デジタルエンジニアリングにおけるエージェント型AIの世界市場レポート 2025年

デジタルエンジニアリングにおけるエージェント型AI市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年の年間平均成長率（CAGR）は63.7%で、434億3,000万米ドルに成長します。予測期間に予測される成長は、個人投資家からの投資の増加、カスタム高性能製品に対する需要の高まり、ベンチャーキャピタルの増加、AI研究開発への投資の拡大など、いくつかの要因によるものです。予測期間に予想される主な動向には、自律設計システム、AI主導のジェネレーティブデザイン、量子コンピューティングの統合、リアルタイム予測分析、AIによるシミュレーションと仮想プロトタイピング、エンジニアリングにおける持続可能性のためのAIの利用、デジタルツインの統合、AI主導のカスタマイズ、自律型製造システムの開発などがあります。

自動化に対する需要の高まりは、デジタルエンジニアリングにおけるエージェント型AI市場の成長を加速すると予想されます。自動化とは、人間の介入を最小限に抑えてタスクやプロセスを実行する技術の使用を指し、これにより効率と精度の両方が向上します。自動化の需要が高まっている背景には、さまざまな産業で運用コストを削減し、人的ミスを減らす必要性があります。オートメーションにおけるエージェント型AIは、システムが独立したインテリジェントな意思決定を行い、プロセスを最適化することを可能にします。例えば、2023年9月、ドイツを拠点にロボット研究を推進する業界団体である国際ロボット連盟は、2022年の世界の産業用ロボット導入台数が55万3,052台に達し、前年比5％増を反映したと報告しました。設置台数全体の73％をアジアが占め、次いで欧州が15％、南北アメリカが10％となっています。その結果、自動化に対する需要の高まりが、デジタルエンジニアリングにおけるエージェント型AI市場の拡大に拍車をかけています。

デジタルエンジニアリングにおけるエージェント型AI市場の主要企業は、労働生産性を高め、エンジニアリング・プロセスを合理化し、インテリジェントなタスク自動化を可能にするAI駆動型デジタル労働プラットフォームなどのイノベーションに注力しています。これらのプラットフォームは、自律的なAIエージェントを使用して、タスクを自動化し、意思決定を改善し、デジタルエンジニアリング、ソフトウェア開発、企業運営にまたがるワークフローを最適化します。例えば、米国を拠点とするクラウドソフトウェア企業であるセールスフォース社は、2025年3月、デジタルレイバー・プラットフォームの最新バージョンであるAgentforce 2dxを発表しました。このアップグレードにより、AIエージェントは既存のデータシステムやビジネス・ロジックとシームレスに統合し、チャット・インターフェースを超えて自律的に操作できるようになりました。これにより、AIはニーズを予測し、動的に行動を起こし、効率性、敏捷性、拡張性を高めることができます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、貿易戦争と関税、そしてコロナ禍と回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界のデジタルエンジニアリングにおけるエージェント型AI PESTEL分析（政治、社会、技術、環境、法的要因、促進要因と抑制要因）
• 最終用途産業の分析
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場：成長率分析
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場の実績：規模と成長, 2019-2024
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場の予測：規模と成長, 2024-2029, 2034F
• 世界のデジタルエンジニアリングにおけるエージェント型AI総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のデジタルエンジニアリングにおけるエージェント型AI市場：技術別、実績と予測, 2019-2024, 2024-2029F, 2034F
• エンジニアリング設計のための生成AI
• デジタルツインとAI駆動型シミュレーション
• ロボット工学と自動化におけるAI
• エンジニアリングのための説明可能なAI（Xai）
• その他の技術
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場：展開モデル別、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス
• クラウドベース
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 製品設計と開発
• 予測エンジニアリング分析
• プロセス自動化とワークフロー最適化
• AIを活用したシミュレーションとテスト
• インテリジェントインフラとスマート製造
• その他の用途
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場：業界別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 自動車と航空宇宙
• エネルギーと公益事業
• 建設と土木工学
• エレクトロニクスおよび半導体
• ヘルスケアおよび医療機器
• その他の業種
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場、エンジニアリング設計、タイプ別サブセグメンテーション：実績と予測, 2019-2024, 2024-2029F, 2034F
• アルゴリズム駆動型設計生成
• パラメトリックとトポロジーの最適化
• デザイン空間の探索
• 製品ライフサイクル管理
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場、デジタルツインとAI駆動型シミュレーション、タイプ別サブセグメンテーション：実績と予測, 2019-2024, 2024-2029F, 2034F
• 仮想プロトタイピング
• 予知保全と診断
• リアルタイム監視と分析
• シミュレーションベースの最適化
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場、ロボット工学と自動化におけるAI、タイプ別サブセグメンテーション：実績と予測, 2019-2024, 2024-2029F, 2034F
• 自律製造システム
• ロボティック・プロセス・オートメーション（RPA）
• AI搭載協働ロボット（コボット）
• AI駆動型サプライチェーンロボティクス
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場、エンジニアリング向け説明可能AI（XAI）、タイプ別サブセグメンテーション：実績と予測, 2019-2024, 2024-2029F, 2034F
• 透明な意思決定モデル
• エンジニアリングシステムにおけるモデルの解釈可能性
• AIモデルの検証と検証
• AIシステムにおける信頼とコンプライアンス
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場、その他の技術、タイプ別サブセグメンテーション：実績と予測, 2019-2024, 2024-2029F, 2034F
• AIを活用したデザイン向け拡張現実（AR）
• 積層造形（3Dプリンティング）におけるAI
• 認知工学と問題解決型AI
• AIを活用した数値流体力学（CFD）

第7章 地域別・国別分析

• 世界のデジタルエンジニアリングにおけるエージェント型AI市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のデジタルエンジニアリングにおけるエージェント型AI市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• デジタルエンジニアリングにおけるエージェント型AI市場：競合情勢
• デジタルエンジニアリングにおけるエージェント型AI市場：企業プロファイル
  • 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 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• デジタルエンジニアリングにおけるエージェント型AI市場2029：新たな機会を提供する国
• デジタルエンジニアリングにおけるエージェント型AI市場2029：新たな機会を提供するセグメント
• デジタルエンジニアリングにおけるエージェント型AI市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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