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ディープラーニング(深層学習)の世界市場:2022年に至る用途別、ユーザー業界別市場予測と分析

Deep Learning Market by Application (Image Recognition, Signal Recognition, Data Mining), Offering (Hardware (Von Neumann and Neuromorphic Chip), and Software), End-User Industry, and Geography - Global Forecasts to 2022

出版元:MarketsandMarkets(米国)LinkIcon出版元について
発行年:2016年11月
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当調査レポートは英文 182ページになります。
商品コード:MAM390

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【レポート紹介】
ディープラーニング(深層学習)の世界市場は2016年から2022年にかけて平均年率65.3%の急速な成長率で拡大する、と当レポートでは予測しています。その市場規模は2022年に17億7290万ドルに達すると見込まれます。レポートでは、2022年に至るディープラーニングの世界市場予測(US$)、詳細な用途別市場(画像認識各種、シグナル認識各種、データマイニング各種、その他各種、全15用途)、ハード/ソフト別市場、主要国地域別市場など区分された市場データと分析を掲載しています。また市場考察、競合状況、主要企業11社動向などのリサーチ情報も踏まえて、ディープラーニング市場の現在と今後見通しを予測検証していきます。

【レポート構成概要】MAM390_Pic - Deep Learning Market – Global Trends and Forecast To 2022.jpg
◆ディープラーニング(深層学習)の世界市場予測2013-2022年
・市場規模(US$)

◆ディープラーニング用途別市場-2022年
画像認識
・マシンビジョン
・医療画像、衛星画像
・ビデオ監視、セキュリティ
・スマートモーション
・ロボティクス

シグナル認識
・スピーチ認識
・音声識別
・その他(レーダー/ソナー、EEG/EKG/ECG、振動モニタリング)

データマイニング
・感情分析
・機械翻訳
・指紋識別
・サイバーセキュリティ
・バイオインフォマティクス

その他用途
・推薦システム
・創薬

<※用途別にハードウェア/ソフトウェアの細分化市場データを掲載、詳細は目次参照>

◆ハードウェア/ソフトウェア市場-2022年
ハードウェア(アーキテクチャー別)
・Neuromorphic architecture based chips
・Von Neumann architecture based chips
ソフトウェア

◆ユーザー業界別市場-2022年
・航空宇宙、防衛
・通信IT
・医療
・自動車
・インダストリアル
・メディア、広告
・金融
・小売業
・石油ガス、エネルギー
・その他(農業、教育、法律)

◆主要国地域別市場-2022年
北米
・米国、カナダ、メキシコ
欧州
・英国、ドイツ、フランス
・その他欧州
アジア太平洋
・日本、中国、韓国、インド
・その他アジア太平洋
その他地域

◆市場分析
・市場動態(プラス/マイナス要因、機会/課題)
・バリューチェーン分析
・業界トレンド
・ファイブフォース競合分析モデル
・競合状況、市場ランキング

◆ディープラーニングの主要企業11社動向
・GOOGLE INC.
・IBM CORPORATION
・INTEL CORPORATION
・MICROSOFT CORPORATION
・NVIDIA CORPORATION
・HEWLETT PACKARD ENTERPRISE
・BAIDU INC.
・QUALCOMM TECHNOLOGIES, INC
・SENSORY INC.
・SKYMIND
・GENERAL VISION INC.

(全182頁)
【レポート詳細目次、データ項目一覧は当ページ下を参照ください】

英文詳細目次(table of contents)

【原文詳細目次】

Deep Learning Market by Application (Image Recognition, Signal Recognition, Data Mining), Offering (Hardware (Von Neumann and Neuromorphic Chip), and Software), End-User Industry, and Geography - Global Forecasts to 2022

Table of Contents

1 INTRODUCTION 16

1.1 OBJECTIVES OF THE STUDY 16
1.2 MARKET DEFINITION 16
1.3 STUDY SCOPE 17
1.3.1 MARKETS COVERED 17
1.3.2 YEARS CONSIDERED FOR THE STUDY 18
1.4 CURRENCY 18
1.5 LIMITATIONS 19
1.6 STAKEHOLDERS 19

