全球人工智能(AI)芯片組市場:按技術(機器學習,自然語言處理,計算機視覺),功能(訓練,推理),硬件(處理器,內存,通信網絡),最終用戶行業,地區預測至2028
市場調查報告書
商品編碼
1288945

全球人工智能(AI)芯片組市場:按技術(機器學習,自然語言處理,計算機視覺),功能(訓練,推理),硬件(處理器,內存,通信網絡),最終用戶行業,地區預測至2028

Artificial Intelligence (chipsets) Market by Technology (Machine Learning, Natural Language Processing, Computer Vision), Function (Training, Inference), Hardware (Processor, Memory, Network), End-user Industry and Region - Global Forecast to 2028

出版日期: | 出版商: MarketsandMarkets | 英文 240 Pages | 訂單完成後即時交付

價格
簡介目錄

全球人工智能 (AI) 芯片組市場規模將於 2023 年達到 186 億美元,2028 年達到 645 億美元,2023 年至 2028 年復合年增長率為 28.1%,預計還會增長。

人工智能芯片組經過優化,可滿足人工智能算法的計算要求,包括數據預處理、訓練和推理等任務。 AI芯片組在計算能力方面取得了長足的進步。 傳統 CPU 由 GPU、TPU(張量處理單元)和 NPU(神經處理單元)等專用加速器進行補充或替代。 這些加速器旨在處理人工智能算法所需的並行計算,提供更快的處理速度和更高的性能。

“機器學習將成為第二大技術領域”

隨著邊緣計算的興起以及對實時決策的需求不斷增長,對支持邊緣機器學習推理的人工智能芯片組的需求不斷增長。 智能手機、物聯網設備和自主系統等邊緣設備需要設備上的機器學習功能,以便在不依賴雲連接的情況下在本地執行任務。 專為機器學習而設計的人工智能芯片組可實現高效、低延遲的處理,促進實時決策並減少對雲資源的依賴。

“汽車行業人工智能芯片組市場將以第二高複合年增長率增長”

汽車行業正在向自動駕駛能力快速發展。 人工智能芯片組對於支持自動駕駛汽車感知環境、做出決策和控制運動所需的複雜算法和傳感器融合至關重要。 這些芯片組可實現來自攝像頭、雷達、激光雷達和超聲波傳感器等傳感器的實時數據處理,確保准確識別和安全導航。 此外,人工智能芯片組在駕駛員輔助系統中發揮著重要作用,增強了防撞、車道保持和自適應巡航控制等安全功能。

“中國將以亞太人工智能芯片市場最高複合年增長率增長”

中國政府認識到人工智能的戰略重要性,並將其列為國家發展規劃的優先事項。 政府推出《新一代人工智能發展規劃》、《人工智能2.0發展規劃》等舉措,推動人工智能研發、創新和產業發展。 這些舉措為人工智能芯片公司提供資金、激勵和政策支持,以推動公司發展並帶動整個市場。

內容

第一章簡介

第 2 章研究方法

第 3 章執行摘要

第 4 章重要注意事項

第 5 章市場概述

  • 簡介
  • 市場動態
    • 驅動程序
    • 制約因素
    • 機會
    • 任務
  • 價值鏈分析
  • 生態系統分析
  • 波特五力分析
  • 主要利益相關者和採購標準
  • 影響客戶業務的趨勢/干擾
  • 案例研究分析
  • 技術分析
  • 平均售價 (ASP) 分析
  • 專利分析
  • 貿易分析
  • 價格分析
  • 標準和監管狀況
  • 重大會議和活動(2023-2024)

第 6 章:人工智能 (AI) 芯片組市場:按硬件劃分

  • 簡介
  • 處理器
    • GPU(圖形處理單元)
    • FPGA(現場可編程門陣列)
    • CPU(中央處理器)
    • ASIC(專用集成電路)
  • 內存
  • 通訊網絡

第 7 章:人工智能 (AI) 芯片組市場:按技術分類

  • 簡介
  • 機器學習
    • 深度學習
    • 監督學習
    • 無監督學習
    • 強化學習
    • 其他
  • 自然語言處理
  • 上下文感知計算
  • 計算機視覺
  • 預測分析

第 8 章:人工智能 (AI) 芯片組市場:按功能

  • 簡介
  • 培訓
  • 推理

第 9 章:人工智能 (AI) 芯片組市場:按最終用戶行業劃分

  • 簡介
  • 醫療
  • 製造業
  • 汽車
  • 農業
  • 零售
  • 網絡安全
  • 人力資源
  • 營銷
  • 法律
  • 金融科技
  • 政府

第 10 章:人工智能 (AI) 芯片組市場:按地區

  • 簡介
  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 歐洲其他地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 亞太地區其他地區
  • 其他地區(ROW)
    • 南美洲
    • 中東和非洲

第 11 章競爭格局

  • 簡介
  • 主要公司採取的主要策略
  • 企業利潤分析(2020-2022)
  • 市場份額分析 (2022)
  • 企業評估象限(2022 年)
  • 中小企業 (SME) 評估象限(2022 年)
  • 競爭基準測試
  • 初創公司評估象限(2022 年)
  • 競爭情景和趨勢

