According to the research report, the global artificial intelligence (AI) in manufacturing market size is expected to touch USD 68.36 Billion by 2032, from USD 3.8 Billion in 2022, growing with a significant 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 artificial intelligence (AI) in manufacturing report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence (AI) in manufacturing in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global artificial intelligence (AI) in manufacturing market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence (AI) in manufacturing during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
Sample Link @ https://www.precedenceresearch.com/sample/3090
This study covers a detailed segmentation of the global artificial intelligence (AI) in manufacturing market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence (AI) in manufacturing market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- Mitsubishi Electric Corporation
- NVIDIA Corporation
- Intel Corporation
- Siemens AG
- International Business Management Corporation
- Oracle Corporation
- Robert Bosch GMBH
- Cisco Systems Inc.
Market Segmentation
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
Research Methodology
The research methodology adopted by analysts for compiling the global artificial intelligence (AI) in manufacturing report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence (AI) in manufacturing market.
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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