封面
市场调查报告书
商品编码
1858962

智慧工厂市场机会、成长驱动因素、产业趋势分析及预测(2025-2034年)

Smart Factory Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 180 Pages | 商品交期: 2-3个工作天内

价格
简介目录

2024年全球智慧工厂市场价值为1,415亿美元,预计到2034年将以9.4%的复合年增长率成长至3,530亿美元。

智慧工厂市场 - IMG1

工业物联网 (IIoT)、互联机械和即时监控系统的快速普及正在显着影响製造业环境。这些进步推动了对具备预测分析、流程自动化和远端诊断功能的智慧数位平台的需求。製造商正越来越多地利用人工智慧 (AI)、机器学习和数位孪生技术来减少停机时间、优化营运并提高效率。对智慧型设备无缝整合的需求日益增长,进一步加速了向模组化、安全工厂系统的转变。标准化的资料模型和基于服务的系统架构简化了整合并加快了部署速度,同时提高了系统互通性。业界透过资金、参考框架和技术工具包提供的支持,鼓励製造商使用可扩展的智慧系统升级其设施。随着企业专注于营运效率、永续性和降低维护成本,全球对智慧製造解决方案的需求持续激增。各产业对数位转型策略的投资不断增加,尤其着重于下一代自动化技术,进一步强化了这些趋势。

市场范围
起始年份 2024
预测年份 2025-2034
起始值 1415亿美元
预测值 3530亿美元
复合年增长率 9.4%

2024年,硬体领域创造了657亿美元的收入。该领域的强劲成长归功于物联网赋能的机械、自动化工具和基于感测器的系统的广泛部署,这些工具和系统有助于即时监控运作、实现预测性维护并简化生产流程。製造商正在改进设备设计,注重紧凑性、长期耐用性和成本效益,同时整合人工智慧和互联繫统等高端技术。这使得工厂能够在快速变化的工业环境中保持敏捷性和竞争力,同时提升性能。

就终端用户而言,汽车产业在2024年创造了250亿美元的收入。该产业的强劲成长源自于数位化製造系统、人工智慧驱动的品质保证工具、连网生产线和自动化平台的日益普及。这些技术正被应用于汽车产业的许多流程,包括零件组装、预测性维护、物流追踪和即时监控。汽车製造商正优先采用数位化工厂解决方案,以提高生产效率、最大限度地减少中断并推动精益运营,从而巩固了该行业在智慧技术应用方面的领先地位。

2024年,美国智慧工厂市场规模预计将达401亿美元。美国在该市场中的地位得益于智慧工业平台的广泛应用、对机器人和人工智慧日益增长的重视以及工业数位化进程的不断推进。美国各地的企业正在嵌入预测性维护功能、即时分析和智慧管理工具,以提高能源效率、降低成本并实现永续发展目标。此外,鼓励在多个行业广泛整合智慧製造的国家级扶持政策也推动了市场成长。

全球智慧工厂市场的主要参与者包括艾默生电气公司、思科、IBM、施耐德电气、Atos、ABB有限公司、SAP、甲骨文、富士通有限公司、惠普企业有限公司、霍尼韦尔国际公司、通用电气、库卡、三菱电机、发那科、康耐视公司、江森自控公司和横河电机株式会社。领先的智慧工厂市场参与者正透过创新、策略联盟和数位化平台整合等多种方式巩固其市场地位。各公司优先投资研发,以推出由人工智慧、边缘运算和即时分析驱动的先进解决方案。策略併购和技术合作有助于企业拓展新地区和新领域,同时丰富产品组合。许多企业正在推出可扩展的模组化工厂解决方案,以满足各种行业需求。基于云端的工业平台正在开发中,旨在提供端到端的可视性和远端管理功能。

