Global Artificial Intelligence in the Manufacturing Sector Market – Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023

Artificial Intelligence in Manufacturing Market: Global Drivers, Restraints, Opportunities, Trends, and Forecasts up to 2023
Overview:
The manufacturing industry has seen dramatic changes in past decade and continues to undergo radical process changes in the delivery of its products. The advancement in technology and innovations are changing the market scenario and increasing the need of cost effectiveness and superior customer services. There is increasing need of implementation of technological innovations to the manufacturing processes and data to enable better decision plans, greater responsiveness to customer demands, improved product design and quality, and faster turnaround times.
Artificial Intelligence rely on large datasets, using statistical modelling and various technologies such as machine learning and natural language processing to generate insights from the manufacturing records, data, IT systems, stock control and order processing. AI uses electronic records (ER), machine produced data from apps and sensors, factory and equipment databases, which is then being applied to material technology, factory process control, customer and supplier relationship management, logistics and warehousing management, decision making and communication of process information. Besides cost and time efficiency, various other technologies are responsible for the integration of AI in manufacturing such as the growing cloud computing and robotics market.
Market Analysis:
According to Infoholic Research, AI in manufacturing market is estimated to be $330.5 million in 2017 and is expected to reach $4,012.5 million by 2023, growing at a CAGR of 51.6% during the forecast period 2017–2023. The leading adoption of internet of things, augmented reality, digitization and 3D printing are the major reasons contributing the adoption of technology in manufacturing.
Market Segmentation Analysis:
The report provides in-depth qualitative insights, historical data, and supportable projections and assumptions about the market size. The projections featured in the report have been derived using proven research methodologies and assumptions based on the vendor’s portfolio, blogs, whitepapers, and vendors presentations. Thus, the research report serves every side of the market and is segmented based on regional markets, technology type, applications, and end-user verticals.
Regions and Vendors Analysis:
The report contains an in-depth analysis of the vendor profiles, which include financial health, business units, key business priorities, SWOT, strategy, and views; and competitive landscape. The key and the prominent vendors covered in the report include Google Inc., Microsoft Corporation, IBM, Apple Inc., Preferred Networks, Inc., Skymind, Inc. and others. The vendors have been identified based on the portfolio, geographical presence, marketing & distribution channels, revenue generation, and significant investments in R&D.
The regions covered in report are North America, Europe, Asia Pacific, Latin America and Middle East and Africa. The revenue is generated mainly from North America, Europe, and Asia Pacific. North America is leading the market followed by Europe with Asia Pacific emerging in AI in manufacturing market.
Benefits
The report provides an in-depth analysis of the Global Artificial Intelligence in Manufacturing Market aiming to reduce time to market for products and services, reduce operational cost, improve accuracy, and operational performance. The major driving forces for Artificial Intelligence are the supplemental technologies such as cloud computing, cognitive analytics, and the need to shift towards cost effective solutions to make decisions in different sectors. The report discusses about technology types, applications, and regions. Furthermore, the report provides details about the major challenges impacting the market growth.

