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The vision processing unit market size is forecast to increase by USD 2.93 billion, at a CAGR of 25.4% between 2023 and 2028. The market is experiencing significant growth due to the increasing adoption of machine learning and computer vision technologies. Machine learning algorithms, particularly Convolutional Neural Networks (CNNs) and deep learning models, are revolutionizing image processing applications. These advanced algorithms require massive computational power, leading to the rapid adoption of VPUs. Another trend driving the market is the growing use of drones in various industries, including agriculture, construction, and security. Drones rely on computer vision and image processing capabilities for tasks such as object detection, image recognition, and 3D modeling. VPUs offer the necessary processing power to handle these complex tasks efficiently. Despite these growth opportunities, the high cost of VPUs remains a significant challenge for market expansion. Integrated GPUs (iGPUs) have emerged as a cost-effective alternative for low-power applications. However, they lack the processing power of dedicated VPUs, limiting their use in high-performance applications. Neural networks and OpenCV libraries are also being optimized for iGPUs to address this challenge. Overall, the market is expected to grow significantly due to the increasing demand for machine learning and computer vision applications.
1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation by Type
7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Opportunity/Restraints
10 Competitive Landscape
11 Competitive Analysis
12 Appendix
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