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Generative Artificial Intelligence (AI) In Engineering Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The generative artificial intelligence (AI) in engineering market has experienced substantial expansion in recent years. It is projected to increase from $1.33 billion in 2025 to $1.84 billion in 2026, growing at a compound annual growth rate (CAGR) of 37.7%. The historical growth of this market can be attributed to the adoption of CAD and simulation tools, the imperative for quicker product development, the advancement of digital engineering, the early integration of AI into design processes, and the rising complexity of products.
The generative artificial intelligence (AI) in engineering market is anticipated to experience substantial growth over the coming years. Projections indicate it will reach a valuation of $6.47 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 37.0%. This projected expansion during the forecast period is primarily driven by an increased uptake of generative design tools, a growing need for lightweight and efficient designs, the broadening scope of digital twins, the proliferation of cloud engineering platforms, and a strong emphasis on optimizing both cost and time. Key developments expected during this period include AI-driven design optimization, generative engineering simulations, automated prototyping and modeling, AI-assisted materials engineering, and the emergence of cloud-based generative design platforms.
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Generative Artificial Intelligence (AI) In Engineering Market Development Factors: Which Trends Are Supporting Demand?
An increasing focus on automation is anticipated to drive the expansion of the generative artificial intelligence in engineering market in the future. Automation is defined as the method of employing technologies like machinery, software, or robotics to perform tasks or operations requiring minimal human intervention. This heightened emphasis on automation stems from the necessity to improve efficiency, decrease expenditures, maintain uniform quality, boost safety, and achieve a competitive advantage in a progressively globalized and data-intensive market environment. Generative AI in engineering supports automation by conceptualizing and refining intricate systems, creating novel solutions, and automating routine operations, thereby expediting the development cycle and enhancing overall efficiency. As an illustration, figures from September 2023, provided by the International Federation of Robotics, a Germany-based non-profit organization, showed 553,052 industrial robot installations worldwide in factories, indicating a 5% year-on-year growth rate in 2022. Consequently, the escalating importance placed on automation is fueling the expansion of the generative artificial intelligence in engineering market.
Generative Artificial Intelligence (AI) In Engineering Market Segment Analysis: What Are The Major Market Categories?
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
Generative Artificial Intelligence (AI) In Engineering Market Innovation Trends Driving Future Development
Leading companies within the generative artificial intelligence in engineering market are concentrating on developing sophisticated solutions, such as a generative AI-powered platform for powering modern engineering, to improve various aspects of engineering and design operations. A generative AI-enabled platform for powering modern engineering is an advanced software system that utilizes generative artificial intelligence technologies. For example, in February 2024, Cognizant Technology Solutions Corporation, a US-based information technology company, introduced Cognizant Flowsource, a generative AI-driven platform intended to transform enterprise software engineering. This platform seamlessly integrates every phase of the software development lifecycle, furnishing cross-functional engineering teams with tools and digital resources to boost efficiency in delivering high-quality code, while also enhancing control and transparency throughout the entire process.
Generative Artificial Intelligence (AI) In Engineering Market Leading Companies Driving Competitive Growth
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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Generative Artificial Intelligence (AI) In Engineering Market Global Footprint: Which Region Holds Market Leadership?
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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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.