Generative AI in Engineering Market Report 2025 - Size and Share


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How Strong Is the Market Growth Outlook for the Generative Artificial Intelligence (AI) In Engineering Market?
The generative artificial intelligence (AI) in engineering market size has grown exponentially in recent years. It will grow from $1.33 billion in 2025 to $1.84 billion in 2026 at a compound annual growth rate (CAGR) of 37.7%. The growth in the historic period can be attributed to use of cad and simulation tools, demand for faster product development, growth of digital engineering, early AI integration in design, increasing product complexity.

The generative artificial intelligence (AI) in engineering market size is expected to see exponential growth in the next few years. It will grow to $6.47 billion in 2030 at a compound annual growth rate (CAGR) of 37.0%. The growth in the forecast period can be attributed to rising adoption of generative design tools, demand for lightweight and efficient designs, expansion of digital twins, growth of cloud engineering platforms, focus on cost and time optimization. Major trends in the forecast period include AI driven design optimization, generative engineering simulations, automated prototyping and modeling, AI assisted materials engineering, cloud based generative design platforms.

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Which Major Growth Drivers Will Influence the Generative Artificial Intelligence (AI) In Engineering Market by 2030?
The growing emphasis on automation is expected to propel the growth of generative artificial intelligence in engineering market going forward. Automation refers to the process of utilizing technologies such as machinery, software, or robotics to carry out tasks or processes with minimal human involvement. The growing emphasis on automation is due to the need to boost efficiency, reduce costs, ensure consistent quality, enhance safety, and gain a competitive edge in an increasingly globalized and data-driven market. Generative AI in engineering helps automation by designing and optimizing complex systems, generating innovative solutions, and automating repetitive tasks, thus accelerating the development process and improving efficiency. For instance, in September 2023, according to the International Federation of Robotics, a Germany-based non-profit organization, there were 553,052 industrial robot installations in factories globally, reflecting a year-on-year growth rate of 5% in 2022. Therefore, the growing emphasis on automation is driving the growth of generative artificial intelligence in engineering market.

What Are the Main Segments of the Generative Artificial Intelligence (AI) In Engineering Market?
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

What Are the Key Trends Shaping the Generative Artificial Intelligence (AI) In Engineering Market?
Major companies operating in the generative artificial intelligence in engineering market are focusing on developing advanced solutions, such as a generative AI-enabled platform for powering modern engineering, to enhance various aspects of engineering and design processes. A generative AI-enabled platform for powering modern engineering is a sophisticated software system that leverages generative artificial intelligence technologies. For instance, in February 2024, Cognizant Technology Solutions Corporation, a US-based information technology company, launched Cognizant Flowsource, a generative AI-powered platform aimed at revolutionizing enterprise software engineering. The platform integrates every stage of the software development lifecycle, equipping cross-functional engineering teams with tools and digital resources to enhance efficiency in delivering high-quality code, while also improving control and transparency throughout the process.

Which Players Dominate the Generative Artificial Intelligence (AI) In Engineering Market Landscape?
Major companies operating in the generative artificial intelligence (AI) in engineering market are Google LLC, General Electric Company, International Business Machines Corporation (IBM), Honeywell International Inc., 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, nTopology Inc., SimScale GmbH, Rescale Inc., Cadence Design Systems Inc., Materialise NV, The MathWorks Inc., Synera GmbH, SoftInWay Inc.

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Which region represents the fastest-growing market for the Generative Artificial Intelligence (AI) In Engineering Market?
North America was the largest region in the generative artificial intelligence in engineering market in 2025. The regions covered in the generative artificial intelligence (AI) in engineering market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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