Marktanalyse - Neural Network Software Market by Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical, and Region - Global Forecast to 2021

MarketsandMarkets
01.2017
150 Seiten

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

Bitte wählen Sie ein Lieferformat und klicken Sie unten auf einen Bestellbutton:

PDF-Datei per E-Mail, Single User Price, versandkostenfrei
PDF-Datei per E-Mail, Multiple User License**, versandkostenfrei
PDF-Datei per E-Mail, Enterprisewide Price (Global Site License)***, versandkostenfrei


Hinweise: **grants the rights for 5 users within the same location ***allows for unlimited simultaneous usage on every computer throughout all company facilities and locations worldwide.

Increasing demand for predicting solutions and analytical tools is expected to drive the neural network software market”
MarketsandMarkets forecasts the global neural network software market to expand from USD 7.17 billion in 2016 to USD 22.55 billion by 2021, at a Compound Annual Growth Rate (CAGR) of 33.2%. The market is escalating rapidly owing to rising digitization trend and the surplus amount of spatial and unorganized data. The need to cluster such data and derive valuable insights with the help of analytical tools has led to the growing demand for neural network software, which helps in smooth and efficient completion of the task.
'Analytical software type is expected to hold the largest market share during the forecast period”
The neural network software type market has been segmented into data mining and archiving, analytical software, optimization software, and visualization software. The deployment of analytical software is high majorly due to the growing amount of data across varied end use verticals and the need to manage it.
'Middle East and Africa (MEA) is expected to forecast potential growth characteristics and is expected to grow at the highest CAGR '
MEA offers prospective growth opportunities. The major factors affecting the growth in the MEA region include smart technology initiatives, also the MEA countries have witnessed tremendous traction in terms of neural network software along with the growing adoption of Artificial Neural Network (ANN) solutions.

In the process of determining and verifying the market size for several segments and subsegments gathered through secondary research, extensive primary interviews were conducted with key people. Break-up of profile of primary participants is as follows: Breakup of Primary Interviews:
? By Company type — Tier 1- 40%, Tier 2- 30%, Tier 3- 30%
? By Designation — C-Level- 68%, Director Level- 17% Others- 15%
? By Region — North America- 40%, Europe- 20%, APAC- 40%
The report includes prominent players in ANN ecosystem such as Google Inc. (California, U.S.), IBM Corporation (New York, U.S.), Microsoft Corporation (Washington DC, U.S.), Intel Corporation (California, U.S.), Oracle Corporation (California, U.S.), SAP SE (Waldorf, Germany), and Qualcomm Technologies Inc. (California, U.S.). The key innovators concentrating mainly on neural network software include Alyuda Research LLC (California, U.S.), Neural Technologies Ltd. (England, U.K.), Ward Systems Group Inc. (Maryland U.S.), Afiniti (Washington DC, U.S.), GMDH LLC (New York, U.S.), Starmind International AG (Küsnacht, Switzerland), Neuralware (Pennsylvania, U.S.), Slagkryssaren AB (Stockholm, Sweden), AND Corporation (Ontario, Canada), and Swiftkey (London, U.K.)

Research Coverage:
The artificial neural network ecosystem is segmented by components which include neural network software, services and platform, and other enabling services. Neural network software is further sub-segmented on the basis of software type, end users, and region. Neural network software types include data mining and archiving, analytical software, optimization software, and visualization software. Segmentation on the basis of end-use verticals include BFSI, government and defense, energy and utilities, healthcare, media, transportation and logistics, telecom and IT, industrial manufacturing, retail and eCommerce, and others. The regional analysis includes the study of North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.
Reasons to buy the report
The report will help the market leaders or new entrants in the following ways:
1. This report segments the market into various segments, covering this market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the segments.
2. This report will help in the better understanding of the competitors and there is a separate section on competitive landscape, including mergers & acquisitions, integrations & expansions, and partnerships among market vendors.
3. The report helps in understanding the overall growth of the market and key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS



