人工知能(チップセット)の世界市場予測(〜2026):技術別(機械学習、自然言語処理、コンテキストアウェアコンピューティング、コンピュータービジョン)、ハードウェア別(プロセッサー、メモリ、ネットワーク)、エンドユース産業別、地域別

【英語タイトル】Artificial Intelligence (Chipsets) Market by Technology (Machine learning, Natural Language Processing, Context Aware Computing, Computer Vision), Hardware (Processor, Memory, Network), End-User Industry, and region - Global Forecast to 2026

MarketsandMarketsが出版した調査資料(SE 5997)・商品コード:SE 5997
・発行会社(調査会社):MarketsandMarkets
・発行日:2020年9月15日
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・レポート言語:英語
・レポート形式:PDF
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Marketsandmarkets社は人工知能(チップセット)の世界市場が2020年76億ドルから2026年578億ドルまで、年平均40.1%成長すると予測しています。本調査レポートでは、人工知能(チップセット)の世界市場を広く調査・分析し、イントロダクション、調査手法、エグゼクティブサマリー、プレミアムインサイト、市場概要、ハードウェア別(プロセッサー、メモリ、ネットワーク)分析、技術別(機械学習、自然言語処理、コンテキストアウェアコンピューティング、コンピュータビジョン、予測分析)分析、機能別(トレーニング、推論)分析、エンドユース産業別(医療、製造、自動車、農業、小売り)分析、地域別分析、競争状況、企業情報などをまとめております。
・イントロダクション
・調査手法
・エグゼクティブサマリー
・プレミアムインサイト
・市場概要
・人工知能(チップセット)の世界市場規模:ハードウェア別(プロセッサー、メモリ、ネットワーク)
・人工知能(チップセット)の世界市場規模:技術別(機械学習、自然言語処理、コンテキストアウェアコンピューティング、コンピュータビジョン、予測分析)
・人工知能(チップセット)の世界市場規模:機能別(トレーニング、推論)
・人工知能(チップセット)の世界市場規模:エンドユース産業別(医療、製造、自動車、農業、小売り)
・人工知能(チップセット)の世界市場規模:地域別
・競争状況
・企業情報
【レポートの概要】

“The AI (chipsets) market is projected to grow at a CAGR of 40.1% from 2020 to 2026.”
The global AI (chipsets) market size is expected to be valued at USD 7.6 billion in 2020 and is likely to reach USD 57.8 billion by 2026, at a CAGR of 40.1% during the forecast period. Major drivers for the market are increasingly large and complex datasets driving the need for AI, the adoption of AI for improving consumer services & reducing operational costs, the growing number of AI applications, the improving computing power, and growing adoption of deep learning and neural networks.
The major restraint for the market is the lack of a skilled workforce. Critical challenges facing the AI (chipsets) market include low return on investment, creating models & mechanisms for AI, and the availability of limited structured training data. Underlying opportunities in the AI (chipsets) market include increasing focus on developing human-aware AI systems and bringing AI to edge devices.

“The machine learning technology is expected to account for the largest size of the AI (chipsets) market during the forecast period.”
Machine learning’s ability to collect & handle big data & its applications in real-time speech translation, autonomous robots, and facial analysis are fuelling its growth. AI constitutes various technologies that play a vital role in developing its ecosystem. As AI enables machines to perform activities similar to those performed by human beings, enormous market opportunities have opened up.

“The predictive maintenance and machinery inspection application in the manufacturing industry of the AI (chipsets) market is projected to hold the largest share during the forecast period.”
The predictive maintenance and machinery inspection application held the largest share among the manufacturing applications of the AI (chipsets) market in 2019. Extensive use of computer vision cameras in machinery inspection, adoption of the Industrial Internet of Things (IIoT), and use of big data in the manufacturing industry are the factors driving the growth of the predictive maintenance and machinery inspection application. The increasing demand for reducing the operational costs and machine downtime is also supplementing the growth of predictive maintenance and machinery inspection application in industries.

