查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1874673

全球雾运算市场

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个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

预计2030年，全球雾计算市场规模将达到4.19亿美元。

全球雾计算市场规模预计在2024年达到2.09亿美元，到2030年将达到4.19亿美元，在分析期间（2024-2030年）内复合年增长率（CAGR）为12.3%。智慧製造应用是本报告分析的细分市场之一，预计在分析期结束时将以14.2%的复合年增长率成长，达到1.3亿美元。智慧型能源应用细分市场预计在分析期间将以13.4%的复合年增长率成长。

美国市场规模估计为5,640万美元，而中国市场预计将以11.1%的复合年增长率成长。

预计到2024年，美国雾计算市场规模将达到5,640万美元。作为世界第二大经济体，中国预计到2030年市场规模将达到6,270万美元，在2024年至2030年的分析期内，复合年增长率（CAGR）将达到11.1%。其他值得关注的区域市场分析包括日本和加拿大，预计在分析期内，这两个国家的复合年增长率将分别达到11.4%和10.1%。在欧洲，德国预计将以约8.3%的复合年增长率成长。

全球雾运算市场－主要市场趋势与驱动因素概述

为什么雾运算将改变资料处理和物联网的未来

雾运算正在改变现代技术中资料处理和管理的方式，但为什么它在物联网 (IoT) 和边缘运算时代变得如此重要？雾运算是一种架构，它将云端运算的功能扩展到网路边缘，更靠近物联网设备等资料来源。这种分散式方法允许在本地处理数据，透过最大限度地减少将所有数据发送到集中式云端伺服器的需求，从而降低延迟和频宽使用。製造业、医疗保健、交通运输和智慧城市等行业都依赖雾运算来增强即时处理和决策能力。

雾计算正在革新资料处理方式，其主要优势在于能够降低延迟并提升响应速度。自动驾驶汽车、智慧工厂和远端医疗等应用需要在毫秒时间内做出决策。资料在云端来回传输会引入不可接受的延迟。雾运算能够将资料处理部署在更靠近资料来源的位置，从而实现更快的分析和即时回应。这种本地处理方式提高了系统效率和可靠性，使其成为对即时资料处理至关重要的关键任务型应用不可或缺的技术。

雾计算的工作原理及其有效性

雾运算看似是云端服务的延伸，但它的运作原理是什么？为什么它能如此有效地提升物联网和边缘设备的资料处理能力？雾运算在云端和边缘设备之间建构了一个分散式运算节点层（雾节点）。这些雾节点可以是路由器、网关、交换机，或任何能够在本地处理和储存资料的设备。当物联网设备收集资料时，它们无需将所有资讯传送到遥远的云端伺服器，而是可以将处理任务卸载到附近的雾节点。这种方法不仅可以降低延迟，还可以透过仅将必要的资料传送到云端进行长期储存或进一步分析，有助于缓解网路拥塞。

雾运算的优点在于其分散式处理能力和扩充性。它不再依赖单一的集中式云端伺服器来处理大量数据，而是将负载分散到更靠近资料来源的多个节点。这减少了瓶颈，加快了数据处理速度，对于智慧城市等环境至关重要，因为在这些环境中，数百万个物联网感测器会持续产生即时数据。此外，由于雾运算可以在本地处理和分析数据，因此它具有高度扩充性，可以根据需要添加新的雾节点而不会给网路带来压力。

雾运算的另一个关键特性是其容错性和安全性。本地处理资料可以降低敏感资讯因远距传输至云端而面临的安全风险。雾节点可以在将资料发送到云端之前对其进行过滤、加密和保护，从而降低网路攻击的风险。这种本地处理也有助于提高系统可靠性，因为即使在网路中断或云端连线遗失的情况下，雾节点也能继续运作。低延迟、扩充性和增强的安全性相结合，使雾运算成为管理分散式即时环境中资料的强大解决方案。

雾运算将如何影响物联网、智慧城市和边缘运算的未来？

雾运算不仅革新了现有的资料管理方法，更塑造着物联网、智慧城市和边缘运算的未来。雾运算推动创新的最重要途径之一，在于它能够协助物联网生态系统实现即时决策。随着从智慧家庭到连网医疗设备的日益普及，对能够处理边缘海量资料的低延迟处理能力的需求也与日俱增。雾运算能够实现即时数据分析和决策，避免了云端运算处理带来的延迟，从而使物联网系统能够自主且有效率地运作。

