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全球工業生成式人工智慧自動化市場預測至2034年：按產品、組件、技術、部署、應用、最終用戶和地區分類

Industrial Generative AI Automation Market Forecasts to 2034 - Global Analysis By Product, Component, Technology, Deployment, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球工業人工智慧自動化市場規模將達到 45 億美元，並在預測期內以 19.6% 的複合年成長率成長，到 2034 年將達到 189 億美元。

工業生成式人工智慧自動化是指利用生成式人工智慧模型來自動化製造環境中工程、生產計畫和營運決策流程的軟體平台。這些系統採用大規模語言模型、多模態人工智慧和基於代理的人工智慧架構，無需人工干預即可產生控制程式碼、設計最佳化方案、維護計劃和生產工作流程。這項技術使工業工程師和操作人員能夠透過自然語言說明需求，輕鬆實現複雜認知任務的自動化。

產業部門的技能缺口危機

由於製造商面臨著能夠管理日益複雜的生產系統的經驗豐富的工程師和技術人員嚴重短缺的問題，工業領域的技能缺口危機正在推動生成式人工智慧自動化技術的應用。生成式人工智慧平台可以收集和複製專家知識，使經驗不足的員工能夠在人工智慧的輔助下完成高階工程和營運任務。基於大規模語言模型的工業助理可以回答技術問題、產生控制系統程式碼並提供故障排除指導，從而減少對稀缺專業知識的依賴。

人工智慧模型的“幻覺”

人工智慧模型的「假象」是工業生成式人工智慧自動化應用的一大限制因素。這是因為基礎模型可能會產生看似合理但實際上錯誤的輸出，這可能導致生產環境中出現嚴重的運行錯誤。生成式人工智慧系統可能會建議違反安全約束的控制參數，或產生包含細微漏洞的程式碼，因此對所有人工智慧產生的內容進行徹底的人工檢驗至關重要。如果沒有健全的檢驗機制，製造商就無法在關鍵應用中完全信任生成式人工智慧系統，導致現有技術所能實現的自動化程度有限。

基於代理的人工智慧的開發

隨著能夠自主規劃、執行和檢驗工業任務而無需持續人工監督的自主生成式智慧體的出現，自主人工智慧的發展帶來了巨大的成長機會，有效應對了複雜的自動化挑戰。透過結合生成能力、推理能力和工具使用能力，人工智慧智慧體可以自主設計流程改善方案、最佳化供應鏈決策並調整生產計畫。這種從被動生成到主動解決問題的轉變，大大拓展了工業生成式人工智慧在整個製造營運中的應用場景。

智慧財產權風險

智慧財產權風險威脅著工業生成式人工智慧自動化技術的應用。這是因為使用專有製造資料訓練模型可能導致商業秘密和競爭優勢透過模型輸出和查詢歷史記錄洩露。由於擔心資料保護和競爭資訊洩露，製造商不願將高度敏感的設計文件、製程配方和品質資料上傳到基於雲端的生成式人工智慧服務。人工智慧產生的智慧財產權相關的法律和監管環境仍不明朗，這為採用生成式自動化解決方案的公司帶來了潛在的法律責任問題。

新型冠狀病毒（COVID-19）的影響：

新冠感染疾病初期，由於研發資源被轉移到即時疫情的緊急措施上，工業生成式人工智慧自動化的發展速度放緩，許多製造項目被迫暫停或取消。疫情期間，對生產敏捷性和遠端營運管理的迫切需求日益成長，這加速了人們對能夠在現場專家資源減少的情況下輔助工程決策的人工智慧系統的興趣。疫情後持續存在的勞動力短缺和供應鏈波動，進一步凸顯了生成式人工智慧作為提升工業韌性和最佳化營運工具的重要性。

在預測期內，生成式人工智慧自動化平台細分市場預計將佔據最大的市場佔有率。

在預測期內，生成式人工智慧自動化平台細分市場預計將佔據最大的市場佔有率，這主要得益於整合了跨多個工業職能（包括工程設計、生產計畫和品管）的生成式功能的綜合軟體解決方案。這些端到端平台透過單一整合系統滿足客戶多樣化的自動化需求，並提供一致的使用者體驗和資料管治，為客戶創造最大價值。領先的工業軟體公司紛紛在其產品組合中添加生成式人工智慧功能，並在此基礎上建立其成熟的製造執行 (ME) 和產品生命週期管理 (PLM) 平台，這一細分市場也因此受益匪淺。

