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市場調查報告書
商品編碼
1874673

全球霧運算市場

Fog Computing
出版日期: | 出版商: Market Glass, Inc. (Formerly Global Industry Analysts, Inc.) | 英文 179 Pages | 商品交期: 最快1-2個工作天內

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簡介目錄

預計2030年，全球霧計算市場規模將達到4.19億美元。

全球霧計算市場規模預計在2024年達到2.09億美元，到2030年將達到4.19億美元，在分析期間（2024-2030年）內複合年成長率（CAGR）為12.3%。智慧製造應用是本報告分析的細分市場之一，預計在分析期結束時將以14.2%的複合年成長率成長，達到1.3億美元。智慧型能源應用細分市場預計在分析期間將以13.4%的複合年成長率成長。

美國市場規模估計為5,640萬美元，而中國市場預計將以11.1%的複合年成長率成長。

預計到2024年，美國霧計算市場規模將達到5,640萬美元。作為世界第二大經濟體，中國預計到2030年市場規模將達到6,270萬美元，在2024年至2030年的分析期內，複合年成長率（CAGR）將達到11.1%。其他值得關注的區域市場分析包括日本和加拿大，預計在分析期內，這兩個國家的複合年成長率將分別達到11.4%和10.1%。在歐洲，德國預計將以約8.3%的複合年成長率成長。

全球霧運算市場－主要市場趨勢與促進因素概述

為什麼霧運算將改變資料處理和物聯網的未來

霧運算正在改變現代技術中資料處理和管理的方式，但為什麼它在物聯網 (IoT) 和邊緣運算時代變得如此重要？霧運算是一種架構，它將雲端運算的功能擴展到網路邊緣，更靠近物聯網設備等資料來源。這種分散式方法允許在本地處理數據，透過最大限度地減少將所有數據發送到集中式雲端伺服器的需求，從而降低延遲和頻寬使用。製造業、醫療保健、交通運輸和智慧城市等行業都依賴霧運算來增強即時處理和決策能力。

霧計算正在革新資料處理方式，其主要優勢在於能夠降低延遲並提升響應速度。自動駕駛汽車、智慧工廠和遠端醫療等應用需要在毫秒時間內做出決策。資料在雲端來回傳輸會引入不可接受的延遲。霧運算能夠將資料處理部署在更靠近資料來源的位置，從而實現更快的分析和即時回應。這種本地處理方式提高了系統效率和可靠性，使其成為對即時資料處理至關重要的關鍵任務型應用不可或缺的技術。

霧計算的工作原理及其有效性

霧運算看似是雲端服務的延伸，但它的運作原理是什麼？為什麼它能如此有效地提升物聯網和邊緣設備的資料處理能力？霧運算在雲端和邊緣設備之間建構了一個分散式運算節點層（霧節點）。這些霧節點可以是路由器、閘道器、交換機，或任何能夠在本地處理和儲存資料的設備。當物聯網設備收集資料時，它們無需將所有資訊傳送到遙遠的雲端伺服器，而是可以將處理任務卸載到附近的霧節點。這種方法不僅可以降低延遲，還可以透過僅將必要的資料傳送到雲端進行長期儲存或進一步分析，有助於緩解網路擁塞。

霧運算的優點在於其分散式處理能力和擴充性。它不再依賴單一的集中式雲端伺服器來處理大量數據，而是將負載分散到更靠近資料來源的多個節點。這減少了瓶頸，加快了數據處理速度，對於智慧城市等環境至關重要，因為在這些環境中，數百萬個物聯網感測器會持續產生即時數據。此外，由於霧運算可以在本地處理和分析數據，因此它具有高度擴充性，可以根據需要添加新的霧節點而不會給網路帶來壓力。

霧運算的另一個關鍵特性是其容錯性和安全性。本地處理資料可以降低敏感資訊因遠距傳輸至雲端而面臨的安全風險。霧節點可以在將資料發送到雲端之前對其進行過濾、加密和保護，從而降低網路攻擊的風險。這種本地處理也有助於提高系統可靠性，因為即使在網路中斷或雲端連線遺失的情況下，霧節點也能繼續運作。低延遲、擴充性和增強的安全性相結合，使霧運算成為管理分散式即時環境中資料的強大解決方案。

