Growing Emphasis On Automation Drives Growth In Generative AI For Engineering Driver: A Major Catalyst in the Evolution of the Generative Artificial Intelligence (AI) In Engineering Market in 2025

How Is the Generative Artificial Intelligence (AI) In Engineering Market Projected to Grow, and What Is Its Market Size?
The market size of generative artificial intelligence (AI) in engineering has seen immense growth in the last few years. The market is predicted to expand from $0.97 billion in 2024 to $1.34 billion in 2025, exhibiting a compound annual growth rate (CAGR) of 38.0%. Factors such as enhanced computational power, heightened focus on moral concerns, growth in deep learning, increased funding by venture capital firms, and a rise in awareness about ethical ramifications have all contributed to the growth experienced during the historical period.

There is an anticipation for the generative artificial intelligence (AI) market in the engineering sector to experience an extraordinary expansion in the coming years. The market size is projected to escalate to $4.84 billion by 2029 with a compound annual growth rate (CAGR) of 37.8%. Various factors are contributing to this projected rise in the forecast period, such as the upsurge of educational initiatives, establishment of standards and regulations, progress in fundamental algorithms, educational and research institutions, and increasing inter-disciplinary collaboration. Prominent trends in the forecast period encompass the amalgamation with simulation and testing, refined automated engineering workflow, incorporation of virtual prototyping, tailorable AI models, and the emergence of intelligent engineering systems.

What Are the Key Drivers Behind the Growth of the Generative Artificial Intelligence (AI) In Engineering Market?
The increasing focus on automation is anticipated to drive the expansion of the generative artificial intelligence (AI) field in the engineering industry in the future. Automation involves the use of technological tools such as machinery, software, or robotics for carrying out tasks with little to no human intervention. This heightened focus on automation stems from the necessity to enhance efficiency, decrease expenses, guarantee consistent quality, improve safety, and secure a competitive advantage in an increasingly globalized and data-centric market. In engineering, generative AI aids automation by creating and fine-tuning complex structures, developing novel solutions, and mechanizing monotonous tasks, thereby speeding up the production process and amplifying productivity. For instance, in April 2024, reported by the International Federation of Robotics, a non-governmental organization based in Germany, U.S. vehicle sales increased by 1%, which corresponds to the installation of 14,678 robots, following a 47% surge in 2022, which saw 14,472 units deployed. Moreover, 33% of all industrial robot installations in the U.S. were attributed to automobile and component producers. Consequently, the reinforced focus on automation is fostering the expansion of the generative AI field in the engineering sector.

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Who Are the Major Industry Players Fueling Generative Artificial Intelligence (AI) In Engineering Market Expansion?
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 Emerging Trends in the Generative Artificial Intelligence (AI) In Engineering Industry?
A focus on developing advanced solutions, such as generative AI-enabled platforms that enhance modern engineering, is evident among the major players in the generative artificial intelligence in engineering market. These platforms use sophisticated software systems that employ generative artificial intelligence technologies to improve various aspects of the engineering and design procedures. For example, Cognizant Technology Solutions Corporation, a prominent U.S. IT firm, propelled itself into the future of enterprise software engineering in February 2024, with the launch of Cognizant Flowsource. This generative AI-enabled platform redefines the entire software development lifecycle, providing cross-functional engineering teams with the necessary tools and digital resources. Not only does this increase the efficiency of delivering high-quality code, it also enhances control and transparency at all stages of the process.

How Is the Segmentation of the Generative Artificial Intelligence (AI) In Engineering Market Defined?
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 Is the Leading Region 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.

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

- Market Size Analysis: Analyze the generative artificial intelligence (ai) in engineering Market size by key regions, countries, product types, and applications.
- Market Segmentation Analysis: Identify various subsegments within the generative artificial intelligence (ai) in engineering Market for effective categorization.
- Key Player Focus: Focus on key players to define their market value, share, and competitive landscape.
- Growth Trends Analysis: Examine individual growth trends and prospects in the market.
- Market Contribution: Evaluate contributions of different segments to the overall generative artificial intelligence (ai) in engineering market growth.
- Growth Drivers: Detail key factors influencing market growth, including opportunities and drivers.
- Industry Challenges: Analyze challenges and risks affecting the generative artificial intelligence (ai) in engineering market.
- Competitive Developments: Analyze competitive developments, such as expansions, agreements, and new product launches in the market.

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