封面
市场调查报告书
商品编码
1696224

全球网路实体系统市场 - 2025 年至 2032 年

Global Cyber-Physical Systems Market - 2025-2032

出版日期: | 出版商: DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2个工作天内

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简介目录

2024 年全球资讯物理系统市场规模达到 1,374 亿美元,预计到 2032 年将达到 4,059.1 亿美元,2025-2032 年预测期内的复合年增长率为 14.50%。

网路物理系统趋势

由于各行业数位和实体流程的日益融合,全球资讯物理系统 (CPS) 市场正在快速扩张。网路实体系统融合了运算、网路和实体过程,实现了数位领域和实体领域之间的即时互动。市场成长受到人工智慧 (AI)、物联网 (IoT) 和工业自动化进步的推动。

CPS 中人工智慧和机器学习 (ML) 的采用正在透过实现预测性维护、即时监控和自动决策来改变产业。人工智慧驱动的 CPS 在製造业、医疗保健和运输业中尤为突出,可提高营运效率并减少停机时间。

市场动态

驱动因素:快速工业自动化与智慧製造

工业4.0和智慧製造的采用是CPS市场成长的重要驱动力。随着工厂向自动化转型,CPS在优化工作流程、减少人为干预和提高生产效率方面发挥着至关重要的作用。根据国际机器人联合会的数据,2023年安装的工业机器人数量为276,288台,占全球安装量的51%,凸显了向自动化製造的转变。

限制:实施成本高

阻碍 CPS 采用的主要挑战之一是与部署和维护相关的高成本。开发和整合资讯物理系统需要在基础设施、软体和熟练的专业人员方面进行大量投资。根据最近的行业报告,CPS 实施成本从 50 万美元到 500 万美元不等,具体取决于专案的规模和复杂性。

目录

第 1 章:方法与范围

第 2 章:定义与概述

第 3 章:执行摘要

第 4 章:动态

  • 影响因素
    • 驱动程式
      • 数位孪生技术的应用不断增加
    • 限制
      • 实施成本高
    • 机会
    • 影响分析

第五章:产业分析

  • 需求预测的预测分析前景
  • 供应链分析
  • 价值链分析
  • 定价分析
  • 监理与合规性分析
  • 智慧电网趋势中的机器人技术应用
  • 研发与创新分析
  • 永续性与绿色技术分析
  • 网路安全分析
  • 下一代技术分析
  • 技术路线图
  • DMI 意见

第 6 章:按组件

  • 硬体
    • 感应器
    • 执行器
    • 计算节点
    • 其他的
  • 软体
  • 服务

第 7 章:按系统

  • 网路系统
    • 边缘运算
    • 数据处理与分析
    • 联网
    • 安全
  • 物理系统
    • 感应器
    • 执行器
    • 数位和类比设备
    • 能源
    • 通讯介面
    • 资料储存设备

第 8 章:按类型

  • 开环
  • 闭环

第 9 章:按垂直

  • 卫生保健
  • 製造业
  • 汽车
  • 农业
  • 能源和公用事业
  • 航太和国防
  • 其他的

第 10 章:按地区

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 欧洲其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 南美洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 澳洲
    • 亚太其他地区
  • 中东和非洲

第 11 章:竞争格局

  • 竞争格局
  • 市场定位/份额分析
  • 併购分析

第 12 章:公司简介

  • ABB
    • 公司概况
    • 产品组合和描述
    • 财务概览
    • 关键进展
  • Siemens AG
  • General Electric
  • Rockwell Automation
  • Honeywell International
  • Bosch Rexroth
  • Schneider Electric
  • Mitsubishi Electric
  • Intel Corporation
  • Cisco Systems

第 13 章:附录

简介目录
Product Code: ICT1868

Global cyber-physical systems market reached US$137.40 billion in 2024 and is expected to reach US$405.91 billion by 2032, growing with a CAGR of 14.50% during the forecast period 2025-2032.

Cyber-Physical Systems Trends

The global cyber-physical systems (CPS) market is experiencing rapid expansion due to the increasing integration of digital and physical processes across industries. Cyber-physical systems merge computation, networking, and physical processes, enabling real-time interaction between digital and physical domains. The market growth is driven by advancements in artificial intelligence (AI), the Internet of Things (IoT), and industrial automation.

The adoption of AI and machine learning (ML) in CPS is transforming industries by enabling predictive maintenance, real-time monitoring, and automated decision-making. AI-driven CPS is particularly prominent in manufacturing, healthcare, and transportation, improving operational efficiency and reducing downtime.

Market Dynamics

Driver: Rapid Industrial Automation and Smart Manufacturing

The adoption of Industry 4.0 and smart manufacturing is a significant driver of CPS market growth. As factories transition toward automation, CPS plays a crucial role in optimizing workflows, reducing human intervention, and improving production efficiency. According to the International Federation of Robotics, the 276,288 industrial robots installed in 2023 represent 51% of the global installations, highlighting the shift towards automated manufacturing.

