市場調査レポート
商品コード
1147405

エッジAIハードウェアの世界市場:デバイス別、プロセッサー別(CPU、GPU、ASIC)、機能別、消費電力別(1W未満、1~3W、3~5W、5~10W、10W超)、業種別、地域別 - 2027年までの予測

Edge AI Hardware Market by Device, Processor(CPU, GPU, and ASIC), Function, Power Consumption( Less than 1 W, 1-3 W, 3-5 W, 5-10 W, and more than 10 W), Vertical and Geography - Global Forecast to 2027

出版日: | 発行: MarketsandMarkets | ページ情報: 英文 238 Pages | 納期: 即納可能 即納可能とは

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価格
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本日の銀行送金レート: 1USD=154.46円
エッジAIハードウェアの世界市場:デバイス別、プロセッサー別(CPU、GPU、ASIC)、機能別、消費電力別(1W未満、1~3W、3~5W、5~10W、10W超)、業種別、地域別 - 2027年までの予測
出版日: 2022年10月24日
発行: MarketsandMarkets
ページ情報: 英文 238 Pages
納期: 即納可能 即納可能とは
  • 全表示
  • 概要
  • 目次
概要

世界のエッジAIハードウェアの市場規模は、10億5,600万ユニットから2027年までに27億1,600万ユニットに達し、予測期間中にCAGRで20.8%の成長が予測されています。

エッジAIハードウェア市場の主な機会としては、IoTベースのエッジコンピューティングソリューションに対する需要の高まりや、ITと通信を結びつける5Gネットワークの採用拡大、オンデバイス画像解析のための専用AIプロセッサーなどが挙げられます。市場の主な抑制要因は、オンデバイスでのトレーニングの制限とAI専門家の不足です。効率的なAIシステムの設計は、エッジAIハードウェア市場に大きな課題をもたらします。

トレーニングは、予測期間中に2番目に高いCAGRを示す

トレーニングは、出力を推論するために使用されるアルゴリズムを開発するプロセスです。MLモデルは、データセットを理解し、新しいデータに対して行動する能力を開発するようにトレーニングされています。トレーニングには高い計算能力が必要なため、デバイス上で実際の学習は行われません。モバイル端末は高性能なコンピューティングがないため、MLモデルの学習はクラウド上で行われます。また、アプリケーションごとにオンデバイスでの学習が必要なわけではなく、車載システムやロボットなど特定のデバイスに限定されることになります。その利点を考慮すると、オンデバイストレーニングは今後数年間で増加することが予想されます。オンデバイス学習機能により、デバイス上で利用可能なユーザーのデータからモデルを学習させることができ、データの安全性を高めることができます。オンデバイス学習機能により、MLモデルは継続的に学習・更新することができます。

予測期間中、北米では米国が最も高いCAGRで成長する

北米のエッジAIハードウェアを扱う企業にとって、米国は主要な収益源です。米国は、スマートフォンやスマート家電、IoTデバイスやウェアラブルエレクトロニクス、高セキュリティ機能を備えた自動車などの先端製品の需要が高く、AIアプリケーションプロセッサーの主要市場です。米国政府は、コンシューマーエレクトロニクス、医療、政府など様々な分野で機械学習ソリューションに多額の投資を行うことを発表しています。豊富な資金と米国政府の強力なサポートが、ML/AIソリューションの大規模な導入に寄与しています。米国のデータセンター産業は、人工知能と技術的進歩への投資の高まりとともに成長を続けています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要

  • イントロダクション
  • 市場力学
    • 促進要因
    • 抑制要因
    • 機会
    • 課題
  • 進化
  • バリューチェーン分析
  • ケーススタディ分析
  • 技術分析
  • ポーターのファイブフォース分析
  • エッジ AI市場エコシステム
  • 特許分析
  • 関税と規制状況
  • 貿易と関税分析
  • 顧客ビジネスに影響を与える市場動向/混乱
  • 主な会議とイベント
  • 価格分析
  • 主な利害関係者と購入基準

第6章 エッジAIハードウェア市場:デバイス別

  • イントロダクション
  • スマートフォン
  • 監視カメラ
  • ロボット
  • ウェアラブル
  • エッジサーバー
  • スマートスピーカー
  • 自動車
  • スマートミラー

第7章 エッジAIハードウェア市場:消費電力別

  • イントロダクション
  • 1W未満
  • 1~3W
  • 3~5W
  • 5~10W
  • 10W超

第8章 エッジAIハードウェア市場:プロセッサー別

  • イントロダクション
  • CPU
  • GPU
  • ASIC
  • その他

第9章 エッジAIハードウェア市場:機能別

  • イントロダクション
  • トレーニング
  • 推論

第10章 エッジAIハードウェア市場:業種別

  • イントロダクション
  • コンシューマーエレクトロニクス
  • スマートホーム
  • 自動車・輸送
  • 政府
  • 医療
  • 工業
  • 航空宇宙・防衛
  • 建設
  • その他

第11章 エッジAIハードウェア市場:地域別

  • イントロダクション
  • 北米
    • 米国
    • カナダ
    • メキシコ
  • 欧州
    • ドイツ
    • 英国
    • フランス
    • その他
  • アジア太平洋地域
    • 中国
    • 日本
    • 韓国
    • その他
  • その他の地域
    • 中東・アフリカ
    • 南米

第12章 競合情勢

  • イントロダクション
  • 主要企業が採用した戦略
  • 市場シェア分析
  • 収益分析
  • 企業の評価象限
  • 新興企業/中小企業の評価象限
  • 競合シナリオと動向

第13章 企業プロファイル

  • 主要企業
    • QUALCOMM TECHNOLOGIES
    • HUAWEI TECHNOLOGIES CO., LTD.
    • SAMSUNG ELECTRONICS
    • APPLE
    • MEDIATEK
    • INTEL
    • NVIDIA
    • IBM
    • MICRON TECHNOLOGY
    • AMD
    • GOOGLE
    • MICROSOFT
  • その他の企業
    • IMAGINATION TECHNOLOGIES
    • CAMBRICON TECHNOLOGIES
    • TENSTORRENT
    • BLAIZE
    • GENERAL VISION
    • MYTHIC
    • ZERO ASIC
    • APPLIED BRAIN RESEARCH
    • HORIZON ROBOTICS
    • CEVA
    • GRAPHCORE
    • SAMBANOVA
    • HAILO
    • VERIDIFY SECURITY INC.