目录

第一章:方法论与范围

第二章:执行概要

第三章:行业洞察

  • 产业生态系分析
    • 供应商格局
    • 利润率
    • 成本结构
    • 每个阶段的价值增加
    • 影响价值链的因素
    • 中断
  • 产业影响因素
    • 成长驱动因素
      • 工业物联网与先进自动化技术的融合
      • 对即时数据分析和预测性维护的需求日益增长
      • 政府对工业4.0应用的措施和资金支持
      • 日益重视能源效率和永续製造
      • 数位孪生技术与智慧机器人部署
    • 产业陷阱与挑战
      • 高昂的初始资本支出和整合复杂性
      • 网路安全与资料隐私风险
    • 市场机会
  • 成长潜力分析
  • 监管环境
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲
  • 波特的分析
  • PESTEL 分析
  • 技术与创新格局
    • 当前技术趋势
    • 新兴技术
  • 新兴商业模式
  • 合规要求
  • 国防预算分析
  • 全球国防开支趋势
  • 区域国防预算分配
    • 北美洲
    • 欧洲
    • 亚太地区
    • 中东和非洲
    • 拉丁美洲
  • 关键国防现代化项目
  • 预算预测(2025-2034 年)
    • 对产业成长的影响
    • 各国国防预算
  • 供应链韧性
  • 地缘政治分析
  • 劳动力分析
  • 数位转型
  • 併购和策略伙伴关係格局
  • 风险评估与管理
  • 主要合约授予情况(2021-2024 年)

第四章:竞争格局

  • 介绍
  • 公司市占率分析
    • 按地区
      • 北美洲
      • 欧洲
      • 亚太地区
      • 拉丁美洲
      • 中东和非洲
    • 市场集中度分析
  • 对主要参与者进行竞争基准分析
    • 财务绩效比较
      • 收入
      • 利润率
      • 研发
    • 产品组合比较
      • 产品范围广度
      • 科技
      • 创新
    • 地理位置比较
      • 全球足迹分析
      • 服务网路覆盖
      • 按地区分類的市场渗透率
    • 竞争定位矩阵
      • 领导人
      • 挑战者
      • 追踪者
      • 小众玩家
    • 战略展望矩阵
  • 2021-2024 年主要发展动态
    • 併购
    • 伙伴关係与合作
    • 技术进步
    • 扩张和投资策略
    • 永续发展倡议
    • 数位转型计划
  • 新兴/新创企业竞争对手格局

第五章:市场估算与预测:依组件划分,2021-2034年

  • 主要趋势
  • 硬体
    • 感应器
    • 工业机器人
      • 关节机器人
      • 笛卡儿机器人
      • SCARA机器人
      • 圆柱形机器人
      • 协作机器人
    • 机器视觉
    • 通讯技术设备
    • 其他的
  • 软体
    • 人机介面(HMI)
    • 产品生命週期管理(PLM)
    • 监控控制器和资料采集系统(SCADA)
    • DCS
    • PLC
    • 企业资源计划(ERP)
    • 其他的
  • 服务

第六章:市场估算与预测:依最终用途划分,2021-2034年

  • 主要趋势
  • 汽车
  • 航太与国防
  • 能源与电力
  • 餐饮
  • 卫生保健
  • 电气与电子
  • 石油和天然气
  • 其他的

第七章:市场估计与预测:依地区划分,2021-2034年

  • 主要趋势
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 西班牙
    • 义大利
    • 荷兰
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 韩国
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中东和非洲
    • 沙乌地阿拉伯
    • 南非
    • 阿联酋

第八章:公司简介

  • ABB Ltd
  • Atos
  • Cisco
  • Cognex Corporation
  • Emerson Electric Co.
  • FANUC
  • Fujitsu Ltd.
  • General Electric
  • Honeywell International
  • Hewlett Packard Enterprise Limited
  • IBM
  • Johnson Controls Inc.
  • KUKA
  • Mitsubishi Electric
  • Oracle
  • SAP
  • Schneider Electric SE
  • Yokogawa Electric Corporation
简介目录
Product Code: 1436

The Global Smart Factory Market was valued at USD 141.5 billion in 2024 and is estimated to grow at a CAGR of 9.4% to reach USD 353 billion by 2034.