預計在預測期內，軟體產業將錄得最高的複合年成長率。

在預測期內，軟體領域預計將呈現最高的成長率，這主要得益於生成式人工智慧模型、輔助駕駛介面和自動化應用價值的快速成長，這些技術能夠顯著提升工業用戶的生產力。軟體層使製造商無需基礎設施投資即可利用基礎模型，存取專業的工業人工智慧模型，並部署針對其特定營運客製化的自動化代理。基於訂閱的軟體產品能夠產生持續的收入來源，從而支援快速發展的生成式技術的持續模型改進和功能開發。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率。這主要歸功於美國在基礎模式和生成式人工智慧應用開發方面的領先地位，以及主要科技公司對工業人工智慧研發的大量投資。領導企業正在將生成式人工智慧功能整合到其工業軟體組合中，並在其工程和營運部門部署內部生成的人工智慧系統。充滿活力的AI新創企業創投生態系統和植根於技術前沿製造商的早期採用文化，都為該地區持續的市場主導地位提供了支持。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這是因為中國、日本和韓國正在大力投資人工智慧技術，將其作為下一代智慧製造和提升產業競爭力的基礎技術。在包括中國人工智慧發展規劃在內的政府措施中，生成式人工智慧已被明確列為經濟轉型和產業現代化的關鍵技術。該地區龐大的電子和汽車產業正在部署生成式自動化系統，以加快產品開發週期並提高生產效率。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球工業人工智慧自動化市場：依產品分類

  • 工業人工智慧自動化平台
  • 工業人工智慧副駕駛
  • 用於產生人工智慧工作流程平台
  • 人工智慧驅動的自動化軟體
  • 生成式人工智慧機器人平台
  • 工業人工智慧決策平台
  • 人工智慧工程平台

第6章 全球工業人工智慧自動化市場：按組件分類

  • 軟體
  • 人工智慧模型
  • 計算基礎設施
  • 數據平台
  • 服務

第7章 全球工業人工智慧自動化市場：依技術分類

  • 人工智慧世代
  • 大規模語言模型
  • 多模態人工智慧
  • RAG（搜尋擴展產生器）
  • 基於代理的人工智慧
  • 數位孿生

第8章 全球工業人工智慧自動化市場：以部署方式分類

  • 雲
  • 現場
  • 邊緣

第9章：全球工業世代人工智慧自動化市場：按應用領域分類

  • 生產計畫
  • 工程自動化
  • 預測性保護
  • 品管
  • 供應鏈最佳化
  • 流程最佳化
  • 其他

第10章：全球工業人工智慧自動化市場：以最終用戶分類

  • 車
  • 電子學
  • 半導體
  • 工業生產
  • 航太/國防
  • 其他

第11章 全球工業人工智慧自動化市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • NVIDIA Corporation
  • Microsoft Corporation
  • Alphabet Inc.
  • IBM Corporation
  • Amazon.com, Inc.
  • Siemens AG
  • SAP SE
  • Oracle Corporation
  • Salesforce, Inc.
  • Schneider Electric SE
  • Rockwell Automation, Inc.
  • Honeywell International Inc.
  • ABB Ltd.
  • Emerson Electric Co.
  • Cisco Systems, Inc.
  • PTC Inc.
  • Dassault Systemes SE
  • Palantir Technologies Inc.
Product Code: SMRC39190

According to Stratistics MRC, the Global Industrial Generative AI Automation Market is accounted for $4.5 billion in 2026 and is expected to reach $18.9 billion by 2034 growing at a CAGR of 19.6% during the forecast period. Industrial generative AI automation refers to software platforms that use generative artificial intelligence models to automate engineering, production planning, and operational decision-making processes in manufacturing environments. These systems leverage large language models, multimodal AI, and agentic AI architectures to generate control code, design optimization proposals, maintenance schedules, and production workflows without manual specification. The technology enables industrial engineers and operators to automate complex cognitive tasks by describing requirements in natural language.

Market Dynamics:

Driver:

Industrial Skill Gap Crisis

The industrial skill gap crisis is driving generative AI automation adoption as manufacturers face acute shortages of experienced engineers and technicians capable of managing increasingly complex production systems. Generative AI platforms can capture and replicate expert knowledge, enabling less experienced staff to perform sophisticated engineering and operational tasks with AI assistance. Industrial copilots built on large language models can answer technical questions, generate code for control systems, and provide troubleshooting guidance, reducing dependence on scarce specialist expertise.

