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1750895

2025年全球基於代理的人工智慧數位工程市場報告

Agentic AI In Digital Engineering Global Market Report 2025

出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

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簡介目錄

預計未來幾年,基於代理的數位工程人工智慧市場規模將呈指數級成長。到 2029 年,這一數字將成長到 434.3 億美元,年複合成長率(CAGR)為 63.7%。預測期內的成長受到多種因素的推動,包括私人投資者的投資增加、對客製化高性能產品的需求不斷成長、創業投資增加以及對人工智慧研發的投資不斷增加。預測期內預計的主要趨勢包括自主設計系統、人工智慧主導的衍生設計、量子運算整合、即時預測分析、人工智慧驅動的模擬和虛擬原型製作、人工智慧在工程永續性中的應用、數位雙胞胎整合、人工智慧主導製化以及自主製造系統的開發。

不斷成長的自動化需求預計將推動數位工程市場中基於代理的人工智慧的成長。自動化是指利用科技以最少的人為介入執行任務或流程,從而提高效率和準確性。不斷成長的自動化需求是由降低營運成本和減少各行業人為錯誤的需求所驅動。自動化中的基於代理的人工智慧使系統能夠做出獨立和智慧的決策並最佳化流程。例如,2023 年 9 月,國際機器人聯合會(總部位於德國的促進機器人研究的行業協會)報告稱,2022 年全球工業機器人的安裝量將達到 553,052 台,與前一年同期比較成長 5%。亞洲佔總安裝量的 73%,其次是歐洲(15%)和美洲(10%)。因此,不斷成長的自動化需求正在刺激數位工程市場中基於代理的人工智慧的擴張。

數位工程中基於代理的人工智慧市場的主要企業正專注於人工智慧驅動的數位勞動力平台等創新,這些平台可提高勞動生產力、簡化工程流程並實現智慧任務自動化。這些平台使用自主人工智慧代理來自動執行任務、改善決策並最佳化數位工程、軟體開發和企業營運中的工作流程。例如,美國雲端軟體公司銷售團隊於 2025 年 3 月宣布推出其數位勞動力平台的最新版本 Agentforce 2dx。此次升級使人工智慧代理能夠與現有數據系統和業務邏輯無縫整合,並在聊天介面之外自主運作。這使人工智慧能夠預測需求並採取動態行動,從而提高效率、敏捷性和擴充性。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景,包括利率、通膨、地緣政治、貿易戰和關稅,以及新冠疫情和復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球基於代理的數位工程人工智慧 PESTEL 分析(政治、社會、技術、環境、法律因素、促進因素和限制因素)
  • 最終用途產業分析
  • 全球數位工程市場中的基於代理的人工智慧:成長率分析
  • 全球基於代理的人工智慧數位工程市場表現:規模與成長,2019-2024
  • 全球基於代理的人工智慧數位工程市場預測:規模與成長,2024-2029 年,2034 年
  • 數位工程領域基於代理的人工智慧全球總可尋址市場 (TAM)

