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製造業の人工知能市場:製品毎(ハードウェア、ソフトウェア、サービス)、技術毎(機械学習、コンピュータビジョン、コンテキストアウェアコンピューティング、自然言語処理)、用途毎、産業毎、地域毎 - 2025年までの世界市場予測

Artificial Intelligence in Manufacturing Market by Offering (Hardware, Software, and Services), Technology (Machine Learning, Computer Vision, Context-Aware Computing, and NLP), Application, Industry, and Geography - Global Forecast to 2025

 

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MarketsandMarkets
マーケッツアンドマーケッツ
2019年1月US$5,650
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幅広い市場に関する調査レポートを出版しているマーケッツアンドマーケッツ(MarketsandMarkets)の製造業の人工知能市場に関する調査レポートです。

“AI in manufacturing market projected to grow at 49.5% CAGR during 2018-2025”

The AI in manufacturing market is expected to grow from USD 1.0 billion in 2018 to USD 17.2 billion by 2025, at a CAGR of 49.5% during the forecast period. Increasingly large and complex data set available in the form of big data and evolution of industrial IoT and automation are the key drivers of this market. Improving computing power, declining hardware cost, and increasing venture capital investments are the other factors fuelling the growth of this market. However, reluctance among manufacturers to adopt AI-based technologies and lack of awareness among small and medium-sized businesses are among the major factors restraining the growth of the AI in manufacturing market. Also, high power requirement from machine learning hardware, especially during network training, is limiting the growth of the said market.

“Hardware segment to witness highest growth rate among other offerings during forecast period”

Increasing need for hardware platforms with high computing power to run various AI software is the key factor accelerating the growth of hardware devices in the manufacturing market. The AI in manufacturing market is segmented on the basis of hardware into processor, memory, and network. The large presence of major companies that contribute to the AI sector are located in North America and has made the region a major market for AI hardware.

“Machine learning to hold largest market followed by computer vision in AI manufacturing market”

Machine learning’s ability to collect and handle big data and its applications in various manufacturing applications such as predictive analytics and machinery inspection, quality control, and cybersecurity are fueling its growth. The growing adoption of computer vision in applications such as industrial robots, quality control, and material movement is propelling the growth of this technology in the AI in manufacturing market. Computer vision analyzes the information of different geometric shapes, volumes, and patterns, and provides visual feedback to the user, which is further used to draw the inference. The fundamental objective of computer vision technology is to interpret the picture obtained through a high-resolution camera.

 “Automobile industry to hold largest market during forecast period”

The automobile industry is expected to hold the largest size of AI in manufacturing market during the forecast period. Extensive use of AI technologies, especially machine learning and computer vision in machinery inspection, installations of industrial IoT, and usage of big data, is driving the growth of the AI in manufacturing market for the automobile industry. Moreover, to reduce costs and improve the quality of vehicle production, automobile makers have started using computer vision and machine learning technology.

“APAC to witness highest growth followed by North America from 2018 to 2025”

APAC, especially in China, Japan, and South Korea, is considered the largest market for industrial robots. The industrial robots generate a huge amount of data. This data is used in deep learning algorithm to further train the robots. This would act as one of the major drivers for the AI in manufacturing market in APAC. Cross-industry participation in the manufacturing domain, along with a significant increase in venture capital investment, has propelled the growth of the AI in manufacturing market in North America.

In the process of determining and verifying the market size for several segments and subsegments gathered through the secondary research, extensive primary interviews have been conducted with key industry experts in the AI in manufacturing marketspace. The break-up of primary participants for the report has been shown below:

- By Company Type: Tier 1 - 15%, Tier 2 - 45%, and Tier 3 - 40%
- By Designation: C-level Executives - 65%, Directors - 25%, and Others - 10%
- By Region: North America - 25%, Europe - 55%, APAC - 15%, and RoW - 5%

The report profiles key players in the AI in manufacturing market with their respective market ranking analysis. Prominent players profiled in this report are NVIDIA Corporation (US), IBM Corporation (US), Alphabet Inc. (Google) (US), Microsoft Corporation (US), Intel Corporation (US), AWS (US), Sight Machine (US), Siemens AG (Germany), and General Electric Company (US).