Restraint:

AI Model Hallucinations

AI model hallucinations constrain industrial generative AI automation adoption as foundation models sometimes produce plausible but incorrect outputs that can cause serious operational errors in production environments. Generative AI systems may recommend control parameters that violate safety constraints or generate code that contains subtle bugs, necessitating thorough human validation of all AI-generated content. Manufacturers cannot fully trust generative systems for critical applications without robust verification mechanisms, limiting the automation degree achievable with current technology.

Opportunity:

Agentic AI Development

Agentic AI development presents substantial growth opportunities as autonomous generative agents that can plan, execute, and verify industrial tasks without continuous human supervision emerge to address complex automation challenges. AI agents can autonomously design process improvements, optimize supply chain decisions, and orchestrate production schedules by combining generative capabilities with reasoning and tool-use functions. The evolution from passive generation to proactive problem-solving dramatically expands the addressable use cases for industrial generative AI across manufacturing operations.

Threat:

Intellectual Property Risks

Intellectual property risks threaten industrial generative AI automation adoption as training models on proprietary manufacturing data creates potential exposure of trade secrets and competitive advantages through model outputs or query histories. Manufacturers are reluctant to upload sensitive design files, process recipes, or quality data to cloud-based generative AI services due to concerns about data protection and competitive intelligence leakage. The legal and regulatory landscape for AI-generated intellectual property remains uncertain, creating potential liability issues for companies deploying generative automation solutions.

Covid-19 Impact:

COVID-19 initially slowed industrial generative AI automation development as R&D resources were redirected toward immediate pandemic response while many manufacturing projects were paused or canceled. Mid-pandemic the urgent need for production agility and remote operations management accelerated interest in AI systems that could support engineering decisions with reduced on-site expertise. Post-pandemic sustained workforce shortages and supply chain volatility have permanently elevated the importance of generative AI as a tool for industrial resilience and operational optimization.

The generative AI automation platforms segment is expected to be the largest during the forecast period

The generative AI automation platforms segment is expected to account for the largest market share during the forecast period, due to comprehensive software solutions that integrate generative capabilities across multiple industrial functions including engineering design, production planning, and quality management in unified platforms. These end-to-end platforms provide maximum value to customers by addressing diverse automation needs through a single integrated system with consistent user experience and data governance. The segment benefits from industrial software leaders expanding their portfolios with generative AI capabilities built on their established manufacturing execution and product lifecycle platforms.

The software segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the software segment is predicted to witness the highest growth rate, driven by the rapidly increasing value of generative AI models, copilot interfaces, and automation applications that generate significant productivity improvements for industrial users. Software layers enable manufacturers to leverage foundation models without infrastructure investment, access specialized industrial AI models, and deploy custom automation agents tailored to their specific operations. Subscription-based software delivery creates recurring revenue streams that support continuous model improvement and feature development for rapidly evolving generative technology.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States leading the development of foundation models and generative AI applications with major technology companies investing heavily in industrial AI research and product development. American manufacturing technology leaders are integrating generative capabilities into their industrial software portfolios and deploying internal generative systems across engineering and operations functions. The region's vibrant venture ecosystem for AI startups and early adopter culture among technology-forward manufacturers supports continued market dominance.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China, Japan, and South Korea making massive investments in AI capabilities as foundational technologies for next-generation smart manufacturing and industrial competitiveness. Government initiatives including China's AI development plans explicitly prioritize generative AI as a key technology for economic transformation and industrial modernization. The region's large electronics and automotive industries are deploying generative automation systems to accelerate product development cycles and improve manufacturing efficiency.

Key players in the market

Some of the key players in Industrial Generative AI Automation Market include NVIDIA Corporation, Microsoft Corporation, Alphabet Inc., IBM Corporation, Amazon.com, Inc., Siemens AG, SAP SE, Oracle Corporation, Salesforce, Inc., Schneider Electric SE, Rockwell Automation, Inc., Honeywell International Inc., ABB Ltd., Emerson Electric Co., Cisco Systems, Inc., PTC Inc., Dassault Systemes SE, and Palantir Technologies Inc.

Key Developments:

In August 2026, NVIDIA Corporation introduced its industrial generative AI platform with specialized foundation models for manufacturing applications and agentic automation capabilities.

