1 エグゼクティブ・サマリー
2 序文
2.1 概要
2.2 ステークホルダー
2.3 調査範囲
2.4 調査方法
2.4.1 データマイニング
2.4.2 データ分析
2.4.3 データの検証
2.4.4 リサーチアプローチ
2.5 リサーチソース
2.5.1 一次調査ソース
2.5.2 セカンダリーリサーチソース
2.5.3 前提条件
3 市場動向分析
3.1 はじめに
3.2 推進要因
3.3 抑制要因
3.4 機会
3.5 脅威
3.6 技術分析
3.7 アプリケーション分析
3.8 エンドユーザー分析
3.9 新興市場
3.10 Covid-19の影響
4 ポーターズファイブフォース分析
4.1 供給者の交渉力
4.2 買い手の交渉力
4.3 代替品の脅威
4.4 新規参入の脅威
4.5 競争上のライバル関係
5 製造業用人工知能（AI）の世界市場、コンポーネント別
5.1 はじめに
5.2 ハードウェア
5.2.1 プロセッサ
5.2.2 メモリデバイス
5.2.3 ネットワークコンポーネント
5.3 ソフトウェア
5.3.1 人工知能プラットフォーム
5.3.2 コンピュータ・ビジョン・ツール
5.4 サービス
5.4.1 マネージド・サービス
5.4.2 プロフェッショナルサービス
6 製造業用人工知能（AI）の世界市場、展開モード別
6.1 導入
6.2 オンプレミス
6.3 クラウド
7 製造業用人工知能（AI）の世界市場：技術別
7.1 はじめに
7.2 機械学習（ML）
7.3 自然言語処理（NLP）
7.4 コンピュータビジョン
7.5 コンテキスト対応コンピューティング
7.6 ディープラーニング
7.7 その他の技術
8 製造業用人工知能（AI）の世界市場、用途別
8.1 はじめに
8.2 予知保全
8.3 機械検査
8.4 品質管理
8.5 生産計画
8.6 在庫最適化
8.7 サプライチェーン管理
8.8 歩留まりの最適化
8.9 その他の用途
9 製造業用人工知能（AI）の世界市場、エンドユーザー別
9.1 はじめに
9.2 自動車
9.3 エレクトロニクス
9.4 エネルギー・電力
9.5 医薬品
9.6 化学
9.7 食品・飲料
9.8 航空宇宙・防衛
9.9 その他のエンドユーザー
10 製造業用人工知能（AI）の世界市場、地域別
10.1 はじめに
10.2 北アメリカ
10.2.1 アメリカ
10.2.2 カナダ
10.2.3 メキシコ
10.3 ヨーロッパ
10.3.1 ドイツ
10.3.2 イギリス
10.3.3 イタリア
10.3.4 フランス
10.3.5 スペイン
10.3.6 その他のヨーロッパ
10.4 アジア太平洋
10.4.1 日本
10.4.2 中国
10.4.3 インド
10.4.4 オーストラリア
10.4.5 ニュージーランド
10.4.6 韓国
10.4.7 その他のアジア太平洋地域
10.5 南アメリカ
10.5.1 アルゼンチン
10.5.2 ブラジル
10.5.3 チリ
10.5.4 その他の南アメリカ地域
10.6 中東/アフリカ
10.6.1 サウジアラビア
10.6.2 アラブ首長国連邦
10.6.3 カタール
10.6.4 南アフリカ
10.6.5 その他の中東/アフリカ地域
11 主要開発
11.1 契約、パートナーシップ、提携、合弁事業
11.2 買収と合併
11.3 新製品上市
11.4 事業拡大
11.5 その他の主要戦略
12 企業プロフィール
12.1 Siemens
12.2 General Electric （GE）
12.3 IBM
12.4 Rockwell Automation
12.5 ABB
12.6 Honeywell
12.7 Microsoft
12.8 Bosch
12.9 Schneider Electric
12.10 SAP
12.11 NVIDIA
12.12 Intel
12.13 PTC
12.14 Oracle
12.15 Fujitsu
12.16 Sandvik
12.17 Bosch
12.18 Teradyne
12.19 Zebra Technologies
12.20 Autodesk
表一覧
1 製造業用人工知能（AI）の世界市場展望、地域別（2022-2030年） （$MN）
2 製造業用人工知能（AI）の世界市場展望、コンポーネント別（2022-2030年） （$MN）
3 製造業用人工知能（AI）の世界市場展望、ハードウェア別 （2022-2030） （$MN）
4 製造業用人工知能（AI）の世界市場展望：プロセッサ別 （2022-2030） （$MN）
