Vision Processing Unit Market

The vision processing unit (VPU) market is expected to grow from USD 1.3 billion in 2019 to USD 3.2 billion by 2024 at a CAGR of 18.7%.  Major factors driving the market growth include the growing use of premium smartphones, increasing adoption of edge artificial intelligence (AI) technology, rising demand for high-end computing capabilities for computers and machine vision.

Major Vision Processing Unit Companies Include: 

• Samsung (South Korea),
• Movidius (US),
• Cadence (US),
• CEVA (US),
• NXP (Netherlands),
• HiSilicon Technologies (China),
• Google (US),
• MediaTek (Taiwan).

To know about the assumptions considered for the study download the pdf brochure

Top 2 Players in VPU market are:

Movidius (US)

Movidius was ranked 1st in the VPU market in 2018. Through its products, the company extensively caters to different applications. Movidius is a pioneering VPU company, bringing the artificial visual intelligence to system-on-chips (SoCs) used in several applications, such as AR, VR, computational photography, drones, and surveillance devices. The company offers individual VPUs, unlike the SoCs integrated with different processors. The acquisition by Intel enabled the company to gain access to the larger markets and more important customers. The company further progressed with innovation by offering NCS 2, a DL processor on a USB stick, with an exceptional rise in performance. Intel’s collaborations with key organizations such as Google and Microsoft help Movidius to grow the application areas for VPU.

Samsung (South Korea)

Samsung was ranked 2nd in the VPU market owing to its financial stability and innovation. As a part of its corporate growth strategy, Samsung is aggressively expanding its R&D facilities and making investments in AI, especially in edge AI. In March 2018, the company launched new research centres in the UK, Canada, and Russia to accelerate the development of AI technologies. Also, in January 2017, it announced USD 150 million as a fund amount to boost the development of emerging technologies, such as virtual reality (VR), AI, Internet of Things (IoT). This strategy helps the company to unveil new business opportunities. For instance, in February 2017, the company started mass production of 10nm Exynos 9 processors. The Exynos 9 also has 2 separate processing units—one for iris-scanning and fingerprint scanning to manage security, and another for enhanced vision, embedded with a VPU.

Related Reports:

Vision Processing Unit Market End-Use Application (Smartphones, ADAS, Camera, Drones, AR/VR Products), Vertical (Consumer Electronics, Automotive, Security and Surveillance), Fabrication Process and Geography – Global Forecast to 2024

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