Research Coverage:

This research report categorizes the global AI market on the basis of offering, technology, application, industry, and geography. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the AI in manufacturing market and forecasts the same till 2025.

Key Benefits of Buying the Report

The report would help leaders/new entrants in this market in the following ways:

1. This report segments the AI in manufacturing market comprehensively and provides the closest market size projection for all subsegments across different regions.
2. The report helps stakeholders understand the pulse of the market and provides them with information on key drivers, restraints, challenges, and opportunities for market growth.
3. The report helps stakeholders to understand value-chain of AI in manufacturing market along with recent case studies.
4. This report would help stakeholders understand their competitors better and gain more insights to improve their position in the business. The competitive landscape section includes product launch, acquisition, collaboration, expansion, and partnership.



目次

1 INTRODUCTION 18
1.1 STUDY OBJECTIVES 18
1.2 MARKET DEFINITION 18
1.3 STUDY SCOPE 19
1.3.1 MARKETS COVERED 19
1.3.2 YEARS CONSIDERED 20
1.4 CURRENCY 20
1.5 PACKAGE SIZE 20
1.6 STAKEHOLDERS 20

2 RESEARCH METHODOLOGY 22
2.1 RESEARCH DATA 22
2.1.1 SECONDARY AND PRIMARY RESEARCH 23
2.1.1.1 Key industry insights 24
2.1.2 SECONDARY DATA 24
2.1.2.1 List of major secondary sources 24
2.1.2.2 Secondary sources 25
2.1.3 PRIMARY DATA 26
2.1.3.1 Primary interviews with experts 26
2.1.3.2 Breakdown of primaries 26
2.1.3.3 Primary sources 27
2.2 MARKET SIZE ESTIMATION 27
2.2.1 BOTTOM-UP APPROACH 28
2.2.1.1 Approach for capturing the market share by bottom-up analysis (demand side) 28
2.2.2 TOP-DOWN APPROACH 29
2.2.2.1 Approach for capturing the market share by top-down analysis (supply side) 29
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 31
2.4 RESEARCH ASSUMPTIONS 32

3 EXECUTIVE SUMMARY 33

4 PREMIUM INSIGHTS 39
4.1 ATTRACTIVE OPPORTUNITIES IN AI IN MANUFACTURING MARKET 39
4.2 AI IN MANUFACTURING MARKET, BY OFFERING 40
4.3 AI IN MANUFACTURING MARKET, BY TECHNOLOGY 40
4.4 APAC: AI IN MANUFACTURING MARKET, BY INDUSTRY AND COUNTRY 41
4.5 AI IN MANUFACTURING MARKET, BY COUNTRY 42

5 MARKET OVERVIEW 43
5.1 INTRODUCTION 43
5.2 MARKET DYNAMICS 44
5.2.1 DRIVERS 44
5.2.1.1 Increasingly large and complex data set 44
5.2.1.2 Evolving Industrial IoT and automation 45
5.2.1.3 Improving computing power and declining hardware cost 45
5.2.1.4 Increasing venture capital investments 46
5.2.2 RESTRAINTS 47
5.2.2.1 Reluctance among manufacturers to adopt AI-based technologies 47
5.2.3 OPPORTUNITIES 47
5.2.3.1 Growth in operational efficiency of manufacturing plants 47
5.2.3.2 Application of AI for intelligent business process 47
5.2.4 CHALLENGES 48
5.2.4.1 Limited skilled workforce 48
5.2.4.2 Concerns regarding data privacy 48
5.3 VALUE CHAIN ANALYSIS 48
5.4 CASE STUDIES 50
5.4.1 SIEMENS GAMESA USES FUJITSU’S AI SOLUTION TO ACCELERATE INSPECTION OF TURBINE BLADES 50
5.4.2 VOLVO USES MACHINE LEARNING-DRIVEN DATA ANALYTICS FOR PREDICTING BREAKDOWN AND FAILURES 50
5.4.3 ROLLS-ROYCE USING MICROSOFT CORTANA INTELLIGENCE FOR PREDICTIVE MAINTENANCE 50
5.4.4 PAPER PACKAGING FIRM USED SIGHT MACHINE’S ENTERPRISE MANUFACTURING ANALYTICS TO IMPROVE PRODUCTION 50

