{"id":9433,"date":"2023-11-03T11:13:33","date_gmt":"2023-11-03T02:13:33","guid":{"rendered":"https:\/\/www.marketreport.jp\/insight\/?p=9433"},"modified":"2026-05-11T08:27:16","modified_gmt":"2026-05-10T23:27:16","slug":"smart-manufacturing-market-mam","status":"publish","type":"post","link":"https:\/\/www.marketreport.jp\/insight\/smart-manufacturing-market-mam\/","title":{"rendered":"\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u6280\u8853\u5225\uff083D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u3001Al in Manufacturing\u3001\u7121\u4eba\u642c\u9001\u8eca\u3001\u72b6\u614b\u76e3\u8996\u3001\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u30c7\u30b8\u30bf\u30eb\u30c4\u30a4\u30f3\u3001HMI\u3001\u30de\u30b7\u30f3\u30d3\u30b8\u30e7\u30f3\u3001MES\u3001PAM\u3001\u30ed\u30dc\u30c3\u30c8\u3001\u30bb\u30f3\u30b5\u30fc\uff09\u3001\u7523\u696d\u5225\u3001\u5730\u57df\u5225 &#8211; 2028\u5e74\u307e\u3067\u306e\u4e16\u754c\u4e88\u6e2c"},"content":{"rendered":"<p>1 \u306f\u3058\u3081\u306b \uff08\u30da\u30fc\u30b8 &#8211; 41\uff09<br \/>\n1.1 \u7814\u7a76\u76ee\u7684<br \/>\n1.2 \u5e02\u5834\u306e\u5b9a\u7fa9<br \/>\n1.3 \u542b\u307e\u308c\u308b\u3082\u306e\u3068\u9664\u5916\u3055\u308c\u308b\u3082\u306e<br \/>\n1.4 \u8abf\u67fb\u7bc4\u56f2<br \/>\n1.4.1 \u5bfe\u8c61\u5e02\u5834<br \/>\n\u56f31 \u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u306e\u30bb\u30b0\u30e1\u30f3\u30c6\u30fc\u30b7\u30e7\u30f3<br \/>\n1.4.2 \u5730\u57df\u7bc4\u56f2<br \/>\n1.4.3\u5e74<br \/>\n1.4.4 \u901a\u8ca8<br \/>\n1.5 \u30ea\u30df\u30c3\u30c4<br \/>\n1.6 \u5229\u5bb3\u95a2\u4fc2\u8005<br \/>\n1.7 \u5909\u66f4\u70b9\u306e\u307e\u3068\u3081<br \/>\n1.8 \u666f\u6c17\u5f8c\u9000\u306e\u5f71\u97ff<\/p>\n<p>2 \u7814\u7a76\u65b9\u6cd5 (\u30da\u30fc\u30b8 &#8211; 46)<br \/>\n2.1 \u306f\u3058\u3081\u306b<br \/>\n\u56f32 \u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u8abf\u67fb\u30c7\u30b6\u30a4\u30f3<br \/>\n2.1.1 \u4e8c\u6b21\u8abf\u67fb\u304a\u3088\u3073\u4e00\u6b21\u8abf\u67fb<br \/>\n2.1.1.1 \u4e3b\u8981\u696d\u754c\u30a4\u30f3\u30b5\u30a4\u30c8<br \/>\n2.1.2 \u4e8c\u6b21\u30c7\u30fc\u30bf<br \/>\n2.1.2.1 \u4e3b\u8981\u306a\u4e8c\u6b21\u8cc7\u6599\u306e\u30ea\u30b9\u30c8<br \/>\n2.1.2.2 \u4e8c\u6b21\u8cc7\u6599\u304b\u3089\u306e\u4e3b\u8981\u30c7\u30fc\u30bf<br \/>\n2.1.3 \u4e00\u6b21\u30c7\u30fc\u30bf<br \/>\n2.1.3.1 \u30d7\u30e9\u30a4\u30de\u30ea\u30fc\u306e\u5185\u8a33<br \/>\n2.1.3.2 \u4e00\u6b21\u8cc7\u6599\u304b\u3089\u306e\u4e3b\u8981\u30c7\u30fc\u30bf<br \/>\n2.2 \u5e02\u5834\u898f\u6a21\u306e\u63a8\u5b9a\u65b9\u6cd5<br \/>\n\u56f33 \u5e02\u5834\u898f\u6a21\u306e\u63a8\u5b9a\u65b9\u6cd5<br \/>\n2.2.1 \u30dc\u30c8\u30e0\u30a2\u30c3\u30d7\u30fb\u30a2\u30d7\u30ed\u30fc\u30c1<br \/>\n2.2.1.1 \u30dc\u30c8\u30e0\u30a2\u30c3\u30d7\u30fb\u30a2\u30d7\u30ed\u30fc\u30c1\uff08\u9700\u8981\u5074\uff09\u306b\u3088\u308b\u5e02\u5834\u898f\u6a21\u306e\u7b97\u51fa\u65b9\u6cd5<br \/>\n\u56f34 \u5e02\u5834\u898f\u6a21\u306e\u63a8\u5b9a\u65b9\u6cd5\uff1a\u30dc\u30c8\u30e0\u30a2\u30c3\u30d7\u30fb\u30a2\u30d7\u30ed\u30fc\u30c1<br \/>\n2.2.2 \u30c8\u30c3\u30d7\u30c0\u30a6\u30f3\u30fb\u30a2\u30d7\u30ed\u30fc\u30c1<br \/>\n2.2.2.1 \u30c8\u30c3\u30d7\u30c0\u30a6\u30f3\u30fb\u30a2\u30d7\u30ed\u30fc\u30c1\u306b\u3088\u308b\u5e02\u5834\u898f\u6a21\u306e\u7b97\u51fa\u65b9\u6cd5\uff08\u4f9b\u7d66\u5074\uff09<br \/>\n\u56f35 \u5e02\u5834\u898f\u6a21\u306e\u63a8\u5b9a\u65b9\u6cd5\uff1a\u30c8\u30c3\u30d7\u30c0\u30a6\u30f3\u30fb\u30a2\u30d7\u30ed\u30fc\u30c1<br \/>\n2.3 \u5e02\u5834\u306e\u5185\u8a33\u3068\u30c7\u30fc\u30bf\u306e\u4e09\u89d2\u6e2c\u91cf<br \/>\n\u56f36 \u5e02\u5834\u306e\u5185\u8a33\u3068\u30c7\u30fc\u30bf\u306e\u4e09\u89d2\u6e2c\u91cf<br \/>\n2.4 \u7814\u7a76\u306e\u524d\u63d0<br \/>\n\u56f3 7 \u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u8abf\u67fb\u306e\u524d\u63d0<br \/>\n2.5 \u666f\u6c17\u5f8c\u9000\u306e\u5f71\u97ff\u3092\u5206\u6790\u3059\u308b\u30a2\u30d7\u30ed\u30fc\u30c1<br \/>\n2.6 \u30ea\u30b9\u30af\u8a55\u4fa1<br \/>\n\u88681 \u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u30ea\u30b9\u30af\u8a55\u4fa1<\/p>\n<p>3 \u4e8b\u696d\u6982\u8981 \uff08\u30da\u30fc\u30b8 &#8211; 56\uff09<br \/>\n\u56f3 8 \u5009\u5eab\u7ba1\u7406\u30b7\u30b9\u30c6\u30e0\uff08WMS\uff09\u5206\u91ce\u306f 2023 \u5e74\u304b\u3089 2028 \u5e74\u306b\u304b\u3051\u3066\u6700\u3082\u9ad8\u3044\u6210\u9577\u7387\u3092\u793a\u3059<br \/>\n\u56f39 \u30c7\u30b8\u30bf\u30eb\u30fb\u30c4\u30a4\u30f3\u5206\u91ce\u304c2028\u5e74\u306b\u6700\u5927\u30b7\u30a7\u30a2\u3092\u5360\u3081\u308b<br \/>\n\u56f310 2028\u5e74\u306b\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u96fb\u529b\u5206\u91ce\u304c\u6700\u5927\u30b7\u30a7\u30a2\u3092\u5360\u3081\u308b<br \/>\n    FIGURE 11 AUTOMOTIVE SEGMENT TO DOMINATE SMART MANUFACTURING MARKET DURING FORECAST PERIOD<br \/>\n    FIGURE 12 NORTH AMERICA TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD<\/p>\n<p>4 PREMIUM INSIGHTS (Page No. &#8211; 61)<br \/>\n    4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN SMART MANUFACTURING MARKET<br \/>\n           FIGURE 13 EMPHASIS ON REAL-TIME DATA ANALYSIS AND PREDICTIVE MAINTENANCE TO CONTRIBUTE TO SMART MANUFACTURING MARKET GROWTH<br \/>\n    4.2 SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY<br \/>\n           FIGURE 14 WAREHOUSE MANAGEMENT SYSTEM (WMS) SEGMENT TO DEPICT HIGHEST CAGR DURING FORECAST PERIOD<br \/>\n    4.3 SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY<br \/>\n           FIGURE 15 INDUSTRIAL SENSORS SEGMENT TO HOLD LARGEST MARKET SHARE IN 2023<br \/>\n    4.4 SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY<br \/>\n           FIGURE 16 CHEMICALS SEGMENT TO HOLD LARGEST SHARE OF SMART MANUFACTURING MARKET IN 2023<br \/>\n    4.5 SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY<br \/>\n           FIGURE 17 AEROSPACE SEGMENT TO REGISTER AT HIGHEST CAGR BETWEEN 2023 AND 2028<br \/>\n    4.6 SMART MANUFACTURING MARKET, BY REGION<br \/>\n           FIGURE 18 NORTH AMERICA TO HOLD LARGEST SHARE OF SMART MANUFACTURING MARKET IN 2028<br \/>\n    4.7 SMART MANUFACTURING MARKET, BY COUNTRY<br \/>\n           FIGURE 19 MEXICO TO EXHIBIT AT HIGHEST CAGR IN SMART MANUFACTURING MARKET DURING FORECAST PERIOD<\/p>\n<p>5 MARKET OVERVIEW (Page No. &#8211; 65)<br \/>\n    5.1 INTRODUCTION<br \/>\n    5.2 MARKET DYNAMICS<br \/>\n           FIGURE 20 SMART MANUFACTURING MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES<br \/>\n           5.2.1 DRIVERS<br \/>\n                    5.2.1.1 Rising focus on enhancing manufacturing efficiency through automated production<br \/>\n                    5.2.1.2 Increasing government spending on 3D printing technologies<br \/>\n                    5.2.1.3 Pressing need to maintain regulatory compliance of industrial solutions<br \/>\n                    5.2.1.4 Surging demand for innovative technologies to reduce manufacturing downtime and production waste<br \/>\n                               FIGURE 21 SMART MANUFACTURING MARKET: DRIVERS AND THEIR IMPACT<br \/>\n           5.2.2 RESTRAINTS<br \/>\n                    5.2.2.1 Requirement for high initial capital investment<br \/>\n                    5.2.2.2 Lack of technical standards for smart manufacturing<br \/>\n                    5.2.2.3 Need for frequent technological upgrades<br \/>\n                               FIGURE 22 SMART MANUFACTURING MARKET: RESTRAINTS AND THEIR IMPACT<br \/>\n           5.2.3 OPPORTUNITIES<br \/>\n                    5.2.3.1 Rapid advancements in IIoT and cloud computing technologies<br \/>\n                    5.2.3.2 Rising adoption of automation by industrial players<br \/>\n                    5.2.3.3 Increasing investment in infrastructure development projects<br \/>\n                               FIGURE 23 SMART MANUFACTURING MARKET: OPPORTUNITIES AND THEIR IMPACT<br \/>\n           5.2.4 CHALLENGES<br \/>\n                    5.2.4.1 Increasing cyber risks to vulnerable industrial networks<br \/>\n                    5.2.4.2 Complex designs of advanced manufacturing solutions<br \/>\n                    5.2.4.3 Shortage of skilled workforce to handle smart manufacturing<br \/>\n           FIGURE 24 SMART MANUFACTURING MARKET: CHALLENGES AND THEIR IMPACT<br \/>\n    5.3 SUPPLY CHAIN ANALYSIS<br \/>\n           FIGURE 25 SMART MANUFACTURING MARKET: SUPPLY CHAIN ANALYSIS<br \/>\n    5.4 ECOSYSTEM ANALYSIS<br \/>\n           FIGURE 26 SMART MANUFACTURING ECOSYSTEM<br \/>\n           TABLE 2 COMPANIES AND THEIR ROLES IN SMART MANUFACTURING ECOSYSTEM<br \/>\n    5.5 PRICING ANALYSIS<br \/>\n           5.5.1 AVERAGE SELLING PRICE (ASP) OF INDUSTRIAL ROBOTS<br \/>\n                    TABLE 3 AVERAGE SELLING PRICE OF INDUSTRIAL ROBOTS, BY PAYLOAD CAPACITY<br \/>\n                    FIGURE 27 AVERAGE SELLING PRICE OF INDUSTRIAL ROBOTS OFFERED BY KEY PLAYERS, BY