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Agentic AI In Digital Engineering Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The market size for agentic AI in digital engineering has seen exponential growth recently. It is forecast to increase from $6.03 billion in 2025 to $9.87 billion in 2026, achieving a compound annual growth rate (CAGR) of 63.8%. The expansion observed in past periods is a result of factors including computer-aided design adoption, the progression of digital engineering tools, the rise of simulation software, early AI integration in engineering, and the demand for accelerated product development.
The market size for agentic AI in digital engineering is projected to experience substantial growth in the upcoming years. This market is set to reach $69.23 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 62.7%. The anticipated expansion during the forecast period is driven by factors such as intricate product design demands, the proliferation of smart manufacturing, the necessity for automated engineering validation, increasing uptake of digital twins, and the incorporation of AI throughout product lifecycles. Key trends identified for this period encompass autonomous engineering design systems, optimization of digital twins powered by AI, self-learning approaches in engineering workflows, simulation and testing based on agents, and the application of explainable AI in engineering decision-making.
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#Agentic AI In Digital Engineering Market Growth Factors: Which Forces Are Supporting Market Expansion?
The increasing demand for automation is projected to boost the growth of agentic AI in the digital engineering market in the future. Automation signifies the application of technology to execute tasks or processes with minimal human involvement, thereby enhancing both efficiency and accuracy. This rising need for automation is driven by the imperative to reduce operational costs and minimize human errors across diverse industries. Agentic AI, when integrated into automation, is utilized to enable systems to make independent, intelligent decisions and optimize processes. For instance, in September 2025, according to the International Federation of Robotics, a Germany-based industry association dedicated to promoting robotics research, the worldwide operational stock of industrial robots totaled 4,664,000 units in 2024 – marking a 9% increase compared to the previous year. Therefore, the escalating demand for automation is propelling the expansion of agentic AI in the digital engineering market.
Agentic AI In Digital Engineering Market Segment Performance And Strategic Opportunities
The agentic AI in digital engineering market 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)
#Agentic AI In Digital Engineering Market Trends Influencing Long-Term Demand
Leading companies operating within the agentic AI in digital engineering market are concentrating on developing technological advancements, specifically AI-driven digital labor platforms. These efforts aim to improve workforce productivity, optimize engineering processes, and enable intelligent automation of tasks. An AI-driven digital labor platform utilizes autonomous AI agents to automate tasks, refine decision-making processes, and streamline workflows across digital engineering, software development, and broader enterprise operations. For example, in March 2025, Salesforce Inc., a US-based cloud-based software company, launched Agentforce 2dx, the latest iteration of its digital labor platform. This new version enables proactive AI agents to operate autonomously beyond traditional chat interfaces. The upgrade ensures seamless integration with existing data systems and business logic, empowering AI to anticipate needs, take dynamic actions, and ultimately enhance efficiency, agility, and scalability.
Agentic AI In Digital Engineering Market Key Players: Which Companies Shape Industry Competition?
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.
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Agentic AI In Digital Engineering Market Geographic Analysis: Where Is Demand Growing The Fastest?
North America was the largest region in the agentic AI in digital engineering market in 2025. The regions covered in the agentic AI in digital engineering market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.