人工知能（チップセット）市場：技術（機械学習、自然言語処理、コンピュータビジョン）、機能（学習、推論）、ハードウェア（プロセッサー、メモリー、ネットワーク）、エンドユーザー産業、地域別 - 2028年までの世界予測

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

世界のAI（チップセット）市場は、2023年に186億米ドル、2028年には645億米ドルに達すると予測され、2023年から2028年までの年平均成長率は28.1％と予測されています。AI（チップセット）は、データの前処理、ト... もっと見る

出版社	出版年月	電子版価格	ページ数	図表数	言語
MarketsandMarkets マーケッツアンドマーケッツ	2023年5月22日	US$4,950 シングルユーザライセンスライセンス・価格情報注文方法はこちら	240	209	英語

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サマリー

世界のAI（チップセット）市場は、2023年に186億米ドル、2028年には645億米ドルに達すると予測され、2023年から2028年までの年平均成長率は28.1％と予測されています。AI（チップセット）は、データの前処理、トレーニング、推論などのタスクを含むAIアルゴリズムの計算要件を処理するために最適化されています。AI（チップセット）は、計算能力の面で大きな進歩を遂げています。従来のCPU（Central Processing Unit）は、GPU（Graphics Processing Unit）、TPU（Tensor Processing Unit）、NPU（Neural Processing Unit）などの専用アクセラレータで補完または置換されています。これらのアクセラレーターは、AIアルゴリズムに必要な並列計算を処理するように設計されており、より高速な処理とパフォーマンスの向上を実現しています。

"人工知能（チップセット）市場において機械学習が2番目に大きな技術セグメントを占めるようになる"
エッジコンピューティングの台頭やリアルタイムでの意思決定への要求が高まる中、エッジでの機械学習推論を可能にするAI（チップセット）のニーズが高まっています。スマートフォン、IoTデバイス、自律型システムなどのエッジデバイスでは、クラウド接続に頼らずローカルでタスクを実行するために、デバイス上の機械学習機能が必要とされています。機械学習用に設計されたAI（チップセット）は、効率的で低遅延な処理を可能にし、リアルタイムの意思決定を促進し、クラウドリソースへの依存度を低減します。
"自動車産業は人工知能（チップセット）市場のCAGRが2番目に高い成長率になる"
自動車産業は、自律走行機能に向けて急速に進歩しています。AI（チップセット）は、自律走行車が環境を認識し、意思決定を行い、その動きを制御するために必要な複雑なアルゴリズムとセンサーフュージョンをパワーアップするために不可欠です。これらのチップセットは、カメラ、レーダー、ライダー、超音波センサーなどのセンサーからのリアルタイムのデータ処理を可能にし、正確な認識と安全なナビゲーションを保証します。さらに、AI（チップセット）は運転支援システムにおいて重要な役割を果たし、衝突回避、車線維持、アダプティブクルーズコントロールなどの安全機能を強化します。
"アジア太平洋地域の人工知能（チップセット）市場において、中国が最も高いCAGRで成長する。"
中国政府は、AIの戦略的重要性を認識し、国家開発計画の優先事項としています。政府は、AIの研究、イノベーション、産業開発を促進するために、「新世代人工知能開発計画」や「AI 2.0開発計画」などのイニシアチブを立ち上げました。これらのイニシアチブは、AIチップセット企業に資金、インセンティブ、政策支援を提供し、企業の成長を促し、市場全体を牽引しています。

本調査には、部品サプライヤーからティア1企業、OEMに至るまで、さまざまな業界専門家の洞察が含まれています。プライマリーの内訳は以下の通りです：
- 企業タイプ別：ティア1：45％、ティア2：32％、ティア3：23％。
- 役職別Cレベルエグゼクティブ：30％、ディレクター：45％、その他：25
- 地域別北米：26％、欧州：40％、アジア太平洋地域：22％、RoW：12

人工知能（チップセット）市場で事業を展開している主要企業は、Intel Corporation（米国）、Nvidia Corporation（米国）、Qualcomm Technologies Inc（米国）、Micron Technology, Inc（米国）、Advanced Micro Devices, Inc（米国）です。
調査対象範囲です：
この調査レポートは、人工知能（チップセット）市場を技術別（機械学習、自然言語処理、コンテキストアウェア、コンピュータビジョン、予測分析）、機能別（推論、トレーニング）、ハードウェア別（プロセッサ、メモリ、ネットワーク）、エンドユーザー産業別（ヘルスケア、製造、自動車、農業、小売、サイバーセキュリティ、人事、マーケティング、法律、フィンテック、政府）、地域別（北米、ヨーロッパ、アジア太平洋、RoW）に分類しています。本レポートの範囲は、人工知能（チップセット）市場の成長に影響を与えるドライバー、阻害要因、課題、機会などの主要要因に関する詳細情報をカバーしています。主要な業界プレイヤーを詳細に分析し、その事業概要、製品、主要戦略、契約、パートナーシップ、契約に関する洞察を提供しています。人工知能（チップセット）市場に関連する新製品・サービスの発売、M&A、最近の動向。人工知能（チップセット）市場のエコシステムにおける今後の新興企業の競合分析も網羅しています。