5 製造業用人工知能（AI）の世界市場展望：メモリデバイス別 （2022-2030） （$MN）
6 製造業用人工知能（AI）の世界市場展望、ネットワークコンポーネント別 （2022-2030） （$MN）
7 製造業用人工知能（AI）の世界市場展望、ソフトウェア別 （2022-2030） （$MN）
8 製造業用人工知能（AI）の世界市場展望、人工知能プラットフォーム別 （2022-2030） （$MN）
9 製造業用人工知能（AI）の世界市場展望、コンピュータビジョンツール別 （2022-2030） （$MN）
10 製造業用人工知能（AI）の世界市場展望、サービス別 （2022-2030） （$MN）
11 製造業用人工知能（AI）の世界市場展望：マネージドサービス別 （2022-2030） （$MN）
12 製造業用人工知能（AI）の世界市場展望：プロフェッショナルサービス別 （2022-2030） （$MN）
13 製造業用人工知能（AI）の世界市場展望、展開モード別 （2022-2030） （$MN）
14 製造業用人工知能（AI）の世界市場展望：オンプレミス別 （2022-2030） （$MN）
15 製造業用人工知能（AI）の世界市場展望、クラウド別 （2022-2030） （$MN）
16 製造業用人工知能（AI）の世界市場展望、技術別 （2022-2030） （$MN）
17 製造業用人工知能（AI）の世界市場展望：機械学習（ML）別 （2022-2030） （$MN）
18 製造業用人工知能（AI）の世界市場展望、自然言語処理（NLP）別 （2022-2030） （$MN）
19 製造業用人工知能（AI）の世界市場展望、コンピュータビジョン別 （2022-2030） （$MN）
20 製造業用人工知能（AI）の世界市場展望、コンテキスト認識コンピューティング別 （2022-2030） （$MN）
21 製造業用人工知能（AI）の世界市場展望、ディープラーニング別 （2022-2030） （$MN）
22 製造業用人工知能（AI）の世界市場展望、その他の技術別 （2022-2030） （$MN）
23 製造業用人工知能（AI）の世界市場展望、用途別 （2022-2030） （$MN）
24 製造業用人工知能（AI）の世界市場展望：予知保全別 （2022-2030） （$MN）
25 製造業用人工知能（AI）の世界市場展望、機械検査別 （2022-2030） （$MN）
26 製造業用人工知能（AI）の世界市場展望、品質管理別 （2022-2030） （$MN）
27 製造業用人工知能（AI）の世界市場展望、生産計画別 （2022-2030） （$MN）
28 製造業用人工知能（AI）の世界市場展望：在庫最適化 （2022-2030） （$MN）
29 製造業用人工知能（AI）の世界市場展望：サプライチェーン管理別 （2022-2030） （$MN）
30 製造業用人工知能（AI）の世界市場展望、歩留まり最適化別 （2022-2030） （$MN）
31 製造業用人工知能（AI）の世界市場展望、その他の用途別 （2022-2030） （$MN）
32 製造業用人工知能（AI）の世界市場展望、エンドユーザー別 （2022-2030） （$MN）
33 製造業用人工知能（AI）の世界市場展望：自動車別 （2022-2030） （$MN）
34 製造業用人工知能（AI）の世界市場展望、エレクトロニクス別 （2022-2030） （$MN）
35 製造業用人工知能（AI）の世界市場展望：エネルギー・電力別 （2022-2030） （$MN）
36 製造業用人工知能（AI）の世界市場展望、医薬品別 （2022-2030） （$MN）
37 製造業用人工知能（AI）の世界市場展望、化学製品別 （2022-2030） （$MN）
38 製造業用人工知能（AI）の世界市場展望、食品・飲料別 （2022-2030） （$MN）
39 製造業用人工知能（AI）の世界市場展望、航空宇宙・防衛別 （2022-2030） （$MN）
40 製造業用人工知能（AI）の世界市場展望：その他のエンドユーザー別 （2022-2030） （$MN）
注：北アメリカ、ヨーロッパ、APAC、南アメリカ、中東/アフリカ地域の表も上記と同様に表現しています。
According to Capgemini’s report of 2019, European manufacturers are leading in implementing AI technology, Germany is at the top rank in adoption.
