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AI Chipsets Market to Exhibit an Outstanding CAGR of 38.9% by 2027; Growing Integration of Graphics Processing Unit (GPU) in 3D Gaming Systems to favor market

December 17, 2020 | Information & Technology

The global artificial intelligence (AI) chipsets market size is expected to reach USD 108.85 billion by 2027. The growing integration of AI chips to enhance analytical functions in virtual reality (VR), and augmented reality (AR) will foster the growth of the market, mentioned in a report, titled “Artificial Intelligence (AI) Chipsets Market Size, Share & COVID-19 Impact Analysis, By Chipset Type (Graphics Processing Unit (GPU), Field Programmable Gate Arrays (FPGAs), Application-specific Integrated Circuit (ASIC) and Others), By Application (Natural Language Processing (NLP), Robotic Process Automation (RPA), Machine Learning, Computer Vision and Others), By Computing Technology (Cloud Computing and Edge Computing), By Function (Training and Inference), By Industry (Consumer Electronics, Healthcare, BFSI, IT & Telecom, Manufacturing, Automotive, Retail, and Others), and Regional Forecast, 2020-2027.” The market size stood at USD 8.14 billion in 2019 and is expected to exhibit an excellent CAGR of 38.9% between 2020 and 2027


Introduction of New AI Chip by ARM to Strengthen Market


ARM, a leading semiconductor technology firm owned by SoftBank Group announced that it has introduced a chip technology aimed at putting artificial intelligence functions on tiny devices such as sensors designed to detect patterns in human speech or other streams of data. ARM has provided chip technology to mobile phone semiconductor suppliers such as Qualcomm and device manufacturers such as Apple. The company has expanded its area of the target, focusing on the Internet of things to automate agricultural irrigation systems through connected sensors. Furthermore, the new Cortex M55 processor launched by the company is paired with Ethos-U55 "neural processing unit." Besides, the technology is designed to function with very low amounts of electricity, thus allowing devices such as sensors to last for years


To get a detailed report summary and research scope of this market, click here:


https://www.fortunebusinessinsights.com/artificial-intelligence-ai-chipsets-market-104500


Lack of Familiarity about AI systems to Retard Development


The lack of workforces with notable experience and certain skill sets to develop manage, and deploy AI systems by enterprises can dampen the growth of the market. AI consists of complex algorithms, thus requires proper knowledge to operate. the integration of AI-based solutions in the existing systems is another challenge expected to restrict the growth of the market. Besides, the lack of professional certifications and standards in advanced technologies such as AI, ML, and others will further restrain the development of the market during the forecast period.


Rising Importance on Advanced AI Chipsets by Key Players to Intensify Competition


Companies such as IBM Corporation, Google LLC, Intel Corporation, Xilinx, Inc., Samsung Electronics Co., Ltd., and Micron Technology, Inc. are constantly developing new technologies to remain at the forefront. Players are focused on developing AI chipsets with advanced technology such as cloud, big data, and others to strengthen their portfolio and financially grow. Also, the high competition in the market is forcing service providers to emphasize acquisition strategy for strengthening their position in the market. Prominence on product innovation to offer cost-effective solutions will further enable speedy expansion of the market.


The Report Lists the Key Players in the Artificial Intelligence (AI) Chipsets Market:



  • NVIDIA Corporation (California, United States)

  • Intel Corporation (California, United States)

  • Xilinx, Inc. (California, United States)

  • Samsung Electronics Co., Ltd. (Suwon-si, South Korea)

  • Micron Technology, Inc. (Idaho, United States)

  • Kneron (California, United States)

  • Alibaba Group Holding Limited (Hangzhou, China)

  • Qualcomm Technologies, Inc. (California, United States)

  • International Business Machines Corporation (IBM) (New York, United States)

  • Alphabet Inc. (Google LLC) (California, United States)

  • Microsoft Corporation (Washington, United States)

  • Amazon Web Services (AWS) (Washington, United States)

  • Advanced Micro Devices, Inc. (AMD) (California, United States)

  • General Vision, Inc. (California, United States)