霧運算將如何影響物聯網、智慧城市和邊緣運算的未來？

霧運算不僅革新了現有的資料管理方法，更塑造著物聯網、智慧城市和邊緣運算的未來。霧運算推動創新的最重要途徑之一，在於它能夠協助物聯網生態系統實現即時決策。隨著從智慧家庭到連網醫療設備的日益普及，對能夠處理邊緣海量資料的低延遲處理能力的需求也與日俱增。霧運算能夠實現即時數據分析和決策，避免了雲端運算處理帶來的延遲，從而使物聯網系統能夠自主且有效率地運作。

在智慧城市領域，霧運算正變得日益重要，它能夠有效管理交通系統、能源網路、監控系統和公共交通。透過在本地處理來自物聯網感測器的數據，霧運算可以實現對交通流量、能源使用和公共的即時決策。例如，交通號誌可以根據即時擁塞數據進行調整，電網可以更有效地分配負載。這種局部處理降低了雲端基礎設施的負載，並確保關鍵的智慧城市系統即使在網路故障或頻寬受限的情況下也能平穩運行。

霧運算也塑造了邊緣運算的未來，邊緣運算旨在將資料處理轉移到更靠近資料來源的位置，而不是只依賴遙遠的雲端伺服器。霧運算作為邊緣設備和雲端之間的橋樑，能夠實現更均衡、更有效率的資料處理任務分配。這種混合方法，即雲端和邊緣設備透過霧節點進行協作，提高了資料管理的靈活性和擴充性。隨著邊緣運算在製造業、醫療保健和交通運輸等行業的不斷擴展，霧運算將在提升系統效能和實現即時應用方面發揮關鍵作用。

此外，霧計算有助於提高能源效率。在靠近邊緣的位置處理數據，減少了透過高能耗的遠距通訊向雲端傳輸大量數據的需求。這不僅降低了數據處理的碳排放，還有助於降低依賴物聯網系統的公司的成本。透過減少對集中式資料中心的依賴，霧運算為管理即時應用日益成長的資料處理需求提供了更永續、更有效率的方式。

哪些因素正在推動霧計算市場的成長？

推動霧運算市場快速成長的關鍵因素反映了對即時數據處理、可擴展性和更高網路效能日益成長的需求。其中一個關鍵促進因素是物聯網設備在各行業的爆炸性成長。隨著越來越多的設備連接到網際網路並產生大量數據，對能夠有效處理這些數據的分散式數據處理解決方案的需求也日益成長。霧運算為在邊緣管理物聯網資料提供了一種理想的架構，滿足自動駕駛汽車、智慧家庭和工業自動化等應用對即時處理的需求。

推動霧運算發展的另一個關鍵因素是對低延遲資料處理的需求。包括醫療保健、金融和製造業在內的許多行業都需要即時洞察來指導決策和最佳化營運。在這些行業中，將資料傳輸到遠端雲端伺服器時產生的延遲可能會造成高昂的成本，甚至帶來危險。霧運算透過在更靠近資料來源的地方處理資料來最大限度地減少這些延遲，從而實現更快的反應速度。這在自動駕駛汽車和機器人等行業尤其重要，因為在這些行業中，瞬間決策對於安全性和效率至關重要。

5G技術的興起也推動了霧運算的擴展。隨著5G網路的日益普及，物聯網設備將擁有更快、更可靠的連線。霧運算則透過提供本地處理能力來補充此優勢，從而管理5G設備產生的大量資料。 5G與霧運算的結合對於支援智慧城市、連線健診醫療以及其他需要高頻寬和低延遲的資料密集型應用的發展至關重要。

最後，網路安全問題正在推動霧運算的普及。隨著越來越多的裝置連接到雲端，網路攻擊的風險也隨之增加，尤其是在敏感資料遠距傳輸的情況下。霧運算透過在本地處理資訊來增強資料安全性，從而降低資料暴露於潛在威脅的風險。霧節點上的本地加密和資料過濾提供了額外的安全保障，使其成為醫療保健、金融和政府等處理敏感資料的行業的理想解決方案。這些因素，加上對可擴展、即時處理日益成長的需求，正在推動霧運算市場的快速擴張，使其成為資料管理和物聯網未來發展的關鍵技術。

部分：

產品（軟體、硬體）、應用（智慧製造、智慧型能源、運輸和物流、安全和緊急應變、建築和家庭自動化、連線健診及其他應用）

受訪公司範例

  • ARM Ltd.
  • Cisco Systems, Inc.
  • Dell EMC
  • Fujitsu Ltd.
  • GE Digital
  • Intel Corporation
  • Microsoft Corporation
  • Nebbiolo Technologies, Inc.
  • PrismTech Corporation
  • Schneider Electric Software LLC
  • Toshiba Corporation

