Global Artificial Intelligence in Manufacturing Market Overview And Scope:
Global Artificial Intelligence in Manufacturing Market Size was estimated at USD 3801.88 million in 2022 and is projected to reach USD 42948.47 million by 2028, exhibiting a CAGR of 49.79% during the forecast period.
The Global Artificial Intelligence in Manufacturing Market Report 2025 provides comprehensive analysis of market development components, patterns, flows, and sizes. This research study of Artificial Intelligence in Manufacturing utilized both primary and secondary data sources to calculate present and past market values to forecast potential market management for the forecast period between 2025 and 2032. It includes the study of a wide range of industry parameters, including government policies, market environments, competitive landscape, historical data, current market trends, technological innovations, upcoming technologies, and technological progress within related industries. Additionally, the report provides an in-depth analysis of the value chain and supply chain to demonstrate how value is added at every stage in the product lifecycle. The study incorporates market dynamics such as drivers, restraints/challenges, trends, and their impact on the market.
Top Key Players Mentioned Are: IBM, SAS, SAP SE, Siemens, Oracle, Microsoft, Mitsubishi Electric Corporation, Huawei, General Electric Company, Intel, Amazon Web Services, Google, Cisco Systems, PROGRESS DataRPM, Salesforce, NVIDIA, Autodesk
Global Artificial Intelligence in Manufacturing Market Segmentation
By Type, Artificial Intelligence in Manufacturing market has been segmented into:PLC
SCADA|HMI
MES
ERP
By Application, Artificial Intelligence in Manufacturing market has been segmented into:
Ferrous Metallurgy
Non-ferrous Metallurgy
Mining
Oil and Gas
Chemical
Others
Regional Analysis:
North America (U.S., Canada, Mexico)
Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE, Israel, South Africa)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence in Manufacturing market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence in Manufacturing market.
Top Key Players Covered in Artificial Intelligence in Manufacturing market are:
IBM
SAS
SAP SE
Siemens
Oracle
Microsoft
Mitsubishi Electric Corporation
Huawei
General Electric Company
Intel
Amazon Web Services
Google
Cisco Systems
PROGRESS DataRPM
Salesforce
NVIDIA
Autodesk
Objective to buy this Report:
1. Artificial Intelligence in Manufacturing analysis predicts the representation of this market, supply and demand, capacity, detailed investigations, etc.
2. Even the report, along with the international series, conducts an in-depth study of rules, policies and current policy.
3. In addition, additional factors are mentioned: imports, arrangement of commodity prices for the market, supply and demand of industry products, major manufacturers.
4. The report starts with Artificial Intelligence in Manufacturing market statistics and moves to important points, with dependent markets categorized by market trend by application.
5. Applications of market may also be assessed based on their performances.
6. Other market attributes, such as future aspects, limitations and growth for all departments.
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Artificial Intelligence in Manufacturing Market by Type
5.1 Artificial Intelligence in Manufacturing Market Overview Snapshot and Growth Engine
5.2 Artificial Intelligence in Manufacturing Market Overview
5.3 PLC
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2017-2032F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 PLC: Geographic Segmentation
5.4 SCADA|HMI
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2017-2032F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 SCADA|HMI: Geographic Segmentation
5.5 MES
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size (2017-2032F)
5.5.3 Key Market Trends, Growth Factors and Opportunities
5.5.4 MES: Geographic Segmentation
5.6 ERP
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size (2017-2032F)
5.6.3 Key Market Trends, Growth Factors and Opportunities
5.6.4 ERP: Geographic Segmentation