2 RESEARCH METHODOLOGY 20

2.1 INTRODUCTION 20
2.1.1 SECONDARY DATA 21
2.1.1.1 Key data from secondary sources 21
2.1.2 PRIMARY DATA 21
2.1.2.1 Key data from primary sources 22
2.1.2.2 Key industry insights 23
2.1.2.3 Breakdown of primaries 23
2.2 MARKET SIZE ESTIMATION 24
2.2.1 BOTTOM-UP APPROACH 24
2.2.2 TOP-DOWN APPROACH 25
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 26
2.4 RESEARCH ASSUMPTIONS 27

3 EXECUTIVE SUMMARY 28
4 PREMIUM INSIGHTS 32

4.1 ATTRACTIVE OPPORTUNITIES IN THE DEEP LEARNING MARKET, 2013–2022 (USD MILLION) 32
4.2 DEEP LEARNING MARKET, BY APPLICATION 33
4.3 DEEP LEARNING MARKET, BY REGION 33
4.4 AEROSPACE & DEFENSE END-USER INDUSTRY DOMINATED THE DEEP LEARNING MARKET IN 2015 34
4.5 NORTH AMERICA HELD THE LARGEST SHARE OF THE DEEP LEARNING MARKET IN 2015 35
4.6 DEEP LEARNING MARKET, BY OFFERING 36

5 MARKET OVERVIEW 37

5.1 INTRODUCTION 38
5.2 MARKET SEGMENTATION 38
5.2.1 DEEP LEARNING MARKET, BY APPLICATION 38
5.2.2 DEEP LEARNING MARKET, BY OFFERING 38
5.2.3 DEEP LEARNING MARKET, BY END-USER INDUSTRY 38
5.2.4 DEEP LEARNING MARKET, BY GEOGRAPHY 39
5.3 MARKET DYNAMICS 40
5.3.1 DRIVERS 40
5.3.1.1 Growing usage of deep learning technology across various industrial verticals such as advertisement, finance, and automotive 40
5.3.1.2 Robust R&D for the development of better processing hardware for deep learning 41
5.3.1.3 Deep learning usage in big data analytics 42
5.3.1.4 Increasing adoption of cloud-based technology for deep learning 42
5.3.2 RESTRAINTS 43
5.3.2.1 Increasing complexity in hardware due to complex algorithm used in the deep learning technology 43
5.3.3 OPPORTUNITIES 43
5.3.3.1 Usage of deep learning for medical image analysis 43
5.3.3.2 Use of deep learning technology in smartphones 44
5.3.4 CHALLENGES 44
5.3.4.1 Delay in acceptance of neuromorphic technology for deep learning 44
5.3.4.2 Algorithms of deep learning are evolving at a faster pace compared to its hardware 45

6 INDUSTRY TRENDS 46

6.1 INTRODUCTION 46
6.2 VALUE CHAIN ANALYSIS 46
6.3 INDUSTRY DEVELOPMENTS 48
6.4 PORTER’S FIVE FORCES ANALYSIS 49
6.4.1 INDUSTRY RIVARLY 51
6.4.2 THREAT OF SUBSTITUTES 51
6.4.3 THREAT OF NEW ENTRANTS 51
6.4.4 BARGAINING POWER OF SUPPLIERS 53
6.4.5 BARGAINING POWER OF BUYERS 54

