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市场调查报告书
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1978041

2026年全球数位工程领域机构人工智慧市场报告

Agentic AI In Digital Engineering Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，数位工程领域人工智慧（AI）的市场规模迅速扩张。预计该市场规模将从2025年的60.3亿美元成长到2026年的98.7亿美元，复合年增长率（CAGR）高达63.8%。过去几年的成长主要归功于电脑辅助设计（CAD）的普及、数位工程工具的演进、模拟软体的兴起、人工智慧在工程领域的早期应用以及对更快产品开发的需求。

预计未来几年，数位工程领域代理人工智慧的市场规模将快速成长，到2030年将达到692.3亿美元，复合年增长率（CAGR）为62.7%。预测期内的成长要素包括日益复杂的产品设计需求、智慧製造的扩展、对自动化工程检验的需求、数位双胞胎的日益普及以及人工智慧在整个产品生命週期中的整合。预测期内的关键趋势包括自主工程设计系统、人工智慧驱动的数位双胞胎优化、自学习工程工作流程、基于代理的模拟和测试以及工程决策中的可解释人工智慧。

未来几年，对自动化日益增长的需求预计将推动数位工程领域代理人工智慧的发展。自动化是指利用科技在最大限度减少人为干预的情况下执行任务和流程，从而提高效率和准确性。这种日益增长的需求源自于各行各业降低营运成本和减少人为错误的迫切需求。自动化领域的基于代理的人工智慧能够帮助系统做出自主智慧决策并优化工作流程。例如，根据国际机器人联合会（致力于推动机器人研究的德国产业组织）于2025年9月发布的报告，到2024年，全球工业运作中的总数将达到466.4万台，比前一年增长9%。因此，对自动化日益增长的需求正在推动数位工程领域代理人工智慧的扩展。

数位工程领域的关键人工智慧参与者正专注于创新技术，例如人工智慧驱动的数位工作平台，以提高劳动生产力、简化工程流程并实现智慧任务的自动化。这些平台利用自主人工智慧代理来自动化任务、改善决策并优化数位工程、软体开发和整体业务营运的工作流程。例如，总部位于美国的云端软体公司销售团队于 2025 年 3 月发布了其数位工作平台的最新版本「Agentforce 2dx」。此次升级使人工智慧代理能够超越聊天介面自主运行，并与现有数据系统和业务逻辑无缝整合。这使得人工智慧能够预测需求、动态回应，并提高效率、敏捷性和扩充性。

目录

第一章：执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球数位工程领域人工智慧代理市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 工业4.0和智慧製造
    • 数位化、云端运算、巨量资料、网路安全
    • 自主系统、机器人、智慧运输
    • 物联网、智慧基础设施、互联生态系统
  • 主要趋势
    • 自主工程设计系统
    • 人工智慧驱动的数位双胞胎优化
    • 自学习工程工作流程
    • 基于代理的仿真和测试
    • 工程决策中的可解释人工智慧

第五章 终端用户产业市场分析

  • 汽车和航太製造商
  • 电子和半导体公司
  • 建筑和基础设施公司
  • 能源和公共产业公司
  • 工业工程服务提供者

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球数位工程机构人工智慧市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球数位工程机构人工智慧市场规模、对比及成长率分析
  • 全球数位工程机构人工智慧市场表现：规模与成长，2020-2025年
  • 全球数位工程机构人工智慧市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 透过技术
  • 用于工程设计的生成式人工智慧、数位双胞胎和人工智慧驱动的模拟、机器人和自动化领域的人工智慧、用于工程的可解释人工智慧（XAI）以及其他技术
  • 按部署模式
  • 本机部署、云端部署
  • 透过使用
  • 产品设计与开发、预测工程分析、流程自动化与工作流程最佳化、人工智慧增强的模拟与测试、智慧基础设施与智慧製造等应用领域。
  • 按行业
  • 汽车与航太、能源与公共产业、电子与半导体、医疗与医疗设备等产业领域
  • 按类型细分：用于工程设计的生成式人工智慧
  • 演算法驱动的设计产生、参数化与拓朴最佳化、设计空间探索、产品生命週期管理
  • 按类型细分：数位双胞胎和人工智慧驱动的仿真
  • 虚拟原型製作、预测性维护和诊断、即时监控和分析、基于模拟的最佳化
  • 按类型细分：机器人和自动化领域的人工智慧
  • 自主製造系统、机器人流程自动化（RPA）、人工智慧驱动的协作机器人（cobot）、人工智慧驱动的供应链机器人
  • 按类型细分：工程领域可解释人工智慧 (XAI)
  • 透明的决策模型、工程系统中模型的可解释性、人工智慧模型的检验和确认、人工智慧系统的可靠性和合规性。
  • 按类型细分：其他技术
  • AI扩增扩增实境（AR）在设计上的应用、AI在积层製造（3D列印）的应用、认知工程与问题解决型AI、AI驱动的计算流体力学（CFD）