Chapter 6: Artificial Intelligence in Manufacturing Market by Application
6.1 Artificial Intelligence in Manufacturing Market Overview Snapshot and Growth Engine
6.2 Artificial Intelligence in Manufacturing Market Overview
6.3 Ferrous Metallurgy
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2017-2032F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 Ferrous Metallurgy: Geographic Segmentation
6.4 Non-ferrous Metallurgy
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2017-2032F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Non-ferrous Metallurgy: Geographic Segmentation
6.5 Mining
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2017-2032F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Mining: Geographic Segmentation
6.6 Oil and Gas
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2017-2032F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Oil and Gas: Geographic Segmentation
6.7 Chemical
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2017-2032F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Chemical: Geographic Segmentation
6.8 Others
6.8.1 Introduction and Market Overview
6.8.2 Historic and Forecasted Market Size (2017-2032F)
6.8.3 Key Market Trends, Growth Factors and Opportunities
6.8.4 Others: Geographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Artificial Intelligence in Manufacturing Sales and Market Share By Players
7.1.3 Industry BCG Matrix
7.1.4 Heat Map Analysis
7.1.5 Artificial Intelligence in Manufacturing Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Artificial Intelligence in Manufacturing Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 IBM
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 SAS
7.4 SAP SE
7.5 SIEMENS
7.6 ORACLE
7.7 MICROSOFT
7.8 MITSUBISHI ELECTRIC CORPORATION
7.9 HUAWEI
7.10 GENERAL ELECTRIC COMPANY
7.11 INTEL
7.12 AMAZON WEB SERVICES
7.13 GOOGLE
7.14 CISCO SYSTEMS
7.15 PROGRESS DATARPM
7.16 SALESFORCE
7.17 NVIDIA
7.18 AUTODESK
Chapter 8: Global Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2017-2032
8.1 Market Overview
8.2 Historic and Forecasted Market Size By Type
8.2.1 PLC
8.2.2 SCADA|HMI
8.2.3 MES
8.2.4 ERP
8.3 Historic and Forecasted Market Size By Application
8.3.1 Ferrous Metallurgy
8.3.2 Non-ferrous Metallurgy
8.3.3 Mining
8.3.4 Oil and Gas
8.3.5 Chemical
8.3.6 Others
Chapter 9: North America Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2017-2032
9.1 Key Market Trends, Growth Factors and Opportunities
9.2 Impact of Covid-19
9.3 Key Players
9.4 Key Market Trends, Growth Factors and Opportunities
9.4 Historic and Forecasted Market Size By Type
9.4.1 PLC
9.4.2 SCADA|HMI
9.4.3 MES
9.4.4 ERP
9.5 Historic and Forecasted Market Size By Application
9.5.1 Ferrous Metallurgy
9.5.2 Non-ferrous Metallurgy
9.5.3 Mining
9.5.4 Oil and Gas
9.5.5 Chemical
9.5.6 Others
9.6 Historic and Forecast Market Size by Country
9.6.1 US
9.6.2 Canada
9.6.3 Mexico
Chapter 10: Eastern Europe Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2017-2032
10.1 Key Market Trends, Growth Factors and Opportunities
10.2 Impact of Covid-19
10.3 Key Players
10.4 Key Market Trends, Growth Factors and Opportunities
10.4 Historic and Forecasted Market Size By Type
10.4.1 PLC
10.4.2 SCADA|HMI
10.4.3 MES
10.4.4 ERP
10.5 Historic and Forecasted Market Size By Application
10.5.1 Ferrous Metallurgy
10.5.2 Non-ferrous Metallurgy
10.5.3 Mining
10.5.4 Oil and Gas
10.5.5 Chemical
10.5.6 Others
10.6 Historic and Forecast Market Size by Country
10.6.1 Bulgaria
10.6.2 The Czech Republic
10.6.3 Hungary
10.6.4 Poland
10.6.5 Romania
10.6.6 Rest of Eastern Europe
Chapter 11: Western Europe Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2017-2032
11.1 Key Market Trends, Growth Factors and Opportunities
11.2 Impact of Covid-19
11.3 Key Players
11.4 Key Market Trends, Growth Factors and Opportunities
11.4 Historic and Forecasted Market Size By Type
11.4.1 PLC
11.4.2 SCADA|HMI
11.4.3 MES
11.4.4 ERP
11.5 Historic and Forecasted Market Size By Application
11.5.1 Ferrous Metallurgy
11.5.2 Non-ferrous Metallurgy
11.5.3 Mining
11.5.4 Oil and Gas
11.5.5 Chemical
11.5.6 Others
11.6 Historic and Forecast Market Size by Country
