查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1935491

2026-2034年全球製造业人工智慧（AI）市场规模、份额、趋势和成长分析报告

Global Artificial Intelligence In Manufacturing Market Size, Share, Trends & Growth Analysis Report 2026-2034
出版日期: | 出版商: Value Market Research | 英文 162 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计製造业人工智慧（AI）市场将从 2025 年的 79.1 亿美元成长到 2034 年的 2,364.1 亿美元，2026 年至 2034 年的复合年增长率为 45.87%。

人工智慧 (AI) 在製造业的整合有望彻底改变营运效率和产品品质。随着智慧技术在工业领域的应用日益广泛，AI 驱动的解决方案正在增强预测性维护、优化供应链并促进即时数据分析。这种变革不仅降低了营运成本，还加快了生产週期，使製造商能够更快地回应市场需求。展望未来，更复杂的 AI 演算法、更高的自动化程度以及更强的大量资料集分析能力有望推动更明智的决策流程。

此外，工业4.0的到来正在加速人工智慧（AI）与物联网（IoT）的融合，建构互联互通的系统，从而提升生产力并推动创新。配备人工智慧功能的智慧工厂能够监控设备状态、预测故障并实现日常任务的自动化，显着减少停机时间。人工智慧与物联网的协同作用，打造了一个更敏捷的製造环境，能够以前所未有的速度和精度适应不断变化的消费者偏好和市场状况。因此，能够有效利用这些技术的企业将获得竞争优势，并在快速发展的市场中占据领先地位。

展望未来，由于对永续实践和提升营运韧性的需求，製造业对人工智慧的需求预计将大幅增长。随着製造商努力满足环境法规和消费者对永续性的期望，人工智慧将在优化资源利用和减少废弃物发挥关键作用。模拟生产流程并评估其环境影响的能力将使企业能够做出更永续的选择。因此，人工智慧在製造业的未来远不止于提高效率；它将促进创新和永续性，确保各行业在日益复杂的全球环境中持续蓬勃发展。

目录

第一章 引言

第二章执行摘要

第三章 市场变数、趋势与框架

  • 市场谱系展望
  • 绘製渗透率和成长前景图
  • 价值链分析
  • 法律规范
    • 标准与合规性
    • 监管影响分析
  • 市场动态
    • 市场驱动因素
    • 市场限制
    • 市场机会
    • 市场问题
  • 波特五力分析
  • PESTLE分析

4. 全球製造业人工智慧（AI）市场按产品/服务划分

  • 市场分析、洞察与预测
  • 硬体
  • 软体
  • 服务

5. 全球製造业人工智慧 (AI) 市场（按技术划分）

  • 市场分析、洞察与预测
  • 机器学习
  • 自然语言处理
  • 感知计算
  • 电脑视觉

6. 全球人工智慧（AI）市场在製造业的应用

  • 市场分析、洞察与预测
  • 预测性维护和机器检查
  • 库存最佳化
  • 生产计画
  • 现场服务
  • 品管
  • 网路安全
  • 工业机器人
  • 回收利用

7. 全球製造业人工智慧 (AI) 市场（按垂直产业划分）

  • 市场分析、洞察与预测
  • 车
  • 能源与电力
  • 金属和重型机械
  • 半导体和电子装置
  • 食品/饮料
  • 製药
  • 矿业
  • 其他的

8. 全球製造业人工智慧 (AI) 市场（按地区划分）

  • 区域分析
  • 北美市场分析、洞察与预测
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲市场分析、洞察与预测
    • 英国
    • 法国
    • 德国
    • 义大利
    • 俄罗斯
    • 其他欧洲国家
  • 亚太市场分析、洞察与预测
    • 印度
    • 日本
    • 韩国
    • 澳洲
    • 东南亚
    • 其他亚太国家
  • 拉丁美洲市场分析、洞察与预测
    • 巴西
    • 阿根廷
    • 秘鲁
    • 智利
    • 其他拉丁美洲国家
  • 中东和非洲市场分析、洞察与预测
    • 沙乌地阿拉伯
    • UAE
    • 以色列
    • 南非
    • 其他中东和非洲国家