第十二章公司簡介

  • 主要公司
    • INTEL CORPORATION
    • NVIDIA CORPORATION
    • QUALCOMM TECHNOLOGIES, INC.
    • MICRON TECHNOLOGY, INC.
    • ADVANCED MICRO DEVICES, INC.
    • SAMSUNG ELECTRONICS CO., LTD.
    • APPLE INC.
    • IBM
    • ALPHABET INC.
    • HUAWEI TECHNOLOGIES CO., LTD.
  • 其他企業
    • GRAPHCORE
    • MEDIATEK INC.
    • MYTHIC
    • KALRAY
    • ARM LIMITED
    • BLAIZE
    • LG ELECTRONICS
    • IMAGINATION TECHNOLOGIES
    • GROQ, INC.
    • HAILO
    • CEREBRAS
    • XMOS
    • GREENWAVE TECHNOLOGIES
    • SIMA TECHNOLOGIES, INC.
    • KNERON, INC.

第13章 附錄

簡介目錄
Product Code: SE 5997

The global AI (chipsets) market is expected to be valued at USD 18.6 billion in 2023 and is projected to reach USD 64.5 billion by 2028 and grow at a CAGR of 28.1% from 2023 to 2028. AI (chipsets) are optimized to handle the computational requirements of AI algorithms, which involve tasks such as data preprocessing, training, and inference. AI (chipsets) have witnessed significant advancements in terms of computational power. Traditional CPUs (Central Processing Units) have been supplemented or replaced with specialized accelerators such as GPUs (Graphics Processing Units), TPUs (Tensor Processing Units), and NPUs (Neural Processing Units). These accelerators are designed to handle the parallel computations required for AI algorithms, delivering faster processing and improved performance.

"Machine Learning to account for the second largest technology segment for Artificial Intelligence (chipsets) market"

With the rise of edge computing and the increasing demand for real-time decision-making, there is a need for AI (chipsets) that can enable machine learning inference at the edge. Edge devices such as smartphones, IoT devices, and autonomous systems require on-device machine learning capabilities to perform tasks locally without relying on cloud connectivity. AI (chipsets) designed for machine learning enable efficient and low-latency processing, facilitating real-time decision-making and reducing reliance on cloud resources.

"Automotive industry to grow at the second highest CAGR for Artificial Intelligence (chipsets) market."

The automotive industry is rapidly progressing towards autonomous driving capabilities. AI (chipsets) are essential for powering the complex algorithms and sensor fusion required for autonomous vehicles to perceive their environment, make decisions, and control their movements. These chipsets enable real-time data processing from sensors like cameras, radar, lidar, and ultrasonic sensors, ensuring accurate perception and safe navigation. Additionally, AI (chipsets) play a vital role in driver assistance systems, enhancing safety features such as collision avoidance, lane keeping, and adaptive cruise control.

"China to grow at the highest CAGR for Asia Pacific Artificial Intelligence (chipsets) market."

The Chinese government has recognized the strategic importance of AI and has made it a priority in its national development plans. The government has launched initiatives such as the "New Generation Artificial Intelligence Development Plan" and the "AI 2.0 Development Plan" to foster AI research, innovation, and industrial development. These initiatives provide funding, incentives, and policy support to AI chipset companies, encouraging their growth and driving the overall market.

The study contains various industry experts' insights, from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:

  • By Company Type: Tier 1 - 45%, Tier 2 - 32%, and Tier 3 - 23%
  • By Designation: C-level Executives - 30%, Directors - 45%, and Others - 25%
  • By Region: North America - 26%, Europe - 40%, Asia Pacific - 22%, RoW - 12%

The key players operating in the Artificial Intelligence (chipsets) market are Intel Corporation (US), Nvidia Corporation (US), Qualcomm Technologies Inc. (US), Micron Technology, Inc. (US), and Advanced Micro Devices, Inc. (US).

Research Coverage:

The research report categorizes the Artificial Intelligence (chipsets) market by technology (Machine Learning, Natural Language Processing, Context-Aware, Computer Vision, and Predictive Analysis), by function ( Inference, Training ), by hardware (Processor, Memory, and Network), by end-user industry (Healthcare, Manufacturing, Automotive, Agriculture, Retail, Cybersecurity, Human Resources, Marketing, Law, Fintech and Government), and by region (North America, Europe, Asia Pacific, and RoW). The scope of the report covers detailed information regarding the major factors, such as drivers, restraints, challenges, and opportunities, influencing the growth of the Artificial Intelligence (chipsets) market. A detailed analysis of the key industry players has been done to provide insights into their business overviews, products, key strategies, Contracts, partnerships, and agreements. New product & service launches, mergers and acquisitions, and recent developments associated with the Artificial Intelligence (chipsets) market. This report covers the competitive analysis of upcoming startups in the Artificial Intelligence (chipsets) market ecosystem.