1 INTRODUCTION 14

1.1 OBJECTIVES OF THE STUDY 14

1.2 MARKET DEFINITION 14

1.3 MARKET SCOPE 15

1.3.1 MARKETS COVERED 15

1.3.2 YEARS CONSIDERED FOR THE STUDY 16

1.3.3 CURRENCY 16

1.3.4 LIMITATIONS 16

1.4 STAKEHOLDERS 17

2 RESEARCH METHODOLOGY 18

2.1 RESEARCH DATA 18

2.1.1 SECONDARY DATA 19

2.1.1.1 Key data from secondary sources 19

2.1.2 PRIMARY DATA 19

2.1.2.1 Data from primary sources 20

2.1.2.2 Key industry insights 21

2.1.2.3 Breakdown of primaries 21

2.2 MARKET SIZE ESTIMATION 22

2.2.1 BOTTOM-UP APPROACH 22

2.2.2 TOP-DOWN APPROACH 23

2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 24

2.4 VENDOR DIVE MATRIX METHODOLOGY 25

2.5 RESEARCH ASSUMPTIONS 26

3 EXECUTIVE SUMMARY 27

4 PREMIUM INSIGHTS 31

4.1 ATTRACTIVE OPPORTUNITIES IN THE NEURAL NETWORK SOFTWARE MARKET 31

4.2 NEURAL NETWORK SOFTWARE MARKET: TOP END USERS 31

4.3 GLOBAL NEURAL NETWORK SOFTWARE MARKET, BY REGION AND END USER 32

4.4 LIFECYCLE ANALYSIS, BY REGION, 2015 32

5 MARKET OVERVIEW 34

5.1 INTRODUCTION 35

5.2 KEY COMPONENTS OF THE ARTIFICIAL NEURAL NETWORK ARCHITECTURE 35

5.3 MARKET SEGMENTATION 36

5.3.1 BY NEURAL NETWORK COMPONENT 36

5.3.2 BY TYPE 36

5.3.3 BY VERTICAL 37

5.3.4 BY REGION 37

5.4 MARKET DYNAMICS 38

5.4.1 DRIVERS 39

5.4.1.1 Availability of spatial data and analytical tools 39

5.4.1.2 Increasing demand for predicting solutions 39

5.4.2 RESTRAINTS 39

5.4.2.1 Slow digitization rate across emerging economies 39

5.4.2.2 Lack of expertise and other operational challenges 39

5.4.3 OPPORTUNITIES 40

5.4.3.1 Growing innovations across end-use verticals 40

5.4.3.2 Increasing use of deep neural network in IoT 40

5.4.4 CHALLENGES 40

5.4.4.1 Difficulty in training multilayer neural networks 40

6 INDUSTRY TRENDS 41

6.1 INTRODUCTION 41

6.2 NEURAL NETWORK SOFTWARE: EVOLUTION 41

6.3 NEURAL NETWORK SOFTWARE: VALUE CHAIN ANALYSIS 42

6.4 ECOSYSTEM OF ARTIFICIAL NEURAL NETWORK 43

7 ARTIFICIAL NEURAL NETWORK MARKET ANALYSIS, BY COMPONENT 45

7.1 INTRODUCTION 46

7.2 NEURAL NETWORK SOFTWARE 47

7.3 SERVICES 48

7.4 PLATFORM AND OTHER ENABLING SERVICES 48

8 NEURAL NETWORK SOFTWARE MARKET ANALYSIS, BY TYPE 49

8.1 INTRODUCTION 50

8.2 DATA MINING AND ARCHIVING 51

8.3 ANALYTICAL SOFTWARE 53

8.4 OPTIMIZATION SOFTWARE 54

8.4.1 GENETIC ALGORITHM 54

8.4.2 SIMULATED ANNEALING 55

8.5 VISUALIZATION SOFTWARE 56

9 NEURAL NETWORK SOFTWARE MARKET ANALYSIS, BY VERTICAL 57

9.1 INTRODUCTION 58

9.2 BANKING, FINANCIAL SERVICES, AND INSURANCE 59

9.2.1 USE CASE 59

?