第九章 竞争情势

  • 最新趋势
  • 公司分类
  • 供应链和销售管道合作伙伴（根据现有资讯）
  • 市场占有率和市场定位分析（基于现有资讯）
  • 供应商格局（基于现有资讯）
  • 策略规划

第十章：公司简介

  • 主要公司的市占率分析
  • 公司简介
    • AIBrain Inc
    • Amazon Web Services
    • Aquant Inc
    • Cisco Systems Inc
    • General Electric Company
    • General Vision Inc
    • Google LLC（Alphabet Inc.）
    • IBM Corporation
    • Intel Corporation
    • Micron Technology Inc
    • Microsoft Corporation
    • Mitsubishi Electric Corporation
    • NVIDIA Corporation
    • Oracle Corporation
    • Rockwell Automation Inc
简介目录
Product Code: VMR11210732

The Artificial Intelligence In Manufacturing Market size is expected to reach USD 236.41 Billion in 2034 from USD 7.91 Billion (2025) growing at a CAGR of 45.87% during 2026-2034.

The integration of artificial intelligence (AI) within the manufacturing sector is poised to revolutionize operational efficiencies and product quality. As industries increasingly adopt smart technologies, AI-driven solutions are enhancing predictive maintenance, optimizing supply chains, and facilitating real-time data analytics. This shift not only reduces operational costs but also accelerates production timelines, enabling manufacturers to respond swiftly to market demands. The future landscape will likely see AI algorithms becoming more sophisticated, allowing for greater automation and the ability to analyze vast datasets, thus driving informed decision-making processes.

Moreover, the advent of Industry 4.0 is catalyzing the convergence of AI with the Internet of Things (IoT), creating interconnected systems that enhance productivity and innovation. Smart factories equipped with AI capabilities can monitor equipment health, predict failures, and automate routine tasks, leading to a significant reduction in downtime. This synergy between AI and IoT will foster a more agile manufacturing environment, where companies can adapt to changes in consumer preferences and market conditions with unprecedented speed and accuracy. As a result, organizations that leverage these technologies will gain a competitive edge, positioning themselves as leaders in a rapidly evolving marketplace.

Looking ahead, the demand for AI in manufacturing is expected to surge, driven by the need for sustainable practices and enhanced operational resilience. As manufacturers strive to meet environmental regulations and consumer expectations for sustainability, AI will play a crucial role in optimizing resource utilization and minimizing waste. The ability to simulate production processes and assess their environmental impact will empower companies to make more sustainable choices. Consequently, the future of AI in manufacturing is not merely about efficiency; it is about fostering innovation and sustainability, ensuring that the industry can thrive in an increasingly complex global landscape.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Offering

  • Hardware
  • Software
  • Services

By Technology

  • Machine Learning
  • Natural Language Processing
  • Aware Computing
  • Computer Vision

By Application

  • Predictive Maintenance and Machinery Inspection
  • Inventory Optimization
  • Production Planning
  • Field Services
  • Quality Control
  • Cybersecurity
  • Industrial Robots
  • Reclamation
  • BY Industry
  • Automotive
  • Energy and Power
  • Metals and Heavy Machinery
  • Semiconductor & Electronics
  • Food & Beverage
  • Pharma
  • Mining
  • Others

COMPANIES PROFILED

  • AIBrain Inc, Amazon Web Services, Aquant Inc, Cisco Systems Inc, General Electric Company, General Vision Inc, Google LLC Alphabet Inc, IBM Corporation, Intel Corporation, Micron Technology Inc, Microsoft Corporation, Mitsubishi Electric Corporation, NVIDIA Corporation, Oracle Corporation, Rockwell Automation Inc

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

  • 1.1. Market Segmentation & Scope
  • 1.2. Market Definition
  • 1.3. Information Procurement
    • 1.3.1 Information Analysis
    • 1.3.2 Market Formulation & Data Visualization
    • 1.3.3 Data Validation & Publishing
  • 1.4. Research Scope and Assumptions
    • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

  • 2.1. Market Snapshot
  • 2.2. Segmental Outlook
  • 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