Key Benefits of Buying the Report

  • Analysis of critical drivers (increasing data traffic and need for high computing power, the emerging trend of autonomous vehicles, increasing adoption of industrial robots, and rising focus on parallel computing in AI data centers), restraints (Lack of AI hardware experts and skilled workforce), opportunities (surging demand for AI-based FPGA, growing adoption of AI-based solutions for defense systems, and the growing potential of AI-based tools for healthcare systems), and challenges (data privacy concerns in AI platforms, unreliability of AI algorithms, and availability of limited structured data to train and develop efficient AI systems) influencing the growth of the Artificial Intelligence (chipsets) market.
  • Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product launches in the Artificial Intelligence (chipsets) market
  • Market Development: Comprehensive information about lucrative markets - the report analyses the Artificial Intelligence (chipsets) market across varied regions.
  • Market Diversification: Exhaustive information about new products, untapped geographies, recent developments, and investments in the Artificial Intelligence (chipsets) market
  • Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players like Intel Corporation (US), Nvidia Corporation (US), Qualcomm Technologies Inc. (US), Micron Technology, Inc. (US), Advanced Micro Devices, Inc. (US), among others in the Artificial Intelligence (chipsets) market.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
    • 1.2.1 INCLUSIONS AND EXCLUSIONS
  • 1.3 STUDY SCOPE
    • 1.3.1 MARKETS COVERED
    • FIGURE 1 AI CHIPSETS MARKET SEGMENTATION
    • 1.3.2 REGIONAL SCOPE
    • 1.3.3 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 STAKEHOLDERS
  • 1.6 SUMMARY OF CHANGES
  • 1.7 RECESSION IMPACT
    • FIGURE 2 GDP GROWTH PROJECTION UNTIL 2023 FOR MAJOR ECONOMIES
    • FIGURE 3 PROJECTIONS FOR AI CHIPSETS MARKET, 2019-2028

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 4 AI CHIPSETS MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY DATA
      • 2.1.1.1 Major secondary sources
      • 2.1.1.2 Key data from secondary sources
    • 2.1.2 PRIMARY DATA
      • 2.1.2.1 Primary interviews with experts
      • 2.1.2.2 Key data from primary sources
      • 2.1.2.3 Key industry insights
      • 2.1.2.4 Breakdown of primaries
    • 2.1.3 SECONDARY AND PRIMARY RESEARCH
  • 2.2 MARKET SIZE ESTIMATION
    • FIGURE 5 RESEARCH FLOW FOR MARKET SIZE ESTIMATION
    • FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE GENERATED FROM SALES OF AI CHIPSETS
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Approach to derive market size using bottom-up analysis
    • FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to derive market size using top-down analysis
    • FIGURE 8 TOP-DOWN APPROACH
  • 2.3 DATA TRIANGULATION
    • FIGURE 9 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 RISK ASSESSMENT
    • TABLE 1 RISK FACTOR ANALYSIS
  • 2.6 ASSUMPTIONS TO ANALYZE RECESSION IMPACT
    • TABLE 2 ASSUMPTIONS: RECESSION IMPACT
  • 2.7 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

  • 3.1 GROWTH RATE ASSUMPTIONS/FORECAST
    • FIGURE 10 PROCESSOR SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD
    • FIGURE 11 COMPUTER VISION SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD
    • FIGURE 12 INFERENCE SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD
    • FIGURE 13 MANUFACTURING SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD
    • FIGURE 14 ASIA PACIFIC TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI CHIPSETS MARKET
    • FIGURE 15 RISING GOVERNMENT-LED INITIATIVES TO BOOST INDUSTRIAL AUTOMATION
  • 4.2 NORTH AMERICAN AI CHIPSETS MARKET, BY HARDWARE AND COUNTRY
    • FIGURE 16 PROCESSOR SEGMENT AND US TO DOMINATE NORTH AMERICAN AI CHIPSETS MARKET BETWEEN 2023 AND 2028
  • 4.3 AI CHIPSETS MARKET, BY PROCESSOR
    • FIGURE 17 CPU SEGMENT TO HOLD LARGEST SHARE OF AI CHIPSETS MARKET IN 2028
  • 4.4 AI CHIPSETS MARKET, BY COUNTRY
    • FIGURE 18 CHINA TO REGISTER HIGHEST CAGR IN AI CHIPSETS MARKET BETWEEN 2023 AND 2028

