Global Deep Learning Chipset Market Professional Research Report 2014-2026, Segmented by Players, Types, End-Users in Major 40 Countries or Regions

Aug 13, 2020  |  205 PAGES  |  REPORT CODE: CMM378911
  • REPORT SUMMARY
  • TABLE OF CONTENTS
  • INDUSTRY COVERAGE

Deep learning chipset combines artificial intelligence and machine learning technology. It uses multi-layer artificial network to improve the accuracy of target detection, speech recognition and language translation. Deep learning chipsets have a highly flexible architecture that can learn from raw data and provide more data when increasing prediction accuracy.

The global Deep Learning Chipset market report provided by Global Market Monitor analyzes the market size and growth trends in different regions, as well as the main market participants. The analysis of this report includes market size, upstream situation, market segmentation, market segmentation, price and cost, and industry environment. In addition, this report also outlines the factors driving industry growth, the factors limiting industry growth, and the description of market channels. This report starts with an overview of the industrial chain structure and describes the upstream of production. This report introduces the market competition and company profiles of major companies, market prices and channel characteristics. Practitioners can make better strategic choices based on the report and gain a first-mover advantage in the Deep Learning Chipset market.

The emergence of quantum computing promotes the growth of deep learning chipset market. More and more AI applications and investment in AI start-ups are driving market growth again. On the other hand, the lack of technical personnel may hinder the growth of the market. However, within the predicted time frame, the increasing adoption of deep learning chips and the development of intelligent robots in developing regions may provide continuous opportunities for the market.

The Deep Learning Chipset is expected to grow from USD XX.0 million in 2018 to USD XX.0 million by 2025, at a Compound Annual Growth Rate (CAGR) of 4.8% during the forecast period. The research provides insights for the global Deep Learning Chipset market based on different Types, End-Users and Regions, and competitive landscape of these segments are analyzed in detail.

A wide range of market influence factors are taken into consideration in the analysis, and potential developing factors for different Types, End-Users and Regions are also included in the report in order to figure out the most promising development trends in the Deep Learning Chipset industry. For presenting the most potential investment fields in North America, Europe, Asia Pacific and Latin America, Middle East & Africa, the market capacity and consumption potential of more than 34 major powers are covered in the research, providing valuable opinions of strategic adjustments for existing groups and new entrants.

The Snapshot of Global Deep Learning Chipset Market Segmentations:

By Players:

  • NVIDIA

  • Intel

  • IBM

  • Qualcomm

  • CEVA

  • KnuEdge

  • AMD

  • Xilinx

  • ARM

  • Google

  • Graphcore

  • TeraDeep

  • Wave Computing

  • BrainChip

By Types:

  • Graphics Processing Units (GPUs)

  • Central Processing Units (CPUs)

  • Application Specific Integrated Circuits (ASICs)

  • Field Programmable Gate Arrays (FPGAs)

  • Others

By End-User:

  • Consumer

  • Aerospace, Military & Defense

  • Automotive

  • Industrial

  • Medical

  • Others

By Regions:

North America

  • United States

  • Canada

  • Mexico

Europe

  • Germany

  • UK

  • France

  • Italy

  • Nordic Countries (Denmark, Finland, Iceland, Norway and Sweden)

  • Spain

  • Belgium

  • Poland

  • Russia

  • Turkey

  • Others

Asia-Pacific

  • China

  • Japan

  • India

  • South Korea

  • Australia and New Zealand

  • ASEAN Countries (Indonesia, Thailand, Malaysia, Singapore, Philippines, Vietnam, Others)

Latin America, Middle East & Africa

  • GCC Countries (Saudi Arabia, United Arab Emirates, Qatar, Others)

  • Brazil

  • Nigeria

  • South Africa

  • Argentina

  • Others

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