PRODUCT<br \/>\n                    TABLE 4 AVERAGE SELLING PRICE OF INDUSTRIAL ROBOTS OFFERED BY KEY PLAYERS, BY PRODUCT (USD)<br \/>\n                    TABLE 5 AVERAGE SELLING PRICES OF OPTICS, BY REGION (USD)<br \/>\n    5.6 TRENDS\/DISRUPTIONS IMPACTING CUSTOMERS\u2019 BUSINESSES<br \/>\n           FIGURE 28 REVENUE SHIFTS AND NEW REVENUE POCKETS FOR PLAYERS IN SMART MANUFACTURING MARKET<br \/>\n    5.7 TECHNOLOGY ANALYSIS<br \/>\n           5.7.1 INDUSTRY 4.0<br \/>\n           5.7.2 ARTIFICIAL INTELLIGENCE (AI)<br \/>\n           5.7.3 INTERNET OF THINGS (IOT)<br \/>\n           5.7.4 BLOCKCHAIN<br \/>\n           5.7.5 AUGMENTED REALITY (AR) AND VIRTUAL REALITY (VR)<br \/>\n           5.7.6 COLLABORATIVE ROBOTS<br \/>\n           5.7.7 PREDICTIVE MAINTENANCE<br \/>\n    5.8 PORTER\u2019S FIVE FORCE ANALYSIS<br \/>\n           TABLE 6 SMART MANUFACTURING MARKET: PORTER\u2019S FIVE FORCES ANALYSIS<br \/>\n           5.8.1 THREAT OF NEW ENTRANTS<br \/>\n           5.8.2 THREAT OF SUBSTITUTES<br \/>\n           5.8.3 BARGAINING POWER OF SUPPLIERS<br \/>\n           5.8.4 BARGAINING POWER OF BUYERS<br \/>\n           5.8.5 INTENSITY OF COMPETITIVE RIVALRY<br \/>\n    5.9 KEY STAKEHOLDERS AND BUYING CRITERIA<br \/>\n           5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS<br \/>\n                    FIGURE 29 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 INDUSTRIES<br \/>\n                    TABLE 7 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 INDUSTRIES (%)<br \/>\n           5.9.2 BUYING CRITERIA<br \/>\n                    FIGURE 30 KEY BUYING CRITERIA FOR TOP 3 INDUSTRIES<br \/>\n                    TABLE 8 KEY BUYING CRITERIA FOR TOP 3 INDUSTRIES<br \/>\n    5.10 CASE STUDY ANALYSIS<br \/>\n           5.10.1 LEMATIC DEVELOPS SAAS SOLUTION TO PROVIDE ACCESS TO CRITICAL INFORMATION<br \/>\n           5.10.2 NBC BEARINGS ESTABLISHES CONNECTED SMART FACTORY TO STREAMLINE INFORMATION FLOW<br \/>\n           5.10.3 ARB MIDSTREAM ADOPTS SCADA SYSTEMS TO DEVELOP OPERATION CONTROL CENTER<br \/>\n           5.10.4 HIETA PARTNERS WITH RENISHAW TO PRODUCE COMMERICAL HEAT EXCHANGERS<br \/>\n           5.10.5 BARCELONA LEVERAGES COMMUNICATION INFRASTRUCTURE TO ENHANCE RESOURCE MANAGEMENT<br \/>\n    5.11 TRADE ANALYSIS<br \/>\n           FIGURE 31 IMPORT DATA FOR HS CODE 847950, BY COUNTRY, 2018\u20132022 (USD MILLION)<br \/>\n           FIGURE 32 EXPORT DATA FOR HS CODE 847950, BY COUNTRY, 2018\u20132022 (USD MILLION)<br \/>\n    5.12 PATENT ANALYSIS<br \/>\n           FIGURE 33 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS<br \/>\n           FIGURE 34 NUMBER OF PATENTS RELATED TO SMART MANUFACTURING SOLUTIONS GRANTED IN LAST 10 YEARS<br \/>\n           TABLE 9 TOP 20 PATENT OWNERS IN LAST 10 YEARS<br \/>\n           5.12.1 LIST OF MAJOR PATENTS<br \/>\n    5.13 KEY CONFERENCES AND EVENTS, 2023\u20132024<br \/>\n           TABLE 10 SMART MANUFACTURING MARKET: LIST OF CONFERENCES AND EVENTS<br \/>\n    5.14 REGULATORY LANDSCAPE<br \/>\n           5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS<br \/>\n                    TABLE 11 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS<br \/>\n                    TABLE 12 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS<br \/>\n                    TABLE 13 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS<br \/>\n                    TABLE 14 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS<br \/>\n           5.14.2 STANDARDS<br \/>\n                    5.14.2.1 IEC TS 62832-1: 2020<br \/>\n                    5.14.2.2 Open Platform Communications United Architecture (OPC UA)<br \/>\n                    5.14.2.3 ISO\/IEC TR 63306-1: 2020<br \/>\n                    5.14.2.4 ISO 55001: 2014<br \/>\n                    5.14.2.5 Industrial safety standards<br \/>\n                    5.14.2.6 Smart manufacturing standards<br \/>\n                               5.14.2.6.1 Society 5.0 &#8211; Japan<br \/>\n                               5.14.2.6.2 RIE2020 &#8211; Singapore<br \/>\n                               5.14.2.6.3 USB3 Vision<br \/>\n                               5.14.2.6.4 CoaXPress (CXP)<br \/>\n                    5.14.2.7 Machine Vision cameras and sensors<br \/>\n                               5.14.2.7.1 EMVA 1288<br \/>\n                               5.14.2.7.2 ASTM E57<br \/>\n                    5.14.2.8 Lens mount standards<br \/>\n                               5.14.2.8.1 Japan Industrial Imaging Association (JIAA)<br \/>\n                    5.14.2.9 PROGRAMMING INTERFACE<br \/>\n                               5.14.2.9.1 GenICam<br \/>\n                                             TABLE 15 SMART MANUFACTURING MARKET: REGULATIONS AND STANDARDS<\/p>\n<p>6 SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY (Page No. &#8211; 103)<br \/>\n    6.1 INTRODUCTION<br \/>\n           FIGURE 35 SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY<br \/>\n           FIGURE 36 MANUFACTURING EXECUTION SYSTEM (MES) SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD<br \/>\n           TABLE 16 SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 17 SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY, 2023\u20132028 (USD MILLION)<br \/>\n           TABLE 18 INFORMATION TECHNOLOGY: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 19 INFORMATION TECHNOLOGY: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n           TABLE 20 INFORMATION TECHNOLOGY: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 21 INFORMATION TECHNOLOGY: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n           TABLE 22 INFORMATION TECHNOLOGY: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 23 INFORMATION TECHNOLOGY: SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n    6.2 HUMAN\u2013MACHINE INTERFACE (HMI)<br \/>\n           6.2.1 RELIANCE ON HMI TECHNOLOGY TO CONVERT COMPLEX PROCESS VARIABLES INTO ACTIONABLE INSIGHTS TO FUEL SEGMENTAL GROWTH<br \/>\n           6.2.2 HUMAN\u2013MACHINE INTERFACE (HMI), BY OFFERING<br \/>\n                    6.2.2.1 Software<br \/>\n                    6.2.2.2 Hardware<br \/>\n           6.2.3 HUMAN\u2013MACHINE INTERFACE, BY CONFIGURATION TYPE<br \/>\n                    6.2.3.1 Standalone HMI<br \/>\n                    6.2.3.2 Embedded HMI<br \/>\n                               TABLE 24 HUMAN\u2013MACHINE INTERFACE (HMI): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 25 HUMAN\u2013MACHINE INTERFACE (HMI): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 26 HUMAN\u2013MACHINE INTERFACE (HMI): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 27 HUMAN\u2013MACHINE INTERFACE (HMI): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 28 HUMAN\u2013MACHINE INTERFACE (HMI): SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 29 HUMAN-MACHINE INTERFACE (HMI): SMART MANUFACTURING MARKET FOR INFORMATION TECHNOLOGY, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n    6.3 PLANT ASSET MANAGEMENT (PAM)<br \/>\n           6.3.1 ADOPTION OF PAM SYSTEMS TO BUILD COMPREHENSIVE DATA RECORDS TO ACCELERATE MARKET GROWTH<br \/>\n                    TABLE 30 PLANT ASSET MANAGEMENT (PAM): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                    TABLE 31 PLANT ASSET MANAGEMENT (PAM): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                    TABLE 32 PLANT ASSET MANAGEMENT (PAM): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                    TABLE 33 PLANT ASSET MANAGEMENT (PAM): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                    TABLE 34 PLANT ASSET MANAGEMENT (PAM): SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                    TABLE 35 PLANT ASSET MANAGEMENT (PAM): SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n           6.3.2 PLANT ASSET MANAGEMENT (PAM), BY OFFERING<br \/>\n                    6.3.2.1 Software<br \/>\n                    6.3.2.2 Services<br \/>\n           6.3.3 PLANT ASSET MANAGEMENT (PAM), BY DEPLOYMENT MODE<br \/>\n                    6.3.3.1 Offline<br \/>\n                    6.3.3.2 Online<br \/>\n           6.3.4 PLANT ASSET MANAGEMENT (PAM), BY ASSET TYPE<br \/>\n                    6.3.4.1 Production asset<br \/>\n                    6.3.4.2 Automation asset<br \/>\n    6.4 MANUFACTURING EXECUTION SYSTEM (MES)<br \/>\n           6.4.1 RAPID ADVANCEMENTS IN MES TECHNOLOGY TO PROPEL MARKET<br \/>\n           6.4.2 MANUFACTURING EXECUTION SYSTEM (MES), BY DEPLOYMENT MODE<br \/>\n                    6.4.2.1 On-premise<br \/>\n                    6.4.2.2 On-demand<br \/>\n                    6.4.2.3 Hybrid<br \/>\n           6.4.3 MANUFACTURING EXECUTION SYSTEM (MES), BY OFFERING<br \/>\n                    6.4.3.1 Software<br \/>\n                    6.4.3.2 Solutions<br \/>\n                               TABLE 36 MANUFACTURING EXECUTION SYSTEM (MES): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 37 MANUFACTURING EXECUTION SYSTEM (MES): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 38 MANUFACTURING EXECUTION SYSTEM (MES): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 39 MANUFACTURING EXECUTION SYSTEM (MES): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 40 MANUFACTURING EXECUTION SYSTEM (MES): SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 41 MANUFACTURING EXECUTION SYSTEM (MES): SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n    6.5 WAREHOUSE MANAGEMENT SYSTEM (WMS)<br \/>\n           6.5.1 EMPLOYMENT OF WMS SOLUTIONS TO SUPPORT INVENTORY CONTROL AND LABOR MANAGEMENT TO PROPEL MARKET<br \/>\n           6.5.2 WAREHOUSE MANAGEMENT SYSTEM (WMS), BY APPLICATION<br \/>\n                    6.5.2.1 Inventory management<br \/>\n                    6.5.2.2 Order management<br \/>\n           6.5.3 WAREHOUSE MANAGEMENT SYSTEM (WMS), BY DEPLOYMENT MODE<br \/>\n                    6.5.3.1 On-premises<br \/>\n                    6.5.3.2 Cloud-based<br \/>\n           6.5.4 WAREHOUSE MANAGEMENT SYSTEM (WMS), BY TIER TYPE<br \/>\n                    6.5.4.1 Tier 1<br \/>\n                    6.5.4.2 Tier 2<br \/>\n                    6.5.4.3 Tier 3<br \/>\n                               TABLE 42 WAREHOUSE MANAGEMENT SYSTEM (WMS): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 43 WAREHOUSE MANAGEMENT SYSTEM (WMS): SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 44 WAREHOUSE MANAGEMENT SYSTEM (WMS): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 45 WAREHOUSE MANAGEMENT SYSTEM (WMS): SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 46 WAREHOUSE MANAGEMENT SYSTEM (WMS): SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 47 WAREHOUSE MANAGEMENT SYSTEM (WMS): SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<\/p>\n<p>7 SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY (Page No. &#8211; 126)<br \/>\n    7.1 INTRODUCTION<br \/>\n           FIGURE 37 SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY<br \/>\n           FIGURE 38 DIGITAL TWIN SEGMENT TO EXHIBIT HIGHEST CAGR IN SMART MANUFACTURING MARKET DURING FORECAST PERIOD<br \/>\n           TABLE 48 SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 49 SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY, 2023\u20132028 (USD MILLION)<br \/>\n           TABLE 50 ENABLING TECHNOLOGY: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n\u886851 \u30a4\u30cd\u30fc\u30d6\u30ea\u30f3\u30b0\u6280\u8853\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 52 \u30a4\u30cd\u30fc\u30d6\u30ea\u30f3\u30b0\u6280\u8853\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886853 \u30a4\u30cd\u30fc\u30d6\u30ea\u30f3\u30b0\u6280\u8853\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886854 \u30a4\u30cd\u30fc\u30d6\u30ea\u30f3\u30b0\u6280\u8853\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30c7\u30a3\u30b9\u30af\u30ea\u30fc\u30c8\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886855 \u30a4\u30cd\u30fc\u30d6\u30ea\u30f3\u30b0\u6280\u8853\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30c7\u30a3\u30b9\u30af\u30ea\u30fc\u30c8\u7523\u696d\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n7.2 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0<br \/>\n7.2.1 \u8907\u96d1\u306a\u8a2d\u8a08\u306e\u90e8\u54c1\u88fd\u9020\u306e\u7c21\u7d20\u5316\u91cd\u8996\u304c\u30bb\u30b0\u30e1\u30f3\u30c8\u6210\u9577\u3092\u62bc\u3057\u4e0a\u3052\u308b<br \/>\n7.2.2 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u3001\u88fd\u54c1\u5225<br \/>\n7.2.2.1 \u30d7\u30ea\u30f3\u30bf\u30fc<br \/>\n7.2.2.2 \u7d20\u6750<br \/>\n7.2.2.3 \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2<br \/>\n7.2.2.4 \u30b5\u30fc\u30d3\u30b9<br \/>\n7.2.3 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u3001\u7528\u9014\u5225<br \/>\n7.2.3.1 \u30c4\u30fc\u30ea\u30f3\u30b0<br \/>\n7.2.3.2 \u91cd\u6a5f\u304a\u3088\u3073\u6a5f\u68b0\u985e<br \/>\n7.2.3.3 \u30ed\u30dc\u30c3\u30c8\u5de5\u5b66<br \/>\n7.2.4 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u3001\u30d7\u30ed\u30bb\u30b9\u5225<br \/>\n7.2.4.1 \u30d0\u30a4\u30f3\u30c0\u30fc\u5674\u5c04<br \/>\n7.2.4.2 \u76f4\u63a5\u30a8\u30cd\u30eb\u30ae\u30fc\u84b8\u7740<br \/>\n7.2.4.3 \u7d20\u6750\u306e\u62bc\u3057\u51fa\u3057<br \/>\n7.2.4.4 \u30de\u30c6\u30ea\u30a2\u30eb\u5674\u5c04<br \/>\n7.2.4.5 \u7c89\u5e8a\u878d\u5408<br \/>\n7.2.4.6 \u30b7\u30fc\u30c8\u30e9\u30df\u30cd\u30fc\u30b7\u30e7\u30f3<br \/>\n7.2.4.7 \u30d0\u30c3\u30c8\u5149\u91cd\u5408<br \/>\n7.2.5 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u3001\u6280\u8853\u5225<br \/>\n7.2.5.1 \u88fd\u9020\u30d7\u30ed\u30bb\u30b9\u3092\u30b5\u30dd\u30fc\u30c8\u3057\u3001\u30b5\u30d7\u30e9\u30a4\u30c1\u30a7\u30fc\u30f3\u3092\u5f37\u5316\u3059\u308b\u305f\u3081\u306e\u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u6280\u8853\u306e\u5c0e\u5165\u304c\u30bb\u30b0\u30e1\u30f3\u30c8\u6210\u9577\u3092\u4fc3\u9032\u3059\u308b<br \/>\n\u886856 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 57 \u7523\u696d\u7528 3d \u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012023\uff5e2028 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886858 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886859 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886860 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u500b\u5225\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886861 \u7523\u696d\u75283D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u500b\u5225\u7523\u696d\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n7.3 \u30ed\u30dc\u30c3\u30c8<br \/>\n7.3.1 \u7523\u696d\u7528\u30ed\u30dc\u30c3\u30c8\u306e\u6027\u80fd\u3092\u5411\u4e0a\u3055\u305b\u308b\u305f\u3081\u306eAI\u3084ML\u6280\u8853\u306e\u5c0e\u5165\u304c\u30bb\u30b0\u30e1\u30f3\u30c8\u306e\u6210\u9577\u306b\u5bc4\u4e0e\u3059\u308b<br \/>\n7.3.2 \u30ed\u30dc\u30c3\u30c8\u3001\u30bf\u30a4\u30d7\u5225<br \/>\n7.3.2.1 \u5f93\u6765\u306e\u30ed\u30dc\u30c3\u30c8<br \/>\n7.3.2.1.1 \u591a\u95a2\u7bc0\u30ed\u30dc\u30c3\u30c8<br \/>\n7.3.2.1.2 \u76f4\u4ea4\u30ed\u30dc\u30c3\u30c8<br \/>\n7.3.2.1.3 \u9078\u629e\u30b3\u30f3\u30d7\u30e9\u30a4\u30a2\u30f3\u30b9\u7d44\u7acb\u30ed\u30dc\u30c3\u30c8\u30a2\u30fc\u30e0\uff08SCARAs\uff09<br \/>\n7.3.2.1.4 \u30d1\u30e9\u30ec\u30eb\u30ed\u30dc\u30c3\u30c8<br \/>\n7.3.2.1.5 \u305d\u306e\u4ed6\u306e\u5f93\u6765\u578b\u30ed\u30dc\u30c3\u30c8<br \/>\n7.3.2.2 \u5354\u50cd\u30ed\u30dc\u30c3\u30c8<br \/>\n\u886862 \u30ed\u30dc\u30c3\u30c8\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886863 \u30ed\u30dc\u30c3\u30c8\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u886864 \u30ed\u30dc\u30c3\u30c8\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 65 \u30ed\u30dc\u30c3\u30c8\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225 2023-2028 (\u767e\u4e07\u7c73\u30c9\u30eb)<br \/>\n\u8868 66 \u30ed\u30dc\u30c3\u30c8\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u500b\u5225\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 67 \u30ed\u30dc\u30c3\u30c8\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u500b\u5225\u7523\u696d\u5225 2023-2028 (\u767e\u4e07\u7c73\u30c9\u30eb)<br \/>\n\u8868 68 \u7523\u696d\u7528\u30ed\u30dc\u30c3\u30c8\u5e02\u5834\u3001\u30bf\u30a4\u30d7\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u5343\u53f0\uff09<br \/>\n\u8868 69 \u7523\u696d\u7528\u30ed\u30dc\u30c3\u30c8\u5e02\u5834\u3001\u30bf\u30a4\u30d7\u5225\u30012023-2028 \u5e74\uff08\u5343\u53f0\uff09<br \/>\n7.4 \u7523\u696d\u7528\u30bb\u30f3\u30b5\u30fc<br \/>\n           7.4.1 INTEGRATION OF INDUSTRIAL SENSORS WITH ADVANCED CONNECTIVITY SOLUTIONS TO FUEL MARKET GROWTH<br \/>\n           7.4.2 INDUSTRIAL SENSORS, BY TYPE<br \/>\n                    7.4.2.1 Wired<br \/>\n                    7.4.2.2 Wireless<br \/>\n                               TABLE 70 INDUSTRIAL SENSORS: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 71 INDUSTRIAL SENSORS: SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 72 INDUSTRIAL SENSORS: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 73 INDUSTRIAL SENSORS: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n    7.5 AI IN MANUFACTURING<br \/>\n           7.5.1 RELIANCE ON AI TECHNOLOGY TO REVOLUTIONIZE MANUFACTURING OPERATIONS TO PROPEL MARKET<br \/>\n           7.5.2 AI IN MANUFACTURING, BY OFFERING<br \/>\n                    7.5.2.1 Hardware<br \/>\n                    7.5.2.2 Software<br \/>\n           7.5.3 AI IN MANUFACTURING, BY TECHNOLOGY<br \/>\n                    7.5.3.1 Computer vision<br \/>\n                    7.5.3.2 Deep learning<br \/>\n                    7.5.3.3 Natural language processing (NLP)<br \/>\n                    7.5.3.4 Context awareness<br \/>\n           7.5.4 AI IN MANUFACTURING, BY APPLICATION<br \/>\n                    7.5.4.1 Predictive