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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B2B Technology Marketplaces Market Report 2024–2030
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Generative AI Market Report 2023–2030
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IoT Software Go-to-Market & Commercialization Report 2023
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Global Cloud Projects Report and Database 2023
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IoT Software Adoption Report 2023
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Digital Twin Market Report 2023-2027
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Cloud Computing for IoT Market Report 2021–2026
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Cloud Computing Market Report 2021–2026
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Latest Insights: IoT Platforms & Software
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...
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...
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,...
IoT edge computing – what it is and how it is becoming more intelligent
In short IoT edge computing resources are becoming increasingly intelligentThere are 7 key characteristics that make modern edge computing more intelligent (including open architectures, data pre-processing, distributed applications)The intelligent industrial edge computing market is estimated to reach $30.8B by 2025, up from $11.6B in 2020 (see new 248-page report) Why it matters IT/OT...
5 themes that dominated tech and IoT conferences in Q2 2020
The first round of virtual conferences among the Covid-19 pandemic is behind us. The IoT Analytics team attended 12 virtual conferences during the second quarter of 2020, each with a focus on the enterprise technology stack and each with some relevance for the Internet of Things. The 12 virtual conferences attended include: Alibaba Cloud SummitAVEVA World DigitalAWS SummitMicrosoft BuildCisco...
Top 10 IoT applications in 2020
Which are the hottest application areas for the Internet of Things right now? IoT Analytics continues to track in which verticals most IoT projects are happening. The latest 2020 analysis shows that most IoT projects still happen in Manufacturing/Industrial settings, with verticals such as Transportation/Mobility, Energy, Retail and Healthcare having also increased their relative share in...
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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
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.
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