第14章 付録

目次
Product Code: SE 7017

The edge AI hardware market is projected to grow from 1,056 Million Units to reach 2,716 million units by 2027; it is expected to grow at a CAGR of 20.8% during the forecast period. The major opportunities for the edge AI hardware market include the growing demand for IoT-based edge computing solutions and the rising adoption of 5G networks to bring IT and telecom together and dedicated AI processors for on-device image analytics. Major restraints for the market are limited on-device training and the shortage of AI experts. Designing efficient AI system pose major challenges to the edge AI hardware market.

Training to have second highest CAGR during the forecast period.

Training is the process of developing an algorithm that will be used to infer the output. ML models are trained to develop the ability to understand a data set and act on new data. No actual learning happens on devices as training requires high computational power. As mobile devices do not have high-performance computing, ML models are trained on the cloud. Moreover, on-device training is not required for each application, and it will be limited to certain devices such as automotive systems and robots. Considering its advantages, on-device training is expected to increase in the next few years. With on-device training capability, a model can learn from a user's data available on the device, making the data more secure. With on-device training, an ML model can learn and update continuously.

US to grow with highest CAGR in North America during the forecast period.

The US is the major revenue generator for players dealing in edge AI hardware in North America. The US is a key market for AI application processors as the demand for smartphones, smart home appliances, and advanced products such as IoT devices, wearable electronics, and vehicles with high-security features is high in the country. The US government has announced significant investments in machine learning solutions across various sectors, including consumer electronics, healthcare, and government. The abundance of capital and strong support of the US government contribute to the large-scale adoption of ML/AI solutions. The country's data center industry continues to grow with rising investments in artificial intelligence and technological advancements.  

The report profiles key players in the edge AI hardware market and analyzes their market shares. Players profiled in this report are Apple (US), MediaTek (Taiwan), Qualcomm Technologies (US), Huawei Technologies (China), and Samsung Electronics (South Korea), Intel (US), NVIDIA (US), IBM(US), Google (US), Microsift (US), AMD (US), Micron Technology (US), Imagination Technologies (UK), Cambricon Technologies (China), Tenstorrent (Canada), Blaize (US), General Vision (US), Mythic (US), Zero ASIC (US), Applied Brain Research (Canada), Horizon Robotics (China), CEVA (US), Graph core (UK), SambaNova (US), Hailo (Israel), Veridify Security (US).

Research Coverage

The report defines, describes, and forecasts the edge AI hardware market market based on device, function ,power consumption, processor, vertical and geography. It provides detailed information regarding factors such as drivers, restraints, opportunities, and challenges influencing the growth of the edge AI hardware market market. It also analyzes competitive developments such as product launches, acquisitions, expansions, contracts, partnerships, and developments carried out by the key players to grow in the market.

Reasons to Buy This Report

The report will help leaders/new entrants in the edge AI hardware market in the following ways:

1. The report segments the edge AI hardware market market comprehensively and provides the closest market size estimation for all subsegments across regions.

2. The report will help stakeholders understand the pulse of the market and provide them with information on key drivers, restraints, challenges, and opportunities about edge AI hardware market.

3. The report will help stakeholders understand their competitors better and gain insights to improve their position in the edge AI hardware market market. The competitive landscape section describes the competitor ecosystem.

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 STUDY OBJECTIVES
  • 1.2 MARKET DEFINITION
  • 1.3 MARKET SCOPE
    • 1.3.1 MARKETS COVERED
    • FIGURE 1 EDGE AI HARDWARE MARKET SEGMENTATION
    • 1.3.2 INCLUSIONS AND EXCLUSIONS
    • 1.3.3 REGIONAL SCOPE
    • 1.3.4 YEARS CONSIDERED
  • 1.4 CURRENCY CONSIDERED
  • 1.5 UNITS CONSIDERED
  • 1.6 LIMITATIONS
  • 1.7 STAKEHOLDERS
  • 1.8 SUMMARY OF CHANGES

2 RESEARCH METHODOLOGY

  • 2.1 RESEARCH DATA
    • FIGURE 2 PROCESS FLOW: EDGE AI HARDWARE MARKET SIZE ESTIMATION
    • FIGURE 3 EDGE AI HARDWARE MARKET: RESEARCH DESIGN
    • 2.1.1 SECONDARY AND PRIMARY RESEARCH
    • 2.1.2 SECONDARY DATA
      • 2.1.2.1 Secondary sources
      • 2.1.2.2 List of key secondary sources
    • 2.1.3 PRIMARY DATA
      • 2.1.3.1 Primary sources
      • 2.1.3.2 Key industry insights
      • 2.1.3.3 Primary interviews with experts
      • 2.1.3.4 List of key primary respondents
      • 2.1.3.5 Breakdown of primaries
  • 2.2 MARKET SIZE ESTIMATION
    • 2.2.1 BOTTOM-UP APPROACH
      • 2.2.1.1 Demand-side analysis
    • FIGURE 4 EDGE AI HARDWARE MARKET: BOTTOM-UP APPROACH
    • 2.2.2 TOP-DOWN APPROACH
      • 2.2.2.1 Approach to derive market size using top-down analysis
    • FIGURE 5 EDGE AI HARDWARE MARKET: TOP-DOWN APPROACH
  • 2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
    • FIGURE 6 DATA TRIANGULATION
  • 2.4 RESEARCH ASSUMPTIONS
  • 2.5 RISK ASSESSMENT
    • TABLE 1 ANALYSIS OF RISK FACTORS