レポート購入の主なメリット

- 重要な推進要因（データトラフィックの増加と高い演算能力へのニーズ、自律走行車の新興トレンド、産業用ロボットの採用増加、AIデータセンターにおける並列コンピューティングへの注目の高まり）、阻害要因（AIハードウェア専門家と熟練労働者の不足）、機会（AIベースのFPGAに対する需要の急増、人工知能（チップセット）市場の成長に影響を与える課題（AIプラットフォームにおけるデータプライバシーに関する懸念、AIアルゴリズムの信頼性の低さ、効率的なAIシステムを訓練し開発するための限られた構造化データの入手可能性）。

- 製品開発/イノベーション：人工知能（チップセット）市場における今後の技術、研究開発活動、新製品発売に関する詳細なインサイト。

- 市場開発：有利な市場に関する包括的な情報 - 本レポートでは、さまざまな地域の人工知能（チップセット）市場を分析しています。

- 市場の多様化：人工知能（チップセット）市場における新製品、未開拓の地域、最近の開発、投資に関する情報を網羅的に提供します。

- 競争力評価：人工知能（チップセット）市場におけるIntel Corporation（米国）、Nvidia Corporation（米国）、Qualcomm Technologies Inc（米国）、Micron Technology, Inc（米国）、Advanced Micro Devices, Inc（米国）などの主要企業の市場シェア、成長戦略、サービス提供について詳細に評価します。

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1 INTRODUCTION 26
1.1 STUDY OBJECTIVES 26
1.2 MARKET DEFINITION 26
1.2.1 INCLUSIONS AND EXCLUSIONS 27
1.3 STUDY SCOPE 27
1.3.1 MARKETS COVERED 27
FIGURE 1 AI CHIPSETS MARKET SEGMENTATION 27
1.3.2 REGIONAL SCOPE 28
1.3.3 YEARS CONSIDERED 28
1.4 CURRENCY CONSIDERED 28
1.5 STAKEHOLDERS 29
1.6 SUMMARY OF CHANGES 29
1.7 RECESSION IMPACT 30
FIGURE 2 GDP GROWTH PROJECTION UNTIL 2023 FOR MAJOR ECONOMIES 31
FIGURE 3 PROJECTIONS FOR AI CHIPSETS MARKET, 2019–2028 31
2 RESEARCH METHODOLOGY 33
2.1 RESEARCH DATA 33
FIGURE 4 AI CHIPSETS MARKET: RESEARCH DESIGN 33
2.1.1 SECONDARY DATA 34
2.1.1.1 Major secondary sources 34
2.1.1.2 Key data from secondary sources 35
2.1.2 PRIMARY DATA 35
2.1.2.1 Primary interviews with experts 36
2.1.2.2 Key data from primary sources 36
2.1.2.3 Key industry insights 37
2.1.2.4 Breakdown of primaries 37
2.1.3 SECONDARY AND PRIMARY RESEARCH 38
2.2 MARKET SIZE ESTIMATION 38
FIGURE 5 RESEARCH FLOW FOR MARKET SIZE ESTIMATION 39
FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY (SUPPLY SIDE): REVENUE GENERATED FROM SALES OF AI CHIPSETS 39
2.2.1 BOTTOM-UP APPROACH 40
2.2.1.1 Approach to derive market size using bottom-up analysis 40
FIGURE 7 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 40
2.2.2 TOP-DOWN APPROACH 41
2.2.2.1 Approach to derive market size using top-down analysis 41
FIGURE 8 TOP-DOWN APPROACH 41