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 19 AI CHIPSETS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
      • 5.2.1.1 Increasing data traffic and need for high computing power
      • 5.2.1.2 Emerging trend of autonomous vehicles
      • 5.2.1.3 Growing adoption of industrial robots
      • 5.2.1.4 Rising focus on parallel computing in AI data centers
    • FIGURE 20 AI CHIPSETS MARKET: IMPACT ANALYSIS OF DRIVERS
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Lack of AI hardware experts and skilled workforce
    • FIGURE 21 AI CHIPSETS MARKET: IMPACT ANALYSIS OF RESTRAINTS
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Surging demand for AI-based field programmable gate array (FPGA) technology
      • 5.2.3.2 Integration of AI-based solutions into defense systems
      • 5.2.3.3 Growing potential of AI-based tools in healthcare sector
    • FIGURE 22 AI CHIPSETS MARKET: IMPACT ANALYSIS OF OPPORTUNITIES
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Data privacy concerns associated with AI platforms
      • 5.2.4.2 Unreliability of AI algorithms
      • 5.2.4.3 Availability of limited structured data to develop efficient AI systems
    • FIGURE 23 AI CHIPSETS MARKET: IMPACT ANALYSIS OF CHALLENGES
  • 5.3 VALUE CHAIN ANALYSIS
    • FIGURE 24 AI CHIPSETS MARKET: VALUE CHAIN ANALYSIS
  • 5.4 ECOSYSTEM ANALYSIS
    • FIGURE 25 AI CHIPSETS MARKET: ECOSYSTEM ANALYSIS
    • TABLE 3 AI CHIPSETS MARKET: ROLE OF COMPANIES
  • 5.5 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 4 AI CHIPSETS MARKET: PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 26 AI CHIPSETS MARKET: PORTER'S FIVE FORCES ANALYSIS
    • 5.5.1 THREAT OF NEW ENTRANTS
    • 5.5.2 THREAT OF SUBSTITUTES
    • 5.5.3 BARGAINING POWER OF SUPPLIERS
    • 5.5.4 BARGAINING POWER OF BUYERS
    • 5.5.5 INTENSITY OF COMPETITION RIVALRY
  • 5.6 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.6.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USER INDUSTRIES
    • TABLE 5 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USER INDUSTRIES (%)
    • 5.6.2 BUYING CRITERIA
    • FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE END-USER INDUSTRIES
    • TABLE 6 KEY BUYING CRITERIA FOR TOP THREE END-USER INDUSTRIES
  • 5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
    • FIGURE 29 REVENUE SHIFT AND NEW REVENUE POCKETS FOR PLAYERS IN AI CHIPSETS MARKET
  • 5.8 CASE STUDY ANALYSIS
    • TABLE 7 DFI'S "INDUSTRIAL PI" SINGLE-BOARD COMPUTER LEVERAGES AMD RYZEN EMBEDDED PROCESSORS
    • TABLE 8 EXOR INTERNATIONAL DEVELOPS SMART FACTORY SOLUTIONS USING INTEL PROCESSOR
    • TABLE 9 INTEL XEON SCALABLE PROCESSORS POWER TENCENT CLOUD'S XIAOWEI INTELLIGENT SPEECH AND VIDEO SERVICE ACCESS PLATFORM
    • TABLE 10 AIC HELPS WESTERN DIGITAL ENHANCE SSD TESTING AND VALIDATION EFFICIENCY USING AMD PROCESSOR
    • TABLE 11 BARCO EXPANDED PORTFOLIO OF COLLABORATION SOLUTIONS USING AMD PROCESSOR
  • 5.9 TECHNOLOGY ANALYSIS
    • 5.9.1 KEY TECHNOLOGIES
    • TABLE 12 COMPARISON BETWEEN AI CHIP TYPES
    • 5.9.2 ADJACENT TECHNOLOGIES
      • 5.9.2.1 Cloud GPU
    • 5.9.3 COMPLEMENTARY TECHNOLOGIES
      • 5.9.3.1 Cognitive robots
      • 5.9.3.2 Internet of Things (IoT)
  • 5.10 AVERAGE SELLING PRICE (ASP) ANALYSIS
    • FIGURE 30 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY END-USER INDUSTRY
    • 5.10.1 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY KEY END-USER INDUSTRIES (USD)
    • TABLE 13 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY KEY END-USER INDUSTRIES (USD)
    • 5.10.2 AVERAGE SELLING PRICE (ASP) TRENDS
    • FIGURE 31 AVERAGE SELLING PRICE (ASP) ANALYSIS
    • TABLE 14 PRICE COMPARISON OF AI CHIPSETS OFFERED BY LEADING COMPANIES
  • 5.11 PATENT ANALYSIS
    • FIGURE 32 NUMBER OF PATENTS GRANTED IN AI CHIPSETS MARKET, 2012-2022
    • TABLE 15 AI CHIPSETS MARKET: LIST OF MAJOR PATENTS
  • 5.12 TRADE ANALYSIS
    • TABLE 16 IMPORT DATA, BY COUNTRY, 2017-2021 (USD MILLION)
    • FIGURE 33 IMPORT DATA, BY COUNTRY, 2017-2021 (USD MILLION)
    • TABLE 17 EXPORT DATA, BY COUNTRY, 2017-2021 (USD MILLION)
    • FIGURE 34 EXPORT DATA, BY COUNTRY, 2017-2021 (USD MILLION)
  • 5.13 TARIFF ANALYSIS
    • TABLE 18 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY CHINA
    • TABLE 19 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY US
    • TABLE 20 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY GERMANY
  • 5.14 STANDARDS AND REGULATORY LANDSCAPE
    • 5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 21 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 22 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 23 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • TABLE 24 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
    • 5.14.2 STANDARDS AND REGULATIONS RELATED TO AI CHIPSETS MARKET
  • 5.15 KEY CONFERENCES AND EVENTS, 2023-2024
    • TABLE 25 AI CHIPSETS MARKET: CONFERENCES AND EVENTS

