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Qualcomm doubles down on the IoT with new Vision Intelligence platform (QCOM)

edge computing iot solution
edge computing iot solution

BI Intelligence

This story was delivered to BI Intelligence IoT Briefing subscribers hours before it appeared on Business Insider. To be the first to know, please click here.

Mobile chip giant Qualcomm is doubling down on the IoT with its newly announced Vision Intelligence Platform. The platform is purpose-built for IoT devices based off of two new system-on-chips (SoCs).

The chips, known as QCS605 and QCS603, are built off a core ARM processor architecture, and come with the company's AI engine and image signal processor built in. In addition, the platform includes Qualcomm’s advanced camera processing, machine learning (ML), and computer vision software development kits (SDKs). The San Diego-based company is sampling both SoCs to select companies already, and says its customers will likely release products based off of the platform sometime later this quarter.

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The platform is designed for IoT devices that need a lot of processing power, such as smart security cameras or robotics. The platform could also power IoT devices in remote locations where network latency makes cloud-based processing challenging — if not impossible. This could include security cameras placed on a cruise ship, or automated machinery in an oil refinery. Interestingly, this follows Qualcomm's release of Wireless Edge Services — a set of chips and software services for edge computing settings within the IoT — and shows the company wants to give customers as much flexibility as possible to process and analyze data locally.

Qualcomm’s moves within the IoT show it’s unwilling to cede ground to rival semiconductor companies in the fierce battle for the next generation of computing. Although it was a later entrant to the IoT than Intel and has slightly different aims in the space than the PC computing giant, Qualcomm nonetheless likely wants to catch up and replicate Intel's success in the space — the PC computing giant earned $879 million in IoT revenue last quarter alone.

Nvidia, meanwhile, continues to reveal new processors designed for the type of embedded processing done in low-power sensors and smart meters to supplement its core graphics processing unit (GPU) business that also serves a number of IoT use cases. While each company’s processors have slightly different features and capabilities, they will be coming into direct competition with each other in the coming years, and Qualcomm is clearly looking to maximize its footprint in the IoT as this occurs.

Through this exclusive study and in-depth research into the field, Business Insider Intelligence (Business Insider's premium research service) details the components that make up the IoT ecosystem. We size the IoT market and use exclusive data to identify key trends in device installations and investment. And we profile the enterprise and consumer IoT segments individually, drilling down into the drivers and characteristics that are shaping each market.

Here are some key takeaways from the report:

  • We project that there will be more than 55 billion IoT devices by 2025, up from about 9 billion in 2017.

  • We forecast that there will be nearly $15 trillion in aggregate IoT investment between 2017 and 2025, with survey data showing that companies' plans to invest in IoT solutions are accelerating.

  • The report highlights the opinions and experiences of IoT decision-makers on topics that include: drivers for adoption; major challenges and pain points; deployment and maturity of IoT implementations; investment in and utilization of devices; the decision-making process; and forward- looking plans.

In full, the report:

  • Provides a primer on the basics of the IoT ecosystem.

  • Offers forecasts for the IoT moving forward, and highlights areas of interest in the coming years.

  • Looks at who is and is not adopting the IoT, and why.

  • Highlights drivers and challenges facing companies that are implementing IoT solutions.

 

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