第6章市場區隔

  • 全球數位工程領域基於代理的人工智慧市場:按技術、性能和預測,2019-2024 年、2024-2029 年、2034 年
  • 工程設計的生成式人工智慧
  • 數位雙胞胎與人工智慧驅動的仿真
  • 機器人和自動化領域的人工智慧
  • 可解釋工程人工智慧(Xai)
  • 其他技術
  • 全球數位工程領域基於代理的人工智慧市場:按部署模型、結果和預測,2019-2024 年、2024-2029 年、2034 年
  • 本地
  • 雲端基礎
  • 全球數位工程領域基於代理的人工智慧市場:應用、效能及預測(2019-2024 年、2024-2029 年及 2034 年)
  • 產品設計與開發
  • 預測工程分析
  • 流程自動化和工作流程最佳化
  • 人工智慧驅動的模擬和測試
  • 智慧基礎設施和智慧製造
  • 其他用途
  • 全球數位工程領域以代理為基礎的人工智慧市場:按產業、績效及預測,2019-2024 年、2024-2029 年、2034 年
  • 汽車和航太
  • 能源和公共產業
  • 建築和土木工程
  • 電子和半導體
  • 醫療保健和醫療設備
  • 其他行業
  • 全球基於代理的人工智慧市場在數位工程、工程設計中的細分:實際和預測,2019-2024 年、2024-2029 年、2034 年
  • 演算法驅動的設計生成
  • 參數和拓撲最佳化
  • 探索設計空間
  • 產品生命週期管理
  • 全球基於代理的人工智慧市場在數位工程、數位雙胞胎和人工智慧驅動模擬中的細分:實際和預測,2019-2024 年、2024-2029 年、2034 年
  • 虛擬原型製作
  • 預測性維護和診斷
  • 即時監控與分析
  • 基於仿真的最佳化
  • 全球基於代理的人工智慧市場(數位工程、機器人和自動化領域的人工智慧)按類型細分:實際和預測,2019-2024 年、2024-2029 年、2034 年
  • 自主製造系統
  • 機器人流程自動化(RPA)
  • 支援人工智慧的協作機器人(cobots)
  • 人工智慧驅動的供應鏈機器人
  • 數位工程領域基於代理的人工智慧全球市場、工程領域可解釋人工智慧 (XAI)、按類型細分:實際和預測,2019-2024 年、2024-2029 年、2034 年
  • 透明的決策模型
  • 工程系統中的模型可解釋性
  • 人工智慧模型的檢驗與檢驗
  • 人工智慧系統中的信任與合規
  • 全球基於代理的人工智慧市場(數位工程及其他技術領域)按類型細分:實際及預測,2019-2024 年、2024-2029 年、2034 年
  • 人工智慧擴增實境設計
  • 積層製造(3D列印)中的人工智慧
  • 認知工程與問題解決人工智慧
  • 人工智慧驅動的計算流體力學(CFD)

第7章 區域和國家分析

  • 全球數位工程領域以代理為基礎的人工智慧市場:按地區、績效及預測,2019-2024 年、2024-2029 年、2034 年
  • 全球數位工程領域基於代理的人工智慧市場:按國家/地區、結果和預測,2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章:中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章:義大利市場

第20章:西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章:加拿大市場

第26章 南美洲市場

第27章:巴西市場

第28章 中東市場

第29章:非洲市場

第30章競爭格局與公司概況

  • 數位工程中基於代理商的人工智慧:競爭格局
  • 數位工程市場中的基於代理的人工智慧:公司簡介
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Capgemini SE Overview, Products and Services, Strategy and Financial Analysis
    • HCL Technologies Limited Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型創新企業

  • 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 32 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029年數位工程市場中的基於代理的人工智慧:提供新機會的國家
  • 2029年數位工程市場中的基於代理的人工智慧:細分領域帶來新機會
  • 2029年數位工程市場中的基於代理的人工智慧:成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
Product Code: r34748

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.

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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? 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 market characteristics section of the report defines and explains the market.
  • 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 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.

  • 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
  • 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 trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

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
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; 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: PDF, Word and Excel Data Dashboard.

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

  • 5.1. Global Agentic AI In Digital Engineering PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Agentic AI In Digital Engineering Market Growth Rate Analysis
  • 5.4. Global Agentic AI In Digital Engineering Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Agentic AI In Digital Engineering Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Agentic AI In Digital Engineering Total Addressable Market (TAM)

6. Agentic AI In Digital Engineering Market Segmentation

  • 6.1. Global Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Generative AI For Engineering Design
  • Digital Twins And Ai-Driven Simulations
  • AI In Robotics And Automation
  • Explainable AI (Xai) For Engineering
  • Other Technologies
  • 6.2. Global Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premise
  • Cloud-Based
  • 6.3. Global Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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
  • 6.4. Global Agentic AI In Digital Engineering Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automotive And Aerospace
  • Energy And Utilities
  • Construction And Civil Engineering
  • Electronics And Semiconductor
  • Healthcare And Medical Devices
  • Other Industry Verticals
  • 6.5. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Generative AI For Engineering Design, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Algorithm-Driven Design Generation
  • Parametric And Topology Optimization
  • Design Space Exploration
  • Product Lifecycle Management
  • 6.6. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Digital Twins And AI-Driven Simulations, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Virtual Prototyping
  • Predictive Maintenance And Diagnostics
  • Real-Time Monitoring And Analysis
  • Simulation-Based Optimization
  • 6.7. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of AI In Robotics And Automation, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Autonomous Manufacturing Systems
  • Robotic Process Automation (RPA)
  • AI-Powered Collaborative Robots (Cobots)
  • AI-Driven Supply Chain Robotics
  • 6.8. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Explainable AI (XAI) For Engineering, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Transparent Decision-Making Models
  • Model Interpretability In Engineering Systems
  • AI Model Validation And Verification
  • Trust And Compliance In AI Systems
  • 6.9. Global Agentic AI In Digital Engineering Market, Sub-Segmentation Of Other Technologies, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ 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)

