Top Factor Driving Generative Artificial Intelligence (AI) In Engineering Market Growth in 2025: Growing Emphasis On Automation Drives Growth In Generative AI For Engineering

Which drivers are expected to have the greatest impact on the over the generative artificial intelligence (ai) in engineering market's growth?
The increasing focus on automation is anticipated to drive the expansion of the generative artificial intelligence in the engineering sector. Automation involves the use of technologies like machinery, software, or robotics to complete tasks with minimal human intervention. This increasing focus stems from the need to enhance efficiency, cut costs, maintain quality consistency, improve safety, and achieve a competitive advantage in a globalized, data-driven industry. Generative AI assists automation by creating and optimizing intricate systems, devising innovative solutions, and automating monotonous tasks, thus fast-tracking the development process while boosting efficiency. For example, a report from the International Federation of Robotics, a German NGO, stated that U.S. automotive sales ascended by 1% in April 2024, with 14,678 robots put into operation, subsequent to a 47% surge in 2022, which saw 14,472 units. Furthermore, automobile and component manufacturers composed 33% of all industrial robot installations in the U.S. Consequently, the increased focus on automation is fueling the growth of generative artificial intelligence in the engineering market.

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What is the future CAGR of the generative artificial intelligence (ai) in engineering market, and how will it impact industry expansion?
The market size for generative artificial intelligence (AI) within the engineering field has experienced significant growth over the recent past. The market is predicted to increase from a size of $0.97 billion in 2024 to $1.34 billion in 2025, boasting a compound annual growth rate (CAGR) of 38.0%. The surge experienced during the historic period is linked to several factors including enhanced computational capabilities, heightened focus on ethical considerations, a rise in deep learning, increased investment from venture capital firms, and an improved awareness of ethical implications.

The market for generative artificial intelligence (AI) in the engineering field is projected to experience tremendous expansion in the coming years, reaching a valuation of $4.84 billion in 2029. This growth, which represents a compound annual growth rate (CAGR) of 37.8%, can be traced back to factors such as the expansion of educational programs, the establishment of standards and regulations, the creation of seminal algorithms, as well as the proliferation of educational and research institutions and increasing collaboration across disciplines. Key trends anticipated during the forecast period encompass simulation and testing integration, advanced automated engineering workflows, virtual prototyping integration, customizable AI models, and the rise of intelligent engineering systems.

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What are the most significant trends transforming the generative artificial intelligence (ai) in engineering market today?
Leading firms in the generative artificial intelligence in engineering market are emphasizing on the creation of superior solutions such as a generative AI-centric platform that powers contemporary engineering to boost different facets of engineering as well as design processes. A platform that's enabled by generative AI for modern engineering is an advanced software system that utilizes generative artificial intelligence technologies. For instance, Cognizant Technology Solutions Corporation, an information technology firm based in the US, rolled out Cognizant Flowsource in February 2024, a platform powered by generative AI with the purpose of transforming enterprise software engineering. This platform consolidates every phase of the software development lifecycle, providing cross-functional engineering groups with digital tools and resources to enhance efficiency in producing high-quality codes, whilst increasing control and transparency throughout the whole procedure.

Which key market segments comprise the generative artificial intelligence (ai) in engineering market and drive its revenue growth?
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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What regions are at the forefront of generative artificial intelligence (ai) in engineering market expansion?
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.

Who are the leading players fueling growth in the generative artificial intelligence (ai) in engineering market?
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.

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What Is Covered In The Generative Artificial Intelligence (AI) In Engineering Global Market Report?

•Market Size Forecast: Examine the generative artificial intelligence (ai) in engineering market size across key regions, countries, product categories, and applications.
•Segmentation Insights: Identify and classify subsegments within the generative artificial intelligence (ai) in engineering market for a structured understanding.
•Key Players Overview: Analyze major players in the generative artificial intelligence (ai) in engineering market, including their market value, share, and competitive positioning.
•Growth Trends Exploration: Assess individual growth patterns and future opportunities in the generative artificial intelligence (ai) in engineering market.
•Segment Contributions: Evaluate how different segments drive overall growth in the generative artificial intelligence (ai) in engineering market.
•Growth Factors: Highlight key drivers and opportunities influencing the expansion of the generative artificial intelligence (ai) in engineering market.
•Industry Challenges: Identify potential risks and obstacles affecting the generative artificial intelligence (ai) in engineering market.
•Competitive Landscape: Review strategic developments in the generative artificial intelligence (ai) in engineering market, including expansions, agreements, and new product launches.

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