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1822466

2032 年製造業生成式人工智慧市場預測：按組件、部署模式、公司規模、技術、應用、最終用戶和地區進行的全球分析

Generative AI for Manufacturing Market Forecasts to 2032 - Global Analysis By Component (Software, Hardware & Infrastructure and Services), Deployment Mode, Enterprise Size, Technology, 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，全球製造業生成式人工智慧市場規模預計在 2025 年達到 6.396 億美元，到 2032 年將達到 78.218 億美元，預測期內的複合年成長率為 43%。

製造業的生成式人工智慧是指利用先進的人工智慧技術，在製造業中自主創建、最佳化和增強產品、流程和設計。它利用機器學習、深度學習和模擬演算法來產生創新解決方案，提高效率，減少材料浪費，並加快產品開發週期。透過分析海量資料集，它可以提案最佳化設計，預測效能結果，並模擬生產工作流程。這項技術使製造商能夠更快地創新，最大限度地降低成本，提高質量，並更精準、更靈活地回應不斷變化的市場需求。

提高生產力並降低成本

人工智慧驅動的設計、預測性維護和流程模擬能夠加快決策速度並降低營運成本。與數位雙胞胎、機器人技術和智慧工廠的整合正在拓展其應用範圍。公共和私營部門對工業人工智慧基礎設施的投資正在推動其應用。開發人員正在將生成模型融入產品開發、供應鏈和品管工作流程中。這些動態將生產力和成本效率定位為製造業產生人工智慧市場的關鍵驅動力，從而推動整體市場成長。

實施成本高

製造商在將人工智慧模型擴展到舊有系統和異質環境方面面臨挑戰。客製化、模型檢驗和網路安全進一步增加了營運成本。預算限制和不確定的投資報酬率正在減緩中型企業對人工智慧的採用。儘管人們對人工智慧主導的轉型興趣日益濃厚，但這些因素仍在阻礙市場擴張。

永續性、資源最佳化

人工智慧驅動的設計最佳化、流程模擬和預測分析支援永續製造策略。政府指令和環境、社會和治理 (ESG) 目標正在加速各行業的應用。與循環製造、綠色供應鏈和碳足跡追蹤的整合正在擴大其應用範圍。這些新興市場的發展為市場成長創造了有利條件，從而加速了生成式人工智慧技術的普及。

數據品質、可用性和遺留數據

舊有系統產生的資料碎片化、非標準化且不完整，限制了模型的準確性和擴充性。製造商必須投資於資料清理、整合和管治，才能充分發揮人工智慧的潛力。數位轉型緩慢和互通性不足正在增加營運風險。這些限制造成了系統性障礙，並限制了市場的全面發展。

COVID-19的影響：

新冠疫情擾亂了製造業生成式人工智慧市場，導致先導計畫暫時延遲、資本支出減少以及供應鏈不穩定。製造工廠和研發中心遭遇營運限制和人員短缺。然而，對自動化、遠端監控和數位韌性的日益重視部分抵消了經濟放緩的影響。疫情後的復甦將由對擴充性、智慧和永續性人工智慧解決方案日益成長的需求，以及全球市場在雲端部署、邊緣運算和協同設計平台方面的創新所推動。

預計軟體領域將成為預測期內最大的領域

軟體領域預計將在預測期內佔據最大的市場佔有率，這得益於其在整個製造流程中實現衍生設計、模擬和最佳化的核心作用。人工智慧平台正被用於產品構思、流程建模和預測分析。供應商正在透過雲端整合、低程式碼介面和領域特定模組增強其功能。汽車、航太、電子和工業設備領域的需求仍然強勁。監管部門對數位轉型和智慧製造的支持正在推動其應用。

預計中小企業板塊在預測期內的複合年成長率最高

預計在預測期內，中小企業 (SME) 領域將實現最高成長率，這得益於對敏捷、經濟高效且可擴展的人工智慧解決方案的需求。中小企業正在採用生成式人工智慧來提高設計敏捷性、降低原型製作成本並提升營運效率。與雲端平台、訂閱模式和即插即用架構的整合正在加速其應用。公共和私營部門在中小企業數位化和人工智慧素養方面的舉措正在蓬勃發展。各區域製造地對競爭差異化和精實創新的需求正在成長。

佔比最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率，這得益於其強大的製造業基礎、快速的工業數位化以及政府對人工智慧應用的支持。中國、日本、韓國和印度等國家在電子產品、汽車和工業設備生產方面處於領先地位。智慧工廠、人工智慧創新中心和勞動力技能提升方面的公共舉措正在增強需求。區域製造商和跨國公司正在擴大其在出口區和工業走廊的業務。具有競爭力的價格和政策協調正在推動人工智慧的應用。