The cybersecurity industry held the largest size of the AI (chipsets) market in 2019.
AI is significantly used in antivirus and antimalware solutions owing to the rise in cybersecurity attacks across the world. Increasing use of mobile devices for a wide range of applications, such as social networking, e-mails, remote monitoring, phone banking, and data storage, opens doors for hackers to attack, thereby making networks more vulnerable to risks. The rapid adoption of cloud-based services, along with the user-friendly approach of antivirus/antimalware solutions, is contributing to the growth of this end-user industry of the AI (chipsets) market.

Impact of COVID-19 on the AI (chipsets) market
The market is likely to witness a slight plunge in terms of year-on-year growth in 2020. This is largely attributed to the affected supply chains and limited adoption of AI in various end-user industries in 2020 due to the lockdowns and shifting priorities of different industries. The ongoing COVID-19 pandemic has caused disruptions in economies. It is likely to cause supply chain mayhem and eventually force companies and entire industries to rethink and adapt to the global supply chain model. Many manufacturing companies have halted their production, which has collaterally damaged the supply chain and the industry. This disruption has caused a delay in the adoption of AI-based software and hardware products. The industries have started to restructure their business model for 2020, and many SMEs and large manufacturing plants have halted/postponed any new technology upgrade in their factories to recover from the losses caused by the lockdown and economic slowdown. COVID-19 has impacted the educational industries rather positively, with ed-tech companies adopting AI technology to impart education during the lockdown. Ed-tech firms have deployed AI tools to enhance online learning and virtual classroom experience for students.
Several industries are worse hit by this pandemic, but some industries are profiting from this pandemic. However, the adoption of AI is expected to grow. Therefore, we can say the COVID-19 will drive the AI (chipsets) market for certain industries

Breakdown of profiles of primary participants:
• By Company Type: Tier 1 – 45%, Tier 2 – 30%, and Tier 3 – 25%
• By Designation: C-level Executives – 55%, Directors – 30%, and Others – 15%
• By Region: North America – 45%, Europe – 25%, Asia Pacific (APAC)– 20%, and the Rest of the World (RoW) – 10%

Some of the major players in the AI (chipsets) market are NVIDIA Corporation (NVIDIA) (US), Intel Corporation (Intel) (US), Xilinx, Inc. (Xilinx) (US), Samsung Electronics Co., Ltd. (Samsung) (South Korea), Micron Technology, Inc. (Micron) (US), Qualcomm Technologies, Inc. (US), International Business Machines Corporation (IBM) (US), Google Inc. (Google) (US), Microsoft Corporation (Microsoft) (US), Amazon Web Services (an Amazon.com, Inc. subsidiary) (AWS) (US), Advanced Micro Devices, Inc. (AMD) (US), General Vision, Inc. (US), and Huawei Technologies Co., Ltd. (Huawei) (China).

Research Coverage:
The AI (chipsets) market has been segmented based on hardware, technology, function, end-user industry, and region. It also provides a detailed view of the market across four main regions: North America, Europe, APAC, and RoW.

Reasons to Buy the Report:
• This report includes statistics pertaining to the AI (chipsets) market based on hardware, technology, function, end-user industry, and region.
• This report includes detailed information on major drivers, restraints, opportunities, and challenges pertaining to the AI (chipsets) market.
• The report includes illustrative segmentation, analysis, and forecast for the AI (chipsets) market based on its segments and subsegments.
• This report includes the impact of COVID-19 pandemic on the overall AI (chipsets) market.