11.6.1 Germany
11.6.2 UK
11.6.3 France
11.6.4 Netherlands
11.6.5 Italy
11.6.6 Russia
11.6.7 Spain
11.6.8 Rest of Western Europe
Chapter 12: Asia Pacific Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2017-2032
12.1 Key Market Trends, Growth Factors and Opportunities
12.2 Impact of Covid-19
12.3 Key Players
12.4 Key Market Trends, Growth Factors and Opportunities
12.4 Historic and Forecasted Market Size By Type
12.4.1 PLC
12.4.2 SCADA|HMI
12.4.3 MES
12.4.4 ERP
12.5 Historic and Forecasted Market Size By Application
12.5.1 Ferrous Metallurgy
12.5.2 Non-ferrous Metallurgy
12.5.3 Mining
12.5.4 Oil and Gas
12.5.5 Chemical
12.5.6 Others
12.6 Historic and Forecast Market Size by Country
12.6.1 China
12.6.2 India
12.6.3 Japan
12.6.4 South Korea
12.6.5 Malaysia
12.6.6 Thailand
12.6.7 Vietnam
12.6.8 The Philippines
12.6.9 Australia
12.6.10 New Zealand
12.6.11 Rest of APAC
Chapter 13: Middle East & Africa Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2017-2032
13.1 Key Market Trends, Growth Factors and Opportunities
13.2 Impact of Covid-19
13.3 Key Players
13.4 Key Market Trends, Growth Factors and Opportunities
13.4 Historic and Forecasted Market Size By Type
13.4.1 PLC
13.4.2 SCADA|HMI
13.4.3 MES
13.4.4 ERP
13.5 Historic and Forecasted Market Size By Application
13.5.1 Ferrous Metallurgy
13.5.2 Non-ferrous Metallurgy
13.5.3 Mining
13.5.4 Oil and Gas
13.5.5 Chemical
13.5.6 Others
13.6 Historic and Forecast Market Size by Country
13.6.1 Turkey
13.6.2 Bahrain
13.6.3 Kuwait
13.6.4 Saudi Arabia
13.6.5 Qatar
13.6.6 UAE
13.6.7 Israel
13.6.8 South Africa
Chapter 14: South America Artificial Intelligence in Manufacturing Market Analysis, Insights and Forecast, 2017-2032
14.1 Key Market Trends, Growth Factors and Opportunities
14.2 Impact of Covid-19
14.3 Key Players
14.4 Key Market Trends, Growth Factors and Opportunities
14.4 Historic and Forecasted Market Size By Type
14.4.1 PLC
14.4.2 SCADA|HMI
14.4.3 MES
14.4.4 ERP
14.5 Historic and Forecasted Market Size By Application
14.5.1 Ferrous Metallurgy
14.5.2 Non-ferrous Metallurgy
14.5.3 Mining
14.5.4 Oil and Gas
14.5.5 Chemical
14.5.6 Others
14.6 Historic and Forecast Market Size by Country
14.6.1 Brazil
14.6.2 Argentina
14.6.3 Rest of SA
Chapter 15 Investment Analysis
Chapter 16 Analyst Viewpoint and Conclusion
Artificial Intelligence in Manufacturing Scope:
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Report Data
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Artificial Intelligence in Manufacturing Market
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Artificial Intelligence in Manufacturing Market Size in 2025
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USD XX million
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Artificial Intelligence in Manufacturing CAGR 2025 - 2032
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XX%
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Artificial Intelligence in Manufacturing Base Year
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2024
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Artificial Intelligence in Manufacturing Forecast Data
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2025 - 2032
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Segments Covered
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By Type, By Application, And by Regions
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Regional Scope
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North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
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Key Companies Profiled
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IBM, SAS, SAP SE, Siemens, Oracle, Microsoft, Mitsubishi Electric Corporation, Huawei, General Electric Company, Intel, Amazon Web Services, Google, Cisco Systems, PROGRESS DataRPM, Salesforce, NVIDIA, Autodesk.
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Key Segments
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By Type
PLC
SCADA|HMI
MES
ERP
By Applications
Ferrous Metallurgy
Non-ferrous Metallurgy
Mining
Oil and Gas
Chemical
Others
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