6 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY OFFERING 51
6.1 INTRODUCTION 52
6.2 HARDWARE 53
6.2.1 PROCESSOR 54
6.2.1.1 MPU 56
6.2.1.1.1 MPUs to hold the largest share of AI in manufacturing market for processors during the forecast period 56
6.2.1.2 GPU 56
6.2.1.2.1 GPUs to grow at the highest CAGR during the forecast period 56
6.2.1.3 FPGA 56
6.2.1.3.1 Low power consumption and low latency expected to drive the market for FPGA 56
6.2.1.4 ASIC 57
6.2.1.4.1 User-specific customized solution offered by ASIC to drive its market 57
6.2.2 MEMORY 57
6.2.2.1 High-bandwidth memory is being developed and deployed for
AI applications, independent of its computing architecture 57
6.2.3 NETWORK 58
6.2.3.1 Nvidia (US), Intel (US) and Mellanox Technologies (Israel) are the
key providers of network interconnect adapters for AI applications 58
6.3 SOFTWARE 58
6.3.1 AI SOLUTIONS 60
6.3.1.1 On-Premises 60
6.3.1.1.1 Data-sensitive enterprises prefer on-premise advanced
NLP and Ml tools to be used in AI solutions 60
6.3.1.2 Cloud 60
6.3.1.2.1 AI solution providers are focusing on the development of robust cloud-based solutions for their clients 60
6.3.2 AI PLATFORM 61
6.3.2.1 Machine learning framework 62
6.3.2.1.1 Major tech companies such as Google, IBM, and Microsoft are developing and offering their own Ml frameworks 62
6.3.2.2 Application Program Interface (API) 62
6.3.2.2.1 An API provides a platform for a set of routines and tools for building software applications 62
6.4 SERVICES 62
6.4.1 DEPLOYMENT & INTEGRATION 63
6.4.1.1 Deployment and integration is a key service required for configuring AI systems in manufacturing 63
6.4.2 SUPPORT & MAINTENANCE 64
6.4.2.1 The ultimate objective of maintenance services is to keep the system at an acceptable standard 64

7 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY TECHNOLOGY 65
7.1 INTRODUCTION 66
7.2 MACHINE LEARNING 67
7.2.1 DEEP LEARNING 68
7.2.1.1 Deep learning uses artificial neural networks to learn multiple levels of data 68
7.2.2 SUPERVISED LEARNING 69
7.2.2.1 Classification and regression are major segmentation of supervised learning 69
7.2.3 REINFORCEMENT LEARNING 70
7.2.3.1 Reinforcement learning allows systems and software to determine ideal behavior for maximizing performance of the systems 70
7.2.4 UNSUPERVISED LEARNING 70
7.2.4.1 Unsupervised learning include clustering methods consisting of algorithms with unlabeled training data 70
7.2.5 OTHERS 70
7.3 NATURAL LANGUAGE PROCESSING 71
7.3.1 NLP IS DEVELOPED FOR MAKING REAL-TIME TRANSLATION AND DEVELOPING SYSTEMS THAT CAN INTERACT THROUGH DIALOGUES 71
7.4 CONTEXT-AWARE COMPUTING 72
7.4.1 DEVELOPMENT OF MORE SOPHISTICATED HARD AND SOFT SENSORS HAS ACCELERATED THE GROWTH OF CONTEXT-AWARE COMPUTING 72
7.5 COMPUTER VISION 73
7.5.1 COMPUTER VISION ANALYZES THE INFORMATION OF DIFFERENT GEOMETRIC SHAPES, VOLUMES, AND PATTERNS 73