【レポートの目次】

1 INTRODUCTION 35
1.1 OBJECTIVES OF THE STUDY 35
1.2 DEFINITION 35
1.3 STUDY SCOPE 36
1.3.1 MARKET COVERED 36
1.3.2 YEARS CONSIDERED FOR THE STUDY 37
1.4 CURRENCY 37
1.5 STAKEHOLDERS 37
2 RESEARCH METHODOLOGY 38
2.1 RESEARCH DATA 38
FIGURE 1 RESEARCH DESIGN 38
2.1.1 SECONDARY AND PRIMARY RESEARCH 40
2.1.2 SECONDARY DATA 40
2.1.2.1 Major secondary sources 40
2.1.2.2 Secondary sources 41
2.1.3 PRIMARY DATA 42
2.1.3.1 Primary interviews with experts 42
2.1.3.2 Primary sources 42
2.1.3.3 Breakdown of primaries 43
2.1.3.4 Key industry insights 43
2.2 MARKET SIZE ESTIMATION 43
2.2.1 BOTTOM-UP APPROACH 44
2.2.1.1 Approach for capturing market share by bottom-up analysis
(demand side) 44
FIGURE 2 BOTTOM-UP APPROACH 44
2.2.2 TOP-DOWN APPROACH 45
2.2.2.1 Approach for capturing market share by top-down analysis
(supply side) 45
FIGURE 3 TOP-DOWN APPROACH 45
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 46
FIGURE 4 DATA TRIANGULATION 46
2.4 ASSUMPTIONS 47
3 EXECUTIVE SUMMARY 48
FIGURE 5 AI (CHIPSETS) MARKET, BY HARDWARE, 2020 VS. 2026 (USD MILLION) 49
FIGURE 6 AI (CHIPSETS) MARKET, BY PROCESSOR, 2020 VS. 2026 (USD MILLION) 49
FIGURE 7 AI (CHIPSETS) MARKET, BY TECHNOLOGY, 2017-2026 (USD MILLION) 50
FIGURE 8 AI (CHIPSETS) MARKET, BY END-USER INDUSTRY, 2020 VS. 2026 (%) 51
FIGURE 9 AI (CHIPSETS) MARKET, BY REGION, 2019 52
3.1 COVID-19 IMPACT ANALYSIS 53
FIGURE 10 PRE- AND POST-COVID-19 SCENARIO ANALYSIS FOR AI (CHIPSETS) MARKET 53
3.1.1 PRE-COVID-19 SCENARIO 53
3.1.2 POST-COVID-19 SCENARIO 53
4 PREMIUM INSIGHTS 54
4.1 OVERVIEW OF THE AI (CHIPSETS) MARKET 54
FIGURE 11 IMPROVING COMPUTING EFFICIENCY OF AI CHIPSETS IS EXPECTED TO DRIVE THE MARKET BETWEEN 2020 AND 2026 54
4.2 AI (CHIPSETS) MARKET, BY HARDWARE 54
FIGURE 12 PROCESSOR TO HOLD THE LARGEST SHARE OF THE AI (CHIPSETS) MARKET DURING THE FORECAST PERIOD 54
4.3 MACHINE LEARNING AI (CHIPSETS) MARKET, BY SUBTYPE 55
FIGURE 13 AI (CHIPSETS) MARKET FOR SUPERVISED LEARNING TO HOLD THE LARGEST SIZE BETWEEN 2020 AND 2026 55
4.4 ASIA PACIFIC: AI (CHIPSETS) MARKET, BY END-USER INDUSTRY AND COUNTRY 55
FIGURE 14 CHINA EXPECTED TO HOLD THE LARGEST SHARE OF THE APAC AI (CHIPSETS) MARKET IN 2018 55
4.5 AI (CHIPSETS) MARKET, BY COUNTRY 56
FIGURE 15 US TO HOLD THE LARGEST SHARE OF THE AI (CHIPSETS) MARKET IN 2019 56
5 MARKET OVERVIEW 57
5.1 INTRODUCTION 57
5.2 MARKET DYNAMICS 57
FIGURE 16 GROWING NUMBER OF APPLICATIONS OF AI TECHNOLOGIES IN VARIOUS INDUSTRY VERTICALS ARE DRIVING MARKET GROWTH 58
5.2.1 DRIVERS 59
5.2.1.1 Increasingly large and complex dataset driving the need for AI 59
