Artificial Intelligence (AI) in Manufacturing Market Size, Share, Growth and Global Industry Analysis By Type & Application, Regional Insights and Forecast to 2024-2032
Growth Factors of AI in Manufacturing Market
The AI in manufacturing market size was valued at USD 8.14 billion in 2019, and the market is now projected to grow USD 695.16 billion in 2032 exhibiting a CAGR of 37.7% during the forecast period of 2020-2032.
The COVID-19 has appreciably impacted companies, especially those counting on a body of workers to pressure results. Many manufacturing groups faced transient closures, deliver shortages, or challenges in assembly demand due to constrained operations. The pandemic highlighted the issue of coping with manufacturing methods remotely, as on-web page presence is crucial. As a result, groups in the zone skilled each monetary stress and operational disruption.
Manufacturers across industries like chemical, automotive, and electronics are increasingly adopting AI and gadget gaining knowledge of to optimize production. These technologies help decrease resource and energy consumption by using constructing statistical fashions from facts along with sensor readings and material inputs. AI and ML permit manufacturers to predict correct product parameters, lowering waste and charges. As a result, corporations could make manufacturing extra value-effective whilst improving performance.
Recent advancements in AI have significantly stepped forward Cobots, making them more well suited, safer, and fee-powerful for dynamic places of work like production. Innovations in robotics, which include AI integration and computer vision, allow Cobots to locate flaws and are expecting dangers, improving safety. These Cobots are an increasing number of used for repetitive and perilous responsibilities, enhancing efficiency and lowering chance for human employees. The result is safer, more efficient work surroundings.
Comprehensive Analysis of AI in Manufacturing Market
The AI in manufacturing market growth is also increasing exponentially because of the segmentation of its market. This market expansion rightly provides a thorough market breakdown near to the industry considering the leading supply and demand forces. These segmentations are methodically segregated by offering analysis, by technology analysis, by application analysis and by industry analysis. By offering analysis incudes hardware, software, and services. By technology analysis incudes computer vision, machine learning, natural language processing, and context awareness. By application analysis incudes process control, production planning, predictive maintenance & machinery inspection, logistics and inventory management, quality management, and others. By industry analysis incudes automotive, medical devices, semiconductor & electronics, energy & power, heavy metal & machine manufacturing, and others (Aerospace &Defense, Conglomerates, etc.).
The Asia Pacific region lead the AI in manufacturing market share by benefitting a market size of USD 0.69 billion in 2019 due to investing in artificial intelligence.
Top players in the market have their responsibility of machinery and equipment industrial prospectus growth of the retailing industry and the markets. These players include, Microsoft Corporation, Google LLC, IBM Corporation, Amazon.com Inc., NVIDIA Corporation, Siemens AG, GENERAL ELECTRIC, SAP SE, Rockwell Automation, Inc., Mitsubishi Electric Corporation these market players provide a level-playing competitive landscape.
In November 2023, Netweb announced it is a manufacturing partner for the NVIDIA GH200 Grace Hopper Superchip and Grace CPU Superchip MGX server designs, planning to develop over ten server versions under its Tyrone range for high-performance computing and AI applications.
Segmentation Table
ATTRIBUTE DETAILS
Study Period 2016–2027
Base Year 2019
Forecast Period 2020–2027