8 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY APPLICATION 75
8.1 INTRODUCTION 76
8.2 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION 77
8.2.1 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION PROVIDE THE FRAMEWORK FOR ALL PLANNED MAINTENANCE ACTIVITIES 77
8.3 MATERIAL MOVEMENT 79
8.3.1 AI-BASED TECHNOLOGY FOR MATERIAL MOVEMENT WILL ENSURE STREAMLINING OF IN-PLANT LOGISTICS 79
8.4 PRODUCTION PLANNING 81
8.4.1 THE USE OF AI IN PRODUCTION PLANNING LEADS TO THE STANDARDIZATION OF PRODUCT AND PROCESS SEQUENCE 81
8.5 FIELD SERVICES 83
8.5.1 FIELD SERVICES ARE EXTENSIVELY USED IN HEAVY METALS AND MACHINE MANUFACTURING, OIL & GAS, AND ENERGY AND POWER INDUSTRY 83
8.6 QUALITY CONTROL 84
8.6.1 AI-BASED QUALITY CONTROL SYSTEM IS WIDELY USED IN PHARMACEUTICALS, FOOD & BEVERAGES, AND SEMICONDUCTOR INDUSTRIES 84
8.7 CYBERSECURITY 86
8.7.1 AUTOMATION AND INTEGRATING REAL-TIME SYSTEMS IN MANUFACTURING IS RESULTING IN ADOPTION OF CYBERSECURITY SYSTEMS 86
8.8 INDUSTRIAL ROBOTS 88
8.8.1 INDUSTRIAL ROBOTS CAN BE CLASSIFIED INTO TRADITIONAL INDUSTRIAL ROBOTS AND COLLABORATIVE ROBOTS 88
8.9 RECLAMATION 90
8.9.1 IN RECLAMATION, AI-BASED SYSTEMS DETECT IMPORTANT COMPONENTS FROM WASTE OR SLAGS 90

9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY INDUSTRY 92
9.1 INTRODUCTION 93
9.2 AUTOMOBILE 94
9.2.1 MACHINE LEARNING AND COMPUTER VISION ARE THE MAJOR AI TECHNOLOGIES DEPLOYED IN AUTOMOBILE INDUSTRY 94
9.3 ENERGY AND POWER 95
9.3.1 AI-BASED SOLUTIONS CAN HELP ENERGY AND POWER INDUSTRY TO ENHANCE PRODUCTION OUTPUT AND REDUCED DOWNTIME 95
9.4 PHARMACEUTICALS 97
9.4.1 QUALITY CONTROL, MATERIAL MOVEMENT, AND PRODUCTION PLANNING ARE THE MAJOR APPLICATIONS OF AI IN PHARMACEUTICALS 97
9.5 HEAVY METALS AND MACHINE MANUFACTURING 98
9.5.1 APAC IS CONSIDERED TO HAVE THE HIGHEST NUMBER OF HEAVY METALS AND MACHINE MANUFACTURING PLANTS IN THE WORLD 98
9.6 SEMICONDUCTORS AND ELECTRONICS 99
9.6.1 AI IS LIKELY TO ASSIST IN OPTIMIZING THE PRODUCTION COST, TECHNOLOGY IMPLEMENTATION, AND INTEGRATION OF COMPONENTS 99
9.7 FOOD & BEVERAGES 100
9.7.1 AI-BASED SOLUTIONS ENHANCE THE QUALITY OF THE FOOD PRODUCTION COST-EFFECTIVELY 100
9.8 OTHERS 101

10 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET, BY REGION 103
10.1 INTRODUCTION 104
10.2 NORTH AMERICA 106
10.2.1 US 108
10.2.1.1 US is among the frontrunners in terms of adoption of IIoT and industrial robots which is boosting the adoption of AI 108
10.2.2 CANADA 109
10.2.2.1 Government funding and extensive start-up activity, especially in
AI are the major factors supporting the growth of AI 109
10.2.3 MEXICO 109
10.2.3.1 Increase the productivity and reduce the cost are the major factors leading to the adoption of AI in Mexico 109
10.3 EUROPE 110
10.3.1 GERMANY 114
10.3.1.1 Implementation of big data in the manufacturing plant has resulted in the adoption of AI-based solutions in Germany 114
10.3.2 UK 115
10.3.2.1 Favorable environment for R&D has led to innovations in the field of AI in manufacturing 115
10.3.3 FRANCE 115
10.3.3.1 Increased funding and rising AI start-ups are expected to proliferate AI in France 115
10.3.4 ITALY 116
10.3.4.1 Manufacturers in Italy are adopting smart factory and
AI-based solutions 116
10.3.5 SPAIN 116
10.3.5.1 Cybersecurity is among the emerging trend of AI in the manufacturing sector in Spain 116
10.3.6 REST OF EUROPE 116
10.4 APAC 117
10.4.1 CHINA 121
10.4.1.1 Manufacturing sectors in China are growing rapidly, resulting in the introduction of new robotics and big data technologies 121
10.4.2 JAPAN 121
10.4.2.1 Federal initiatives and presence of world-leading manufacturing companies is expected to boost AI in Japan 121
10.4.3 SOUTH KOREA 122
10.4.3.1 Quality manufacturing services and introduction of automation in manufacturing industries is driving the market of AI in South Korea 122
10.4.4 INDIA 122
10.4.4.1 AI in the manufacturing industry is still in its nascent stage in India 122
10.4.5 REST OF APAC 123
10.5 ROW 124
10.5.1 SOUTH AMERICA 126
10.5.1.1 South American region invests heavily in IT services 126
10.5.2 MIDDLE EAST AND AFRICA 126
10.5.2.1 Growing manufacturing expenditure in Israel, the Middle East, and North Africa is a key growth driver of AI in manufacturing 126

