by The global artificial intelligence (AI) in manufacturing market size was estimated to be around US$ 3.8 billion in 2022. It is projected to reach US$ 68.36 billion by 2032, indicating a compound annual growth rate (CAGR) of 33.5% from 2023 to 2032.
Key Takeaways:
- North America had the largest share of the market in 2022.
- Asia Pacific is expected to expand at the fastest CAGR between 2023 to 2032.
- By Offering, the software segment captured more than 32% of revenue share in 2022.
- By Technology, the computer vision segment is projected to register a significant CAGR from 2023 to 2032.
- By Application, the predictive maintenance and machinery inspection segment is estimated to hold a significant share of the market between 2023 to 2032.
- By Industry, the medical devices segment is predicted to hold the largest share of the market between 2023 to 2032.
The market research report on the Artificial intelligence (AI) in manufacturing market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Artificial intelligence (AI) in manufacturing products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
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Artificial Intelligence (AI) in Manufacturing Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 5.07 Billion |
| Market Size by 2032 | USD 68.36 Billion |
| Growth Rate from 2023 to 2032 | CAGR of 33.5% |
| Largest Market | North America |
| Fastest Growing Market | Asia Pacific |
| Base Year | 2022 |
| Forecast Period | 2023 to 2032 |
| Segments Covered | By Offering, By Technology, By Application, and By Industry |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America and Middle East & Africa |
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The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Artificial intelligence (AI) in manufacturing market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Artificial intelligence (AI) in manufacturing market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Artificial intelligence (AI) in manufacturing products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Artificial intelligence (AI) in manufacturing market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Artificial intelligence (AI) in manufacturing market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Artificial intelligence (AI) in manufacturing market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
Key Players
- Mitsubishi Electric Corporation
- NVIDIA Corporation
- Intel Corporation
- Siemens AG
- International Business Management Corporation
- Oracle Corporation
- Robert Bosch GMBH
- Cisco Systems Inc.
Artificial Intelligence (AI) in Manufacturing Market Segmentations
By Offering
- Hardware
- Software
- Services
By Technology
- Machine Learning
- Context Awareness
- Natural Language Processing
- Computer Vision
By Application
- Process Control
- Quality Control
- Logistics and Inventory Management
- Predictive Maintenance and Machinery Inspection
- Production Planning
- Others
By Industry
- Automotive
- Medical Devices
- Semiconductor and Electronics
- Energy and Power
- Heavy Metal and Machine Manufacturing
- Others
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in Manufacturing Market
5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Manufacturing Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Artificial Intelligence (AI) in Manufacturing Market, By Offering
8.1. Artificial Intelligence (AI) in Manufacturing Market, by Offering, 2023-2032
8.1.1. Hardware
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Software
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Services
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Artificial Intelligence (AI) in Manufacturing Market, By Technology
9.1. Artificial Intelligence (AI) in Manufacturing Market, by Technology, 2023-2032
9.1.1. Machine Learning
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Context Awareness
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Natural Language Processing
9.1.3.1. Market Revenue and Forecast (2020-2032)
9.1.4. Computer Vision
9.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Artificial Intelligence (AI) in Manufacturing Market, By Application
10.1. Artificial Intelligence (AI) in Manufacturing Market, by Application, 2023-2032
10.1.1. Process Control
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Quality Control
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Logistics and Inventory Management
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Predictive Maintenance and Machinery Inspection
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Production Planning
10.1.5.1. Market Revenue and Forecast (2020-2032)
10.1.6. Others
10.1.6.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Artificial Intelligence (AI) in Manufacturing Market, By Industry
11.1. Artificial Intelligence (AI) in Manufacturing Market, by Industry, 2023-2032
11.1.1. Automotive
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Medical Devices
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Semiconductor and Electronics
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Energy and Power
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Heavy Metal and Machine Manufacturing
11.1.5.1. Market Revenue and Forecast (2020-2032)
11.1.6. Others
11.1.6.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Artificial Intelligence (AI) in Manufacturing Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Offering (2020-2032)
12.1.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.3. Market Revenue and Forecast, by Application (2020-2032)
12.1.4. Market Revenue and Forecast, by Industry (2020-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Offering (2020-2032)
12.1.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.1.5.4. Market Revenue and Forecast, by Industry (2020-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Offering (2020-2032)
12.1.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.1.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.1.6.4. Market Revenue and Forecast, by Industry (2020-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Offering (2020-2032)
12.2.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.4. Market Revenue and Forecast, by Industry (2020-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Offering (2020-2032)
12.2.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.5.4. Market Revenue and Forecast, by Industry (2020-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Offering (2020-2032)
12.2.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.6.4. Market Revenue and Forecast, by Industry (2020-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Offering (2020-2032)
12.2.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.7.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.7.4. Market Revenue and Forecast, by Industry (2020-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Offering (2020-2032)
12.2.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.2.8.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.8.4. Market Revenue and Forecast, by Industry (2020-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Offering (2020-2032)
12.3.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.4. Market Revenue and Forecast, by Industry (2020-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Offering (2020-2032)
12.3.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.5.4. Market Revenue and Forecast, by Industry (2020-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Offering (2020-2032)
12.3.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.6.4. Market Revenue and Forecast, by Industry (2020-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Offering (2020-2032)
12.3.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.7.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.7.4. Market Revenue and Forecast, by Industry (2020-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Offering (2020-2032)
12.3.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.3.8.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.8.4. Market Revenue and Forecast, by Industry (2020-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Offering (2020-2032)
12.4.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.4. Market Revenue and Forecast, by Industry (2020-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Offering (2020-2032)
12.4.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.5.4. Market Revenue and Forecast, by Industry (2020-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Offering (2020-2032)
12.4.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.6.4. Market Revenue and Forecast, by Industry (2020-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Offering (2020-2032)
12.4.7.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.7.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.7.4. Market Revenue and Forecast, by Industry (2020-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Offering (2020-2032)
12.4.8.2. Market Revenue and Forecast, by Technology (2020-2032)
12.4.8.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.8.4. Market Revenue and Forecast, by Industry (2020-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Offering (2020-2032)
12.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.5.4. Market Revenue and Forecast, by Industry (2020-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Offering (2020-2032)
12.5.5.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.5.5.4. Market Revenue and Forecast, by Industry (2020-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Offering (2020-2032)
12.5.6.2. Market Revenue and Forecast, by Technology (2020-2032)
12.5.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.5.6.4. Market Revenue and Forecast, by Industry (2020-2032)
Chapter 13. Company Profiles
13.1. Mitsubishi Electric Corporation
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. NVIDIA Corporation
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Intel Corporation
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Siemens AG
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. International Business Management Corporation
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Oracle Corporation
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Robert Bosch GMBH
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. Cisco Systems Inc.
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
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