Press release
Deep Learning in Computer Vision Market Latest Trend Gaining Momentum in the Industry Thriving at a CAGR of +57% across the Globe during the Forecast Period of 2019 to 2025 by Major Vendors: CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep
The latest report entitled "Global deep learning in the computer vision market from 2019 to 2025" has been recently added to the repository of report consultants. It surrounds the evaluation made on the basis of key competitors who are showing active participation in determining how the market really works. They have achieved great success in understanding what the expectations of their applications are and what the anticipated trends that may show up in the future.Deep Learning in Computer Vision Market Key Players:
• NVIDIA
• Intel
• IBM
• Qualcomm
• CEVA
• KnuEdge
• AMD
• Xilinx
• ARM
• Graphcore
• TeraDeep
• Wave Computing
• BrainChip
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The Global Deep Learning in Computer Vision Market accounted for USD +9 billion in 2018 and is projected to grow at a CAGR of +57% the forecast period of 2019 to 2025.
Deep learning in Computer Vision is an intense machine learning tool that indicates extraordinary performance in numerous fields.
The report includes decisive market highlights on presiding market drivers, restraints, and trends, besides offering an opportunity assessment to encourage informed investment decisions by leading market players in Deep Learning in Computer Vision Market.
Market Segmentation by Product types: GPUs, CPUs, ASICs, FPGAs, Others
Market Segmentation by Region: North America, China, Europe, Southeast Asia, Japan, India
Market Segmentation by Applications: Consumer, Aerospace, Military & Defense, Automotive, Industrial, Medical, Others
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Table of content:
Chapter1: Global Deep Learning in Computer Vision market Overview
Chapter2: Scope of the report
Chapter3: Market research methodology
Chapter4: Introduction
Chapter5: Deep Learning in Computer Vision market landscape
Chapter6: Market segmentation by type
Chapter7: Market attractiveness by type
Chapter8: Comparison analysis
Chapter9: Deep Learning in Computer Vision market segmentation by device
Chapter10: Market attractiveness by type
Chapter11: Comparison analysis
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