In July 2026, Microsoft Corporation expanded its Azure Industrial AI offerings with copilot features for manufacturing engineers, enabling natural language design of production workflows.

In June 2026, Alphabet Inc. launched a generative AI automation platform for industrial operations that integrates multimodal models for plant floor decision support.

Products Covered:

  • Generative AI Automation Platforms
  • Industrial AI Copilots
  • Generative AI Workflow Platforms
  • AI-Powered Automation Software
  • Generative AI Robotics Platforms
  • Industrial AI Decision Platforms
  • AI-Enabled Engineering Platforms

Components Covered:

  • Software
  • AI Models
  • Computing Infrastructure
  • Data Platforms
  • Services

Technologies Covered:

  • Generative AI
  • Large Language Models
  • Multimodal AI
  • Retrieval-Augmented Generation
  • Agentic AI
  • Digital Twins

Deployments Covered:

  • Cloud Deployment
  • On-Premises Deployment
  • Edge Deployment

Applications Covered:

  • Production Planning
  • Engineering Automation
  • Predictive Maintenance
  • Quality Management
  • Supply Chain Optimization
  • Process Optimization
  • Other Applications

End Users Covered:

  • Automotive
  • Electronics
  • Semiconductors
  • Industrial Manufacturing
  • Aerospace & Defense
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Industrial Generative AI Automation Market, By Product

  • 5.1 Generative AI Automation Platforms
  • 5.2 Industrial AI Copilots
  • 5.3 Generative AI Workflow Platforms
  • 5.4 AI-Powered Automation Software
  • 5.5 Generative AI Robotics Platforms
  • 5.6 Industrial AI Decision Platforms
  • 5.7 AI-Enabled Engineering Platforms

6 Global Industrial Generative AI Automation Market, By Component

  • 6.1 Software
  • 6.2 AI Models
  • 6.3 Computing Infrastructure
  • 6.4 Data Platforms
  • 6.5 Services

7 Global Industrial Generative AI Automation Market, By Technology

  • 7.1 Generative AI
  • 7.2 Large Language Models
  • 7.3 Multimodal AI
  • 7.4 Retrieval-Augmented Generation
  • 7.5 Agentic AI
  • 7.6 Digital Twins

8 Global Industrial Generative AI Automation Market, By Deployment

  • 8.1 Cloud Deployment
  • 8.2 On-Premises Deployment
  • 8.3 Edge Deployment

9 Global Industrial Generative AI Automation Market, By Application

  • 9.1 Production Planning
  • 9.2 Engineering Automation
  • 9.3 Predictive Maintenance
  • 9.4 Quality Management
  • 9.5 Supply Chain Optimization
  • 9.6 Process Optimization
  • 9.7 Other Applications

10 Global Industrial Generative AI Automation Market, By End User

  • 10.1 Automotive
  • 10.2 Electronics
  • 10.3 Semiconductors
  • 10.4 Industrial Manufacturing
  • 10.5 Aerospace & Defense
  • 10.6 Other End Users

11 Global Industrial Generative AI Automation Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 NVIDIA Corporation
  • 14.2 Microsoft Corporation
  • 14.3 Alphabet Inc.
  • 14.4 IBM Corporation
  • 14.5 Amazon.com, Inc.
  • 14.6 Siemens AG
  • 14.7 SAP SE
  • 14.8 Oracle Corporation
  • 14.9 Salesforce, Inc.
  • 14.10 Schneider Electric SE
  • 14.11 Rockwell Automation, Inc.
  • 14.12 Honeywell International Inc.
  • 14.13 ABB Ltd.
  • 14.14 Emerson Electric Co.
  • 14.15 Cisco Systems, Inc.
  • 14.16 PTC Inc.
  • 14.17 Dassault Systemes SE
  • 14.18 Palantir Technologies Inc.

