18 Best Edge Computing Companies In 2025

Edge computing is a new and enhanced version of network architecture that surpasses the benefits of conventional cloud computing.

The term “edge” means literal geographic distribution. It is computing that’s done at or near the physical location of either the data source or the user. In other words, edge computing processes data locally rather than relying on multiple cloud data centers.

The goal is to shift the computation from data centers to the edge of the network, exploiting smart devices or network gateways to process data on behalf of the cloud. It can improve persistent data storage, content caching, and service delivery, resulting in faster transfer rates and response times.

It doesn’t mean the cloud architecture will become obsolete. It simply means the cloud is coming to you. By processing the data at or near its source, users benefit from reduced latency, improved speed, and more reliable and secure services. Meanwhile, companies benefit from the flexibility of hybrid cloud computing.

In recent years, several tech giants have invested heavily in new edge computing technologies and startups that aim to add value to the ecosystem. We have gathered some of the thriving edge computing companies that are working to bring enterprise applications closer to data sources such as local edge servers and IoT devices.

Did you know?  

Some of the most prominent use cases of edge computing include predictive maintenance and remote monitoring. These applications are rapidly gaining traction — particularly in industrial automation, which has witnessed a remarkable CAGR of approximately 50.9%. 

10. SolidRun

Founded in 2010
Headquartered in Acre, Israel
Products: System-on-Modules, Single Board Computers, Mini PCs
Competitive Edge: Compact, fanless, rugged edge devices

SolidRun is a well-known player in the embedded systems and edge computing industry. It develops system-on-modules (SoMs), single-board computers (SBCs), and fanless mini PCs tailored for industrial and IoT use cases. 

The company leverages powerful ARM-based and x86 architectures, including NXP’s i.MX series, Marvell ARMADA processors, and AMD Ryzen Embedded chips. These hardware platforms power SolidRun’s versatile lineup of modular and scalable edge solutions.

Whether it’s real-time processing for smart factories or AI inference at the edge in transportation and surveillance, SolidRun delivers the right form factor, performance, and energy profile. Many of its products are open-source friendly and support leading Linux distributions and software development kits, allowing engineers to quickly deploy applications. 

With recent innovations like the V3000 Mini‑ITX and industrial HummingBoards, SolidRun continues to hold a distinct niche in edge computing markets.  

9. Gcore

Founded in 2014
Headquartered in Contern, Luxembourg
Products: CDN, Edge Cloud, AI Cloud
Competitive Edge: AI Edge integration, Flexible compute stack

Gcore provides customers with a unified platform that blends computing, storage, CDN, DDoS protection, WAF (Web Application Firewall), and AI cloud services. It is often compared to global infrastructure players like Akamai and Cloudflare, but differentiates itself with highly customizable services and competitive pricing. 

The company operates a massive global infrastructure with over 180 points of presence (PoPs) across more than 50 cloud locations. This expansive edge network supports Gcore’s mission to enable real-time data processing, content distribution, AI inferencing, and secure application hosting at the edge of the network. 

At the core of Gcore’s DNA lies edge-first architecture, highlighted by its FastEdge serverless edge platform, powered by WebAssembly, which delivers ultra-low latency (average ~30 ms) and microsecond cold starts. 

It is especially popular among video streaming platforms, gaming firms, fintech providers, and e-commerce businesses that require fast, secure, and global reach.

8. ClearBlade

Founded in 2007
Headquartered in Ontario, Canada
Products: Edge IoT Platform, Intelligent Assets Application
Competitive Edge: Deep enterprise & industry integrations (rail, mining, healthcare)

ClearBlade is an Edge computing software firm that enables organizations to design and execute secure, scalable IoT applications quickly. It offers a full-featured platform for the rapid development of complicated apps.

This platform allows developers to analyze and modify data in real-time and at an extreme scale. Developers can leverage local computing, machine learning, and detailed visualizations to unleash the data at the edge while integrating with enterprise systems.

What sets ClearBlade apart? 

• It focuses on the Edge: The faster, cost-efficient, and more reliable alternative to IoT based on shared cloud services.
• Compatible with multiple clouds: The platform can be quickly deployed on any cloud without requiring a complete rebuild.
• Provides industry-specific solutions: This gives you a head start and countless paths to refine and customize.
• Tight security: The platform allows you to develop an expansive IoT without worrying about security threats.

Its IoT software platform can deploy a common software stack across the board. Developers can utilize the code wherever needed. Build in the cloud, push to the edge, or create independent edge applications and core functions close to users/customers.