Market Dynamics:
Driver:
Adoption of industry 4.0
Industry 4.0 emphasizes the use of AI, the internet of things (IoT), robotics, and big data to create highly interconnected and intelligent production systems. AI enables real-time monitoring, predictive maintenance, and process optimization, enhancing efficiency and reducing downtime. As manufacturers shift towards smart factories and digitalization, AI becomes essential for automating decision-making, improving product quality, and achieving operational flexibility, thus driving the overall growth of AI in the manufacturing market.
Restraint:
Data privacy and security concerns
Data privacy and security concerns in Artificial Intelligence (AI) in manufacturing arise because AI systems rely on vast amounts of sensitive data from machines, processes, and networks. This data is often stored and processed in connected environments, making it vulnerable to cyberattacks, unauthorized access, and breaches. These risks deter some manufacturers from adopting AI solutions, as they may be cautious about potential data vulnerabilities, thus hampering the growth of AI in the manufacturing market.
Opportunity:
Increased demand for automation
AI-powered automation reduces human intervention, streamlines operations, and minimizes errors, leading to cost savings and improved productivity. Manufacturers are adopting AI for tasks such as robotic automation, predictive maintenance, and quality control, which enhance speed and precision. Automation also addresses labour shortages by filling skill gaps and handling repetitive tasks. As industries aim to boost output and remain competitive, the demand for AI-driven automation continues to rise, fuelling market growth.
Threat:
High implementation costs
AI in manufacturing has high implementation costs due to the need for advanced hardware, software, and specialized infrastructure, including sensors, data processing systems, and machine learning algorithms. Additionally, integrating AI with existing legacy systems requires significant customization, time, and skilled personnel, further increasing expenses. These upfront costs, along with ongoing maintenance and updates, present financial barriers, especially for small and medium-sized enterprises (SMEs).
Covid-19 Impact
The covid-19 pandemic accelerated the adoption of Artificial Intelligence in manufacturing as companies sought to overcome supply chain disruptions, labour shortages, and operational challenges. AI-driven automation, predictive maintenance, and demand forecasting became critical for maintaining production efficiency and adapting to fluctuating market conditions. However, initial investments slowed due to economic uncertainty and reduced capital expenditures. Despite this, the long-term impact has been positive, with increased focus on AI solutions for resilience, flexibility, and improved operational efficiency in manufacturing.
The supply chain management segment is expected to be the largest during the forecast period
The supply chain management segment is estimated to be the largest during the forecast period. Artificial Intelligence (AI) in manufacturing is revolutionizing supply chain management by optimizing operations, enhancing demand forecasting, and improving inventory management. AI-driven systems analyze large datasets to predict demand patterns, detect supply chain disruptions, and streamline logistics. Predictive analytics enable manufacturers to reduce excess inventory and prevent stockouts, while AI-powered automation helps in scheduling and resource allocation.
The electronics segment is expected to have the highest CAGR during the forecast period
The electronics segment is anticipated to witness the highest CAGR during the forecast period. Artificial Intelligence (AI) in electronics manufacturing enhances efficiency and precision by automating tasks such as defect detection, predictive maintenance, and quality control. AI-powered computer vision systems enable real-time inspection, ensuring higher product quality and reducing human error. Machine learning algorithms optimize production processes, minimizing downtime and waste. AI also supports supply chain optimization and inventory management, improving operational flexibility.
