Report ID: SQMIG45M2026
Skyquest Technology's expert advisors have carried out comprehensive research and identified these companies as industry leaders in the Edge Computing Market. This Analysis is based on comprehensive primary and secondary research on the corporate strategies, financial and operational performance, product portfolio, market share and brand analysis of all the leading Edge Computing industry players.
The growth of the global edge computing market is propelled by several factors, including the rapid proliferation of Internet of Things (IoT) devices, rising demand for low-latency data processing, and increasing demand for real-time analytics in enterprises across industries. Organizations are generating massive amounts of data from connected sensors and devices, and edge computing facilitates faster data processing and decision-making by transferring the compute process closer to the data source ultimately leading to reduced bandwidth usage and improved response times.
According to SkyQuest Technology “Edge Computing Market By Product Type (Hardware, Software, Services, Edge-Managed Platform), By Organization Size, By Application, By End User, By Region - Industry Forecast 2025-2032,” Global Edge Computing Market is projected to grow at a CAGR of over 32.2% by 2032, on account of urgent need for automating quantified data. The accelerating growth in the uptake of technologies like autonomous vehicles, smart cities, industrial automation and 5G networks drives growth in the market as such applications need ultra-low latency and high-speed computing. Concern around data privacy and protection encourages organizations to process and analyze data locally with edge nodes, and on-site rather than push analytics into centralized cloud computing infrastructure.
|
Company |
Est. Years |
Headquarters |
Revenue (2024) |
Key Services |
|
Microsoft Corporation |
1975 |
Redmond, Washington, USA |
USD 245 billion (2024) |
Edge/Hybrid cloud through Azure Stack Edge, IoT Edge, bringing compute/AI to edge sites |
|
Amazon Web Services, Inc. (AWS) |
2006 |
Seattle, Washington, USA |
USD 638 billion (2024) |
Edge computing via AWS Outposts, Wavelength (5G edge), Snow Family (rugged edge devices) for low-latency and remote sites |
|
Google LLC / Alphabet Inc. (Google Cloud) |
1998 |
Mountain View, California, USA |
USD 317.9 billion (2024) |
Google Distributed Cloud (GDC), Anthos at the edge, Edge TPU hardware and telco/5G edge partnerships |
|
NVIDIA Corporation |
1993 |
Santa Clara, California, USA |
USD 60.9 billion (2024) |
Edge AI compute: Jetson modules for embedded AI/edge, EGX/IGX platforms for enterprise/industrial edge workloads |
|
Hewlett Packard Enterprise Company (HPE) |
2015 |
Spring, Texas, USA |
USD 30.5 billion (2024) |
Edge infrastructure platform: HPE GreenLake + Edgeline systems deliver compute & storage at edge environments; hybrid IT/OT use cases |
|
Cisco Systems, Inc. |
1984
|
San Jose, California, USA |
USD 53.8 billion (2024) |
Networking + edge intelligence: industrial routers/gateways, Edge Intelligence software, secure IT/OT integration at the network edge |
|
Dell Technologies Inc. |
2016
|
Round Rock, Texas, USA |
USD 88.5 billion (2024) |
Edge hardware & infrastructure: rugged edge servers, edge gateways, NativeEdge platform for distributed deployments in retail, manufacturing |
|
Intel Corporation |
1968 |
Santa Clara, California, USA |
USD 55.2 billion (2024) |
Edge compute silicon & software: CPUs, FPGAs, AI accelerators tailored for edge workloads; enabling edge-AI & IoT platforms |
|
Huawei Technologies Co., Ltd. |
1987 |
Shenzhen, China |
USD 118.2 billion (2024) |
End-to-end edge & telecom infrastructure: edge servers, IoT devices, intelligent edge computing platforms for smart cities/transport/utilities |
|
IBM Corporation |
1911 |
United States |
USD 62.75 billion (2024) |
Hybrid cloud & software solutions (cloud-infrastructure, AI & analytics, security, enterprise software) covering multiple industries |
Founded in 1975, Microsoft Corporation is based in Redmond, Washington, USA. Microsoft is an international leader in technologies such as software, hardware, cloud computing, and AI-based services. In edge computing, Microsoft provides Azure Edge and Azure Stack as tools to augment intelligence in the cloud at the places where data is being created.
