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Generative Artificial Intelligence (AI) In Engineering Market Poised To Hit $6.47 Billion By 2030 With A 37% CAGR
The market size for generative artificial intelligence (AI) in engineering has experienced substantial growth in recent years. It is anticipated to expand from $1.33 billion in 2025 to $1.84 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 37.7%. This historic growth can be attributed to several factors including the utilization of CAD and simulation tools, the need for quicker product development, the advancement of digital engineering, the early incorporation of AI into design, and the increasing complexity of products.
The generative artificial intelligence (AI) in engineering market is anticipated to experience significant expansion in the coming years. Its value is projected to grow to $6.47 billion by 2030, achieving a compound annual growth rate (CAGR) of 37.0%. This growth during the forecast period is primarily driven by the increasing integration of generative design tools, a growing demand for lightweight and efficient designs, the widespread adoption of digital twins, the expansion of cloud engineering platforms, and a strong emphasis on cost and time optimization. Noteworthy trends during this period include AI-driven design optimization, advanced 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 Growth Factors: What’s Supporting Expansion?
The increasing importance of automation is anticipated to stimulate the expansion of the generative artificial intelligence in engineering market moving forward. Automation describes the use of technologies such as machinery, software, or robotics to execute tasks or processes with minimal human interaction. This rising emphasis on automation arises from the imperative to enhance efficiency, lower costs, ensure consistent quality, improve safety, and secure a competitive edge within an ever-globalizing and data-intensive market. Generative AI in engineering supports automation by designing and optimizing intricate systems, creating innovative solutions, and automating repetitive operations, thereby accelerating development and boosting overall efficiency. As an illustration, in September 2023, the International Federation of Robotics, a Germany-based non-profit organization, reported 553,052 industrial robot installations across global factories, marking a 5% year-on-year growth rate in 2022. Hence, the increasing focus on automation is significantly propelling the growth of the generative artificial intelligence in engineering market.
Generative Artificial Intelligence (AI) In Engineering Market Segment Landscape And Growth Outlook
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 Industry Trends: What’s Reshaping Demand?
Major companies active in the generative artificial intelligence in engineering market are concentrating on creating advanced solutions, such as a generative AI-powered platform for modern engineering, to enhance various facets of engineering and design processes. A generative AI-enabled platform for powering modern engineering represents a sophisticated software system that utilizes 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 transforming enterprise software engineering. This platform integrates every phase of the software development lifecycle, providing cross-functional engineering teams with essential tools and digital resources to boost efficiency in producing high-quality code, while also improving oversight and transparency throughout the entire process.
Generative Artificial Intelligence (AI) In Engineering Market Competitive Landscape: Who Leads The Industry?
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 Regional Analysis: Which Geography Leads On Revenue?
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.
