Managing a handful of connected devices is straightforward. Managing thousands, or even millions, of them across different countries, carriers, and use cases is a different job entirely. IoT SaaS and IoT PaaS are two different cloud models that help teams take on that fleet-management problem, and cellular connectivity is a separate layer that sits alongside both. According to IoT Analytics, the world had 18.5 billion connected IoT devices in 2024, a figure projected to reach 21.1 billion in 2025 and 39 billion by 2030.
That growth is why cloud platforms for IoT keep maturing. Below, we explain what IoT SaaS is, how it differs from IoT PaaS and the wider IaaS, PaaS, and SaaS models, the benefits it brings, what to evaluate before you commit, and how to choose across all three layers.
What is IoT SaaS?
IoT SaaS is a ready-to-use application for connecting, monitoring, and managing fleets of IoT devices. You work through a graphical interface, with no code to write and no infrastructure to manage. Microsoft Azure IoT Central is a clean example: you provision devices, view dashboards, and automate workflows without standing up your own servers, databases, or tooling. That model lets teams start small and scale as their deployment grows.
This is different from IoT PaaS. IoT SaaS gives you a finished application to configure and use, while IoT PaaS gives developers building blocks, APIs, and SDKs to build a custom application from the ground up. Because the SaaS vendor runs the infrastructure and ships updates, your team can focus on the product rather than the plumbing.
The category is growing quickly. According to Spherical Insights , the global IoT SaaS market is projected to grow from 52.4 billion USD in 2025 to 215.6 billion USD by 2035, at a 15.19% CAGR. Treat that figure as one estimate among many, because market-size numbers vary widely depending on which research firm you ask and how each one defines the market.
IaaS, PaaS, and SaaS for IoT: what's the difference?
The three cloud service models differ by how much of the technology stack the provider runs for you. With IaaS you rent raw infrastructure and build almost everything on top. With PaaS you get developer building blocks, APIs, and SDKs, and you build a custom application on them. With SaaS you use a finished application and manage little beyond your own configuration and data.
IoT SaaS and IoT PaaS are commonly confused, but they solve different jobs. IoT SaaS hands you a finished, no-code application to run your fleet, while IoT PaaS hands developers the building blocks, APIs, and SDKs to build a custom application and connect raw hardware. Connectivity management platforms, like Hologram, sit alongside both as a separate layer that keeps devices online, and they are not a substitute for either one.
Benefits of IoT SaaS
Centralized management
A central platform lets you see and control an entire device fleet from one place. That single view makes pinpointing and fixing challenges far faster, because you are not stitching together data from separate tools. Administrators can push configuration changes, watch device health, and act on issues without touching each device by hand.
Scalability
IoT SaaS platforms let companies bite off exactly as much as they can chew, then grow on demand. You can add devices, users, and data volume without buying and provisioning new hardware yourself. That elastic model suits deployments that start as a pilot and expand across regions.
Faster time to market
Because the vendor already runs the infrastructure, you skip the long build phase and get to a working deployment sooner. Teams can prototype, test, and launch on a platform that is ready on day one. That speed lets smaller teams compete with larger ones.
Latest versions
Vendors maintain and update the platform, so you always work with current features and security patches. Updates roll out centrally, which means every device and user benefits without a manual upgrade cycle. Your team spends less time maintaining software and more time building your product.
What to look for in an IoT platform
IoT platforms span hundreds of products across these categories, so it helps to evaluate each against a consistent checklist. For a deeper walkthrough, see our guide on how to choose an IoT platform. The criteria below are a strong starting point.
Security and privacy
IoT has real security considerations, and a strong platform builds in protections so devices stay authenticated and data stays encrypted. Look for features like role-based access, encrypted connections, and clear audit trails. On the connectivity layer, private cellular networking keeps device traffic off the public internet, which adds a dependable line of defense for sensitive deployments.
Accessible data management
Your platform should make device and connectivity data easy to reach and act on. Good data management means well-organized records, straightforward exports, and APIs that let your systems pull what they need. The easier it is to get to your data, the faster your team can make decisions.
Real-time analytics
Real-time analytics turn raw device signals into insight you can act on immediately. Strong platforms surface metrics on usage, health, and performance as events happen, not hours later. To go deeper on this topic, see our overview of IoT analytics.
Integration-friendly
No platform works in isolation, so integrations matter. Look for documented REST APIs, webhooks, and connectors that let the platform fit into your existing systems and workflows. The more openly a platform integrates, the easier it is to build around.
Clear reporting
Concise, easy-to-understand reporting keeps everyone aligned, from engineers to finance. Reports should present usage, costs, and device status in a form your whole team can read without a translator. Clear reporting also makes it simpler to spot trends and plan ahead.
The best IoT platforms in 2026
The table below groups current options by category, along with a note on where each one stands in 2026.
One distinction is worth calling out. IoT SaaS and IoT PaaS data platforms, like Microsoft Azure IoT Central, AWS IoT Core, or Azure IoT Hub, host and act on device data, while cellular connectivity providers like Hologram keep devices online. They solve different layers of the stack, and they are commonly used together in the same deployment. Hologram does not host or manage the data your devices generate. It manages the cellular connectivity those devices depend on, which is why it sits in its own category rather than alongside either IoT SaaS or IoT PaaS data platforms.
Where Hologram fits
As device fleets scale across borders, dependable connectivity becomes the foundation everything else sits on. Hologram provides reliable global cellular coverage across more than 190 countries with over 550 carrier networks, so devices stay connected as they move and as deployments expand. That multi-carrier reach is backed by Outage Protection SIMs, which use a dual-core design to deliver a contractual 99.95% uptime SLA.
Teams manage all of it through the dashboard, a single source of truth for real-time SIM fleet management with bulk actions, data limits, a REST API, and secure device tunneling. For fleet-scale control, SIM orchestration with Conductor adds policy-based profile switching, network routing, and automated provisioning. Pair that connectivity layer with the data-hosting IoT platform of your choice, and you have a stack that covers both how devices connect and what you do with their data.
FAQs
IoT SaaS is a ready-to-use application for connecting, monitoring, and managing fleets of IoT devices. You work through a graphical interface, with no code to write and no infrastructure to manage, and Microsoft Azure IoT Central is a clean example.
They are not the same. IoT SaaS is a finished, ready-to-use application you configure through a graphical interface, with no code to write, and Microsoft Azure IoT Central is a clean example. IoT PaaS gives developers building blocks, APIs, and SDKs to build custom applications and connect raw hardware, and AWS IoT Core and Azure IoT Hub are examples.
Focus on security and privacy, accessible data management, real-time analytics, open integrations, and clear reporting. Match each against how your fleet actually operates, including where your devices are deployed and how they connect.
A data-hosting IoT platform stores and processes the data your devices generate, while a connectivity provider keeps those devices online. They solve different layers of the stack, so many deployments use both together.