人工智慧整合

我們正在利用檢驗的專家內容和人工智慧工具，革新市場和競爭情報分析。

Global Industry Analysts 並沒有依賴通用的 LLM 或查詢產業專用的SLM，而是建立了一個由世界各地領域專家精心整理的內容庫，包括視訊轉錄、部落格、搜尋引擎研究以及大量的公司、產品/服務和市場數據。

關稅影響係數

我們最新發布的報告納入了關稅對區域市場的影響，正如全球產業分析師預測的那樣，關稅將改變企業的競爭地位，而企業的競爭地位將取決於其總部所在地、製造地以及進出口（成品和OEM產品）。這種複雜多變的市場現實將透過微觀和宏觀市場動態影響競爭對手，包括銷貨成本增加、盈利下降以及供應鏈重組。

目錄

第1章調查方法

第2章執行摘要

  • 市場概覽
  • 主要企業
  • 市場趨勢和促進因素
  • 全球市場展望

第3章 市場分析

  • 美國
  • 加拿大
  • 日本
  • 中國
  • 歐洲
  • 法國
  • 德國
  • 義大利
  • 英國
  • 其他歐洲
  • 亞太地區
  • 世界其他地區

第4章 競賽

簡介目錄
Product Code: MCP12021

Global Fog Computing Market to Reach US$419.0 Million by 2030

The global market for Fog Computing estimated at US$209.0 Million in the year 2024, is expected to reach US$419.0 Million by 2030, growing at a CAGR of 12.3% over the analysis period 2024-2030. Smart Manufacturing Application, one of the segments analyzed in the report, is expected to record a 14.2% CAGR and reach US$130.0 Million by the end of the analysis period. Growth in the Smart Energy Application segment is estimated at 13.4% CAGR over the analysis period.

The U.S. Market is Estimated at US$56.4 Million While China is Forecast to Grow at 11.1% CAGR

The Fog Computing market in the U.S. is estimated at US$56.4 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$62.7 Million by the year 2030 trailing a CAGR of 11.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 11.4% and 10.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 8.3% CAGR.

Global Fog Computing Market - Key Trends and Drivers Summarized

Why Is Fog Computing Revolutionizing the Future of Data Processing and IoT?

Fog computing is transforming how data is processed and managed in modern technology, but why has it become so critical in the era of the Internet of Things (IoT) and edge computing? Fog computing is an architecture that extends cloud computing capabilities to the edge of the network, closer to the data sources, such as IoT devices. This decentralized approach allows data to be processed locally, reducing latency and bandwidth usage by minimizing the need to send all data to centralized cloud servers. Industries like manufacturing, healthcare, transportation, and smart cities rely on fog computing to enhance real-time processing and decision-making.

The key reason fog computing is revolutionizing data processing is its ability to reduce latency and improve response times. In applications such as autonomous vehicles, smart factories, or telemedicine, where decisions must be made within milliseconds, sending data back and forth to the cloud introduces unacceptable delays. Fog computing enables data to be processed at or near the source, allowing for faster analysis and real-time actions. This localized processing improves system efficiency and reliability, making it essential for mission-critical applications where instant data processing is a necessity.

How Does Fog Computing Work, and What Makes It So Effective?

Fog computing may seem like an extension of cloud services, but how does it work, and what makes it so effective in improving data processing for IoT and edge devices? Fog computing involves creating a layer of decentralized computing nodes, or fog nodes, between the cloud and edge devices. These fog nodes can be routers, gateways, switches, or any device capable of processing and storing data locally. When an IoT device collects data, it can offload processing tasks to a nearby fog node instead of sending all the information to a distant cloud server. This approach not only reduces latency but also alleviates network congestion, as only essential data is sent to the cloud for long-term storage or further analysis.

What makes fog computing effective is its distributed processing power and enhanced scalability. Instead of relying on a single centralized cloud server to process vast amounts of data, fog computing distributes the load across multiple nodes closer to where the data is generated. This reduces bottlenecks and allows for quicker data processing, which is crucial in environments like smart cities where millions of IoT sensors are constantly producing real-time data. Moreover, fog computing’s ability to process and analyze data locally makes it highly scalable, as new fog nodes can be added as needed without overwhelming the network.

Another key feature of fog computing is its resilience and security. By processing data locally, sensitive information is less vulnerable to security risks associated with transmitting data over long distances to the cloud. Fog nodes can filter, encrypt, and protect data before it is sent to the cloud, reducing the risk of cyberattacks. This localized processing also helps ensure system reliability in the event of network disruptions, as the fog nodes can continue to operate even when the connection to the cloud is lost. This combination of reduced latency, enhanced scalability, and improved security makes fog computing a powerful solution for managing data in a distributed, real-time environment.

