Security issues with edge computing and the amount of data generated is expected to drive market expansion in the near future at a CAGR of 12.4% during the forecast period 2022 to 2032.

Market Research Future (MRFR) has published a cooked research report on the “Global Federal Edge Computing Market” that contains information from 2022 to 2032. The Federal Edge Computing market is estimated to register a CAGR of 12.4% during the forecast period of 2022 to 2032.

MRFR recognizes the following companies as the key players in the global Federal Edge Computing market— CISCO,AWS, DELL TECHNOLOGIES, GOOGLE, HPE (US), Huawei (China), IBM (US), Intel (US), Litmus Automation (US), Microsoft (US), Nokia (Finland), ADLINK (Taiwan), Axellio (US), Capge (US), Fastly (US), StackPath (US), Vapor IO (US), GE Digital (US), Moxa (Taiwan), Sierra Wireless (Canada), Juniper Networks (US), EdgeC (Israel), Edge Intelligence (US), Edgeworx (US), Sunlight.io (UK), Mutable (US), Hivecell (US), Section (US), and EdgeIQ (US).

Federal Edge Computing Market Highlights

The global federal edge computing market is accounted to register a CAGR of 12.4% during the forecast period and is estimated to reach USD 1.9 Billion by 2032.

The federal edge computing market addresses the unique needs of government agencies. Federal edge computing solutions help improve data security, enable rapid response to critical events, and enhance the performance of government services, making them more efficient and responsive to citizens' needs.

Segment Analysis

The global federal edge computing market has been segmented based component, application and organization size.

On the basis of component, the market is segmented into hardware, software, and services. Hardware segment dominated the global market in 2022. Hardware edge vendors are intensifying their efforts globally in edge computing. For instance, HPE has improved Edgeline Converged Edge Systems, an already-released edge computing device, with over USD 4 billion in investment over four years.

Based on application, the global federal edge computing market has been segmented into smart cities, industrial internet of things (IoT), remote monitoring, content delivery, augmented reality (AR), virtual reality (VR), and others. Industrial internet of things (IoT) segment dominated the global Federal Edge Computing market in 2022. This is due to their extensive applications. Omdia asserts that despite the current state of the economy, investments and advancements in worldwide loT projects are always increasing.

Based on organization size, the global federal edge computing market has been segmented into large enterprises and SMEs. Large enterprises segment dominated the global Federal Edge Computing market in 2022. Due to the data influx from internet of things (IoT) devices, including intelligent vehicles, machinery, and other objects, large enterprises worldwide are expanding.

Regional Analysis

The global federal edge computing market, based on region, has been divided into the North America, Europe, Asia-Pacific, and Rest of the World. North America consists of US and Canada. The Europe Federal Edge Computing market comprises of Germany, France, the UK, Italy, Spain, and the rest of Europe. The Federal Edge Computing market in Asia-Pacific has been segmented into China, India, Japan, Australia, South Korea, and the rest of Asia-Pacific. The Rest of the World Federal Edge Computing market comprises of Middle East, Africa, and Latin America.

The North America federal edge computing market dominated this market in 2022 (45.80%). Microsoft Azure, Web Services, and Google Cloud are the three major North American-based cloud service providers. It is also believed that all important technological developments, including as 5G, autonomous driving, blockchain, gaming, and artificial intelligence, started in this region. This area of the globe is known for being among the first to employ recently developed technologies.

Moreover, Europe federal edge computing market accounted for the healthy market share in 2022. Several European countries, including the United Kingdom, are currently in the testing phase of 5G technology. For instance, as part of its 5G trial in the MediaCity UK technological cluster, Vodafone is running tests in cities like Glasgow, Birmingham, Liverpool, Bristol, Cardiff, London, and Manchester.

Additionally, the Asia Pacific federal edge computing market is expected to register significant growth from 2023 to 2032. China has made good strides in 5G and the edge; a surveillance culture may dictate how technology advances. Western companies like Meta, Apple, Netflix, and Google that have created standards for the use of personal data to target advertisements have altered the global digital economy.

Furthermore, the rest of the world's federal edge computing market is divided into the Middle East, Africa, and Latin America. Government agencies in Latin America are turning to edge computing to enhance data security and responsiveness. Federal edge solutions empower rapid responses to critical events, improving the efficiency of public services. Latin American federal agencies are investing in edge computing to better serve their citizens.

Key Findings of the Study

• The global federal edge computing market is expected to reach USD 1.9 Billion by 2032, at a CAGR of 12.4% during the forecast period.


• The Asia-Pacific region accounted for the fastest-growing global market In terms of 5G and the edge, China has made good progress; a surveillance culture might determine how technology develops.


• Based on organization size, the large enterprises segment was attributed to holding the largest market in 2022.


• CISCO, AWS, DELL TECHNOLOGIES, GOOGLE,HPE (US), Huawei (China), IBM (US), Intel (US), Litmus Automation (US), Microsoft (US), Nokia (Finland), ADLINK (Taiwan), Axellio (US), Capge (US), Fastly (US), StackPath (US), Vapor IO (US), GE Digital (US), Moxa (Taiwan), Sierra Wireless (Canada), Juniper Networks (US), EdgeC (Israel), Edge Intelligence (US), Edgeworx (US), Sunlight.io (UK), Mutable (US), Hivecell (US), Section (US), and EdgeIQ (US).