6 AI CHIPSETS MARKET, BY HARDWARE

  • 6.1 INTRODUCTION
    • FIGURE 35 MEMORY SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 26 AI CHIPSETS MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 27 AI CHIPSETS MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
  • 6.2 PROCESSOR
    • TABLE 28 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2019-2022 (USD MILLION)
    • TABLE 29 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2023-2028 (USD MILLION)
    • TABLE 30 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2019-2022 (MILLION UNITS)
    • TABLE 31 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2023-2028 (MILLION UNITS)
    • TABLE 32 PROCESSOR: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 33 PROCESSOR: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 34 PROCESSOR: AI CHIPSETS MARKET, BY FUNCTION, 2019-2022 (USD MILLION)
    • TABLE 35 PROCESSOR: AI CHIPSETS MARKET, BY FUNCTION, 2023-2028 (USD MILLION)
    • 6.2.1 GRAPHIC PROCESSING UNIT (GPU)
      • 6.2.1.1 Provides higher bandwidth than CPUs
    • 6.2.2 FIELD PROGRAMMABLE GATE ARRAY (FPGA)
      • 6.2.2.1 Can be reconfigured and reprogrammed as per requirement
    • 6.2.3 CENTRAL PROCESSING UNIT (CPU)
      • 6.2.3.1 Cost-effective and can handle certain AI algorithms
    • 6.2.4 APPLICATION-SPECIFIC INTEGRATED CIRCUIT (ASIC)
      • 6.2.4.1 Offers user-specific customized solutions
  • 6.3 MEMORY
    • 6.3.1 DEVELOPED AND DEPLOYED FOR AI APPLICATIONS AND INDEPENDENT OF COMPUTING ARCHITECTURE
    • TABLE 36 MEMORY: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 37 MEMORY: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 38 MEMORY: AI CHIPSETS MARKET, BY FUNCTION, 2019-2022 (USD MILLION)
    • TABLE 39 MEMORY: AI CHIPSETS MARKET, BY FUNCTION, 2023-2028 (USD MILLION)
  • 6.4 NETWORK
    • 6.4.1 HELPS TROUBLESHOOT PROBLEMS QUICKLY
    • TABLE 40 NETWORK: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 41 NETWORK: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
    • TABLE 42 NETWORK: AI CHIPSETS MARKET, BY FUNCTION, 2019-2022 (USD MILLION)
    • TABLE 43 NETWORK: AI CHIPSETS MARKET, BY FUNCTION, 2023-2028 (USD MILLION)

7 AI CHIPSETS MARKET, BY TECHNOLOGY

  • 7.1 INTRODUCTION
    • FIGURE 36 COMPUTER VISION SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 44 AI CHIPSETS MARKET, BY TECHNOLOGY, 2019-2022 (USD MILLION)
    • TABLE 45 AI CHIPSETS MARKET, BY TECHNOLOGY, 2023-2028 (USD MILLION)
  • 7.2 MACHINE LEARNING
    • 7.2.1 DEEP LEARNING
      • 7.2.1.1 Uses artificial neural networks to learn multiple levels of data
    • 7.2.2 SUPERVISED LEARNING
      • 7.2.2.1 Helps in classification and regression of major applications of supervised learning
    • 7.2.3 UNSUPERVISED LEARNING
      • 7.2.3.1 Includes clustering methods consisting of algorithms with unlabeled training data
    • 7.2.4 REINFORCEMENT LEARNING
      • 7.2.4.1 Allows systems and software to determine ideal behavior to maximize system performance
    • 7.2.5 OTHERS
  • 7.3 NATURAL LANGUAGE PROCESSING
    • 7.3.1 OFFERS REAL-TIME TRANSLATION AND ALLOWS USERS TO COMMUNICATE IN NATURAL LANGUAGE WITH SYSTEMS
  • 7.4 CONTEXT-AWARE COMPUTING
    • 7.4.1 USES SUPPLEMENTAL INFORMATION TO IMPROVE SECURITY DECISIONS
  • 7.5 COMPUTER VISION
    • 7.5.1 GIVES HUMAN-LIKE CAPABILITIES TO MACHINES, ROBOTS, AND COMPUTERS
  • 7.6 PREDICTIVE ANALYSIS
    • 7.6.1 WIDELY USED IN HEALTHCARE AND AGRICULTURE INDUSTRIES TO ANALYZE CURRENT DATA AND PREDICT RESULTS OF UNKNOWN FUTURE EVENTS

8 AI CHIPSETS MARKET, BY FUNCTION

  • 8.1 INTRODUCTION
    • FIGURE 37 TRAINING SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD
    • TABLE 46 AI CHIPSETS MARKET, BY FUNCTION, 2019-2022 (USD MILLION)
    • TABLE 47 AI CHIPSETS MARKET, BY FUNCTION, 2023-2028 (USD MILLION)
  • 8.2 TRAINING
    • 8.2.1 COMPUTATIONALLY INTENSIVE AND BEST ACCELERATED WITH GPUS
    • TABLE 48 TRAINING: AI CHIPSETS MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 49 TRAINING: AI CHIPSETS MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
  • 8.3 INFERENCE
    • 8.3.1 ON-PREMISES INFERENCE PLATFORM USED TO GAIN FASTER RESULTS THAN CLOUD
    • TABLE 50 INFERENCE: AI CHIPSETS MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 51 INFERENCE: AI CHIPSETS MARKET, BY HARDWARE, 2023-2028 (USD MILLION)