maintenance<br \/>\n                    7.5.4.2 Machinery inspection<br \/>\n                    7.5.4.3 Production planning<br \/>\n                    7.5.4.4 Field services<br \/>\n                    7.5.4.5 Quality control<br \/>\n                               TABLE 74 AI IN MANUFACTURING: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 75 AI IN MANUFACTURING: SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 76 AI IN MANUFACTURING: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 77 AI IN MANUFACTURING: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 78 AI IN MANUFACTURING: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 79 AI IN MANUFACTURING: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n    7.6 MACHINE CONDITION MONITORING<br \/>\n           7.6.1 RELIANCE ON PREDICTIVE MONITORING SYSTEMS TO DETECT THREATS AND TAKE REMEDIAL ACTIONS TO FUEL MARKET GROWTH<br \/>\n           7.6.2 MACHINE CONDITION MONITORING, BY TECHNIQUE<br \/>\n                    7.6.2.1 Vibration monitoring<br \/>\n                    7.6.2.2 Thermography<br \/>\n                    7.6.2.3 Oil analysis<br \/>\n                    7.6.2.4 Corrosion monitoring<br \/>\n                    7.6.2.5 Motor current analysis<br \/>\n           7.6.3 MACHINE CONDITION MONITORING, BY OFFERING<br \/>\n                    7.6.3.1 Hardware<br \/>\n                    7.6.3.2 Software<br \/>\n           7.6.4 MACHINE CONDITION MONITORING, BY DEPLOYMENT TYPE<br \/>\n                    7.6.4.1 On-premises<br \/>\n                    7.6.4.2 Cloud-based<br \/>\n                               TABLE 80 MACHINE CONDITION MONITORING: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 81 MACHINE CONDITION MONITORING: SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 82 MACHINE CONDITION MONITORING: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 83 MACHINE CONDITION MONITORING: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 84 MACHINE CONDITION MONITORING: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 85 MACHINE CONDITION MONITORING: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n    7.7 INDUSTRIAL MACHINE VISION<br \/>\n           7.7.1 APPLICATION OF 3D MACHINE VISION TECHNOLOGY IN MANUFACTURING PROCESSES TO ACCELERATE SEGMENTAL GROWTH<br \/>\n           7.7.2 INDUSTRIAL MACHINE VISION, BY COMPONENT<br \/>\n                    7.7.2.1 Hardware<br \/>\n                    7.7.2.2 Software<br \/>\n           7.7.3 INDUSTRIAL MACHINE VISION, BY PRODUCT<br \/>\n                    7.7.3.1 PC-based<br \/>\n                    7.7.3.2 Smart camera-based<br \/>\n           7.7.4 INDUSTRIAL MACHINE VISION, BY APPLICATION<br \/>\n                    7.7.4.1 Quality assurance and inspection<br \/>\n                    7.7.4.2 Positioning and guidance<br \/>\n                    7.7.4.3 Measurement<br \/>\n                    7.7.4.4 Identification<br \/>\n                               TABLE 86 INDUSTRIAL MACHINE VISION: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 87 INDUSTRIAL MACHINE VISION: SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 88 INDUSTRIAL MACHINE VISION: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 89 INDUSTRIAL MACHINE VISION: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 90 INDUSTRIAL MACHINE VISION: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 91 INDUSTRIAL MACHINE VISION: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n    7.8 INDUSTRIAL CYBERSECURITY<br \/>\n           7.8.1 RELIANCE ON SECURE INDUSTRIAL CONTROL SYSTEMS TO FUEL MARKET GROWTH<br \/>\n           7.8.2 INDUSTRIAL CYBERSECURITY, BY TYPE<br \/>\n                    7.8.2.1 Network security<br \/>\n                    7.8.2.2 Application security<br \/>\n                    7.8.2.3 Endpoint security<br \/>\n                    7.8.2.4 Cloud security<br \/>\n                    7.8.2.5 Wireless security<br \/>\n                    7.8.2.6 Other security types<br \/>\n           7.8.3 INDUSTRIAL CYBERSECURITY, BY PRODUCT<br \/>\n                    7.8.3.1 Gateways<br \/>\n                    7.8.3.2 Network devices<br \/>\n           7.8.4 INDUSTRIAL CYBERSECURITY, BY TYPE<br \/>\n                    7.8.4.1 Solutions<br \/>\n                    7.8.4.2 Services<br \/>\n                               TABLE 92 INDUSTRIAL CYBERSECURITY: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 93 INDUSTRIAL CYBERSECURITY: SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 94 INDUSTRIAL CYBERSECURITY: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 95 INDUSTRIAL CYBERSECURITY: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n    7.9 DIGITAL TWIN<br \/>\n           7.9.1 INTEGRATION OF AI AND ML WITH DIGITAL TWIN TECHNOLOGIES TO CONTRIBUTE TO MARKET GROWTH<br \/>\n           7.9.2 DIGITAL TWIN, BY APPLICATION<br \/>\n                    7.9.2.1 Product design and development<br \/>\n                    7.9.2.2 Machine and equipment health monitoring<br \/>\n                    7.9.2.3 Structural health monitoring<br \/>\n                    7.9.2.4 Condition monitoring<br \/>\n                    7.9.2.5 Predictive maintenance<br \/>\n                    7.9.2.6 Dynamic optimization<br \/>\n                               TABLE 96 DIGITAL TWIN: SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 97 DIGITAL TWIN: SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 98 DIGITAL TWIN: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 99 DIGITAL TWIN: SMART MANUFACTURING MARKET, BY PROCESS INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n                               TABLE 100 DIGITAL TWIN: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n                               TABLE 101 DIGITAL TWIN: SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n    7.10 AUTOMATED GUIDED VEHICLES<br \/>\n           7.10.1 DEPLOYMENT OF 5G TO PROVIDE HIGH-SPEED VEHICLE CONNECTIVITY AND NAVIGATION TO PROPEL MARKET<br \/>\n           7.10.2 AUTOMATED GUIDED VEHICLES, BY TYPE<br \/>\n                    7.10.2.1 Unit load carriers<br \/>\n                    7.10.2.2 Tow vehicles<br \/>\n                    7.10.2.3 Pallet trucks<br \/>\n                    7.10.2.4 Assembly line vehicles<br \/>\n           7.10.3 AUTOMATED GUIDED VEHICLES, BY NAVIGATION TECHNOLOGY<br \/>\n                    7.10.3.1 Laser guidance<br \/>\n                    7.10.3.2 Magnetic guidance<br \/>\n7.10.3.3 \u30d3\u30b8\u30e7\u30f3\u30ac\u30a4\u30c0\u30f3\u30b9<br \/>\n7.10.3.4 \u8a98\u5c0e<br \/>\n7.10.3.5 \u5149\u30c6\u30fc\u30d7\u30fb\u30ac\u30a4\u30c0\u30f3\u30b9<br \/>\n7.10.4 \u81ea\u52d5\u642c\u9001\u8eca\u3001\u7528\u9014\u5225<br \/>\n7.10.4.1 \u8f38\u9001<br \/>\n7.10.4.2 \u30c7\u30a3\u30b9\u30c8\u30ea\u30d3\u30e5\u30fc\u30b7\u30e7\u30f3<br \/>\n7.10.4.3 \u4fdd\u7ba1<br \/>\n7.10.4.4 \u30a2\u30bb\u30f3\u30d6\u30ea<br \/>\n7.10.4.5 \u30d1\u30c3\u30b1\u30fc\u30b8\u30f3\u30b0<br \/>\n\u8868102 \u81ea\u52d5\u642c\u9001\u8eca\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868103 \u81ea\u52d5\u642c\u9001\u8eca\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012023\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 104 \u81ea\u52d5\u642c\u9001\u8eca\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 105 \u81ea\u52d5\u642c\u9001\u8eca\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225 2023-2028 (\u767e\u4e07\u7c73\u30c9\u30eb)<br \/>\n\u8868106 \u81ea\u52d5\u642c\u9001\u8eca\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u500b\u5225\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 107 \u81ea\u52d5\u642c\u9001\u8eca\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u500b\u5225\u7523\u696d\u5225\u30012023\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n7.11 \u62e1\u5f35\u73fe\u5b9f\u3068\u4eee\u60f3\u73fe\u5b9f<br \/>\n7.11.1 \u88fd\u9020\u696d\u306b\u304a\u3051\u308bAR\u30fbVR\u6280\u8853\u306e\u9700\u8981\u62e1\u5927\u304c\u5e02\u5834\u3092\u727d\u5f15\u3059\u308b<br \/>\n7.11.2 \u62e1\u5f35\u73fe\u5b9f\u3068\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\uff08\u6280\u8853\u5225<br \/>\n7.11.2.1 \u62e1\u5f35\u73fe\u5b9f\u611f<br \/>\n7.11.2.2 \u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3<br \/>\n7.11.3 \u62e1\u5f35\u73fe\u5b9f\u611f\uff06\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\uff08\u30b5\u30fc\u30d3\u30b9\u5225<br \/>\n7.11.3.1 \u30cf\u30fc\u30c9\u30a6\u30a7\u30a2<br \/>\n7.11.3.2 \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2<br \/>\n7.11.4 \u62e1\u5f35\u73fe\u5b9f\u611f\uff06\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\u3001\u30c7\u30d0\u30a4\u30b9\u30bf\u30a4\u30d7\u5225<br \/>\n7.11.4.1 \u30d8\u30c3\u30c9\u30de\u30a6\u30f3\u30c8\u30c7\u30a3\u30b9\u30d7\u30ec\u30a4\uff08HMD\uff09<br \/>\n7.11.4.2 \u30d8\u30c3\u30c9\u30a2\u30c3\u30d7\u30c7\u30a3\u30b9\u30d7\u30ec\u30a4\uff08HUD\uff09<br \/>\n\u8868108 \u62e1\u5f35\u73fe\u5b9f\uff06\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 109 \u62e1\u5f35\u73fe\u5b9f\u3068\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225 2023-2028 (\u767e\u4e07\u7c73\u30c9\u30eb)<br \/>\n\u8868110 \u62e1\u5f35\u73fe\u5b9f\uff06\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u500b\u5225\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868111 \u62e1\u5f35\u73fe\u5b9f\u3068\u30d0\u30fc\u30c1\u30e3\u30eb\u30ea\u30a2\u30ea\u30c6\u30a3\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u30c7\u30a3\u30b9\u30af\u30ea\u30fc\u30c8\u7523\u696d\u5225 2023-2028 (\u767e\u4e07\u7c73\u30c9\u30eb)<br \/>\n7.12 5G\u7523\u696d\u7528iot<br \/>\n7.12.1 \u4fe1\u983c\u6027\u306e\u9ad8\u3044\u4f4e\u9045\u5ef6\u30cd\u30c3\u30c8\u30ef\u30fc\u30af\u3078\u306e\u9700\u8981\u306e\u9ad8\u307e\u308a\u304c\u30bb\u30b0\u30e1\u30f3\u30c8\u6210\u9577\u3092\u62bc\u3057\u4e0a\u3052\u308b<br \/>\n\u8868112 5g\u7523\u696d\u7528iot\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868113 5g\u7523\u696d\u7528iot\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868114 5G\u7523\u696d\u7528iot\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868115 5G\u7523\u696d\u7528iot\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u7523\u696d\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<\/p>\n<p>8 \u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u5e02\u5834\uff1a\u7523\u696d\u5225\uff08\u30da\u30fc\u30b8 &#8211; 179\uff09<br \/>\n8.1 \u5c0e\u5165<br \/>\n\u56f3 39 \u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff08\u7523\u696d\u5225<br \/>\n8.2 \u30d7\u30ed\u30bb\u30b9\u7523\u696d<br \/>\n\u56f340 2028\u5e74\u3001\u30a8\u30cd\u30eb\u30ae\u30fc\u30fb\u96fb\u529b\u5206\u91ce\u304c\u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u5e02\u5834\u3067\u6700\u5927\u30b7\u30a7\u30a2\u3092\u5360\u3081\u308b<br \/>\n\u8868116 \u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u5e02\u5834\u3001\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 117 \u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u5e02\u5834\uff1a\u30d7\u30ed\u30bb\u30b9\u7523\u696d\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 118 \u30d7\u30ed\u30bb\u30b9\u7523\u696d\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u60c5\u5831\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868119 \u30d7\u30ed\u30bb\u30b9\u7523\u696d\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u60c5\u5831\u6280\u8853\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868120 \u30d7\u30ed\u30bb\u30b9\u7523\u696d\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5b9f\u73fe\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 121 \u30d7\u30ed\u30bb\u30b9\u7523\u696d\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u5b9f\u73fe\u6280\u8853\u5225 2023-2028 (\u767e\u4e07\u7c73\u30c9\u30eb)<br \/>\n8.2.1 \u77f3\u6cb9\u30fb\u30ac\u30b9<br \/>\n                    8.2.1.1 Utilization of asset monitoring solutions by oil &#038; gas companies to drive market<br \/>\n           8.2.2 FOOD &#038; BEVERAGES<br \/>\n                    8.2.2.1 Requirement for increased productivity and reduced downtime in food &#038; beverage manufacturing plants to fuel segmental growth<br \/>\n           8.2.3 PHARMACEUTICALS<br \/>\n                    8.2.3.1 Deployment of automated systems to increase operational efficiency by pharma companies to boost market growth<br \/>\n           8.2.4 CHEMICALS<br \/>\n                    8.2.4.1 Reliance of chemical manufacturers on automated solutions to maintain ideal inventory levels to contribute to market growth<br \/>\n           8.2.5 ENERGY &#038; POWER<br \/>\n                    8.2.5.1 Adoption of smart manufacturing tools to facilitate efficient energy &#038; power management to propel market<br \/>\n           8.2.6 METALS &#038; MINING<br \/>\n                    8.2.6.1 Deployment of enabling technologies to optimize metal production to fuel segmental growth<br \/>\n           8.2.7 PULP &#038; PAPER<br \/>\n                    8.2.7.1 Use of smart manufacturing solutions to cut costs and increase pulp &#038; paper output to drive market<br \/>\n           8.2.8 OTHER PROCESS INDUSTRIES<br \/>\n    8.3 DISCRETE INDUSTRIES<br \/>\n           FIGURE 41 AUTOMOTIVE SEGMENT TO DOMINATE SMART MANUFACTURING MARKET FROM 2023 TO 2028<br \/>\n           TABLE 122 SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 123 SMART MANUFACTURING MARKET, BY DISCRETE INDUSTRY, 2023\u20132028 (USD MILLION)<br \/>\n           TABLE 124 DISCRETE INDUSTRY: SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 125 DISCRETE INDUSTRY: SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY, 2023\u20132028 (USD MILLION)<br \/>\n           TABLE 126 DISCRETE INDUSTRY: SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 127 DISCRETE INDUSTRY: SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY, 2023\u20132028 (USD MILLION)<br \/>\n           8.3.1 AUTOMOTIVE<br \/>\n                    8.3.1.1 Use of cobots to manage mission-critical tasks in automotive manufacturing plants to contribute to market growth<br \/>\n           8.3.2 AEROSPACE<br \/>\n                    8.3.2.1 Deployment of AI technologies to detect aerospace &#038; defense machinery faults to propel market<br \/>\n           8.3.3 SEMICONDUCTOR &#038; ELECTRONICS<br \/>\n                    8.3.3.1 Adoption of smart manufacturing solutions to strengthen semiconductor &#038; electronics supply chain to boost segmental growth<br \/>\n           8.3.4 MEDICAL DEVICES<br \/>\n                    8.3.4.1 Utilization of robots in medical facilities to maintain infection-free environment to drive segmental growth<br \/>\n           8.3.5 MACHINE MANUFACTURING<br \/>\n                    8.3.5.1 Reliance on AI technology to analyze machine manufacturing conditions and reduce downtime to accelerate market growth<br \/>\n           8.3.6 OTHER DISCRETE INDUSTRIES<\/p>\n<p>9 SMART MANUFACTURING MARKET, BY REGION (Page No. &#8211; 197)<br \/>\n    9.1 INTRODUCTION<br \/>\n           FIGURE 42 SMART MANUFACTURING MARKET, BY REGION<br \/>\n           FIGURE 43 NORTH AMERICA TO DOMINATE SMART MANUFACTURING MARKET DURING FORECAST PERIOD<br \/>\n           TABLE 128 SMART MANUFACTURING MARKET, BY REGION, 2019\u20132022 (USD MILLION)<br \/>\n           TABLE 129 SMART MANUFACTURING MARKET, BY REGION, 2023\u20132028 (USD MILLION)<br \/>\n    9.2 NORTH AMERICA<br \/>\n           9.2.1 RECESSION IMPACT ON MARKET IN NORTH AMERICA<br \/>\n                    FIGURE 44 NORTH AMERICA: SMART MANUFACTURING MARKET SNAPSHOT<br \/>\n                    FIGURE 45 US TO ACCOUNT FOR LARGEST SHARE OF SMART MANUFACTURING MARKET IN 2028<br \/>\n                    TABLE 130 NORTH AMERICA: SMART MANUFACTURING MARKET, BY COUNTRY, 2019\u20132022 (USD MILLION)<br \/>\n                    TABLE 131 NORTH AMERICA: SMART MANUFACTURING MARKET, BY COUNTRY, 2023\u20132028 (USD MILLION)<br \/>\n                    TABLE 132 NORTH AMERICA: SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY, 2019\u20132022 (USD MILLION)<br \/>\n                    TABLE 133 NORTH AMERICA: SMART MANUFACTURING MARKET, BY INFORMATION TECHNOLOGY, 2023\u20132028 (USD MILLION)<br \/>\n                    TABLE 134 NORTH AMERICA: SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY, 2019\u20132022 (USD MILLION)<br \/>\n                    TABLE 135 NORTH AMERICA: SMART MANUFACTURING MARKET, BY ENABLING TECHNOLOGY, 2023\u20132028 (USD MILLION)<br \/>\n           9.2.2 US<br \/>\n                    9.2.2.1 Increasing adoption of automation solutions to improve operational efficiency to drive market<br \/>\n           9.2.3 CANADA<br \/>\n                    9.2.3.1 Growing emphasis on innovation of food &#038; beverage processing activities to accelerate market growth<br \/>\n9.2.4 \u30e1\u30ad\u30b7\u30b3<br \/>\n9.2.4.1 IIoT\u3068\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\u6280\u8853\u306e\u9032\u6b69\u304c\u5e02\u5834\u6210\u9577\u306b\u5bc4\u4e0e\u3059\u308b<br \/>\n9.3 \u30e8\u30fc\u30ed\u30c3\u30d1<br \/>\n9.3.1 \u6b27\u5dde\u5e02\u5834\u306b\u304a\u3051\u308b\u666f\u6c17\u5f8c\u9000\u306e\u5f71\u97ff<br \/>\n\u56f3 46 \u6b27\u5dde\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u306e\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u56f347 2023\u5e74\u3001\u30c9\u30a4\u30c4\u304c\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3067\u6700\u5927\u306e\u30b7\u30a7\u30a2\u3092\u5360\u3081\u308b<br \/>\n\u8868 136 \u6b27\u5dde\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u56fd\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 137 \u6b27\u5dde\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u56fd\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 138 \u6b27\u5dde\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u60c5\u5831\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 