複合年成長率最高的地區：

在預測期內，北美預計將呈現最高的複合年成長率，這得益於對先進製造業的強勁投資、回流策略以及人工智慧技術的創新。美國和加拿大正在擴大生成式人工智慧在航太、醫療設備和高科技製造業的應用。官民合作關係和永續性要求正在加速市場滲透。對營運彈性、數位雙胞胎和智慧設計自動化的需求正在推動成長。區域新興企業和研究機構在模型開發和產業整合方面處於領先地位。

提供免費客製化：

此報告的訂閱者可以使用以下免費自訂選項之一：

  • 公司簡介
    • 對最多三家其他市場公司進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 區域細分
    • 根據客戶興趣對主要國家進行的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 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
  • 競爭對手之間的競爭

5. 全球製造業生成式人工智慧市場（按組件）

  • 軟體
  • 硬體和基礎設施
  • 服務

6. 全球製造業生成式人工智慧市場（依部署模式）

  • 雲
  • 本地部署
  • 混合
  • 邊緣

7. 全球製造業生成式人工智慧市場（依公司規模）

  • 主要企業
  • 小型企業

8. 全球製造業生成式人工智慧市場（按技術）

  • 大規模語言模型（LLM）
  • 生成影像/視訊模型（GAN、Diffusion）
  • 衍生設計演算法
  • 合成數據生成引擎

9. 全球製造業生成式人工智慧市場（按應用）

  • 預測性維護
  • 供應鏈最佳化
  • 機器人與自動化
  • 人力資源發展與支持
  • 監理合規
  • 其他用途

第 10 章：全球製造業生成式人工智慧市場（依最終用戶分類）

  • 汽車和電動車
  • 航太和國防
  • 電子和半導體
  • 重型機械和設備
  • 製藥和生命科學
  • 化學和加工工業
  • 其他最終用戶

第 11 章：全球製造業生成式人工智慧市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第13章：企業概況

  • Siemens AG
  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services, Inc.
  • NVIDIA Corporation
  • SAP SE
  • Oracle Corporation
  • Rockwell Automation, Inc.
  • Schneider Electric SE
  • ABB Ltd.
  • Dassault Systemes SE
  • Autodesk, Inc.
  • Cognex Corporation
  • PTC Inc.
Product Code: SMRC31221

According to Stratistics MRC, the Global Generative AI for Manufacturing Market is accounted for $639.6 million in 2025 and is expected to reach $7821.8 million by 2032 growing at a CAGR of 43% during the forecast period. Generative AI for Manufacturing refers to the use of advanced artificial intelligence techniques to autonomously create, optimize, and enhance products, processes, and designs in the manufacturing sector. It leverages machine learning, deep learning, and simulation algorithms to generate innovative solutions, improve efficiency, reduce material waste, and accelerate product development cycles. By analyzing large datasets, it can propose optimized designs, predict performance outcomes, and simulate production workflows. This technology enables manufacturers to innovate faster, minimize costs, enhance quality, and adapt to dynamic market demands with precision and agility.

Market Dynamics:

Driver:

Productivity enhancement & cost reduction

AI-driven design, predictive maintenance, and process simulation are enabling faster decision-making and lower operational costs. Integration with digital twins, robotics, and smart factories is expanding application scope. Public and private investments in industrial AI infrastructure are reinforcing adoption. Enterprises are embedding generative models across product development, supply chain, and quality control workflows. These dynamics are positioning productivity and cost efficiency as key drivers of the generative AI for manufacturing market, thereby boosting overall market growth.

Restraint:

High cost of implementation

Manufacturers face challenges in scaling AI models across legacy systems and heterogeneous environments. Customization, model validation, and cybersecurity further increase operational overhead. Budget constraints and uncertain ROI are slowing adoption among mid-tier players. These factors are constraining market expansion despite growing interest in AI-driven transformation.

Opportunity:

Sustainability, resource optimization

AI-powered design optimization, process simulation, and predictive analytics are supporting sustainable production strategies. Government mandates and ESG goals are accelerating adoption across sectors. Integration with circular manufacturing, green supply chains, and carbon footprint tracking is expanding reach. These developments are creating favorable conditions for market growth, thereby accelerating adoption of generative AI technologies.

Threat:

Data quality, availability, and legacy data

Legacy systems generate fragmented, unstandardized, and incomplete data, limiting model accuracy and scalability. Manufacturers must invest in data cleansing, integration, and governance to unlock full AI potential. Delays in digital transformation and lack of interoperability are increasing operational risk. These limitations are introducing systemic barriers and constraining full-scale market development.