2.3 DATA TRIANGULATION 42
FIGURE 9 DATA TRIANGULATION 42
2.4 RESEARCH ASSUMPTIONS 43
2.5 RISK ASSESSMENT 44
TABLE 1 RISK FACTOR ANALYSIS 44
2.6 ASSUMPTIONS TO ANALYZE RECESSION IMPACT 44
TABLE 2 ASSUMPTIONS: RECESSION IMPACT 44
2.7 RESEARCH LIMITATIONS 45
3 EXECUTIVE SUMMARY 46
3.1 GROWTH RATE ASSUMPTIONS/FORECAST 46
FIGURE 10 PROCESSOR SEGMENT TO HOLD LARGEST MARKET SHARE DURING FORECAST PERIOD 48
FIGURE 11 COMPUTER VISION SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD 48
FIGURE 12 INFERENCE SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD 49
FIGURE 13 MANUFACTURING SEGMENT TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD 50
FIGURE 14 ASIA PACIFIC TO DOMINATE AI CHIPSETS MARKET DURING FORECAST PERIOD 51
4 PREMIUM INSIGHTS 52
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI CHIPSETS MARKET 52
FIGURE 15 RISING GOVERNMENT-LED INITIATIVES TO BOOST INDUSTRIAL AUTOMATION 52
4.2 NORTH AMERICAN AI CHIPSETS MARKET, BY HARDWARE AND COUNTRY 52
FIGURE 16 PROCESSOR SEGMENT AND US TO DOMINATE NORTH AMERICAN AI CHIPSETS MARKET BETWEEN 2023 AND 2028 52
4.3 AI CHIPSETS MARKET, BY PROCESSOR 53
FIGURE 17 CPU SEGMENT TO HOLD LARGEST SHARE OF AI CHIPSETS MARKET IN 2028 53
4.4 AI CHIPSETS MARKET, BY COUNTRY 53
FIGURE 18 CHINA TO REGISTER HIGHEST CAGR IN AI CHIPSETS MARKET BETWEEN 2023 AND 2028 53
5 MARKET OVERVIEW 54
5.1 INTRODUCTION 54
5.2 MARKET DYNAMICS 54
FIGURE 19 AI CHIPSETS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES 54
5.2.1 DRIVERS 55
5.2.1.1 Increasing data traffic and need for high computing power 55
5.2.1.2 Emerging trend of autonomous vehicles 55
5.2.1.3 Growing adoption of industrial robots 56
5.2.1.4 Rising focus on parallel computing in AI data centers 56
FIGURE 20 AI CHIPSETS MARKET: IMPACT ANALYSIS OF DRIVERS 57
5.2.2 RESTRAINTS 57
5.2.2.1 Lack of AI hardware experts and skilled workforce 57
FIGURE 21 AI CHIPSETS MARKET: IMPACT ANALYSIS OF RESTRAINTS 58
5.2.3 OPPORTUNITIES 58
5.2.3.1 Surging demand for AI-based field programmable gate array (FPGA) technology 58
5.2.3.2 Integration of AI-based solutions into defense systems 58
5.2.3.3 Growing potential of AI-based tools in healthcare sector 59
FIGURE 22 AI CHIPSETS MARKET: IMPACT ANALYSIS OF OPPORTUNITIES 60
5.2.4 CHALLENGES 60
5.2.4.1 Data privacy concerns associated with AI platforms 60
5.2.4.2 Unreliability of AI algorithms 60
5.2.4.3 Availability of limited structured data to develop efficient AI systems 60
FIGURE 23 AI CHIPSETS MARKET: IMPACT ANALYSIS OF CHALLENGES 61
5.3 VALUE CHAIN ANALYSIS 61
FIGURE 24 AI CHIPSETS MARKET: VALUE CHAIN ANALYSIS 62
5.4 ECOSYSTEM ANALYSIS 62
FIGURE 25 AI CHIPSETS MARKET: ECOSYSTEM ANALYSIS 63
TABLE 3 AI CHIPSETS MARKET: ROLE OF COMPANIES 63
5.5 PORTER’S FIVE FORCES ANALYSIS 64
TABLE 4 AI CHIPSETS MARKET: PORTER’S FIVE FORCES ANALYSIS 64
FIGURE 26 AI CHIPSETS MARKET: PORTER’S FIVE FORCES ANALYSIS 65
5.5.1 THREAT OF NEW ENTRANTS 65
5.5.2 THREAT OF SUBSTITUTES 65
5.5.3 BARGAINING POWER OF SUPPLIERS 65
5.5.4 BARGAINING POWER OF BUYERS 66
5.5.5 INTENSITY OF COMPETITION RIVALRY 66
5.6 KEY STAKEHOLDERS AND BUYING CRITERIA 66
5.6.1 KEY STAKEHOLDERS IN BUYING PROCESS 66
FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USER INDUSTRIES 66
TABLE 5 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END-USER INDUSTRIES (%) 67
5.6.2 BUYING CRITERIA 67
