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1849554

2025年全球工程領域生成式人工智慧（AI）市場報告

Generative Artificial Intelligence (AI) In Engineering Global Market Report 2025
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

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簡介目錄

近年來，工程領域生成式人工智慧（AI）的市場規模呈指數級成長，從2024年的9.7億美元成長到2025年的13.3億美元，複合年成長率達37.4%。過去的成長可歸因於計算能力的提升、對倫理考量的日益重視、深度學習的興起、創業投資的增加以及人們對倫理影響的認知不斷提高。

預計未來幾年，工程領域生成式人工智慧（AI）的市場規模將呈指數級成長，到2029年將達到47.5億美元，複合年成長率（CAGR）為37.3%。預測期內的成長主要歸功於教育計畫的拓展、標準和法規的發展、底層演算法的開發以及學術和研究機構的擴張和跨領域合作。預測期內的關鍵趨勢包括與模擬和測試的整合、先進的自動化工程工作流程、虛擬原型製作整合、客製化AI模型以及智慧工程系統的開發。

未來五年37.3%的預測成長率較我們先前對該市場的預測略微下降了0.5%。這一下降主要歸因於美國與其他國家之間的關稅影響。使用生成式人工智慧的工程領域可能會因模擬軟體、CAD-AI平台和進口運算系統等關稅而面臨更高的成本，這可能會延誤研發計劃。此外，由於相互關稅以及貿易緊張局勢和限制加劇對全球經濟和貿易的負面影響，這種影響也將更加廣泛。

對自動化日益成長的關注預計將推動工程市場中生成式人工智慧 (AI) 的發展。自動化是指利用機器、軟體、機器人和其他技術，在最大限度減少人為干預的情況下執行任務和流程。這種對自動化的重視源於提高效率、降低成本、保持品質一致性、提升安全性以及在日益全球化和數據驅動的環境中獲得競爭優勢的需求。生成式人工智慧透過設計和最佳化複雜系統、產生創新解決方案以及自動化重複性任務，為工程自動化做出貢獻，加速開發進程並提高整體效率。例如，總部位於德國的非政府組織國際機器人聯合會 (IFR) 在 2024 年 4 月發布的一份報告預測，2023 年美國汽車銷量將成長 1%，屆時將安裝 14,678 台機器人；2022 年，機器人安裝量將達到 14,472 台，增幅高達 47%。此外，汽車製造商和零件製造商占美國工業機器人安裝量的 33%。因此，對自動化的日益重視正在推動生成式人工智慧在工程市場的擴張。

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、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球生成式人工智慧（AI）在工程領域的應用：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球工程領域生成式人工智慧（AI）市場：成長率分析
  • 全球工程領域生成式人工智慧（AI）市場表現：規模與成長，2019-2024年
  • 全球工程領域生成式人工智慧（AI）市場預測：規模與成長，2024-2029年，2034年
  • 全球工程領域生成式人工智慧 (AI)：潛在市場規模 (TAM)