7. EdgeConneX

Founded in 2009
Headquartered in Northern Virginia, Amsterdam, and Singapore
Products: Edge Data Center, Far Edge Data Center
Competitive Edge: Strong interconnection & green data center credentials

EdgeConneX is the global data center provider that allows its customers to develop and deploy their own unique vision for the Edge at any scale. It delivers proximate data center solutions ranging from 40 kW to 40 MW, making it easier for customers to meet the growing demands of their businesses and their end-users.

Since 2013, the company has built more than 80 data centers and several hyperscale solutions across North America, South America, and Europe. These solutions are built for anyone who needs to deploy latency-sensitive and bandwidth-intensive applications. Some use cases include Virtual/Augmented Reality, Artificial Intelligence, Immersive gaming, Commercial IoT, Automated vehicles, Real-Time video analytics, Reimagined retail, and more.

EdgeConneX also provides self-service management so customers can get insights into every aspect of data center operations across all facilities — all from a single dashboard. More specifically, customers can manage all facilities through a single online operating system named EdgeOS, see real-time statistics, adjust security settings, and submit trouble tickets.

6. Vapor IO

Founded in 2015
Headquartered in Southern US
Products: Kinetic Grid Platform, Edge-to-Edge Intelligence
Ideal for: Ultra-low latency, near-premise compute use cases

Vapor IO offers an intelligent, hyper-modular data center solution. It eliminates complex structures and parking lot data centers, significantly lowering CapEx and OpEx costs.

The company has developed a centralized system of intelligent data centers and networking infrastructure. It’s called Kinetic Grid. It delivers edge capabilities in particular fields, along with backbone connectivity between markets.

How does it work?

Vapor IO deploys high-performance data centers at the edge of the last-mile networks. The company then leases these low-capacity devices to its customers, including content delivery networks, cloud operators, and communication services providers.

Customers deploy storage systems, servers, and applications within Vapor IO facilities. They utilize the company’s proprietary networking technologies to edge-enable their services.

The Kinetic Edge architecture and Kinetic Grid platform, for example, are built to deliver critical services consistently and reliably across thousands of edge locations. They provide real-time telemetry for critical systems and have APIs to support remote configuration and autonomic operations.

Plus, the edge-to-edge interconnection and edge-to-edge intelligence are engineered to support users across several geographies while minimizing the cost and complexity. 

5. NTT

Founded in 1952
Headquartered in Tokyo, Japan
Products: SDPF Edge, Smart Data Platform
Competitive Edge: Industrial and mission‑critical focus

Originally established as a government entity, Nippon Telegraph and Telephone (NTT) Corporation was privatized in 1985. Since then, the corporation has formed new subsidiaries, developed products and services for various markets, and created efficient edge technologies.

The NTT DATA Edge Computing Solution, for example, allows manufacturers to create a fully automated and more agile production facility by integrating devices and assets at the edge of the network. It combines the advantages of cloud-based resources with the security and responsiveness of edge devices, enabling efficient data storage and improved processing of large datasets and machine learning applications.

This Computing Edge Solution supports

• Big Data processing
• Predictive analysis
• Anomaly detection
• IoT services
• End-to-end cloud integration
• Data visualization via an intuitive dashboard

It can also be merged with SAP S/4HANA to extend the capabilities of conventional Enterprise Resource Planning platforms used in various industries. These extended capabilities open new avenues for smartly managing the huge volume of data produced at the network edge.

4. Affirmed Networks

Founded in 2010
Headquartered in Massachusetts, United States
Products: Virtual Evolved Packet Core, Affirmed Mobile Edge Computing
Competitive Edge: Integrates into Microsoft’s Azure for Operators

Affirmed Network provides fully virtualized, cloud-native mobile solutions that allow operators to manage complex traffic and operations more efficiently. It also makes it easier to plan and develop new profit-generating services.

The company has developed virtualized Evolved Packet Core (vEPC) for mobile network operators to keep up with traffic demand, scale networks, and deliver services tailored to certain use cases such as fixed wireless, WiFi, VoLTE, edge computing, and 5G services.

Their mobile core solutions can be deployed on a wide range of industry off-the-shelf hardware. So far, the company has deployed more than 100 operator networks worldwide, helping them upgrade to NFV-based architectures and realize outstanding returns.