FIGURE 28 KEY BUYING CRITERIA FOR TOP THREE END-USER INDUSTRIES 67
TABLE 6 KEY BUYING CRITERIA FOR TOP THREE END-USER INDUSTRIES 68
5.7 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 68
FIGURE 29 REVENUE SHIFT AND NEW REVENUE POCKETS FOR PLAYERS IN AI CHIPSETS MARKET 68
5.8 CASE STUDY ANALYSIS 69
TABLE 7 DFI’S “INDUSTRIAL PI” SINGLE-BOARD COMPUTER LEVERAGES AMD RYZEN EMBEDDED PROCESSORS 69
TABLE 8 EXOR INTERNATIONAL DEVELOPS SMART FACTORY SOLUTIONS USING INTEL PROCESSOR 69
TABLE 9 INTEL XEON SCALABLE PROCESSORS POWER TENCENT CLOUD’S XIAOWEI INTELLIGENT SPEECH AND VIDEO SERVICE ACCESS PLATFORM 70
TABLE 10 AIC HELPS WESTERN DIGITAL ENHANCE SSD TESTING AND VALIDATION EFFICIENCY USING AMD PROCESSOR 70
TABLE 11 BARCO EXPANDED PORTFOLIO OF COLLABORATION SOLUTIONS USING AMD PROCESSOR 71
5.9 TECHNOLOGY ANALYSIS 71
5.9.1 KEY TECHNOLOGIES 71
TABLE 12 COMPARISON BETWEEN AI CHIP TYPES 72
5.9.2 ADJACENT TECHNOLOGIES 72
5.9.2.1 Cloud GPU 72
5.9.3 COMPLEMENTARY TECHNOLOGIES 72
5.9.3.1 Cognitive robots 72
5.9.3.2 Internet of Things (IoT) 73
5.10 AVERAGE SELLING PRICE (ASP) ANALYSIS 73
FIGURE 30 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY END-USER INDUSTRY 73
5.10.1 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY KEY END-USER INDUSTRIES (USD) 73
TABLE 13 AVERAGE SELLING PRICE (ASP) OF AI CHIPSETS, BY KEY END-USER INDUSTRIES (USD) 73
5.10.2 AVERAGE SELLING PRICE (ASP) TRENDS 73
FIGURE 31 AVERAGE SELLING PRICE (ASP) ANALYSIS 74
TABLE 14 PRICE COMPARISON OF AI CHIPSETS OFFERED BY LEADING COMPANIES 74
5.11 PATENT ANALYSIS 75
FIGURE 32 NUMBER OF PATENTS GRANTED IN AI CHIPSETS MARKET, 2012–2022 75
TABLE 15 AI CHIPSETS MARKET: LIST OF MAJOR PATENTS 76
5.12 TRADE ANALYSIS 80
TABLE 16 IMPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION) 80
FIGURE 33 IMPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION) 80
TABLE 17 EXPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION) 81
FIGURE 34 EXPORT DATA, BY COUNTRY, 2017–2021 (USD MILLION) 81
5.13 TARIFF ANALYSIS 82
TABLE 18 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY CHINA 82
TABLE 19 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY US 82
TABLE 20 MFN TARIFF FOR HS CODE: 854231 EXPORTED BY GERMANY 82
5.14 STANDARDS AND REGULATORY LANDSCAPE 83
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
TABLE 21 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 83
TABLE 22 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 84
TABLE 23 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 84
TABLE 24 ROW: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 85
5.14.2 STANDARDS AND REGULATIONS RELATED TO AI CHIPSETS MARKET 86
5.15 KEY CONFERENCES AND EVENTS, 2023–2024 87
TABLE 25 AI CHIPSETS MARKET: CONFERENCES AND EVENTS 87
6 AI CHIPSETS MARKET, BY HARDWARE 88
6.1 INTRODUCTION 89
FIGURE 35 MEMORY SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 89
TABLE 26 AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION) 89
TABLE 27 AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 90
6.2 PROCESSOR 90
TABLE 28 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2019–2022 (USD MILLION) 90
TABLE 29 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2023–2028 (USD MILLION) 91
TABLE 30 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2019–2022 (MILLION UNITS) 91
TABLE 31 AI CHIPSETS MARKET, BY PROCESSOR TYPE, 2023–2028 (MILLION UNITS) 91
