generative artificial intelligence in engineering market top players, generative artificial intelligence in engineering market drivers, generative ai in engineering market trends, generative artificial intelligence in engineering market analysis, generative artificial intelligence in engineering market outlook, generative artificial intelligence in engineering market research
What is the current size and annual growth rate of 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 $0.97 billion in 2024 to $1.34 billion in 2025 at a compound annual growth rate (CAGR) of 38.0%. The growth in the historic period can be attributed to increasing computational power, increasing focus on ethical considerations, increasing deep learning, increasing investment from venture capital firms, and increasing awareness of ethical implications.
The generative artificial intelligence (AI) in engineering market size is expected to see exponential growth in the next few years. It will grow to $4.84 billion in 2029 at a compound annual growth rate (CAGR) of 37.8%. The growth in the forecast period can be attributed to the growth of educational programs, the development of standards and regulations, the development of fundamental algorithms, educational and research institutions, and growing cross-disciplinary collaboration. Major trends in the forecast period include integration with simulation and testing, advanced automated engineering workflow, integration of virtual prototyping, customizable AI models, and development of smart engineering systems.
Get Your Free Sample of The Global Generative Artificial Intelligence (AI) In Engineering Market Report:
https://www.thebusinessresearchcompany.com/sample.aspx?id=20805&type=smp
Which major factors have contributed to the expansion of the generative artificial intelligence (ai) in engineering market?
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 April 2024, according to a report published by the International Federation of Robotics, a Germany-based non-governmental organization in 2023, U.S. automotive sales rose by 1%, with 14,678 robots installed, following a 47% increase in 2022, which saw 14,472 units. Additionally, car and component manufacturers accounted for 33% of all industrial robot installations in the U.S. Therefore, the growing emphasis on automation is driving the growth of generative artificial intelligence in engineering market.
How is the generative artificial intelligence (ai) in engineering market segmented?
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
Order your report now for swift delivery
Who are the top competitors in the generative artificial intelligence (ai) in engineering market?
Major companies operating in the generative artificial intelligence in engineering market areGoogle 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.
Which key trends are expected to influence the generative artificial intelligence (ai) in engineering market in the coming years?
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 regional trends are influencing the generative artificial intelligence (ai) in engineering market, and which area dominates the industry?
North America was the largest region in the generative artificial intelligence in engineering market in 2024. The regions covered in the generative artificial intelligence in engineering market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Generative Artificial Intelligence (AI) In Engineering Market Report 2025 Offer?
The generative artificial intelligence (ai) in engineering market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Generative artificial intelligence in engineering refers to the application of advanced AI algorithms that autonomously create, optimize, and refine complex engineering designs and solutions by simulating various scenarios and outcomes. This is used to enhance design processes, improve product innovation, optimize structural integrity, and accelerate the development of efficient and cost-effective engineering solutions.
Purchase the exclusive report now to unlock valuable market insights:
https://www.thebusinessresearchcompany.com/purchaseoptions.aspx?id=20805
With over 15000+ reports from 27 industries covering 60+ geographies, The Business Research Company has built a reputation for offering comprehensive, data-rich research and insights. Armed with 1,500,000 datasets, the optimistic contribution of in-depth secondary research, and unique insights from industry leaders, you can get the information you need to stay ahead.
Our flagship product, the Global Market Model, is a premier market intelligence platform delivering comprehensive and updated forecasts to support informed decision-making.
Contact Us:
The Business Research Company
Europe: +44 207 1930 708
Asia: +91 88972 63534
Americas: +1 315 623 0293
Email: info@tbrc.info
Follow Us On:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
Twitter: https://twitter.com/tbrc_info
Facebook: https://www.facebook.com/TheBusinessResearchCompany
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Blog: https://blog.tbrc.info/
Healthcare Blog: https://healthcareresearchreports.com/
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model