TABLE 1 AVERAGE NUMBER OF CONNECTED DEVICES PER CAPITA 60
FIGURE 17 IP TRAFFIC GROWTH PROJECTIONS UNTIL 2021 61
5.2.1.2 Adoption of AI for improving consumer services and reducing operational cost 61
5.2.1.3 Growing number of AI applications 62
5.2.1.4 Improving computing power 63
5.2.1.5 Growing adoption of deep learning and neural networks 63
5.2.2 RESTRAINTS 64
5.2.2.1 Lack of skilled AI workforce 64
5.2.3 OPPORTUNITIES 64
5.2.3.1 Increasing focus on developing human-aware AI systems 64
5.2.3.2 Bringing AI to edge devices 65
5.2.4 CHALLENGES 65
5.2.4.1 Low return on investment 65
TABLE 2 SOME PROMINENT INVESTMENTS IN THE AI MARKET IN THE PAST YEAR 66
5.2.4.2 Creating models and mechanisms for AI 67
5.2.4.3 Limited structured data 67
5.3 IMPACT OF COVID-19 68
5.4 ECOSYSTEM 69
FIGURE 18 ECOSYSTEM VIEW 70
5.5 PRICING ANALYSIS 70
TABLE 3 PRICE COMPARISON: AI CHIPSETS (LEADING COMPANIES) 71
5.6 TECHNOLOGY ANALYSIS 71
TABLE 4 COMPARISON OF AI CHIP TYPE 72
5.7 LIST OF EMERGING SME’S AND START-UPS OF AI (CHIPSETS) MARKET 72
5.8 CASE STUDIES 73
5.8.1 ACCELERATE ADOPTION OF AI IN DIAGNOSTIC RADIOLOGY 73
5.8.2 DETECTING GRAVITATIONAL WAVES MILLIONS OF LIGHT YEARS AWAY IN REAL-TIME 73
5.8.3 WIPRO’S PIPE SLEUTH WITH OPTIMIZED INFERENCE ON INTEL’S PROCESSORS ENABLES ANOMALY DETECTION 73
5.8.4 AI CATALYZES OPERATIONAL IMPROVEMENTS FOR MANUFACTURING AND SMART CITIES 73
5.8.5 INTEL’S DEEP LEARNING SOLUTIONS BRINGS TOUCH TO SOMATIC’S ROBOTS 73
6 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY HARDWARE 74
6.1 INTRODUCTION 75
TABLE 5 AI (CHIPSETS) MARKET, BY HARDWARE, 2017–2019 (USD MILLION) 75
TABLE 6 AI (CHIPSETS) MARKET, BY HARDWARE, 2020–2026 (USD MILLION) 75
6.2 PROCESSOR 76
6.2.1 HIGH PARALLEL PROCESSING CAPABILITIES AND IMPROVED COMPUTING POWER HAVE RESULTED IN ADOPTION OF PROCESSORS 76
FIGURE 19 AI (CHIPSETS) PROCESSOR MARKET FOR GPU TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 76
TABLE 7 AI (CHIPSETS) MARKET, BY PROCESSOR, 2017–2019 (USD MILLION) 77
TABLE 8 AI (CHIPSETS) MARKET, BY PROCESSOR, 2020–2026 (USD MILLION) 77
6.3 MEMORY 77
6.3.1 HIGH-BANDWIDTH MEMORY IS BEING DEVELOPED AND DEPLOYED FOR AI APPLICATIONS, INDEPENDENT OF ITS COMPUTING ARCHITECTURE 77
6.4 NETWORK 78
6.4.1 NVIDIA (US) AND INTEL (US) ARE KEY PROVIDERS OF NETWORK INTERCONNECT ADAPTERS FOR AI APPLICATIONS 78
7 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY TECHNOLOGY 79
7.1 INTRODUCTION 80
TABLE 9 AI (CHIPSETS) MARKET, BY TECHNOLOGY, 2017–2019 (USD MILLION) 80
TABLE 10 AI (CHIPSETS) MARKET, BY TECHNOLOGY, 2020–2026 (USD MILLION) 80