  • Huawei Technologies Co., Ltd. (Shenzhen, China)

  • Graphcore Limited (Bristol, United Kingdom)

  • MediaTek Inc. (Hsinchu, Taiwan)

  • Fujitsu Limited (Tokyo, Japan)

  • Wave Computing, Inc. (California, United States)

  • Mythic Inc. (Texas, United States)

  • Koniku Inc (California, United States)

  • Tenstorrent Inc. (Ontario, Canada)

  • SambaNova Systems Inc (California, United States)

  • Kalray Corporation (Isere, France)

  • XMOS Limited (Bristol, United Kingdom)

  • GreenWaves Technologies (Isere, France)


Further Report Findings:



  • Regional Analysis: Europe is expected to account for the maximum share in the global market owing to the presence of a significant number of AI solution providers. The increasing R&D investments for the development and adoption of AI technology will further promote development in the region.

  • Leading Segment: The graphics processing unit (GPU) segment is expected to hold the largest market share during the predicted period due to the rising adoption of GPUs in edge devices, advanced 3D gaming, AR/VR, virtual assistance, and others.


The Global Market for AI Chipsets is Segmented into:

















































  ATTRIBUTE



  DETAILS



Study Period



  2016 – 2027



Base Year



  2019



Forecast Period



  2020 – 2027



Historical Period



  2016 – 2018



Unit



  Value (USD billion)



 


 


 


 


 


 


 


 


 


Segmentation



By Chipset Type



  • Graphics Processing Unit (GPU)

  • Field Programmable Gate Arrays (FPGAs)

  • Application-specific Integrated Circuit (ASIC)

  • Others (Central Processing Unit (CPU), etc.)



By Application



  • Natural Language Processing (NLP)

  • Robotic Process Automation (RPA)

  • Machine Learning

  • Computer Vision

  • Others (Context-aware Computing, etc.)



By Computing Technology



  • Cloud Computing

  • Edge Computing



By Function



  • Training

  • Inference



By Industry



  • Consumer Electronics

  • Healthcare

  • BFSI

  • IT & Telecom

  • Manufacturing

  • Automotive

  • Retail

  • Others (Government, etc.)



By Region



  • North America

    • By Chipset Type

    • By Application

    • By Computing Technology

    • By Function

    • By Industry

    • By Country

      • The U.S.

        • By Chipset Type



      • Canada

        • By Chipset Type



      • Mexico

        • By Chipset Type







  • Europe

    • By Chipset Type

    • By Application

    • By Computing Technology

    • By Function

    • By Industry

    • By Country

      • UK

        • By Chipset Type



      • Germany

        • By Chipset Type



      • France

        • By Chipset Type



      • Italy

        • By Chipset Type



      • Spain

        • By Chipset Type



      • Russia

        • By Chipset Type



      • Benelux

        • By Chipset Type



      • Nordics

        • By Chipset Type



      • Rest of Europe







  • Asia Pacific

    • By Chipset Type

    • By Application

    • By Computing Technology

    • By Function

    • By Industry

    • By Country

      • China

        • By Chipset Type



      • India

        • By Chipset Type



      • Japan

        • By Chipset Type



      • South Korea

        • By Chipset Type



      • ASEAN

        • By Chipset Type



      • Oceania

        • By Chipset Type



      • Rest of Asia Pacific







  • Middle East & Africa

    • By Chipset Type

    • By Application

    • By Computing Technology

    • By Function

    • By Industry

    • By Country

      • Turkey

        • By Chipset Type



      • Israel

        • By Chipset Type



      • GCC

        • By Chipset Type



      • North Africa

        • By Chipset Type



      • South Africa

        • By Chipset Type



      • Rest of MEA





  • South America

    • By Chipset Type

    • By Application

    • By Computing Technology

    • By Function

    • By Industry

    • By Country

      • Brazil

        • By Chipset Type



      • Argentina

        • By Chipset Type



      • Rest of South America






Global Artificial Intelligence (AI) Chipsets Market
  • PDF
  • 2019
  • 2016-2018
  • 160

    CHOOSE LICENSE TYPE

  • 4850
    5850
    6850

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