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市场调查报告书
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1848452

全球製造业人工智慧市场：预测至 2032 年—按组件、功能、部署方式、技术、最终用户和地区进行分析

AI in Manufacturing Market Forecasts to 2032 - Global Analysis By Component (Hardware Software and Services), Function, Deployment Mode, Technology, 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，预计 2025 年全球製造业人工智慧市场规模将达到 55.9 亿美元，到 2032 年将达到 416.1 亿美元，预测期内复合年增长率将达到 33.2%。

製造业人工智慧 (AI) 指的是利用先进的演算法、机器学习和数据分析来优化生产流程、提高产品品质并提升营运效率。这使得预测性维护、即时监控和智慧自动化能够贯穿整个製造价值链。透过分析大量生产数据，人工智慧可以帮助识别模式、预测设备故障并简化决策流程。这项技术支持智慧製造，减少停机时间、降低成本并提高灵活性，从而推动向工业 4.0 和全互联智慧工厂的转型。

对自动化和工业4.0采用的需求

企业正在部署智慧型系统来优化生产线、减少停机时间并加强品管。预测性维护、数位双胞胎和自主机器人正在重塑工厂的工作流程。人工智慧驱动的分析正在提高供应链的透明度和库存管理效率。各行各业对智慧工厂和互联基础设施的投资都在增加。市场正朝着数据驱动的自适应製造生态系统发展。

高昂的初始投资和实施成本

人工智慧的应用需要对硬体、软体和资料基础设施进行大量资金投入的升级。客製化、整合和员工培训都会增加营运成本。复杂的试点阶段和扩充性挑战会延长投资回报週期。中小企业往往缺乏资源来承担领先成本或管理长期维护。这些财务障碍会减缓对成本敏感的环境中的平台部署。

政府支持和政策倡议

国家层级推出的智慧产业、数位转型和产业竞争力提升计画提供补贴和税收优惠。官民合作关係正在加速各战略领域的研发和试点部署。法律规范也在不断完善，以支援人工智慧在安全关键型环境中的应用。劳动力技能提升和创新津贴正在加强生态系统建设。这项发展势头正推动人工智慧的应用范围超越大型企业。

熟练劳动力短缺

製造商在资料科学、机器学习和工业自动化领域面临专业人才短缺的问题。现有员工通常需要接受大量的再培训才能管理人工智慧系统并解读分析结果。这种人才短缺正在影响部署进度和系统可靠性。建构永续的人才储备需要学术界、产业界和政府之间的合作。这些挑战正在推动对教育、认证和劳动力发展项目的投资。

新冠疫情的影响：

疫情加速了人工智慧（AI）的普及应用，製造业亟需提升韧性并实现远端营运。供应链中断和劳动力短缺凸显了预测分析和自主系统的重要性。企业投资人工智慧以因应需求波动、优化资源配置并确保业务连续性。远端监控、虚拟试运行和数位孪生技术在疫情封锁期间迅速普及。復苏倡议正在推动对智慧製造基础设施的长期投资。这场危机已将人工智慧从一项实验性技术永久提升为战略必需品。

预计在预测期内，机器学习领域将成为最大的细分市场。

由于机器学习在优化生产、品质和维护方面的多功能性，预计在预测期内，机器学习领域将占据最大的市场份额。製造商正在使用机器学习演算法来检测异常情况、预测设备故障并微调程式参数。与物联网感测器和云端平台的整合正在提高数据收集和模型精度。供应商提供预训练模型和低程式码接口，以简化部署。离散製造业製造业还是流程製造业，可扩展且适应性强的解决方案的需求都在不断增长。

预计在预测期内，医药和化学工业将实现最高的复合年增长率。

在预测期内，医药和化学产业预计将实现最高成长率，因为人工智慧能够提升受法规环境下的精准性、合规性和效率。企业正在采用人工智慧进行批次优化、预测性品管以及关键参数的即时监控。与实验室自动化和数位化文件的整合正在提高可追溯性和审核准备度。药物发现、製剂和危险物质物料输送正在推动可扩展解决方案的需求。监管支援和创新资金正在加速人工智慧的普及应用。该行业正在透过智慧过程控制重新定义製造业。