7.2 MACHINE LEARNING 81
FIGURE 20 SUPERVISED LEARNING TO ACCOUNT FOR LARGEST SIZE OF AI (CHIPSETS) MARKET FOR MACHINE LEARNING THROUGHOUT FORECAST PERIOD 82
TABLE 11 AI (CHIPSETS) MARKET FOR MACHINE LEARNING, BY SUBTYPE, 2017–2019 (USD MILLION) 82
TABLE 12 AI (CHIPSETS) MARKET FOR MACHINE LEARNING, BY SUBTYPE, 2020–2026 (USD MILLION) 83
7.2.1 DEEP LEARNING 83
7.2.1.1 Deep learning uses artificial neural networks to learn
multiple levels of data 83
7.2.2 SUPERVISED LEARNING 84
7.2.2.1 Classification and regression are major segments of
supervised learning 84
7.2.3 UNSUPERVISED LEARNING 84
7.2.3.1 Unsupervised learning includes clustering methods consisting of algorithms with unlabeled training data 84
7.2.4 REINFORCEMENT LEARNING 84
7.2.4.1 Reinforcement learning allows systems and software to determine ideal behavior for maximizing the performance of systems 84
7.2.5 OTHERS 85
7.3 NATURAL LANGUAGE PROCESSING 85
7.3.1 NLP IS DEVELOPED FOR REAL-TIME TRANSLATION AND DEVELOPING SYSTEMS THAT CAN INTERACT THROUGH DIALOGUES 85
7.4 CONTEXT AWARE COMPUTING 85
7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED THE GROWTH OF CONTEXT AWARE COMPUTING 85
7.5 COMPUTER VISION 86
7.5.1 COMPUTER VISION ANALYZES INFORMATION OF DIFFERENT GEOMETRIC SHAPES, VOLUMES, AND PATTERN 86
7.6 PREDICTIVE ANALYSIS 86
7.6.1 PREDICTIVE ANALYSIS IS MAJORLY USED IN AGRICULTURE APPLICATIONS 86
8 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY FUNCTION 87
8.1 INTRODUCTION 88
FIGURE 21 AI (CHIPSETS) MARKET FOR THE TRAINING FUNCTION IS PROJECTED TO GROW AT A HIGHER CAGR DURING FORECAST PERIOD 88
TABLE 13 AI (CHIPSETS) MARKET, BY FUNCTION, 2017–2019 (USD MILLION) 88
TABLE 14 AI (CHIPSETS) MARKET, BY FUNCTION, 2020–2026 (USD MILLION) 88
8.2 TRAINING 89
8.2.1 BUILDING A GOOD MODEL IS DIRECTLY RELATED TO THE QUALITY AND QUANTITY OF DATA USED IN THE PROCESS OF A LEARNING MODEL 89
8.3 INFERENCE 89
8.3.1 ON-PREMISES INFERENCE PLATFORM IS ADOPTED TO GAIN FASTER RESULTS THAN THAT OF CLOUD 89