Region with largest share:
Asia Pacific is projected to have the largest market share during the forecast period driven by strong industrial development, government initiatives promoting automation, and the rise of smart factories. Countries like China, Japan, and South Korea are leading in AI adoption, with significant investments in robotics, machine learning, and predictive analytics to enhance production efficiency. The region's robust manufacturing sector, combined with technological advancements and increasing demand for higher productivity and cost reduction, positions Asia Pacific as a key hub for AI-driven industrial transformation.
Region with highest CAGR:
North America is projected to have the highest CAGR over the forecast period, driven by advanced technology adoption, a focus on smart manufacturing, and the region's push for digital transformation. The U.S. leads the way, with manufacturers leveraging AI for predictive maintenance, quality control, and process optimization. The regions highly developed industrial sector, coupled with investments in automation and machine learning, supports increased efficiency and innovation. AI-powered solutions in robotics and data analytics are helping North American manufacturers improve productivity, reduce operational costs, and enhance competitiveness in global markets.
Key players in the market:
Some of the key players profiled in the Artificial Intelligence in Manufacturing Market include Siemens, General Electric (GE), IBM, Rockwell Automation, ABB, Honeywell, Microsoft, Bosch, Schneider Electric, SAP, NVIDIA, Intel, PTC, Oracle, Fujitsu, Sandvik, Teradyne, Zebra Technologies and Autodesk.
Key Developments:
In June 2024, Sandvik launched AI in the “Manufacturing Copilot”, the manufacturing software in alliance with Microsoft. This will provide customers a simple and more accessible experience with 24/7 intelligent customer assistance. The Copilot offers real-time updates and enables informed choices. This is the first step in the AI roadmap to enhance the customer experience.
In April 2024, Microsoft announced new industrial AI innovations from the cloud to the factory floor. This AI-driven shift is prompting many organizations to fundamentally alter their business models and re-evaluate how to address industry-wide challenges like data siloes from disparate data estates and legacy products, supply chain visibility issues, labor shortages, and the need for upskilling employees.
Components Covered:
• Hardware
• Software
• Services
Deployment Modes Covered:
• On-Premise
• Cloud
Technologies Covered:
• Machine Learning (ML)
• Natural Language Processing (NLP)
• Computer Vision
• Context-aware Computing
• Deep Learning
• Other Technologies
Applications Covered:
• Predictive Maintenance
• Machinery Inspection
• Quality Control
• Production Planning
• Inventory Optimization
• Supply Chain Management
• Yield Optimization
• Other Applications
End Users Covered:
• Automotive
• Electronics
• Energy & Power
• Pharmaceuticals
• Chemicals
• Food & Beverages
• Aerospace & Defense
• Other End Users
Regions Covered:
• North America
US
Canada
Mexico
• Europe
Germany
UK
Italy
France
Spain
Rest of Europe
• Asia Pacific
Japan
China
India
Australia
New Zealand
South Korea
Rest of Asia Pacific
• South America
Argentina
Brazil
Chile
Rest of South America
• Middle East & Africa
Saudi Arabia
UAE
Qatar
South Africa
Rest of Middle East & Africa
What our report offers:
- Market share assessments for the regional and country-level segments
- Strategic recommendations for the new entrants
- Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
- Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