第6章 市場細分

  • 全球工程領域生成式人工智慧（AI）市場：按工具和平台分類的效能和預測（2019-2024年、2024-2029年、2034年）
  • 軟體工具
  • 雲端基礎的平台
  • 應用程式介面（API）
  • 全球工程領域生成式人工智慧（AI）市場：按設計和製造階段分類的性能和預測（2019-2024年、2024-2029年、2034年）
  • 早期概念設計
  • 詳細設計
  • 原型製作
  • 模擬
  • 製造流程最佳化
  • 品管
  • 全球工程領域生成式人工智慧（AI）市場：按應用、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 設計最佳化
  • 產品開發
  • 材料工程
  • 結構分析
  • 其他
  • 全球工程領域生成式人工智慧（AI）市場依產業垂直領域分類，效能及預測（2019-2024年、2024-2029年、2034年）
  • 車
  • 航太
  • 製造業
  • 能源
  • 建造
  • 其他
  • 全球工程領域生成式人工智慧（AI）市場：軟體工具細分，按類型分類，實際數據和預測數據，2019-2024年、2024-2029年、2034年
  • 整合人工智慧的CAD（電腦輔助設計）工具
  • 模擬和建模軟體
  • 人工智慧驅動的設計最佳化工具
  • 3D列印與積層製造工具
  • 全球工程領域生成式人工智慧（AI）市場：雲端基礎細分市場，按類型分類，實際數據和預測數據，2019-2024年、2024-2029年、2034年
  • 基於人工智慧的雲端設計平台
  • 雲端基礎的模擬工具
  • 雲端基礎的工程分析平台
  • 面向工程計劃的協作雲端平台
  • 全球工程領域生成式人工智慧（AI）市場：應用程式介面（API）細分，按類型分類，實際數據和預測數據，2019-2024年、2024-2029年、2034年
  • 用於設計自動化的 AI 驅動 API
  • 工程領域預測性維護的API
  • 用於結構分析的AI API
  • 用於工程資料整合和分析的 API

第7章 區域和國家分析

  • 全球工程領域生成式人工智慧（AI）市場：按地區、效能和預測分類，2019-2024年、2024-2029年、2034年
  • 全球工程領域生成式人工智慧（AI）市場按國家/地區分類、效能和預測（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

  • 工程領域生成式人工智慧（AI）市場：競爭格局
  • 工程領域生成式人工智慧（AI）市場：公司概況
    • Google LLC
    • General Electric Company
    • International Business Machines Corporation（IBM）
    • Honeywell International Inc.
    • SAP SE

第31章：其他領先和創新企業

  • ABB Ltd.
  • NVIDIA Corporation
  • Dassault Systemes SE
  • Hexagon AB
  • Autodesk Inc.
  • Siemens Digital Industries Software Inc.
  • ANSYS Inc.
  • PTC Inc.
  • Bentley Systems Incorporated
  • Altair Engineering Inc.
  • 3D Systems Corporation
  • C3.ai Inc.
  • ESI Group
  • Anthropic Inc.
  • LeewayHertz Technologies Inc.

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：具有高市場潛力的國家及其策略

  • 2029年工程領域生成式人工智慧（AI）市場：提供新機會的國家
  • 2029年工程領域生成式人工智慧（AI）市場：提供新機會的細分市場
  • 2029年工程領域生成式人工智慧（AI）市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r33735u

Generative artificial intelligence in engineering involves using advanced AI algorithms to autonomously create, optimize, and refine complex engineering designs and solutions by simulating different scenarios and outcomes. This approach enhances design processes, boosts product innovation, optimizes structural integrity, and speeds up the development of efficient and cost-effective engineering solutions.

Key tools and platforms in generative artificial intelligence for engineering include software tools, cloud-based platforms, and application programming interfaces (APIs). Software tools are crucial applications that offer engineers and designers flexible, accessible, and comprehensive functionalities, allowing them to handle tasks from conceptual design to simulation and quality control. These tools support various stages of design and manufacturing, including early-stage conceptual design, detailed design, prototyping, simulation, manufacturing process optimization, and quality control. Generative AI technologies are applied across numerous domains such as design optimization, product development, materials engineering, and structural analysis, serving a wide range of industries including automotive, aerospace, manufacturing, energy, and construction.

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 sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

The generative artificial intelligence in engineering market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence in engineering market statistics, including generative artificial intelligence in engineering industry global market size, regional shares, competitors with a generative artificial intelligence in engineering market share, detailed generative artificial intelligence in engineering market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence in engineering industry. This generative artificial intelligence in 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 generative artificial intelligence (ai) in engineering market size has grown exponentially in recent years. It will grow from $0.97 billion in 2024 to $1.33 billion in 2025 at a compound annual growth rate (CAGR) of 37.4%. The growth in the historic period can be attributed to increasing computational power, increasing focus on ethical considerations, increasing deep learning, increasing investment from venture capital firms, and increasing awareness of ethical implications.