139 \u6b27\u5dde\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u60c5\u5831\u6280\u8853\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 140 \u6b27\u5dde\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u5b9f\u73fe\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 141 \u6b27\u5dde\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u5b9f\u73fe\u6280\u8853\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n9.3.2 \u82f1\u56fd<br \/>\n9.3.2.1 \u88fd\u9020\u52b9\u7387\u3092\u9ad8\u3081\u308b\u305f\u3081\u306eIoT\u3001\u30af\u30e9\u30a6\u30c9\u30015G\u6280\u8853\u306e\u63a1\u7528\u304c\u5e02\u5834\u3092\u727d\u5f15\u3059\u308b<br \/>\n9.3.3 \u30c9\u30a4\u30c4<br \/>\n9.3.3.1 \u88fd\u9020\u65bd\u8a2d\u306b\u304a\u3051\u308b\u30af\u30e9\u30a6\u30c9\u30d9\u30fc\u30b9\u306e\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306e\u5c0e\u5165\u304c\u5e02\u5834\u3092\u4fc3\u9032\u3059\u308b<br \/>\n9.3.4 \u30d5\u30e9\u30f3\u30b9<br \/>\n9.3.4.1 \u7523\u696d\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\u3092\u52a0\u901f\u3055\u305b\u308b\u30c7\u30b8\u30bf\u30eb\u9769\u547d\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u3078\u306e\u6295\u8cc7\u304c\u5e02\u5834\u6210\u9577\u306b\u5bc4\u4e0e\u3059\u308b<br \/>\n9.3.5 \u305d\u306e\u4ed6\u306e\u30e8\u30fc\u30ed\u30c3\u30d1<br \/>\n9.4 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b<br \/>\n9.4.1 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\u306e\u5e02\u5834\u306b\u5bfe\u3059\u308b\u666f\u6c17\u5f8c\u9000\u306e\u5f71\u97ff<br \/>\n\u56f3 48 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u306e\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u56f349 2028\u5e74\u3001\u4e2d\u56fd\u304c\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3067\u6700\u5927\u306e\u30b7\u30a7\u30a2\u3092\u5360\u3081\u308b<br \/>\n\u8868142 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u56fd\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868143 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u56fd\u5225\u30012023\u5e74\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 144 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u60c5\u5831\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 145 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u60c5\u5831\u6280\u8853\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 146 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u5b9f\u73fe\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 147 \u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u5b9f\u73fe\u6280\u8853\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n9.4.2 \u4e2d\u56fd<br \/>\n9.4.2.1 \u5e02\u5834\u306e\u6210\u9577\u3092\u4fc3\u9032\u3059\u308b\u81ea\u52d5\u5316\u6280\u8853\u3092\u5229\u7528\u3057\u305f\u5de5\u696d\u5316\u3092\u4fc3\u9032\u3059\u308b\u653f\u5e9c\u306e\u53d6\u308a\u7d44\u307f<br \/>\n9.4.3 \u65e5\u672c<br \/>\n9.4.3.1 IT\u30d7\u30ed\u30b8\u30a7\u30af\u30c8\u306e\u5c0e\u5165\u3068\u30ed\u30dc\u30c3\u30c8\u5de5\u5b66\u306e\u9032\u6b69\u304c\u5e02\u5834\u3092\u727d\u5f15\u3059\u308b<br \/>\n9.4.4 \u30a4\u30f3\u30c9<br \/>\n9.4.4.1 \u5e02\u5834\u306e\u6210\u9577\u3092\u652f\u3048\u308b\u7523\u696d\u9769\u547d\u3092\u652f\u3048\u308b\u5148\u7aef\u6280\u8853\u306e\u5c55\u958b<br \/>\n9.4.5 \u305d\u306e\u4ed6\u306e\u30a2\u30b8\u30a2\u592a\u5e73\u6d0b\u5730\u57df<br \/>\n9.5 \u30ed\u30a6<br \/>\n9.5.1 \u30ea\u30bb\u30c3\u30b7\u30e7\u30f3\u304c\u5217\u56fd\u5e02\u5834\u306b\u4e0e\u3048\u308b\u5f71\u97ff<br \/>\n\u56f350 2023\u5e74\u304b\u30892028\u5e74\u306b\u304b\u3051\u3066\u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u5e02\u5834\u3067\u6700\u3082\u9ad8\u3044\u6210\u9577\u7387\u3092\u793a\u3059\u306e\u306f\u4e2d\u6771<br \/>\n\u8868148\u884c\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868149\u884c\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5730\u57df\u5225\u30012023\uff5e2028\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868150 \u884c\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u60c5\u5831\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 151 \u884c\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u60c5\u5831\u6280\u8853\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868152 \u884c\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u3001\u5b9f\u73fe\u6280\u8853\u5225\u30012019\u5e74\uff5e2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 153 \u884c\uff1a\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u5b9f\u73fe\u6280\u8853\u5225 2023-2028 \uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n9.5.2 \u5357\u7c73<br \/>\n9.5.2.1 \u7523\u696d\u90e8\u9580\u306b\u304a\u3051\u308b\u65b0\u8208\u6280\u8853\u306e\u63a1\u7528\u62e1\u5927\u304c\u5e02\u5834\u6210\u9577\u3092\u52a0\u901f\u3059\u308b<br \/>\n9.5.3 \u4e2d\u6771\u30fb\u30a2\u30d5\u30ea\u30ab<br \/>\n                    9.5.3.1 Rising implementation of automated solutions in oil &#038; gas and mining facilities to propel market<\/p>\n<p>10 COMPETITIVE LANDSCAPE (Page No. &#8211; 224)<br \/>\n     10.1 INTRODUCTION<br \/>\n             TABLE 154 KEY STRATEGIES ADOPTED BY PLAYERS IN SMART MANUFACTURING MARKET, 2021\u20132023<br \/>\n     10.2 MARKET SHARE ANALYSIS, 2022<br \/>\n              FIGURE 51 MARKET SHARE ANALYSIS OF KEY PLAYERS, 2022<br \/>\n             TABLE 155 INDUSTRIAL ROBOTICS MARKET: DEGREE OF COMPETITION<br \/>\n     10.3 REVENUE ANALYSIS OF KEY PLAYERS, 2018\u20132022<br \/>\n             FIGURE 52 FIVE-YEAR REVENUE ANALYSIS OF KEY PLAYERS IN INDUSTRIAL ROBOTICS MARKET<br \/>\n     10.4 EVALUATION MATRIX OF KEY COMPANIES, 2022<br \/>\n             10.4.1 STARS<br \/>\n             10.4.2 PERVASIVE PLAYERS<br \/>\n             10.4.3 EMERGING LEADERS<br \/>\n             10.4.4 PARTICIPANTS<br \/>\n     10.5 COMPETITIVE BENCHMARKING<br \/>\n             TABLE 156 OVERALL COMPANY FOOTPRINT<br \/>\n             TABLE 157 COMPANY FOOTPRINT, BY TYPE<br \/>\n             TABLE 158 COMPANY FOOTPRINT, BY END-USE INDUSTRY<br \/>\n             TABLE 159 COMPANY FOOTPRINT, BY REGION<br \/>\n             FIGURE 53 INDUSTRIAL ROBOTICS MARKET: EVALUATION MATRIX OF KEY COMPANIES, 2022<br \/>\n     10.6 EVALUATION MATRIX OF START-UPS\/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES), 2022<br \/>\n             10.6.1 PROGRESSIVE COMPANIES<br \/>\n             10.6.2 RESPONSIVE COMPANIES<br \/>\n             10.6.3 DYNAMIC COMPANIES<br \/>\n             10.6.4 STARTING BLOCKS<br \/>\n     10.7 COMPETITIVE BENCHMARKING<br \/>\n             TABLE 160 INDUSTRIAL ROBOTICS MARKET: KEY START-UPS\/SMES<br \/>\n             TABLE 161 INDUSTRIAL ROBOTICS MARKET: COMPETITIVE BENCHMARKING OF KEY START-UPS\/SMES<br \/>\n             FIGURE 54 INDUSTRIAL ROBOTICS MARKET: EVALUATION MATRIX OF START- UPS\/SMES, 2022<br \/>\n     10.8 COMPETITIVE SCENARIOS AND TRENDS<br \/>\n             10.8.1 RECENT DEVELOPMENTS<br \/>\n                        10.8.1.1 Product launches<br \/>\n                                     TABLE 162 SMART MANUFACTURING MARKET: PRODUCT LAUNCHES<br \/>\n                        10.8.1.2 Deals<br \/>\n                                     TABLE 163 SMART MANUFACTURING MARKET: DEALS<br \/>\n                        10.8.1.3 Others<br \/>\n                                     TABLE 164 SMART MANUFACTURING MARKET: OTHERS<\/p>\n<p>11 COMPANY PROFILES (Page No. &#8211; 250)<br \/>\n(Business Overview, Products\/Solutions\/Services Offered, Recent Developments, and MnM View (Key strengths\/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))*<br \/>\n     11.1 KEY PLAYERS<br \/>\n             11.1.1 3D SYSTEMS, INC.<br \/>\n                        TABLE 165 3D SYSTEMS, INC.: COMPANY OVERVIEW<br \/>\n                        FIGURE 55 3D SYSTEMS, INC.: COMPANY SNAPSHOT<br \/>\n                        TABLE 166 3D SYSTEMS, INC.: PRODUCTS\/SOLUTIONS\/SERVICES OFFERED<br \/>\n                        TABLE 167 3D SYSTEMS, INC.: DEALS<br \/>\n             11.1.2 ABB<br \/>\n                        TABLE 168 ABB: COMPANY OVERVIEW<br \/>\n                        FIGURE 56 ABB: COMPANY SNAPSHOT<br \/>\n                        TABLE 169 ABB: PRODUCTS\/SOLUTIONS\/SERVICES OFFERED<br \/>\n                        TABLE 170 ABB: DEALS<br \/>\n                        TABLE 171 ABB: PRODUCT LAUNCHES<br \/>\n             11.1.3 CISCO SYSTEMS, INC.<br \/>\n                        TABLE 172 CISCO SYSTEMS, INC.: COMPANY OVERVIEW<br \/>\n                        FIGURE 57 CISCO SYSTEMS, INC.: COMPANY SNAPSHOT<br \/>\n                        TABLE 173 CISCO SYSTEMS, INC.: PRODUCTS\/SOLUTIONS\/SERVICES OFFERED<br \/>\n                        TABLE 174 CISCO SYSTEMS, INC.: DEALS<br \/>\n             11.1.4 EMERSON ELECTRIC CO.