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市场调查报告书
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1822466

2032 年製造业生成式人工智慧市场预测：按组件、部署模式、公司规模、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球製造业生成式人工智慧市场规模预计在 2025 年达到 6.396 亿美元，到 2032 年将达到 78.218 亿美元，预测期内的复合年增长率为 43%。

製造业的生成式人工智慧是指利用先进的人工智慧技术，在製造业中自主创建、优化和增强产品、流程和设计。它利用机器学习、深度学习和模拟演算法来产生创新解决方案，提高效率，减少材料浪费，并加快产品开发週期。透过分析海量资料集，它可以提案最佳化设计，预测效能结果，并模拟生产工作流程。这项技术使製造商能够更快地创新，最大限度地降低成本，提高质量，并更精准、更灵活地回应不断变化的市场需求。

提高生产力并降低成本

人工智慧驱动的设计、预测性维护和流程模拟能够加快决策速度并降低营运成本。与数位双胞胎、机器人技术和智慧工厂的整合正在拓展其应用范围。公共和私营部门对工业人工智慧基础设施的投资正在推动其应用。开发人员正在将生成模型融入产品开发、供应链和品管工作流程中。这些动态将生产力和成本效率定位为製造业产生人工智慧市场的关键驱动力，从而推动整体市场成长。

实施成本高

製造商在将人工智慧模型扩展到旧有系统和异质环境方面面临挑战。客製化、模型检验和网路安全进一步增加了营运成本。预算限制和不确定的投资报酬率正在减缓中型企业对人工智慧的采用。儘管人们对人工智慧主导的转型兴趣日益浓厚，但这些因素仍在阻碍市场扩张。

永续性、资源优化

人工智慧驱动的设计最佳化、流程模拟和预测分析支援永续製造策略。政府指令和环境、社会和治理 (ESG) 目标正在加速各行业的应用。与循环製造、绿色供应链和碳足迹追踪的整合正在扩大其应用范围。这些新兴市场的发展为市场成长创造了有利条件，从而加速了生成式人工智慧技术的普及。

数据品质、可用性和遗留数据

旧有系统产生的资料碎片化、非标准化且不完整，限制了模型的准确性和扩充性。製造商必须投资于资料清理、整合和管治，才能充分发挥人工智慧的潜力。数位转型缓慢和互通性不足正在增加营运风险。这些限製造成了系统性障碍，并限制了市场的全面发展。

COVID-19的影响：

新冠疫情扰乱了製造业生成式人工智慧市场，导致先导计画暂时延迟、资本支出减少以及供应链不稳定。製造工厂和研发中心遭遇营运限制和人员短缺。然而，对自动化、远端监控和数位韧性的日益重视部分抵消了经济放缓的影响。疫情后的復苏将由对扩充性、智慧和永续性人工智慧解决方案日益增长的需求，以及全球市场在云端部署、边缘运算和协同设计平台方面的创新所推动。

预计软体领域将成为预测期内最大的领域

软体领域预计将在预测期内占据最大的市场份额，这得益于其在整个製造流程中实现衍生设计、模拟和最佳化的核心作用。人工智慧平台正被用于产品构思、流程建模和预测分析。供应商正在透过云端整合、低程式码介面和领域特定模组增强其功能。汽车、航太、电子和工业设备领域的需求仍然强劲。监管部门对数位转型和智慧製造的支持正在推动其应用。

预计中小企业板块在预测期内的复合年增长率最高

预计在预测期内，中小企业 (SME) 领域将实现最高成长率，这得益于对敏捷、经济高效且可扩展的人工智慧解决方案的需求。中小企业正在采用生成式人工智慧来提高设计敏捷性、降低原型製作成本并提升营运效率。与云端平台、订阅模式和即插即用架构的整合正在加速其应用。公共和私营部门在中小企业数位化和人工智慧素养方面的倡议正在蓬勃发展。各区域製造地对竞争差异化和精实创新的需求正在成长。

占比最大的地区：

在预测期内，亚太地区预计将占据最大的市场份额，这得益于其强大的製造业基础、快速的工业数位化以及政府对人工智慧应用的支持。中国、日本、韩国和印度等国家在电子产品、汽车和工业设备生产方面处于领先地位。智慧工厂、人工智慧创新中心和劳动力技能提升方面的公共倡议正在增强需求。区域製造商和跨国公司正在扩大其在出口区和工业走廊的业务。具有竞争力的价格和政策协调正在推动人工智慧的应用。

复合年增长率最高的地区：

在预测期内，北美预计将呈现最高的复合年增长率，这得益于对先进製造业的强劲投资、回流策略以及人工智慧技术的创新。美国和加拿大正在扩大生成式人工智慧在航太、医疗设备和高科技製造业的应用。官民合作关係和永续性要求正在加速市场渗透。对营运弹性、数位双胞胎和智慧设计自动化的需求正在推动成长。区域新兴企业和研究机构在模型开发和产业整合方面处于领先地位。

提供免费客製化：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球製造业生成式人工智慧市场（按组件）

  • 软体
  • 硬体和基础设施
  • 服务

6. 全球製造业生成式人工智慧市场（依部署模式）

  • 云
  • 本地部署
  • 杂交种
  • 边缘

7. 全球製造业生成式人工智慧市场（依公司规模）

  • 大公司
  • 小型企业

8. 全球製造业生成式人工智慧市场（按技术）

  • 大规模语言模型（LLM）
  • 生成影像/视讯模型（GAN、Diffusion）
  • 衍生设计演算法
  • 合成数据生成引擎

9. 全球製造业生成式人工智慧市场（按应用）

  • 预测性维护
  • 供应链优化
  • 机器人与自动化
  • 人力资源发展与支持
  • 监理合规
  • 其他用途

第 10 章：全球製造业生成式人工智慧市场（依最终用户划分）

  • 汽车和电动车
  • 航太和国防
  • 电子和半导体
  • 重型机械和设备
  • 製药和生命科学
  • 化学和加工工业
  • 其他最终用户

第 11 章：全球製造业生成式人工智慧市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：企业概况

  • 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.