The generative artificial intelligence (ai) in engineering market size is expected to see exponential growth in the next few years. It will grow to $4.75 billion in 2029 at a compound annual growth rate (CAGR) of 37.3%. The growth in the forecast period can be attributed to the growth of educational programs, the development of standards and regulations, the development of fundamental algorithms, educational and research institutions, and growing cross-disciplinary collaboration. Major trends in the forecast period include integration with simulation and testing, advanced automated engineering workflow, integration of virtual prototyping, customizable AI models, and development of smart engineering systems.

The forecast of 37.3% growth over the next five years reflects a modest reduction of 0.5% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. Engineering sectors using Generative AI may encounter cost increases due to tariffs on simulation software, CAD-AI platforms, and imported computational systems, delaying R&D projects. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing focus on automation is anticipated to drive the growth of generative artificial intelligence (AI) in the engineering market moving forward. Automation involves the use of technologies like machinery, software, or robotics to perform tasks or processes with minimal human intervention. This growing emphasis on automation stems from the need to enhance efficiency, reduce costs, maintain consistent quality, improve safety, and achieve a competitive advantage in an increasingly globalized and data-driven environment. Generative AI contributes to automation in engineering by designing and optimizing complex systems, generating innovative solutions, and automating repetitive tasks, which accelerates the development process and enhances overall efficiency. For example, in April 2024, a report from the International Federation of Robotics, a Germany-based NGO, indicated that U.S. automotive sales rose by 1% in 2023, coinciding with the installation of 14,678 robots, following a 47% increase in 2022 when 14,472 units were installed. Furthermore, car and component manufacturers accounted for 33% of all industrial robot installations in the U.S. Therefore, the growing emphasis on automation is driving the expansion of generative artificial intelligence in the engineering market.

Leading companies in the generative AI in engineering market are developing advanced solutions, such as AI-enabled platforms, to enhance engineering and design processes. An example is Cognizant Technology Solutions Corporation, a US-based IT company, which launched Cognizant Flowsource in February 2024. This generative AI-powered platform aims to revolutionize enterprise software engineering by integrating all stages of the software development lifecycle. It provides cross-functional engineering teams with tools and digital resources to improve efficiency in delivering high-quality code, while also enhancing control and transparency throughout the process.

In April 2024, Ernst & Young Global Limited, a UK-based services organization, acquired Nuvalence LLC for an undisclosed amount. This acquisition is expected to help clients leverage generative AI to transform core business functions and explore new AI-powered business models. Nuvalence LLC, a US-based developer of digital platforms, is involved in generative AI in engineering.

Major companies operating in the generative artificial intelligence in engineering market are Google LLC, General Electric Company, International Business Machines Corporation (IBM), Honeywell International Inc., SAP SE, ABB Ltd., NVIDIA Corporation, Dassault Systemes SE, Hexagon AB, Autodesk Inc., Siemens Digital Industries Software Inc., ANSYS Inc., PTC Inc., Bentley Systems Incorporated, Altair Engineering Inc., 3D Systems Corporation, C3.ai Inc., ESI Group, Anthropic Inc., LeewayHertz Technologies Inc., Plex Systems Inc., nTopology Inc., Markovate Inc.

North America was the largest region in the generative artificial intelligence in engineering market in 2024. The regions covered in the generative artificial intelligence in engineering market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence in engineering market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The generative artificial intelligence in engineering market includes revenues earned by entities by providing services such as consulting, custom software development, AI-enhanced design solutions, training and support, and data analysis and insights. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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.

