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

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 t2023

Overview:

The manufacturing industry has seen dramatic changes in past decade and continues tundergradical process changes in the delivery of its products. The advancement in technology and innovations are changing the market scenariand increasing the need of cost effectiveness and superior customer services. There is increasing need of implementation of technological innovations tthe manufacturing processes and data tenable better decision plans, greater responsiveness tcustomer 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 tgenerate 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 tmaterial 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 tInfoholic Research, AI in manufacturing market is estimated tbe $330.5 million in 2017 and is expected treach $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 treduce time tmarket 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 tshift towards cost effective solutions tmake 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
4.1 Overview
4.2 Market Trends
4.3 Market Definition
4.4 Porter 5 (Five) Forces
5 Market Characteristics
5.1 Market Dynamics
5.1.1 Drivers
5.1.1.1 Business process efficiency and lower operational costs
5.1.1.2 Need for on-time deliveries and instant go to market timings
5.1.1.3 Digitization in manufacturing leading to hyper customization
5.1.1.4 Growing demand for convenience and safety
5.1.2 Restraints
5.1.2.1 Compliance with privacy and data security regulations
5.1.2.2 Increased automation will lead to job losses and can create social tensions
5.1.2.3 Shortage of industry regulations and standards
5.1.2.4 Hindrances in adoption of technology
5.1.3 Opportunities
5.1.3.1 Increasing investment in AI
5.1.3.2 Growing amount of data in manufacturing
5.1.3.3 Growth of assisted driving
5.1.4 DRO – Impact Analysis
5.2 Market Segmentation
6 Technology
6.1 Overview
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 Applications
7.1 Overview
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 Reclamation
7.7.1 Market Size and Analysis
8 End-User Verticals
8.1 Overview
8.2 Automobile
8.2.1 Market Size and Analysis
8.3 Energy and Power
8.3.1 Market Size and Analysis
8.4 Pharmaceuticals
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 Others
8.7.1 Market Size and Analysis
9 Regions
9.1 Overview
9.2 North America
9.2.1 Market Size and Analysis
9.2.2 DRO for North America
9.3 Europe
9.3.1 Market Size and Analysis
9.3.2 DRO for Europe
9.4 APAC
9.4.1 Market Size and Analysis
9.4.2 DRO for APAC
9.5 LAMEA
9.5.1 Market Size and Analysis
9.5.2 DRO for LAMEA
10 Vendors
10.1 IBM Corporation
10.1.1 Overview
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.
10.2.1 Overview
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 Microsoft
10.3.1 Overview
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.
10.4.1 Overview
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 Dell
10.5.1 Overview
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.
11.1.1 Overview
11.2 Vicarious Inc.
11.2.1 Overview
11.3 Skymind, Inc.
11.3.1 Overview
11.4 Citrine Informatics
11.4.1 Overview
11.5 UBTECH Robotics, Inc.
11.5.1 Overview
Annexure
Abbreviations
Tables
TABLE 1 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION)
TABLE 2 ARTIFICIAL INTELLIGENCE MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION)
TABLE 3 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET REVENUE BY END-USER VERTICALS, 2017-2023 ($MILLION)
TABLE 4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SIZE BY REGIONS, 2017-2023 ($MILLION)
TABLE 5 DRO FOR NORTH AMERICA