Key Facts

• Global presence with 100+ customer deployments in 90+ countries
• Mobile service providers achieve a 90% reduction in OpEx and 60% in CapEx savings
• Open NFVI architecture eliminates vendor lock-in

In 2020, Microsoft acquired Affirmed Networks to offer innovative solutions tailored to the specific requirements of operators. Both companies are now working closely to deploy and maintain 5G networks and services more rapidly and securely.

3. ADLINK Technology

Founded in 1995
Headquartered in Taiwan
Products: ADLINK Edge IoT, Edge SDK
Competitive Edge: Industrial-grade reliability across sectors like automation, energy, & healthcare

ADLINK Technology designs and manufactures a wide range of embedded computing products and test and measurement systems. Its products include CompactPCI, AdvancedTCA, computer-on-modules, PCI Express-based data acquisition, and I/O for industrial applications. It sells to original equipment manufacturers and system integrators.

Their solutions drive data-to-decision applications across sectors. The company benefits multiple industries, including infrastructure, mining, security, medical, manufacturing, agriculture, defense, telecommunication, and gaming.

Benefits of ADLINK Solutions

• Ready for production: Simply deploy applications and see real-time results
• A low-code approach to support hardware and software infrastructure
• Modular architecture for greater flexibility in deployments
• Extend applications with additional sensor types and cloud systems

The company is the Premier Member of the Intel IoT Solutions Alliance. It actively participates in many standards organizations and interoperability initiatives, such as the Open Compute Project, the Standardization Group for Embedded Technologies, and the PCI Industrial Computer Manufacturers Group.

2. Akamai

Founded in 1998
Headquartered in Massachusetts, United States
Products: ADLINK Edge IoT, Edge SDK
Competitive Edge: Performance, security, and AI/workload acceleration

Akamai Technologies is a cybersecurity, content delivery network, and cloud service company. It manages thousands of servers worldwide and rents out resources on these servers to customers who want to improve the performance of their applications by hosting content near the end-user.

To date, Akamai has deployed over 365,000 servers in more than 135 countries. They have also developed an Intelligence Edge Platform to gather real-time data on traffic, including congestion and defective spots, and process requests from nearby users.

This intelligent edge platform also allows developers to leverage the benefits of serverless computing and build and enhance new digital experiences.

Key Capabilitie

• Detailed reporting and new code editor within Akamai Control Center
• Log Delivery Service for debugging and troubleshooting
• Optimizes image and video content at the edge

Recently, the company added new capabilities to its Edge Platform, making it easier to build new microservices and manage image/video delivery at the edge. They also updated the API to manage Cloudlet apps with quicker deployment and response times.

1. Intel

Founded in 1968
Headquartered in California, United States
Products: Edge Clouds and Servers, Edge Software Hub, Edge-Centric FPGAs
Competitive Edge: Full-stack, open and optimized edge-to-cloud ecosystem

From hyper-converged data centers to base stations, Intel provides a comprehensive portfolio of edge-ready compute, connectivity, and storage solutions globally. Its performance hybrid architecture, powered by Intel Thread Director, enables intelligent workload optimization for enhanced efficiency and responsiveness.

The new enhanced IoT processors combine Efficient-cores and Performance-cores to improve single-thread throughput, task management, and multithread throughput. They are designed to support advanced analytics and real-time AI at the edge with plenty of options that balance performance and power.

Intel’s Optane Solid State Drives distribute edge data to AI pipelines in real-time, while Optane persistent memory powers low-latency data transfer.

Intel Hardware and Technologies for Edge Devices

• Intel Core and Atom processors for low-power edge devices
• Intel Movidius Vision Processing Units enhance AI workloads
• Intel Xeon processors bring complex data processing and AI capabilities close to the point of data generation.
• Intel Security Technologies keeps personal and sensitive data safe

The company also provides software packages, including computer vision and machine learning applications, to optimize edge solutions for Intel architecture. These tools simplify the integration of data analytics on edge compute nodes, enable efficient distribution of time-series analytics across CPUs and GPUs, and support the simultaneous execution of multiple workloads within containerized analytics pipelines.

Tech Giants Working On Edge Computing

11. IBM

Products: Edge Application Manager, Cloud Pak for Data and Network Automation
Competitive Edge: Edge AI + IBM Watson integration, Custom hardware + Open Standards support

IBM extends its autonomous management capabilities to address scalability, variability, and the rate of change in edge environments. It also provides solutions to communications organizations, helping them improve their networks and distribute services at the edge. These edge solutions run on an open hybrid multi-cloud platform called Red Hat OpenShift.