Generative Artificial Intelligence (AI) In 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 generative artificial intelligence (ai) in 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 generative artificial intelligence (ai) in 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 generative artificial intelligence (ai) in 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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 Tools And Platforms: Software Tools; Cloud-Based Platform; Application Programming Interfaces (APIs)
  • 2) By Design And Manufacturing Stages: Early-Stage Conceptual Design; Detailed Design; Prototyping; Simulation; Manufacturing Process Optimization; Quality Control
  • 3) By Application: Design Optimization; Product Development; Materials Engineering; Structural Analysis; Other Applications
  • 4) By Industry Vertical: Automotive; Aerospace; Manufacturing; Energy; Construction; Other Industries
  • Subsegments:
  • 1) By Software Tools: CAD (Computer-Aided Design) Tools With AI Integration; Simulation And Modeling Software; AI-Driven Design Optimization Tools; 3D Printing And Additive Manufacturing Tools
  • 2) By Cloud-Based Platform: AI-Based Cloud Design Platforms; Cloud-Based Simulation Tools; Cloud-Based Engineering Analytics Platforms; Collaborative Cloud Platforms For Engineering Projects
  • 3) By Application Programming Interfaces (APIs): AI-Powered API For Design Automation; APIs For Predictive Maintenance In Engineering; AI APIs For Structural Analysis; APIs For Engineering Data Integration And Analytics
  • Companies Mentioned: Google LLC; General Electric Company; International Business Machines Corporation (IBM); Honeywell International Inc.; SAP SE; ABB Ltd.; NVIDIA Corporation; Dassault Systemes SE; Hexagon AB; Autodesk Inc.; Siemens Digital Industries Software Inc.; ANSYS Inc.; PTC Inc.; Bentley Systems Incorporated; Altair Engineering Inc.; 3D Systems Corporation; C3.ai Inc.; ESI Group; Anthropic Inc.; LeewayHertz Technologies Inc.; Plex Systems Inc.; nTopology Inc.; Markovate Inc.
  • 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. Generative Artificial Intelligence (AI) In Engineering Market Characteristics

3. Generative Artificial Intelligence (AI) In Engineering Market Trends And Strategies

4. Generative Artificial Intelligence (AI) In Engineering Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Generative Artificial Intelligence (AI) In Engineering Growth Analysis And Strategic Analysis Framework

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

6. Generative Artificial Intelligence (AI) In Engineering Market Segmentation

  • 6.1. Global Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Software Tools
  • Cloud-Based Platform
  • Application Programming Interfaces (APIs)
  • 6.2. Global Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Early-Stage Conceptual Design
  • Detailed Design
  • Prototyping
  • Simulation
  • Manufacturing Process Optimization
  • Quality Control
  • 6.3. Global Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Design Optimization
  • Product Development
  • Materials Engineering
  • Structural Analysis
  • Other Applications
  • 6.4. Global Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Industry Vertical, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Automotive
  • Aerospace
  • Manufacturing
  • Energy
  • Construction
  • Other Industries
  • 6.5. Global Generative Artificial Intelligence (AI) In Engineering Market, Sub-Segmentation Of Software Tools, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • CAD (Computer-Aided Design) Tools With AI Integration
  • Simulation And Modeling Software
  • AI-Driven Design Optimization Tools
  • 3D Printing And Additive Manufacturing Tools
  • 6.6. Global Generative Artificial Intelligence (AI) In Engineering Market, Sub-Segmentation Of Cloud-Based Platform, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI-Based Cloud Design Platforms
  • Cloud-Based Simulation Tools
  • Cloud-Based Engineering Analytics Platforms
  • Collaborative Cloud Platforms For Engineering Projects
  • 6.7. Global Generative Artificial Intelligence (AI) In Engineering Market, Sub-Segmentation Of Application Programming Interfaces (APIs), By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI-Powered API For Design Automation
  • APIs For Predictive Maintenance In Engineering
  • AI APIs For Structural Analysis
  • APIs For Engineering Data Integration And Analytics

7. Generative Artificial Intelligence (AI) In Engineering Market Regional And Country Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) In Engineering Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Generative Artificial Intelligence (AI) In Engineering Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Generative Artificial Intelligence (AI) In Engineering Market

  • 8.1. Asia-Pacific Generative Artificial Intelligence (AI) In 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 Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Generative Artificial Intelligence (AI) In Engineering Market