占比最大的地区：

在预测期内，北美预计将占据最大的市场份额，这主要得益于其先进的工业基础、强大的研发生态系统和清晰的监管环境。美国和加拿大正在汽车、航太、电子和製药等产业大力推广人工智慧的应用。对云端基础设施、边缘运算和网路安全的投资正在推动平台走向成熟。主要人工智慧供应商、製造业巨头和学术机构的参与增强了市场的实力。政府倡议和创新中心正在加速人工智慧的部署。

复合年增长率最高的地区：

预计亚太地区在预测期内将实现最高的复合年增长率，这主要得益于工业数位化、政策支援和製造业扩张的共同推动。中国、印度、日本和韩国等国家正在投资智慧工厂、人工智慧实验室和劳动力发展。本土新兴企业和全球供应商正在推出针对不同製造环境的区域性解决方案。政府支持的项目和出口导向战略正在加速这些解决方案的普及应用。各行业对自动化和品质优化的需求都在不断增长。该地区正在崛起为製造业人工智慧的战略成长中心。

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  • 公司简介
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  • 区域分类
    • 根据客户兴趣对主要国家进行市场估算、预测和复合年增长率分析（註：基于可行性检查）
  • 竞争基准化分析
    • 基于产品系列、地域覆盖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 引言

  • 概述
  • 相关利益者
  • 分析范围
  • 分析方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 分析方法
  • 分析材料
    • 原始研究资料
    • 二手研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 司机
  • 抑制因素
  • 市场机会
  • 威胁
  • 技术分析
  • 终端用户分析
  • 新兴市场
  • 感染疾病疫情的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代产品的威胁
  • 新参与企业的威胁
  • 公司间的竞争

5. 全球製造业人工智慧市场（按组件划分）

  • 硬体
    • 感应器
    • 边缘设备
    • 工业机器人
  • 软体
    • 人工智慧平台
    • 分析引擎
    • 视觉控制系统
  • 服务
    • 整合与咨询
    • 託管服务
    • 培训和支持

6. 全球製造业人工智慧市场按功能划分

  • 品管和检验
  • 预测性维护
  • 生产计画和调度
  • 供应链优化
  • 流程自动化
  • 能源管理
  • 其他功能

第七章 全球製造业人工智慧市场依部署方式划分

  • 本地部署
  • 云端基础的

8. 全球製造业人工智慧市场（按技术划分）

  • 机器学习
  • 电脑视觉
  • 自然语言处理（NLP）
  • 预测分析
  • 强化学习
  • 其他技术

9. 全球製造业人工智慧市场（按最终用户划分）

  • 车
  • 航太/国防
  • 电子和半导体
  • 医药和化学品
  • 饮食
  • 金属和采矿
  • 其他最终用户

第十章：全球製造业人工智慧市场区域划分

  • 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
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 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

第十一章：主要趋势

  • 合约、商业伙伴关係和合资企业
  • 企业合併（M&A）
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十二章：公司简介

  • Siemens AG
  • General Electric Company（GE）
  • ABB Ltd.
  • Rockwell Automation, Inc.
  • Schneider Electric SE
  • Honeywell International Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Amazon Web Services, Inc.（AWS）
  • Google LLC（Google Cloud AI）
  • NVIDIA Corporation
  • Bosch Group
  • Mitsubishi Electric Corporation
  • Fanuc Corporation
  • Yokogawa Electric Corporation
Product Code: SMRC31573

According to Stratistics MRC, the Global AI in Manufacturing Market is accounted for $5.59 billion in 2025 and is expected to reach $41.61 billion by 2032 growing at a CAGR of 33.2% during the forecast period. Artificial Intelligence (AI) in manufacturing refers to the use of advanced algorithms, machine learning, and data analytics to optimize production processes, improve product quality, and enhance operational efficiency. It enables predictive maintenance, real-time monitoring, and intelligent automation across the manufacturing value chain. By analyzing large volumes of production data, AI helps identify patterns, predict equipment failures, and streamline decision-making. This technology supports smart manufacturing, reduces downtime, minimizes costs, and enhances flexibility, driving the transformation toward Industry 4.0 and fully connected intelligent factories.