3 EXECUTIVE SUMMARY

    • FIGURE 7 SMARTPHONES TO DOMINATE EDGE AI HARDWARE MARKET THROUGHOUT FORECAST PERIOD
    • FIGURE 8 CONSUMER ELECTRONICS VERTICAL TO COMMAND EDGE AI MARKET FROM 2022 TO 2027
    • FIGURE 9 TRAINING SEGMENT TO WITNESS HIGHER CAGR IN EDGE AI HARDWARE MARKET, BY FUNCTION, FROM 2022 TO 2027
    • FIGURE 10 ASIA PACIFIC HELD LARGEST SHARE OF EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, IN 2021

4 PREMIUM INSIGHTS

  • 4.1 ATTRACTIVE GROWTH OPPORTUNITIES FOR PLAYERS IN EDGE AI HARDWARE MARKET
    • FIGURE 11 EMERGENCE OF 5G NETWORKS TO CREATE LUCRATIVE OPPORTUNITIES FOR PROVIDERS OF EDGE AI HARDWARE PRODUCTS
  • 4.2 EDGE AI HARDWARE MARKET, BY DEVICE
    • FIGURE 12 SMARTPHONES TO HOLD LARGEST SHARE OF EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, IN 2027
  • 4.3 EDGE AI HARDWARE MARKET, BY VERTICAL
    • FIGURE 13 CONSUMER ELECTRONICS TO ACCOUNT FOR LARGEST MARKET SHARE, IN TERMS OF VOLUME, FROM 2022 TO 2027
  • 4.4 EDGE AI HARDWARE MARKET, BY PROCESSOR
    • FIGURE 14 CPU TO CAPTURE LARGEST MARKET SHARE, IN TERMS OF VOLUME, IN 2027
  • 4.5 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION
    • FIGURE 15 3-5 W EDGE AI HARDWARE HELD LARGEST MARKET SHARE, IN TERMS OF VOLUME, IN 2021
  • 4.6 EDGE AI HARDWARE MARKET, BY FUNCTION
    • FIGURE 16 INFERENCE TO HOLD LARGER MARKET SHARE THAN TRAINING, IN TERMS OF VOLUME, IN 2027
  • 4.7 GEOGRAPHIC SNAPSHOT OF EDGE AI HARDWARE MARKET, 2022-2027
    • FIGURE 17 MEXICO TO REGISTER HIGHEST CAGR IN GLOBAL EDGE AI HARDWARE MARKET FROM 2022 TO 2027

