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Top 60 IoT Edge Platforms SaaS Companies in May 2026

As of May 2026, there are 60 SaaS companies in IoT Edge Platforms. They have combined revenues of $360.1M and employ 2.3K people. They have raised $120.8M and serve 150K customers combined.

IoT Edge Platforms refer to a computing architecture designed to enable data processing and analysis closer to the source of data generation, particularly in Internet of Things (IoT) environments. These platforms facilitate real-time data processing, which is vital for applications requiring low latency, such as industrial automation, smart cities, and connected vehicles. By processing data at the edge, organizations can optimize bandwidth usage, reduce latency, and enhance responsiveness in critical applications.

Companies
60
Revenue
$360.1M
Funding
$120.8M
Employees
2.3K

Filters

Sorting: Highest -> Lowest

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Top IoT Edge Platforms Companies

Showing 10 of 21 companies ranked by annual revenue.

1
Pilot AI

Palo Alto, California, United States

We're building a deep-learning based computer vision platform to solve real problems directly on compute-constrained embedded devices. We're working with some of the largest consumer electronics and chip companies. We're profitable, are backed by top VCs, and are HIRING! If you're interested in helping us ship great products with our customers that are used every day by millions of people around the world, drop us a line at [email protected]

Revenue
$990K
Customers
-
Year founded
2015
Funding
-
Team size
9
Growth
-
2
SIPazon

Tyresö, Stockholm County, Sweden

SIPazon is a SIP compatible headend communication and IoT platform for all types of projects or applications from a single door entry intercom to the most complex and demanding projects like airport or prison systems. Thanks to standard SIP protocol and SIPazon’s full featured design and flexibility, SIPazon can suit different application scenarios for Edge, Fog and Cloud. Contrary to a PBX, SIPazon offers dedicated features for Intercom and Public Address systems beyond the standard offering of SIP protocol.

Revenue
$880K
Customers
-
Year founded
2020
Funding
-
Team size
8
Growth
-
3
Objectbox

Berlin, Germany

We enable Edge Computing

Revenue
$688.4K
Customers
150K
Year founded
2015
Funding
$2M
Team size
5
Growth
12.18%
4
Grovf

Berkeley, California, United States

Developer of hardware and software products designed to assist industrial Internet of Things and Big Data problems. The company offers an accelerated time series database for IoT data storage where smart sensors data pass directly from Ethernet adapter bypassing any type of operating systems and software layers, enabling industrial customers to solve IoT generated Big Data storage problems.

Revenue
$683.8K
Customers
-
Year founded
2017
Funding
-
Team size
31
Growth
78.62%
5
WICASTR

London, England, United Kingdom

Developer of a content distribution platform designed to facilitate the deployment of edge clouds made to run applications locally and in real time. The company's platform brings computing capabilities near the data source creating ultra-reliable and low latency network infrastructure, enabling organizations to reduce latency and improve business applications performance easily.

Revenue
$681.4K
Customers
-
Year founded
2014
Funding
-
Team size
3
Growth
90.57%
6
Alp Lab Edge-AI

Sweden

Scalable AI , Smarter Edge

Revenue
$660K
Customers
-
Year founded
2020
Funding
-
Team size
6
Growth
-
7
X-CITE S.A.

Luxembourg, Luxembourg, Luxembourg

We merged the IoT & AI SYSTEM ENABLER and DESIGN HOUSE view, creating a unique positioning to enable private and public clients ’cross industries to deploy IoT, AI & 5G solutions in a reliable way, “Out of the Box”. Regrouping multiple expertise – IoT, Cloud technologies, Mass data, AI, ML, Security, NG telco networks incl. 5G & xPON, automatization - our offer is unique! From idea generation, over fast prototypes, POCs’, followed by large implementations using X-BRAiN as a Connectivity, Mass-data and AI Accelerator incl. NEF-SCEF 5G integration. X-CITE is official Google Cloud partner. Our aim is to build a library of +200 AI & 5G use cases covering the most essential verticals, allowing our multi-disciplinary teams together with customers to rapidly formulate ideas or use-cases and implement them in X-BRAiN with low TTM. X-BRAiN uses ML and AI algorithms to address IoT and its associated problems, all available in a subscription model. Our Foundational Technology Platform is blockchain enabled. Learn more on www.x-brain.io Our offer includes a growing Edge hardware portfolio integr. with X-BRAiN and available in subscription model. It includes a world first advanced 5G Google Coral Module which can be mounted straight on devices including Drones; modular 4G LTE Cat. M1/Cat. NB2/EGPRS & GNSS high-speed Tracker and environmental Sensor, NB1/NB2 and M1 cellular LPWAN vehicle and health tracker. We are accelerating our move to a Digital Business Platform model and open-up X-BRAiN to developers that can make more of the data, assets, and services available – Become part of our “Firestarters” developer community. We design and build your future IoT, AI, 5G and circular economy strategy and products. X-CITE is headquartered in Luxembourg, with offices in Munich and Belgrade and strong links to UK.

Revenue
$660K
Customers
-
Year founded
2018
Funding
-
Team size
6
Growth
-
8
Virtual Minds

Munich, Bavaria, Germany

Our Next Generation Device Healthcare conceptual architecture has actually moved device support where it belongs, onto the device being supported providing effective and quicker problem detected, often before the end user is even aware of them and resolved efficiently, without disturbing the end user.

Revenue
$660K
Customers
-
Year founded
2001
Funding
-
Team size
6
Growth
-
9
DataShapes, Inc.

San Francisco, California, United States

Real-time unstructured data transformation and inference at the edge or in the cloud, SaaS platform providing data management services.

Revenue
$610.7K
Customers
-
Year founded
2018
Funding
$11M
Team size
15
Growth
51.25%

Inclusion Criteria

- Must enable real-time data processing at or near the source of data generation. - Should support a range of IoT devices and protocols for seamless integration. - Must provide analytics capabilities to generate insights from collected data. - Should include features for remote device management and monitoring. - Not just basic connectivity; must also enable sophisticated data processing and management workflows. - Must ensure security and privacy of data both in transit and at rest. - Should have scalability to accommodate growing numbers of IoT devices and data traffic.