Table of Contents

1 Industry Outlook 10
1.1 Industry Overview 10
1.2 Industry Trends 11
1.3 Pest Analysis 12
2 Report Outline 13
2.1 Report Scope 13
2.2 Report Summary 13
2.3 Research Methodology 14
2.4 Report Assumptions 15
3 Market Snapshot 16
3.1 Total Addressable Market (TAM) 16
3.2 Segmented Addressable Market (SAM) 17
3.3 Related Markets 18
3.3.1 mHealth Market 18
3.3.2 Cognitive Analytics 18
4 Market Outlook 19
4.1 Overview 19
4.2 Market Trends 19
4.3 Market Definition 20
4.4 Porter 5 (Five) Forces 20
5 Market Characteristics 22
5.1 Market Dynamics 22
5.1.1 Drivers 23
5.1.1.1 Business process efficiency and lower operational costs 23
5.1.1.2 Need for on-time deliveries and instant go to market timings 23
5.1.1.3 Digitization in manufacturing leading to hyper customization 23
5.1.1.4 Growing demand for convenience and safety 23
5.1.2 Restraints 24
5.1.2.1 Compliance with privacy and data security regulations 24
5.1.2.2 Increased automation will lead to job losses and can create social tensions 24
5.1.2.3 Shortage of industry regulations and standards 24
5.1.2.4 Hindrances in adoption of technology 24
5.1.3 Opportunities 24
5.1.3.1 Increasing investment in AI 24
5.1.3.2 Growing amount of data in manufacturing 25
5.1.3.3 Growth of assisted driving 25
5.1.4 DRO – Impact Analysis 26
5.2 Market Segmentation 27
6 Technology 28
6.1 Overview 28
6.2 Computer Vision 29
6.2.1 Market Size and Analysis 29
6.3 Deep Learning 30
6.3.1 Market Size and Analysis 30
6.4 Natural Language Processing 30
6.4.1 Market Size and Analysis 31
6.5 Context Awareness 31
6.5.1 Market Size and Analysis 31
7 Applications 33
7.1 Overview 33
7.2 Predictive Maintenance and Machinery Inspection 34
7.2.1 Market Size and Analysis 34
7.3 Material Movement 35
7.3.1 Market Size and Analysis 35
7.4 Production Planning 35
7.4.1 Market Size and Analysis 36
7.5 Field Services 36
7.5.1 Market Size and Analysis 37
7.6 Quality Control 37
7.6.1 Market Size and Analysis 37
7.7 Reclamation 38
7.7.1 Market Size and Analysis 38
8 End-User Verticals 40
8.1 Overview 40
8.2 Automobile 41
8.2.1 Market Size and Analysis 41
8.3 Energy and Power 42
8.3.1 Market Size and Analysis 42
8.4 Pharmaceuticals 42
8.4.1 Market Size and Analysis 43
8.5 Heavy Metals and Machine Manufacturing 44
8.5.1 Market Size and Analysis 44
8.6 Semiconductor and Electronics 44
8.6.1 Market Size and Analysis 45
8.7 Others 45
8.7.1 Market Size and Analysis 46
9 Regions 48
9.1 Overview 48
9.2 North America 48
9.2.1 Market Size and Analysis 49
9.2.2 DRO for North America 49
9.3 Europe 52
9.3.1 Market Size and Analysis 52
9.3.2 DRO for Europe 52
9.4 APAC 55
9.4.1 Market Size and Analysis 55
9.4.2 DRO for APAC 55
9.5 LAMEA 58
9.5.1 Market Size and Analysis 58
9.5.2 DRO for LAMEA 58
10 Vendors 61
10.1 IBM Corporation 61
10.1.1 Overview 61
10.1.2 Business segments 62
10.1.3 Geographic Revenue 62
10.1.4 Business Focus 63
10.1.5 SWOT Analysis 63
10.1.6 Business Strategy 64
10.2 Google Inc. 66
10.2.1 Overview 66
10.2.2 Business segments 67
10.2.3 Geographic Revenue 67
10.2.4 Business Focus 68
10.2.5 SWOT Analysis 68
10.2.6 Business Strategy 69
10.3 Microsoft 70
10.3.1 Overview 70
10.3.2 Business Segments 71
10.3.3 Geographic Revenue 71
10.3.4 Business Focus 72
10.3.5 SWOT Analysis 72
10.3.6 Business Strategy 73
10.4 Apple Inc. 74
10.4.1 Overview 74
10.4.2 Business Segments 75
10.4.3 Geographic Revenue 76
10.4.4 Business Focus 77
10.4.5 SWOT Analysis 77
10.4.6 Business Strategy 78
10.5 Dell 79
10.5.1 Overview 79
10.5.2 Business Focus 79
10.5.3 SWOT Analysis 79
10.5.4 Business Strategy 80
11 Companies to Watch For 81
11.1 Preferred Networks, Inc. 81
11.1.1 Overview 81
11.2 Vicarious Inc. 81
11.2.1 Overview 81
11.3 Skymind, Inc. 82
11.3.1 Overview 82
11.4 Citrine Informatics 82
11.4.1 Overview 82
11.5 UBTECH Robotics, Inc. 83
11.5.1 Overview 83
Annexure 84
 Abbreviations 84

List of Tables

TABLE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION) 28
TABLE 2 ARTIFICIAL INTELLIGENCE MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION) 33
TABLE 3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET REVENUE BY END-USER VERTICALS, 2017-2023 ($MILLION) 40
TABLE 4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE BY REGIONS, 2017-2023 ($MILLION) 48
TABLE 5 DRO FOR NORTH AMERICA 49
TABLE 6 NORTH AMERICAS MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION) 50
TABLE 7 NORTH AMERICAS MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION) 50
TABLE 8 NORTH AMERICAS MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION) 50
TABLE 9 DRO FOR EUROPE 52
TABLE 10 EUROPE MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION) 53
TABLE 11 EUROPE MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION) 53
TABLE 12 EUROPE MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION) 54
TABLE 13 DRO FOR APAC 55
TABLE 14 APAC MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION) 56
TABLE 15 APAC MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION) 56
TABLE 16 APAC MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION) 57
TABLE 17 DRO FOR LAMEA 58
TABLE 18 LAMEA MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION) 59
TABLE 19 LAMEA MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION) 59
TABLE 20 LAMEA MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION) 60