5 MARKET OVERVIEW

  • 5.1 INTRODUCTION
  • 5.2 MARKET DYNAMICS
    • FIGURE 18 EDGE AI HARDWARE MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
    • 5.2.1 DRIVERS
      • 5.2.1.1 Requirement for low latency and real-time data transmission in mission-critical applications
      • 5.2.1.2 Focus of market players on launching innovative AI coprocessors for edge devices
      • 5.2.1.3 Cost advantages of moving AI processing to edge computing
      • 5.2.1.4 Need to avoid overloading cloud networks with unnecessary data
      • 5.2.1.5 Development of intelligent applications
    • FIGURE 19 IMPACT ANALYSIS: DRIVERS
    • 5.2.2 RESTRAINTS
      • 5.2.2.1 Limitations pertaining to edge AI devices
      • 5.2.2.2 Shortage of AI experts
    • FIGURE 20 IMPACT ANALYSIS: RESTRAINTS
    • 5.2.3 OPPORTUNITIES
      • 5.2.3.1 Development of dedicated AI processors for on-device image analytics
      • 5.2.3.2 Use of edge AI- and IoT-based complementary models
      • 5.2.3.3 Emergence of 5G networks that bring IT and telecom together
    • FIGURE 21 IMPACT ANALYSIS: OPPORTUNITIES
    • 5.2.4 CHALLENGES
      • 5.2.4.1 Designing efficient edge AI systems
      • 5.2.4.2 Optimizing edge AI standards
    • FIGURE 22 IMPACT ANALYSIS: CHALLENGES
  • 5.3 EVOLUTION
    • FIGURE 23 EVOLUTION OF EDGE AI
  • 5.4 VALUE CHAIN ANALYSIS
    • FIGURE 24 VALUE CHAIN ANALYSIS
  • 5.5 CASE STUDY ANALYSIS
    • 5.5.1 CASE STUDY 1: CREATION OF MOTION INTELLIGENCE WITH IMAGIMOB'S SENSORBEAT AI SOLUTION
    • 5.5.2 CASE STUDY 2: USE OF IMAGIMOB'S SENSORBEAT AI SOFTWARE FOR PREDICTIVE MAINTENANCE
    • 5.5.3 CASE STUDY 3: IMPLEMENTATION OF ML ALGORITHMS TO PERSONALIZE BANKING EXPERIENCE
    • 5.5.4 CASE STUDY 4: ADOPTION OF EUROTECH'S HPEC SYSTEMS IN AUTONOMOUS VEHICLES FOR SITUATIONAL AWARENESS
    • 5.5.5 CASE STUDY 5: DEPLOYMENT OF BYTELAKE'S EDGE AI STARTER KIT IN RETAIL SHOPS TO DETECT GROCERY ITEMS
    • 5.5.6 CASE STUDY 6: UTILIZATION OF BYTELAKE'S EDGE AI STARTER KIT FOR TRAFFIC ANALYTICS
  • 5.6 TECHNOLOGY ANALYSIS
    • 5.6.1 EDGE AI AND INTERNET OF THINGS (IOT)
    • 5.6.2 EDGE AI AND 5G
    • 5.6.3 EDGE AI AND BLOCKCHAIN
  • 5.7 PORTER'S FIVE FORCES ANALYSIS
    • FIGURE 25 PORTER'S FIVE FORCES ANALYSIS
    • TABLE 2 IMPACT OF PORTER'S FIVE FORCES ON EDGE AI HARDWARE MARKET, 2021
    • 5.7.1 THREAT OF NEW ENTRANTS
    • 5.7.2 THREAT OF SUBSTITUTES
    • 5.7.3 BARGAINING POWER OF SUPPLIERS
    • 5.7.4 BARGAINING POWER OF BUYERS
    • 5.7.5 INTENSITY OF COMPETITIVE RIVALRY
  • 5.8 EDGE AI MARKET ECOSYSTEM
    • FIGURE 26 ECOSYSTEM OF EDGE AI
    • TABLE 3 EDGE AI HARDWARE MARKET ECOSYSTEM, BY KEY PLAYER
  • 5.9 PATENT ANALYSIS
    • FIGURE 27 TOP 10 COMPANIES WITH HIGHEST NUMBER OF PATENT APPLICATIONS, 2011-2021
    • TABLE 4 TOP 20 PATENT OWNERS IN US, 2011-2021
    • FIGURE 28 NUMBER OF PATENTS GRANTED EVERY YEAR FROM 2011 TO 2021
    • TABLE 5 LIST OF PATENTS
  • 5.10 TARIFF AND REGULATORY LANDSCAPE
    • 5.10.1 INTRODUCTION
      • 5.10.1.1 Export-import regulations
    • 5.10.2 GENERAL DATA PROTECTION REGULATION
    • 5.10.3 HEALTH INSURANCE PORTABILITY AND ACCOUNTABILITY ACT
    • 5.10.4 FEDERAL TRADE COMMISSION
    • 5.10.5 FEDERAL COMMUNICATIONS COMMISSION
    • 5.10.6 ISO/IEC JTC 1/SC 42
    • 5.10.7 ROHS DIRECTIVE AND WEEE DIRECTIVE
  • 5.11 TRADE AND TARIFF ANALYSES
    • 5.11.1 TRADE DATA FOR HS CODE 854231
    • FIGURE 29 IMPORT DATA, BY COUNTRY, 2017-2021 (USD BILLION)
    • FIGURE 30 EXPORT DATA, BY COUNTRY, 2017-2021 (USD BILLION)
    • 5.11.2 TARIFF ANALYSIS
    • TABLE 6 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY US, 2021
    • TABLE 7 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY CHINA, 2021
    • TABLE 8 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY HONG KONG, 2021
    • TABLE 9 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY SINGAPORE, 2021
    • TABLE 10 TARIFF FOR ELECTRONIC INTEGRATED CIRCUITS AS PROCESSORS AND CONTROLLERS EXPORTED BY MALAYSIA, 2021
  • 5.12 MARKET TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
    • FIGURE 31 REVENUE SHIFT IN EDGE AI HARDWARE MARKET
  • 5.13 KEY CONFERENCES AND EVENTS, 2022-2023
    • TABLE 11 EDGE AI HARDWARE MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
  • 5.14 PRICING ANALYSIS
    • 5.14.1 AVERAGE SELLING PRICE OF PROCESSORS OFFERED BY KEY PLAYERS
    • FIGURE 32 AVERAGE SELLING PRICE OF TOP 3 HARDWARE PROCESSORS OFFERED BY KEY PLAYERS
    • TABLE 12 AVERAGE SELLING PRICE OF KEY PLAYERS FOR TOP 3 HARDWARE PROCESSORS (USD)
    • 5.14.2 AVERAGE SELLING PRICE TREND
    • FIGURE 33 EDGE AI HARDWARE MARKET: AVERAGE PRICE OF AI PROCESSORS
  • 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
    • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
    • FIGURE 34 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 VERTICALS
    • TABLE 13 INFLUENCE OF STAKEHOLDERS ON TOP 3 VERTICALS ON BUYING PROCESS (%)
    • 5.15.2 BUYING CRITERIA
    • FIGURE 35 KEY BUYING CRITERIA OF TOP 3 VERTICALS
    • TABLE 14 KEY BUYING CRITERIA OF TOP 3 VERTICALS

6 EDGE AI HARDWARE MARKET, BY DEVICE

  • 6.1 INTRODUCTION
    • FIGURE 36 EDGE AI HARDWARE MARKET, BY DEVICE
    • FIGURE 37 WEARABLES TO WITNESS HIGHEST CAGR IN EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, DURING FORECAST PERIOD
    • TABLE 15 EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 16 EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • TABLE 17 EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (USD MILLION)
    • TABLE 18 EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (USD MILLION)
  • 6.2 SMARTPHONES
    • 6.2.1 DEDICATED AI CHIPS SAID TO BE KEY DEVELOPMENT IN SMARTPHONES
    • TABLE 19 SMARTPHONES: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 20 SMARTPHONES: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
  • 6.3 SURVEILLANCE CAMERAS
    • 6.3.1 PUBLIC SAFETY TO BE MAJOR REASON TO DEPLOY AI-BASED CAMERAS
    • TABLE 21 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY APPLICATION, 2018-2021 (THOUSAND UNITS)
    • TABLE 22 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY APPLICATION, 2022-2027 (THOUSAND UNITS)
    • FIGURE 38 ASIA PACIFIC TO EXHIBIT HIGHEST CAGR IN EDGE AI HARDWARE MARKET FOR SURVEILLANCE CAMERAS DURING FORECAST PERIOD
    • TABLE 23 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 24 SURVEILLANCE CAMERAS: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
  • 6.4 ROBOTS
    • 6.4.1 INTEGRATION OF AI INTO INDUSTRIAL ROBOTS ENABLES THEM TO MONITOR THEIR ACCURACY AND PERFORMANCE
    • TABLE 25 DRONES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2018-2021 (THOUSAND UNITS)
    • TABLE 26 DRONES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2022-2027 (THOUSAND UNITS)
    • TABLE 27 ROBOTS: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 28 ROBOTS: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
  • 6.5 WEARABLES
    • 6.5.1 EYEWEAR TO CAPTURE MAJOR MARKET SHARE FOR WEARABLES
    • TABLE 29 WEARABLES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2018-2021 (THOUSAND UNITS)
    • TABLE 30 WEARABLES: EDGE AI HARDWARE MARKET, BY APPLICATION, 2022-2027 (THOUSAND UNITS)
    • FIGURE 39 NORTH AMERICA TO DOMINATE EDGE AI MARKET FOR WEARABLES DURING FORECAST PERIOD
    • TABLE 31 WEARABLES: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 32 WEARABLES: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
  • 6.6 EDGE SERVERS
    • 6.6.1 ENTERPRISE & INDUSTRY SEGMENT TO CREATE GROWTH OPPORTUNITIES FOR PROVIDERS OF EDGE AI SERVERS
    • TABLE 33 EDGE SERVERS: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 34 EDGE SERVERS: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
  • 6.7 SMART SPEAKERS
    • 6.7.1 USE OF VOICE COMMAND TO CONTROL SMART HOME DEVICES TO FUEL MARKET GROWTH
    • TABLE 35 SMART SPEAKERS: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 36 SMART SPEAKERS: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
  • 6.8 AUTOMOBILES
    • 6.8.1 SEMI-AUTONOMOUS AND AUTONOMOUS VEHICLES TO DRIVE MARKET GROWTH
    • TABLE 37 AUTOMOBILES: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 38 AUTOMOBILES: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
  • 6.9 SMART MIRRORS
    • 6.9.1 GROWING USE OF SMART MIRRORS IN RETAIL SECTOR TO PROPEL MARKET GROWTH
    • TABLE 39 SMART MIRRORS: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 40 SMART MIRRORS: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)

