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Agentic AI In Digital Engineering Market Poised To Hit $69.23 Billion By 2030 With A 62.7% CAGR
The market for agentic AI in digital engineering has experienced substantial growth in recent years. This market is expected to expand from $6.03 billion in 2025 to $9.87 billion in 2026, exhibiting a compound annual growth rate (CAGR) of 63.8%. Historically, this growth has been driven by factors such as the adoption of computer-aided design, the evolution of digital engineering tools, the proliferation of simulation software, early integration of AI in engineering, and the rising demand for faster product development.
The agentic AI in digital engineering market size is anticipated to experience substantial expansion over the upcoming years. This market is projected to reach $69.23 billion in 2030, demonstrating a compound annual growth rate (CAGR) of 62.7%. Factors contributing to this growth during the forecast period include the intricate demands of product design, the broadening scope of smart manufacturing, a need for automated engineering validation, increasing implementation of digital twins, and the widespread incorporation of AI throughout product lifecycles. Key trends predicted for the same period encompass autonomous engineering design systems, AI-powered digital twin optimization, self-learning engineering workflows, agent-based simulation and testing methods, and explainable AI in engineering decision-making.
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Agentic AI In Digital Engineering Market Growth Factors: What’s Supporting Expansion?
The increasing requirement for automation is anticipated to drive the expansion of agentic AI within the digital engineering market in the future. Automation involves employing technology to execute tasks or procedures with very little human involvement, thereby enhancing both efficiency and precision. This increasing need for automation stems from the imperative to lower operating expenses and diminish human mistakes across various industries. Within automation, agentic AI serves to empower systems to render autonomous, smart decisions and streamline operations. As an illustration, the International Federation of Robotics, a Germany-based industry association that promotes robotics research, reported that in September 2025, the global count of industrial robots actively deployed reached 4,664,000 units in 2024, marking a 9% rise from the preceding year. Consequently, the escalating need for automation is fueling the development of agentic AI within the digital engineering market.
Agentic AI In Digital Engineering Market Segment Landscape And Growth Outlook
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 Industry Trends: What’s Reshaping Demand?
Prominent companies within the agentic AI in digital engineering market are concentrating on developing technological innovations like AI-powered digital labor platforms to improve workforce output, simplify engineering procedures, and facilitate intelligent task automation. An AI-driven digital labor platform employs autonomous AI agents to automate assignments, strengthen decision-making, and optimize processes in digital engineering, software development, and enterprise operations. For instance, in March 2025, Salesforce Inc., a US-based cloud-based software company, released Agentforce 2dx, the newest iteration of its digital labor platform, enabling proactive AI agents to operate independently beyond traditional chat interfaces. This particular update ensures effortless integration with existing data systems and business logic, empowering AI to foresee needs, react dynamically, and boost efficiency, agility, and scalability.
Agentic AI In Digital Engineering Market Competitive Landscape: Who Leads The Industry?
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 Regional Analysis: Which Geography Leads On Revenue?
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.