7 DEEP LEARNING MARKET, BY APPLICATION 55

7.1 INTRODUCTION 56
7.2 IMAGE RECOGNITION 58
7.2.1 MACHINE VISION 61
7.2.2 MEDICAL & SATELLITE IMAGING 62
7.2.3 SECURITY/VIDEO SURVEILLANCE 62
7.2.4 SMART MOTION 63
7.2.5 ROBOTICS 63
7.3 SIGNAL RECOGNITION 63
7.3.1 SPEECH RECOGNITION 66
7.3.2 VOICE IDENTIFICATION 67
7.3.3 OTHERS (RADAR/SONAR, EEG/EKG/ECG, VIBRATION MONITORING) 67
7.4 DATA MINING 68
7.4.1 SENTIMENT ANALYSIS 71
7.4.2 MACHINE TRANSLATION 71
7.4.3 FINGERPRINT IDENTIFICATION 71
7.4.4 CYBER SECURITY 71
7.4.5 BIOINFORMATICS 72
7.5 OTHERS 72
7.5.1 RECOMMENDER SYSTEM 74
7.5.2 DRUG DISCOVERY 74

8 DEEP LEARNING MARKET, BY OFFERING 75

8.1 INTRODUCTION 76
8.2 DEEP LEARNING MARKET, BY HARDWARE 77
8.2.1 NEUROMORPHIC ARCHITECTURE-BASED CHIPS 77
8.2.2 VON NEUMANN ARCHITECTURE-BASED CHIPS 77
8.3 DEEP LEARNING MARKET, BY SOFTWARE 79

9 DEEP LEARNING MARKET, BY END-USER INDUSTRY 81

9.1 INTRODUCTION 82
9.2 AEROSPACE & DEFENSE 83
9.3 IT & TELECOM 86
9.4 MEDICAL 89
9.5 AUTOMOTIVE 92
9.6 INDUSTRIAL 95
9.7 MEDIA & ADVERTISING 98
9.8 FINANCE 101
9.9 RETAIL 103
9.10 OIL, GAS, & ENERGY 105
9.11 OTHER END-USER INDUSTRIES (AGRICULTURE, EDUCATION, LAW) 108

10 GEOGRAPHIC ANALYSIS 110

10.1 INTRODUCTION 111
10.2 NORTH AMERICA 113
10.2.1 U.S. 116
10.2.2 CANADA 116
10.2.3 MEXICO 117
10.3 EUROPE 117
10.3.1 U.K. 119
10.3.2 GERMANY 119
10.3.3 FRANCE 119
10.3.4 REST OF EUROPE 119
10.4 ASIA-PACIFIC 120
10.4.1 CHINA 123
10.4.2 JAPAN 123
10.4.3 SOUTH KOREA 123
10.4.4 INDIA 124
10.4.5 REST OF APAC 124
10.5 REST OF THE WORLD 124

11 COMPETITIVE LANDSCAPE 126

11.1 OVERVIEW 126
11.2 MARKET RANKING ANALYSIS: DEEP LEARNING MARKET, 2015 127
11.3 COMPETITIVE SITUATIONS AND TRENDS 130
11.3.1 NEW PRODUCT LAUNCHES AND DEVELOPMENTS 131
11.3.2 PARTNERSHIPS AND COLLABORATIONS 132
11.3.3 ACQUISITIONS 133

12 COMPANY PROFILES 134

(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
12.1 INTRODUCTION 134
12.3 GOOGLE INC. 135
12.4 IBM CORPORATION 139
12.5 INTEL CORPORATION 143
12.6 MICROSOFT CORPORATION 147
12.7 NVIDIA CORPORATION 150
12.8 HEWLETT PACKARD ENTERPRISE 154
12.9 BAIDU INC. 157
12.10 QUALCOMM TECHNOLOGIES, INC 160
12.11 SENSORY INC. 163
12.12 SKYMIND 165
12.13 GENERAL VISION INC. 166
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.
13 APPENDIX 168

