May 24, 2024

The latest report by Fortune Business Insights, titled ‘Artificial Intelligence Chipsets 2024 Size, Trends, Share, Growth, Dynamics, Competition, and Opportunity Forecast, 2024 – 2032,’ provides a thorough analysis of the global Artificial Intelligence Chipsets . The report meticulously examines both macro and micro trends, offering insights into the dynamic factors influencing the market. It encompasses a detailed exploration of qualitative and quantitative aspects, delivering a precise depiction of market size, growth rates, annual progression, prevailing trends, key drivers, promising opportunities, and potential challenges. Additionally, the report highlights the impact of crucial events such as technological advancements and regulatory frameworks on the Artificial Intelligence Chipsets landscape. This exhaustive examination equips businesses and stakeholders with invaluable intelligence for making informed decisions in the evolving Artificial Intelligence Chipsets .

The global artificial intelligence chipsets market size was USD 8.14 billion in 2019 and is projected to reach USD 108.85 billion by 2027, exhibiting a CAGR of 38.9% during the forecast period.

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Driving Factor:

Increasing Cognizance about Quantum Computing to Promote Growth

The growing adoption of quantum computing technology to solve complex problems and perform analytical calculations will spur opportunities for the market. For instance, Google LLC’s Sycamore quantum computer is currently the fastest computer that can perform a specific task in around 200 seconds. Quantum computers are enabled with technologies such as artificial intelligence, machine learning, computer vision, big data, AR/VR, and others.

The growing knowledge about quantum computing will spur demand for AI chipsets, in turn, aiding the market growth. Quantum computing is used in various functions such as fraud detection, risk management, portfolio optimization, and applications where instant data response is required. The growing adoption of risk management solutions among organizations will contribute positively to market growth in the near future.

Report Highlights:

  • A comprehensive overview of the Artificial Intelligence Chipsets
  • Significant factors boosting, restricting, challenging and providing an opportunity to the market
  • Key insights and major industry developments
  • Significant players functioning in the Artificial Intelligence Chipsets
  • Major strategies adopted by players such as the launch of new products for better revenue generation, company collaborations, and others
  • Other market trends

Artificial Intelligence Chipsets 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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Top most manufacturers/ Key player by Business Leaders Leading Players of Artificial Intelligence Chipsets :

  • 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)

Regional Analysis for Artificial Intelligence Chipsets :

  • North America (the USA and Canada)
  • Europe (UK, Germany, France, Italy, Spain, Scandinavia and Rest of Europe)
  • Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)
  • Latin America (Brazil, Mexico and Rest of Latin America)

Frequently Asked Questions (FAQs):

  • What is the current market scenario?
  • What was the historical demand scenario, and forecast outlook from 2023 to 2030?
  • What are the key market dynamics influencing growth in the Global Artificial Intelligence Chipsets ?
  • Who are the prominent players in the Global Artificial Intelligence Chipsets ?
  • What is the consumer perspective in the Global Artificial Intelligence Chipsets ?
  • What are the key demand-side and supply-side trends in the Global Artificial Intelligence Chipsets ?
  • What are the largest and the fastest-growing geographies?
  • Which segment dominated and which segment is expected to grow fastest?
  • What was the COVID-19 impact on the Global Artificial Intelligence Chipsets ?

Have Any Query? Speak to Our Analyst:

Table of Contents

Industry Overview:

  • Market definition and segmentation
  • Industry trends and drivers
  • Regulatory environment

Artificial Intelligence Chipsets  Size and Forecast:

  • Historical market size and growth
  • Current market size and trends
  • Forecast for the future

Competitive Landscape:

  • Key players in the market
  • Market share analysis
  • SWOT analysis of major competitors

Customer Analysis:

  • Target customer demographics
  • Buying behavior and preferences
  • Customer satisfaction and feedback

Product/Service Analysis:

  • Overview of products/services in the market
  • Features and benefits
  • Pricing strategies

Artificial Intelligence Chipsets  Trends:

  • Emerging trends in the industry
  • Technological advancements
  • Shifts in consumer behavior

TOC Continued…

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