9.3 GOVERNMENT AND DEFENSE 60

9.3.1 USE CASE 60

9.4 ENERGY AND UTILITIES 60

9.4.1 USE CASE 60

9.5 HEALTHCARE 60

9.5.1 USE CASE 61

9.6 INDUSTRIAL MANUFACTURING 61

9.6.1 USE CASE 61

9.7 MEDIA 61

9.7.1 USE CASE 61

9.8 RETAIL AND ECOMMERCE 62

9.8.1 USE CASE 62

9.9 TRANSPORTATION AND LOGISTICS 62

9.9.1 USE CASE 62

9.10 TELECOM AND IT 62

9.10.1 USE CASE 63

9.11 OTHERS 63

10 GEOGRAPHIC ANALYSIS 64

10.1 INTRODUCTION 65

10.2 NORTH AMERICA 66

10.2.1 UNITED STATES (U.S.) 71

10.2.2 CANADA 72

10.3 EUROPE 72

10.3.1 UNITED KINGDOM (U.K.) 76

10.3.2 GERMANY 77

10.3.3 RUSSIA 77

10.3.4 REST OF EUROPE 78

10.4 ASIA-PACIFIC 79

10.4.1 CHINA 83

10.4.2 AUSTRALIA 83

10.4.3 SOUTH KOREA 84

10.4.4 REST OF ASIA-PACIFIC 85

10.5 MIDDLE EAST AND AFRICA 87

10.5.1 MIDDLE EAST 91

10.5.2 AFRICA 92

10.6 LATIN AMERICA 92

10.6.1 BRAZIL 97

10.6.2 MEXICO 98

10.6.3 REST OF LATIN AMERICA 99

?

11 COMPETITIVE LANDSCAPE 100

11.1 VENDOR DIVE OVERVIEW 100

11.2 NEURAL NETWORK SOFTWARE: MNM DIVE — VENDOR COMPARISON 100

11.3 GROWTH STRATEGIES, 2014—2016 102

11.4 COMPETITIVE SITUATION AND TRENDS 103

11.4.1 AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS 104

11.4.2 MERGERS AND ACQUISITIONS 105

11.4.3 NEW PRODUCT LAUNCHES 106

11.5 MAJOR APPLICATION AREAS CATERED BY THE KEY INNOVATORS 107

11.6 GEOGRAPHIC FOOTPRINT FOR KEY INNOVATORS 108

12 COMPANY PROFILES 109

(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*

12.1 GOOGLE INC. 110

12.2 INTERNATIONAL BUSINESS MACHINES CORPORATION 113

12.3 MICROSOFT CORPORATION 116

12.4 ORACLE CORPORATION 119

12.5 INTEL CORPORATION 122

12.6 QUALCOMM TECHNOLOGIES, INC. 125

12.7 SAP SE 127

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View might not be captured in case of unlisted companies.