9 ARTIFICIAL INTELLIGENCE (CHIPSETS) MARKET, BY END-USER INDUSTRY 90
9.1 INTRODUCTION 91
FIGURE 22 AI (CHIPSETS) MARKET FOR MANUFACTURING TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD 91
TABLE 15 AI (CHIPSETS) MARKET, BY END-USER INDUSTRY, 2017–2019
(USD MILLION) 92
TABLE 16 AI (CHIPSETS) MARKET, BY END-USER INDUSTRY, 2020–2026
(USD MILLION) 92
9.2 HEALTHCARE 93
9.2.1 GROWING PATIENT DATA IS DRIVING THE ADOPTION AI IN HEALTHCARE 93
TABLE 17 AI (CHIPSETS) MARKET FOR HEALTHCARE, BY REGION, 2017–2019
(USD MILLION) 93
TABLE 18 AI (CHIPSETS) MARKET FOR HEALTHCARE, BY REGION, 2020–2026
(USD MILLION) 93
TABLE 19 NORTH AMERICA: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY COUNTRY, 2017–2019 (USD MILLION) 94
TABLE 20 NORTH AMERICA: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY COUNTRY, 2020–2026 (USD MILLION) 94
TABLE 21 EUROPE: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY COUNTRY,
2017–2019 (USD MILLION) 94
TABLE 22 EUROPE: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY COUNTRY,
2020–2026 (USD MILLION) 95
TABLE 23 APAC: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY COUNTRY, 2017–2019 (USD MILLION) 95
TABLE 24 APAC: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY COUNTRY, 2020–2026 (USD MILLION) 95
TABLE 25 ROW: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY REGION, 2017–2019 (USD MILLION) 96
TABLE 26 ROW: AI (CHIPSETS) MARKET FOR HEALTHCARE, BY REGION, 2020–2026 (USD MILLION) 96
TABLE 27 AI (CHIPSETS) MARKET FOR HEALTHCARE, BY TECHNOLOGY, 2017–2019 (USD MILLION) 96
TABLE 28 AI (CHIPSETS) MARKET FOR HEALTHCARE, BY TECHNOLOGY, 2020–2026 (USD MILLION) 96
TABLE 29 MACHINE LEARNING IN HEALTHCARE AI (CHIPSETS) MARKET HEALTHCARE, BY SUBTYPE, 2017–2019 (USD MILLION) 97
TABLE 30 MACHINE LEARNING IN HEALTHCARE AI (CHIPSETS) MARKET HEALTHCARE, BY SUBTYPE, 2020–2026 (USD MILLION) 97
TABLE 31 AI (CHIPSETS) MARKET FOR HEALTHCARE, BY APPLICATION, 2017–2019 (USD MILLION) 98
TABLE 32 AI (CHIPSETS) MARKET FOR HEALTHCARE, BY APPLICATION, 2020–2026 (USD MILLION) 98
9.2.1.1 Patient data & risk analysis 99
9.2.1.2 Lifestyle management & monitoring 99
9.2.1.3 Precision medicine 100
9.2.1.4 Inpatient care & hospital management 100
9.2.1.5 Medical imaging & diagnostics 101
9.2.1.6 Drug discovery 101
9.2.1.7 Virtual assistant 102
9.2.1.8 Wearables 102
9.2.1.9 Research 103
9.2.1.10 Healthcare assistance robots 103
9.2.1.11 Emergency room & surgery 103
9.2.1.12 Mental health 104
9.2.1.13 Cybersecurity 104
9.3 MANUFACTURING 105
9.3.1 INDUSTRY 4.0 IS THE DRIVING FACTOR FOR AI ADOPTION IN MANUFACTURING 105
TABLE 33 AI (CHIPSETS) MARKET FOR MANUFACTURING, BY REGION, 2017–2019 (USD MILLION) 105
TABLE 34 AI (CHIPSETS) MARKET FOR MANUFACTURING, BY REGION, 2020–2026 (USD MILLION) 105
TABLE 35 NORTH AMERICA: AI (CHIPSETS) MARKET FOR MANUFACTURING,
BY COUNTRY, 2017–2019 (USD MILLION) 106
TABLE 36 NORTH AMERICA: AI (CHIPSETS) MARKET FOR MANUFACTURING,
BY COUNTRY, 2020–2026 (USD MILLION) 106
TABLE 37 EUROPE: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY COUNTRY, 2017–2019 (USD MILLION) 106
TABLE 38 EUROPE: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY COUNTRY, 2020–2026 (USD MILLION) 107
TABLE 39 APAC: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY COUNTRY,
2017–2019 (USD MILLION) 107
TABLE 40 APAC: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY COUNTRY,
2020–2026 (USD MILLION) 107
TABLE 41 ROW: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY REGION,
2017–2019 (USD MILLION) 108
