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.

Latest Insights: IoT Platforms & Software

Predictive Maintenance Market: The Evolution from Niche Topic to High ROI Application

Predictive Maintenance Market: The Evolution from Niche Topic to High ROI Application

In short In just five years, predictive maintenance has moved from an uncertain, standalone niche use case to a fast-growing, high return on investment (ROI) application that is truly delivering value to users. These developments are an indication of the power of the Internet of Things (IoT) and artificial intelligence (AI), and the market is still in its infancy. A new IoT Analytics report...

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The 7 Most Demanded IoT System Integration Services

The 7 Most Demanded IoT System Integration Services

In short Seven focus areas are currently in high demand for IoT system integration and professional services. The focus areas of today are further downstream in the value chain (mostly in the solution design and implementation stages) than in years past. Due to strong demand, many technology vendors are building out their own integration capabilities. Why it matters? Companies offering IoT...

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Cloud MES: How manufacturing software is migrating to the cloud

Cloud MES: How manufacturing software is migrating to the cloud

In short Enterprise software, such as ERP, is increasingly moving to the cloud; Cloud adoption for manufacturing software, such as MES/MOM, is much lower but accelerating. 29% of manufacturers in a recent survey indicated a move of MES software to the cloud in the next 2 years. The Cloud MES market is estimated to reach $2.34 billion by 2026. Why it matters? Offering cloud-based MES solutions...

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The leading enterprise cybersecurity companies 2021

The leading enterprise cybersecurity companies 2021

In short Cisco, Microsoft, and Palo Alto Networks are the most popular enterprise cybersecurity companiesIoT Analytics published a 120-page adoption report that identifies and analyzes 99 cybersecurity companies as well as other key adoption trendsEnd-users are increasingly looking at cloud-based security as well as AI-based security solutions Why it matters? Cyberattacks have been on the rise...

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Soft PLCs: The industrial innovator’s dilemma

Soft PLCs: The industrial innovator’s dilemma

Update October 2021: IoT Analytics published a more recent blog on: Soft PLCs: Revisiting the industrial innovator’s dilemma. In short Software is increasingly replacing hardware in industrial environmentsSoftware-based controllers (Soft PLCs) today are reliable, powerful and flexible.Soft PLC adoption is expected to double between 2019 and 2025, posing an “innovator’s dilemma” for incumbent...

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The top 5 IT priorities for 2021

The top 5 IT priorities for 2021

What does the IT world look like when we return to the new normal after a wild and unexpected 2020? The answer: In 2021, IT priorities will be different but not drastically.  This is one of many findings of IoT Analytics’ latest 36-page publication titled Industrial IT Outlook 2021 which surveyed 50 senior IT decision-makers in the manufacturing,...

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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:

  1. Application management/enablement
  2. Data management/enablement
  3. Telco management
  4. Device management
IoT Platforms - definition layers components

Our Lead Expert

Mohammad Hasan

Mohammad Hasan

Analyst

Mohammad is an analyst based in our India office, contributing to the software team at IoT Analytics. His expertise lies in conducting comprehensive research and analysis within the realms of cloud computing, digital twins, data management and analytics, and IoT platforms. Throughout his career he has authored and published over 30 reports, offering stakeholders profound insights into pertinent industry topics and illuminating the latest market trends and developments.

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