Global Artificial Intelligence in Manufacturing Market (By Technology; By Applications; By End-User Verticals; and By Regions) Forecasts to 2023.
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.
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.
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.
1 Industry Outlook
1.1 Industry Overview
1.2 Industry Trends
1.3 Pest Analysis
2 Report Outline
2.1 Report Scope
2.2 Report Summary
2.3 Research Methodology
2.4 Report Assumptions
3 Market Snapshot
3.1 Total Addressable Market (TAM)
3.2 Segmented Addressable Market (SAM)
3.3 Related Markets
3.3.1 mHealth Market
3.3.2 Cognitive Analytics
4 Market Outlook
4.2 Market Trends
4.3 Market Definition
4.4 Porter 5 (Five) Forces
5 Market Characteristics
5.1 Market Dynamics
220.127.116.11 Business process efficiency and lower operational costs
18.104.22.168 Need for on-time deliveries and instant go to market timings
22.214.171.124 Digitization in manufacturing leading to hyper customization
126.96.36.199 Growing demand for convenience and safety
188.8.131.52 Compliance with privacy and data security regulations
184.108.40.206 Increased automation will lead to job losses and can create social tensions
220.127.116.11 Shortage of industry regulations and standards
18.104.22.168 Hindrances in adoption of technology
22.214.171.124 Increasing investment in AI
126.96.36.199 Growing amount of data in manufacturing
188.8.131.52 Growth of assisted driving
5.1.4 DRO – Impact Analysis
5.2 Market Segmentation
6.2 Computer Vision
6.2.1 Market Size and Analysis
6.3 Deep Learning
6.3.1 Market Size and Analysis
6.4 Natural Language Processing
6.4.1 Market Size and Analysis
6.5 Context Awareness
6.5.1 Market Size and Analysis
7.2 Predictive Maintenance and Machinery Inspection
7.2.1 Market Size and Analysis
7.3 Material Movement
7.3.1 Market Size and Analysis
7.4 Production Planning
7.4.1 Market Size and Analysis
7.5 Field Services
7.5.1 Market Size and Analysis
7.6 Quality Control
7.6.1 Market Size and Analysis
7.7.1 Market Size and Analysis
8 End-User Verticals
8.2.1 Market Size and Analysis
8.3 Energy and Power
8.3.1 Market Size and Analysis
8.4.1 Market Size and Analysis
8.5 Heavy Metals and Machine Manufacturing
8.5.1 Market Size and Analysis
8.6 Semiconductor and Electronics
8.6.1 Market Size and Analysis
8.7.1 Market Size and Analysis
9.2 North America
9.2.1 Market Size and Analysis
9.2.2 DRO for North America
9.3.1 Market Size and Analysis
9.3.2 DRO for Europe
9.4.1 Market Size and Analysis
9.4.2 DRO for APAC
9.5.1 Market Size and Analysis
9.5.2 DRO for LAMEA
10.1 IBM Corporation
10.1.2 Business segments
10.1.3 Geographic Revenue
10.1.4 Business Focus
10.1.5 SWOT Analysis
10.1.6 Business Strategy
10.2 Google Inc.
10.2.2 Business segments
10.2.3 Geographic Revenue
10.2.4 Business Focus
10.2.5 SWOT Analysis
10.2.6 Business Strategy
10.3.2 Business Segments
10.3.3 Geographic Revenue
10.3.4 Business Focus
10.3.5 SWOT Analysis
10.3.6 Business Strategy
10.4 Apple Inc.
10.4.2 Business Segments
10.4.3 Geographic Revenue
10.4.4 Business Focus
10.4.5 SWOT Analysis
10.4.6 Business Strategy
10.5.2 Business Focus
10.5.3 SWOT Analysis
10.5.4 Business Strategy
11 Companies to Watch For
11.1 Preferred Networks, Inc.
11.2 Vicarious Inc.
11.3 Skymind, Inc.
11.4 Citrine Informatics
11.5 UBTECH Robotics, Inc.
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
Infoholic Research works on a holistic 360° approach in order to deliver high quality, validated and reliable information in our market reports. The Market estimation and forecasting involves following steps:
- Data Collation (Primary & Secondary)
- In-house Estimation (Based on proprietary data bases and Models)
- Market Triangulation
Market related information is congregated from both primary and secondary sources.
Involved participants from all global stakeholders such as Solution providers, service providers, Industry associations, thought leaders etc. across levels such as CXOs, VPs and managers. Plus, our in-house industry experts having decades of industry experience contribute their consulting and advisory services.
Include public sources such as regulatory frameworks, government IT spending, government demographic indicators, industry association statistics, and company publications along with paid sources such as Factiva, OneSource, Bloomberg among others.