11 COMPETITIVE LANDSCAPE 127
11.1 OVERVIEW 127
11.2 RANKING OF PLAYERS, 2017 128
11.3 COMPETITIVE SCENARIO 130
11.3.1 PRODUCT LAUNCHES AND DEVELOPMENTS 131
11.3.2 COLLABORATIONS, PARTNERSHIPS, AND AGREEMENTS 132
11.3.3 ACQUISITIONS & JOINT VENTURES 134

12 COMPANY PROFILES 135
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View)*
12.1 KEY PLAYERS 135
12.1.1 NVIDIA 135
12.1.2 INTEL 140
12.1.3 IBM 144
12.1.4 SIEMENS 148
12.1.5 GENERAL ELECTRIC (GE) COMPANY 152
12.1.6 GOOGLE 155
12.1.7 MICROSOFT 158
12.1.8 MICRON TECHNOLOGY 162
12.1.9 AMAZON WEB SERVICES (AWS) 165
12.1.10 SIGHT MACHINE 168
12.2 OTHER COMPANIES 170
12.2.1 PROGRESS SOFTWARE CORPORATION (DATARPM) 170
12.2.2 AIBRAIN 170
12.2.3 GENERAL VISION 171
12.2.4 ROCKWELL AUTOMATION 171
12.2.5 CISCO SYSTEMS 172
12.2.6 MITSUBISHI ELECTRIC 172
12.2.7 ORACLE 173
12.2.8 SAP 173
12.2.9 VICARIOUS 174
12.2.10 UBTECH ROBOTICS 174
*Details on Business Overview, Products Offered, Recent Developments, SWOT Analysis, and MnM View might not be captured in case of unlisted companies.

13 APPENDIX 175
13.1 INSIGHTS FROM INDUSTRY EXPERTS 175
13.2 DISCUSSION GUIDE 176
13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 180
13.5 AVAILABLE CUSTOMIZATIONS 182
13.6 RELATED REPORTS 182
13.7 AUTHOR DETAILS 184

 

