IoT Platforms & Software

IoT platforms are the central piece in the Internet of Things architecture that connects the real and the virtual worlds to enable communication between objects, manage the data flows, support application development and provide basic analytics for connected IoT devices.

Market Reports: IoT Platforms & Software

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Latest Insights: IoT Platforms & Software

The Top 10 Industrial AI use cases

Dec 6, 2019

IoT Analytics’ recently published the Industrial AI Market Report 2020-2025. As part of the research, the analyst team identified a total of 33 different use cases that employ Artificial Intelligence tools and techniques on (predominantly) IoT-connected data sources and assets of industrial enterprises. These 33 industrial AI use cases have been grouped into 10 broader use case categories which...

Predictive Maintenance Companies Landscape 2019

Oct 8, 2019

Advances in Internet of Things and in Analytics/AI technologies are saving companies billions of dollars on their asset maintenance, according to IoT Analytics’ recent Predictive Maintenance Market Report 2019-2024. The research (performed in early 2019) shows that the number of vendors particularly focusing on Predictive Maintenance has doubled, compared to a similar analysis conducted in 2017....

The 25 best IoT Platforms 2019 – based on customer reviews

Jul 10, 2019

In short New 180-page report on IoT Platforms. IoT Analytics released the 2019 IoT Platform End-User Satisfaction Report, that ranks the best IoT Platforms based on 800+ data points from actual users of various IoT Platforms.4 in 5 users report positive IoT Platform ROI. An overwhelming 80% of users reported positive ROI of their IoT Platform investments, highlighting how viable IoT Platforms...

Predictive Maintenance initiatives saved organizations $17B in 2018, as the number of vendors surges

Jun 20, 2019

ANNOUNCEMENT: Hamburg, Germany - 20th June 2019 // IoT Analytics, a leading provider of market insights & competitive intelligence for the Internet of Things (IoT), M2M, and Industry 4.0, today published a comprehensive 136-page market report on the current state of Predictive Maintenance (PdM), titled “Predictive Maintenance Report 2019-2024”. Some of the key findings include: Significant...

Industrial IoT Platforms for Manufacturing market to become a $12.4B opportunity by 2024, driven by deployments in discrete manufacturing environments

Apr 30, 2019

PRESS RELEASE: Hamburg, Germany - 30 April 2019 // IoT Analytics, a leading provider of market insights & competitive intelligence for the Internet of Things (IoT), M2M, and Industry 4.0, today published a comprehensive 155-page market report on Industrial IoT Platforms for Manufacturing 2019-2024. The research uncovers that the Industrial IoT Platforms market is accelerating in 2019 as more...

Selecting the right IoT Platform: 3 best practices you should adopt

Oct 10, 2018

IoT Platform selection: The importance of getting it right Several thousands of enterprises are currently performing their first IoT projects – whether its smart factory, connected car, or smart energy – most of them now consider using a modular IoT software platform to manage the data flows, support application development and provide basic analytics. This promises lower cost, faster time...

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Our View On IoT Platforms & Software

IoT Software comes in many forms including middleware tools, individual open-source components, custom-made code, and modular IoT platforms that sit in the cloud or at the edge.

An IoT Platform is a specialized software tool that is used for building and managing IoT solutions.

IoT Analytics classifies IoT Platforms into four distinctly different layers that, in total, can consist of up to several components and subcomponents.

The four main layers of an IoT Platform:

Application management/enablement
Data management/enablement
Telco management
Device management

IoT Platforms - definition layers components

Our Lead Expert

Mohammad Hasan

Analyst

Mohammad is part of the data and software team.
Mohammad has previously served as an analyst at Deutsche Bank and WNS (Aviva Investors). He holds a master’s degree in financial engineering, leveraging nine years of experience in technology and financial research.