Market Dynamics:

Driver:

Demand for automation & industry 4.0 adoption

Companies are deploying intelligent systems to optimize production lines, reduce downtime, and enhance quality control. Predictive maintenance, digital twins, and autonomous robotics are reshaping factory workflows. AI-powered analytics are improving supply chain visibility and inventory management. Investment in smart factories and connected infrastructure is rising across sectors. The market is transitioning toward data-driven, adaptive manufacturing ecosystems.

Restraint:

High initial investment & implementation costs

AI deployment requires capital-intensive upgrades to hardware, software, and data infrastructure. Customization, integration, and workforce training add to operational overhead. ROI timelines can be prolonged due to complex pilot phases and scalability challenges. Smaller firms often lack the resources to absorb upfront costs or manage long-term maintenance. These financial barriers are slowing platform rollout in cost-sensitive environments.

Opportunity:

Government support and policy initiatives

National programs focused on smart industry, digital transformation, and industrial competitiveness are offering subsidies and tax incentives. Public-private partnerships are accelerating R&D and pilot deployments across strategic sectors. Regulatory frameworks are evolving to support AI integration in safety-critical environments. Workforce reskilling and innovation grants are reinforcing ecosystem development. This momentum is expanding AI accessibility beyond large enterprises.

Threat:

Lack of skilled workforce

Manufacturers face shortages in data science, machine learning, and industrial automation expertise. Existing staff often require extensive retraining to manage AI-enabled systems and interpret analytics outputs. Talent gaps are affecting deployment timelines and system reliability. Collaboration between academia, industry, and government is needed to build a sustainable talent pipeline. These challenges are prompting investment in education, certification, and workforce development programs.

Covid-19 Impact:

The pandemic accelerated AI adoption as manufacturers sought resilience and remote operability. Disruptions in supply chains and labor availability highlighted the need for predictive analytics and autonomous systems. Companies invested in AI to manage demand fluctuations, optimize resource allocation, and ensure continuity. Remote monitoring, virtual commissioning, and digital twins gained traction during lockdowns. Recovery efforts are driving long-term investment in smart manufacturing infrastructure. The crisis permanently elevated AI from experimental technology to strategic necessity.

The machine learning segment is expected to be the largest during the forecast period

The machine learning segment is expected to account for the largest market share during the forecast period due to its versatility in optimizing production, quality, and maintenance. Manufacturers are using ML algorithms to detect anomalies, forecast equipment failures, and fine-tune process parameters. Integration with IoT sensors and cloud platforms is enhancing data collection and model accuracy. Vendors are offering pre-trained models and low-code interfaces to simplify deployment. Demand for scalable, adaptive solutions is rising across discrete and process industries.

The pharmaceuticals & chemicals segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the pharmaceuticals & chemicals segment is predicted to witness the highest growth rate as AI enables precision, compliance, and efficiency in regulated environments. Companies are deploying AI for batch optimization, predictive quality control, and real-time monitoring of critical parameters. Integration with lab automation and digital documentation is improving traceability and audit readiness. Demand for scalable solutions is rising in drug discovery, formulation, and hazardous material handling. Regulatory support and innovation funding are accelerating adoption. This segment is redefining manufacturing through intelligent process control.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its advanced industrial base, strong R&D ecosystem, and regulatory clarity. The United States and Canada are scaling AI adoption across automotive, aerospace, electronics, and pharmaceuticals. Investment in cloud infrastructure, edge computing, and cybersecurity is driving platform maturity. Presence of leading AI vendors, manufacturing giants, and academic institutions is reinforcing market strength. Government initiatives and innovation hubs are accelerating deployment.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR as industrial digitization, policy support, and manufacturing expansion converge. Countries like China, India, Japan, and South Korea are investing in smart factories, AI labs, and workforce development. Local startups and global vendors are launching region-specific solutions tailored to diverse manufacturing environments. Government-backed programs and export-oriented strategies are accelerating adoption. Demand for automation and quality optimization is rising across sectors. The region is emerging as a strategic growth hub for AI in manufacturing.