How Is Fog Computing Shaping the Future of IoT, Smart Cities, and Edge Computing?

Fog computing is not only advancing current data management practices but also shaping the future of IoT, smart cities, and edge computing. One of the most significant ways fog computing is driving innovation is through its role in enabling real-time decision-making in IoT ecosystems. As IoT devices proliferate, from smart homes to connected healthcare devices, there is an increasing demand for low-latency processing that can handle large volumes of data generated at the edge. Fog computing allows for immediate data analysis and decision-making, enabling IoT systems to act autonomously and efficiently, without the delays associated with cloud processing.

In the realm of smart cities, fog computing is becoming indispensable for managing traffic systems, energy grids, surveillance, and public transportation. By processing data from IoT sensors locally, fog computing can make real-time decisions about traffic flow, energy usage, and public safety. For instance, traffic lights can adjust based on real-time congestion data, and power grids can balance loads more effectively. This localized processing helps reduce the load on cloud infrastructure and ensures that critical systems in smart cities can function smoothly, even in the face of network disruptions or bandwidth limitations.

Fog computing is also shaping the future of edge computing, where the goal is to move data processing closer to the source, rather than relying solely on distant cloud servers. By providing a bridge between edge devices and the cloud, fog computing allows for a more balanced, efficient distribution of data processing tasks. This hybrid approach, where both the cloud and edge devices collaborate through fog nodes, is making data management more flexible and scalable. As edge computing continues to expand across industries like manufacturing, healthcare, and transportation, fog computing will play a critical role in improving system performance and enabling real-time applications.

Furthermore, fog computing is contributing to energy-efficient computing. Processing data closer to the edge reduces the need to transmit vast amounts of data over long distances to the cloud, which can be energy-intensive. This not only reduces the carbon footprint of data processing but also helps cut costs for businesses that rely on IoT systems. By reducing the reliance on centralized data centers, fog computing offers a more sustainable and efficient way to manage the growing demand for data processing in real-time applications.

What Factors Are Driving the Growth of the Fog Computing Market?

Several key factors are driving the rapid growth of the fog computing market, reflecting the increasing need for real-time data processing, scalability, and improved network performance. One of the primary drivers is the explosion of IoT devices across industries. As more devices connect to the internet and generate massive amounts of data, there is a growing need for decentralized data processing solutions that can handle this influx efficiently. Fog computing offers the ideal architecture for managing IoT data at the edge, where immediate processing is required for applications such as autonomous vehicles, smart homes, and industrial automation.

Another significant factor contributing to the growth of fog computing is the demand for low-latency data processing. Many industries, such as healthcare, finance, and manufacturing, require real-time insights to drive decision-making and optimize operations. In these sectors, delays caused by sending data to distant cloud servers can be costly and even dangerous. Fog computing minimizes these delays by processing data closer to the source, enabling faster response times. This is particularly important in industries like autonomous vehicles and robotics, where split-second decisions are essential to safety and efficiency.

The rise of 5G technology is also fueling the expansion of fog computing. As 5G networks become more widespread, they will enable faster, more reliable connections for IoT devices. Fog computing complements this by providing the local processing power needed to manage the massive amounts of data generated by 5G-enabled devices. This combination of 5G and fog computing will be critical in supporting the growth of smart cities, connected healthcare, and other data-intensive applications that require high bandwidth and low latency.

Lastly, cybersecurity concerns are driving the adoption of fog computing. As more devices connect to the cloud, the risk of cyberattacks increases, particularly when sensitive data is transmitted over long distances. Fog computing enhances data security by processing information locally, reducing the exposure of data to potential threats. Localized encryption and data filtering at fog nodes add an extra layer of security, making fog computing an attractive solution for industries that handle sensitive data, such as healthcare, finance, and government. These factors, combined with the growing need for scalable, real-time processing, are driving the rapid expansion of the fog computing market, positioning it as a key technology in the future of data management and IoT.

SCOPE OF STUDY:

The report analyzes the Fog Computing market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Offering (Software, Hardware); Application (Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health, Other Applications)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 12 Featured) -

  • ARM Ltd.
  • Cisco Systems, Inc.
  • Dell EMC
  • Fujitsu Ltd.
  • GE Digital
  • Intel Corporation
  • Microsoft Corporation
  • Nebbiolo Technologies, Inc.
  • PrismTech Corporation
  • Schneider Electric Software LLC
  • Toshiba Corporation

AI INTEGRATIONS

We're transforming market and competitive intelligence with validated expert content and AI tools.