Historical Period 2016– 2018
Unit Value (USD billion)
SegmentationBy Offering
Hardware
Software
Services
By Technology
Computer Vision
Machine Learning
Natural Language Processing
Context Awareness
By Application
Process Control
Production Planning
Predictive Maintenance & Machinery Inspection
Logistics and Inventory Management
Quality Management
Others
By Industry
Automotive
Medical Devices
Semiconductor & Electronics
Energy & Power
Heavy Metal & Machine Manufacturing
Others (Aerospace &Defense, Conglomerates, etc.,)
By Region
North America (U.S. and Canada)
Europe (U.K., Germany, France, Spain and Rest of Europe)
Asia Pacific (Japan, China, India, Southeast Asia and Rest of Asia Pacific)
Middle East & Africa (South Africa, GCC and Rest of Middle East & Africa)
Latin America (Brazil, Mexico and Rest of Latin America)
- 1. Introduction
- 1.1. Definition, By Segment
- 1.2. Research Approach
- 1.3. Sources
- 2. Executive Summary
- 3. Market Dynamics
- 3.1. Drivers, Restraints and Opportunities
- 3.2. Emerging Trends
- 4. Key Insights
- 4.1. Macro and Micro Economic Indicators
- 4.2. Consolidated SWOT Analysis of Key Players
- 4.3. Porter’s Five Forces Analysis
- 5. Global AI in Manufacturing Market Analysis, Insights and Forecast, 2016-2027
- 5.1. Key Findings / Summary
- 5.2. Market Size Estimates and Forecasts
- 5.2.1. By Offering
- 5.2.1.1. Hardware
- 5.2.1.2. Software
- 5.2.1.3. Services
- 5.2.2. By Technology (Value)
- 5.2.2.1. Computer Vision
- 5.2.2.2. Machine Learning
- 5.2.2.3. Natural Language Processing
- 5.2.2.4. Context Awareness
- 5.2.3. By Application (Value)
- 5.2.3.1. Process Control
- 5.2.3.2. Production Planning
- 5.2.3.3. Predictive Maintenance & Machinery Inspection
- 5.2.3.4. Logistics and Inventory Management
- 5.2.3.5. Quality Management
- 5.2.3.6. Others
- 5.2.4. By Industry (Value)
- 5.2.4.1. Automotive
- 5.2.4.2. Medical Devices
- 5.2.4.3. Semiconductor & Electronics
- 5.2.4.4. Energy & Power
- 5.2.4.5. Heavy Metal & Machine Manufacturing
- 5.2.4.6. Others (Aerospace & Defense, Conglomerates, etc.,)
- 5.2.5. By Geography (Value)
- 5.2.5.1. North America
- 5.2.5.2. Europe
- 5.2.5.3. Asia Pacific
- 5.2.5.4. Middle East and Africa
- 5.2.5.5. Latin America
- 6. North America AI in Manufacturing Market Analysis, Insights and Forecast, 2016-2027
- 6.1. Key Findings / Summary
- 6.2. Market Size Estimates and Forecasts
- 6.2.1. By Offering
- 6.2.1.1. Hardware
- 6.2.1.2. Software
- 6.2.1.3. Services
- 6.2.2. By Technology (Value)
- 6.2.2.1. Computer Vision
- 6.2.2.2. Machine Learning
- 6.2.2.3. Natural Language Processing
- 6.2.2.4. Context Awareness
- 6.2.3. By Application (Value)
- 6.2.3.1. Process Control
- 6.2.3.2. Production Planning
- 6.2.3.3. Predictive Maintenance & Machinery Inspection
- 6.2.3.4. Logistics and Inventory Management
- 6.2.3.5. Quality Management
- 6.2.3.6. Others
- 6.2.4. By Industry (Value)
- 6.2.4.1. Automotive
- 6.2.4.2. Medical Devices
- 6.2.4.3. Semiconductor & Electronics
- 6.2.4.4. Energy & Power
- 6.2.4.5. Heavy Metal & Machine Manufacturing
- 6.2.4.6. Others (Aerospace & Defense, Conglomerates, etc.,)
- 6.2.5. By Country (Value)
- 6.2.5.1. U.S.
- 6.2.5.2. Canada
- 7. Europe AI in Manufacturing Market Analysis, Insights and Forecast, 2016-2027
- 7.1. Key Findings / Summary
- 7.2. Market Size Estimates and Forecasts
- 7.2.1. By Offering
- 7.2.1.1. Hardware
- 7.2.1.2. Software
- 7.2.1.3. Services
- 7.2.2. By Technology (Value)
- 7.2.2.1. Computer Vision
- 7.2.2.2. Machine Learning
- 7.2.2.3. Natural Language Processing
- 7.2.2.4. Context Awareness
- 7.2.3. By Application (Value)
- 7.2.3.1. Process Control
- 7.2.3.2. Production Planning
- 7.2.3.3. Predictive Maintenance & Machinery Inspection
- 7.2.3.4. Logistics and Inventory Management
- 7.2.3.5. Quality Management
- 7.2.3.6. Others
- 7.2.4. By Industry (Value)
- 7.2.4.1. Automotive
- 7.2.4.2. Medical Devices
- 7.2.4.3. Semiconductor & Electronics