LIST OF TABLES

TABLE 1 PRICE COMPARISON: AI CHIPSETS (LEADING COMPANIES) 46
TABLE 2 AI IN MANUFACTURING MARKET, BY OFFERING, 2015-2025 (USD MILLION) 53
TABLE 3 AI IN MANUFACTURING MARKET, BY HARDWARE, 2015-2025 (USD MILLION) 53
TABLE 4 AI IN MANUFACTURING MARKET FOR HARDWARE, BY REGION,
2015-2025 (USD MILLION) 54
TABLE 5 AI IN MANUFACTURING MARKET, BY PROCESSOR, 2015-2025 (USD MILLION) 55
TABLE 6 AI IN MANUFACTURING MARKET, BY PROCESSOR, 2015-2025 (THOUSAND UNITS) 55
TABLE 7 AI IN MANUFACTURING MARKET FOR OFFERING, BY SOFTWARE,
2015-2025 (USD MILLION) 58
TABLE 8 AI IN MANUFACTURING MARKET FOR SOFTWARE, BY REGION,
2015-2025 (USD MILLION) 59
TABLE 9 AI IN MANUFACTURING MARKET FOR SOLUTION, BY DEPLOYMENT,
2015-2025 (USD MILLION) 60
TABLE 10 AI IN MANUFACTURING MARKET FOR SOFTWARE, BY PLATFORM,
2015-2025 (USD MILLION) 61
TABLE 11 AI IN MANUFACTURING MARKET, BY SERVICES, 2015-2025 (USD MILLION) 62
TABLE 12 AI IN MANUFACTURING MARKET FOR SERVICES, BY REGION,
2015-2025 (USD MILLION) 63
TABLE 13 AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION) 67
TABLE 14 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY TYPE,
2015-2025 (USD MILLION) 67
TABLE 15 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY APPLICATION, 2015-2025 (USD MILLION) 68
TABLE 16 AI IN MANUFACTURING MARKET FOR NATURAL LANGUAGE PROCESSING,
BY APPLICATION, 2015-2025 (USD MILLION) 71
TABLE 17 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING,
BY TYPE, 2015-2025 (USD MILLION) 72
TABLE 18 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING,
BY APPLICATION, 2015-2025 (USD MILLION) 73
TABLE 19 AI IN MANUFACTURING MARKET FOR COMPUTER VISION, BY APPLICATION,
2015-2025 (USD MILLION) 74
TABLE 20 AI IN MANUFACTURING MARKET, BY APPLICATION, 2015-2025 (USD MILLION) 77
TABLE 21 AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY REGION, 2015-2025 (USD MILLION) 78
TABLE 22 AI IN MANUFACTURING MARKET FOR PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION, BY TECHNOLOGY, 2015-2025 (USD MILLION) 79
TABLE 23 AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY REGION,
2015-2025 (USD MILLION) 80
TABLE 24 AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT, BY TECHNOLOGY, 2015-2025 (USD MILLION) 81
TABLE 25 AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY REGION,
2015-2025 (USD MILLION) 82
TABLE 26 AI IN MANUFACTURING MARKET FOR PRODUCTION PLANNING, BY TECHNOLOGY, 2015-2025 (USD MILLION) 82
TABLE 27 AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY REGION,
2015-2025 (USD MILLION) 83
TABLE 28 AI IN MANUFACTURING MARKET FOR FIELD SERVICES, BY TECHNOLOGY,
2015-2025 (USD MILLION) 84
TABLE 29 AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY REGION,
2015-2025 (USD MILLION) 85
TABLE 30 AI IN MANUFACTURING MARKET FOR QUALITY CONTROL, BY TECHNOLOGY,
2015-2025 (USD MILLION) 86
TABLE 31 AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY REGION,
2015-2025 (USD MILLION) 87
