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市場調查報告書
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1978041

2026年全球數位工程領域機構人工智慧市場報告

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個工作天內

價格
簡介目錄

近年來，數位工程領域人工智慧（AI）的市場規模迅速擴張。預計該市場規模將從2025年的60.3億美元成長到2026年的98.7億美元，複合年成長率（CAGR）高達63.8%。過去幾年的成長主要歸功於電腦輔助設計（CAD）的普及、數位工程工具的演進、模擬軟體的興起、人工智慧在工程領域的早期應用以及對更快產品開發的需求。

預計未來幾年，數位工程領域代理人工智慧的市場規模將快速成長，到2030年將達到692.3億美元，複合年成長率（CAGR）為62.7%。預測期內的成長要素包括日益複雜的產品設計需求、智慧製造的擴展、對自動化工程檢驗的需求、數位雙胞胎的日益普及以及人工智慧在整個產品生命週期中的整合。預測期內的關鍵趨勢包括自主工程設計系統、人工智慧驅動的數位雙胞胎最佳化、自學習工程工作流程、基於代理的模擬和測試以及工程決策中的可解釋人工智慧。

未來幾年，對自動化日益成長的需求預計將推動數位工程領域代理人工智慧的發展。自動化是指利用科技在最大限度減少人為干預的情況下執行任務和流程，從而提高效率和準確性。這種日益成長的需求源自於各行各業降低營運成本和減少人為錯誤的迫切需求。自動化領域的基於代理的人工智慧能夠幫助系統做出自主智慧決策並最佳化工作流程。例如，根據國際機器人聯合會（致力於推動機器人研究的德國產業組織）於2025年9月發布的報告，到2024年，全球工業運作中的總數將達到466.4萬台，比前一年成長9%。因此，對自動化日益成長的需求正在推動數位工程領域代理人工智慧的擴展。

數位工程領域的關鍵人工智慧參與者正專注於創新技術，例如人工智慧驅動的數位工作平台，以提高勞動生產力、簡化工程流程並實現智慧任務的自動化。這些平台利用自主人工智慧代理來自動化任務、改善決策並最佳化數位工程、軟體開發和整體業務營運的工作流程。例如，總部位於美國的雲端軟體公司銷售團隊於 2025 年 3 月發布了其數位工作平台的最新版本「Agentforce 2dx」。此次升級使人工智慧代理能夠超越聊天介面自主運行，並與現有數據系統和業務邏輯無縫整合。這使得人工智慧能夠預測需求、動態回應，並提高效率、敏捷性和擴充性。

目錄

第1章：執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球數位工程領域人工智慧代理市場：吸引力評分與分析
  • 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 清單：主要原料、資源和供應商
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章：全球市場趨勢與策略

  • 關鍵科技與未來趨勢
    • 人工智慧（AI）和自主人工智慧
    • 工業4.0和智慧製造
    • 數位化、雲端運算、巨量資料、網路安全
    • 自主系統、機器人、智慧運輸
    • 物聯網、智慧基礎設施、互聯生態系統
  • 主要趨勢
    • 自主工程設計系統
    • 人工智慧驅動的數位雙胞胎最佳化
    • 自學習工程工作流程
    • 基於代理的仿真和測試
    • 工程決策中的可解釋人工智慧

第5章 終端用戶產業市場分析

  • 汽車和航太製造商
  • 電子和半導體公司
  • 建築和基礎設施公司
  • 能源和公共產業公司
  • 工業工程服務提供者

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球數位工程機構人工智慧市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球數位工程機構人工智慧市場規模、對比及成長率分析
  • 全球數位工程機構人工智慧市場表現：規模與成長，2020-2025年
  • 全球數位工程機構人工智慧市場預測：規模與成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

  • 透過技術
  • 用於工程設計的生成式人工智慧、數位雙胞胎和人工智慧驅動的模擬、機器人和自動化領域的人工智慧、用於工程的可解釋人工智慧（XAI）以及其他技術
  • 按部署模式
  • 本機部署、雲端部署
  • 透過使用
  • 產品設計與開發、預測工程分析、流程自動化與工作流程最佳化、人工智慧增強的模擬與測試、智慧基礎設施與智慧製造等應用領域。
  • 按行業
  • 汽車與航太、能源與公共產業、電子與半導體、醫療與醫療設備等產業領域
  • 按類型細分：用於工程設計的生成式人工智慧
  • 演算法驅動的設計產生、參數化與拓樸最佳化、設計空間探索、產品生命週期管理
  • 按類型細分：數位雙胞胎和人工智慧驅動的仿真
  • 虛擬原型製作、預測性維護和診斷、即時監控和分析、基於模擬的最佳化
  • 按類型細分：機器人和自動化領域的人工智慧
  • 自主製造系統、機器人流程自動化（RPA）、人工智慧驅動的協作機器人（cobot）、人工智慧驅動的供應鏈機器人
  • 按類型細分：工程領域可解釋人工智慧 (XAI)
  • 透明的決策模型、工程系統中模型的可解釋性、人工智慧模型的檢驗和確認、人工智慧系統的可靠性和合規性。
  • 按類型細分：其他技術
  • AI擴增擴增實境（AR）在設計上的應用、AI在積層製造（3D列印）的應用、認知工程與問題解決型AI、AI驅動的計算流體力學（CFD）

第10章 市場與產業指標：依國家分類

第11章 區域與國別分析

  • 全球數位工程領域機構人工智慧市場：按地區分類，實際結果和預測（2020-2025年、2025-2030年預測、2035年預測）
  • 全球數位工程機構人工智慧市場：按國家/地區分類，實際值和預測值，2020-2025 年、2025-2030 年預測值、2035 年預測值

第12章 亞太市場

第13章：中國市場

第14章：印度市場

第15章：日本市場

第16章：澳洲市場

第17章：印尼市場

第18章：韓國市場

第19章 台灣市場

第20章：東南亞市場

第21章 西歐市場

第22章英國市場

第23章：德國市場

第24章：法國市場

第25章：義大利市場

第26章：西班牙市場

第27章 東歐市場

第28章：俄羅斯市場

第29章 北美市場

第30章：美國市場

第31章：加拿大市場

第32章：南美洲市場

第33章：巴西市場

第34章 中東市場

第35章：非洲市場

第36章 市場監理與投資環境

第37章：競爭格局與公司概況

  • 數位工程領域代理人工智慧市場：競爭格局與市場佔有率，2024 年
  • 數位工程領域代理人工智慧市場：公司估值矩陣
  • 數位工程領域代理人工智慧市場：公司概況
    • Siemens AG
    • Accenture plc
    • NVIDIA Corporation
    • Capgemini SE
    • HCL Technologies Limited

第38章 其他大型企業和創新企業

  • 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 全球市場競爭基準分析與儀錶板

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

  • 2030年數位工程領域人工智慧代理市場：提供新機會的國家
  • 2030年數位工程領域人工智慧代理市場：提供新機會的細分市場
  • 2030 年數位工程領域機構人工智慧市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第42章附錄

簡介目錄
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
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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