LIST OF TABLES

TABLE 1 CURRENCY TABLE 18
TABLE 2 PRODUCTS LAUNCHED FOR DEEP LEARNING 41
TABLE 3 COMPANIES OFFERING CLOUD SERVICES FOR DEEP MACHINE LEARNING 42
TABLE 4 GLOBAL DEEP LEARNING MARKET REVENUE, BY APPLICATION
2013–2022 (USD MILLION) 57
TABLE 5 DEEP LEARNING MARKET FOR IMAGE RECOGNITION, BY OFFERING,
2013–2022 (USD MILLION) 58
TABLE 6 DEEP LEARNING MARKET FOR IMAGE RECOGNITION, BY END-USER INDUSTRY, 2013–2022 (USD MILLION) 59
TABLE 7 LEARNING MARKET FOR IMAGE RECOGNITION, BY SUB APPLICATION
2013–2022 (USD MILLION) 60
TABLE 8 DEEP LEARNING MARKET FOR SIGNAL RECOGNITION, BY OFFERING,
2013–2022 (USD MILLION) 64
TABLE 9 DEEP LEARNING MARKET FOR SIGNAL RECOGNITION, BY END-USER INDUSTRY, 2013–2022 (USD MILLION) 65
TABLE 10 DEEP LEARNING MARKET FOR SIGNAL RECOGNITION, BY SUB APPLICATION, 2013–2022 (USD MILLION) 66
TABLE 11 DEEP LEARNING MARKET FOR DATA MINING, BY OFFERING,
2013–2022 (USD MILLION) 68
TABLE 12 DEEP LEARNING MARKET FOR DATA MINING, BY END-USER INDUSTRY,
2013–2022 (USD MILLION) 69
TABLE 13 DEEP LEARNING MARKET FOR DATA MINING, BY SUB APPLICATION,
2013–2022 (USD MILLION) 70
TABLE 14 DEEP LEARNING MARKET FOR OTHERS, BY OFFERING, 2013–2022 (USD MILLION) 72
TABLE 15 DEEP LEARNING MARKET FOR OTHERS, BY END-USER INDUSTRY,
2013–2022 (USD MILLION) 73
TABLE 16 DEEP LEARNING MARKET FOR OTHERS, BY SUB APPLICATION,
2013–2022 (USD MILLION) 74
TABLE 17 DEEP LEARNING MARKET, BY OFFERING, 2013–2022 (USD MILLION) 76
TABLE 18 DEEP LEARNING MARKET FOR HARDWARE, BY ARCHITECTURE,
2013–2022 (USD MILLION) 78
TABLE 19 DEEP LEARNING MARKET FOR HARDWARE, BY APPLICATION,
2013–2022 (USD MILLION) 78
TABLE 20 DEEP LEARNING MARKET FOR SOFTWARE, BY APPLICATION,
2013–2022 (USD MILLION) 80
TABLE 21 DEEP LEARNING MARKET, BY END-USER INDUSTRY, 2013–2022 (USD MILLION) 82
TABLE 22 DEEP LEARNING MARKET FOR AEROSPACE & DEFENSE INDUSTRY,
BY APPLICATION, 2013–2022 (USD MILLION) 83
TABLE 23 DEEP LEARNING MARKET FOR AEROSPACE & DEFENSE IN NORTH AMERICA,
BY COUNTRY2013–2022 (USD MILLION) 84
TABLE 24 DEEP LEARNING MARKET FOR AEROSPACE & DEFENSE IN EUROPE,
BY COUNTRY 2013–2022 (USD MILLION) 85
TABLE 25 DEEP LEARNING MARKET FOR AEROSPACE & DEFENSE IN APAC,
