Agentic AI In Digital Engineering Market Report 2026

Agentic AI In Digital Engineering Market Overview

• Agentic AI In Digital Engineering market size has reached to $6.03 billion in 2025 • Expected to grow to $69.23 billion in 2030 at a compound annual growth rate (CAGR) of 62.7% • Growth Driver: The Growing Demand For Automation Fueling The Growth Of Market Due To Increasing Need For Intelligent Decision-Making • Market Trend: Transforming Business Processes With AI-Driven Automation • North America was the largest region in 2025.

What Is Covered Under Agentic AI In Digital Engineering Market?

Agentic artificial intelligence (AI) in digital engineering refers to AI systems that can operate independently, make decisions, and complete complex engineering tasks with minimal human intervention. Its purpose is to automate design, testing, and optimization processes, improving efficiency, accuracy, and innovation in digital product development. The main technologies of agentic AI in digital engineering are generative AI for engineering design, digital twins and AI-driven simulations, AI in robotics and automation, explainable AI (XAI) for engineering, and other technologies. Generative AI for engineering design uses algorithms to automatically generate innovative design solutions based on specified parameters, optimizing functionality, performance, and cost-efficiency. These technologies are implemented through various models, including on-premise and cloud-based deployments, and serve a wide range of applications such as product design and development, predictive engineering analytics, process automation and workflow optimization, AI-enhanced simulation and testing, intelligent infrastructure, smart manufacturing, and others. Major industry sectors utilizing these technologies include automotive and aerospace, energy and utilities, construction and civil engineering, electronics and semiconductors, healthcare and medical devices, and others.

What Is The Agentic AI In Digital Engineering Market Growth Forecast?

The agentic AI in digital engineering market size is expected to see exponential growth in the next few years. It will grow to $69.23 billion in 2030 at a compound annual growth rate (CAGR) of 62.7%. The growth in the forecast period can be attributed to complex product design requirements, expansion of smart manufacturing, demand for automated engineering validation, rising adoption of digital twins, integration of AI across product lifecycles. Major trends in the forecast period include autonomous engineering design systems, AI-driven digital twin optimization, self-learning engineering workflows, agent-based simulation and testing, explainable AI in engineering decisions.

Global Agentic AI In Digital Engineering Market Segmentation

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)

What Is The Driver Of The Agentic AI In Digital Engineering Market?

The growing demand for automation is expected to propel the growth of agentic AI in the digital engineering market going forward. Automation refers to the use of technology to perform tasks or processes with minimal human intervention, improving efficiency and accuracy. The rising demand for automation is driven by the need to reduce operational costs and minimize human errors across industries. Agentic AI in automation is used 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 that promotes robotics research, The total number of industrial robots in operational use worldwide was 4,664,000 units in 2024 – an increase of 9% compared to the previous year. Therefore, the growing demand for automation is driving the growth of agentic AI in the digital engineering market.

Key Players In The Global Agentic AI In Digital Engineering Market

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.

Global Agentic AI In Digital Engineering Market Trends and Insights

Major companies operating in the agentic AI in digital engineering market are focusing on developing technological advancements such as AI-driven digital labor platforms to enhance workforce productivity, streamline engineering processes, and enable intelligent task automation. An AI-driven digital labor platform uses autonomous AI agents to automate tasks, enhance decision-making, and optimize workflows in digital engineering, software development, and enterprise operations. For instance, in March 2025, Salesforce Inc., a US-based cloud-based software company, launched Agentforce 2dx, the latest version of its digital labor platform, enabling proactive AI agents to operate autonomously beyond chat interfaces. This upgrade allows seamless integration with existing data systems and business logic, empowering AI to anticipate needs, take action dynamically, and enhance efficiency, agility, and scalability.

What Are Latest Mergers And Acquisitions In The Agentic AI In Digital Engineering Market?

In January 2025, HCLTech Ltd., an India-based technology company, partnered with Salesforce Inc. to accelerate AI-driven innovation in enterprise applications. This partnership aims to revolutionize enterprise applications by transitioning from basic chatbots to advanced AI-driven agents that enhance customer experiences, improve operational efficiency, and drive innovation in agentic AI. Salesforce Inc. is a US-based software company that leverages Agentic AI to enhance automation, customer engagement, and enterprise workflows in digital engineering.

Regional Insights

North America was the largest region in the agentic AI in digital engineering market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Agentic AI In Digital Engineering Market?

The agentic AI in digital engineering market consists of revenues earned by entities by providing services such as generative design, autonomous simulation, and predictive maintenance. The market value includes the value of related goods sold by the service provider or included within the service offering. The agentic AI in digital engineering market also includes sales of simulation tools, smart sensors, and data analytics tools. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Agentic AI In Digital Engineering Market Report 2026?

The agentic ai in digital engineering market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the agentic ai in digital engineering industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.