Fog Computing Market Report 2025

This report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The fog computing market size has grown exponentially in recent years. It will grow from $0.21 billion in 2024 to $0.28 billion in 2025 at a compound annual growth rate (CAGR) of 36.8%. The growth in the historic period can be attributed to proliferation of IoT devices, increasing demand for real-time applications, advancements in edge computing, rise of cloud computing, rapid growth of big data.

The fog computing market size is expected to see exponential growth in the next few years. It will grow to $0.96 billion in 2029 at a compound annual growth rate (CAGR) of 35.5%. The growth in the forecast period can be attributed to growing adoption of edge-as-a-service, expansion of smart cities, increased focus on edge security, advancements in edge AI, 5G network rollout. Major trends in the forecast period include edge AI maturation, quantum fog computing, enhanced fog-to-cloud integration, blockchain integration for security, dynamic fog resource orchestration.

The increasing adoption of smart devices is expected to fuel fog computing market growth. Smart devices, enhanced with advanced computing capabilities such as AI and machine learning and connected to form the Internet of Things (IoT), benefit from fog computing for real-time data processing, reduced latency, and improved scalability by moving tasks from centralized clouds to edge devices. For instance, in February 2023, Uswitch Limited reported that mobile connections in the UK increased by 3.8% from 2021, with 71.8 million connections, and by 2025, an estimated 95% of the UK population is expected to own a smartphone. This growing adoption of smart devices is driving the expansion of fog computing.

Leading companies in the fog computing market are focusing on products with edge AI integration, such as managed edge-to-cloud solutions, to strengthen their market positions. Managed edge-to-cloud solutions automate and manage data handling from the edge to the cloud. In May 2022, Atos SE launched "Atos Business Outcomes-as-a-Service" (Atos BOaaS), a 5G, edge, and IoT solution developed with Dell Technologies. This offering enables enterprises to derive value from IoT data with AI and manage their IoT environments from a single dashboard, reducing on-site tech support and lowering environmental impact, saving hundreds of metric tons of CO2 per client annually.

In January 2022, Johnson Controls acquired FogHorn Systems, Inc. to strengthen its smart building solutions with advanced edge AI. FogHorn Systems is an Ireland-based software company.

Major players in the fog computing market are Microsoft Corporation, Dell Technologies Inc., Intel Corporation, International Business Machines (IBM) Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, Toshiba Corporation, ARM Holdings Plc, Hitachi Vantara Corporation., ADLINK Technology Inc., Wind River Systems, Cradlepoint Inc., Huawei Technologies Co. Limited, MachineShop, Fujitsu Limited, Lynx Software Technologies, NebulaLink, ClearBlade, Saguna Networks, Virtuosys, SixSq, Nebbiolo Technologies Inc., Crosser Technologies, and Litbit.

North America was the largest region in the fog computing market in 2024, while Asia-Pacific is expected to grow the fastest in the forecast period. Regions covered in the report include Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa.

The report also covers countries including Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, the UK, the USA, Canada, Italy, and Spain.

The fog computing market consists of revenues from services such as real-time data processing, data pre-processing, rule-based real-time monitoring, and short-term storage. It includes sales of servers, routers, switches, controllers, gateways, fog computing platforms, and customized application software, with values based on the "factory gate" approach - representing goods sold by manufacturers or creators directly to end customers or other entities along the supply chain. Revenues reflect consumption values in the specified geography, excluding resale revenues along the supply chain.

Fog computing is a decentralized computing framework that brings processing resources closer to data sources or endpoint devices, rather than solely relying on centralized cloud servers. This architecture enhances real-time applications by moving computing, storage, and networking resources closer to data sources.

The primary components of fog computing are hardware and software. Hardware refers to tangible computing components, including devices such as sensors, switches, routers, and other low-powered devices used to locally collect and process data, reducing latency and improving performance. Deployment models include private, community, public, and hybrid fog nodes, while applications are divided into building and home automation, smart energy, smart manufacturing, transportation and logistics, connected health, security and emergencies, retail, and others.

The fog computing research report, part of a new series from The Business Research Company, provides market statistics, including global market size, regional shares, competitor analysis, detailed segments, market trends, opportunities, and additional insights required for success in the fog computing industry. It presents a comprehensive view of the current and future scenarios of the industry.

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