PUBLISHER: The Business Research Company | PRODUCT CODE: 1750895
PUBLISHER: The Business Research Company | PRODUCT CODE: 1750895
Agentic artificial intelligence (AI) in digital engineering refers to AI systems capable of operating autonomously, making decisions, and completing complex engineering tasks with minimal human intervention. The goal is to automate processes such as design, testing, and optimization, enhancing efficiency, accuracy, and innovation in digital product development.
Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.
The primary technologies of agentic AI in digital engineering include generative AI for engineering design, digital twins and AI-driven simulations, AI in robotics and automation, explainable AI (XAI) for engineering, and other related technologies. Generative AI for engineering design uses algorithms to autonomously generate innovative design solutions based on specified parameters, optimizing factors such as functionality, performance, and cost-efficiency. These technologies are deployed through various models, including on-premise and cloud-based solutions, and serve a broad range of applications, such as product design and development, predictive engineering analytics, process automation and workflow optimization, AI-enhanced simulation and testing, intelligent infrastructure, and smart manufacturing. Major industries utilizing these technologies include automotive and aerospace, energy and utilities, construction and civil engineering, electronics and semiconductors, healthcare and medical devices, among others.
The agentic AI in digital engineering market research report is one of a series of new reports from The Business Research Company that provides agentic AI in digital engineering market statistics, including the agentic AI in digital engineering industry global market size, regional shares, competitors with the agentic AI in digital engineering market share, detailed agentic AI in digital engineering market segments, market trends, and opportunities, and any further data you may need to thrive in the agentic AI in digital engineering industry. This agentic AI in digital engineering market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.
The agentic AI in digital engineering market size has grown exponentially in recent years. It will grow from$3.69 billion in 2024 to $6.04 billion in 2025 at a compound annual growth rate (CAGR) of 64.0%. The growth observed in the historic period can be attributed to several factors, including the increasing demand for automation, the rise in computational power, the expansion of big data, the development of neural networks, growing research in cognitive computing, and the integration of AI in supply chain management.
The agentic AI in digital engineering market size is expected to see exponential growth in the next few years. It will grow to$43.43 billion in 2029 at a compound annual growth rate (CAGR) of 63.7%. The growth projected for the forecast period can be attributed to several factors, including increasing investments from private investors, rising demand for custom high-performance products, a growing number of venture capitalists, and expanding investments in AI research and development. Key trends expected in the forecast period include autonomous design systems, AI-driven generative design, the integration of quantum computing, real-time predictive analytics, AI-enhanced simulation and virtual prototyping, the use of AI for sustainability in engineering, digital twin integration, AI-driven customization, and the development of autonomous manufacturing systems.
The increasing demand for automation is expected to accelerate the growth of agentic AI in the digital engineering market. Automation refers to the use of technology to perform tasks or processes with minimal human intervention, which improves both efficiency and accuracy. The rising demand for automation is driven by the need to lower operational costs and reduce human errors across various industries. Agentic AI in automation enables systems to make independent, intelligent decisions and optimize processes. For example, in September 2023, the International Federation of Robotics, a Germany-based industry association promoting robotics research, reported that global industrial robot installations reached 553,052 units in 2022, reflecting a 5% increase year-over-year. Asia led the region with 73% of total installations, followed by Europe with 15% and the Americas with 10%. As a result, the growing demand for automation is fueling the expansion of agentic AI in the digital engineering market.
Key players in the agentic AI in digital engineering market are focusing on innovations such as AI-driven digital labor platforms to boost workforce productivity, streamline engineering processes, and enable intelligent task automation. These platforms use autonomous AI agents to automate tasks, improve decision-making, and optimize workflows across digital engineering, software development, and enterprise operations. For instance, in March 2025, Salesforce Inc., a U.S.-based cloud software company, launched Agentforce 2dx, the latest version of its digital labor platform. This upgrade allows AI agents to operate autonomously beyond chat interfaces, integrating seamlessly with existing data systems and business logic. It enables AI to anticipate needs, take action dynamically, and enhance efficiency, agility, and scalability.
In January 2025, HCLTech Ltd., an India-based technology company, partnered with Salesforce Inc. to accelerate AI-driven innovation in enterprise applications. This collaboration aims to transform enterprise applications by advancing from basic chatbots to sophisticated AI-driven agents that enhance customer experiences, improve operational efficiency, and drive innovation in agentic AI. Salesforce Inc. uses Agentic AI to enhance automation, customer engagement, and enterprise workflows in digital engineering.
Major players in the agentic AI in digital engineering market are Siemens AG, Accenture plc, NVIDIA Corporation, Capgemini SE, HCL Technologies Limited, Dassault Systemes, 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., and Orby AI Inc.
North America was the largest region in the agentic AI in digital engineering market in 2024. The regions covered in agentic AI in digital engineering report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
The countries covered in the agentic AI in digital engineering market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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.
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.
Agentic AI In Digital Engineering Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses on agentic ai in digital engineering market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for agentic ai in digital engineering ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The agentic ai in digital engineering market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.