TABLE 32 AI IN MANUFACTURING MARKET FOR CYBERSECURITY, BY TECHNOLOGY,
2015-2025 (USD MILLION) 87
TABLE 33 AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY REGION,
2015-2025 (USD MILLION) 89
TABLE 34 AI IN MANUFACTURING MARKET FOR INDUSTRIAL ROBOTS, BY TECHNOLOGY, 2015-2025 (USD MILLION) 89
TABLE 35 AI IN MANUFACTURING MARKET FOR RECLAMATION, BY REGION,
2015-2025 (USD MILLION) 90
TABLE 36 AI IN MANUFACTURING MARKET FOR RECLAMATION, BY TECHNOLOGY,
2015-2025 (USD MILLION) 90
TABLE 37 AI IN MANUFACTURING MARKET, BY INDUSTRY, 2015-2025 (USD MILLION) 93
TABLE 38 AI IN MANUFACTURING MARKET FOR AUTOMOBILE INDUSTRY, BY REGION,
2015-2025 (USD MILLION) 95
TABLE 39 AI IN MANUFACTURING MARKET FOR ENERGY AND POWER INDUSTRY, BY REGION, 2015-2025 (USD MILLION) 96
TABLE 40 AI IN MANUFACTURING MARKET FOR PHARMACEUTICALS INDUSTRY, BY REGION, 2015-2025 (USD MILLION) 97
TABLE 41 AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING INDUSTRY, BY REGION, 2015-2025 (USD MILLION) 99
TABLE 42 AI IN MANUFACTURING MARKET FOR SEMICONDUCTORS AND ELECTRONICS INDUSTRY, BY REGION, 2015-2025 (USD MILLION) 100
TABLE 43 AI IN MANUFACTURING MARKET FOR FOOD & BEVERAGES INDUSTRY,
BY REGION, 2015-2025 (USD MILLION) 101
TABLE 44 AI IN MANUFACTURING MARKET FOR OTHERS, BY REGION,
2015-2025 (USD MILLION) 102
TABLE 45 AI IN MANUFACTURING MARKET, BY REGION, 2015-2025 (USD MILLION) 105
TABLE 46 AI IN MANUFACTURING MARKET IN NORTH AMERICA, BY COUNTRY,
2015-2025 (USD MILLION) 107
TABLE 47 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR HARDWARE,
BY COUNTRY, 2015-2025 (USD MILLION) 107
TABLE 48 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SOFTWARE,
BY COUNTRY, 2015-2025 (USD MILLION) 107
TABLE 49 AI IN MANUFACTURING MARKET IN NORTH AMERICA FOR SERVICES, BY COUNTRY, 2015-2025 (USD MILLION) 108
TABLE 50 AI IN MANUFACTURING MARKET IN EUROPE, BY COUNTRY,
2015-2025(USD MILLION) 112
TABLE 51 AI IN MANUFACTURING MARKET IN EUROPE FOR HARDWARE, BY COUNTRY,
2015-2025 (USD MILLION) 113
TABLE 52 AI IN MANUFACTURING MARKET IN EUROPE FOR SOFTWARE, BY COUNTRY,
2015-2025 (USD MILLION) 113
TABLE 53 AI IN MANUFACTURING MARKET IN EUROPE FOR SERVICES, BY COUNTRY,
2015-2025 (USD MILLION) 114
TABLE 54 AI IN MANUFACTURING MARKET IN APAC, BY COUNTRY,
2015-2025 (USD MILLION) 119
TABLE 55 AI IN MANUFACTURING MARKET IN APAC FOR HARDWARE, BY COUNTRY,
2015-2025 (USD MILLION) 119
TABLE 56 AI IN MANUFACTURING MARKET IN APAC FOR SOFTWARE, BY COUNTRY,
2015-2025 (USD MILLION) 120
TABLE 57 AI IN MANUFACTURING MARKET IN APAC FOR SERVICES, BY COUNTRY,
2015-2025 (USD MILLION) 120
TABLE 58 AI IN MANUFACTURING MARKET IN ROW, BY REGION, 2015-2025 (USD MILLION) 124
TABLE 59 AI IN MANUFACTURING MARKET IN ROW FOR HARDWARE, BY REGION,
2015-2025 (USD MILLION) 125
TABLE 60 AI IN MANUFACTURING MARKET IN ROW FOR SOFTWARE, BY REGION,
2015-2025 (USD MILLION) 125
TABLE 61 AI IN MANUFACTURING MARKET IN ROW FOR SERVICES, BY REGION,
2015-2025 (USD MILLION) 126

