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市場調查報告書

商品編碼

1696224

全球網路實體系統市場 - 2025 年至 2032 年

Global Cyber-Physical Systems Market - 2025-2032

出版日期: 2025年03月25日 | 出版商:

DataM Intelligence | 英文 180 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

2024 年全球資訊物理系統市場規模達到 1,374 億美元，預計到 2032 年將達到 4,059.1 億美元，2025-2032 年預測期內的複合年成長率為 14.50%。

網路物理系統趨勢

由於各行業數位和實體流程的日益融合，全球資訊物理系統 (CPS) 市場正在快速擴張。網路實體系統融合了運算、網路和實體過程，實現了數位領域和實體領域之間的即時互動。市場成長受到人工智慧 (AI)、物聯網 (IoT) 和工業自動化進步的推動。

CPS 中人工智慧和機器學習 (ML) 的採用正在透過實現預測性維護、即時監控和自動決策來改變產業。人工智慧驅動的 CPS 在製造業、醫療保健和運輸業中尤為突出，可提高營運效率並減少停機時間。

市場動態

促進因素：快速工業自動化與智慧製造

工業4.0和智慧製造的採用是CPS市場成長的重要驅動力。隨著工廠向自動化轉型，CPS在最佳化工作流程、減少人為干預和提高生產效率方面發揮著至關重要的作用。根據國際機器人聯合會的數據，2023年安裝的工業機器人數量為276,288台，佔全球安裝量的51％，凸顯了向自動化製造的轉變。

限制：實施成本高

阻礙 CPS 採用的主要挑戰之一是與部署和維護相關的高成本。開發和整合資訊物理系統需要在基礎設施、軟體和熟練的專業人員方面進行大量投資。根據最近的行業報告，CPS 實施成本從 50 萬美元到 500 萬美元不等，具體取決於專案的規模和複雜性。

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

Canada

Mexico

Europe

Germany

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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Value of DataM Reports: Our reports offer specialized insights tailored to the latest trends and specific business inquiries. This personalized approach provides a deeper, strategic perspective, ensuring you receive the precise information necessary to make informed decisions. These insights complement and go beyond what is typically available in generic databases.

Target Audience 2024

Manufacturers/ Buyers

Industry Investors/Investment Bankers

Research Professionals

Emerging Companies

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

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