13 KEY INNOVATORS 130

13.1 ALYUDA RESEARCH, LLC. 130

13.1.1 BUSINESS OVERVIEW 130

13.1.2 SOLUTIONS OFFERED 130

13.1.3 MNM VIEW 131

13.1.3.1 Key strategies 131

13.2 NEURAL TECHNOLOGIES LIMITED 131

13.2.1 BUSINESS OVERVIEW 131

13.2.2 SOLUTIONS OFFERED 132

13.2.3 RECENT DEVELOPMENTS 132

13.2.4 MNM VIEW 132

13.2.4.1 Key strategies 132

13.3 WARD SYSTEMS GROUP, INC. 133

13.3.1 BUSINESS OVERVIEW 133

13.3.2 SOLUTIONS OFFERED 133

13.3.3 RECENT DEVELOPMENTS 134

13.3.4 MNM VIEW 134

13.3.4.1 Key strategies 134

13.4 AFINITI 134

13.4.1 BUSINESS OVERVIEW 134

13.4.2 RECENT DEVELOPMENTS 135

13.4.3 MNM VIEW 135

13.4.3.1 Key strategies 135

13.5 GMDH, LLC 135

13.5.1 BUSINESS OVERVIEW 135

13.6 STARMIND INTERNATIONAL AG 136

13.6.1 BUSINESS OVERVIEW 136

13.6.2 RECENT DEVELOPMENT 136

13.6.3 MNM VIEW 136

13.6.3.1 Key strategies 136

13.7 NEURALWARE 137

13.7.1 BUSINESS OVERVIEW 137

13.7.2 SOLUTIONS OFFERED 137

13.7.3 MNM VIEW 137

13.7.3.1 Key strategies 137

13.8 SLAGKRYSSAREN AB 138

13.8.1 BUSINESS OVERVIEW 138

13.9 AND CORPORATION 138

13.9.1 BUSINESS OVERVIEW 138

13.9.2 SOLUTIONS OFFERED 138

13.10 SWIFTKEY 139

13.10.1 BUSINESS OVERVIEW 139

13.10.2 RECENT DEVELOPMENTS 139

13.10.3 MNM VIEW 139

13.10.3.1 Key strategies 139

14 APPENDIX 140

14.1 INSIGHTS OF INDUSTRY EXPERTS 140

14.2 DISCUSSION GUIDE 141

14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 144

14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE 146

14.5 RELATED REPORTS 147

14.6 AUTHOR DETAILS 148





LIST OF TABLES



TABLE 1 GLOBAL ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COMPONENT,

2014—2021 (USD BILLION) 28

TABLE 2 GLOBAL ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY REGION,

2014—2021 (USD MILLION) 28

TABLE 3 GLOBAL NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION,

2014—2021 (USD MILLION) 28

TABLE 4 ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY COMPONENT,

2014—2021 (USD BILLION) 46

TABLE 5 ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY REGION,

2014—2021 (USD BILLION) 47

TABLE 6 NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION,

2014—2021 (USD MILLION) 47

TABLE 7 NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE,

2014—2021 (USD MILLION) 51

TABLE 8 DATA MINING AND ARCHIVING: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY REGION, 2014—2021 (USD MILLION) 52

TABLE 9 DATA MINING AND ARCHIVING: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 52

TABLE 10 ANALYTICAL SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014—2021 (USD MILLION) 53

TABLE 11 ANALYTICAL SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 54

TABLE 12 OPTIMIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY REGION, 2014—2021 (USD MILLION) 55

TABLE 13 OPTIMIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 55

TABLE 14 VISUALIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY REGION, 2014—2021 (USD MILLION) 56

TABLE 15 VISUALIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 56

TABLE 16 NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 59

TABLE 17 ARTIFICIAL NEURAL NETWORK MARKET SIZE, BY REGION,

2014—2021 (USD MILLION) 66

TABLE 18 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE,

2014—2021 (USD MILLION) 68

TABLE 19 NORTH AMERICA: DATA MINING AND ARCHIVING SOFTWARE MARKET SIZE,

BY VERTICAL 2014—2021 (USD MILLION) 68

TABLE 20 NORTH AMERICA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 69

TABLE 21 NORTH AMERICA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 69

TABLE 22 NORTH AMERICA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 70

TABLE 23 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 70

TABLE 24 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014—2021 (USD MILLION) 71

