Artificial Intelligence (AI) in Manufacturing Market Size US$ 68.36 Billion by 2032

According to the new research report published by Precedence Research, titled “Artificial Intelligence (AI) in Manufacturing Market (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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032 (By Product: Traditional, Advanced; By Application: Pottery, Tiles, Abrasives, Sanitary wave, Bricks & pipes, Others; By End User: Medical, Industrial, Building & Construction, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032”, the global artificial intelligence (AI) in manufacturing market size is expected to be worth around US$ 68.36 billion by 2032 and is poised to record a yearly growth rate of 33.5% from 2023 to 2032. The study investigates several elements and their consequences on the growth of the all-wheel drive market.

This report focuses on artificial intelligence (AI) in manufacturing market volume and value at the global level, regional level and company level. From a global perspective, this report represents the overall artificial intelligence (AI) in manufacturing market size by analysing historical data and future prospects. Regionally, this report focuses on several key regions: North America, Europe, the Middle East & Africa, Latin America, etc.

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 research report includes specific segments by region (country), by company, by all segments. This study provides information about the growth and revenue during the historic and forecasted period of 2017 to 2032. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

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The study also provides important advancements in organic and inorganic growth strategies in the worldwide artificial intelligence (AI) in manufacturing market. A lot of corporations are prioritizing new launches, product approvals, and other business expansion techniques. In addition, the report offers profiles of artificial intelligence (AI) in manufacturing market firms and market strategies. Furthermore, the research focuses on top industry participants, providing information such as company profiles, components and services offered, recent financial data, and key developments.

Artificial Intelligence (AI) in Manufacturing Market Report Scope 

Also read: Emission Control Technology Market Size US$ 283.22 Billion by 2032

Major Key Points Covered in Report:

Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.

Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.

Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.

Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.

Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.

Market Key Players

Company profiles have been included in the report, which include essentials such as product portfolio, key strategies, along with all-inclusive SWOT analysis on each player. Company presence is mapped and presented through a matrix for all the prominent players, thus providing readers with actionable insights, which helps in thoughtfully presenting market status and predicting the competition level in the artificial intelligence (AI) in manufacturing market.

Some of the prominent players in the artificial intelligence (AI) in manufacturing market include

• 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

Report Objectives 

• To define, segment, and project the global market size for artificial intelligence (AI) in manufacturing market
• To understand the structure of the market by identifying its various sub-segments
• To provide detailed information about the key factors influencing the growth of the market (drivers, restraints, opportunities, and industry-specific challenges)
• To analyse the micro-markets, with respect to individual growth trends, future prospects, and their contributions to the total market
• To project the size of the market and its submarkets, in terms of value, with respect to global. (along with their respective key countries)
• To profile key players and comprehensively analyse their core competencies
• To understand the competitive landscape and identify major growth strategies adopted by players across the globe.
• To analyse the competitive developments such as expansions & investments, new product launches, mergers & acquisitions, joint ventures, and agreements 

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

Why should you invest in this report?

If you are aiming to enter the global artificial intelligence (AI) in manufacturing market, this report is a comprehensive guide that provides crystal clear insights into this niche market. All the major application areas for artificial intelligence (AI) in manufacturing are covered in this report and information is given on the important regions of the world where this market is likely to boom during the forecast period of 2023-2030 so that you can plan your strategies to enter this market accordingly.

Besides, through this report, you can have a complete grasp of the level of competition you will be facing in this hugely competitive market and if you are an established player in this market already, this report will help you gauge the strategies that your competitors have adopted to stay as market leaders in this market. For new entrants to this market, the voluminous data provided in this report is invaluable.

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