세계의 디지털 엔지니어링 분야 에이전틱 AI 시장 보고서(2025년)
Agentic AI In Digital Engineering Global Market Report 2025
상품코드 : 1750895
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

디지털 엔지니어링 분야 에이전틱 AI 시장 규모는 향후 수 년간 비약적인 성장이 예상될 예정입니다. 민간 투자자들의 투자 증가, 맞춤형 고성능 제품에 대한 수요 증가, 벤처 캐피털리스트의 증가, AI 연구 개발 투자 확대 등 여러 요인에 기인할 수 있습니다. 예측 기간에 예상되는 주요 동향으로는 자율 설계 시스템, AI 주도의 제네레이티브 디자인, 양자 컴퓨팅의 통합, 실시간 예측 분석, AI에 의한 시뮬레이션과 가상 프로토타이핑, 엔지니어링에서의 지속가능성을 위한 AI의 이용, 디지털 트윈의 통합 등 AI 주도의 커스터마이즈, 자율형 제조 시스템이 포함됩니다.

자동화에 대한 수요 증가는 디지털 엔지니어링 분야 에이전틱 AI 시장의 성장을 가속화할 것으로 예측됩니다. 자동화에 대한 수요가 증가하고 있는 배경에는 다양한 산업에서 운영 비용을 줄이고 인적 오류를 줄일 필요가 있습니다. 예를 들어, 2023년 9월 독일을 거점으로 로봇 연구를 추진하는 업계 단체인 국제 로봇 연맹은 2022년 세계 산업용 로봇 도입 대수가 55만 3,052대에 달하고, 전년대비 5% 증가를 반영했다고 보고 설치 대수 전체의 73%를 아시아가 차지하고, 이어서 유럽이 15%, 아메리카가 10% 차지했습니다.

디지털 엔지니어링 분야 에이전틱 AI 시장의 주요 기업은 노동 생산성을 높이고 엔지니어링 프로세스를 합리화하고 지능적인 작업 자동화를 가능하게 하는 AI 구동형 디지털 노동 플랫폼 등의 혁신에 주력하고 있습니다. 태스크를 자동화하고 의사결정을 개선하고 디지털 엔지니어링, 소프트웨어 개발, 기업 운영에 걸친 워크플로우를 최적화합니다. 2025년 3월, 미국에 본사를 둔 클라우드 소프트웨어 회사인 Salesforce는 디지털 노동 플랫폼의 최신 버전인 Agentforce 2dx를 출시했습니다. 이 업그레이드를 통해 AI 에이전트는 기존 데이터 시스템과 비즈니스 로직과 원활하게 통합되어 채팅 인터페이스를 넘어 자율적으로 작동 할 수 있습니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 태와 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

SHW
영문 목차

영문목차

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.

Reasons to Purchase

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.

Scope

Table of Contents

1. Executive Summary

2. Agentic AI In Digital Engineering Market Characteristics

3. Agentic AI In Digital Engineering Market Trends And Strategies

4. Agentic AI In Digital Engineering Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Agentic AI In Digital Engineering Growth Analysis And Strategic Analysis Framework

6. Agentic AI In Digital Engineering Market Segmentation

7. Agentic AI In Digital Engineering Market Regional And Country Analysis

8. Asia-Pacific Agentic AI In Digital Engineering Market

9. China Agentic AI In Digital Engineering Market

10. India Agentic AI In Digital Engineering Market

11. Japan Agentic AI In Digital Engineering Market

12. Australia Agentic AI In Digital Engineering Market

13. Indonesia Agentic AI In Digital Engineering Market

14. South Korea Agentic AI In Digital Engineering Market

15. Western Europe Agentic AI In Digital Engineering Market

16. UK Agentic AI In Digital Engineering Market

17. Germany Agentic AI In Digital Engineering Market

18. France Agentic AI In Digital Engineering Market

19. Italy Agentic AI In Digital Engineering Market

20. Spain Agentic AI In Digital Engineering Market

21. Eastern Europe Agentic AI In Digital Engineering Market

22. Russia Agentic AI In Digital Engineering Market

23. North America Agentic AI In Digital Engineering Market

24. USA Agentic AI In Digital Engineering Market

25. Canada Agentic AI In Digital Engineering Market

26. South America Agentic AI In Digital Engineering Market

27. Brazil Agentic AI In Digital Engineering Market

28. Middle East Agentic AI In Digital Engineering Market

29. Africa Agentic AI In Digital Engineering Market

30. Agentic AI In Digital Engineering Market Competitive Landscape And Company Profiles

31. Agentic AI In Digital Engineering Market Other Major And Innovative Companies

32. Global Agentic AI In Digital Engineering Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Agentic AI In Digital Engineering Market

34. Recent Developments In The Agentic AI In Digital Engineering Market

35. Agentic AI In Digital Engineering Market High Potential Countries, Segments and Strategies

36. Appendix

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