7 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION

  • 7.1 INTRODUCTION
    • FIGURE 40 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION
    • FIGURE 41 EDGE AI DEVICES CONSUMING LESS THAN 1 W TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
    • TABLE 41 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION, 2018-2021 (THOUSAND UNITS)
    • TABLE 42 EDGE AI HARDWARE MARKET, BY POWER CONSUMPTION, 2022-2027 (THOUSAND UNITS)
  • 7.2 LESS THAN 1 W
    • 7.2.1 WEARABLES CONSUMING LESS THAN 1 W OF ELECTRICITY TO STIMULATE MARKET GROWTH
  • 7.3 1-3 W
    • 7.3.1 SMARTPHONES TO DOMINATE MARKET FOR 1-3 W SEGMENT
  • 7.4 3-5 W
    • 7.4.1 SMART SPEAKERS TO LEAD MARKET FOR 3-5 W SEGMENT
  • 7.5 5-10 W
    • 7.5.1 SURVEILLANCE CAMERAS AND DRONES CONSUME 5-10 W OF ELECTRICITY
  • 7.6 MORE THAN 10 W
    • 7.6.1 AUTOMOBILES AND SMART MIRRORS REQUIRE MORE THAN 10 W OF POWER

8 EDGE AI HARDWARE MARKET, BY PROCESSOR

  • 8.1 INTRODUCTION
    • FIGURE 42 EDGE AI HARDWARE MARKET, BY PROCESSOR
    • FIGURE 43 CPU TO HOLD LARGEST SHARE OF EDGE AI HARDWARE MARKET IN 2027
    • TABLE 43 EDGE AI HARDWARE MARKET, BY PROCESSOR, 2018-2021 (MILLION UNITS)
    • TABLE 44 EDGE AI HARDWARE MARKET, BY PROCESSOR, 2022-2027 (MILLION UNITS)
  • 8.2 CPU
    • 8.2.1 USE OF CPU IN SMARTPHONES AND SMART SPEAKERS FOR ON-DEVICE INFERENCE TO BOOST MARKET
  • 8.3 GPU
    • 8.3.1 AUTOMOTIVE AND ROBOTICS TO BE MAJOR END-USER INDUSTRIES OF GRAPHICS PROCESSING UNITS
  • 8.4 ASIC
    • 8.4.1 FIXED APPLICATION TO BE PERFORMED FASTER USING ASIC
  • 8.5 OTHERS

9 EDGE AI HARDWARE MARKET, BY FUNCTION

  • 9.1 INTRODUCTION
    • FIGURE 44 EDGE AI HARDWARE MARKET, BY FUNCTION
    • FIGURE 45 INFERENCE TO HOLD LARGER SHARE OF EDGE AI HARDWARE MARKET THROUGHOUT FORECAST PERIOD
    • TABLE 45 EDGE AI HARDWARE MARKET, BY FUNCTION, 2018-2021 (MILLION UNITS)
    • TABLE 46 EDGE AI HARDWARE MARKET, BY FUNCTION, 2022-2027 (MILLION UNITS)
  • 9.2 TRAINING
    • 9.2.1 DEVELOPMENT OF ALGORITHMS THAT CAN INFER RESULTS PLAYS CRUCIAL ROLE IN TRAINING
  • 9.3 INFERENCE
    • 9.3.1 EFFICIENT PROCESSORS TO BE DEVELOPED FOR EFFECTIVE ANALYSIS OF NEW INFORMATION