Smart Factory Market - IMG1

Rapid adoption of the Industrial Internet of Things (IIoT), connected machinery, and real-time monitoring systems is significantly influencing manufacturing environments. These advancements are driving demand for intelligent digital platforms capable of predictive analytics, process automation, and remote diagnostics. Manufacturers are increasingly leveraging AI, machine learning, and digital twin technologies to reduce downtime, optimize operations, and boost efficiency. The rising need for seamless integration of intelligent equipment has further accelerated the shift toward modular, secure factory systems. Standardized data models and service-based system architectures simplify integration and accelerate deployment while improving system interoperability. Industry support through funding, reference frameworks, and technical toolkits is encouraging manufacturers to upgrade their facilities with scalable and intelligent systems. With companies focusing on operational efficiency, sustainability, and reduced maintenance costs, demand for smart manufacturing solutions continues to surge globally. These trends are further enhanced by increased investments in digital transformation strategies across various sectors, with an emphasis on next-gen automation technologies.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$141.5 Billion
Forecast Value$353 Billion
CAGR9.4%

The hardware segment generated USD 65.7 billion in 2024. Strong growth in this segment is attributed to widespread deployment of IoT-enabled machinery, automation tools, and sensor-based systems that help monitor operations in real time, enable predictive maintenance, and streamline production. Manufacturers are refining equipment design to focus on compactness, long-term durability, and cost-effectiveness while integrating high-end technologies such as artificial intelligence and connected systems. This enables facilities to enhance performance while remaining agile and competitive in a rapidly evolving industrial landscape.

In terms of end-use, the automotive segment generated USD 25 billion in 2024. The segment's strength stems from the growing use of digital manufacturing systems, AI-driven quality assurance tools, connected production lines, and automation platforms. These technologies are being applied to a wide range of automotive processes, including component assembly, predictive maintenance, logistics tracking, and real-time monitoring. Automakers are prioritizing digital factory solutions to improve productivity, minimize disruptions, and drive lean operations, reinforcing the sector's leadership in adopting smart technologies.

United States Smart Factory Market generated USD 40.1 billion in 2024. The country's position in the market is supported by widespread adoption of intelligent industrial platforms, increased focus on robotics and AI, and expanding industrial digitization. Companies across the U.S. are embedding predictive maintenance features, real-time analytics, and smart management tools to improve energy efficiency, reduce costs, and meet sustainability targets. Growth is also driven by supportive national initiatives encouraging widespread smart manufacturing integration across multiple industries.

Prominent players in the Global Smart Factory Market include Emerson Electric Co., Cisco, IBM, Schneider Electric SE, Atos, ABB Ltd, SAP, Oracle, Fujitsu Ltd., Hewlett Packard Enterprise Limited, Honeywell International, General Electric, KUKA, Mitsubishi Electric, FANUC, Cognex Corporation, Johnson Controls Inc., and Yokogawa Electric Corporation. Leading Smart Factory Market players are adopting a mix of innovation, strategic alliances, and digital platform integration to solidify their market position. Firms are prioritizing R&D investments to introduce advanced solutions powered by AI, edge computing, and real-time analytics. Strategic mergers and technology partnerships enable expansion into new regions and verticals while enhancing product portfolios. Many players are rolling out scalable and modular factory solutions tailored to various industrial needs. Cloud-based industrial platforms are being developed to offer end-to-end visibility and remote management.