Instead of following the general norm of querying LLMs and Industry-specific SLMs, we built repositories of content curated from domain experts worldwide including video transcripts, blogs, search engines research, and massive amounts of enterprise, product/service, and market data.

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by increasing the Cost of Goods Sold (COGS), reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Trade Shocks, Uncertainty, and the Structural Rewiring of the Global Economy
    • Global Economic Update
    • Fog Computing - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Increasing Adoption of IoT Devices Fuels Demand for Fog Computing Solutions
    • Technological Innovations in Edge Computing Enhance Data Processing Capabilities
    • Growth in Smart City Initiatives Supports Deployment of Fog Computing Frameworks
    • Integration of Artificial Intelligence and Machine Learning in Fog Computing
    • Impact of Autonomous Vehicles and Connected Transportation on Fog Deployment
    • Global Expansion in Healthcare and Manufacturing Industries Utilizing Fog Computing
    • Innovation in Security Protocols to Safeguard Sensitive Data in Fog Networks
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Recent Past, Current & Future Analysis for Smart Manufacturing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 2: World 6-Year Perspective for Smart Manufacturing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 3: World Recent Past, Current & Future Analysis for Smart Energy by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 4: World 6-Year Perspective for Smart Energy by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 5: World Recent Past, Current & Future Analysis for Transportation & Logistics by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 6: World 6-Year Perspective for Transportation & Logistics by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 7: World Recent Past, Current & Future Analysis for Security & Emergencies by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 8: World 6-Year Perspective for Security & Emergencies by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 9: World Recent Past, Current & Future Analysis for Building & Home Automation by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 10: World 6-Year Perspective for Building & Home Automation by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 11: World Recent Past, Current & Future Analysis for Connected Health by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 12: World 6-Year Perspective for Connected Health by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 13: World Recent Past, Current & Future Analysis for Other Applications by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 14: World 6-Year Perspective for Other Applications by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 15: World Recent Past, Current & Future Analysis for Software by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 16: World 6-Year Perspective for Software by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 17: World Recent Past, Current & Future Analysis for Hardware by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 18: World 6-Year Perspective for Hardware by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 19: World Fog Computing Market Analysis of Annual Sales in US$ for Years 2015 through 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for Fog Computing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for Fog Computing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 22: USA Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 23: USA 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 24: USA Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 25: USA 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • CANADA
    • TABLE 26: Canada Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 27: Canada 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 28: Canada Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 29: Canada 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • JAPAN
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 30: Japan Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 31: Japan 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 32: Japan Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 33: Japan 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • CHINA
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 34: China Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 35: China 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 36: China Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 37: China 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • EUROPE
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 38: Europe Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Europe 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 40: Europe Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Europe 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
    • TABLE 42: Europe Recent Past, Current & Future Analysis for Fog Computing by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ for Years 2024 through 2030 and % CAGR
    • TABLE 43: Europe 6-Year Perspective for Fog Computing by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
  • FRANCE
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 44: France Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 45: France 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 46: France Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 47: France 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • GERMANY
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 48: Germany Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Germany 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 50: Germany Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 51: Germany 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • ITALY
    • TABLE 52: Italy Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 53: Italy 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 54: Italy Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 55: Italy 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • UNITED KINGDOM
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 56: UK Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 57: UK 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 58: UK Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 59: UK 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 60: Rest of Europe Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Rest of Europe 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 62: Rest of Europe Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Rest of Europe 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Fog Computing Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 64: Asia-Pacific Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 65: Asia-Pacific 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 66: Asia-Pacific Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 67: Asia-Pacific 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 68: Rest of World Recent Past, Current & Future Analysis for Fog Computing by Application - Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 69: Rest of World 6-Year Perspective for Fog Computing by Application - Percentage Breakdown of Value Sales for Smart Manufacturing, Smart Energy, Transportation & Logistics, Security & Emergencies, Building & Home Automation, Connected Health and Other Applications for the Years 2025 & 2030
    • TABLE 70: Rest of World Recent Past, Current & Future Analysis for Fog Computing by Offering - Software and Hardware - Independent Analysis of Annual Sales in US$ for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Rest of World 6-Year Perspective for Fog Computing by Offering - Percentage Breakdown of Value Sales for Software and Hardware for the Years 2025 & 2030

IV. COMPETITION