The Generative Artificial Intelligence (AI) In Engineering Market Overview 2025 report reveals that the market size has grown significantly over the past few years, with projections indicating further expansion.
What are the Historical Growth Trends in the Generative Artificial Intelligence (AI) In Engineering Market?
The market size of the generative artificial intelligence (AI) in engineering has seen exponential growth in recent years. It is predicted to expand from $0.97 billion in 2024 to $1.34 billion in 2025, with a compound annual growth rate (CAGR) of 38.0%.
What are the 2025 Market Projections: Forecasted Size & Growth Rate for the Generative Artificial Intelligence (AI) In Engineering Industry?
The Generative Artificial Intelligence (AI) In Engineering market is anticipated to reach $4.84 billion in size by 2029, growing at a compound annual growth rate (CAGR) of 37.8%.
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What are the Key Growth Drivers Fueling the Generative Artificial Intelligence (AI) In Engineering Market?
The key drivers in the generative artificial intelligence (ai) in engineering market are:
•Growth of educational programs related to AI in engineering
•Development and implementation of standards and regulations in this sector
•Advances and enhancements in fundamental AI algorithms
•Increasing cross-disciplinary collaboration between educational and research institutions and industry
Global Market Segmentation: Identifying Major Generative Artificial Intelligence (AI) In Engineering Industry Segments
The generative artificial intelligence (AI) in engineering market covered in this report is segmented –
1) By Tools And Platforms: Software Tools, Cloud-Based Platform, Application Programming Interfaces (APIs)
2) By Design And Manufacturing Stages: Early-Stage Conceptual Design, Detailed Design, Prototyping, Simulation, Manufacturing Process Optimization, Quality Control
3) By Application: Design Optimization, Product Development, Materials Engineering, Structural Analysis, Other Applications
4) By Industry Vertical: Automotive, Aerospace, Manufacturing, Energy, Construction, Other Industries
Subsegments:
1) By Software Tools: CAD (Computer-Aided Design) Tools With AI Integration, Simulation And Modeling Software, AI-Driven Design Optimization Tools, 3D Printing And Additive Manufacturing Tools
2) By Cloud-Based Platform: AI-Based Cloud Design Platforms, Cloud-Based Simulation Tools, Cloud-Based Engineering Analytics Platforms, Collaborative Cloud Platforms For Engineering Projects
3) By Application Programming Interfaces (APIs): AI-Powered API For Design Automation, APIs For Predictive Maintenance In Engineering, AI APIs For Structural Analysis, APIs For Engineering Data Integration And Analytics
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What are the emerging Trends Shaping the Future of the Generative Artificial Intelligence (AI) In Engineering Market?
The key trends in the generative artificial intelligence (ai) in engineering market are:
•The integration of simulation and testing with generative AI is a rising trend in engineering.
•The development of advanced automated engineering workflows is gaining traction.
•The industry is focusing on creating customizable AI models.
•A major trend is the development of smart engineering systems integrated with generative AI.
Who Are the Top Competitors & Leading Players in the Generative Artificial Intelligence (AI) In Engineering Market?
Major players in the generative artificial intelligence (ai) in engineering market are:
• Google LLC
• General Electric Company
• International Business Machines Corporation (IBM)
• Honeywell International Inc.
• SAP SE
• ABB Ltd.
• NVIDIA Corporation
• Dassault Systèmes SE
• Hexagon AB
• Autodesk Inc.
• Siemens Digital Industries Software Inc.
• ANSYS Inc.
• PTC Inc.
• Bentley Systems Incorporated
• Altair Engineering Inc.
• 3D Systems Corporation
• C3.ai Inc.
• ESI Group
• Anthropic Inc.
• LeewayHertz Technologies Inc.
• Plex Systems Inc.
• nTopology Inc.
• Markovate Inc.
Regional Dominance: Which Area Leads the Global Template Market?
North America was the largest region in the generative artificial intelligence in engineering market in 2024
