Snapshot
Deep learning technology is driving the evolution of artificial intelligence (AI) and has become one of the hottest topics of discussion within the technology world and beyond. Given the rate at which deep learning is progressing, some industry observers are predicting it will bring about a doomsday scenario, while others strive for a time when the technology can transform business processes and create new business models through scalable, more efficient automation and predictive capabilities. The current market climate is ripe for innovation in hardware in general, and chipsets more specifically.
The global Deep Learning Chipset market will reach Volume Million USD in 2017 and CAGR xx% 2011-2017. The report begins from overview of Industry Chain structure, and describes industry environment, then analyses market size and forecast of Deep Learning Chipset by product, region and application, in addition, this report introduces market competition situation among the vendors and company profile, besides, market price analysis and value chain features are covered in this report.
Product Type Coverage (Market Size & Forecast, Major Company of Product Type etc.):
Graphics Processing Units (GPUs)
Central Processing Units (CPUs)
Application Specific Integrated Circuits (ASICs)
Field Programmable Gate Arrays (FPGAs)
Others
Company Coverage (Sales Revenue, Price, Gross Margin, Main Products etc.):
NVIDIA
Intel
IBM
Qualcomm
CEVA
KnuEdge
AMD
Xilinx
ARM
Google
Graphcore
TeraDeep
Wave Computing
BrainChip
Application Coverage (Market Size & Forecast, Different Demand Market by Region, Main Consumer Profile etc.):
Consumer
Aerospace, Military & Defense
Automotive
Industrial
Medical
Others
Region Coverage (Regional Output, Demand & Forecast by Countries etc.):
North America
Europe
Asia-Pacific
South America
Middle East & Africa