Thu. Jan 23rd, 2020

Deep Learning Chipset Market 2019-2026 by Top Prominent Players like Google, Intel, Nvidia, AMD, Qualcomm, Xilinx, TeraDeep, Brain Chip, Graphcore, CEVA

The global deep learning chipset market was valued at US$2,425.6 million in 2019, and is projected to reach US$+37,849.8 million by 2026, registering a CAGR of +40.8% from 2019 to 2026.

Deep learning chips are specialized Silicon chips, which incorporate AI and machine learning technology. Deep learning and machine learning, which are the sub-sets of artificial intelligence (AI) are achieved to perform tasks related to AI. Deep learning technology has been penetrating in several industries around the world since few years and is achieved with software, such as computer vision, voice recognition, speech synthesis, machine translation, game playing, drug discovery, and robotics.

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Top Key Players:

NVIDIA, Intel, IBM, Qualcomm, CEVA, KnuEdge, AMD, Xilinx, ARM, Google, Graphcore, TeraDeep, Wave Computing, and Brain Chip

Geologically, the global Deep Learning Chipset Market is divided into North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. Among these regions, Asia Pacific controlled the market in the previous years, followed by North America. These districts all in all represented over half of the aggregate income produced by the market. However, Asia Pacific is anticipated to develop at a higher pace amid the gauge time frame took after by Europe, North America, Middle East and Africa and Latin America.

Market Segment by Type:

  • Graphics Processing Units (GPUs),
  • Central Processing Units (CPUs),
  • Application Specific Integrated Circuits (ASICs),
  • Field Programmable Gate Arrays (FPGAs)

Market Segment by Applications:

  • Consumer, Aerospace,
  • Military & Defense,
  • Automotive,
  • Industrial,
  • Medical

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In addition to this, the report incorporates a detailed and wide-ranging overview of the competitive landscape and administrative structure of the Global Deep Learning Chipset Market. This will give users a reasonable understanding of the state of drivers, restraints, opportunities and strategies that affect the market. Along with this, the report gives both subjective as well as objective analysis of the global market.

Following factors have been investigated through this research report:

  • Global latest trends in the market
  • Global market segmentation along with their subtypes
  • Tapping of global opportunities
  • Identification of global clients along with identification of potential customers
  • Establishment of Deep Learning Chipset market standings

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