Table of Contents

Chapter 1 Methodology and scope

  • 1.1 Market scope and definition
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Data mining sources
    • 1.3.1 Global
    • 1.3.2 Regional/Country
  • 1.4 Base estimates and calculations
    • 1.4.1 Base year calculation
    • 1.4.2 Key trends for market estimation
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
  • 1.6 Forecast model
  • 1.7 Research assumptions and limitations

Chapter 2 Executive Summary

  • 2.1 Industry snapshot
  • 2.2 Key market trends
    • 2.2.1 Business trends
    • 2.2.2 Component trends
    • 2.2.3 Technology trends
    • 2.2.4 Application trends
    • 2.2.5 Regional
  • 2.3 TAM Analysis, 2025-2034 (USD Billion)
  • 2.4 CXO perspectives: Strategic imperatives
    • 2.4.1 Executive decision points
    • 2.4.2 critical success factors
  • 2.5 Future outlook and strategic recommendations

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
    • 3.1.1 Supplier Landscape
    • 3.1.2 Profit Margin
    • 3.1.3 Cost structure
    • 3.1.4 Value addition at each stage
    • 3.1.5 Factor affecting the value chain
    • 3.1.6 Disruptions
  • 3.2 Industry impact forces
    • 3.2.1 Growth drivers
      • 3.2.1.1 Integration of Industrial IoT and Advanced Automation
      • 3.2.1.2 Rising Demand for Real-time Data Analytics and Predictive Maintenance
      • 3.2.1.3 Government Initiatives and Funding for Industry 4.0 Adoption
      • 3.2.1.4 Increasing Focus on Energy Efficiency and Sustainable Manufacturing
      • 3.2.1.5 Digital Twin Technology and Smart Robotics Deployment
    • 3.2.2 Industry pitfalls and challenges
      • 3.2.2.1 High Initial Capital Expenditure and Integration Complexity
      • 3.2.2.2 Cybersecurity and Data Privacy Risks
    • 3.2.3 Market opportunities
  • 3.3 Growth potential analysis
  • 3.4 Regulatory landscape
    • 3.4.1 North America
    • 3.4.2 Europe
    • 3.4.3 Asia Pacific
    • 3.4.4 Latin America
    • 3.4.5 Middle East & Africa
  • 3.5 Porter's analysis
  • 3.6 PESTEL analysis
  • 3.7 Technology and innovation landscape
    • 3.7.1 Current technological trends
    • 3.7.2 Emerging technologies
  • 3.8 Emerging business models
  • 3.9 Compliance requirements
  • 3.10 Defense budget analysis
  • 3.11 Global defense spending trends
  • 3.12 Regional defense budget allocation
    • 3.12.1 North America
    • 3.12.2 Europe
    • 3.12.3 Asia Pacific
    • 3.12.4 Middle East and Africa
    • 3.12.5 Latin America
  • 3.13 Key defense modernization programs
  • 3.14 Budget forecast (2025-2034)
    • 3.14.1 Impact on Industry Growth
    • 3.14.2 Defense Budgets by Country
  • 3.15 Supply chain resilience
  • 3.16 Geopolitical analysis
  • 3.17 Workforce analysis
  • 3.18 Digital transformation
  • 3.19 Mergers, acquisitions, and strategic partnerships landscape
  • 3.20 Risk assessment and management
  • 3.21 Major contract awards (2021-2024)