10 EDGE AI HARDWARE MARKET, BY VERTICAL

  • 10.1 INTRODUCTION
    • FIGURE 46 EDGE AI HARDWARE MARKET, BY VERTICAL
    • FIGURE 47 CONSUMER ELECTRONICS TO HOLD LARGEST SHARE OF EDGE AI HARDWARE MARKET, IN TERMS OF VOLUME, DURING FORECAST PERIOD
    • TABLE 47 EDGE AI HARDWARE MARKET, BY VERTICAL, 2018-2021 (THOUSAND UNITS)
    • TABLE 48 EDGE AI HARDWARE MARKET, BY VERTICAL, 2022-2027 (THOUSAND UNITS)
  • 10.2 CONSUMER ELECTRONICS
    • 10.2.1 SMARTPHONES TO STIMULATE MARKET GROWTH
    • TABLE 49 CONSUMER ELECTRONICS: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 50 CONSUMER ELECTRONICS: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.2.2 SMARTPHONES
      • 10.2.2.1 Dedicated AI chipset-enabled smartphones to witness strong demand in near future
    • 10.2.3 WEARABLES
      • 10.2.3.1 Wearables to be increasingly used in fitness & sports and entertainment & multimedia applications
    • 10.2.4 ENTERTAINMENT ROBOTS
      • 10.2.4.1 Focus of manufacturers to produce high-quality robots at affordable prices to boost market growth
  • 10.3 SMART HOME
    • 10.3.1 SMART SPEAKERS TO SUPPORT MARKET GROWTH
    • TABLE 51 SMART HOME: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 52 SMART HOME: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.3.2 SMART SPEAKERS
      • 10.3.2.1 Ease of use and convenience make smart speakers suitable for elderly people
    • 10.3.3 SMART CAMERAS
      • 10.3.3.1 Round-the-clock security requirement to surge adoption of smart cameras in smart homes
    • 10.3.4 DOMESTIC ROBOTS
      • 10.3.4.1 Lawn mowing and floor, pool, and window cleaning activities carried out using domestic robots
  • 10.4 AUTOMOTIVE & TRANSPORTATION
    • 10.4.1 USE OF CAMERAS TO RECOGNIZE VEHICLES AND NUMBER PLATES TO FOSTER MARKET GROWTH
    • TABLE 53 AUTOMOTIVE & TRANSPORTATION: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 54 AUTOMOTIVE & TRANSPORTATION: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.4.2 AUTOMOBILES
      • 10.4.2.1 AI technology to witness high demand from autonomous vehicle manufacturers
    • 10.4.3 SURVEILLANCE CAMERAS
      • 10.4.3.1 Vehicle count and number plate recognition supposed to be major applications of surveillance cameras
    • 10.4.4 LOGISTICS ROBOTS
      • 10.4.4.1 Increased need for logistics robots for courier and cargo handling applications to drive market
  • 10.5 GOVERNMENT
    • 10.5.1 DEPLOYMENT OF AI-POWERED SURVEILLANCE CAMERAS TO PUSH MARKET GROWTH
    • FIGURE 48 SURVEILLANCE CAMERAS TO CAPTURE LARGER MARKET SHARE THAN DRONES THROUGHOUT FORECAST PERIOD
    • TABLE 55 GOVERNMENT: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 56 GOVERNMENT: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.5.2 SURVEILLANCE CAMERAS
      • 10.5.2.1 Rising use by police and first responders for behavior analysis and face recognition applications to augment market growth
    • 10.5.3 DRONES
      • 10.5.3.1 Adoption of AI-powered drones in tracking suspects and investigating accidents to propel market growth
  • 10.6 HEALTHCARE
    • 10.6.1 WEARABLES TO DOMINATE HEALTHCARE MARKET
    • TABLE 57 HEALTHCARE: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 58 HEALTHCARE: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.6.2 MEDICAL ROBOTS
      • 10.6.2.1 Minimize infection risks to patients
    • 10.6.3 WEARABLES
      • 10.6.3.1 Play crucial role in monitoring patients remotely
  • 10.7 INDUSTRIAL
    • 10.7.1 INDUSTRIAL MACHINE VISION CAMERAS TO FUEL MARKET GROWTH
    • FIGURE 49 INDUSTRIAL ROBOTS TO REGISTER HIGHEST CAGR IN EDGE AI HARDWARE MARKET DURING FORECAST PERIOD
    • TABLE 59 INDUSTRIAL: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 60 INDUSTRIAL: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.7.2 INDUSTRIAL ROBOTS
      • 10.7.2.1 Increasing adoption of robots to speed up production, increase productivity, and reduce product cost to boost market
    • 10.7.3 DRONES
      • 10.7.3.1 Rising use of drones to automate inspection processes, save time, and provide accurate results to accelerate market growth
    • 10.7.4 MV CAMERAS
      • 10.7.4.1 Help minimize production downtime by detecting machinery defects at faster rate
  • 10.8 AEROSPACE & DEFENSE
    • 10.8.1 INCREASING USE OF SERVICE ROBOTS TO PUSH MARKET GROWTH
    • TABLE 61 AEROSPACE & DEFENSE: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 62 AEROSPACE & DEFENSE: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
  • 10.9 CONSTRUCTION
    • 10.9.1 GROWING USE OF AI ROBOTS IN CONSTRUCTION, RENOVATION, AND DEMOLITION ACTIVITIES TO SUPPORT MARKET GROWTH
    • TABLE 63 CONSTRUCTION: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 64 CONSTRUCTION: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.9.2 SERVICE ROBOTS
      • 10.9.2.1 Infrastructure development projects to witness high demand for service robots
    • 10.9.3 DRONES
      • 10.9.3.1 Increasing use of drones for earthwork management, project planning, and surveying applications to support market growth
  • 10.10 OTHERS
    • TABLE 65 OTHERS: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 66 OTHERS: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • 10.10.1 SURVEILLANCE CAMERAS
      • 10.10.1.1 Growing incidents of robbery and terror threats to create requirement for surveillance cameras
    • 10.10.2 PROFESSIONAL SERVICE ROBOTS
      • 10.10.2.1 Retail stores, restaurants, amusement parks, and airports to be major end users of professional robots
    • 10.10.3 WEARABLES
      • 10.10.3.1 Rising use of wearables by enterprises for on-job training to propel market growth
    • 10.10.4 SMART MIRRORS
      • 10.10.4.1 Emergence of virtual dressing rooms in apparel industry to support market growth
    • 10.10.5 EDGE SERVERS
      • 10.10.5.1 Need to improve efficiency of agricultural operations to generate requirement for edge AI
    • 10.10.6 DRONES
      • 10.10.6.1 Surging adoption of drones to monitor crops to push market growth

