Architecture
The architecture segment of the vision processing unit (VPU) market refers to the different design and structure of VPUs. It includes the various technologies and components used in the VPU, such as neural network accelerators, image signal processors, and embedded memory. The architecture of a VPU plays a crucial role in determining its performance, power efficiency, and compatibility with different applications. Companies in the VPU market are continuously innovating and introducing new architectures to meet the increasing demand for high-performance and energy-efficient vision processing solutions.
Application
The application segment of the VPU market encompasses the diverse range of use cases for VPUs across various industries. VPUs are widely used in applications such as autonomous vehicles, robotics, smart surveillance systems, augmented reality, and virtual reality. Each application requires specific performance and processing capabilities from the VPU, driving the need for specialized solutions tailored to the unique requirements of each application. The increasing adoption of VPUs in emerging technologies and applications is driving the growth of the VPU market across different sectors.
End-User Industry
The end-user industry segment of the VPU market categorizes the various industries that deploy VPUs to enable advanced vision processing functionalities. These industries include automotive, consumer electronics, healthcare, industrial automation, and aerospace & defense, among others. Each industry has its own set of requirements and challenges when it comes to vision processing, and VPUs are being increasingly integrated into products and systems to enhance their capabilities. The demand for VPUs in different end-user industries is expected to grow as the applications of vision processing continue to expand and evolve.