9 AI CHIPSETS MARKET, BY END-USER INDUSTRY

  • 9.1 INTRODUCTION
    • FIGURE 38 HEALTHCARE SEGMENT TO HOLD LARGEST MARKET SHARE IN 2028
    • TABLE 52 AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 53 AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023-2028 (USD MILLION)
  • 9.2 HEALTHCARE
    • 9.2.1 GROWING USE OF MACHINE LEARNING (ML) AND DEEP LEARNING (DL) MODELS
    • TABLE 54 HEALTHCARE: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 55 HEALTHCARE: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.3 MANUFACTURING
    • 9.3.1 GROWING DEMAND FOR AI CHIPSETS IN QUALITY CONTROL AND PREDICTIVE MAINTENANCE
    • TABLE 56 MANUFACTURING: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 57 MANUFACTURING: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.4 AUTOMOTIVE
    • 9.4.1 RISING ADOPTION OF ADVANCED TECHNOLOGIES
    • TABLE 58 AUTOMOTIVE: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 59 AUTOMOTIVE: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.5 AGRICULTURE
    • 9.5.1 INCREASING USE OF MACHINE LEARNING (ML) AND COMPUTER VISION TECHNOLOGIES TO DIAGNOSE, MAP, AND EVALUATE CROP HEALTH
    • TABLE 60 AGRICULTURE: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 61 AGRICULTURE: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.6 RETAIL
    • 9.6.1 GROWING ADOPTION OF AI TO ENHANCE CUSTOMER EXPERIENCE
    • TABLE 62 RETAIL: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 63 RETAIL: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.7 CYBERSECURITY
    • 9.7.1 RISING CYBERSECURITY THREATS
    • TABLE 64 CYBERSECURITY: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 65 CYBERSECURITY: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.8 HUMAN RESOURCES
    • 9.8.1 INCREASING DEPLOYMENT OF AI TO RESHAPE OPERATIONS OF COMPANIES
    • TABLE 66 HUMAN RESOURCES: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 67 HUMAN RESOURCES: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.9 MARKETING
    • 9.9.1 RISING USE OF AI TO OFFER PROGRAMMATIC TRENDS TO MARKETERS
    • TABLE 68 MARKETING: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 69 MARKETING: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.10 LAW
    • 9.10.1 RISING DEPLOYMENT TO INCREASE PRODUCTIVITY AND MARGINS
    • TABLE 70 LAW: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 71 LAW: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.11 FINTECH
    • 9.11.1 INCREASED USE BY FINTECH COMPANIES TO DESIGN INVESTMENT STRATEGIES
    • TABLE 72 FINTECH: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 73 FINTECH: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 9.12 GOVERNMENT
    • 9.12.1 GROWING ADOPTION OF AI TO TACKLE CYBERTERRORISM
    • TABLE 74 GOVERNMENT: AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 75 GOVERNMENT: AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)