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球数位工程领域机构人工智慧市场：按地区划分，实际结果和预测（2020-2025年、2025-2030年预测、2035年预测）
  • 全球数位工程机构人工智慧市场：按国家/地区划分，实际值和预测值，2020-2025 年、2025-2030 年预测值、2035 年预测值

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 数位工程领域代理人工智慧市场：竞争格局与市场份额，2024 年
  • 数位工程领域代理人工智慧市场：公司估值矩阵
  • 数位工程领域代理人工智慧市场：公司概况
    • Siemens AG
    • Accenture plc
    • NVIDIA Corporation
    • Capgemini SE
    • HCL Technologies Limited

第38章 其他大型企业和创新企业

  • 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., Orby AI Inc.

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年数位工程领域人工智慧代理市场：提供新机会的国家
  • 2030年数位工程领域人工智慧代理市场：提供新机会的细分市场
  • 2030 年数位工程领域机构人工智慧市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT5MAADE01_G26Q1

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.

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.

Tariffs have impacted the agentic AI in digital engineering market by increasing costs of high-performance computing hardware and specialized engineering software infrastructure. Engineering firms in North America and Asia Pacific are affected due to dependence on imported compute systems. Higher costs have influenced investment timelines for advanced simulation and design automation projects. Organizations are prioritizing high-impact engineering use cases. Tariffs are also encouraging development of regional engineering cloud platforms. This is strengthening domestic digital engineering capabilities and reducing long-term infrastructure dependency.

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 agentic AI in digital engineering industry global market size, regional shares, competitors with a 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 scenario of the industry.

The agentic AI in digital engineering market size has grown exponentially in recent years. It will grow from $6.03 billion in 2025 to $9.87 billion in 2026 at a compound annual growth rate (CAGR) of 63.8%. The growth in the historic period can be attributed to computer-aided design adoption, digital engineering tool evolution, growth of simulation software, early AI integration in engineering, demand for faster product development.

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.

The increasing demand for automation is expected to drive the growth of agentic AI in the digital engineering market in the coming years. Automation refers to the use of technology to carry out tasks or processes with minimal human involvement, improving efficiency and accuracy. The rising demand for automation is fueled by the need to lower operational costs and reduce human errors across different industries. Agentic AI in automation supports systems in making independent, intelligent decisions and optimizing workflows. For example, in September 2025, the International Federation of Robotics, a Germany-based industry association promoting robotics research, reported that the total number of industrial robots in operation worldwide reached 4,664,000 units in 2024, an increase of 9% from the previous year. Therefore, the growing demand for automation is contributing to 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 companies operating 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., Orby AI Inc.

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.

The countries covered in the agentic AI in digital engineering market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, 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 Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses 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

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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on end user analysis.
  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
  • Evaluate the total addressable market (TAM) and market attractiveness scoring to measure market potential.
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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, including technological disruption, regulatory shifts, and changing consumer preferences? 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered: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)
  • Companies Mentioned: 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.; Orby AI Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: Word, PDF or Interactive Report
  • + Excel Dashboard
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  • Expert Consultant Support

Added Benefits available all on all list-price licence purchases, to be claimed at time of purchase. Customisations within report scope and limited to 20% of content and consultant support time limited to 8 hours.

Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Agentic AI In Digital Engineering Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Agentic AI In Digital Engineering Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Agentic AI In Digital Engineering Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Agentic AI In Digital Engineering Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Industry 4.0 & Intelligent Manufacturing
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Autonomous Systems, Robotics & Smart Mobility
    • 4.1.5 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
  • 4.2. Major Trends
    • 4.2.1 Autonomous Engineering Design Systems
    • 4.2.2 AI-Driven Digital Twin Optimization
    • 4.2.3 Self-Learning Engineering Workflows
    • 4.2.4 Agent-Based Simulation And Testing
    • 4.2.5 Explainable AI In Engineering Decisions

5. Agentic AI In Digital Engineering Market Analysis Of End Use Industries

  • 5.1 Automotive And Aerospace Manufacturers
  • 5.2 Electronics And Semiconductor Companies
  • 5.3 Construction And Infrastructure Firms
  • 5.4 Energy And Utilities Providers
  • 5.5 Industrial Engineering Service Providers