BY COUNTRY 2013–2022 (USD MILLION) 85
TABLE 26 DEEP LEARNING MARKET FOR IT & TELECOM, BY APPLICATION,
2013–2022 (USD MILLION) 87
TABLE 27 DEEP LEARNING MARKET FOR IT & TELECOM IN NORTH AMERICA,
BY COUNTRY, 2013–2022 (USD MILLION) 87
TABLE 28 DEEP LEARNING MARKET FOR IT & TELECOM IN EUROPE, BY COUNTRY,
2013–2022 (USD MILLION) 88
TABLE 29 DEEP LEARNING MARKET FOR IT & TELECOM IN APAC, BY COUNTRY,
2013–2022 (USD MILLION) 88
TABLE 30 DEEP LEARNING MARKET FOR MEDICAL, BY APPLICATION,
2013–2022 (USD MILLION) 89
TABLE 31 DEEP LEARNING MARKET FOR MEDICAL IN NORTH AMERICA, BY COUNTRY,
2013–2022 (USD MILLION) 90
TABLE 32 DEEP LEARNING MARKET FOR MEDICAL IN EUROPE, BY COUNTRY,
2013–2022 (USD MILLION) 90
TABLE 33 DEEP LEARNING MARKET FOR MEDICAL IN APAC, BY COUNTRY,
2013–2022 ( USD MILLION) 91
TABLE 34 DEEP LEARNING MARKET FOR AUTOMOTIVE, BY APPLICATION,
2013–2022 (USD MILLION) 93
TABLE 35 DEEP LEARNING MARKET FOR AUTOMOTIVE IN NORTH AMERICA, BY COUNTRY, 2013–2022 (USD MILLION) 93
TABLE 36 DEEP LEARNING MARKET FOR AUTOMOTIVE IN EUROPE, BY COUNTRY,
2013–2022 (USD MILLION) 94
TABLE 37 DEEP LEARNING MARKET FOR AUTOMOTIVE IN APAC, BY COUNTRY,
2013–2022 ( USD MILLION) 94
TABLE 38 DEEP LEARNING MARKET FOR INDUSTRIAL, BY APPLICATION,
2013–2022 (USD MILLION) 95
TABLE 39 DEEP LEARNING MARKET FOR INDUSTRIAL IN NORTH AMERICA,
BY COUNTRY, 2013–2022 (USD MILLION) 96
TABLE 40 DEEP LEARNING MARKET FOR INDUSTRIAL IN EUROPE, BY COUNTRY,
2013–2022 (USD MILLION) 97
TABLE 41 DEEP LEARNING MARKET FOR INDUSTRIAL IN APAC, BY COUNTRY,
2013–2022 ( USD MILLION) 97
TABLE 42 DEEP LEARNING MARKET FOR MEDIA & ADVERTISING, BY APPLICATION,
2013–2022 (USD MILLION) 98
TABLE 43 DEEP LEARNING MARKET FOR MEDIA & ADVERTISING IN NORTH AMERICA,
BY COUNTRY, 2013–2022 (USD MILLION) 99
TABLE 44 DEEP LEARNING MARKET FOR MEDIA & ADVERTISING IN EUROPE, BY COUNTRY, 2013–2022 (USD MILLION) 100
TABLE 45 DEEP LEARNING MARKET FOR MEDIA & ADVERTISING IN APAC, BY COUNTRY, 2013–2022 (USD MILLION) 100
TABLE 46 DEEP LEARNING MARKET FOR FINANCE, BY APPLICATION,
2013–2022 (USD MILLION) 101
TABLE 47 DEEP LEARNING MARKET FOR FINANCE IN NORTH AMERICA, BY COUNTRY,