Key players in the market

Some of the key players in AI in Manufacturing Market include Siemens AG, General Electric Company (GE), ABB Ltd., Rockwell Automation, Inc., Schneider Electric SE, Honeywell International Inc., IBM Corporation, Microsoft Corporation, Amazon Web Services, Inc. (AWS), Google LLC (Google Cloud AI), NVIDIA Corporation, Bosch Group, Mitsubishi Electric Corporation, Fanuc Corporation and Yokogawa Electric Corporation.

Key Developments:

In September 2025, Siemens and TRUMPF partnered to advance digital manufacturing and AI readiness. The partnership combined Siemens' digital expertise with TRUMPF's manufacturing excellence, focusing on system integration challenges and enabling faster time-to-market with standardized interfaces.

In February 2025, GE Aerospace announced expanded partnerships with HAL and Tata Group to strengthen its manufacturing footprint in India. These collaborations support AI-driven precision manufacturing and supply chain digitization, aligning with India's "Make in India" initiative and GE's $30 million investment in its Pune multi-modal facility.

Components Covered:

  • Hardware
  • Software
  • Services

Functions Covered:

  • Quality Control & Inspection
  • Predictive Maintenance
  • Production Planning & Scheduling
  • Supply Chain Optimization
  • Process Automation
  • Energy Management
  • Other Functions

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Technologies Covered:

  • Machine Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • Predictive Analytics
  • Reinforcement Learning
  • Other Technologies

End Users Covered:

  • Automotive
  • Aerospace & Defense
  • Electronics & Semiconductors
  • Pharmaceuticals & Chemicals
  • Food & Beverage
  • Metals & Mining
  • 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 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 AI in Manufacturing Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 Edge Devices
    • 5.2.3 Industrial Robots
  • 5.3 Software
    • 5.3.1 AI Platforms
    • 5.3.2 Analytics Engines
    • 5.3.3 Vision & Control Systems
  • 5.4 Services
    • 5.4.1 Integration & Consulting
    • 5.4.2 Managed Services
    • 5.4.3 Training & Support

6 Global AI in Manufacturing Market, By Function

  • 6.1 Introduction
  • 6.2 Quality Control & Inspection
  • 6.3 Predictive Maintenance
  • 6.4 Production Planning & Scheduling
  • 6.5 Supply Chain Optimization
  • 6.6 Process Automation
  • 6.7 Energy Management
  • 6.8 Other Functions

7 Global AI in Manufacturing Market, By Deployment Mode

  • 7.1 Introduction
  • 7.2 On-Premise
  • 7.3 Cloud-Based

8 Global AI in Manufacturing Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning
  • 8.3 Computer Vision
  • 8.4 Natural Language Processing (NLP)
  • 8.5 Predictive Analytics
  • 8.6 Reinforcement Learning
  • 8.7 Other Technologies

9 Global AI in Manufacturing Market, By End User

  • 9.1 Introduction
  • 9.2 Automotive
  • 9.3 Aerospace & Defense
  • 9.4 Electronics & Semiconductors
  • 9.5 Pharmaceuticals & Chemicals
  • 9.6 Food & Beverage
  • 9.7 Metals & Mining
  • 9.9 Other End Users

10 Global AI in Manufacturing Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Siemens AG
  • 12.2 General Electric Company (GE)
  • 12.3 ABB Ltd.
  • 12.4 Rockwell Automation, Inc.
  • 12.5 Schneider Electric SE
  • 12.6 Honeywell International Inc.
  • 12.7 IBM Corporation
  • 12.8 Microsoft Corporation
  • 12.9 Amazon Web Services, Inc. (AWS)
  • 12.10 Google LLC (Google Cloud AI)
  • 12.11 NVIDIA Corporation
  • 12.12 Bosch Group
  • 12.13 Mitsubishi Electric Corporation
  • 12.14 Fanuc Corporation
  • 12.15 Yokogawa Electric Corporation