Founded in 2006, and headquartered in Seattle, Washington, USA, Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon.com, Inc. and the largest provider of cloud services in the world. AWS is a substantial actor in edge computing through its AWS Outposts, AWS Wavelength, and AWS Snow Family services, which extend AWS infrastructure and services through on-premises and remote locations.
Founded in 1998, Google LLC is a subsidiary of Alphabet Inc. and is based in Mountain View, California, USA. Google, through Google Cloud, offers sophisticated edge computing through Google Distributed Cloud, Anthos, and various AI-driven data analytical tools, which supply computing, storage, and machine learning to edge environments, allowing enterprises to process and analyze data locally.
NVIDIA Corporation was established in 1993 and is located in Santa Clara, California, USA. As a global leader in graphics processing units (GPUs) and artificial intelligence (AI) computing, NVIDIA's edge computing solutions leverage the NVIDIA Jetson and NVIDIA EGX platforms for AI workloads at the edge.
Hewlett Packard Enterprise (HPE) was incorporated in 2015 following its spin-off from HP Inc. HPE is located in Houston, Texas, USA. HPE offers a wide portfolio of edge-to-cloud infrastructure and services leveraging its Aruba Edge Services Platform (ESP) and HPE GreenLake for Edge Computing. HPE GreenLake helps organizations process and share data locally to provide insight and increase operational efficiency.
Cisco Systems, Inc. was founded in 1984 and is located in San Jose, California, USA. Cisco is a leading provider of networking, cybersecurity, and IT infrastructure, with a significant presence in edge computing. Cisco Edge Intelligence, Cisco IoT Control Center, and Cisco IOx allow data to be processed and analyzed at the edge in real time.
Dell Technologies was established in 2016 and has its headquarters in Round Rock, Texas, USA. The company is a provider of extensive IT infrastructure solutions, such as servers, storage, cloud and edge platforms. It also offers cutting-edge edge computing solutions, such as Dell NativeEdge, PowerEdge XE servers, and Streaming Data Platform, enabling enterprises to deploy and administer edge workloads.
Intel Corporation was founded in 1968 and operates from its headquarters in Santa Clara, California, USA. Intel is a global leader in semiconductor manufacturing and computational innovation. As a result of technologies applied in edge computing, Intel is responsible for supplying processors, AI accelerators, and connection solutions that will power edge devices and gateways.
Huawei Technologies was founded in 1987. It has its headquarters in Shenzhen, China. The company is a key global telecommunications and ICT infrastructure player, supplying a broad range of edge computing solutions through their proprietary Huawei Cloud Edge Computing and Atlas AI Computing platforms.
IBM Corporation was founded in 1911. The company's headquarters is in Armonk, New York, USA. IBM has historically been at the forefront of hybrid cloud and AI technologies through their edge computing capabilities using IBM Edge Application Manager and IBM Cloud Satellite is enabled. This capability enables secure deployment and management of applications in thousands of distributed locations.
The global edge computing market is experiencing significant expansion as organizations continue to emphasize real-time data processing, low-latency connectivity, and decentralized computing, as well as architectures. The ongoing convergence of 5G networks, artificial intelligence (AI), and the Internet of Things (IoT) is driving the adoption of edge across manufacturing, healthcare, automotive, and smart cities. As organizations further embrace a digital-first approach to their operations and workflows, edge computing is being recognized as a critical facilitator of automation, predictive analytics, and effective decision-making at the data source.
REQUEST FOR SAMPLE
Want to customize this report? This report can be personalized according to your needs. Our analysts and industry experts will work directly with you to understand your requirements and provide you with customized data in a short amount of time. We offer $1000 worth of FREE customization at the time of purchase.
Feedback From Our Clients
Report ID: SQMIG45M2026
sales@skyquestt.com
USA +1 351-333-4748