Digital Transformation Market Size, Growth, Share and forecast period 2022-2028

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Companies Profiled in the Market: Amazon Web Services (Washington, United States), Oracle Corporation (California, United States), Microsoft Corporation (Mexico, United States), VMware, Inc. (California, United States), SAP SE (Walldorf, Germany), IBM Corporation (New York, United States),

The global AI Chipsets Market Growth 2022 Information Technology Industry Global Analysis By Covid-19 Impact On, Size, Trends, Growth, Share, Business, Key Players, Merger, Statistics, Competitive Landscape, And Regional Forecast To 2029 Is Latest Study Published By Fortune Business Insights. Worldwide ai chipsets market size stood at USD 8.14 Billion in 2019 and is expected to reach USD 108.85 Billion by 2027, registering a CAGR of 38.9% during the forecast period.

Companies Profiled in the Global 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)

What are the Report Highlights?

The industry analysis report offers a comprehensive overview of the Market and its major growth prospects such as drivers, restraints, challenges, and upcoming opportunities. It also throws light on the current industry trends, major developments, and other interesting insights useful for this market. It further discusses the nature of the market competition, list of players and their key strategies to stay put in the competition. It also describes the table of segmentation and the names of the leading segment with market figures. The AI Chipsets Market report is provided on the company website.

Request Sample PDF Brochure: https://www.fortunebusinessinsights.com/enquiry/request-sample-pdf/104500

What are the market factors explained in the report?

Key Strategic Developments:   The study includes key strategic developments of the AI Chipsets Market, comprising RD, new product launch, mergers and acquisitions, agreements, partnerships, collaborations, joint ventures, and regional growth of key competitors operating in the market globally and region.

Key Market Features:   The report analyzed key market features including price, revenue, capacity, supply/demand, capacity utilization rate, gross production, production rate, market share, consumption, import/export, cost, CAGR and gross margin. Furthermore, the report also offers a comprehensive study of the key AI Chipsets Market dynamics and its latest trends, along with relevant market segments and sub-segments.

Analytical Tools:   The Global Outsourced AI Chipsets Market report includes accurately researched and analyzed data on the key industry players and their scope in the market through various analytical tools. Analytical tools such as Porter's five forces analysis, feasibility study, and ROI analysis have been used to analyze the growth of the key players operating in the market.

What exactly is included in the Report?

– Industry Trends and Developments: In this section, the authors of the research discuss the significant trends and developments that are occurring in the AI Chipsets Market place, as well as their expected impact on the overall growth.

– Analysis of the industry’s size and forecast: The industry analysts have provided information on the size of the industry from both a value and volume standpoint, including historical, present and projected figures.

– Future Prospects: In this portion of the study, AI Chipsets Market participants are presented with information about the prospects that the global industry is likely to supply them with.

– The Competitive Landscape: This section of the study sheds light on the competitive landscape of the AI Chipsets Market by examining the important strategies implemented by vendors to strengthen their position in the AI Chipsets Market.

– Study on Industry Segmentation: This section of the study contains a detailed overview of the important AI Chipsets Market segments, which include product type, application, and vertical, among others.

– In-Depth Regional Analysis: Vendors are provided with in-depth information about high-growth regions and their particular countries, allowing them to place their money in more profitable areas.

COVID-19 impact analysis

The pandemic (COVID-19) has abruptly set the world economy back during 2020. The strict lockdown in countries has left surprising and lasting impacts in almost all sectors. Professionals working for Fortune Business Insights have carefully reviewed the global market, and highlighted certain approaches in the report to curb the detrimental impact of COVID-19 on various companies.

AI Chipsets Market Segments:

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.) 

 

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