Chapter 4 Competitive Landscape, 2024

  • 4.1 Introduction
  • 4.2 Company market share analysis
    • 4.2.1 By region
      • 4.2.1.1 North America
      • 4.2.1.2 Europe
      • 4.2.1.3 Asia Pacific
      • 4.2.1.4 Latin America
      • 4.2.1.5 Middle East & Africa
    • 4.2.2 Market Concentration Analysis
  • 4.3 Competitive benchmarking of key players
    • 4.3.1 Financial performance comparison
      • 4.3.1.1 Revenue
      • 4.3.1.2 Profit margin
      • 4.3.1.3 R&D
    • 4.3.2 Product portfolio comparison
      • 4.3.2.1 Product range breadth
      • 4.3.2.2 Technology
      • 4.3.2.3 Innovation
    • 4.3.3 Geographic presence comparison
      • 4.3.3.1 Global footprint analysis
      • 4.3.3.2 Service network coverage
      • 4.3.3.3 Market penetration by region
    • 4.3.4 Competitive positioning matrix
      • 4.3.4.1 Leaders
      • 4.3.4.2 Challengers
      • 4.3.4.3 Followers
      • 4.3.4.4 Niche players
    • 4.3.5 Strategic outlook matrix
  • 4.4 Key developments, 2021-2024
    • 4.4.1 Mergers and acquisitions
    • 4.4.2 Partnerships and collaborations
    • 4.4.3 Technological advancements
    • 4.4.4 Expansion and investment strategies
    • 4.4.5 Sustainability initiatives
    • 4.4.6 Digital transformation initiatives
  • 4.5 Emerging/ startup competitors landscape

Chapter 5 Market estimates and forecast, by Component, 2021 - 2034 (USD Billion)

  • 5.1 Key trends
  • 5.2 Hardware
    • 5.2.1 Sensor
    • 5.2.2 Industrial robot
      • 5.2.2.1 Articulated robots
      • 5.2.2.2 Cartesian robots
      • 5.2.2.3 SCARA robots
      • 5.2.2.4 Cylindrical robots
      • 5.2.2.5 Collaborative robots
    • 5.2.3 Machine vision
    • 5.2.4 Communication Technology Devices
    • 5.2.5 Others
  • 5.3 Software
    • 5.3.1 Human Machine Interface (HMI)
    • 5.3.2 Product Lifecycle Management (PLM)
    • 5.3.3 Supervisory Controller and Data Acquisition (SCADA)
    • 5.3.4 DCS
    • 5.3.5 PLC
    • 5.3.6 ERP
    • 5.3.7 Others
  • 5.4 Service

Chapter 6 Market estimates and forecast, by End Use, 2021 - 2034 (USD Billion)

  • 6.1 Key trends
  • 6.2 Automotive
  • 6.3 Aerospace & defense
  • 6.4 Energy & Power
  • 6.5 Food & beverage
  • 6.6 Healthcare
  • 6.7 Electrical & Electronics
  • 6.8 Oil & Gas
  • 6.9 Others

Chapter 7 Market estimates and forecast, by Region, 2021 - 2034 (USD Billion)

  • 7.1 Key trends
  • 7.2 North America
    • 7.2.1 U.S.
    • 7.2.2 Canada
  • 7.3 Europe
    • 7.3.1 Germany
    • 7.3.2 UK
    • 7.3.3 France
    • 7.3.4 Spain
    • 7.3.5 Italy
    • 7.3.6 Netherlands
  • 7.4 Asia Pacific
    • 7.4.1 China
    • 7.4.2 India
    • 7.4.3 Japan
    • 7.4.4 Australia
    • 7.4.5 South Korea
  • 7.5 Latin America
    • 7.5.1 Brazil
    • 7.5.2 Mexico
    • 7.5.3 Argentina
  • 7.6 Middle East and Africa
    • 7.6.1 Saudi Arabia
    • 7.6.2 South Africa
    • 7.6.3 UAE

Chapter 8 Company profiles

  • 8.1 ABB Ltd
  • 8.2 Atos
  • 8.3 Cisco
  • 8.4 Cognex Corporation
  • 8.5 Emerson Electric Co.
  • 8.6 FANUC
  • 8.7 Fujitsu Ltd.
  • 8.8 General Electric
  • 8.9 Honeywell International
  • 8.10 Hewlett Packard Enterprise Limited
  • 8.11 IBM
  • 8.12 Johnson Controls Inc.
  • 8.13 KUKA
  • 8.14 Mitsubishi Electric
  • 8.15 Oracle
  • 8.16 SAP
  • 8.17 Schneider Electric SE
  • 8.18 Yokogawa Electric Corporation