- Strategic recommendations in key business segments based on the market estimations
- Competitive landscaping mapping the key common trends
- Company profiling with detailed strategies, financials, and recent developments
- Supply chain trends mapping the latest technological advancements
1 Executive Summary
2 Preface
2.1 Abstract
2.2 Stake Holders
2.3 Research Scope
2.4 Research Methodology
2.4.1 Data Mining
2.4.2 Data Analysis
2.4.3 Data Validation
2.4.4 Research Approach
2.5 Research Sources
2.5.1 Primary Research Sources
2.5.2 Secondary Research Sources
2.5.3 Assumptions
3 Market Trend Analysis
3.1 Introduction
3.2 Drivers
3.3 Restraints
3.4 Opportunities
3.5 Threats
3.6 Technology Analysis
3.7 Application Analysis
3.8 End User Analysis
3.9 Emerging Markets
3.10 Impact of Covid-19
4 Porters Five Force Analysis
4.1 Bargaining power of suppliers
4.2 Bargaining power of buyers
4.3 Threat of substitutes
4.4 Threat of new entrants
4.5 Competitive rivalry
5 Global Artificial Intelligence In Manufacturing Market, By Component
5.1 Introduction
5.2 Hardware
5.2.1 Processors
5.2.2 Memory Devices
5.2.3 Network Components
5.3 Software
5.3.1 Artificial Intelligence Platforms
5.3.2 Computer Vision Tools
5.4 Services
5.4.1 Managed Services
5.4.2 Professional Services
6 Global Artificial Intelligence In Manufacturing Market, By Deployment Mode
6.1 Introduction
6.2 On-Premise
6.3 Cloud
7 Global Artificial Intelligence In Manufacturing Market, By Technology
7.1 Introduction
7.2 Machine Learning (ML)
7.3 Natural Language Processing (NLP)
7.4 Computer Vision
7.5 Context-aware Computing
7.6 Deep Learning
7.7 Other Technologies
8 Global Artificial Intelligence In Manufacturing Market, By Application
8.1 Introduction
8.2 Predictive Maintenance
8.3 Machinery Inspection
8.4 Quality Control
8.5 Production Planning
8.6 Inventory Optimization
8.7 Supply Chain Management
8.8 Yield Optimization
8.9 Other Applications
9 Global Artificial Intelligence In Manufacturing Market, By End User
9.1 Introduction
9.2 Automotive
9.3 Electronics
9.4 Energy & Power
9.5 Pharmaceuticals
9.6 Chemicals
9.7 Food & Beverages
9.8 Aerospace & Defense
9.9 Other End Users
10 Global Artificial Intelligence In Manufacturing Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 Germany
10.3.2 UK
10.3.3 Italy
10.3.4 France
10.3.5 Spain
10.3.6 Rest of Europe
10.4 Asia Pacific
10.4.1 Japan
10.4.2 China
10.4.3 India
10.4.4 Australia
10.4.5 New Zealand
10.4.6 South Korea
10.4.7 Rest of Asia Pacific
10.5 South America
10.5.1 Argentina
10.5.2 Brazil
10.5.3 Chile
10.5.4 Rest of South America
10.6 Middle East & Africa
10.6.1 Saudi Arabia
10.6.2 UAE
10.6.3 Qatar
10.6.4 South Africa
10.6.5 Rest of Middle East & Africa
11 Key Developments
11.1 Agreements, Partnerships, Collaborations and Joint Ventures
11.2 Acquisitions & Mergers
11.3 New Product Launch
11.4 Expansions
11.5 Other Key Strategies
12 Company Profiling
12.1 Siemens
12.2 General Electric (GE)
12.3 IBM
12.4 Rockwell Automation
12.5 ABB
12.6 Honeywell
12.7 Microsoft
12.8 Bosch
12.9 Schneider Electric
12.10 SAP
12.11 NVIDIA
12.12 Intel
12.13 PTC
12.14 Oracle
12.15 Fujitsu
12.16 Sandvik
12.17 Bosch
12.18 Teradyne
12.19 Zebra Technologies
12.20 Autodesk
List of Tables
1 Global Artificial Intelligence In Manufacturing Market Outlook, By Region (2022-2030) ($MN)
2 Global Artificial Intelligence In Manufacturing Market Outlook, By Component (2022-2030) ($MN)
3 Global Artificial Intelligence In Manufacturing Market Outlook, By Hardware (2022-2030) ($MN)
4 Global Artificial Intelligence In Manufacturing Market Outlook, By Processors (2022-2030) ($MN)
5 Global Artificial Intelligence In Manufacturing Market Outlook, By Memory Devices (2022-2030) ($MN)