Restraint: High Implementation Costs

One of the major challenges hindering CPS adoption is the high cost associated with deployment and maintenance. Developing and integrating cyber-physical systems require significant investment in infrastructure, software, and skilled professionals. According to a recent industry report, CPS implementation costs can range from USD 500,000 to USD 5 million, depending on the scale and complexity of the project.

Segment Analysis

The global cyber-physical systems market is segmented based on component, system, type, vertical and region.

CPS in Manufacturing is Revolutionizing Production Processes.

Manufacturers are leveraging CPS to enable predictive maintenance, reducing downtime and maintenance costs. Predictive maintenance powered by CPS can reduce machine downtime by up to 50% and lower maintenance costs. Additionally, CPS-driven smart factories are increasing productivity and minimizing human errors.

The implementation of digital twins is further enhancing manufacturing efficiency. By creating virtual replicas of physical systems, manufacturers can simulate and optimize operations before execution. According to Siemens, digital twin adoption in manufacturing has resulted in a 25% reduction in product development time.

The adoption of CPS in the automotive sector is particularly noteworthy. Companies like Tesla and General Motors are integrating CPS for automated quality control, supply chain management, and robotic assembly lines, driving innovation and efficiency in vehicle production.

Geographical Penetration

Availability of Advanced Technological Infrastructure in North America.

North America dominates the global CPS market, contributing to approximately 38% of the total revenue in 2023. The region's leadership is driven by advanced technological infrastructure, strong government initiatives, and widespread adoption of automation across industries. The US plays a crucial role in CPS development, with leading tech firms and research institutions investing heavily in AI, IoT, and cybersecurity solutions. According to the National Science Foundation, US federal funding for CPS-related research reached a significant figure in 2023, reflecting the growing emphasis on innovation.

The region's strong manufacturing base is another contributing factor. Major industries, including automotive, aerospace, and healthcare, are deploying CPS to enhance operational efficiency. For example, Boeing has integrated CPS in aircraft production, enabling real-time monitoring of manufacturing processes and improving quality control. Cybersecurity concerns are also being addressed in North America, with regulatory bodies implementing stringent security standards for CPS applications. According to the US Bureau of Labor Statistics, the American cybersecurity workforce will grow by 32% by 2032, emphasizing the importance of securing critical infrastructure.

Technology Roadmap

The global cyber-physical systems market is expected to evolve significantly over the coming years, driven by advancements in network infrastructure, the expansion of IoT, and the increasing adoption of artificial intelligence (AI) in logistics. Government initiatives, regulatory frameworks, and private sector investments are set to accelerate AI adoption in cybersecurity across multiple industries.

Competitive Landscape

The major Global players in the market include ABB, Siemens AG, General Electric, Rockwell Automation, Honeywell International, Bosch Rexroth, Schneider Electric, Mitsubishi Electric, Intel Corporation, and Cisco Systems.

Segmentations Covered

By Component

Hardware

Sensors

Actuators

Computational Nodes

Others

Software

Services

By System

Cyber Systems

Edge Computing

Data Processing & Analytics

Networking

Security

Physical Systems

Sensors

Actuators

Digital & Analog Devices

Energy Sources

Communication Interface

Data Storage Devices

By Type

Open-Loop

Closed-Loop

By Vertical

Healthcare

Manufacturing

Automotive

Agriculture

Energy and Utilities

Aerospace and Defense

Others

By Region

North America

US

Canada

Mexico

Europe

Germany

UK

France

Italy

Spain

Rest of Europe

South America

Brazil

Argentina

Rest of South America

Asia-Pacific

China

India

Japan

Australia

Rest of Asia-Pacific

Middle East and Africa

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Target Audience 2024

Manufacturers/ Buyers

Industry Investors/Investment Bankers

Research Professionals

Emerging Companies

Table of Contents

1. Methodology and Scope

  • 1.1. Research Methodology
  • 1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

  • 3.1. Snippet by Component
  • 3.2. Snippet by System
  • 3.3. Snippet by Type
  • 3.4. Snippet by Vertical
  • 3.5. Snippet by Region

4. Dynamics

  • 4.1. Impacting Factors
    • 4.1.1. Drivers
      • 4.1.1.1. Rising Deployment of Digital Twin Technology
    • 4.1.2. Restraints
      • 4.1.2.1. High Implementation Costs
    • 4.1.3. Opportunity
    • 4.1.4. Impact Analysis