List of Tables

  • Table 1 Global AI in Manufacturing Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI in Manufacturing Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI in Manufacturing Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global AI in Manufacturing Market Outlook, By Sensors (2024-2032) ($MN)
  • Table 5 Global AI in Manufacturing Market Outlook, By Edge Devices (2024-2032) ($MN)
  • Table 6 Global AI in Manufacturing Market Outlook, By Industrial Robots (2024-2032) ($MN)
  • Table 7 Global AI in Manufacturing Market Outlook, By Software (2024-2032) ($MN)
  • Table 8 Global AI in Manufacturing Market Outlook, By AI Platforms (2024-2032) ($MN)
  • Table 9 Global AI in Manufacturing Market Outlook, By Analytics Engines (2024-2032) ($MN)
  • Table 10 Global AI in Manufacturing Market Outlook, By Vision & Control Systems (2024-2032) ($MN)
  • Table 11 Global AI in Manufacturing Market Outlook, By Services (2024-2032) ($MN)
  • Table 12 Global AI in Manufacturing Market Outlook, By Integration & Consulting (2024-2032) ($MN)
  • Table 13 Global AI in Manufacturing Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 14 Global AI in Manufacturing Market Outlook, By Training & Support (2024-2032) ($MN)
  • Table 15 Global AI in Manufacturing Market Outlook, By Function (2024-2032) ($MN)
  • Table 16 Global AI in Manufacturing Market Outlook, By Quality Control & Inspection (2024-2032) ($MN)
  • Table 17 Global AI in Manufacturing Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 18 Global AI in Manufacturing Market Outlook, By Production Planning & Scheduling (2024-2032) ($MN)
  • Table 19 Global AI in Manufacturing Market Outlook, By Supply Chain Optimization (2024-2032) ($MN)
  • Table 20 Global AI in Manufacturing Market Outlook, By Process Automation (2024-2032) ($MN)
  • Table 21 Global AI in Manufacturing Market Outlook, By Energy Management (2024-2032) ($MN)
  • Table 22 Global AI in Manufacturing Market Outlook, By Other Functions (2024-2032) ($MN)
  • Table 23 Global AI in Manufacturing Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 24 Global AI in Manufacturing Market Outlook, By On-Premise (2024-2032) ($MN)
  • Table 25 Global AI in Manufacturing Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 26 Global AI in Manufacturing Market Outlook, By Technology (2024-2032) ($MN)
  • Table 27 Global AI in Manufacturing Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 28 Global AI in Manufacturing Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 29 Global AI in Manufacturing Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 30 Global AI in Manufacturing Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 31 Global AI in Manufacturing Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 32 Global AI in Manufacturing Market Outlook, By Other Technologies (2024-2032) ($MN)
  • Table 33 Global AI in Manufacturing Market Outlook, By End User (2024-2032) ($MN)
  • Table 34 Global AI in Manufacturing Market Outlook, By Automotive (2024-2032) ($MN)
  • Table 35 Global AI in Manufacturing Market Outlook, By Aerospace & Defense (2024-2032) ($MN)
  • Table 36 Global AI in Manufacturing Market Outlook, By Electronics & Semiconductors (2024-2032) ($MN)
  • Table 37 Global AI in Manufacturing Market Outlook, By Pharmaceuticals & Chemicals (2024-2032) ($MN)
  • Table 38 Global AI in Manufacturing Market Outlook, By Food & Beverage (2024-2032) ($MN)
  • Table 39 Global AI in Manufacturing Market Outlook, By Metals & Mining (2024-2032) ($MN)
  • Table 40 Global AI in Manufacturing Market Outlook, By Other End Users (2024-2032) ($MN)

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