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Global Vision Processing Unit Market Growth Prospects, Future Industry Landscape 2032 | Google LLC, Samsung Electronics Co Ltd., Intel Corporation, Qualcomm Incorporated., Texas Instruments Incorporated

The Vision Processing Unit Global Market Report 2023, provides comprehensive information on the vision processing unit market across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa for the 27 major global industries. The report covers a ten year historic period – 2010-2021, and a ten year forecast period – 2023-2032.

Learn More On The Vision Processing Unit Market’s Growth:

https://www.thebusinessresearchcompany.com/report/vision-processing-unit-global-market-report

The global vision processing unit market is expected to grow from $2.04 billion in 2022 to $2.43 billion in 2023 at a compound annual growth rate (CAGR) of 19.4%. The Russia-Ukraine war disrupted the chances of global economic recovery from the COVID-19 pandemic. The war between these two countries has led to economic sanctions on multiple countries, a surge in commodity prices, and supply chain disruptions, causing inflation across goods and services and affecting many markets across the globe. The vision processing unit market is expected to reach $4.73 billion in 2027 at a CAGR of 18.1%.

Get A Free Sample Of The Report (Includes Graphs And Tables):

https://www.thebusinessresearchcompany.com/sample_request?id=12217&type=smp

Product innovation is a key trend gaining popularity in the vision processing unit market. Major companies operating in the vision processing unit market are introducing innovative products to maintain their position in the market. For instance, in March 2023, Hailo, an Israel-based semiconductor manufacturing company, launched Hailo-15, a new vision processor unit for smart cameras at the edge. The vision processor offers high-performance video processing and analytics at the border and has numerous applications in manufacturing, smart cities, and retail settings. The onboard system-on-chip can execute up to 20 trillion operations per second while running cutting-edge deep learning models that enable AI inference using a neural network core. The YoloV5M6 object detection model can be processed by the HailoV15H chipset, a variant of the HailoV15 vision processor chipset with the highest performance metrics at a real-time sensor rate.

The vision processing unit market is segmented:

1) By Fabrication Process: Less Than Or Equal To 16 NM, More Than 16 To 28 NM

2) By Application: Smartphones, Medical Devices, Digital Cameras, Drones, Robots, Autonomous Vehicles, Wearable Devices

3) By Vertical: Consumer Electronics, Automotive, Industrial, Healthcare, Other Verticals

Asia-Pacific was the largest region in the vision processing unit market in 2022.

The table of contents in TBRC’s vision processing unit market report includes:

  1. Executive Summary
  2. Vision Processing Unit Market Characteristics
  3. Vision Processing Unit Market Trends And Strategies
  4. Vision Processing Unit Market – Macro Economic Scenario

5.Global Vision Processing Unit Historic Market Size and Growth

.

  1. Global Vision Processing Unit Market Competitive Benchmarking
  2. Global Vision Processing Unit Market Competitive Dashboard
  3. Key Mergers And Acquisitions In The Vision Processing Unit Market
  4. Vision Processing Unit Market Future Outlook and Potential Analysis

Learn About Us:
The Business Research Company is a market intelligence firm that pioneers in market, company, and consumer research. TBRC’s specialist consultants are located globally and are experts in a wide range of industries that include healthcare, manufacturing, financial services, chemicals, and technology. The firm has offices located in the UK, the US, and India, along with a network of proficient researchers in 28 countries. Through the report businesses can gain a thorough understanding of the market’s size, growth rate, major drivers and leading players.

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The Business Research Company
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