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"杀死"物联网平台的五个陷阱
3 6 Ke· 2026-02-27 11:26
Core Insights - The IoT platform industry has undergone a complete industrial cycle over the past decade, transitioning from a phase of enthusiasm and competition to a period of consolidation and maturity [1][2] - Major companies like Google, Ericsson, SAP, IBM, and Bosch have significantly adjusted their IoT business strategies since 2022, highlighting the importance of platform capabilities beyond mere device connectivity [1][2] Industry Overview - The IoT platform market is now relatively mature, with a stable landscape of major vendors and standardized product forms, yet risks remain due to increasing complexity in platform capabilities and evolving customer demands [2] - The discussion on how to correctly select an IoT platform has become crucial, as misjudgments can lead to significant long-term costs and operational challenges [2] Selection Traps - **Trap 1: Misjudging Tools as Platforms** Many companies confuse data visualization tools with comprehensive IoT platforms, leading to a focus on data display rather than business-driven data utilization [2][3] - **Trap 2: Limited Connection Strategy** The claim of supporting MQTT and REST does not equate to a robust connection strategy, as many legacy devices and industrial protocols may not be supported, leading to potential cost overruns [5][6] - **Trap 3: Weak Data Modeling Capabilities** Insufficient data modeling can result in projects becoming custom developments, increasing complexity and costs over time [7][9] - **Trap 4: Cloud-Only Deployment Risks** Platforms that only support cloud deployment may alienate a significant market segment that requires on-premises solutions, leading to vendor lock-in and high migration costs [10][11] - **Trap 5: Disjointed Edge and Cloud Systems** Many platforms claim to offer edge and cloud capabilities, but often these are separate systems that complicate development and increase operational costs [12][13] Conclusion - The selection of an IoT platform is not merely a technical decision but involves considerations of vendor maturity, future-proofing, and the ability to support long-term business growth [14][15]