10 AI CHIPSETS MARKET, BY REGION

  • 10.1 INTRODUCTION
    • FIGURE 39 ASIA PACIFIC TO HOLD LARGEST SHARE OF AI CHIPSETS MARKET DURING FORECAST PERIOD
    • TABLE 76 AI CHIPSETS MARKET, BY REGION, 2019-2022 (USD MILLION)
    • TABLE 77 AI CHIPSETS MARKET, BY REGION, 2023-2028 (USD MILLION)
  • 10.2 NORTH AMERICA
    • 10.2.1 NORTH AMERICA: RECESSION IMPACT
    • FIGURE 40 NORTH AMERICA: SNAPSHOT OF AI CHIPSETS MARKET
    • TABLE 78 NORTH AMERICA: AI CHIPSETS MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 79 NORTH AMERICA: AI CHIPSETS MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 80 NORTH AMERICA: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 81 NORTH AMERICA: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 82 NORTH AMERICA: AI CHIPSETS MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 83 NORTH AMERICA: AI CHIPSETS MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.2.2 US
      • 10.2.2.1 Innovations and initiatives to fuel adoption of advanced technologies
    • 10.2.3 CANADA
      • 10.2.3.1 High investments in research and development (R&D)
    • 10.2.4 MEXICO
      • 10.2.4.1 Growing penetration of AI into security and BFSI sectors
  • 10.3 EUROPE
    • 10.3.1 EUROPE: RECESSION IMPACT
    • FIGURE 41 EUROPE: SNAPSHOT OF AI CHIPSETS MARKET
    • TABLE 84 EUROPE: AI CHIPSETS MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 85 EUROPE: AI CHIPSETS MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 86 EUROPE: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 87 EUROPE: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 88 EUROPE: AI CHIPSETS MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 89 EUROPE: AI CHIPSETS MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.3.2 UK
      • 10.3.2.1 Government initiatives to increase adoption of AI
    • 10.3.3 GERMANY
      • 10.3.3.1 Growing adoption of cloud computing and Industry 4.0 technologies
    • 10.3.4 FRANCE
      • 10.3.4.1 Rising investments by venture capitalists in startups to develop AI ecosystem
    • 10.3.5 REST OF EUROPE
  • 10.4 ASIA PACIFIC
    • 10.4.1 ASIA PACIFIC: RECESSION IMPACT
    • FIGURE 42 ASIA PACIFIC: SNAPSHOT OF AI CHIPSETS MARKET
    • TABLE 90 ASIA PACIFIC: AI CHIPSETS MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 91 ASIA PACIFIC: AI CHIPSETS MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 92 ASIA PACIFIC: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 93 ASIA PACIFIC: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 94 ASIA PACIFIC: AI CHIPSETS MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 95 ASIA PACIFIC: AI CHIPSETS MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.4.2 CHINA
      • 10.4.2.1 Significant untapped AI opportunities
    • 10.4.3 JAPAN
      • 10.4.3.1 Expanding finance, healthcare, retail, automotive, and transportation sectors
    • 10.4.4 INDIA
      • 10.4.4.1 Increasing number of AI startups
    • 10.4.5 SOUTH KOREA
      • 10.4.5.1 Growing need for enhanced AI infrastructure
    • 10.4.6 REST OF ASIA PACIFIC
  • 10.5 ROW
    • 10.5.1 ROW: RECESSION IMPACT
    • TABLE 96 ROW: AI CHIPSETS MARKET, BY HARDWARE, 2019-2022 (USD MILLION)
    • TABLE 97 ROW: AI CHIPSETS MARKET, BY HARDWARE, 2023-2028 (USD MILLION)
    • TABLE 98 ROW: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019-2022 (USD MILLION)
    • TABLE 99 ROW: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023-2028 (USD MILLION)
    • TABLE 100 ROW: AI CHIPSETS MARKET, BY COUNTRY, 2019-2022 (USD MILLION)
    • TABLE 101 ROW: AI CHIPSETS MARKET, BY COUNTRY, 2023-2028 (USD MILLION)
    • 10.5.2 SOUTH AMERICA
      • 10.5.2.1 Increased availability of computing services
    • 10.5.3 MIDDLE EAST & AFRICA
      • 10.5.3.1 Rise in smart mobile data traffic

11 COMPETITIVE LANDSCAPE

  • 11.1 INTRODUCTION
  • 11.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS
    • TABLE 102 OVERVIEW OF STRATEGIES ADOPTED BY COMPANIES IN AI CHIPSETS MARKET
  • 11.3 COMPANY REVENUE ANALYSIS, 2020-2022
    • FIGURE 43 THREE-YEAR REVENUE ANALYSIS OF TOP FIVE MARKET PLAYERS
  • 11.4 MARKET SHARE ANALYSIS, 2022
    • FIGURE 44 MARKET SHARES OF LEADING PLAYERS IN AI CHIPSETS MARKET, 2022
    • TABLE 103 AI CHIPSETS MARKET: DEGREE OF COMPETITION
  • 11.5 COMPANY EVALUATION QUADRANT, 2022
    • 11.5.1 STARS
    • 11.5.2 EMERGING LEADERS
    • 11.5.3 PERVASIVE PLAYERS
    • 11.5.4 PARTICIPANTS
    • FIGURE 45 AI CHIPSETS MARKET (GLOBAL): COMPANY EVALUATION QUADRANT, 2022
  • 11.6 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT, 2022
    • 11.6.1 PROGRESSIVE COMPANIES
    • 11.6.2 RESPONSIVE COMPANIES
    • 11.6.3 DYNAMIC COMPANIES
    • 11.6.4 STARTING BLOCKS
    • FIGURE 46 AI CHIPSETS MARKET: SMES EVALUATION QUADRANT, 2022
  • 11.7 COMPETITIVE BENCHMARKING
    • TABLE 104 COMPANY FOOTPRINT
    • TABLE 105 HARDWARE: COMPANY FOOTPRINT
    • TABLE 106 END-USER INDUSTRY: COMPANY FOOTPRINT
    • TABLE 107 REGION: COMPANY FOOTPRINT
  • 11.8 STARTUP EVALUATION QUADRANT, 2022
    • 11.8.1 LIST OF STARTUPS
    • TABLE 108 STARTUP MATRIX: DETAILED LIST OF KEY STARTUPS
    • 11.8.2 COMPETITIVE BENCHMARKING OF KEY STARTUPS
    • TABLE 109 OVERALL STARTUP FOOTPRINT
    • TABLE 110 HARDWARE: STARTUP FOOTPRINT
    • TABLE 111 END-USER INDUSTRY: STARTUP FOOTPRINT
    • TABLE 112 REGION: STARTUP FOOTPRINT
  • 11.9 COMPETITIVE SCENARIO AND TRENDS
    • TABLE 113 AI CHIPSETS MARKET: PRODUCT LAUNCHES, AUGUST 2019-NOVEMBER 2022
    • TABLE 114 AI CHIPSETS MARKET: DEALS, OCTOBER 2020-DECEMBER 2022