6. Agentic AI In Digital Engineering Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Agentic AI In Digital Engineering Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Agentic AI In Digital Engineering PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Agentic AI In Digital Engineering Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Agentic AI In Digital Engineering Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Agentic AI In Digital Engineering Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Agentic AI In Digital Engineering Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Agentic AI In Digital Engineering Market Segmentation

  • 9.1. Global Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Generative AI For Engineering Design, Digital Twins And AI-Driven Simulations, AI In Robotics And Automation, Explainable AI (Xai) For Engineering, Other Technologies
  • 9.2. Global Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Premise, Cloud-Based
  • 9.3. Global Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Product Design And Development, Predictive Engineering Analytics, Process Automation And Workflow Optimization, AI-Augmented Simulation And Testing, Intelligent Infrastructure And Smart Manufacturing, Other Applications
  • 9.4. Global Agentic AI In Digital Engineering Market, Segmentation By Industry Vertical, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Automotive And Aerospace, Energy And Utilities, Construction And Civil Engineering, Electronics And Semiconductor, Healthcare And Medical Devices, Other Industry Verticals
  • 9.5. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Generative AI For Engineering Design, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Algorithm-Driven Design Generation, Parametric And Topology Optimization, Design Space Exploration, Product Lifecycle Management
  • 9.6. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Digital Twins And AI-Driven Simulations, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Virtual Prototyping, Predictive Maintenance And Diagnostics, Real-Time Monitoring And Analysis, Simulation-Based Optimization
  • 9.7. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of AI In Robotics And Automation, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Autonomous Manufacturing Systems, Robotic Process Automation (RPA), AI-Powered Collaborative Robots (Cobots), AI-Driven Supply Chain Robotics
  • 9.8. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Explainable AI (XAI) For Engineering, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Transparent Decision-Making Models, Model Interpretability In Engineering Systems, AI Model Validation And Verification, Trust And Compliance In AI Systems
  • 9.9. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Other Technologies, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 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)

10. Agentic AI In Digital Engineering Market, Industry Metrics By Country

  • 10.1. Global Agentic AI In Digital Engineering Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Agentic AI In Digital Engineering Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

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

  • 11.1. Global Agentic AI In Digital Engineering Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Agentic AI In Digital Engineering Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Agentic AI In Digital Engineering Market

  • 12.1. Asia-Pacific Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Agentic AI In Digital Engineering Market

  • 13.1. China Agentic AI In Digital Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Agentic AI In Digital Engineering Market

  • 14.1. India Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Agentic AI In Digital Engineering Market

  • 15.1. Japan Agentic AI In Digital Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Agentic AI In Digital Engineering Market

  • 16.1. Australia Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Agentic AI In Digital Engineering Market

  • 17.1. Indonesia Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Agentic AI In Digital Engineering Market

  • 18.1. South Korea Agentic AI In Digital Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Agentic AI In Digital Engineering Market

  • 19.1. Taiwan Agentic AI In Digital Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Agentic AI In Digital Engineering Market

  • 20.1. South East Asia Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Agentic AI In Digital Engineering Market

  • 21.1. Western Europe Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Agentic AI In Digital Engineering Market

  • 22.1. UK Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Agentic AI In Digital Engineering Market

  • 23.1. Germany Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Agentic AI In Digital Engineering Market

  • 24.1. France Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Agentic AI In Digital Engineering Market

  • 25.1. Italy Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Agentic AI In Digital Engineering Market

  • 26.1. Spain Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Agentic AI In Digital Engineering Market

  • 27.1. Eastern Europe Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Agentic AI In Digital Engineering Market

  • 28.1. Russia Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Agentic AI In Digital Engineering Market

  • 29.1. North America Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Agentic AI In Digital Engineering Market

  • 30.1. USA Agentic AI In Digital Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Agentic AI In Digital Engineering Market

  • 31.1. Canada Agentic AI In Digital Engineering Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Agentic AI In Digital Engineering Market

  • 32.1. South America Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Agentic AI In Digital Engineering Market

  • 33.1. Brazil Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Agentic AI In Digital Engineering Market

  • 34.1. Middle East Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Agentic AI In Digital Engineering Market

  • 35.1. Africa Agentic AI In Digital Engineering Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Agentic AI In Digital Engineering Market, Segmentation By Technology, Segmentation By Deployment Model, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Agentic AI In Digital Engineering Market Regulatory and Investment Landscape

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

  • 37.1. Agentic AI In Digital Engineering Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Agentic AI In Digital Engineering Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Agentic AI In Digital Engineering Market Company Profiles
    • 37.3.1. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Capgemini SE Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. HCL Technologies Limited Overview, Products and Services, Strategy and Financial Analysis

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

  • 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., Orby AI Inc.

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

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

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

  • 41.1. Agentic AI In Digital Engineering Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Agentic AI In Digital Engineering Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Agentic AI In Digital Engineering Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer