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市場調查報告書

商品編碼

1773254

霧運算市場機會、成長動力、產業趨勢分析及 2025 - 2034 年預測

Fog Computing Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: 2025年06月23日 | 出版商:

Global Market Insights Inc. | 英文 170 Pages | 商品交期: 2-3個工作天內

價格

簡介目錄

2024年，全球霧運算市場規模達3.468億美元，預計到2034年將以16.2%的複合年成長率成長，達到12億美元。電信、製造、智慧基礎設施和醫療保健等行業對低延遲通訊、去中心化處理和即時分析的需求不斷成長，推動了霧運算市場的快速擴張。隨著企業持續向數位轉型邁進，對靠近源頭的高效能資料處理的需求也日益成長。霧運算發揮著至關重要的作用，它能夠加快資料處理速度，減輕頻寬壓力，並透過本地運算資源增強決策能力。互聯設備數量的不斷成長以及對智慧化、可擴展解決方案的需求，使得霧運算成為現代邊緣雲端架構的核心組成部分。

霧運算支援本地儲存、分析和操作，透過縮短資料傳輸距離，使其區別於傳統的雲端模型。隨著越來越多的組織部署邊緣系統，對能夠在現場無延遲處理資料的靈活即時平台的需求正在加速成長。依賴時間敏感資料的行業，尤其是在隱私和速度至關重要的行業，正在迅速轉向霧運算，將其作為可靠且安全的基礎設施解決方案，連接本地營運和更廣泛的雲端系統。

市場範圍
起始年份	2024
預測年份	2025-2034
起始值	3.468億美元
預測值	12億美元
複合年成長率	16.2%

私有霧節點部署佔42%的市場佔有率，預計到2034年將以17.2%的複合年成長率成長。這些本地化節點使企業能夠更直接地控制基礎設施，並提供量身定做的效能、安全性和合規性解決方案。管理關鍵營運或敏感資料的企業（包括醫療保健、國防和能源產業）繼續青睞私有節點，因為它們能夠獨立、安全地處理機密工作負載，同時確保資料治理並降低延遲。

2024年，軟體領域佔了69%的佔有率。隨著業界從一項小眾技術發展成為邊緣智慧的關鍵驅動力，強大的霧運算軟體變得至關重要。企業越來越依賴編排工具、分析平台和虛擬化技術，這些技術能夠跨複雜的邊緣生態系統實現無縫管理和部署。這些平台支援跨分散式基礎架構的一致性能，從而簡化了依賴邊緣環境快速、準確洞察的企業的營運。

美國霧運算市場佔67%的市場佔有率，2024年市場規模達1.142億美元。強大的數位基礎設施、快速發展的創新生態系統以及日益成長的企業在地化處理需求，使美國成為該領域的領導者。霧運算如今已成為即時資料至關重要的產業營運策略中不可或缺的一部分，透過提升效率和增強即時回應能力，為企業帶來競爭優勢。

霧運算市場的主要公司包括施耐德、ARM Holdings、FogHorn、思科、英特爾、富士通、通用電氣、微軟、IBM 和戴爾。霧運算領域的公司正在利用關鍵策略來鞏固其市場地位。與邊緣設備製造商和雲端服務供應商的策略合作正在幫助供應商擴大其覆蓋範圍，並實現跨平台的無縫整合。

企業正在大力投資研發，以開發適用於分散式環境的先進編排軟體、安全協議和人工智慧自動化。針對特定行業用例（尤其是在能源、醫療保健和製造業）的霧氣解決方案客製化也日益興起。許多企業正在向混合雲端-霧模型轉型，以滿足日益成長的性能和合規性需求。此外，與政府和智慧城市開發商的合作也正在釋放新的部署機會。

產業生態系統分析
- 供應商格局
- 利潤率
- 成本結構
- 每個階段的增值
- 影響價值鏈的因素
- 中斷
產業衝擊力
- 成長動力
  - 物聯網設備的擴展
  - 對即時資料處理和分析的需求不斷成長
  - 需要低延遲處理
  - 5G網路的興起
  - 工業4.0的採用
- 產業陷阱與挑戰
  - 缺乏標準化
  - 初始成本高
- 市場機會
  - 物聯網和邊緣設備整合
  - 智慧能源和公用事業
成長潛力分析
監管格局
波特的分析
PESTEL分析
技術和創新格局
- 當前的技術趨勢
- 新興技術
專利分析
成本細分分析
永續性和環境方面
- 永續實踐
- 減少廢棄物的策略
- 生產中的能源效率
- 環保舉措
- 碳足跡考量

第4章：競爭格局

介紹
公司市佔率分析
- 北美洲
- 歐洲
- 亞太地區
- 拉丁美洲
- 中東和非洲
主要市場參與者的競爭分析
競爭定位矩陣
戰略展望矩陣
關鍵進展
- 併購
- 夥伴關係與合作
- 新產品發布
- 擴張計劃和資金

第5章：市場估計與預測：按組件，2021 - 2034 年

主要趨勢
硬體
- 閘道
- 路由器和交換機
- IP攝影機
- 感應器
- 微資料感測器
軟體
- 霧運算平台
- 客製化應用軟體

第6章：市場估計與預測：依部署模型，2021 - 2034 年

主要趨勢
B 私有霧節點
社群霧節點
公共霧節點
混合霧節點

第7章：市場估計與預測：按應用，2021 - 2034 年

主要趨勢
安全
智慧能源
智慧製造
交通與物流
互聯健康
建築和家居自動化
其他

第8章：市場估計與預測：按地區，2021 - 2034 年

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 北歐人
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
MEA
- 阿拉伯聯合大公國
- 沙烏地阿拉伯

第9章：公司簡介

ADLINK
Amazon Web Services
ARM Holdings
Cisco Systems
Cradlepoint
Dell
FogHorn
Fujitsu
GE
Hitachi
Huawei
IBM
Intel
MachineShop
Microsoft
Nebbiolo
SAP
Schneider
Toshiba
Zebra

簡介目錄

Product Code: 2295

The Global Fog Computing Market was valued at USD 346.8 million in 2024 and is estimated to grow at a CAGR of 16.2% to reach USD 1.2 billion by 2034. This rapid expansion is being fueled by rising demand for low-latency communication, decentralized processing, and real-time analytics across industries such as telecom, manufacturing, smart infrastructure, and healthcare. As organizations continue to shift toward digital transformation, the need for efficient data handling closer to the source is growing. Fog computing plays a critical role by enabling faster data processing, reducing pressure on bandwidth, and enhancing decision-making through local computing resources. The increasing number of connected devices and the push for intelligent, scalable solutions are making fog computing a core component of modern edge-cloud architectures.

Fog computing enables local storage, analysis, and action, distinguishing itself from traditional cloud models by reducing the distance data must travel. As more organizations deploy edge systems, demand for flexible, real-time platforms that process data on-site without delays is accelerating. Industries relying on time-sensitive data, particularly where privacy and speed are key, are rapidly turning to fog computing as a dependable and secure infrastructure solution that bridges local operations and broader cloud systems.

Market Scope
Start Year	2024
Forecast Year	2025-2034
Start Value	$346.8 Million
Forecast Value	$1.2 Billion
CAGR	16.2%

Private fog node deployments segment 42% share and is projected to grow at a CAGR of 17.2% through 2034. These localized nodes give enterprises more direct control over infrastructure, offering tailored performance, security, and compliance solutions. Businesses managing critical operations or sensitive data, including those in healthcare, defense, and energy, continue to favor private nodes for their ability to handle confidential workloads independently and securely while ensuring data governance and reducing latency.

The software segment held a 69% share in 2024. As industry evolves from a niche technology to a key driver of edge intelligence, robust fog computing software becomes essential. Companies increasingly rely on orchestration tools, analytics platforms, and virtualization technologies that allow seamless management and deployment across complex edge ecosystems. These platforms support consistent performance across distributed infrastructures, streamlining operations for enterprises that rely on fast, accurate insights from their edge environments.

United States Fog Computing Market held a 67% share and generated USD 114.2 million in 2024. Strong digital infrastructure, a fast-moving innovation ecosystem, and growing enterprise demand for localized processing have positioned the country as a frontrunner in this space. Fog computing is now integral to operational strategies in sectors where real-time data is vital, offering a competitive advantage through improved efficiency and immediate response capabilities.

Major companies in the Fog Computing Market include Schneider, ARM Holdings, FogHorn, Cisco, Intel, Fujitsu, GE, Microsoft, IBM, and Dell. Companies in the fog computing sector are leveraging key strategies to enhance their market foothold. Strategic collaborations with edge device manufacturers and cloud service providers are helping vendors extend their reach and enable seamless integration across platforms.

Firms are heavily investing in R&D to develop advanced orchestration software, security protocols, and AI-powered automation for distributed environments. Customization of fog solutions for industry-specific use cases, especially in energy, healthcare, and manufacturing, is also on the rise. Many businesses are transitioning toward hybrid cloud-fog models to meet growing performance and compliance demands. Additionally, partnerships with governments and smart city developers are unlocking new deployment opportunities.

Chapter 1 Methodology

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 360⁰ synopsis
2.2 Key market trends
- 2.2.1 Regional
- 2.2.2 Product
- 2.2.3 Vehicle
- 2.2.4 Technology
- 2.2.5 End use
2.3 TAM Analysis, 2025-2034
2.4 CXO perspectives: Strategic imperatives
- 2.4.1 Key decision points for industry executives
- 2.4.2 Critical success factors for market players
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 Expansion of IoT devices
  - 3.2.1.2 Growing demand for real-time data processing and analytics
  - 3.2.1.3 Need for low-latency processing
  - 3.2.1.4 Rise of 5G networks
  - 3.2.1.5 Industry 4.0 adoption
- 3.2.2 Industry pitfalls & challenges
  - 3.2.2.1 Lack of standardization
  - 3.2.2.2 High initial costs
- 3.2.3 Market opportunities
  - 3.2.3.1 IoT and edge device integration
  - 3.2.3.2 Smart energy and utilities
3.3 Growth potential analysis
3.4 Regulatory landscape
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 Patent analysis
3.9 Cost breakdown analysis
3.10 Sustainability and environmental aspects
- 3.10.1 Sustainable practices
- 3.10.2 Waste reduction strategies
- 3.10.3 Energy efficiency in production
- 3.10.4 Eco-friendly initiatives
- 3.10.5 Carbon footprint considerations

Chapter 4 Competitive Landscape, 2024

4.1 Introduction
4.2 Company market share analysis
- 4.2.1 North America
- 4.2.2 Europe
- 4.2.3 Asia Pacific
- 4.2.4 Latin America
- 4.2.5 Middle East & Africa
4.3 Competitive analysis of major market players
4.4 Competitive positioning matrix
4.5 Strategic outlook matrix
4.6 Key developments
- 4.6.1 Mergers & acquisitions
- 4.6.2 Partnerships & collaborations
- 4.6.3 New Product Launches
- 4.6.4 Expansion Plans and funding

Chapter 5 Market Estimates & Forecast, By Component, 2021 - 2034 ($Mn)

5.1 Key trends
5.2 Hardware
- 5.2.1 Gateways
- 5.2.2 Routers & switches
- 5.2.3 IP video cameras
- 5.2.4 Sensors
- 5.2.5 Micro data sensors
5.3 Software
- 5.3.1 Fog computing platform
- 5.3.2 Customized application software

Chapter 6 Market Estimates & Forecast, By Deployment Model, 2021 - 2034 ($Mn)

6.1 Key trends
6.2 B Private fog node
6.3 Community fog node
6.4 Public fog node
6.5 Hybrid fog node

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2034 ($Mn)

7.1 Key trends
7.2 Security
7.3 Intelligent energy
7.4 Smart manufacturing
7.5 Traffic & logistics
7.6 Connected health
7.7 Building & home automation
7.8 Others

Chapter 8 Market Estimates & Forecast, By Region, 2021 - 2034 ($Mn, Units)

8.1 Key trends
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Russia
- 8.3.7 Nordics
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 South Korea
- 8.4.5 ANZ
- 8.4.6 Southeast Asia
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
8.6 MEA
- 8.6.1 UAE
- 8.6.2 Saudi Arabia