  • 9.1. China Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 9.2. China Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Generative Artificial Intelligence (AI) In Engineering Market

  • 10.1. India Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Generative Artificial Intelligence (AI) In Engineering Market

  • 11.1. Japan Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 11.2. Japan Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Generative Artificial Intelligence (AI) In Engineering Market

  • 12.1. Australia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Generative Artificial Intelligence (AI) In Engineering Market

  • 13.1. Indonesia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Generative Artificial Intelligence (AI) In Engineering Market

  • 14.1. South Korea Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 14.2. South Korea Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Generative Artificial Intelligence (AI) In Engineering Market

  • 15.1. Western Europe Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 15.2. Western Europe Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Generative Artificial Intelligence (AI) In Engineering Market

  • 16.1. UK Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Generative Artificial Intelligence (AI) In Engineering Market

  • 17.1. Germany Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Generative Artificial Intelligence (AI) In Engineering Market

  • 18.1. France Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Generative Artificial Intelligence (AI) In Engineering Market

  • 19.1. Italy Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Generative Artificial Intelligence (AI) In Engineering Market

  • 20.1. Spain Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Generative Artificial Intelligence (AI) In Engineering Market

  • 21.1. Eastern Europe Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 21.2. Eastern Europe Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Generative Artificial Intelligence (AI) In Engineering Market

  • 22.1. Russia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Generative Artificial Intelligence (AI) In Engineering Market

  • 23.1. North America Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 23.2. North America Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Generative Artificial Intelligence (AI) In Engineering Market

  • 24.1. USA Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 24.2. USA Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Generative Artificial Intelligence (AI) In Engineering Market

  • 25.1. Canada Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 25.2. Canada Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Generative Artificial Intelligence (AI) In Engineering Market

  • 26.1. South America Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 26.2. South America Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Generative Artificial Intelligence (AI) In Engineering Market

  • 27.1. Brazil Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Generative Artificial Intelligence (AI) In Engineering Market

  • 28.1. Middle East Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 28.2. Middle East Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Generative Artificial Intelligence (AI) In Engineering Market

  • 29.1. Africa Generative Artificial Intelligence (AI) In Engineering Market Overview
  • 29.2. Africa Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Tools And Platforms, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Design And Manufacturing Stages, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Generative Artificial Intelligence (AI) In Engineering Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Generative Artificial Intelligence (AI) In Engineering Market Competitive Landscape And Company Profiles

  • 30.1. Generative Artificial Intelligence (AI) In Engineering Market Competitive Landscape
  • 30.2. Generative Artificial Intelligence (AI) In Engineering Market Company Profiles
    • 30.2.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. General Electric Company Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. International Business Machines Corporation (IBM) Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Honeywell International Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. SAP SE Overview, Products and Services, Strategy and Financial Analysis

31. Generative Artificial Intelligence (AI) In Engineering Market Other Major And Innovative Companies

  • 31.1. ABB Ltd.
  • 31.2. NVIDIA Corporation
  • 31.3. Dassault Systemes SE
  • 31.4. Hexagon AB
  • 31.5. Autodesk Inc.
  • 31.6. Siemens Digital Industries Software Inc.
  • 31.7. ANSYS Inc.
  • 31.8. PTC Inc.
  • 31.9. Bentley Systems Incorporated
  • 31.10. Altair Engineering Inc.
  • 31.11. 3D Systems Corporation
  • 31.12. C3.ai Inc.
  • 31.13. ESI Group
  • 31.14. Anthropic Inc.
  • 31.15. LeewayHertz Technologies Inc.

32. Global Generative Artificial Intelligence (AI) In Engineering Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Engineering Market

34. Recent Developments In The Generative Artificial Intelligence (AI) In Engineering Market

35. Generative Artificial Intelligence (AI) In Engineering Market High Potential Countries, Segments and Strategies

  • 35.1 Generative Artificial Intelligence (AI) In Engineering Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Generative Artificial Intelligence (AI) In Engineering Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Generative Artificial Intelligence (AI) In 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