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市場調查報告書
商品編碼
1858962

智慧工廠市場機會、成長促進因素、產業趨勢分析及預測(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個工作天內

價格
簡介目錄

2024年全球智慧工廠市場價值為1,415億美元,預計到2034年將以9.4%的複合年成長率成長至3,530億美元。

智慧工廠市場 - IMG1

工業物聯網 (IIoT)、互聯機械和即時監控系統的快速普及正在顯著影響製造業環境。這些進步推動了對具備預測分析、流程自動化和遠端診斷功能的智慧數位平台的需求。製造商正擴大利用人工智慧 (AI)、機器學習和數位孿生技術來減少停機時間、最佳化營運並提高效率。對智慧型設備無縫整合的需求日益成長,進一步加速了向模組化、安全工廠系統的轉變。標準化的資料模型和基於服務的系統架構簡化了整合並加快了部署速度,同時提高了系統互通性。業界透過資金、參考框架和技術工具包提供的支持,鼓勵製造商使用可擴展的智慧系統升級其設施。隨著企業專注於營運效率、永續性和降低維護成本,全球對智慧製造解決方案的需求持續激增。各產業對數位轉型策略的投資不斷增加,尤其著重於下一代自動化技術,進一步強化了這些趨勢。

市場範圍
起始年份 2024
預測年份 2025-2034
起始值 1415億美元
預測值 3530億美元
複合年成長率 9.4%

2024年,硬體領域創造了657億美元的收入。該領域的強勁成長歸功於物聯網賦能的機械、自動化工具和基於感測器的系統的廣泛部署,這些工具和系統有助於即時監控運作、實現預測性維護並簡化生產流程。製造商正在改進設備設計,注重緊湊性、長期耐用性和成本效益,同時整合人工智慧和互聯系統等高階技術。這使得工廠能夠在快速變化的工業環境中保持敏捷性和競爭力,同時提升性能。

就終端用戶而言,汽車產業在2024年創造了250億美元的收入。該產業的強勁成長源自於數位化製造系統、人工智慧驅動的品質保證工具、連網生產線和自動化平台的日益普及。這些技術正被應用於汽車產業的許多流程,包括零件組裝、預測性維護、物流追蹤和即時監控。汽車製造商正優先採用數位化工廠解決方案,以提高生產效率、最大限度地減少中斷並推動精益營運,從而鞏固了該行業在智慧技術應用方面的領先地位。

2024年,美國智慧工廠市場規模預計將達401億美元。美國在該市場中的地位得益於智慧工業平台的廣泛應用、對機器人和人工智慧日益成長的重視以及工業數位化進程的不斷推進。美國各地的企業正在嵌入預測性維護功能、即時分析和智慧管理工具,以提高能源效率、降低成本並實現永續發展目標。此外,鼓勵在多個行業廣泛整合智慧製造的國家級扶持政策也推動了市場成長。

全球智慧工廠市場的主要參與者包括艾默生電氣公司、思科、IBM、施耐德電氣、Atos、ABB有限公司、SAP、甲骨文、富士通有限公司、惠普企業有限公司、霍尼韋爾國際公司、通用電氣、庫卡、三菱電機、發那科、康耐視公司、江森自控公司和橫河電機株式會社。領先的智慧工廠市場參與者正透過創新、策略聯盟和數位化平台整合等多種方式鞏固其市場地位。各公司優先投資研發,以推出由人工智慧、邊緣運算和即時分析驅動的先進解決方案。策略併購和技術合作有助於企業拓展新地區和新領域,同時豐富產品組合。許多企業正在推出可擴展的模組化工廠解決方案,以滿足各種行業需求。基於雲端的工業平台正在開發中,旨在提供端到端的可視性和遠端管理功能。

目錄

第1章:方法論與範圍

第2章:執行概要

第3章:行業洞察

  • 產業生態系分析
    • 供應商格局
    • 利潤率
    • 成本結構
    • 每個階段的價值增加
    • 影響價值鏈的因素
    • 中斷
  • 產業影響因素
    • 成長促進因素
      • 工業物聯網與先進自動化技術的融合
      • 對即時數據分析和預測性維護的需求日益成長
      • 政府對工業4.0應用的措施和資金支持
      • 日益重視能源效率和永續製造
      • 數位孿生技術與智慧機器人部署
    • 產業陷阱與挑戰
      • 高昂的初始資本支出和整合複雜性
      • 網路安全與資料隱私風險
    • 市場機遇
  • 成長潛力分析
  • 監管環境
    • 北美洲
    • 歐洲
    • 亞太地區
    • 拉丁美洲
    • 中東和非洲
  • 波特的分析
  • PESTEL 分析
  • 技術與創新格局
    • 當前技術趨勢
    • 新興技術
  • 新興商業模式
  • 合規要求
  • 國防預算分析
  • 全球國防開支趨勢
  • 區域國防預算分配
    • 北美洲
    • 歐洲
    • 亞太地區
    • 中東和非洲
    • 拉丁美洲
  • 關鍵國防現代化項目
  • 預算預測(2025-2034 年)
    • 對產業成長的影響
    • 各國國防預算
  • 供應鏈韌性
  • 地緣政治分析
  • 勞動力分析
  • 數位轉型
  • 併購和策略夥伴關係格局
  • 風險評估與管理
  • 主要合約授予情況(2021-2024 年)

第4章:競爭格局

  • 介紹
  • 公司市佔率分析
    • 按地區
      • 北美洲
      • 歐洲
      • 亞太地區
      • 拉丁美洲
      • 中東和非洲
    • 市場集中度分析
  • 對主要參與者進行競爭基準分析
    • 財務績效比較
      • 收入
      • 利潤率
      • 研發
    • 產品組合比較
      • 產品範圍廣度
      • 科技
      • 創新
    • 地理位置比較
      • 全球足跡分析
      • 服務網路覆蓋
      • 按地區分類的市場滲透率
    • 競爭定位矩陣
      • 領導人
      • 挑戰者
      • 追蹤者
      • 小眾玩家
    • 戰略展望矩陣
  • 2021-2024 年主要發展動態
    • 併購
    • 夥伴關係與合作
    • 技術進步
    • 擴張和投資策略
    • 永續發展舉措
    • 數位轉型計劃
  • 新興/新創企業競爭對手格局

第5章:市場估算與預測:依組件分類,2021-2034年

  • 主要趨勢
  • 硬體
    • 感應器
    • 工業機器人
      • 關節機器人
      • 笛卡兒機器人
      • SCARA機器人
      • 圓柱形機器人
      • 協作機器人
    • 機器視覺
    • 通訊技術設備
    • 其他
  • 軟體
    • 人機介面(HMI)
    • 產品生命週期管理(PLM)
    • 監控控制器和資料採集系統(SCADA)
    • DCS
    • PLC
    • 企業資源計劃(ERP)
    • 其他
  • 服務

第6章:市場估算與預測:依最終用途分類,2021-2034年

  • 主要趨勢
  • 汽車
  • 航太與國防
  • 能源與電力
  • 餐飲
  • 衛生保健
  • 電氣與電子
  • 石油和天然氣
  • 其他

第7章:市場估計與預測:依地區分類,2021-2034年

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 西班牙
    • 義大利
    • 荷蘭
  • 亞太地區
    • 中國
    • 印度
    • 日本
    • 澳洲
    • 韓國
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 阿根廷
  • 中東和非洲
    • 沙烏地阿拉伯
    • 南非
    • 阿拉伯聯合大公國

第8章:公司簡介

  • 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
簡介目錄
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