2013–2022 (USD MILLION) 101
TABLE 48 DEEP LEARNING MARKET FOR FINANCE IN EUROPE, BY COUNTRY,
2013–2022 (USD MILLION) 102
TABLE 49 DEEP LEARNING MARKET FOR FINANCE IN APAC, BY COUNTRY,
2013–2022 ( USD MILLION) 102
TABLE 50 DEEP LEARNING MARKET FOR RETAIL, BY APPLICATION,
2013–2022 (USD MILLION) 103
TABLE 51 DEEP LEARNING MARKET FOR RETAIL IN NORTH AMERICA,BY COUNTRY,
2013–2022 (USD MILLION) 104
TABLE 52 DEEP LEARNING MARKET FOR RETAIL IN EUROPE, BY COUNTRY,
2013–2022 (USD MILLION) 104
TABLE 53 DEEP LEARNING MARKET FOR RETAIL IN APAC,BY COUNTRY,
2013–2022 ( USD MILLION) 105
TABLE 54 OIL, GAS, & ENERGYDEEP LEARNING MARKET FOR OIL, GAS, & ENERGY,
BY APPLICATION, 2013–2022 (USD MILLION) 106
TABLE 55 DEEP LEARNING MARKET FOR OIL, GAS, & ENERGY IN NORTH AMERICA,
BY COUNTRY, 2013–2022 (USD MILLION) 106
TABLE 56 DEEP LEARNING MARKET FOR OIL, GAS, & ENERGY IN EUROPE, BY COUNTRY,OIL, GAS, & ENERGY, 2013–2022 (USD MILLION) 107
TABLE 57 DEEP LEARNING MARKET FOR OIL, GAS, & ENERGY IN APAC, BY COUNTRY,OIL, GAS, & ENERGY, 2013–2022 ( USD MILLION) 107
TABLE 58 DEEP LEARNING MARKET FOR OTHER INDUSTRIES, BY APPLICATION,
2013–2022 (USD MILLION) 108
TABLE 59 DEEP LEARNING MARKET FOR OTHER INDUSTRIES IN NORTH AMERICA,
BY COUNTRY, 2013–2022 (USD MILLION) 108
TABLE 60 DEEP LEARNING MARKET FOR OTHER INDUSTRIES IN EUROPE, BY COUNTRY, 2013–2022 (USD MILLION) 109
TABLE 61 DEEP LEARNING MARKET FOR OTHER INDUSTRIES IN APAC, BY COUNTRY,
2013–2022 (USD MILLION) 109
TABLE 62 GLOBAL DEEP LEARNING MARKET, BY REGION, 2013–2022 (USD MILLION) 112
TABLE 63 DEEP LEARNING MARKET IN NORTH AMERICA, BY COUNTRY,
2013–2022 (USD MILLION) 115
TABLE 64 DEEP LEARNING MARKET IN EUROPE, BY COUNTRY, 2013–2022 (USD MILLION) 118
TABLE 65 DEEP LEARNING MARKET IN APAC, BY COUNTRY, 2013–2022 (USD MILLION) 122
TABLE 66 DEEP LEARNING MARKET IN ROW, BY COUNTRY, 2013–2022 (USD MILLION) 125
TABLE 67 MARKET RANKING OF THE KEY PLAYERS IN THE DEEP LEARNING MARKET, 2015 127
TABLE 68 TOP 5 PLAYERS IN THE DEEP LEARNING MARKET, 2015 128
TABLE 69 NEW PRODUCT DEVELOPMENTS (2013–2016) 131
TABLE 70 PARTNERSHIPS AND COLLABORATIONS (2014–2016) 132
TABLE 71 ACQUISITIONS (2013–2016) 133