11 EDGE AI HARDWARE MARKET, BY REGION

  • 11.1 INTRODUCTION
    • FIGURE 50 EDGE AI HARDWARE MARKET, BY GEOGRAPHY
    • TABLE 67 EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (MILLION UNITS)
    • TABLE 68 EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (MILLION UNITS)
  • 11.2 NORTH AMERICA
    • FIGURE 51 SNAPSHOT OF EDGE AI HARDWARE MARKET IN NORTH AMERICA
    • TABLE 69 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 70 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • TABLE 71 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY COUNTRY, 2018-2021 (THOUSAND UNITS)
    • TABLE 72 NORTH AMERICA: EDGE AI HARDWARE MARKET, BY COUNTRY, 2022-2027 (THOUSAND UNITS)
    • 11.2.1 US
      • 11.2.1.1 Large-scale adoption of ML & AI solutions to accelerate demand for edge AI hardware
    • 11.2.2 CANADA
      • 11.2.2.1 Extensive AI start-up activities to create growth opportunities for market players
    • 11.2.3 MEXICO
      • 11.2.3.1 Fastest-growing North American market for smartphones to create opportunities for edge AI vendors
  • 11.3 EUROPE
    • FIGURE 52 SNAPSHOT OF EDGE AI HARDWARE MARKET IN EUROPE
    • TABLE 73 EUROPE: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 74 EUROPE: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • TABLE 75 EUROPE: EDGE AI HARDWARE MARKET, BY COUNTRY, 2018-2021 (THOUSAND UNITS)
    • TABLE 76 EUROPE: EDGE AI HARDWARE MARKET, BY COUNTRY, 2022-2027 (THOUSAND UNITS)
    • 11.3.1 GERMANY
      • 11.3.1.1 Flourishing automotive sector to push market growth
    • 11.3.2 UK
      • 11.3.2.1 National AI Strategy published by government to support market growth
    • 11.3.3 FRANCE
      • 11.3.3.1 Strong demand for AI-powered surveillance to drive requirement for edge AI hardware
    • 11.3.4 REST OF EUROPE (ROE)
  • 11.4 ASIA PACIFIC (ASIA PACIFIC)
    • FIGURE 53 SNAPSHOT OF EDGE AI HARDWARE MARKET IN ASIA PACIFIC
    • TABLE 77 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 78 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • TABLE 79 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY COUNTRY, 2018-2021 (THOUSAND UNITS)
    • TABLE 80 ASIA PACIFIC: EDGE AI HARDWARE MARKET, BY COUNTRY, 2022-2027 (THOUSAND UNITS)
    • 11.4.1 CHINA
      • 11.4.1.1 Booming automotive and transportation sectors to push market growth
    • 11.4.2 JAPAN
      • 11.4.2.1 Robotics, ICT, and automobile industries to fuel market growth
    • 11.4.3 SOUTH KOREA
      • 11.4.3.1 Huge investment by government in AI to propel market growth
    • 11.4.4 REST OF ASIA PACIFIC
  • 11.5 REST OF THE WORLD (ROW)
    • TABLE 81 ROW: EDGE AI HARDWARE MARKET, BY DEVICE, 2018-2021 (THOUSAND UNITS)
    • TABLE 82 ROW: EDGE AI HARDWARE MARKET, BY DEVICE, 2022-2027 (THOUSAND UNITS)
    • TABLE 83 ROW: EDGE AI HARDWARE MARKET, BY REGION, 2018-2021 (THOUSAND UNITS)
    • TABLE 84 ROW: EDGE AI HARDWARE MARKET, BY REGION, 2022-2027 (THOUSAND UNITS)
    • 11.5.1 MIDDLE EAST & AFRICA (MEA)
      • 11.5.1.1 Saudi Arabia, Israel, and South Africa to foster market growth in MEA
    • 11.5.2 SOUTH AMERICA
      • 11.5.2.1 High investments in IT security to accelerate market growth

12 COMPETITIVE LANDSCAPE

  • 12.1 INTRODUCTION
  • 12.2 STRATEGIES ADOPTED BY KEY PLAYERS
    • TABLE 85 MAJOR COMPANIES ADOPTED PRODUCT LAUNCHES AS KEY GROWTH STRATEGY FROM 2019 TO 2022
  • 12.3 MARKET SHARE ANALYSIS, 2021
    • TABLE 86 EDGE AI HARDWARE MARKET: DEGREE OF COMPETITION, 2021
    • FIGURE 54 MARKET SHARE OF KEY COMPANIES IN EDGE AI HARDWARE MARKET, 2021
    • TABLE 87 EDGE AI HARDWARE MARKET RANKING ANALYSIS, 2021
  • 12.4 REVENUE ANALYSIS
    • FIGURE 55 THREE-YEAR REVENUE ANALYSIS OF KEY COMPANIES, 2019-2021 (USD BILLION)
  • 12.5 COMPANY EVALUATION QUADRANT
    • 12.5.1 STARS
    • 12.5.2 PERVASIVE PLAYERS
    • 12.5.3 EMERGING LEADERS
    • 12.5.4 PARTICIPANTS
    • FIGURE 56 EDGE AI HARDWARE MARKET (KEY PLAYERS): EVALUATION QUADRANT, 2021
    • TABLE 88 COMPANY FOOTPRINT
    • TABLE 89 DEVICE FOOTPRINT OF COMPANIES
    • TABLE 90 VERTICAL FOOTPRINT OF COMPANIES
    • TABLE 91 REGION FOOTPRINT OF COMPANIES
  • 12.6 START-UP/SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT
    • 12.6.1 PROGRESSIVE COMPANIES
    • 12.6.2 RESPONSIVE COMPANIES
    • 12.6.3 DYNAMIC COMPANIES
    • 12.6.4 STARTING BLOCKS
    • FIGURE 57 EDGE AI HARDWARE MARKET (SME): EVALUATION QUADRANT, 2021
    • TABLE 92 EDGE AI HARDWARE MARKET: LIST OF KEY START-UPS/SMES
  • 12.7 COMPETITIVE SCENARIOS AND TRENDS
    • 12.7.1 PRODUCT LAUNCHES
    • TABLE 93 EDGE AI HARDWARE MARKET: PRODUCT LAUNCHES, JANUARY 2019-SEPTEMBER 2022
    • 12.7.2 DEALS
    • TABLE 94 EDGE AI HARDWARE MARKET: DEALS, JANUARY 2019-SEPTEMBER 2022