IBM Edge Application Manager enables administrators and developers to reduce data transport to central hubs, minimizing vulnerabilities, disruption, and costs during application deployment.

IBM has also developed tools with specialized network capabilities. The Cloud Pak Network Automation, for example, can deliver 5G and other edge computing services faster and in a more reliable way. It also gives you detailed insights into how processes run and helps you visualize defects and prioritize actions.

12. Hewlett Packard Enterprise

Products: HPE Edgeline, Aruba ESP
Competitive Edge: Edge-to-Cloud continuity via HPE GreenLake

Hewlett-Packard Enterprise (HPE) is developing a broad range of products and services to help industries explore and unlock the capabilities of edge computing. HPE EdgeLine, for instance, allows companies to enhance their operational agility, add mobility, increase revenue, and minimize risk.

The Edgeline platform embeds open standards-based OT data acquisition and control techniques into the IT system responsible for delivering fast and secure services. This type of integration further decreases the latency between acquiring data, analyzing it, and acting on it.

HPE is working with numerous telecommunications companies, healthcare networks, and reputable organizations, including Purdue University. Their projects range from helping a chemical manufacturer with data-driven insights to enabling a more seamless healthcare experience. Overall, HPE edge solutions help customers focus on innovations of their own making.

13. Amazon

Product: AWS for the Edge
Competitive Edge: Robust security & compliance, Developer ecosystem and tooling

AWS Edge is designed to deliver services with the lowest latency possible. It moves computation and data processing as close to the endpoint as necessary. This includes migrating hardware and software from AWS data centers to customer-owned devices.

A subset of AWS services utilizes edge locations to deliver fast and responsive responses directly to users.

• CloudFront: uses edge locations to create cache copies of the data
• Route 53: serves DNS responses from edge locations
• AWS Shield: filters traffic in edge locations to remove malicious traffic as soon as possible

AWS has more than 200 integrated device services built for specific edge use cases such as 5G, IoT, hybrid cloud, industrial deep learning, and more. Plus, it offers fully managed services so you can quickly deploy edge applications and scale to billions of devices.

14. Google

In our booth demo at #KubeCon + #CloudNativeCon NA, you can experience how AI-optimized cloud infrastructure and edge hardware deliver a fast and reliable AI-driven customer experience.

Put your skills to the test with this demo → https://t.co/XJUlxvRoTe pic.twitter.com/RD2WfxF5aR

— Google Cloud Tech (@GoogleCloudTech) November 15, 2024

Products: Google Distributed Cloud, Edge TPU
Competitive Edge: Built-in security and Zero Trust edge, Data & Analytics excellence

Google is increasing its bet on edge computing by installing a distributed cloud across multiple locations and modernizing on-premises deployments while meeting regulatory compliance.

The company has introduced a new suite of Edge and on-premise cloud services to compete against Amazon AWS and Microsoft Azure. These services allow organizations to run 5G Core and Radio Access Network functions at the edge (along with business applications) to support time-sensitive use cases.

They are also building hardware to run artificial intelligence and deep learning systems at the edge. Edge TPU, for instance, is designed to deliver high performance in a small footprint at the edge. It complements Google Cloud and Cloud TPU services, providing a cloud-to-edge infrastructure for deploying AI-based applications.

Furthermore, Edge TPU can be beneficial for a wide range of use cases, including voice recognition, anomaly detection, robotics, machine vision, and predictive maintenance. It can be efficiently utilized in smart spaces, retail, healthcare, and manufacturing sectors.

15. Microsoft

Products: Azure IoT Edge, Stack Edge, SQL Edge
Competitive Edge: Unified multi-cloud and edge management, Strong industrial IoT focus

Microsoft is working to combine the massive computing power of the cloud data centers with ever-growing connected and perceptive edge technologies. They have built a comprehensive edge computing platform, called Azure Edge Zones, that brings the power of cloud servers to the last mile.

These zones are nothing but micro data centers owned and managed by Microsoft. They behave as logical extensions of existing networks, supporting virtual machines, containers, and Azure services that run resource-intensive and latency-sensitive apps. The company plans to expand these zones to regions with a high customer density.

Moreover, Microsoft has also developed a robust IoT database that merges capabilities (like time series and content streaming) with artificial intelligence and graph features. It allows developers to create apps and deploy them anywhere across the edge.