List of Tables

  • Table 1 Global Industrial Generative AI Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Industrial Generative AI Automation Market Outlook, By Product (2023-2034) ($MN)
  • Table 3 Global Industrial Generative AI Automation Market Outlook, By Generative AI Automation Platforms (2023-2034) ($MN)
  • Table 4 Global Industrial Generative AI Automation Market Outlook, By Industrial AI Copilots (2023-2034) ($MN)
  • Table 5 Global Industrial Generative AI Automation Market Outlook, By Generative AI Workflow Platforms (2023-2034) ($MN)
  • Table 6 Global Industrial Generative AI Automation Market Outlook, By AI-Powered Automation Software (2023-2034) ($MN)
  • Table 7 Global Industrial Generative AI Automation Market Outlook, By Generative AI Robotics Platforms (2023-2034) ($MN)
  • Table 8 Global Industrial Generative AI Automation Market Outlook, By Industrial AI Decision Platforms (2023-2034) ($MN)
  • Table 9 Global Industrial Generative AI Automation Market Outlook, By AI-Enabled Engineering Platforms (2023-2034) ($MN)
  • Table 10 Global Industrial Generative AI Automation Market Outlook, By Component (2023-2034) ($MN)
  • Table 11 Global Industrial Generative AI Automation Market Outlook, By Software (2023-2034) ($MN)
  • Table 12 Global Industrial Generative AI Automation Market Outlook, By AI Models (2023-2034) ($MN)
  • Table 13 Global Industrial Generative AI Automation Market Outlook, By Computing Infrastructure (2023-2034) ($MN)
  • Table 14 Global Industrial Generative AI Automation Market Outlook, By Data Platforms (2023-2034) ($MN)
  • Table 15 Global Industrial Generative AI Automation Market Outlook, By Services (2023-2034) ($MN)
  • Table 16 Global Industrial Generative AI Automation Market Outlook, By Technology (2023-2034) ($MN)
  • Table 17 Global Industrial Generative AI Automation Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 18 Global Industrial Generative AI Automation Market Outlook, By Large Language Models (2023-2034) ($MN)
  • Table 19 Global Industrial Generative AI Automation Market Outlook, By Multimodal AI (2023-2034) ($MN)
  • Table 20 Global Industrial Generative AI Automation Market Outlook, By Retrieval-Augmented Generation (2023-2034) ($MN)
  • Table 21 Global Industrial Generative AI Automation Market Outlook, By Agentic AI (2023-2034) ($MN)
  • Table 22 Global Industrial Generative AI Automation Market Outlook, By Digital Twins (2023-2034) ($MN)
  • Table 23 Global Industrial Generative AI Automation Market Outlook, By Deployment (2023-2034) ($MN)
  • Table 24 Global Industrial Generative AI Automation Market Outlook, By Cloud Deployment (2023-2034) ($MN)
  • Table 25 Global Industrial Generative AI Automation Market Outlook, By On-Premises Deployment (2023-2034) ($MN)
  • Table 26 Global Industrial Generative AI Automation Market Outlook, By Edge Deployment (2023-2034) ($MN)
  • Table 27 Global Industrial Generative AI Automation Market Outlook, By Application (2023-2034) ($MN)
  • Table 28 Global Industrial Generative AI Automation Market Outlook, By Production Planning (2023-2034) ($MN)
  • Table 29 Global Industrial Generative AI Automation Market Outlook, By Engineering Automation (2023-2034) ($MN)
  • Table 30 Global Industrial Generative AI Automation Market Outlook, By Predictive Maintenance (2023-2034) ($MN)
  • Table 31 Global Industrial Generative AI Automation Market Outlook, By Quality Management (2023-2034) ($MN)
  • Table 32 Global Industrial Generative AI Automation Market Outlook, By Supply Chain Optimization (2023-2034) ($MN)
  • Table 33 Global Industrial Generative AI Automation Market Outlook, By Process Optimization (2023-2034) ($MN)
  • Table 34 Global Industrial Generative AI Automation Market Outlook, By Other Applications (2023-2034) ($MN)
  • Table 35 Global Industrial Generative AI Automation Market Outlook, By End User (2023-2034) ($MN)
  • Table 36 Global Industrial Generative AI Automation Market Outlook, By Automotive (2023-2034) ($MN)
  • Table 37 Global Industrial Generative AI Automation Market Outlook, By Electronics (2023-2034) ($MN)
  • Table 38 Global Industrial Generative AI Automation Market Outlook, By Semiconductors (2023-2034) ($MN)
  • Table 39 Global Industrial Generative AI Automation Market Outlook, By Industrial Manufacturing (2023-2034) ($MN)
  • Table 40 Global Industrial Generative AI Automation Market Outlook, By Aerospace & Defense (2023-2034) ($MN)
  • Table 41 Global Industrial Generative AI Automation Market Outlook, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.