TABLE 6 NORTH AMERICAS MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION)
TABLE 7 NORTH AMERICAS MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION)
TABLE 8 NORTH AMERICAS MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION)
TABLE 9 DRO FOR EUROPE
TABLE 10 EUROPE MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION)
TABLE 11 EUROPE MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION)
TABLE 12 EUROPE MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION)
TABLE 13 DRO FOR APAC
TABLE 14 APAC MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION)
TABLE 15 APAC MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION)
TABLE 16 APAC MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION)
TABLE 17 DRO FOR LAMEA
TABLE 18 LAMEA MARKET REVENUE BY TECHNOLOGY, 2017-2023 ($MILLION)
TABLE 19 LAMEA MARKET REVENUE BY APPLICATIONS, 2017-2023 ($MILLION)
TABLE 20 LAMEA MARKET REVENUE BY VERTICALS, 2017-2023 ($MILLION)
Charts
CHART 1 PEST ANALYSIS OF AI IN MANUFACTURING MARKET
CHART 2 RESEARCH METHODOLOGY OF ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET
CHART 3 ARTIFICIAL INTELLIGENCE MARKET REVENUE, 2017–2023 ($BILLION)
CHART 4 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET REVENUE, 2017–2023 ($MILLION)
CHART 5 PORTERS 5 FORCES ON AI IN MANUFACTURING MARKET
CHART 6 MARKET DYNAMICS – DRIVERS, RESTRAINTS & OPPORTUNITIES
CHART 7 DRO - IMPACT ANALYSIS OF AI IN MANUFACTURING MARKET
CHART 8 AI IN MANUFACTURING MARKET SEGMENTATION
CHART 9 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE BY TECHNOLOGIES, 2017 AND 2023
CHART 10 COMPUTER VISION MARKET REVENUE, 2017-2023 ($MILLION)
CHART 11 DEEP LEARNING MARKET REVENUE, 2017-2023 ($MILLION)
CHART 12 NATURAL LANGUAGE PROCESSING MARKET REVENUE, 2017-2023 ($MILLION)
CHART 13 CONTEXT AWARENESS MARKET REVENUE, 2017-2023 ($MILLION)
CHART 14 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE BY APPLICATIONS, 2017 AND 2023
CHART 15 PREDICTIVE MAINTENANCE AND MACHINERY INSPECTION MARKET REVENUE, 2017-2023 ($MILLION)
CHART 16 MATERIAL MOVEMENT MARKET REVENUE, 2017-2023 ($MILLION)
CHART 17 PRODUCTION PLANNING MARKET REVENUE, 2017-2023 ($MILLION)
CHART 18 FIELD SERVICES MARKET REVENUE, 2017-2023 ($MILLION)
CHART 19 QUALITY CONTROL MARKET REVENUE, 2017-2023 ($MILLION)
CHART 20 RECLAMATION MARKET REVENUE, 2017-2023 ($MILLION)
CHART 21 ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET SHARE BY END-USER VERTICALS, 2017 AND 2023
CHART 22 AUTOMOBILE MARKET REVENUE, 2017-2023($MILLION)
CHART 23 ENERGY AND POWER MARKET REVENUE, 2017-2023($MILLION)
CHART 24 PHARMACEUTICALS MARKET REVENUE, 2017-2023 ($MILLION)
CHART 25 HEAVY METALS AND MACHINE MANUFACTURING MARKET REVENUE, 2017-2023 ($MILLION)
CHART 26 SEMICONDUCTOR AND ELECTRONICS MARKET REVENUE, 2017-2023 ($MILLION)
CHART 27 OTHERS MARKET REVENUE, 2017-2023 ($MILLION)
CHART 28 NORTH AMERICAS MARKET REVENUE, 2017-2023 ($MILLION)
CHART 29 EUROPE MARKET REVENUE,2017-2023 ($MILLION)
CHART 30 APAC MARKET REVENUE,2017-2023 ($MILLION)
CHART 31 LAMEA MARKET REVENUE,2017-2023 ($MILLION)
CHART 32 IBM MARKET OVERVIEW SNAPSHOT
CHART 33 IBM BUSINESS SEGMENTS
CHART 34 IBM GEOGRAPHIC REVENUE
CHART 35 IBM SWOT ANALYSIS
CHART 36 GOOGLE MARKET OVERVIEW SNAPSHOT
CHART 37 GOOGLE BUSINESS SEGMENTS
CHART 38 GOOGLE GEOGRAPHIC REVENUE
CHART 39 GOOGLE SWOT ANALYSIS
CHART 40 MICROSOFT MARKET OVERVIEW SNAPSHOT
CHART 41 MICROSOFT BUSINESS SEGMENTS
CHART 42 MICROSOFT GEOGRAPHIC REVENUE
CHART 43 MICROSOFT SWOT ANALYSIS
CHART 44 APPLE MARKET OVERVIEW SNAPSHOT
CHART 45 APPLE BUSINESS SEGMENTS
CHART 46 APPLE GEOGRAPHIC REVENUE
CHART 47 APPLE SWOT ANALYSIS
CHART 48 DELL MARKET OVERVIEW SNAPSHOT
CHART 49 DELL SWOT ANALYSIS

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