LIST OF FIGURES

FIGURE 1 MARKET SEGMENTATION 17
FIGURE 2 DEEP LEARNING MARKET: RESEARCH DESIGN 20
FIGURE 3 DATA TRIANGULATION 26
FIGURE 4 RESEARCH PROCESS FLOW 27
FIGURE 5 DEEP LEARNING HARDWARE MARKET EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022 29
FIGURE 6 DEEP LEARNING MARKET, BY REGION (2015) 30
FIGURE 7 MEDICAL SECTOR EXPECTED TO WITNESS THE HIGHEST GROWTH RATE FOR THE DEEP LEARNING MARKET BETWEEN 2016 AND 2022 31
FIGURE 8 DEMAND FOR IMAGE RECOGNITION TECHNOLOGY IN DIFFERENT END-USER INDUSTRIES DRVING THE DEEP LEARNING MARKET 32
FIGURE 9 MARKET FOR DATA MINING APPLICATION EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 TO 2022 33
FIGURE 10 NORTH AMERICA EXPECTED TO HOLD THE LARGEST SHARE OF THE DEEP LEARNING MARKET IN 2016 AND 2022 33
FIGURE 11 NORTH AMERICA HELD THE LARGEST SHARE OF THE DEEP LEARNING MARKET IN 2015 34
FIGURE 12 NORTH AMERICAN DEEP LEARNING MARKET EXPECTED TO GROW AT A HIGH RATE DURING THE FORECAST PERIOD 35
FIGURE 13 DEEP LEARNING MARKET FOR HARDWARE SEGMENT EXPECTED TO GROW AT A HIGHER RATE BETWEEN 2016 AND 2022 36
FIGURE 14 SEGMENTATION, BY GEOGRAPHY 39
FIGURE 15 DEEP LEARNING USAGE IN BIG DATA ANALYTICS IS ONE OF THE KEY FACTORS THAT WOULD DRIVE THE GROWTH OF THE DEEP LEARNING MARKET 40
FIGURE 16 VALUE CHAIN ANALYSIS: MAJOR VALUE WAS ADDED DURING THE MANUFACTURING AND TESTING PHASES 47
FIGURE 17 KEY INDUSTRY DEVELOPMENTS: INNOVATIVE SOLUTIONS OFFERED 48
FIGURE 18 PORTER’S FIVE FORCES ANALYSIS, 2015 49
FIGURE 19 DEEP LEARNING MARKET: PORTER’S FIVE FORCES ANALYSIS, 2015 50
FIGURE 20 INDUSTRY RIVARLY HAD A HIGH IMPACT ON THE DEEP LEARNING MARKET IN 2015 51
FIGURE 21 THREAT OF NEW ENTRANTS HAD A HIGH IMPACT ON THE DEEP LEARNING MARKET IN 2015 52
FIGURE 22 BARGAINING POWER OF SUPPLIERS HAD A LOW IMPACT ON THE DEEP LEARNING MARKET IN 2015 53
FIGURE 23 BARGAINING POWER OF BUYERS HAD A LOW IMPACT ON THE DEEP LEARNING MARKET IN 2015 54
FIGURE 24 DEEP LEARNING MARKET SEGMENTATION, BY APPLICATION 56
FIGURE 25 IMAGE RECOGNITION TO HOLD MAJOR SHARE IN DEEP LEARNING MARKET BETWEEN 2016 AND 2022 57
FIGURE 26 DEEP LEARNING MARKET FOR MEDICAL AND SATELLITE IMAGING SUB APPLICATION IS EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022 60
FIGURE 27 MACHINE VISION OPERATION 61
FIGURE 28 TYPES OF SIGNAL RECOGNITION 64
FIGURE 29 FINANCE INDUSTRY TO LEAD THE DEEP LEARNING MARKET FOR SIGNAL RECOGNITION BETWEEN 2016 AND 2022 65
FIGURE 30 TYPES OF DATA MINING 68
FIGURE 31 DEEP LEARNING MARKET FOR CYBER SECURITY SUB APPLICATION OF DATA MINING APPLICATION TO GROW AT HIGHEST RATE BETWEEN 2016 AND 2022 70
FIGURE 32 MEDICAL INDUSTRY TO GROW AT THE HIGEST RATE IN OTHERS APPLICATION BETWEEN 2016 AND 2022 73
FIGURE 33 DEEP LEARNING HARDWARE MARKET EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022 76