5. Industry Analysis

  • 5.1. Predictive Analysis Outlook for Demand Forecasting
  • 5.2. Supply Chain Analysis
  • 5.3. Value Chain Analysis
  • 5.4. Pricing Analysis
  • 5.5. Regulatory and Compliance Analysis
  • 5.6. Robotics Implementation in Smart Grid Trends
  • 5.7. R&D and Innovation Analysis
  • 5.8. Sustainability & Green Technology Analysis
  • 5.9. Cybersecurity Analysis
  • 5.10. Next Generation Technology Analysis
  • 5.11. Technology Roadmap
  • 5.12. DMI Opinion

6. By Component

  • 6.1. Introduction
    • 6.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 6.1.2. Market Attractiveness Index, By Component
  • 6.2. Hardware*
    • 6.2.1. Introduction
    • 6.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
      • 6.2.2.1. Sensors
      • 6.2.2.2. Actuators
      • 6.2.2.3. Computational Nodes
      • 6.2.2.4. Others
  • 6.3. Software
  • 6.4. Services

7. By System

  • 7.1. Introduction
    • 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By System
    • 7.1.2. Market Attractiveness Index, By System
  • 7.2. Cyber Systems*
    • 7.2.1. Introduction
    • 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
      • 7.2.2.1. Edge Computing
      • 7.2.2.2. Data Processing & Analytics
      • 7.2.2.3. Networking
      • 7.2.2.4. Security
  • 7.3. Physical Systems
      • 7.3.1.1. Sensors
      • 7.3.1.2. Actuators
      • 7.3.1.3. Digital & Analog Devices
      • 7.3.1.4. Energy Sources
      • 7.3.1.5. Communication Interface
      • 7.3.1.6. Data Storage Devices

8. By Type

  • 8.1. Introduction
    • 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 8.1.2. Market Attractiveness Index, By Type
  • 8.2. Open-Loop*
    • 8.2.1. Introduction
    • 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 8.3. Closed-Loop

9. By Vertical

  • 9.1. Introduction
    • 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vertical
    • 9.1.2. Market Attractiveness Index, By Vertical
  • 9.2. Healthcare*
    • 9.2.1. Introduction
    • 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
  • 9.3. Manufacturing
  • 9.4. Automotive
  • 9.5. Agriculture
  • 9.6. Energy and Utilities
  • 9.7. Aerospace and Defense
  • 9.8. Others

10. By Region

  • 10.1. Introduction
    • 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
    • 10.1.2. Market Attractiveness Index, By Region
  • 10.2. North America
    • 10.2.1. Introduction
    • 10.2.2. Key Region-Specific Dynamics
    • 10.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By System
    • 10.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vertical
    • 10.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.2.7.1. US
      • 10.2.7.2. Canada
      • 10.2.7.3. Mexico
  • 10.3. Europe
    • 10.3.1. Introduction
    • 10.3.2. Key Region-Specific Dynamics
    • 10.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By System
    • 10.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vertical
    • 10.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.3.7.1. Germany
      • 10.3.7.2. UK
      • 10.3.7.3. France
      • 10.3.7.4. Italy
      • 10.3.7.5. Spain
      • 10.3.7.6. Rest of Europe
  • 10.4. South America
    • 10.4.1. Introduction
    • 10.4.2. Key Region-Specific Dynamics
    • 10.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By System
    • 10.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vertical
    • 10.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.4.7.1. Brazil
      • 10.4.7.2. Argentina
      • 10.4.7.3. Rest of South America
  • 10.5. Asia-Pacific
    • 10.5.1. Introduction
    • 10.5.2. Key Region-Specific Dynamics
    • 10.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By System
    • 10.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vertical
    • 10.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
      • 10.5.7.1. China
      • 10.5.7.2. India
      • 10.5.7.3. Japan
      • 10.5.7.4. Australia
      • 10.5.7.5. Rest of Asia-Pacific
  • 10.6. Middle East and Africa
    • 10.6.1. Introduction
    • 10.6.2. Key Region-Specific Dynamics
    • 10.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
    • 10.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By System
    • 10.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Type
    • 10.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Vertical

11. Competitive Landscape

  • 11.1. Competitive Scenario
  • 11.2. Market Positioning/Share Analysis
  • 11.3. Mergers and Acquisitions Analysis

12. Company Profiles

  • 12.1. ABB*
    • 12.1.1. Company Overview
    • 12.1.2. Product Portfolio and Description
    • 12.1.3. Financial Overview
    • 12.1.4. Key Developments
  • 12.2. Siemens AG
  • 12.3. General Electric
  • 12.4. Rockwell Automation
  • 12.5. Honeywell International
  • 12.6. Bosch Rexroth
  • 12.7. Schneider Electric
  • 12.8. Mitsubishi Electric
  • 12.9. Intel Corporation
  • 12.10. Cisco Systems

LIST NOT EXHAUSTIVE

13. Appendix

  • 13.1. About Us and Services
  • 13.2. Contact Us