 

LIST OF FIGURES

FIGURE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: RESEARCH DESIGN 22
FIGURE 2 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 29
FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 30
FIGURE 4 DATA TRIANGULATION 31
FIGURE 5 ASSUMPTIONS FOR THE RESEARCH STUDY 32
FIGURE 6 AI IN MANUFACTURING MARKET, BY OFFERING, 2018 VS. 2025 (USD MILLION) 34
FIGURE 7 AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2015-2025 (USD MILLION) 35
FIGURE 8 AI IN MANUFACTURING MARKET, BY APPLICATION, 2018 VS. 2025 (USD MILLION) 36
FIGURE 9 AI IN MANUFACTURING MARKET, BY INDUSTRY, 2018 VS. 2025 (USD MILLION) 37
FIGURE 10 AI IN MANUFACTURING MARKET, BY REGION, 2018 38
FIGURE 11 GROWING BIG DATA IN MANUFACTURING AND INCREASING INDUSTRIAL AUTOMATION ARE MAJOR FACTORS DRIVING MARKET GROWTH 39
FIGURE 12 SOFTWARE TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET DURING FORECAST PERIOD 40
FIGURE 13 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING TO HOLD LARGEST SIZE FROM 2018 TO 2025 40
FIGURE 14 CHINA TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN
2018 IN APAC 41
FIGURE 15 US TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN 2018 42
FIGURE 16 INCREASINGLY LARGE AND COMPLEX DATA SET AND INDUSTRY TRENDS SUCH AS IOT AND AUTOMATION ARE DRIVING MARKET GROWTH 44
FIGURE 17 AI IN MANUFACTURING MARKET VALUE CHAIN IN 2017 49
FIGURE 18 SOFTWARE TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET DURING FORECAST PERIOD 52
FIGURE 19 MARKET FOR GPU TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD 55
FIGURE 20 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR SOFTWARE FROM 2018 TO 2025 59
FIGURE 21 MACHINE LEARNING TO HOLD LARGEST MARKET SHARE OF AI IN MANUFACTURING MARKET IN 2018 AND 2025 66
FIGURE 22 QUALITY CONTROL TO WITNESS HIGHEST GROWTH THROUGHOUT FORECAST PERIOD 76
FIGURE 23 NORTH AMERICA TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR MATERIAL MOVEMENT IN 2018 80
FIGURE 24 NORTH AMERICA TO HOLD LARGEST SIZE OF AI MANUFACTURING MARKET FOR FIELD SERVICES DURING FORECAST PERIOD 83
FIGURE 25 MACHINE LEARNING TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR APPLICATION OF QUALITY CONTROL DURING 2018-2025 85
FIGURE 26 APAC TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET FOR APPLICATION OF INDUSTRIAL ROBOTS DURING 2018-2025 88
FIGURE 27 AUTOMOBILE HELD LARGEST SIZE OF AI IN MANUFACTURING MARKET IN 2018 93
FIGURE 28 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING FOR ENERGY AND POWER BY 2025 96
FIGURE 29 APAC TO HOLD LARGEST SIZE OF AI IN MANUFACTURING MARKET FOR HEAVY METALS AND MACHINE MANUFACTURING DURING FORECAST PERIOD 98
FIGURE 30 CHINA & US ARE EMERGING AS NEW HOT SPOTS IN AI IN MANUFACTURING MARKET 104
FIGURE 31 APAC TO DOMINATE AI IN MANUFACTURING MARKET DURING FORECAST PERIOD 105
FIGURE 32 NORTH AMERICA: SNAPSHOT OF AI IN MANUFACTURING MARKET 106
FIGURE 33 EUROPE: SNAPSHOT OF AI IN MANUFACTURING MARKET 111
FIGURE 34 GERMANY HELD LARGEST SHARE OF AI IN MANUFACTURING MARKET IN EUROPE FOR HARDWARE IN 2018 112
FIGURE 35 APAC: SNAPSHOT OF AI IN MANUFACTURING MARKET 118
FIGURE 36 ROW: SNAPSHOT OF AI IN MANUFACTURING MARKET 124
FIGURE 37 KEY DEVELOPMENTS ADOPTED BY TOP PLAYERS IN AI IN MANUFACTURING MARKET FROM 2016 TO 2018 127
FIGURE 38 RANKING OF KEY COMPANIES IN AI IN MANUFACTURING MARKET (2017) 128
FIGURE 39 BATTLE FOR MARKET SHARE: PRODUCT LAUNCH WAS KEY GROWTH STRATEGY FROM 2016 TO 2018 130
FIGURE 40 NVIDIA: COMPANY SNAPSHOT 136
FIGURE 41 INTEL: COMPANY SNAPSHOT 140
FIGURE 42 IBM: COMPANY SNAPSHOT 144
FIGURE 43 SIEMENS: COMPANY SNAPSHOT 149
FIGURE 44 GE: COMPANY SNAPSHOT 152
FIGURE 45 GOOGLE: COMPANY SNAPSHOT 155
FIGURE 46 MICROSOFT: COMPANY SNAPSHOT 159
FIGURE 47 MICRON TECHNOLOGY: COMPANY SNAPSHOT 162
FIGURE 48 AWS: COMPANY SNAPSHOT 165

 

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