Generative Artificial Intelligence (AI) In Engineering Market Report 2025-2034: Industry Overview, Trends, And Forecast Analysis

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What Is the Current Generative Artificial Intelligence (AI) In Engineering Market Size and Its Estimated Growth Rate?
The market size of generative artificial intelligence (AI) in the engineering sector has seen an exceptional growth in the past few years. The expansion is projected to surge from $0.97 billion in 2024 to $1.34 billion in 2025 at an impressive compound annual growth rate (CAGR) of 38.0%. Several factors have contributed to the growth in the past, including improvement in computational power, heightened consciousness regarding ethical issues, advancements in deep learning, more capital investments from venture capitalist firms and enhanced understanding of ethical implications.

It is predicted that the market size of generative artificial intelligence (AI) in engineering will witness massive expansion in the forthcoming years. It is projected to balloon to $4.84 billion in 2029 with a compound annual growth rate (CAGR) of 37.8%. Various factors contribute to the expected increase during the forecast period, such as the expansion of educational programs, the establishment of standards and regulations, advancement in base algorithms, and the rise of educational and research institutions along with increased multi-disciplinary collaborations. The forecast period is also anticipated to see critical trends such as the merging of simulation and testing, the enhancement of automated engineering workflows, the incorporation of virtual prototyping, adaptable AI models, and the creation of intelligent engineering systems.

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How Are Emerging Segments Shaping the Generative Artificial Intelligence (AI) In Engineering Market Landscape?
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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Which Growth Factors Are Influencing Generative Artificial Intelligence (AI) In Engineering Market Expansion?
The escalating focus on automation is slated to drive the expansion of the generative artificial intelligence in engineering market in the future. Automation essentially involves the use of technologies such as software, machinery, or robotics to execute a variety of tasks or processes with minimal human intervention. The intensified focus on automation stems from the necessity to enhance efficacy, slash expenses, maintain consistent quality, underscore safety, and secure a competitive edge in a progressively global and data-oriented market. Generative AI contributes to automation in engineering by designing and optimizing intricate systems, producing innovative solutions, and automating routine tasks, thereby speeding up the development process and bolstering efficiency. For example, a report from the Germany-based non-governmental organization, the International Federation of Robotics, stated that in April 2024, U.S. automotive sales grew by 1% with 14,678 robots installed after seeing a 47% surge in 2022 resulting in 14,472 units. Moreover, car and component manufacturers represented 33% of all industrial robot installations in the U.S. Consequently, the escalating focus on automation is fuelling the expansion of the generative artificial intelligence in the engineering market.

Who Are the Dominant Players Across Different Generative Artificial Intelligence (AI) In Engineering Market Segments?
Major companies operating in the generative artificial intelligence 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.

What Are the Latest Developing Trends in the Acne Treatment Devices Market?
Leading businesses in the generative artificial intelligence engineering market are concentrating on creating cutting-edge solutions, including generative AI-powered platforms designed to improve numerous facets of engineering and design procedures. A platform leveraging generative AI to power contemporary engineering is an advanced software system utilizing generative AI technologies. For example, Cognizant Technology Solutions Corporation, an American IT firm, unveiled Cognizant Flowsource in February 2024. This generative AI-empowered platform aims to revolutionize the realm of enterprise software engineering. The platform integrates all stages of the software development lifecycle. It provides tools and digital assets to cross-functional engineering teams, aiming to enhance efficiency in delivering superior quality code and increasing control and transparency throughout the process.

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Which Geographic Regions Are Expected to Dominate the Generative Artificial Intelligence (AI) In Engineering Market in the Coming Years?
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.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Generative Artificial Intelligence (AI) In Engineering Market?
2. What is the CAGR expected in the Generative Artificial Intelligence (AI) In Engineering Market?
3. What Are the Key Innovations Transforming the Generative Artificial Intelligence (AI) In Engineering Industry?
4. Which Region Is Leading the Generative Artificial Intelligence (AI) In Engineering Market?

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