在智慧城市领域，雾运算正变得日益重要，它能够有效管理交通系统、能源网路、监控系统和公共交通。透过在本地处理来自物联网感测器的数据，雾运算可以实现对交通流量、能源使用和公共的即时决策。例如，交通号誌可以根据即时拥塞数据进行调整，电网可以更有效地分配负载。这种局部处理降低了云端基础设施的负载，并确保关键的智慧城市系统即使在网路故障或频宽受限的情况下也能平稳运行。

雾运算也塑造了边缘运算的未来，边缘运算旨在将资料处理转移到更靠近资料来源的位置，而不是只依赖遥远的云端伺服器。雾运算作为边缘设备和云端之间的桥樑，能够实现更均衡、更有效率的资料处理任务分配。这种混合方法，即云端和边缘设备透过雾节点进行协作，提高了资料管理的灵活性和扩充性。随着边缘运算在製造业、医疗保健和交通运输等行业的不断扩展，雾运算将在提升系统效能和实现即时应用方面发挥关键作用。

此外，雾计算有助于提高能源效率。在靠近边缘的位置处理数据，减少了透过高能耗的远距通讯向云端传输大量数据的需求。这不仅降低了数据处理的碳排放，还有助于降低依赖物联网系统的公司的成本。透过减少对集中式资料中心的依赖，雾运算为管理即时应用日益增长的资料处理需求提供了更永续、更有效率的方式。

哪些因素正在推动雾计算市场的成长？

推动雾运算市场快速成长的关键因素反映了对即时数据处理、可扩展性和更高网路效能日益增长的需求。其中一个关键驱动因素是物联网设备在各行业的爆炸性成长。随着越来越多的设备连接到互联网并产生大量数据，对能够有效处理这些数据的分散式数据处理解决方案的需求也日益增长。雾运算为在边缘管理物联网资料提供了一种理想的架构，满足自动驾驶汽车、智慧家庭和工业自动化等应用对即时处理的需求。

推动雾运算发展的另一个关键因素是对低延迟资料处理的需求。包括医疗保健、金融和製造业在内的许多行业都需要即时洞察来指导决策和优化营运。在这些行业中，将资料传输到远端云端伺服器时产生的延迟可能会造成高昂的成本，甚至带来危险。雾运算透过在更靠近资料来源的地方处理资料来最大限度地减少这些延迟，从而实现更快的反应速度。这在自动驾驶汽车和机器人等行业尤其重要，因为在这些行业中，瞬间决策对于安全性和效率至关重要。

5G技术的兴起也推动了雾运算的扩展。随着5G网路的日益普及，物联网设备将拥有更快、更可靠的连线。雾运算则透过提供本地处理能力来补充此优势，从而管理5G设备产生的大量资料。 5G与雾运算的结合对于支援智慧城市、连线健诊医疗以及其他需要高频宽和低延迟的资料密集型应用的发展至关重要。

最后，网路安全问题正在推动雾运算的普及。随着越来越多的装置连接到云端，网路攻击的风险也随之增加，尤其是在敏感资料远距传输的情况下。雾运算透过在本地处理资讯来增强资料安全性，从而降低资料暴露于潜在威胁的风险。雾节点上的本地加密和资料过滤提供了额外的安全保障，使其成为医疗保健、金融和政府等处理敏感资料的行业的理想解决方案。这些因素，加上对可扩展、即时处理日益增长的需求，正在推动雾运算市场的快速扩张，使其成为资料管理和物联网未来发展的关键技术。

部分：

产品（软体、硬体）、应用（智慧製造、智慧型能源、运输和物流、安全和紧急应变、楼宇和家庭自动化、连线健诊及其他应用）

受访公司范例

  • 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

人工智慧集成

我们正在利用检验的专家内容和人工智慧工具，革新市场和竞争情报分析。

Global Industry Analysts 并没有依赖通用的 LLM 或查询产业专用的SLM，而是建立了一个由世界各地领域专家精心整理的内容库，包括视讯转录、部落格、搜寻引擎研究以及大量的公司、产品/服务和市场数据。

关税影响係数

我们最新发布的报告纳入了关税对区域市场的影响，正如全球产业分析师预测的那样，关税将改变企业的竞争地位，而企业的竞争地位将取决于其总部所在地、製造地以及进出口（成品和OEM产品）。这种复杂多变的市场现实将透过微观和宏观市场动态影响竞争对手，包括销货成本增加、盈利下降以及供应链重组。

目录

第一章调查方法

第二章执行摘要

  • 市场概览
  • 主要企业
  • 市场趋势和驱动因素
  • 全球市场展望

第三章 市场分析

  • 美国
  • 加拿大
  • 日本
  • 中国
  • 欧洲
  • 法国
  • 德国
  • 义大利
  • 英国
  • 其他欧洲
  • 亚太地区
  • 世界其他地区

第四章 竞赛

简介目录
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