FIGURE 34 DATA MINING APPLICATION OF DEEP LEARNING SOFTWARE EXPECTED TO WITNESS THE HIGHEST GROWTH RATEBETWEEN 2016 AND 2022 79
FIGURE 35 DEEP LEARNING MARKET FOR MEDICAL SECTOR EXPECTED TO GROW AT THE HIGHEST CAGR BETWEEN 2016 TO 2022 82
FIGURE 36 U.S. LED THE NORTH AMERICAN DEEP LEARNING MARKET FOR AEROSPACE & DEFENSE INDUSTRY IN 2015 84
FIGURE 37 SIGNAL RECOGNITION APPLICATION FOR IT & TELECOM INDUSTRY TO WITNESS THE HIGHEST GROWTH RATE BETWEEN 2016 AND 2022 86
FIGURE 38 CHINA EXPECTED TO HOLD THE LARGEST SHARE OF THE APAC DEEP LEARNING MARKET FOR MEDICAL INDUSTRY BETWEEN 2016 AND 2022 91
FIGURE 39 DEEP LEARNING MARKET FOR DATA MINING APPLICATION IN AUTOMOTIVE INDUSTRY EXPECTED TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022 92
FIGURE 40 U.S. HELD THE LARGEST SHARE OF THE DEEP LEARNING MARKET FOR INDUSTRIAL SECTOR IN NORTH AMERICA (2015) 96
FIGURE 41 GERMANY EXPECTED TO HOLD THE LARGEST SHARE OF THE DEEP LEARNING MARKET IN EUROPE FOR MEDIA & ADVERTISEENT IN 2016 AND 2022 99
FIGURE 42 DEEP LEARNING MARKET SEGMENTATION, BY REGION 111
FIGURE 43 GEOGRAPHIC SNAPSHOT OF DEEP LEARNING MARKET (2016–2022) 112
FIGURE 44 SNAPSHOT OF DEEP LEARNING MARKET IN NORTH AMERICA 114
FIGURE 45 NORTH AMERICA MARKET SEGMENTATION, BY COUNTRY 115
FIGURE 46 EUROPE MARKET SEGMENTATION, BY COUNTRY 117
FIGURE 47 DEEP LEARNING MARKET IN EUROPE FOR THE REST OF EUROPE TO GROW AT THE HIGHEST RATE BETWEEN 2016 AND 2022 118
FIGURE 48 SNAPSHOT OF DEEP LEARNING MARKET IN APAC 121
FIGURE 49 APAC MARKET SEGMENTATION, BY COUNTRY 122
FIGURE 50 AFRICA TO HOLD MAJOR SHARE IN ROW FOR DEEP LEARNING MARKET BETWEEN 2016 AND 2022 125
FIGURE 51 COMPANIES ADOPTED NEW PRODUCT DEVELOPMENTS AS THE KEY GROWTH STRATEGY BETWEEN 2013 AND 2016 126
FIGURE 52 MARKET EVOLUTION FRAMEWORK: NEW PRODUCT DEVELOPMENTS WAS THE MAJOR STRATEGY ADOPTED BY KEY PLAYERS (2013–2016) 130
FIGURE 53 BATTLE FOR MARKET SHARE: NEW PRODUCT DEVELOPMENTS WAS THE KEY GROWTH STRATEGY 131
FIGURE 54 GEOGRAPHIC REVENUE MIX OF THE MAJOR MARKET PLAYERS (2015) 134
FIGURE 55 GOOGLE INC.: COMPANY SNAPSHOT 136
FIGURE 56 GOOGLE INC.: SWOT ANALYSIS 138
FIGURE 57 IBM CORPORATION: COMPANY SNAPSHOT 140
FIGURE 58 IBM CORPORATION: SWOT ANALYSIS 142
FIGURE 59 INTEL CORPORATION: COMPANY SNAPSHOT 144
FIGURE 60 INTEL CORPORATION: SWOT ANALYSIS 146
FIGURE 61 MICROSOFT CORPORATION : COMPANY SNAPSHOT 148
FIGURE 62 MICROSOFT CORPORATION :SWOT ANALYSIS 149
FIGURE 63 NVIDIA CORPORATION: COMPANY SNAPSHOT 151
FIGURE 64 NVIDIA CORPORATION: SWOT ANALYSIS 153
FIGURE 65 HEWLETT PACKARD ENTERPRISE: COMPANY SNAPSHOT 155
FIGURE 66 BAIDU INC.: COMPANY SNAPSHOT 158
FIGURE 67 QUALCOMM TECHNOLOGIES, INC: COMPANY SNAPSHOT 161

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