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

  • 7.1. Global Agentic AI In Digital Engineering Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Agentic AI In Digital Engineering Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Agentic AI In Digital Engineering Market

  • 8.1. 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
  • 8.2. Asia-Pacific Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Agentic AI In Digital Engineering Market

  • 9.1. China Agentic AI In Digital Engineering Market Overview
  • 9.2. China Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Agentic AI In Digital Engineering Market

  • 10.1. India Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Agentic AI In Digital Engineering Market

  • 11.1. Japan Agentic AI In Digital Engineering Market Overview
  • 11.2. Japan Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Agentic AI In Digital Engineering Market

  • 12.1. Australia Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Agentic AI In Digital Engineering Market

  • 13.1. Indonesia Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Agentic AI In Digital Engineering Market

  • 14.1. South Korea Agentic AI In Digital Engineering Market Overview
  • 14.2. South Korea Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Agentic AI In Digital Engineering Market

  • 15.1. Western Europe Agentic AI In Digital Engineering Market Overview
  • 15.2. Western Europe Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Agentic AI In Digital Engineering Market

  • 16.1. UK Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Agentic AI In Digital Engineering Market

  • 17.1. Germany Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Agentic AI In Digital Engineering Market

  • 18.1. France Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Agentic AI In Digital Engineering Market

  • 19.1. Italy Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Agentic AI In Digital Engineering Market

  • 20.1. Spain Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Agentic AI In Digital Engineering Market

  • 21.1. Eastern Europe Agentic AI In Digital Engineering Market Overview
  • 21.2. Eastern Europe Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Agentic AI In Digital Engineering Market

  • 22.1. Russia Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Agentic AI In Digital Engineering Market

  • 23.1. North America Agentic AI In Digital Engineering Market Overview
  • 23.2. North America Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Agentic AI In Digital Engineering Market

  • 24.1. USA Agentic AI In Digital Engineering Market Overview
  • 24.2. USA Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Agentic AI In Digital Engineering Market

  • 25.1. Canada Agentic AI In Digital Engineering Market Overview
  • 25.2. Canada Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Agentic AI In Digital Engineering Market

  • 26.1. South America Agentic AI In Digital Engineering Market Overview
  • 26.2. South America Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Agentic AI In Digital Engineering Market

  • 27.1. Brazil Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Agentic AI In Digital Engineering Market

  • 28.1. Middle East Agentic AI In Digital Engineering Market Overview
  • 28.2. Middle East Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Agentic AI In Digital Engineering Market

  • 29.1. Africa Agentic AI In Digital Engineering Market Overview
  • 29.2. Africa Agentic AI In Digital Engineering Market, Segmentation By Technology, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Agentic AI In Digital Engineering Market, Segmentation By Deployment Model, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Agentic AI In Digital Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

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

  • 30.1. Agentic AI In Digital Engineering Market Competitive Landscape
  • 30.2. Agentic AI In Digital Engineering Market Company Profiles
    • 30.2.1. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Accenture plc Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Capgemini SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. HCL Technologies Limited Overview, Products and Services, Strategy and Financial Analysis

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

  • 31.1. Dassault Systemes
  • 31.2. PTC Inc.
  • 31.3. UiPath Inc.
  • 31.4. Persistent Systems Limited
  • 31.5. GlobalLogic Inc.
  • 31.6. Altair Engineering Inc.
  • 31.7. Kent PLC
  • 31.8. PagerDuty
  • 31.9. Cigniti Technologies Limited
  • 31.10. Indium Software Limited
  • 31.11. Aisera Inc.
  • 31.12. Sinequa SAS
  • 31.13. Adept AI Labs Inc.
  • 31.14. Ampcome Technologies Pvt. Ltd.
  • 31.15. Orby AI Inc.

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

  • 35.1 Agentic AI In Digital Engineering Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Agentic AI In Digital Engineering Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Agentic AI In Digital Engineering Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer
  • 250617_r34748_Agentic_AI_In_Digital_Engineering_GMR_2025