13 COMPANY PROFILES

  • (Business overview, Products offered, Recent Developments, MNM view)**
  • 13.1 KEY COMPANIES
    • 13.1.1 QUALCOMM TECHNOLOGIES
    • TABLE 95 QUALCOMM TECHNOLOGIES: COMPANY OVERVIEW
    • FIGURE 58 QUALCOMM TECHNOLOGIES: COMPANY SNAPSHOT
    • TABLE 96 QUALCOMM TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 97 QUALCOMM TECHNOLOGIES: PRODUCT LAUNCHES
    • TABLE 98 QUALCOMM TECHNOLOGIES: DEALS
    • 13.1.2 HUAWEI TECHNOLOGIES CO., LTD.
    • TABLE 99 HUAWEI TECHNOLOGIES: COMPANY OVERVIEW
    • FIGURE 59 HUAWEI TECHNOLOGIES: COMPANY SNAPSHOT
    • TABLE 100 HUAWEI TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 101 HUAWEI TECHNOLOGIES: PRODUCT LAUNCHES
    • TABLE 102 HUAWEI TECHNOLOGIES: DEALS
    • TABLE 103 HUAWEI TECHNOLOGIES: OTHERS
    • 13.1.3 SAMSUNG ELECTRONICS
    • TABLE 104 SAMSUNG ELECTRONICS: COMPANY OVERVIEW
    • FIGURE 60 SAMSUNG ELECTRONICS: COMPANY SNAPSHOT
    • TABLE 105 SAMSUNG ELECTRONICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 106 SAMSUNG ELECTRONICS: PRODUCT LAUNCHES
    • TABLE 107 SAMSUNG ELECTRONICS: DEALS
    • 13.1.4 APPLE
    • TABLE 108 APPLE: COMPANY OVERVIEW
    • FIGURE 61 APPLE: COMPANY SNAPSHOT
    • TABLE 109 APPLE: PRODUCT/SOLUTIONS/SERVICES OFFERED
    • TABLE 110 APPLE: DEALS
    • 13.1.5 MEDIATEK
    • TABLE 111 MEDIATEK: COMPANY OVERVIEW
    • FIGURE 62 MEDIATEK: COMPANY SNAPSHOT
    • TABLE 112 MEDIATEK: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 113 MEDIATEK: PRODUCT LAUNCHES
    • TABLE 114 MEDIATEK: DEALS
    • 13.1.6 INTEL
    • TABLE 115 INTEL: COMPANY OVERVIEW
    • FIGURE 63 INTEL: COMPANY SNAPSHOT
    • TABLE 116 INTEL: PRODUCT/SOLUTIONS/SERVICES OFFERED
    • TABLE 117 INTEL: PRODUCT LAUNCHES
    • TABLE 118 INTEL: DEALS
    • TABLE 119 INTEL: OTHERS
    • 13.1.7 NVIDIA
    • TABLE 120 NVIDIA: COMPANY OVERVIEW
    • FIGURE 64 NVIDIA: COMPANY SNAPSHOT
    • TABLE 121 NVIDIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 122 NVIDIA: PRODUCT LAUNCHES
    • TABLE 123 NVIDIA: DEALS
    • 13.1.8 IBM
    • TABLE 124 IBM: COMPANY OVERVIEW
    • FIGURE 65 IBM: COMPANY SNAPSHOT
    • TABLE 125 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 126 IBM: PRODUCT LAUNCHES
    • TABLE 127 IBM: DEALS
    • 13.1.9 MICRON TECHNOLOGY
    • TABLE 128 MICRON TECHNOLOGY: COMPANY OVERVIEW
    • FIGURE 66 MICRON TECHNOLOGY: COMPANY SNAPSHOT
    • TABLE 129 MICRON TECHNOLOGY: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 130 MICRON TECHNOLOGY: PRODUCT LAUNCHES
    • 13.1.10 AMD
    • TABLE 131 AMD: COMPANY OVERVIEW
    • FIGURE 67 AMD: COMPANY SNAPSHOT
    • TABLE 132 AMD: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 133 AMD: PRODUCT LAUNCHES
    • TABLE 134 AMD: DEALS
    • 13.1.11 GOOGLE
    • TABLE 135 ALPHABET: COMPANY OVERVIEW
    • FIGURE 68 ALPHABET: COMPANY SNAPSHOT
    • TABLE 136 GOOGLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 137 GOOGLE: PRODUCT LAUNCHES
    • TABLE 138 GOOGLE: DEALS
    • 13.1.12 MICROSOFT
    • TABLE 139 MICROSOFT: COMPANY OVERVIEW
    • FIGURE 69 MICROSOFT: COMPANY SNAPSHOT
    • TABLE 140 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
    • TABLE 141 MICROSOFT: PRODUCT LAUNCHES
    • TABLE 142 MICROSOFT: DEALS
  • 13.2 OTHER PLAYERS
    • 13.2.1 IMAGINATION TECHNOLOGIES
    • 13.2.2 CAMBRICON TECHNOLOGIES
    • 13.2.3 TENSTORRENT
    • 13.2.4 BLAIZE
    • 13.2.5 GENERAL VISION
    • 13.2.6 MYTHIC
    • 13.2.7 ZERO ASIC
    • 13.2.8 APPLIED BRAIN RESEARCH
    • 13.2.9 HORIZON ROBOTICS
    • 13.2.10 CEVA
    • 13.2.11 GRAPHCORE
    • 13.2.12 SAMBANOVA
    • 13.2.13 HAILO
    • 13.2.14 VERIDIFY SECURITY INC.
  • *Details on Business overview, Products offered, Recent Developments, MNM view might not be captured in case of unlisted companies.

14 APPENDIX

  • 14.1 DISCUSSION GUIDE
  • 14.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
  • 14.3 CUSTOMIZATION OPTIONS
  • 14.4 RELATED REPORTS
  • 14.5 AUTHOR DETAILS