The Growing Demand For Automation Fueling The Growth Of Market Due To Increasing Need For Intelligent Decision-Making: The Driving Engine Behind Agentic AI In Digital Engineering Market Evolution in 2025

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Agentic AI In Digital Engineering Market Size Valuation Forecast: What Will the Market Be Worth by 2025?
The market size for agentic ai in digital engineering has observed a significant increase recently, and is predicted to expand from $3.69 billion in 2024 to $6.03 billion in 2025, showcasing an impressive compound annual growth rate of 63.5%. Factors contributing to this growth during the historical period include the growing demand for automation, enhanced computational capabilities, the emergence of big data, advancements in neural networks, intensified research into cognitive computing and the implementation of AI in supply chain management.

Agentic AI In Digital Engineering Market Size Forecast: What's the Projected Valuation by 2029?
The market size of agentic AI in digital engineering is projected to experience substantial expansion in the upcoming years, escalating to a worth of $42.82 billion in 2029 at a CAGR of 63.3%. This upward trend during the forecast period can be credited to the uptick in private investment, the surging demand for unique high-performance goods, an increase in venture capital participation, along with a rise in investments in AI research and development. Key trends identified for the forecast period encompass autonomous design systems, generative design powered by AI, quantum computing integration, predictive analytics in real-time, AI-enhanced simulation and virtual prototyping, AI usage for sustainability in engineering, digital twin incorporation, customization driven by AI, and autonomous manufacturing systems.

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What Are the Drivers Transforming the Agentic AI In Digital Engineering Market?
The escalating need for automation is set to accelerate the progression of agentic AI in the digital engineering market. This term pertains to employing technology to execute tasks with minimal human interference, thereby enhancing precision and productivity. The surging need for automation stems from the desire to diminish operational expenses and limit human errors across diverse sectors. In the context of automation, agentic AI is utilized to allow systems to make autonomous, smart decisions and refine processes. For example, as per the data from the International Federation of Robotics, an association based in Germany promoting robotics research, there has been a rise in global industrial robot installations by 5% annually, hitting 553,052 units in 2022. Within the geographical distribution, Asia emerged as the leader with 73% of overall installations, while Europe contributed 15% and the Americas pitched in with 10%. Thus, the escalating demand for automation is propelling the expansion of agentic AI in the digital engineering market.

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What Long-Term Trends Will Define the Future of the Agentic AI In Digital Engineering Market?
In the agentic AI in digital engineering market, major players are concentrating on the creation of technological advancements such as digital labour platforms driven by AI, with aims to improve workforce productivity, simplify engineering processes, and allow intelligent automation of tasks. These AI-driven digital labour platforms utilize autonomous AI agents to automate tasks, foster better decision-making, and optimize workflows across digital engineering, software development, and enterprise operations. For example, in March 2025, Salesforce Inc., an American cloud-based software company, introduced Agentforce 2dx, its latest digital labour platform iteration that allows proactive AI agents to function independently beyond standard chat interfaces. This improved version facilitates effortless integration with pre-existing data systems and business logic, allowing AI to foresee requirements, dynamically take actions, and improve efficiency, agility, and scalability.

Which Segments in the Agentic AI In Digital Engineering Market Offer the Most Profit Potential?
The agentic ai in digital engineeringmarket covered in this report is segmented -

1) By Technology: Generative AI For Engineering Design, Digital Twins And Ai-Driven Simulations, Ai In Robotics And Automation, Explainable AI (Xai) For Engineering, Other Technologies
2) By Deployment Model: On-Premise, Cloud-Based
3) By Application: Product Design And Development, Predictive Engineering Analytics, Process Automation And Workflow Optimization, Ai-Augmented Simulation And Testing, Intelligent Infrastructure And Smart Manufacturing, Other Applications
4) By Industry Vertical: Automotive And Aerospace, Energy And Utilities, Construction And Civil Engineering, Electronics And Semiconductor, Healthcare And Medical Devices, Other Industry Verticals

Subsegments:
1) By Generative AI For Engineering Design: Algorithm-Driven Design Generation, Parametric And Topology Optimization, Design Space Exploration, Product Lifecycle Management
2) By Digital Twins And AI-Driven Simulations: Virtual Prototyping, Predictive Maintenance And Diagnostics, Real-Time Monitoring And Analysis, Simulation-Based Optimization
3) By AI In Robotics And Automation: Autonomous Manufacturing Systems, Robotic Process Automation (RPA), AI-Powered Collaborative Robots (Cobots), AI-Driven Supply Chain Robotics
4) By Explainable AI (XAI) For Engineering: Transparent Decision-Making Models, Model Interpretability In Engineering Systems, AI Model Validation And Verification, Trust And Compliance In AI Systems
5) By Other Technologies: AI-Enhanced Augmented Reality (AR) For Design, AI In Additive Manufacturing (3D Printing), Cognitive Engineering And Problem-Solving AI, AI-Powered Computational Fluid Dynamics (CFD)

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Which Firms Dominate the Agentic AI In Digital Engineering Market by Market Share and Revenue in 2025?
Major companies operating in the agentic AI in digital engineering market are Siemens AG, accenture* plc, NVIDIA Corporation, Capgemini SE, HCL Technologies Limited, Dassault Systèmes, PTC Inc., UiPath Inc., Persistent Systems Limited, GlobalLogic Inc., Altair Engineering Inc., Kent PLC, PagerDuty, Cigniti Technologies Limited, Indium Software Limited, Aisera Inc., Sinequa SAS, Adept AI Labs Inc., Ampcome Technologies Pvt. Ltd., Orby AI Inc.

Which Regions Offer the Highest Growth Potential in the Agentic AI In Digital Engineering Market?
North America was the largest region in the agentic AI in digital engineering market in 2024. The regions covered in the agentic AI in digital engineering market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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