Marktanalyse - 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

MarketsandMarkets
11.2016
182 Seiten

 
Typ:
Marktanalyse
Verfüg­barkeit:
verfügbar
Regionen/­Länder:
  • Europa
  • Asien / Pazifik
  • Mittlerer Osten / Afrika
  • Nordamerika / USA
  • Australien
  • Mittel- / Südamerika
Sprache:
Englisch

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Deep learning market projected to grow at a CAGR of 65.3% between 2016 and 2022”
According to the new market research report on deep learning, this market is expected to be worth USD 1,772.9 million by 2022, growing at a CAGR of 65.3% between 2016 and 2022. The growth of the deep learning market can be attributed to the increasing demand for deep learning applications in different end-user industries such as automotive, media and advertising, finance, medical, aerospace and defense, and others. This market growth is further propelled by its usage in Big Data analytics. However, the increasing complexity in hardware due to the complex algorithm used in the deep learning technology restrains the growth of the market.
'Image recognition application holds the largest share of the market”
This report covers deep learning applications such as image recognition, signal recognition, data mining, and others. Image recognition holds the largest share of the deep learning market owing to its use in industries such as aerospace and defense, I.T. and telecom, and media and advertising. The image recognition market is growing with the advent and increasing use of technology in social media platforms such as Facebook, Instagram, and Flickr. The increasing adoption of Android, Windows, and iOS phones would further fuel the demand for the image recognition application in the deep learning market.
'Software holds the largest share of the deep learning market by offering”
This report covers the hardware and software offering in the deep learning technology. Software holds the larger share of the deep learning market in the image recognition application because of the rising demand for image data analysis among online marketing and security and surveillance companies. For instance, in the security and surveillance industry, the image recognition technology is used for biometric face mapping, vehicle identification, and monitoring of public facilities to enhance indoor as well as outdoor security.
'Deep learning market in North America expected to grow at the highest rate”
This report covers the deep learning market in regions including North America, Europe, Asia-Pacific, and Rest of the World (RoW). The market in North America is expected to grow at a high CAGR between 2016 and 2022. The major reason for the growth of the deep learning market in North America is the presence of major companies in the region offering deep learning solutions/platforms and hardware such as Google Inc. (U.S.), IBM Corp. (U.S.), Microsoft Corporation (U.S.), Qualcomm Technologies, Inc. (U.S.), Skymind (U.S, Hewlett Packard Enterprise (U.S.), Sensory Inc. (U.S.), General Vision Inc. (U.S.), Intel Corporation (U.S.), and NVIDIA Corporation (U.S.).
Breakdown of profile of primary participants:

• By Company Type: Tier 1 - 20%, Tier 2 - 55%, and Tier 3 - 25%
• By Designation: C level - 50%, Director level - 25%, and Others - 25%
• By Region: North America - 60%, APAC - 10%, Europe - 20%, and RoW - 10%

The companies that are profiled in the report are Google Inc. (U.S.), IBM Corp. (U.S.), Microsoft Corporation (U.S.), Qualcomm Technologies, Inc. (U.S.), Skymind (U.S.), Baidu, Inc. (China), Hewlett Packard Enterprise (U.S.), Sensory Inc. (U.S.), General Vision Inc. (U.S.), Intel Corporation (U.S.), and NVIDIA Corporation (U.S.).
Research Coverage:

This report covers the key software solutions/platforms and components of the deep learning market. Deep learning is deployed in different applications such as image recognition, signal recognition, data mining, and others (recommender system and drug discovery). The report covers various end-user industries such as aerospace and defense, IT and telecom, medical, automotive, industrial, media and advertising, finance, retail, oil, gas and energy, and others (agriculture, education, law). The entire deep learning market is segmented on the basis of region into North America, Europe, APAC, and RoW.

Reasons to Buy the Report:
• This report includes the market statistics pertaining to application, offering, end-user industry, and geography along with their respective revenue.
• The Porter’s Five Forces framework has been provided along with the value chain analysis to provide an in-depth insight into the deep learning market.
• The major drivers, restraints, challenges, and opportunities for the deep learning market have been detailed in this report.
• Illustrative segmentation, analysis, and forecast for deep learning market based on application, offering, end-use application and geography have been provided to give an overall view of the deep learning market.
• A detailed competitive landscape has been provided including key players, in-depth analysis, and revenue of key players.
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

13.1 INSIGHTS FROM INDUSTRY EXPERTS 168

13.2 DISCUSSION GUIDE 169

13.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 174

13.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 176

13.5 AVAILABLE CUSTOMIZATIONS 178

13.6 RELATED REPORTS 179

13.7 AUTHOR DETAILS 180





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

* Alle Preise sind netto ausgewiesen. In Abhängigkeit von Ihrer Rechnungsanschrift ist hierauf noch USt. zu entrichten (Deutschland z.Z. 19%). Unser Angebot richtet sich ausschließlich an Unternehmen, Gewerbetreibende und Freiberufler.

 

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