Artificial Intelligence (AI) in Manufacturing Market Size To Gain USD 68.36 Billion by 2032

The artificial intelligence (AI) in manufacturing market size is poised to grow by USD 68.36  billion by 2032 from USD 3.8 billion in 2022, exhibiting a CAGR of 33.5% during the forecast period 2023-2032. 

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.

Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Artificial intelligence (AI) in manufacturing market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.

To begin with, the Artificial intelligence (AI) in manufacturing Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.

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Artificial Intelligence (AI) in Manufacturing Market  Report Scope

Read More: Emission Control Technology Market Size To Gain USD 283.22 Billion by 2032

The empirical study on the global Artificial intelligence (AI) in manufacturing market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Artificial intelligence (AI) in manufacturing Market. Our market report for the Artificial intelligence (AI) in manufacturing market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.

Top Key Players:

• Mitsubishi Electric Corporation
• NVIDIA Corporation
• Intel Corporation
• Siemens AG
• International Business Management Corporation
• Oracle Corporation
• Robert Bosch GMBH
• Cisco Systems Inc.

Data Sources and Methodology

To gather comprehensive insights on the Global Artificial intelligence (AI) in manufacturing Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.

We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Artificial intelligence (AI) in manufacturing Market.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Artificial intelligence (AI) in manufacturing market report exclusively from precedence research

• The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.

Key Features of the Report:

• Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
• Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
• Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.

Artificial Intelligence (AI) in Manufacturing 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

Reasons to Consider Purchasing the Report:

• Enhance your market research capabilities by accessing this comprehensive and precise report on the global Artificial intelligence (AI) in manufacturing market.
• Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
• Benefit from in-depth research and analysis of the latest trends shaping the global Artificial intelligence (AI) in manufacturing market.
• Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Artificial intelligence (AI) in manufacturing market.
• Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
• Discover not only the cutting-edge technological advancements in the global Artificial intelligence (AI) in manufacturing market but also the strategic plans of industry leaders.

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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