<br \/>\n                        TABLE 175 EMERSON ELECTRIC CO.: COMPANY OVERVIEW<br \/>\n                        FIGURE 58 EMERSON ELECTRIC CO.: COMPANY SNAPSHOT<br \/>\n                        TABLE 176 EMERSON ELECTRIC CO.: PRODUCTS\/SOLUTIONS\/SERVICES OFFERED<br \/>\n                        TABLE 177 EMERSON ELECTRIC CO.: DEALS<br \/>\n             11.1.5 GENERAL ELECTRIC<br \/>\n                        TABLE 178 GENERAL ELECTRIC: COMPANY OVERVIEW<br \/>\n                        FIGURE 59 GENERAL ELECTRIC: COMPANY SNAPSHOT<br \/>\n                        TABLE 179 GENERAL ELECTRIC: PRODUCTS\/SOLUTIONS\/SERVICES OFFERED<br \/>\n                        TABLE 180 GENERAL ELECTRIC: PRODUCT LAUNCHES<br \/>\n             11.1.6 HONEYWELL INTERNATIONAL INC.<br \/>\n                        TABLE 181 HONEYWELL INTERNATIONAL INC.: COMPANY OVERVIEW<br \/>\n                        FIGURE 60 HONEYWELL INTERNATIONAL INC.: COMPANY SNAPSHOT<br \/>\n                        TABLE 182 HONEYWELL INTERNATIONAL INC.: PRODUCTS\/SOLUTIONS\/SERVICES OFFERED<br \/>\n                        TABLE 183 HONEYWELL INTERNATIONAL INC.: PRODUCT LAUNCHES<br \/>\n                        TABLE 184 HONEYWELL INTERNATIONAL INC.: DEALS<br \/>\n\u8868185 \u30cf\u30cd\u30a6\u30a7\u30eb\u30fb\u30a4\u30f3\u30bf\u30fc\u30ca\u30b7\u30e7\u30ca\u30eb\uff1a\u305d\u306e\u4ed6<br \/>\n11.1.7 IBM<br \/>\n\u8868186 IBM\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f3 61 IBM\uff1a\u4f01\u696d\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u8868187 ibm\uff1a\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\uff0f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\uff0f\u30b5\u30fc\u30d3\u30b9<br \/>\n\u8868 188: \u88fd\u54c1\u767a\u8868<br \/>\n\u8868 189 IBM: \u53d6\u5f15<br \/>\n11.1.8 \u4e09\u83f1\u96fb\u6a5f<br \/>\n\u8868190 \u4e09\u83f1\u96fb\u6a5f\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f362 \u4e09\u83f1\u96fb\u6a5f\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u8868 191 \u4e09\u83f1\u96fb\u6a5f\uff1a\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\uff0f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\uff0f\u30b5\u30fc\u30d3\u30b9<br \/>\n\u8868192 \u4e09\u83f1\u96fb\u6a5f\uff1a\u88fd\u54c1\u767a\u8868<br \/>\n\u8868 193 \u4e09\u83f1\u96fb\u6a5f\uff1a\u53d6\u5f15\u5b9f\u7e3e<br \/>\n\u8868 194 \u4e09\u83f1\u96fb\u6a5f\uff1a\u305d\u306e\u4ed6<br \/>\n11.1.9 \u30ed\u30c3\u30af\u30a6\u30a7\u30eb\u30fb\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3<br \/>\n\u8868 195 \u30ed\u30c3\u30af\u30a6\u30a7\u30eb\u30fb\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f3 63 \u30ed\u30c3\u30af\u30a6\u30a7\u30eb\u30fb\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\uff1a\u4f01\u696d\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u8868 196 \u30ed\u30c3\u30af\u30a6\u30a7\u30eb\u30fb\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\uff1a\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\uff0f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\uff0f\u30b5\u30fc\u30d3\u30b9<br \/>\n\u8868 197 \u30ed\u30c3\u30af\u30a6\u30a7\u30eb\u30fb\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\uff1a\u88fd\u54c1\u767a\u8868<br \/>\n\u8868 198 \u30ed\u30c3\u30af\u30a6\u30a7\u30eb\u30fb\u30aa\u30fc\u30c8\u30e1\u30fc\u30b7\u30e7\u30f3\uff1a\u53d6\u5f15<br \/>\n11.1.10 \u30b7\u30e5\u30ca\u30a4\u30c0\u30fc\u30a8\u30ec\u30af\u30c8\u30ea\u30c3\u30af<br \/>\n\u8868 199 \u30b7\u30e5\u30ca\u30a4\u30c0\u30fc\u30a8\u30ec\u30af\u30c8\u30ea\u30c3\u30af\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f364 \u30b7\u30e5\u30ca\u30a4\u30c0\u30fc\u30a8\u30ec\u30af\u30c8\u30ea\u30c3\u30af\uff1a\u4f01\u696d\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u8868 200 \u30b7\u30e5\u30ca\u30a4\u30c0\u30fc\u30a8\u30ec\u30af\u30c8\u30ea\u30c3\u30af\uff1a\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\uff0f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\uff0f\u30b5\u30fc\u30d3\u30b9<br \/>\n\u8868 201 \u30b7\u30e5\u30ca\u30a4\u30c0\u30fc\u30a8\u30ec\u30af\u30c8\u30ea\u30c3\u30af\uff1a\u88fd\u54c1\u767a\u8868<br \/>\n\u8868 202 \u30b7\u30e5\u30ca\u30a4\u30c0\u30fc\u30a8\u30ec\u30af\u30c8\u30ea\u30c3\u30af\uff1a\u53d6\u5f15\u5b9f\u7e3e<br \/>\n11.1.11 \u30b7\u30fc\u30e1\u30f3\u30b9<br \/>\n\u8868 203 \u30b7\u30fc\u30e1\u30f3\u30b9\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f3 65 \u30b7\u30fc\u30e1\u30f3\u30b9\uff1a\u4f01\u696d\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u8868 204 \u30b7\u30fc\u30e1\u30f3\u30b9\uff1a\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\uff0f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\uff0f\u30b5\u30fc\u30d3\u30b9<br \/>\n\u8868 205 \u30b7\u30fc\u30e1\u30f3\u30b9\uff1a\u88fd\u54c1\u767a\u8868<br \/>\n\u8868 206 \u30b7\u30fc\u30e1\u30f3\u30b9\uff1a\u53d6\u5f15<br \/>\n\u8868 207 \u30b7\u30fc\u30e1\u30f3\u30b9\uff1a\u305d\u306e\u4ed6<br \/>\n11.1.12 \u30aa\u30e9\u30af\u30eb<br \/>\n\u8868 208 \u30aa\u30e9\u30af\u30eb\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f366 \u30aa\u30e9\u30af\u30eb\uff1a\u4f01\u696d\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u8868 209 \u30aa\u30e9\u30af\u30eb: \u63d0\u4f9b\u3059\u308b\u88fd\u54c1\/\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\/\u30b5\u30fc\u30d3\u30b9<br \/>\n\u8868 210 \u30aa\u30e9\u30af\u30eb\uff1a\u88fd\u54c1\u306e\u767a\u58f2<br \/>\n11.1.13 SAP<br \/>\n\u8868 211 \u30b5\u30c3\u30d7\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f3 67 \u30b5\u30c3\u30d7\uff1a\u4f01\u696d\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u8868 212 \u30b5\u30c3\u30d7\uff1a\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\uff0f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\uff0f\u30b5\u30fc\u30d3\u30b9<br \/>\n\u8868 213 \u30b5\u30c3\u30d7\uff1a\u53d6\u5f15<br \/>\n\u8868 214 \u30b5\u30c3\u30d7\uff1a\u305d\u306e\u4ed6<br \/>\n11.1.14 \u30b9\u30c8\u30e9\u30bf\u30b7\u30b9<br \/>\n215 \u30b9\u30c8\u30e9\u30bf\u30b7\u30b9\uff1a\u4f1a\u793e\u6982\u8981<br \/>\n\u56f3 68 \u30b9\u30c8\u30e9\u30bf\u30b7\u30b9\uff1a\u4f01\u696d\u30b9\u30ca\u30c3\u30d7\u30b7\u30e7\u30c3\u30c8<br \/>\n\u8868 216 \u30b9\u30c8\u30e9\u30bf\u30b7\u30b9\uff1a\u63d0\u4f9b\u3059\u308b\u88fd\u54c1\uff0f\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\uff0f\u30b5\u30fc\u30d3\u30b9<br \/>\n                        TABLE 217 STRATASYS: PRODUCT LAUNCHES<br \/>\n                        TABLE 218 STRATASYS: DEALS<br \/>\n                        TABLE 219 STRATASYS: OTHERS<br \/>\n             11.1.15 YOKOGAWA ELECTRIC CORPORATION<br \/>\n                        TABLE 220 YOKOGAWA ELECTRIC CORPORATION: COMPANY OVERVIEW<br \/>\n                        FIGURE 69 YOKOGAWA ELECTRIC CORPORATION: COMPANY SNAPSHOT<br \/>\n                        TABLE 221 YOKOGAWA ELECTRIC CORPORATION: PRODUCTS\/SOLUTIONS\/SERVICES OFFERED<br \/>\n                        TABLE 222 YOKOGAWA ELECTRIC CORPORATION: DEALS<br \/>\n                        TABLE 223 YOKOGAWA ELECTRIC CORPORATION: OTHERS<br \/>\n     11.2 OTHER KEY PLAYERS<br \/>\n             11.2.1 COGNEX CORPORATION<br \/>\n             11.2.2 GOOGLE<br \/>\n             11.2.3 INTEL CORPORATION<br \/>\n             11.2.4 KEYENCE CORPORATION<br \/>\n             11.2.5 NVIDIA CORPORATION<br \/>\n             11.2.6 PTC<br \/>\n             11.2.7 SAMSUNG<br \/>\n             11.2.8 SONY<br \/>\n             11.2.9 UNIVERSAL ROBOTS A\/S<br \/>\n             11.2.10 OMRON CORPORATION<br \/>\n*Details on Business Overview, Products\/Solutions\/Services Offered, Recent Developments, and MnM View (Key strengths\/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.  <\/p>\n<p>12 ADJACENT &#038; RELATED MARKETS (Page No. &#8211; 322)<br \/>\n     12.1 INTRODUCTION<br \/>\n     12.2 LIMITATION<br \/>\n     12.3 REAL-TIME LOCATION SYSTEMS MARKET, BY OFFERING<br \/>\n             FIGURE 70 RTLS MARKET, BY OFFERING<br \/>\n             TABLE 224 RTLS MARKET, BY OFFERING, 2019\u20132022 (USD MILLION)<br \/>\n             TABLE 225 RTLS MARKET, BY OFFERING, 2023\u20132028 (USD MILLION)<br \/>\n     12.4 HARDWARE<br \/>\n             12.4.1 INCREASING DEMAND FOR HYBRID RTLS SOLUTIONS TO DRIVE SEGMENTAL GROWTH<br \/>\n                        TABLE 226 HARDWARE: RTLS MARKET, BY TYPE, 2019\u20132022 (USD MILLION)<br \/>\n                        TABLE 227 HARDWARE: RTLS MARKET, BY TYPE, 2023\u20132028 (USD MILLION)<br \/>\n\u8868 228 \u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\uff1aRTLS\u5e02\u5834\u3001\u6280\u8853\u5225\u30012019-2022\u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 229 \u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\uff1aRTLS \u5e02\u5834\uff1a\u6280\u8853\u5225 2023-2028 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n12.4.2 \u30bf\u30b0\/\u30d0\u30c3\u30b8<br \/>\n12.4.2.1 \u30ea\u30a2\u30eb\u30bf\u30a4\u30e0\u3067\u8cc7\u7523\u3092\u8ffd\u8de1\u3059\u308b\u305f\u3081\u306eRTLS\u30bf\u30b0\u306e\u5229\u7528\u304c\u5897\u52a0\u3057\u3001\u30bb\u30b0\u30e1\u30f3\u30c8\u306e\u6210\u9577\u3092\u62bc\u3057\u4e0a\u3052\u308b<br \/>\n12.4.3 \u30ea\u30fc\u30c0\u30fc\uff0f\u30c8\u30e9\u30c3\u30ab\u30fc\uff0f\u30a2\u30af\u30bb\u30b9\u30dd\u30a4\u30f3\u30c8<br \/>\n12.4.3.1 \u30c8\u30e9\u30f3\u30b9\u30dd\u30f3\u30c0\u304b\u3089\u306e\u4fe1\u53f7\u3092\u9001\u53d7\u4fe1\u3059\u308b\u305f\u3081\u306e\u30ea\u30fc\u30c0\u306e\u666e\u53ca\u304c\u5e02\u5834\u3092\u727d\u5f15<br \/>\n12.4.4 \u305d\u306e\u4ed6\u306e\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u88fd\u54c1<br \/>\n12.5 \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2<br \/>\n12.5.1 \u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3055\u308c\u305fRTLS\u3078\u306e\u9700\u8981\u306e\u9ad8\u307e\u308a\u304c\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u30fb\u30bd\u30ea\u30e5\u30fc\u30b7\u30e7\u30f3\u306e\u5229\u7528\u3092\u4fc3\u9032\u3057\u3001\u30bb\u30b0\u30e1\u30f3\u30c8\u6210\u9577\u306b\u5bc4\u4e0e\u3059\u308b<br \/>\n\u8868 230 \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\uff1aRTLS \u5e02\u5834\u3001\u6280\u8853\u5225\u30012019 \u5e74\uff5e2022 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 231 \u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\uff1aRTLS \u5e02\u5834\u3001\u6280\u8853\u5225\u30012023 \u5e74\uff5e2028 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n12.6 \u30b5\u30fc\u30d3\u30b9<br \/>\n12.6.1 \u696d\u52d9\u52b9\u7387\u3001\u5b89\u5168\u6027\u3001\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u306e\u5411\u4e0a\u306b\u5411\u3051\u305f\u5404\u696d\u754c\u306e\u50be\u5411\u306b\u3088\u308a\u3001RTLS\u30b5\u30fc\u30d3\u30b9\u306e\u9700\u8981\u304c\u5897\u52a0<br \/>\n\u8868 232 \u30b5\u30fc\u30d3\u30b9\uff1aRTLS \u5e02\u5834\u3001\u30bf\u30a4\u30d7\u5225\u30012019 \u5e74\uff5e2022 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 233 \u30b5\u30fc\u30d3\u30b9\uff1aRTLS \u5e02\u5834\u3001\u30bf\u30a4\u30d7\u5225\u30012023 \u5e74\uff5e2028 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 234 \u30b5\u30fc\u30d3\u30b9\uff1aRTLS \u5e02\u5834\u3001\u6280\u8853\u5225\u30012019 \u5e74\uff5e2022 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n\u8868 235 \u30b5\u30fc\u30d3\u30b9\uff1aRTLS \u5e02\u5834\u3001\u6280\u8853\u5225\u30012023 \u5e74\uff5e2028 \u5e74\uff08\u767e\u4e07\u7c73\u30c9\u30eb\uff09<br \/>\n12.6.2 \u5c55\u958b\u3068\u7d71\u5408<br \/>\n12.6.2.1 \u30ab\u30b9\u30bf\u30de\u30a4\u30ba\u3055\u308c\u305f\u7279\u5b9a\u7528\u9014\u5411\u3051RTLS\u306e\u5229\u7528\u304c\u5897\u52a0\u3057\u3001\u914d\u5099\u30fb\u7d71\u5408\u30b5\u30fc\u30d3\u30b9\u306e\u9700\u8981\u304c\u9ad8\u307e\u308b<br \/>\n12.6.3 \u30b5\u30dd\u30fc\u30c8\uff06\u30e1\u30f3\u30c6\u30ca\u30f3\u30b9<br \/>\n12.6.3.1 \u30b5\u30dd\u30fc\u30c8\uff06\u30e1\u30f3\u30c6\u30ca\u30f3\u30b9\u30fb\u30b5\u30fc\u30d3\u30b9\u3078\u306e\u9700\u8981\u3092\u559a\u8d77\u3059\u308b\u305f\u3081\u306e\u4e2d\u65ad\u306e\u306a\u3044\u64cd\u696d\u3078\u306e\u8981\u6c42<br \/>\n12.6.4 \u30b3\u30f3\u30b5\u30eb\u30c6\u30a3\u30f3\u30b0<br \/>\n12.6.4.1 \u30ef\u30fc\u30af\u30d5\u30ed\u30fc\u306e\u52b9\u7387\u5316\u306b\u6ce8\u529b\u3059\u308b\u4f01\u696d\u304c\u30b3\u30f3\u30b5\u30eb\u30c6\u30a3\u30f3\u30b0\u30fb\u30b5\u30fc\u30d3\u30b9\u306e\u9700\u8981\u3092\u4fc3\u9032\u3059\u308b<\/p>\n<p>13 \u4ed8\u9332\uff08\u30da\u30fc\u30b8\u756a\u53f7 &#8211; 333\uff09<br \/>\n13.1 \u696d\u754c\u306e\u5c02\u9580\u5bb6\u306b\u3088\u308b\u6d1e\u5bdf<br \/>\n13.2 \u30c7\u30a3\u30b9\u30ab\u30c3\u30b7\u30e7\u30f3\u30fb\u30ac\u30a4\u30c9<br \/>\n13.3 knowledgestore: \u30de\u30fc\u30b1\u30c3\u30c4\u306e\u8cfc\u8aad\u30dd\u30fc\u30bf\u30eb<br \/>\n13.4 \u5229\u7528\u53ef\u80fd\u306a\u30ab\u30b9\u30bf\u30de\u30a4\u30ba<br \/>\n13.5 \u95a2\u9023\u30ec\u30dd\u30fc\u30c8<br \/>\n13.6 \u8457\u8005\u8a73\u7d30<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u4e16\u754c\u306e\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\u306f\u30012023\u5e74\u306e1,089\u5104\u7c73\u30c9\u30eb\u304b\u30892028\u5e74\u306b\u306f2,410\u5104\u7c73\u30c9\u30eb\u306b\u6210\u9577\u3057\u3001\u5e74\u5e73\u5747\u6210\u9577\u7387\u306f17.2\uff05\u3092\u8a18\u9332\u3059\u308b\u3068\u4e88\u6e2c\u3055\u308c\u3066\u3044\u308b\u3002\u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u306f\u3001\u91cd\u8981\u306a\u8981\u56e0\u306b\u3088\u3063\u3066\u63a8\u3057\u9032\u3081\u3089\u308c\u3066\u3044\u308b\u3002IoT\u3001AI\u3001\u81ea\u52d5\u5316\u306a\u3069\u306e\u65b0\u6280\u8853\u304c\u3001\u30e2\u30ce\u306e\u4f5c\u308a\u65b9\u3092\u5909\u3048\u3064\u3064\u3042\u308b\u3002\u3053\u308c\u306f\u7269\u4e8b\u3092\u3088\u308a\u52b9\u7387\u7684\u306b\u3057\u3001\u4fee\u7406\u304c\u5fc5\u8981\u306a\u6642\u671f\u306e\u4e88\u6e2c\u306b\u5f79\u7acb\u3061\u3001\u30c7\u30fc\u30bf\u304b\u3089\u6709\u76ca\u306a\u60c5\u5831\u3092\u63d0\u4f9b\u3057\u3001\u7269\u4e8b\u3092\u904b\u55b6\u3059\u308b\u30b3\u30b9\u30c8\u3092\u524a\u6e1b\u3059\u308b\u3002\u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u304c\u597d\u307e\u308c\u3066\u3044\u308b\u306e\u306f\u3001\u7269\u4e8b\u304c\u8d77\u3053\u308b\u306e\u3092\u898b\u5b88\u308a\u3001\u4f5c\u696d\u3092\u5186\u6ed1\u306b\u3057\u3001\u30b9\u30de\u30fc\u30c8\u306a\u610f\u601d\u6c7a\u5b9a\u3092\u652f\u63f4\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u308b\u304b\u3089\u3060\u3002<\/p>\n<p>\u5e02\u5834\u30c0\u30a4\u30ca\u30df\u30af\u30b9<br 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\/>\n\u30b9\u30de\u30fc\u30c8\u30fb\u30de\u30cb\u30e5\u30d5\u30a1\u30af\u30c1\u30e3\u30ea\u30f3\u30b0\u4f01\u696d\u306e\u30d7\u30ec\u30fc\u30e4\u30fc\u306f\u3001\u5e02\u5834\u3067\u306e\u63d0\u4f9b\u3092\u5f37\u5316\u3059\u308b\u305f\u3081\u306b\u3001\u88fd\u54c1\u767a\u8868\u3001\u30d1\u30fc\u30c8\u30ca\u30fc\u30b7\u30c3\u30d7\u3001\u8cb7\u53ce\u3001\u63d0\u643a\u306a\u3069\u3001\u3055\u307e\u3056\u307e\u306a\u6709\u6a5f\u7684\u30fb\u7121\u6a5f\u7684\u6210\u9577\u6226\u7565\u3092\u5b9f\u65bd\u3057\u3066\u3044\u308b\u3002\u5e02\u5834\u306e\u4e3b\u8981\u30d7\u30ec\u30fc\u30e4\u30fc\u306f\u30013D System, Inc.\uff08\u7c73\u56fd\uff09\u3001ABB\uff08\u30b9\u30a4\u30b9\uff09\u3001Cisco System, Inc.\uff08\u7c73\u56fd\uff09\u3001Emerson Electric Co.\uff08\u7c73\u56fd\uff09\u3001General Electric\uff08\u7c73\u56fd\uff09\u3001Honeywell International Inc.\uff08\u7c73\u56fd\uff09\u3001IBM\uff08\u7c73\u56fd\uff09\u3001\u4e09\u83f1\u96fb\u6a5f\uff08\u65e5\u672c\uff09\u3001Rockwell Automation\uff08\u7c73\u56fd\uff09\u3001Schneider 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\/>\n2023\u5e744\u6708\u3001\u30b7\u30fc\u30e1\u30f3\u30b9\u30fb\u30c7\u30b8\u30bf\u30eb\u30fb\u30a4\u30f3\u30c0\u30b9\u30c8\u30ea\u30fc\u30ba\u793e\u306f\u3001\u5de5\u696d\u751f\u7523\u306e\u81ea\u52d5\u5316\u3068\u7ba1\u7406\u3092\u76ee\u7684\u3068\u3057\u305f\u30aa\u30fc\u30d7\u30f3\u3067\u76f8\u4e92\u904b\u7528\u53ef\u80fd\u306a\u30dd\u30fc\u30c8\u30d5\u30a9\u30ea\u30aa\u300cIndustrial Operations X\u300d\u3092\u767a\u8868\u3057\u305f\u3002\u3053\u308c\u306f\u3001\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3001\u30b3\u30cd\u30af\u30c6\u30c3\u30c9\u30cf\u30fc\u30c9\u30a6\u30a7\u30a2\u3001\u30d1\u30fc\u30c8\u30ca\u30fc\u30a8\u30b3\u30b7\u30b9\u30c6\u30e0\u3001\u30de\u30fc\u30b1\u30c3\u30c8\u30d7\u30ec\u30a4\u30b9\u3092\u5099\u3048\u305f\u30aa\u30fc\u30d7\u30f3\u30c7\u30b8\u30bf\u30eb\u30d3\u30b8\u30cd\u30b9\u30d7\u30e9\u30c3\u30c8\u30d5\u30a9\u30fc\u30e0\u3067\u3042\u308bSiemens Xcelerator\u306e\u4e00\u90e8\u3067\u3042\u308b\u3002<br \/>\n2023\u5e744\u6708\u3001\u30dd\u30ea\u30de\u30fc3D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u306e\u30ea\u30fc\u30c7\u30a3\u30f3\u30b0\u30fb\u30ab\u30f3\u30d1\u30cb\u30fc\u3067\u3042\u308b\u30b9\u30c8\u30e9\u30bf\u30b7\u30b9\u306f\u3001\u6700\u8fd1\u30b9\u30c8\u30e9\u30bf\u30b7\u30b9\u304c\u8cb7\u53ce\u3057\u305fRiven\u793e\u306e\u54c1\u8cea\u4fdd\u8a3c\u6a5f\u80fd\u3092\u7d71\u5408\u3057\u305f\u6700\u65b0\u88fd\u54c1GrabCAD Print Pro\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u3092\u767a\u8868\u3057\u305f\u3002\u3053\u306e\u5148\u9032\u7684\u306a\u30bd\u30d5\u30c8\u30a6\u30a7\u30a2\u306f\u3001Stratasys 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content=\"\u30b9\u30de\u30fc\u30c8\u88fd\u9020\u5e02\u5834\uff1a\u6280\u8853\u5225\uff083D\u30d7\u30ea\u30f3\u30c6\u30a3\u30f3\u30b0\u3001Al in Manufacturing\u3001\u7121\u4eba\u642c\u9001\u8eca\u3001\u72b6\u614b\u76e3\u8996\u3001\u30b5\u30a4\u30d0\u30fc\u30bb\u30ad\u30e5\u30ea\u30c6\u30a3\u3001\u30c7\u30b8\u30bf\u30eb\u30c4\u30a4\u30f3\u3001HMI\u3001\u30de\u30b7\u30f3\u30d3\u30b8\u30e7\u30f3\u3001MES\u3001PAM\u3001\u30ed\u30dc\u30c3\u30c8\u3001\u30bb\u30f3\u30b5\u30fc\uff09\u3001\u7523\u696d\u5225\u3001\u5730\u57df\u5225 - 2028\u5e74\u307e\u3067\u306e\u4e16\u754c\u4e88\u6e2c\" \/>\n<meta property=\"og:description\" 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