TABLE 32 PROCESSOR: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 91
TABLE 33 PROCESSOR: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 92
TABLE 34 PROCESSOR: AI CHIPSETS MARKET, BY FUNCTION, 2019–2022 (USD MILLION) 92
TABLE 35 PROCESSOR: AI CHIPSETS MARKET, BY FUNCTION, 2023–2028 (USD MILLION) 92
6.2.1 GRAPHIC PROCESSING UNIT (GPU) 92
6.2.1.1 Provides higher bandwidth than CPUs 92
6.2.2 FIELD PROGRAMMABLE GATE ARRAY (FPGA) 94
6.2.2.1 Can be reconfigured and reprogrammed as per requirement 94
6.2.3 CENTRAL PROCESSING UNIT (CPU) 95
6.2.3.1 Cost-effective and can handle certain AI algorithms 95
6.2.4 APPLICATION-SPECIFIC INTEGRATED CIRCUIT (ASIC) 96
6.2.4.1 Offers user-specific customized solutions 96
6.3 MEMORY 97
6.3.1 DEVELOPED AND DEPLOYED FOR AI APPLICATIONS AND INDEPENDENT OF COMPUTING ARCHITECTURE 97
TABLE 36 MEMORY: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 98
TABLE 37 MEMORY: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 98
TABLE 38 MEMORY: AI CHIPSETS MARKET, BY FUNCTION, 2019–2022 (USD MILLION) 98
TABLE 39 MEMORY: AI CHIPSETS MARKET, BY FUNCTION, 2023–2028 (USD MILLION) 98
6.4 NETWORK 99
6.4.1 HELPS TROUBLESHOOT PROBLEMS QUICKLY 99
TABLE 40 NETWORK: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 99
TABLE 41 NETWORK: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 100
TABLE 42 NETWORK: AI CHIPSETS MARKET, BY FUNCTION, 2019–2022 (USD MILLION) 100
TABLE 43 NETWORK: AI CHIPSETS MARKET, BY FUNCTION, 2023–2028 (USD MILLION) 100
7 AI CHIPSETS MARKET, BY TECHNOLOGY 101
7.1 INTRODUCTION 102
FIGURE 36 COMPUTER VISION SEGMENT TO REGISTER HIGHEST CAGR DURING FORECAST PERIOD 102
TABLE 44 AI CHIPSETS MARKET, BY TECHNOLOGY, 2019–2022 (USD MILLION) 102
TABLE 45 AI CHIPSETS MARKET, BY TECHNOLOGY, 2023–2028 (USD MILLION) 103
7.2 MACHINE LEARNING 103
7.2.1 DEEP LEARNING 104
7.2.1.1 Uses artificial neural networks to learn multiple levels of data 104
7.2.2 SUPERVISED LEARNING 105
7.2.2.1 Helps in classification and regression of major applications of supervised learning 105
7.2.3 UNSUPERVISED LEARNING 105
7.2.3.1 Includes clustering methods consisting of algorithms with unlabeled training data 105
7.2.4 REINFORCEMENT LEARNING 106
7.2.4.1 Allows systems and software to determine ideal behavior to maximize system performance 106
7.2.5 OTHERS 106
7.3 NATURAL LANGUAGE PROCESSING 107
7.3.1 OFFERS REAL-TIME TRANSLATION AND ALLOWS USERS TO COMMUNICATE IN NATURAL LANGUAGE WITH SYSTEMS 107
7.4 CONTEXT-AWARE COMPUTING 108
7.4.1 USES SUPPLEMENTAL INFORMATION TO IMPROVE SECURITY DECISIONS 108
7.5 COMPUTER VISION 109
7.5.1 GIVES HUMAN-LIKE CAPABILITIES TO MACHINES, ROBOTS, AND COMPUTERS 109
7.6 PREDICTIVE ANALYSIS 109
7.6.1 WIDELY USED IN HEALTHCARE AND AGRICULTURE INDUSTRIES TO ANALYZE CURRENT DATA AND PREDICT RESULTS OF UNKNOWN FUTURE EVENTS 109
8 AI CHIPSETS MARKET, BY FUNCTION 111
8.1 INTRODUCTION 112
FIGURE 37 TRAINING SEGMENT TO REGISTER HIGHER CAGR DURING FORECAST PERIOD 112
TABLE 46 AI CHIPSETS MARKET, BY FUNCTION, 2019–2022 (USD MILLION) 112
TABLE 47 AI CHIPSETS MARKET, BY FUNCTION, 2023–2028 (USD MILLION) 112
8.2 TRAINING 113
8.2.1 COMPUTATIONALLY INTENSIVE AND BEST ACCELERATED WITH GPUS 113
TABLE 48 TRAINING: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION) 113
TABLE 49 TRAINING: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 114

8.3 INFERENCE 114
8.3.1 ON-PREMISES INFERENCE PLATFORM USED TO GAIN FASTER RESULTS THAN CLOUD 114
TABLE 50 INFERENCE: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION) 115
TABLE 51 INFERENCE: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 115
9 AI CHIPSETS MARKET, BY END-USER INDUSTRY 116
9.1 INTRODUCTION 117
FIGURE 38 HEALTHCARE SEGMENT TO HOLD LARGEST MARKET SHARE IN 2028 117
TABLE 52 AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION) 118
TABLE 53 AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION) 118
9.2 HEALTHCARE 119
9.2.1 GROWING USE OF MACHINE LEARNING (ML) AND DEEP LEARNING (DL) MODELS 119
TABLE 54 HEALTHCARE: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 120
TABLE 55 HEALTHCARE: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 120
9.3 MANUFACTURING 120
9.3.1 GROWING DEMAND FOR AI CHIPSETS IN QUALITY CONTROL AND PREDICTIVE MAINTENANCE 120
TABLE 56 MANUFACTURING: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 121
TABLE 57 MANUFACTURING: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 121
9.4 AUTOMOTIVE 122
9.4.1 RISING ADOPTION OF ADVANCED TECHNOLOGIES 122
TABLE 58 AUTOMOTIVE: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 123
TABLE 59 AUTOMOTIVE: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 123
9.5 AGRICULTURE 123
9.5.1 INCREASING USE OF MACHINE LEARNING (ML) AND COMPUTER VISION TECHNOLOGIES TO DIAGNOSE, MAP, AND EVALUATE CROP HEALTH 123
TABLE 60 AGRICULTURE: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 124
TABLE 61 AGRICULTURE: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 124
9.6 RETAIL 124
9.6.1 GROWING ADOPTION OF AI TO ENHANCE CUSTOMER EXPERIENCE 124
TABLE 62 RETAIL: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 125
TABLE 63 RETAIL: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 126
9.7 CYBERSECURITY 126
9.7.1 RISING CYBERSECURITY THREATS 126
TABLE 64 CYBERSECURITY: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 127
TABLE 65 CYBERSECURITY: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 127
9.8 HUMAN RESOURCES 127
9.8.1 INCREASING DEPLOYMENT OF AI TO RESHAPE OPERATIONS OF COMPANIES 127
TABLE 66 HUMAN RESOURCES: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 128
TABLE 67 HUMAN RESOURCES: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 128
9.9 MARKETING 129
9.9.1 RISING USE OF AI TO OFFER PROGRAMMATIC TRENDS TO MARKETERS 129
TABLE 68 MARKETING: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 130
TABLE 69 MARKETING: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 130
9.10 LAW 130
9.10.1 RISING DEPLOYMENT TO INCREASE PRODUCTIVITY AND MARGINS 130
TABLE 70 LAW: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 131
TABLE 71 LAW: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 131
9.11 FINTECH 131
9.11.1 INCREASED USE BY FINTECH COMPANIES TO DESIGN INVESTMENT STRATEGIES 131
TABLE 72 FINTECH: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 132
TABLE 73 FINTECH: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 133
9.12 GOVERNMENT 133
9.12.1 GROWING ADOPTION OF AI TO TACKLE CYBERTERRORISM 133
TABLE 74 GOVERNMENT: AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 134
TABLE 75 GOVERNMENT: AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 134
10 AI CHIPSETS MARKET, BY REGION 135
10.1 INTRODUCTION 136
FIGURE 39 ASIA PACIFIC TO HOLD LARGEST SHARE OF AI CHIPSETS MARKET DURING FORECAST PERIOD 136
TABLE 76 AI CHIPSETS MARKET, BY REGION, 2019–2022 (USD MILLION) 137
TABLE 77 AI CHIPSETS MARKET, BY REGION, 2023–2028 (USD MILLION) 137
10.2 NORTH AMERICA 137
10.2.1 NORTH AMERICA: RECESSION IMPACT 138
FIGURE 40 NORTH AMERICA: SNAPSHOT OF AI CHIPSETS MARKET 139
TABLE 78 NORTH AMERICA: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION) 139
TABLE 79 NORTH AMERICA: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 140
TABLE 80 NORTH AMERICA: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION) 140
TABLE 81 NORTH AMERICA: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION) 141
TABLE 82 NORTH AMERICA: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 141
TABLE 83 NORTH AMERICA: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 141
10.2.2 US 142
10.2.2.1 Innovations and initiatives to fuel adoption of advanced technologies 142
