Global AI Industrial Software Market 2025 by Company, Regions, Type and Application, Forecast to 2031
Description
According to our (Global Info Research) latest study, the global AI Industrial Software market size was valued at US$ 1585 million in 2024 and is forecast to a readjusted size of USD 2452 million by 2031 with a CAGR of 6.1% during review period.
AI Industrial Software is a software system that uses artificial intelligence algorithms and technologies to intelligently transform and upgrade the entire life cycle of industrial R&D design, manufacturing, business management, services, etc. It combines industrial knowledge and technology accumulation, and realizes industrial digitization, networking, and intelligence through modeling, coding, and tooling.
This report is a detailed and comprehensive analysis for global AI Industrial Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Industrial Software market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI Industrial Software market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI Industrial Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI Industrial Software market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Industrial Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Industrial Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include VEVA, Augury, C3 AI, Cogniac Corporation, DataRobot, IBM Watson IoT for Manufacturing, MachineMetrics, Microsoft Azure, Narrative Wave, Oracle, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Industrial Software market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Information Management Software
R&D Design Software
Production Control Software
Others
Market segment by Application
Mechanical Manufacturing Industry
Energy Industry
Petrochemical Industry
Automotive Industry
Others
Market segment by players, this report covers
VEVA
Augury
C3 AI
Cogniac Corporation
DataRobot
IBM Watson IoT for Manufacturing
MachineMetrics
Microsoft Azure
Narrative Wave
Oracle
Rescale
Siemens
Sight Machine
SymphonyAI
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Industrial Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Industrial Software, with revenue, gross margin, and global market share of AI Industrial Software from 2020 to 2025.
Chapter 3, the AI Industrial Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI Industrial Software market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Industrial Software.
Chapter 13, to describe AI Industrial Software research findings and conclusion.
AI Industrial Software is a software system that uses artificial intelligence algorithms and technologies to intelligently transform and upgrade the entire life cycle of industrial R&D design, manufacturing, business management, services, etc. It combines industrial knowledge and technology accumulation, and realizes industrial digitization, networking, and intelligence through modeling, coding, and tooling.
This report is a detailed and comprehensive analysis for global AI Industrial Software market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global AI Industrial Software market size and forecasts, in consumption value ($ Million), 2020-2031
Global AI Industrial Software market size and forecasts by region and country, in consumption value ($ Million), 2020-2031
Global AI Industrial Software market size and forecasts, by Type and by Application, in consumption value ($ Million), 2020-2031
Global AI Industrial Software market shares of main players, in revenue ($ Million), 2020-2025
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for AI Industrial Software
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global AI Industrial Software market based on the following parameters - company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include VEVA, Augury, C3 AI, Cogniac Corporation, DataRobot, IBM Watson IoT for Manufacturing, MachineMetrics, Microsoft Azure, Narrative Wave, Oracle, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market segmentation
AI Industrial Software market is split by Type and by Application. For the period 2020-2031, the growth among segments provides accurate calculations and forecasts for Consumption Value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Type
Information Management Software
R&D Design Software
Production Control Software
Others
Market segment by Application
Mechanical Manufacturing Industry
Energy Industry
Petrochemical Industry
Automotive Industry
Others
Market segment by players, this report covers
VEVA
Augury
C3 AI
Cogniac Corporation
DataRobot
IBM Watson IoT for Manufacturing
MachineMetrics
Microsoft Azure
Narrative Wave
Oracle
Rescale
Siemens
Sight Machine
SymphonyAI
Market segment by regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia, Italy and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia and Rest of Asia-Pacific)
South America (Brazil, Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)
The content of the study subjects, includes a total of 13 chapters:
Chapter 1, to describe AI Industrial Software product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top players of AI Industrial Software, with revenue, gross margin, and global market share of AI Industrial Software from 2020 to 2025.
Chapter 3, the AI Industrial Software competitive situation, revenue, and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by Type and by Application, with consumption value and growth rate by Type, by Application, from 2020 to 2031
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2020 to 2025.and AI Industrial Software market forecast, by regions, by Type and by Application, with consumption value, from 2026 to 2031.
Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis.
Chapter 12, the key raw materials and key suppliers, and industry chain of AI Industrial Software.
Chapter 13, to describe AI Industrial Software research findings and conclusion.
Table of Contents
109 Pages
- 1 Market Overview
- 2 Company Profiles
- 3 Market Competition, by Players
- 4 Market Size Segment by Type
- 5 Market Size Segment by Application
- 6 North America
- 7 Europe
- 8 Asia-Pacific
- 9 South America
- 10 Middle East & Africa
- 11 Market Dynamics
- 12 Industry Chain Analysis
- 13 Research Findings and Conclusion
- 14 Appendix
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