6 Global Artificial Intelligence In Manufacturing Market Outlook, By Network Components (2022-2030) ($MN)
7 Global Artificial Intelligence In Manufacturing Market Outlook, By Software (2022-2030) ($MN)
8 Global Artificial Intelligence In Manufacturing Market Outlook, By Artificcial Intelligence Platforms (2022-2030) ($MN)
9 Global Artificial Intelligence In Manufacturing Market Outlook, By Computer Vision Tools (2022-2030) ($MN)
10 Global Artificial Intelligence In Manufacturing Market Outlook, By Services (2022-2030) ($MN)
11 Global Artificial Intelligence In Manufacturing Market Outlook, By Managed Services (2022-2030) ($MN)
12 Global Artificial Intelligence In Manufacturing Market Outlook, By Professional Services (2022-2030) ($MN)
13 Global Artificial Intelligence In Manufacturing Market Outlook, By Deployment Mode (2022-2030) ($MN)
14 Global Artificial Intelligence In Manufacturing Market Outlook, By On-Premise (2022-2030) ($MN)
15 Global Artificial Intelligence In Manufacturing Market Outlook, By Cloud (2022-2030) ($MN)
16 Global Artificial Intelligence In Manufacturing Market Outlook, By Technology (2022-2030) ($MN)
17 Global Artificial Intelligence In Manufacturing Market Outlook, By Machine Learning (ML) (2022-2030) ($MN)
18 Global Artificial Intelligence In Manufacturing Market Outlook, By Natural Language Processing (NLP) (2022-2030) ($MN)
19 Global Artificial Intelligence In Manufacturing Market Outlook, By Computer Vision (2022-2030) ($MN)
20 Global Artificial Intelligence In Manufacturing Market Outlook, By Context-aware Computing (2022-2030) ($MN)
21 Global Artificial Intelligence In Manufacturing Market Outlook, By Deep Learning (2022-2030) ($MN)
22 Global Artificial Intelligence In Manufacturing Market Outlook, By Other Technologies (2022-2030) ($MN)
23 Global Artificial Intelligence In Manufacturing Market Outlook, By Application (2022-2030) ($MN)
24 Global Artificial Intelligence In Manufacturing Market Outlook, By Predictive Maintenance (2022-2030) ($MN)
25 Global Artificial Intelligence In Manufacturing Market Outlook, By Machinery Inspection (2022-2030) ($MN)
26 Global Artificial Intelligence In Manufacturing Market Outlook, By Quality Control (2022-2030) ($MN)
27 Global Artificial Intelligence In Manufacturing Market Outlook, By Production Planning (2022-2030) ($MN)
28 Global Artificial Intelligence In Manufacturing Market Outlook, By Inventory Optimization (2022-2030) ($MN)
29 Global Artificial Intelligence In Manufacturing Market Outlook, By Supply Chain Management (2022-2030) ($MN)
30 Global Artificial Intelligence In Manufacturing Market Outlook, By Yield Optimization (2022-2030) ($MN)
31 Global Artificial Intelligence In Manufacturing Market Outlook, By Other Applications (2022-2030) ($MN)
32 Global Artificial Intelligence In Manufacturing Market Outlook, By End User (2022-2030) ($MN)
33 Global Artificial Intelligence In Manufacturing Market Outlook, By Automotive (2022-2030) ($MN)
34 Global Artificial Intelligence In Manufacturing Market Outlook, By Electronics (2022-2030) ($MN)
35 Global Artificial Intelligence In Manufacturing Market Outlook, By Energy & Power (2022-2030) ($MN)
36 Global Artificial Intelligence In Manufacturing Market Outlook, By Pharmaceuticals (2022-2030) ($MN)
37 Global Artificial Intelligence In Manufacturing Market Outlook, By Chemicals (2022-2030) ($MN)
38 Global Artificial Intelligence In Manufacturing Market Outlook, By Food & Beverages (2022-2030) ($MN)
39 Global Artificial Intelligence In Manufacturing Market Outlook, By Aerospace & Defense (2022-2030) ($MN)
40 Global Artificial Intelligence In Manufacturing Market Outlook, By Other End Users (2022-2030) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
