Growing Emphasis On Automation Drives Growth In Generative AI For Engineering: A Key Catalyst Accelerating Global Generative Artificial Intelligence (AI) In Engineering Market Growth in 2025

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Generative Artificial Intelligence (AI) In Engineering Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size for generative artificial intelligence (AI) within the engineering sector has seen a remarkable expansion in the past few years. In terms of growth, it's expected to rise from $0.97 billion in 2024 to $1.33 billion in 2025, indicating a compound annual growth rate (CAGR) of 37.4%. This substantial growth during the historical period is a result of several factors such as the surge in computational capabilities, heightened emphasis on ethical considerations, the rise of deep learning, an increase in venture capital investments, and the growing awareness of ethical implications.

Generative Artificial Intelligence (AI) In Engineering Market Size Forecast: What's the Projected Valuation by 2029?
The market size of generative artificial intelligence (ai) in engineering is predicted to experience a substantial increase in the upcoming years. Estimates suggest an expansion to $4.75 billion by 2029, with a compound annual growth rate (CAGR) of 37.3%. This growth during the prediction timeframe is linked to the expansion of educational programs, development of standards and rules, evolution of core algorithms, research and academic institutions, along with broadening cross-disciplinary cooperation. Key trends projected for this period comprise incorporation with simulation and testing, advanced automated engineering workflow, integration with virtual prototyping, customizable AI models, and creation of intelligent engineering systems.

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What Are the Drivers Transforming the Generative Artificial Intelligence (AI) In Engineering Market?
The increasing focus on automation is anticipated to bolster the generative artificial intelligence in the engineering market's expansion in the future. Automation involves employing technologies such as machinery, software, or robotics to execute duties or processes with limited human interference. This growing inclination towards automation arises from a desire to increase effectiveness, decrease expenses, guarantee uniform quality, improve safety, and secure a competitive advantage in an evolving global and data-influenced market. Generative AI in engineering aids automation by designing and refining intricate systems, producing inventive remedies, and automating monotonous tasks, hence quickening the development procedure and boosting productivity. For instance, a report published by the International Federation of Robotics, a non-governmental organization based in Germany, revealed that U.S automotive sales increased by 1% in April 2024, with a total of 14,678 robots installed. This growth followed a 47% rise in 2022, which witnessed 14,472 units. Moreover, automobile and component producers made up 33% of all industrial robot installations in the U.S. As such, the increasing stress on automation is fueling the growth of the generative artificial intelligence market in engineering.

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What Long-Term Trends Will Define the Future of the Generative Artificial Intelligence (AI) In Engineering Market?
Prominent businesses in the generative artificial intelligence in engineering market are concentrating their efforts on creating advanced solutions, including a generative AI-driven platform to power contemporary engineering, in order to improve various elements of engineering and design procedures. This generative AI-driven platform is a complex software system that utilizes generative artificial intelligence technology. As an example, in February 2024, Cognizant Technology Solutions Corporation, an American IT firm, introduced Cognizant Flowsource, which is an innovative AI-based platform designed to transform enterprise software engineering. This platform integrates every part of the software development lifecycle, providing multi-functional engineering teams with necessary tools and digital resources for enhancing productivity and delivering high-quality code. It also increases control and transparency throughout the process.

Which Segments in the Generative Artificial Intelligence (AI) In Engineering Market Offer the Most Profit Potential?
The generative artificial intelligence (ai) in engineeringmarket 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 Firms Dominate the Generative Artificial Intelligence (AI) In Engineering Market by Market Share and Revenue in 2025?
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.

Which Regions Offer the Highest Growth Potential in the Generative Artificial Intelligence (AI) In Engineering Market?
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.

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