Covid-19 Impact:

The Covid-19 pandemic disrupted the Generative AI for Manufacturing market, causing temporary delays in pilot projects, reduced capital expenditure, and supply chain volatility. Manufacturing plants and R&D centers experienced operational constraints and workforce limitations. However, the increased focus on automation, remote monitoring, and digital resilience partially offset the slowdown. Post-pandemic recovery is driven by growing demand for scalable, intelligent, and sustainability-aligned AI solutions, along with innovations in cloud deployment, edge computing, and collaborative design platforms across global markets.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period owing to its central role in enabling generative design, simulation, and optimization across manufacturing workflows. AI platforms are being deployed for product ideation, process modeling, and predictive analytics. Vendors are enhancing capabilities with cloud integration, low-code interfaces, and domain-specific modules. Demand remains strong across automotive, aerospace, electronics, and industrial equipment sectors. Regulatory support for digital transformation and smart manufacturing is reinforcing adoption.

The small & medium enterprises (SMEs) segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the small & medium enterprises (SMEs) segment is predicted to witness the highest growth rate driven by demand for agile, cost-effective, and scalable AI solutions. SMEs are adopting generative AI to enhance design agility, reduce prototyping costs, and improve operational efficiency. Integration with cloud platforms, subscription models, and plug-and-play architectures is accelerating deployment. Public and private initiatives in SME digitization and AI literacy are reinforcing momentum. Demand for competitive differentiation and lean innovation is expanding across regional manufacturing hubs.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to its robust manufacturing base, rapid industrial digitization, and government support for AI adoption. Countries like China, Japan, South Korea, and India are leading in electronics, automotive, and industrial equipment production. Public initiatives in smart factories, AI innovation hubs, and workforce upskilling are reinforcing demand. Regional manufacturers and global players are scaling deployment across export zones and industrial corridors. Competitive pricing and policy alignment are supporting widespread adoption.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR driven by strong investment in advanced manufacturing, reshoring strategies, and innovation in AI technologies. The U.S. and Canada are expanding use of generative AI in aerospace, medical devices, and high-tech manufacturing. Public-private partnerships and sustainability mandates are accelerating market penetration. Demand for operational resilience, digital twins, and intelligent design automation is reinforcing growth. Regional startups and research institutions are leading in model development and industrial integration.

Key players in the market

Some of the key players in Generative AI for Manufacturing Market include Siemens AG, IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, Inc., NVIDIA Corporation, SAP SE, Oracle Corporation, Rockwell Automation, Inc., Schneider Electric SE, ABB Ltd., Dassault Systemes SE, Autodesk, Inc., Cognex Corporation and PTC Inc.

Key Developments:

In June 2025, Siemens expanded its partnership with NVIDIA to accelerate generative AI adoption in manufacturing via the Siemens Xcelerator platform. This collaboration integrates NVIDIA's accelerated computing with Siemens' industrial software, enabling real-time decision-making and AI-powered factory automation.

In March 2025, IBM showcased watsonx for Manufacturing, integrating generative AI into quality control, supply chain optimization, and predictive maintenance. The platform uses large language models and computer vision to automate defect detection and streamline production workflows.

Components Covered:

  • Software
  • Hardware & Infrastructure
  • Services

Deployment Modes Covered:

  • Cloud
  • On-premises
  • Hybrid
  • Edge

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Technologies Covered:

  • Large Language Models (LLMs)
  • Generative image/video models (GANs, diffusion)
  • Generative design algorithms
  • Synthetic data generation engines

Applications Covered:

  • Predictive maintenance
  • Supply chain optimization
  • Robotics & automation
  • Workforce training & assistance
  • Regulatory compliance
  • Other Applications

End Users Covered:

  • Automotive & EVs
  • Aerospace & Defense
  • Electronics & Semiconductors
  • Heavy Machinery & Equipment
  • Pharmaceuticals & Life Sciences
  • Chemicals & Process Industries
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Generative AI for Manufacturing Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Hardware & Infrastructure
  • 5.4 Services

6 Global Generative AI for Manufacturing Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premises
  • 6.4 Hybrid
  • 6.5 Edge

7 Global Generative AI for Manufacturing Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Large Enterprises
  • 7.3 Small & Medium Enterprises (SMEs)

8 Global Generative AI for Manufacturing Market, By Technology

  • 8.1 Introduction
  • 8.2 Large Language Models (LLMs)
  • 8.3 Generative image/video models (GANs, diffusion)
  • 8.4 Generative design algorithms
  • 8.5 Synthetic data generation engines