10.2.3 CANADA 143
10.2.3.1 High investments in research and development (R&D) 143
10.2.4 MEXICO 143
10.2.4.1 Growing penetration of AI into security and BFSI sectors 143
10.3 EUROPE 144
10.3.1 EUROPE: RECESSION IMPACT 144
FIGURE 41 EUROPE: SNAPSHOT OF AI CHIPSETS MARKET 145
TABLE 84 EUROPE: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION) 146
TABLE 85 EUROPE: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 146
TABLE 86 EUROPE: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION) 146
TABLE 87 EUROPE: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION) 147
TABLE 88 EUROPE: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 147
TABLE 89 EUROPE: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 147
10.3.2 UK 148
10.3.2.1 Government initiatives to increase adoption of AI 148
10.3.3 GERMANY 149
10.3.3.1 Growing adoption of cloud computing and Industry 4.0 technologies 149
10.3.4 FRANCE 150
10.3.4.1 Rising investments by venture capitalists in startups to develop AI ecosystem 150
10.3.5 REST OF EUROPE 150
10.4 ASIA PACIFIC 151
10.4.1 ASIA PACIFIC: RECESSION IMPACT 151
FIGURE 42 ASIA PACIFIC: SNAPSHOT OF AI CHIPSETS MARKET 152
TABLE 90 ASIA PACIFIC: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION) 153
TABLE 91 ASIA PACIFIC: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 153
TABLE 92 ASIA PACIFIC: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION) 153
TABLE 93 ASIA PACIFIC: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION) 154
TABLE 94 ASIA PACIFIC: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 154
TABLE 95 ASIA PACIFIC: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 154
10.4.2 CHINA 155
10.4.2.1 Significant untapped AI opportunities 155
10.4.3 JAPAN 156
10.4.3.1 Expanding finance, healthcare, retail, automotive, and transportation sectors 156
10.4.4 INDIA 156
10.4.4.1 Increasing number of AI startups 156
10.4.5 SOUTH KOREA 157
10.4.5.1 Growing need for enhanced AI infrastructure 157
10.4.6 REST OF ASIA PACIFIC 158
10.5 ROW 158
10.5.1 ROW: RECESSION IMPACT 159
TABLE 96 ROW: AI CHIPSETS MARKET, BY HARDWARE, 2019–2022 (USD MILLION) 159
TABLE 97 ROW: AI CHIPSETS MARKET, BY HARDWARE, 2023–2028 (USD MILLION) 159
TABLE 98 ROW: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2019–2022 (USD MILLION) 160
TABLE 99 ROW: AI CHIPSETS MARKET, BY END-USER INDUSTRY, 2023–2028 (USD MILLION) 160
TABLE 100 ROW: AI CHIPSETS MARKET, BY COUNTRY, 2019–2022 (USD MILLION) 161
TABLE 101 ROW: AI CHIPSETS MARKET, BY COUNTRY, 2023–2028 (USD MILLION) 161
10.5.2 SOUTH AMERICA 161
10.5.2.1 Increased availability of computing services 161
10.5.3 MIDDLE EAST & AFRICA 161
10.5.3.1 Rise in smart mobile data traffic 161
11 COMPETITIVE LANDSCAPE 162
11.1 INTRODUCTION 162
11.2 KEY STRATEGIES ADOPTED BY MAJOR PLAYERS 162
TABLE 102 OVERVIEW OF STRATEGIES ADOPTED BY COMPANIES IN AI CHIPSETS MARKET 162
11.3 COMPANY REVENUE ANALYSIS, 2020–2022 164
FIGURE 43 THREE-YEAR REVENUE ANALYSIS OF TOP FIVE MARKET PLAYERS 164
11.4 MARKET SHARE ANALYSIS, 2022 164
FIGURE 44 MARKET SHARES OF LEADING PLAYERS IN AI CHIPSETS MARKET, 2022 164
TABLE 103 AI CHIPSETS MARKET: DEGREE OF COMPETITION 165
11.5 COMPANY EVALUATION QUADRANT, 2022 166
11.5.1 STARS 166
11.5.2 EMERGING LEADERS 166
11.5.3 PERVASIVE PLAYERS 167
11.5.4 PARTICIPANTS 167
FIGURE 45 AI CHIPSETS MARKET (GLOBAL): COMPANY EVALUATION QUADRANT, 2022 167
11.6 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT, 2022 168
11.6.1 PROGRESSIVE COMPANIES 168
11.6.2 RESPONSIVE COMPANIES 168
11.6.3 DYNAMIC COMPANIES 168
11.6.4 STARTING BLOCKS 168
FIGURE 46 AI CHIPSETS MARKET: SMES EVALUATION QUADRANT, 2022 169
11.7 COMPETITIVE BENCHMARKING 170
TABLE 104 COMPANY FOOTPRINT 170
TABLE 105 HARDWARE: COMPANY FOOTPRINT 171
TABLE 106 END-USER INDUSTRY: COMPANY FOOTPRINT 172
TABLE 107 REGION: COMPANY FOOTPRINT 173
11.8 STARTUP EVALUATION QUADRANT, 2022 174
11.8.1 LIST OF STARTUPS 174
TABLE 108 STARTUP MATRIX: DETAILED LIST OF KEY STARTUPS 174
11.8.2 COMPETITIVE BENCHMARKING OF KEY STARTUPS 175
TABLE 109 OVERALL STARTUP FOOTPRINT 175
TABLE 110 HARDWARE: STARTUP FOOTPRINT 175
TABLE 111 END-USER INDUSTRY: STARTUP FOOTPRINT 176
TABLE 112 REGION: STARTUP FOOTPRINT 176
11.9 COMPETITIVE SCENARIO AND TRENDS 177