Overall, Microsoft is heavily investing in the intelligent cloud (enabled by AI and public cloud technology) for all types of smart applications and systems one can imagine.

16. NVIDIA

Products: Jetson Edge AI modules, EGX
Competitive Edge: Complete hardware-software stack, Rich Developer Ecosystem

While Nvidia remains a cornerstone of the data center and gaming industries, its rapid expansion into edge AI platforms, autonomous systems, robotics, and industrial IoT has placed it at the center of the next-gen edge infrastructure. 

Unlike most competitors, NVIDIA owns the entire AI stack — from silicon and compilers to edge orchestration tools and security. Tools like Fleet Command, GPU Operator, Metropolis, and Holoscan streamline edge deployment, reducing complexity and ensuring compliance. 

At the heart of NVIDIA’s edge computing strategy is its Jetson platform, a series of small, power-efficient modules capable of running real-time AI models locally, without requiring cloud access. These modules are widely used in autonomous machines, smart cities, factory automation, retail analytics, and drones — where low latency and real-time decision-making are paramount.

NVIDIA has also introduced EGX, a GPU-powered edge AI platform that brings cloud-native compute to on-premises environments, including 5G base stations and healthcare facilities. 

17. Qualcomm

Products: Snapdragon SoCs, QCS/QCM Platforms
Competitive Edge: Hexagon DSP/NPU, Industrial-grade SoCs

Qualcomm, best known for its Snapdragon processors and wireless tech, has steadily expanded into the edge computing domain. Building on its core strengths in connectivity and processing, Qualcomm combines compute, wireless, graphics, and AI into compact SoC platforms — allowing real-time inference in smartphones, vehicles, robots, cameras, and smart sensors .

Its AI Engine and Qualcomm Edge Services bring distributed intelligence to the edge, allowing devices to process data locally instead of relying entirely on cloud infrastructure. The company has also developed software frameworks such as GPU tools, Hexagon DSP/NPU, and AI SDKs. These are built to support on-device AI, real-time data analysis, and secure, scalable IoT applications.

Qualcomm is strategically targeting key edge segments, projecting market opportunities of $8 billion in automotive, $4 billion in industrial IoT, and $2 billion in extended reality (XR) by 2029. 

18. Cisco Systems

Products: Cisco IOx, Industrial routers, Meraki Edge
Competitive Edge: Network-embedded edge compute, Security at every layer

In recent years, Cisco Systems has made aggressive inroads into edge computing, aiming to bridge the gap between the enterprise, the cloud, and the increasingly distributed edge. Its approach to edge computing is built on its historical strengths: network routing and switching, cloud-managed infrastructure, and cybersecurity. 

Cisco integrates processing power directly into industrial routers and gateways, allowing AI, ML, and analytics apps to run at the edge without requiring separate compute nodes.

With tools like ThousandEyes and AppDynamics, Cisco provides full visibility from the cloud to the edge, helping improve performance and reduce downtime. Solutions like Cisco Meraki and Cisco IOx let organizations manage and control thousands of edge devices and applications from a single, cloud-based dashboard.

Frequently Asked Questions

What is the difference between edge and cloud computing?

The primary difference between edge computing and cloud computing lies in the location of the server or device where data is processed. Cloud servers are housed in well-maintained data centers, while edge devices are strategically placed closer to the data source to minimize latency and reduce data transmission costs.

Why is edge computing necessary?

The rapid proliferation of IoT devices has led to an exponential surge in data generation — a trend that shows no signs of slowing. Transferring such massive volumes of device-generated data to centralized cloud or data centers can create significant latency and bandwidth challenges. By contrast, processing data closer to the source enables faster, more efficient analysis and significantly enhances user experience.

What are some examples of edge computing?

There are thousands of examples of edge computing use cases; we have chosen a few scenarios where it is most useful:

• Autonomous vehicles that communicate with each other with ultra-low latency
• Real-time monitoring of assets in the oil and gas industry
• Analyses and defect detection in the production lines before a failure occurs
• Virtualized radio networks and 5G
• Smart homes

Read: 5 Different Types Of Data Centers [With Examples]

What is the future of edge computing?

The global edge computing market size is expected to exceed $155.9 billion by 2030, growing at a CAGR of 36.9%. Particular use cases (such as 5G, network function virtualization, and next-generation Cloud Delivery Networks) are expected to play a substantial role in this growth during the forecast period.

Read More 

• 8 Different Types Of Cloud Computing
• 12 Largest Data Centers In The World [By Size]