  • 3.1. Market Lineage Outlook
  • 3.2. Penetration & Growth Prospect Mapping
  • 3.3. Value Chain Analysis
  • 3.4. Regulatory Framework
    • 3.4.1 Standards & Compliance
    • 3.4.2 Regulatory Impact Analysis
  • 3.5. Market Dynamics
    • 3.5.1 Market Drivers
    • 3.5.2 Market Restraints
    • 3.5.3 Market Opportunities
    • 3.5.4 Market Challenges
  • 3.6. Porter's Five Forces Analysis
  • 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY OFFERING 2022-2034 (USD MN)

  • 4.1. Market Analysis, Insights and Forecast Offering
  • 4.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

  • 5.1. Market Analysis, Insights and Forecast Technology
  • 5.2. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.3. Natural Language Processing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.4. Aware Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 5.5. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY APPLICATION 2022-2034 (USD MN)

  • 6.1. Market Analysis, Insights and Forecast Application
  • 6.2. Predictive Maintenance and Machinery Inspection Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.3. Inventory Optimization Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.4. Production Planning Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.5. Field Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.6. Quality Control Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.7. Cybersecurity Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.8. Industrial Robots Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 6.9. Reclamation Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY INDUSTRY 2022-2034 (USD MN)

  • 7.1. Market Analysis, Insights and Forecast Industry
  • 7.2. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.3. Energy and Power Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.4. Metals and Heavy Machinery Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.5. Semiconductor & Electronics Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.6. Food & Beverage Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.7. Pharma Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.8. Mining Estimates and Forecasts By Regions 2022-2034 (USD MN)
  • 7.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING MARKET: BY REGION 2022-2034(USD MN)

  • 8.1. Regional Outlook
  • 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.2.1 By Offering
    • 8.2.2 By Technology
    • 8.2.3 By Application
    • 8.2.4 By Industry
    • 8.2.5 United States
    • 8.2.6 Canada
    • 8.2.7 Mexico
  • 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.3.1 By Offering
    • 8.3.2 By Technology
    • 8.3.3 By Application
    • 8.3.4 By Industry
    • 8.3.5 United Kingdom
    • 8.3.6 France
    • 8.3.7 Germany
    • 8.3.8 Italy
    • 8.3.9 Russia
    • 8.3.10 Rest Of Europe
  • 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.4.1 By Offering
    • 8.4.2 By Technology
    • 8.4.3 By Application
    • 8.4.4 By Industry
    • 8.4.5 India
    • 8.4.6 Japan
    • 8.4.7 South Korea
    • 8.4.8 Australia
    • 8.4.9 South East Asia
    • 8.4.10 Rest Of Asia Pacific
  • 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.5.1 By Offering
    • 8.5.2 By Technology
    • 8.5.3 By Application
    • 8.5.4 By Industry
    • 8.5.5 Brazil
    • 8.5.6 Argentina
    • 8.5.7 Peru
    • 8.5.8 Chile
    • 8.5.9 South East Asia
    • 8.5.10 Rest of Latin America
  • 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
    • 8.6.1 By Offering
    • 8.6.2 By Technology
    • 8.6.3 By Application
    • 8.6.4 By Industry
    • 8.6.5 Saudi Arabia
    • 8.6.6 UAE
    • 8.6.7 Israel
    • 8.6.8 South Africa
    • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

  • 9.1. Recent Developments
  • 9.2. Company Categorization
  • 9.3. Supply Chain & Channel Partners (based on availability)
  • 9.4. Market Share & Positioning Analysis (based on availability)
  • 9.5. Vendor Landscape (based on availability)
  • 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN MANUFACTURING INDUSTRY

  • 10.1. Top Companies Market Share Analysis
  • 10.2. Company Profiles
    • 10.2.1 AIBrain Inc
    • 10.2.2 Amazon Web Services
    • 10.2.3 Aquant Inc
    • 10.2.4 Cisco Systems Inc
    • 10.2.5 General Electric Company
    • 10.2.6 General Vision Inc
    • 10.2.7 Google LLC (Alphabet Inc.)
    • 10.2.8 IBM Corporation
    • 10.2.9 Intel Corporation
    • 10.2.10 Micron Technology Inc
    • 10.2.11 Microsoft Corporation
    • 10.2.12 Mitsubishi Electric Corporation
    • 10.2.13 NVIDIA Corporation
    • 10.2.14 Oracle Corporation
    • 10.2.15 Rockwell Automation Inc