TABLE 113 AI CHIPSETS MARKET: PRODUCT LAUNCHES, AUGUST 2019–NOVEMBER 2022 177
TABLE 114 AI CHIPSETS MARKET: DEALS, OCTOBER 2020–DECEMBER 2022 181
12 COMPANY PROFILES 186
(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 186
12.1.1 INTEL CORPORATION 186
TABLE 115 INTEL CORPORATION: COMPANY OVERVIEW 186
FIGURE 47 INTEL CORPORATION: COMPANY SNAPSHOT 187
TABLE 116 INTEL CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 187
TABLE 117 INTEL CORPORATION: PRODUCT LAUNCHES 188
TABLE 118 INTEL CORPORATION: DEALS 189
12.1.2 NVIDIA CORPORATION 191
TABLE 119 NVIDIA CORPORATION: COMPANY OVERVIEW 191
FIGURE 48 NVIDIA CORPORATION: COMPANY SNAPSHOT 192
TABLE 120 NVIDIA CORPORATION: PRODUCTS/SOLUTIONS/SERVICES OFFERED 192
TABLE 121 NVIDIA CORPORATION: PRODUCT LAUNCHES 193
TABLE 122 NVIDIA CORPORATION: DEALS 194
12.1.3 QUALCOMM TECHNOLOGIES, INC. 196
TABLE 123 QUALCOMM TECHNOLOGIES, INC.: COMPANY OVERVIEW 196
FIGURE 49 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT 197
TABLE 124 QUALCOMM TECHNOLOGIES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 197
TABLE 125 QUALCOMM TECHNOLOGIES, INC.: PRODUCT LAUNCHES 198
TABLE 126 QUALCOMM TECHNOLOGIES, INC.: DEALS 199
12.1.4 MICRON TECHNOLOGY, INC. 201
TABLE 127 MICRON TECHNOLOGY, INC.: COMPANY OVERVIEW 201
FIGURE 50 MICRON TECHNOLOGY, INC.: COMPANY SNAPSHOT 202
TABLE 128 MICRON TECHNOLOGY, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 202
TABLE 129 MICRON TECHNOLOGY, INC.: PRODUCT LAUNCHES 203
TABLE 130 MICRON TECHNOLOGY, INC.: DEALS 204
12.1.5 ADVANCED MICRO DEVICES, INC. 206
TABLE 131 ADVANCED MICRO DEVICES, INC.: COMPANY OVERVIEW 206
FIGURE 51 ADVANCED MICRO DEVICES, INC.: COMPANY SNAPSHOT 207
TABLE 132 ADVANCED MICRO DEVICES, INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 207
TABLE 133 ADVANCED MICRO DEVICES, INC.: PRODUCT LAUNCHES 208
TABLE 134 ADVANCED MICRO DEVICES, INC.: DEALS 209
12.1.6 SAMSUNG ELECTRONICS CO., LTD. 211
TABLE 135 SAMSUNG ELECTRONICS CO., LTD.: COMPANY OVERVIEW 211
FIGURE 52 SAMSUNG ELECTRONICS CO., LTD.: COMPANY SNAPSHOT 212
TABLE 136 SAMSUNG ELECTRONICS CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 212
TABLE 137 SAMSUNG ELECTRONICS CO., LTD.: PRODUCT LAUNCHES 213
TABLE 138 SAMSUNG ELECTRONICS CO., LTD.: DEALS 214
12.1.7 APPLE INC. 215
TABLE 139 APPLE INC.: COMPANY OVERVIEW 215
FIGURE 53 APPLE INC.: COMPANY SNAPSHOT 216
TABLE 140 APPLE INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 216
TABLE 141 APPLE INC.: PRODUCT LAUNCHES 217
12.1.8 IBM 218
TABLE 142 IBM: COMPANY OVERVIEW 218
FIGURE 54 IBM: COMPANY SNAPSHOT 219
TABLE 143 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED 219
TABLE 144 IBM: PRODUCT LAUNCHES 220
TABLE 145 IBM: DEALS 220
12.1.9 ALPHABET INC. 221
TABLE 146 ALPHABET INC.: COMPANY OVERVIEW 221
FIGURE 55 ALPHABET INC.: COMPANY SNAPSHOT 222
TABLE 147 ALPHABET INC.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 222
TABLE 148 ALPHABET INC.: PRODUCT LAUNCHES 223
TABLE 149 ALPHABET INC.: DEALS 224
12.1.10 HUAWEI TECHNOLOGIES CO., LTD. 225
TABLE 150 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY OVERVIEW 225
FIGURE 56 HUAWEI TECHNOLOGIES CO., LTD.: COMPANY SNAPSHOT 226
TABLE 151 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED 227
TABLE 152 HUAWEI TECHNOLOGIES CO., LTD.: PRODUCT LAUNCHES 227
TABLE 153 HUAWEI TECHNOLOGIES CO., LTD.: DEALS 228
12.2 OTHER PLAYERS 229
12.2.1 GRAPHCORE 229
12.2.2 MEDIATEK INC. 230
12.2.3 MYTHIC 230
12.2.4 KALRAY 231
12.2.5 ARM LIMITED 231
12.2.6 BLAIZE 232
12.2.7 LG ELECTRONICS 233
12.2.8 IMAGINATION TECHNOLOGIES 234
12.2.9 GROQ, INC. 234
12.2.10 HAILO 235
12.2.11 CEREBRAS 235
12.2.12 XMOS 236
12.2.13 GREENWAVE TECHNOLOGIES 236
12.2.14 SIMA TECHNOLOGIES, INC. 237
12.2.15 KNERON, INC. 237
*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 238
13.1 DISCUSSION GUIDE 238
13.2 KNOWLEDGESTORE: MARKETSANDMARKETS SUBSCRIPTION PORTAL 242
13.3 CUSTOMIZATION OPTIONS 244
13.4 RELATED REPORTS 244
13.5 AUTHOR DETAILS 245

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Table of Contents

Summary

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.

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Table of Contents

ご注文は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。

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