TABLE 42 ROW: AI (CHIPSETS) MARKET FOR MANUFACTURING, BY REGION,
2020–2026 (USD MILLION) 108
TABLE 43 AI (CHIPSETS) MARKET FOR MANUFACTURING, BY TECHNOLOGY,
2017–2019 (USD MILLION) 108
TABLE 44 AI (CHIPSETS) MARKET FOR MANUFACTURING, BY TECHNOLOGY,
2020–2026 (USD MILLION) 109
TABLE 45 MACHINE LEARNING IN MANUFACTURING AI (CHIPSETS) MARKET,
BY SUBTYPE, 2017–2019 (USD MILLION) 109
TABLE 46 MACHINE LEARNING IN MANUFACTURING AI (CHIPSETS) MARKET,
BY SUBTYPE, 2020–2026 (USD MILLION) 109
FIGURE 23 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION APPLICATION EXPECTED TO HOLD THE LARGEST SHARE OF THE AI (CHIPSETS) MARKET FOR MANUFACTURING DURING THE FORECAST PERIOD 110
TABLE 47 AI (CHIPSETS) MARKET FOR MANUFACTURING, BY APPLICATION,
2017–2019 (USD MILLION) 110
TABLE 48 AI (CHIPSETS) MARKET FOR MANUFACTURING, BY APPLICATION,
2020–2026 (USD MILLION) 111
9.3.1.1 Material movement 111
9.3.1.2 Predictive maintenance and machinery inspection 111
9.3.1.3 Production planning 112
9.3.1.4 Field services 112
9.3.1.5 Reclamation 112
9.3.1.6 Quality control 112
9.4 AUTOMOTIVE 113
9.4.1 AUTOMATED DRIVING USING AI IS THE TREND IN THIS INDUSTRY 113
FIGURE 24 NORTH AMERICA TO HOLD THE LARGEST SHARE OF THE AI (CHIPSETS) MARKET FOR AUTOMOTIVE DURING THE FORECAST PERIOD 113
TABLE 49 AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY REGION, 2017–2019
(USD MILLION) 114
TABLE 50 AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY REGION, 2020–2026
(USD MILLION) 114
TABLE 51 NORTH AMERICA: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY COUNTRY, 2017–2019 (USD MILLION) 114
TABLE 52 NORTH AMERICA: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY COUNTRY, 2020–2026 (USD MILLION) 115
TABLE 53 EUROPE: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY COUNTRY,
2017–2019 (USD MILLION) 115
TABLE 54 EUROPE: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY COUNTRY,
2020–2026 (USD MILLION) 115
TABLE 55 APAC: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY COUNTRY, 2017–2019 (USD MILLION) 116
TABLE 56 APAC: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY COUNTRY, 2020–2026 (USD MILLION) 116
TABLE 57 ROW: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY REGION, 2017–2019 (USD MILLION) 116
TABLE 58 ROW: AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY REGION, 2020–2026 (USD MILLION) 116
TABLE 59 AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2017–2019 (USD MILLION) 117
TABLE 60 AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY TECHNOLOGY, 2020–2026 (USD MILLION) 117
TABLE 61 MACHINE LEARNING IN AUTOMOTIVE AI (CHIPSETS) MARKET, BY SUBTYPE, 2017–2019 (USD MILLION) 117
TABLE 62 MACHINE LEARNING IN AUTOMOTIVE AI (CHIPSETS) MARKET, BY SUBTYPE, 2020–2026 (USD MILLION) 118
TABLE 63 AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY APPLICATION, 2017–2019 (USD MILLION) 118
TABLE 64 AI (CHIPSETS) MARKET FOR AUTOMOTIVE, BY APPLICATION, 2020–2026 (USD MILLION) 118
9.4.1.1 Autonomous driving 118
9.4.1.2 Human–machine interface 119
9.4.1.3 Semi-autonomous driving 120
9.5 AGRICULTURE 120
9.5.1 ADOPTION OF AI TECHNOLOGIES SUCH AS ML AND COMPUTER VISION IS DRIVING THE MARKET 120
TABLE 65 AI (CHIPSETS) MARKET FOR AGRICULTURE, BY REGION, 2017–2019
(USD MILLION) 120
TABLE 66 AI (CHIPSETS) MARKET FOR AGRICULTURE, BY REGION, 2020–2026
(USD MILLION) 121
TABLE 67 NORTH AMERICA: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY COUNTRY, 2017–2019 (USD MILLION) 121
TABLE 68 NORTH AMERICA: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY COUNTRY, 2020–2026 (USD MILLION) 121