List of Charts

CHART 1 PEST ANALYSIS OF AI IN MANUFACTURING MARKET 12
CHART 2 RESEARCH METHODOLOGY OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET 14
CHART 3 ARTIFICIAL INTELLIGENCE MARKET REVENUE, 2017–2023 ($BILLION) 16
CHART 4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET REVENUE, 2017–2023 ($MILLION) 17
CHART 5 PORTERS 5 FORCES ON AI IN MANUFACTURING MARKET 20
CHART 6 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES 22
CHART 7 DRO - IMPACT ANALYSIS OF AI IN MANUFACTURING MARKET 26
CHART 8 AI IN MANUFACTURING MARKET SEGMENTATION 27
CHART 9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE BY TECHNOLOGIES, 2017 AND 2023 28
CHART 10 COMPUTER VISION MARKET REVENUE, 2017-2023 ($MILLION) 29
CHART 11 DEEP LEARNING MARKET REVENUE, 2017-2023 ($MILLION) 30
CHART 12 NATURAL LANGUAGE PROCESSING MARKET REVENUE, 2017-2023 ($MILLION) 31
CHART 13 CONTEXT AWARENESS MARKET REVENUE, 2017-2023 ($MILLION) 31
CHART 14 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE BY APPLICATIONS, 2017 AND 2023 33
CHART 15 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION MARKET REVENUE, 2017-2023 ($MILLION) 34
CHART 16 MATERIAL MOVEMENT MARKET REVENUE, 2017-2023 ($MILLION) 35
CHART 17 PRODUCTION PLANNING MARKET REVENUE, 2017-2023 ($MILLION) 36
CHART 18 FIELD SERVICES MARKET REVENUE, 2017-2023 ($MILLION) 37
CHART 19 QUALITY CONTROL MARKET REVENUE, 2017-2023 ($MILLION) 38
CHART 20 RECLAMATION MARKET REVENUE, 2017-2023 ($MILLION) 38
CHART 21 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE BY END-USER VERTICALS, 2017 AND 2023 40
CHART 22 AUTOMOBILE MARKET REVENUE, 2017-2023($MILLION) 41
CHART 23 ENERGY AND POWER MARKET REVENUE, 2017-2023($MILLION) 42
CHART 24 PHARMACEUTICALS MARKET REVENUE, 2017-2023 ($MILLION) 43
CHART 25 HEAVY METALS AND MACHINE MANUFACTURING MARKET REVENUE, 2017-2023 ($MILLION) 44
CHART 26 SEMICONDUCTOR AND ELECTRONICS MARKET REVENUE, 2017-2023 ($MILLION) 45
CHART 27 OTHERS MARKET REVENUE, 2017-2023 ($MILLION) 46
CHART 28 NORTH AMERICAS MARKET REVENUE, 2017-2023 ($MILLION) 49
CHART 29 EUROPE MARKET REVENUE,2017-2023 ($MILLION) 52
CHART 30 APAC MARKET REVENUE,2017-2023 ($MILLION) 55
CHART 31 LAMEA MARKET REVENUE,2017-2023 ($MILLION) 58
CHART 32 IBM MARKET OVERVIEW SNAPSHOT 61
CHART 33 IBM BUSINESS SEGMENTS 62
CHART 34 IBM GEOGRAPHIC REVENUE 62
CHART 35 IBM SWOT ANALYSIS 63
CHART 36 GOOGLE MARKET OVERVIEW SNAPSHOT 66
CHART 37 GOOGLE BUSINESS SEGMENTS 67
CHART 38 GOOGLE GEOGRAPHIC REVENUE 67
CHART 39 GOOGLE SWOT ANALYSIS 68
CHART 40 MICROSOFT MARKET OVERVIEW SNAPSHOT 70
CHART 41 MICROSOFT BUSINESS SEGMENTS 71
CHART 42 MICROSOFT GEOGRAPHIC REVENUE 71
CHART 43 MICROSOFT SWOT ANALYSIS 72
CHART 44 APPLE MARKET OVERVIEW SNAPSHOT 74
CHART 45 APPLE BUSINESS SEGMENTS 75
CHART 46 APPLE GEOGRAPHIC REVENUE 76
CHART 47 APPLE SWOT ANALYSIS 77
CHART 48 DELL MARKET OVERVIEW SNAPSHOT 79
CHART 49 DELL SWOT ANALYSIS 79