12 COMPANY PROFILES

  • (Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats))**
  • 12.1 KEY PLAYERS
    • 12.1.1 INTEL CORPORATION
    • TABLE 115 INTEL CORPORATION: COMPANY OVERVIEW
    • FIGURE 47 INTEL CORPORATION: COMPANY SNAPSHOT
    • TABLE 116 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 117 INTEL CORPORATION: PRODUCT LAUNCHES
    • TABLE 118 INTEL CORPORATION: DEALS
    • 12.1.2 NVIDIA CORPORATION
    • TABLE 119 NVIDIA CORPORATION: COMPANY OVERVIEW
    • FIGURE 48 NVIDIA CORPORATION: COMPANY SNAPSHOT
    • TABLE 120 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 121 NVIDIA CORPORATION: PRODUCT LAUNCHES
    • TABLE 122 NVIDIA CORPORATION: DEALS
    • 12.1.3 QUALCOMM TECHNOLOGIES, INC.
    • TABLE 123 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW
    • FIGURE 49 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT
    • TABLE 124 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 125 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES
    • TABLE 126 QUALCOMM TECHNOLOGIES, INC.: DEALS
    • 12.1.4 MICRON TECHNOLOGY, INC.
    • TABLE 127 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW
    • FIGURE 50 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT
    • TABLE 128 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 129 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES
    • TABLE 130 MICRON TECHNOLOGY, INC.: DEALS
    • 12.1.5 ADVANCED MICRO DEVICES, INC.
    • TABLE 131 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW
    • FIGURE 51 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT
    • TABLE 132 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 133 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES
    • TABLE 134 ADVANCED MICRO DEVICES, INC.: DEALS
    • 12.1.6 SAMSUNG ELECTRONICS CO., LTD.
    • TABLE 135 SAMSUNG ELECTRONICS CO., LTD.: COMPANY OVERVIEW
    • FIGURE 52 SAMSUNG ELECTRONICS CO., LTD.: COMPANY SNAPSHOT
    • TABLE 136 SAMSUNG ELECTRONICS CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 137 SAMSUNG ELECTRONICS CO., LTD.: PRODUCT LAUNCHES
    • TABLE 138 SAMSUNG ELECTRONICS CO., LTD.: DEALS
    • 12.1.7 APPLE INC.
    • TABLE 139 APPLE INC.: COMPANY OVERVIEW
    • FIGURE 53 APPLE INC.: COMPANY SNAPSHOT
    • TABLE 140 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 141 APPLE INC.: PRODUCT LAUNCHES
    • 12.1.8 IBM
    • TABLE 142 IBM: COMPANY OVERVIEW
    • FIGURE 54 IBM: COMPANY SNAPSHOT
    • TABLE 143 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 144 IBM: PRODUCT LAUNCHES
    • TABLE 145 IBM: DEALS
    • 12.1.9 ALPHABET INC.
    • TABLE 146 ALPHABET INC.: COMPANY OVERVIEW
    • FIGURE 55 ALPHABET INC.: COMPANY SNAPSHOT
    • TABLE 147 ALPHABET INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 148 ALPHABET INC.: PRODUCT LAUNCHES
    • TABLE 149 ALPHABET INC.: DEALS
    • 12.1.10 HUAWEI TECHNOLOGIES CO., LTD.
    • TABLE 150 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW
    • FIGURE 56 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY SNAPSHOT
    • TABLE 151 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 152 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT LAUNCHES
    • TABLE 153 HUAWEI TECHNOLOGIES CO., LTD.: DEALS
  • 12.2 OTHER PLAYERS
    • 12.2.1 GRAPHCORE
    • 12.2.2 MEDIATEK INC.
    • 12.2.3 MYTHIC
    • 12.2.4 KALRAY
    • 12.2.5 ARM LIMITED
    • 12.2.6 BLAIZE
    • 12.2.7 LG ELECTRONICS
    • 12.2.8 IMAGINATION TECHNOLOGIES
    • 12.2.9 GROQ, INC.
    • 12.2.10 HAILO
    • 12.2.11 CEREBRAS
    • 12.2.12 XMOS
    • 12.2.13 GREENWAVE TECHNOLOGIES
    • 12.2.14 SIMA TECHNOLOGIES, INC.
    • 12.2.15 KNERON, INC.
  • *Details on Business Overview, Products/Solutions/Services Offered, Recent Developments, and MnM View (Key strengths/Right to Win, Strategic Choices Made, and Weaknesses and Competitive Threats) might not be captured in case of unlisted companies.

13 APPENDIX

  • 13.1 DISCUSSION GUIDE
  • 13.2 KNOWLEDGESTORE: MARKETSANDMARKETS SUBSCRIPTION PORTAL
  • 13.3 CUSTOMIZATION OPTIONS
  • 13.4 RELATED REPORTS
  • 13.5 AUTHOR DETAILS