TABLE 25 UNITED STATES: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 71

TABLE 26 CANADA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 72

TABLE 27 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE,

2014—2021 (USD MILLION) 73

TABLE 28 EUROPE: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 73

TABLE 29 EUROPE: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 74

TABLE 30 EUROPE: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 74

TABLE 31 EUROPE: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 75

TABLE 32 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 75

TABLE 33 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY,

2014—2021 (USD MILLION) 76

TABLE 34 UNITED KINGDOM: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 76

TABLE 35 GERMANY: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 77

TABLE 36 RUSSIA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 78

TABLE 37 REST OF EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 78

TABLE 38 ASIA-PACIFIC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE,

2014—2021 (USD MILLION) 79

TABLE 39 ASIA-PACIFIC: DATA MINING AND ARCHIVING SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 80

TABLE 40 ASIA-PACIFIC: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 80

TABLE 41 ASIA-PACIFIC: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 81

TABLE 42 ASIA-PACIFIC: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 81

TABLE 43 ASIA-PACIFIC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 82

TABLE 44 ASIA-PACIFIC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY,

2014—2021 (USD MILLION) 82

TABLE 45 CHINA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 83

TABLE 46 AUSTRALIA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 84

TABLE 47 SOUTH KOREA: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL,

2014—2021 (USD MILLION) 85

TABLE 48 REST OF ASIA-PACIFIC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 86

TABLE 49 MIDDLE EAST AND AFRICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014—2021 (USD MILLION) 88

TABLE 50 MIDDLE EAST AND AFRICA: DATA MINING AND ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 88

TABLE 51 MIDDLE EAST AND AFRICA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 89

TABLE 52 MIDDLE EAST AND AFRICA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 89

TABLE 53 MIDDLE EAST AND AFRICA: VISUALIZATION SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 90

TABLE 54 MIDDLE EAST AND AFRICA: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 90

TABLE 55 MIDDLE EAST AND AFRICA: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY SUB-REGION, 2014—2021 (USD MILLION) 91

TABLE 56 MIDDLE EAST: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL,

2014—2021 (USD MILLION) 91

TABLE 57 AFRICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 92

TABLE 58 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE,

2014—2021 (USD MILLION) 93

TABLE 59 LATIN AMERICA: DATA MINING AND ARCHIVING SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 93

TABLE 60 LATIN AMERICA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 94

TABLE 61 LATIN AMERICA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 94

TABLE 62 LATIN AMERICA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 95

TABLE 63 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014—2021 (USD MILLION) 96

TABLE 64 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014—2021 (USD MILLION) 96

TABLE 65 BRAZIL: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL,

2014—2021 (USD MILLION) 97

TABLE 66 MEXICO: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL,

2014—2021 (USD MILLION) 98

TABLE 67 REST OF LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE,

BY VERTICAL, 2014—2021 (USD MILLION) 99

TABLE 68 AGREEMENTS, PARTNERSHIPS, AND COLLABORATIONS, 2015—2016 104

TABLE 69 MERGERS AND ACQUISITIONS, 2014—2016 105

TABLE 70 NEW PRODUCT LAUNCHES, 2014—2016 106

TABLE 71 NEURAL NETWORK SOFTWARE MAPPED TO MAJOR APPLICATION AREAS 107

TABLE 72 NEURAL NETWORK SOFTWARE MAPPED TO MAJOR GEOGRAPHIC REGIONS 108





LIST OF FIGURES



FIGURE 1 MARKETS COVERED 15

FIGURE 2 GLOBAL NEURAL NETWORK SOFTWARE MARKET: RESEARCH DESIGN 18

FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH 22

FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH 23

FIGURE 5 MARKET BREAKDOWN AND DATA TRIANGULATION 24

FIGURE 6 ARTIFICIAL NEURAL NETWORK MARKET SNAPSHOT (2016 VS. 2021):

BY ANN COMPONENT 29

FIGURE 7 NEURAL NETWORK SOFTWARE MARKET SNAPSHOT (2016 VS. 2021):

BY SOFTWARE TYPE 29

FIGURE 8 MIDDLE EAST AND AFRICA IS EXPECTED TO WITNESS HIGHEST GROWTH TREND FROM 2016 TO 2021 30

FIGURE 9 DATA MINING AND ARCHIVING ADOPTION IS EXPECTED TO BE A MAJOR DRIVING FACTOR FOR NEURAL NETWORK SOFTWARE MARKET IN THE FORECAST PERIOD 31