- 7.2.4.4. Energy & Power
- 7.2.4.5. Heavy Metal & Machine Manufacturing
- 7.2.4.6. Others (Aerospace & Defense, Conglomerates, etc.,)
- 7.2.5. By Country (Value)
- 7.2.5.1. Germany
- 7.2.5.2. UK
- 7.2.5.3. France
- 7.2.5.4. Spain
- 7.2.5.5. Rest of Europe
- 8. Asia Pacific AI in Manufacturing Market Analysis, Insights and Forecast, 2016-2027
- 8.1. Key Findings / Summary
- 8.2. Market Size Estimates and Forecasts
- 8.2.1. By Offering
- 8.2.1.1. Hardware
- 8.2.1.2. Software
- 8.2.1.3. Services
- 8.2.2. By Technology (Value)
- 8.2.2.1. Computer Vision
- 8.2.2.2. Machine Learning
- 8.2.2.3. Natural Language Processing
- 8.2.2.4. Context Awareness
- 8.2.3. By Application (Value)
- 8.2.3.1. Process Control
- 8.2.3.2. Production Planning
- 8.2.3.3. Predictive Maintenance & Machinery Inspection
- 8.2.3.4. Logistics and Inventory Management
- 8.2.3.5. Quality Management
- 8.2.3.6. Others
- 8.2.4. By Industry (Value)
- 8.2.4.1. Automotive
- 8.2.4.2. Medical Devices
- 8.2.4.3. Semiconductor & Electronics
- 8.2.4.4. Energy & Power
- 8.2.4.5. Heavy Metal & Machine Manufacturing
- 8.2.4.6. Others (Aerospace & Defense, Conglomerates, etc.,)
- 8.2.5. By Country (Value)
- 8.2.5.1. China
- 8.2.5.2. Japan
- 8.2.5.3. India
- 8.2.5.4. Southeast Asia
- 8.2.5.5. Rest of APAC
- 9. Middle East and Africa AI in Manufacturing Market Analysis, Insights and Forecast, 2016-2027
- 9.1. Key Findings / Summary
- 9.2. Market Size Estimates and Forecasts
- 9.2.1. By Offering
- 9.2.1.1. Hardware
- 9.2.1.2. Software
- 9.2.1.3. Services
- 9.2.2. By Technology (Value)
- 9.2.2.1. Computer Vision
- 9.2.2.2. Machine Learning
- 9.2.2.3. Natural Language Processing
- 9.2.2.4. Context Awareness
- 9.2.3. By Application (Value)
- 9.2.3.1. Process Control
- 9.2.3.2. Production Planning
- 9.2.3.3. Predictive Maintenance & Machinery Inspection
- 9.2.3.4. Logistics and Inventory Management
- 9.2.3.5. Quality Management
- 9.2.3.6. Others
- 9.2.4. By Industry (Value)
- 9.2.4.1. Automotive
- 9.2.4.2. Medical Devices
- 9.2.4.3. Semiconductor & Electronics
- 9.2.4.4. Energy & Power
- 9.2.4.5. Heavy Metal & Machine Manufacturing
- 9.2.4.6. Others (Aerospace & Defense, Conglomerates, etc.,)
- 9.2.5. By Country (Value)
- 9.2.5.1. South Africa
- 9.2.5.2. GCC
- 9.2.5.3. Rest of MEA
- 10. Latin America AI in Manufacturing Market Analysis, Insights and Forecast, 2016-2027
- 10.1. Key Findings / Summary
- 10.2. Market Size Estimates and Forecasts
- 10.2.1. By Offering
- 10.2.1.1. Hardware
- 10.2.1.2. Software
- 10.2.1.3. Services
- 10.2.2. By Technology (Value)
- 10.2.2.1. Computer Vision
- 10.2.2.2. Machine Learning
- 10.2.2.3. Natural Language Processing
- 10.2.2.4. Context Awareness
- 10.2.3. By Application (Value)
- 10.2.3.1. Process Control
- 10.2.3.2. Production Planning
- 10.2.3.3. Predictive Maintenance & Machinery Inspection
- 10.2.3.4. Logistics and Inventory Management
- 10.2.3.5. Quality Management
- 10.2.3.6. Others
- 10.2.4. By Industry (Value)
- 10.2.4.1. Automotive
- 10.2.4.2. Medical Devices
- 10.2.4.3. Semiconductor & Electronics
- 10.2.4.4. Energy & Power
- 10.2.4.5. Heavy Metal & Machine Manufacturing
- 10.2.4.6. Others (Aerospace &Defense, Conglomerates, etc.,)
- 10.2.5. By Country (Value)
- 10.2.5.1. Brazil
- 10.2.5.2. Mexico
- 10.2.5.3. Rest of LATAM
- 11. Competition Matrix
- 11.1. Business Strategies Adopted by Leading Players
- 12. Global AI in Manufacturing Market Revenue Share Analysis, By Key Players, 2019
- 13. Company Profile
- 13.1. Microsoft Corporation (United States)
- 13.2. Google LLC (United States)
- 13.3. IBM Corporation (United States)
- 13.4. Amazon.com Inc. (United States)
- 13.5. NVIDIA Corporation (United States)
- 13.6. Siemens AG (Germany)
- 13.7. GENERAL ELECTRIC (United States)
- 13.8. SAP SE (Germany)
- 13.9. Rockwell Automation, Inc. (United States)
- 13.10. Mitsubishi Electric Corporation (Japan)
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