TABLE 69 EUROPE: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY COUNTRY,
2017–2019 (USD MILLION) 122
TABLE 70 EUROPE: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY COUNTRY,
2020–2026 (USD MILLION) 122
TABLE 71 APAC: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY COUNTRY, 2017–2019 (USD MILLION) 122
TABLE 72 APAC: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY COUNTRY, 2020–2026 (USD MILLION) 123
TABLE 73 ROW: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY REGION, 2017–2019 (USD MILLION) 123
TABLE 74 ROW: AI (CHIPSETS) MARKET FOR AGRICULTURE, BY REGION, 2020–2026 (USD MILLION) 123
FIGURE 25 MACHINE LEARNING TECHNOLOGY TO DOMINATE THE AI (CHIPSETS) MARKET FOR AGRICULTURE DURING THE FORECAST PERIOD 124
TABLE 75 AI (CHIPSETS) MARKET FOR AGRICULTURE, BY TECHNOLOGY, 2017–2019 (USD MILLION) 124
TABLE 76 AI (CHIPSETS) MARKET FOR AGRICULTURE, BY TECHNOLOGY, 2020–2026 (USD MILLION) 124
TABLE 77 MACHINE LEARNING IN AGRICULTURE AI (CHIPSETS) MARKET, BY SUBTYPE, 2017–2019 (USD MILLION) 125
TABLE 78 MACHINE LEARNING IN AGRICULTURE AI (CHIPSETS) MARKET, BY SUBTYPE, 2020–2026 (USD MILLION) 125
TABLE 79 AI (CHIPSETS) MARKET FOR AGRICULTURE, BY APPLICATION, 2017–2019 (USD MILLION) 125
TABLE 80 AI (CHIPSETS) MARKET FOR AGRICULTURE, BY APPLICATION, 2020–2026 (USD MILLION) 126
9.5.1.1 Precision farming 126
9.5.1.2 Livestock monitoring 126
9.5.1.3 Drone analytics 127
9.5.1.4 Agricultural robots 127
9.5.1.5 Labor management 127
9.5.1.6 Others 128
9.6 RETAIL 128
9.6.1 ENHANCED CUSTOMER EXPERIENCE DUE TO AI IS DRIVING ITS
ADOPTION IN RETAIL 128
TABLE 81 AI (CHIPSETS) MARKET FOR RETAIL, BY REGION, 2017–2019 (USD MILLION) 129
TABLE 82 AI (CHIPSETS) MARKET FOR RETAIL, BY REGION, 2020–2026 (USD MILLION) 129
TABLE 83 NORTH AMERICA: AI (CHIPSETS) MARKET FOR RETAIL, BY COUNTRY,
2017–2019 (USD MILLION) 129
TABLE 84 NORTH AMERICA: AI (CHIPSETS) MARKET FOR RETAIL, BY COUNTRY,
2020–2026 (USD MILLION) 130
TABLE 85 EUROPE: AI (CHIPSETS) MARKET FOR RETAIL, BY COUNTRY, 2017–2019 (USD MILLION) 130
TABLE 86 EUROPE: AI (CHIPSETS) MARKET FOR RETAIL, BY COUNTRY, 2020–2026 (USD MILLION) 130
TABLE 87 APAC: AI (CHIPSETS) MARKET FOR RETAIL, BY COUNTRY, 2017–2019
(USD MILLION) 131
TABLE 88 APAC: AI (CHIPSETS) MARKET FOR RETAIL, BY COUNTRY, 2020–2026
(USD MILLION) 131
TABLE 89 ROW: AI (CHIPSETS) MARKET FOR RETAIL, BY REGION, 2017–2019
(USD MILLION) 131
TABLE 90 ROW: AI (CHIPSETS) MARKET FOR RETAIL, BY REGION, 2020–2026
(USD MILLION) 132
TABLE 91 AI (CHIPSETS) MARKET FOR RETAIL, BY TECHNOLOGY, 2017–2019
(USD MILLION) 132
TABLE 92 AI (CHIPSETS) MARKET FOR RETAIL, BY TECHNOLOGY, 2020–2026
(USD MILLION) 132
TABLE 93 MACHINE LEARNING IN RETAIL AI (CHIPSETS) MARKET, BY SUBTYPE,
2017–2019 (USD MILLION) 133
TABLE 94 MACHINE LEARNING IN RETAIL AI (CHIPSETS) MARKET, BY SUBTYPE,
2020–2026 (USD MILLION) 133
FIGURE 26 RETAIL AI (CHIPSETS) MARKET FOR VISUAL SEARCH TO GROW AT THE HIGHEST CAGR FROM 2020 TO 2026 134
TABLE 95 AI (CHIPSETS) MARKET FOR RETAIL, BY APPLICATION, 2017–2019
(USD MILLION) 134
TABLE 96 AI (CHIPSETS) MARKET FOR RETAIL, BY APPLICATION, 2020–2026
(USD MILLION) 135
9.6.1.1 Product recommendation and planning 135
9.6.1.2 Customer relationship management 135
9.6.1.3 Visual search 136
9.6.1.4 Virtual assistant 136
9.6.1.5 Price optimization 136
9.6.1.6 Payment services management 136
9.6.1.7 Supply chain management and demand planning 136
9.6.1.8 Others 137



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