9 Global Generative AI for Manufacturing Market, By Application

  • 9.1 Introduction
  • 9.2 Predictive maintenance
  • 9.3 Supply chain optimization
  • 9.4 Robotics & automation
  • 9.5 Workforce training & assistance
  • 9.6 Regulatory compliance
  • 9.7 Other Applications

10 Global Generative AI for Manufacturing Market, By End User

  • 10.1 Introduction
  • 10.2 Automotive & EVs
  • 10.3 Aerospace & Defense
  • 10.4 Electronics & Semiconductors
  • 10.5 Heavy Machinery & Equipment
  • 10.6 Pharmaceuticals & Life Sciences
  • 10.7 Chemicals & Process Industries
  • 10.8 Other End Users

11 Global Generative AI for Manufacturing Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Siemens AG
  • 13.2 IBM Corporation
  • 13.3 Microsoft Corporation
  • 13.4 Google LLC
  • 13.5 Amazon Web Services, Inc.
  • 13.6 NVIDIA Corporation
  • 13.7 SAP SE
  • 13.8 Oracle Corporation
  • 13.9 Rockwell Automation, Inc.
  • 13.10 Schneider Electric SE
  • 13.11 ABB Ltd.
  • 13.12 Dassault Systemes SE
  • 13.13 Autodesk, Inc.
  • 13.14 Cognex Corporation
  • 13.15 PTC Inc.

List of Tables

  • Table 1 Global Generative AI for Manufacturing Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Generative AI for Manufacturing Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Generative AI for Manufacturing Market Outlook, By Software (2024-2032) ($MN)
  • Table 4 Global Generative AI for Manufacturing Market Outlook, By Hardware & Infrastructure (2024-2032) ($MN)
  • Table 5 Global Generative AI for Manufacturing Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Generative AI for Manufacturing Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 7 Global Generative AI for Manufacturing Market Outlook, By Cloud (2024-2032) ($MN)
  • Table 8 Global Generative AI for Manufacturing Market Outlook, By On-premises (2024-2032) ($MN)
  • Table 9 Global Generative AI for Manufacturing Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 10 Global Generative AI for Manufacturing Market Outlook, By Edge (2024-2032) ($MN)
  • Table 11 Global Generative AI for Manufacturing Market Outlook, By Enterprise Size (2024-2032) ($MN)
  • Table 12 Global Generative AI for Manufacturing Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 13 Global Generative AI for Manufacturing Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 14 Global Generative AI for Manufacturing Market Outlook, By Technology (2024-2032) ($MN)
  • Table 15 Global Generative AI for Manufacturing Market Outlook, By Large Language Models (LLMs) (2024-2032) ($MN)
  • Table 16 Global Generative AI for Manufacturing Market Outlook, By Generative image/video models (GANs, diffusion) (2024-2032) ($MN)
  • Table 17 Global Generative AI for Manufacturing Market Outlook, By Generative design algorithms (2024-2032) ($MN)
  • Table 18 Global Generative AI for Manufacturing Market Outlook, By Synthetic data generation engines (2024-2032) ($MN)
  • Table 19 Global Generative AI for Manufacturing Market Outlook, By Application (2024-2032) ($MN)
  • Table 20 Global Generative AI for Manufacturing Market Outlook, By Predictive maintenance (2024-2032) ($MN)
  • Table 21 Global Generative AI for Manufacturing Market Outlook, By Supply chain optimization (2024-2032) ($MN)
  • Table 22 Global Generative AI for Manufacturing Market Outlook, By Robotics & automation (2024-2032) ($MN)
  • Table 23 Global Generative AI for Manufacturing Market Outlook, By Workforce training & assistance (2024-2032) ($MN)
  • Table 24 Global Generative AI for Manufacturing Market Outlook, By Regulatory compliance (2024-2032) ($MN)
  • Table 25 Global Generative AI for Manufacturing Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 26 Global Generative AI for Manufacturing Market Outlook, By End User (2024-2032) ($MN)
  • Table 27 Global Generative AI for Manufacturing Market Outlook, By Automotive & EVs (2024-2032) ($MN)
  • Table 28 Global Generative AI for Manufacturing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 29 Global Generative AI for Manufacturing Market Outlook, By Electronics & Semiconductors (2024-2032) ($MN)
  • Table 30 Global Generative AI for Manufacturing Market Outlook, By Heavy Machinery & Equipment (2024-2032) ($MN)
  • Table 31 Global Generative AI for Manufacturing Market Outlook, By Pharmaceuticals & Life Sciences (2024-2032) ($MN)
  • Table 32 Global Generative AI for Manufacturing Market Outlook, By Chemicals & Process Industries (2024-2032) ($MN)
  • Table 33 Global Generative AI for Manufacturing Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.