FIGURE 10 INDUSTRIAL MANUFACTURING AND TRANSPORTATION & LOGISTICS SECTORS EXPECTED TO SHOW THE HIGHEST GROWTH RATES IN NEURAL NETWORK SOFTWARE MARKET DURING THE FORECAST PERIOD 2016—2021 31

FIGURE 11 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN

THE NEURAL NETWORK SOFTWARE MARKET 32

FIGURE 12 REGIONAL LIFECYCLE: ASIA-PACIFIC IS EXPECTED TO BE IN THE GROWTH PHASE

IN 2015 33

FIGURE 13 ARTIFICIAL NEURAL NETWORK ARCHITECTURE 35

FIGURE 14 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY COMPONENT 36

FIGURE 15 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY TYPE 36

FIGURE 16 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY VERTICAL 37

FIGURE 17 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY REGION 37

FIGURE 18 NEURAL NETWORK SOFTWARE: DRIVERS, RESTRAINTS, OPPORTUNITIES,

AND CHALLENGES 38

FIGURE 19 NEURAL NETWORK SOFTWARE EVOLUTION FROM 1950 TO 2015 41

FIGURE 20 VALUE CHAIN ANALYSIS 43

FIGURE 21 NEURAL NETWORK SOFTWARE ECOSYSTEM 44

FIGURE 22 NEURAL NETWORK SOFTWARE EXPECTED TO GROW AT THE HIGHEST RATE DURING THE FORECAST PERIOD IN ARTIFICIAL NEURAL NETWORK ECOSYSTEM 46

FIGURE 23 DATA MINING AND ARCHIVING EXPECTED TO WITNESS THE HIGHEST GROWTH RATE IN NEURAL NETWORK SOFTWARE MARKET FROM 2016 TO 2021 50

FIGURE 24 GROWTH TRENDS FOR ALL THE NEURAL NETWORK SOFTWARE TYPES DURING 2016—2021 50

FIGURE 25 BFSI SECTOR IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN NEURAL NETWORK SOFTWARE MARKET IN THE FORECAST PERIOD. 58

FIGURE 26 NEURAL NETWORK SOFTWARE MARKET IN MEA IS EXPECTED TO GROW WITH

THE HIGHEST GROWTH RATE FROM 2016 TO 2021 65

FIGURE 27 NORTH AMERICA 2016 MARKET SNAPSHOT 67

FIGURE 28 MIDDLE EAST AND AFRICA MARKET SNAPSHOT 87

FIGURE 29 BUSINESS STRATEGY ANALYSIS 100

FIGURE 30 PRODUCT OFFERING ANALYSIS 101

FIGURE 31 COMPANIES ADOPTED NEW PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGY FROM 2014 TO 2016 102

FIGURE 32 MERGERS AND ACQUISITIONS ARE EXPECTED TO BE THE MAJOR MODE OF DEVELOPMENT FOR NEURAL NETWORK SOFTWARE MARKET 103

FIGURE 33 MERGERS AND ACQUISITIONS HAVE BEEN THE KEY GROWTH STRATEGY FOR COMPANIES DURING THE PERIOD 2014 TO 2016 104

FIGURE 34 GEOGRAPHIC REVENUE MIX OF THE TOP 5 MARKET PLAYERS 109

FIGURE 35 GOOGLE INC.: COMPANY SNAPSHOT 110

FIGURE 36 GOOGLE INC.: SWOT ANALYSIS 112

FIGURE 37 INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT 113

FIGURE 38 INTERNATIONAL BUSINESS MACHINES CORPORATION: SWOT ANALYSIS 115

FIGURE 39 MICROSOFT CORPORATION: COMPANY SNAPSHOT 116

FIGURE 40 MICROSOFT CORPORATION: SWOT ANALYSIS 118

FIGURE 41 ORACLE CORPORATION: COMPANY SNAPSHOT 119

FIGURE 42 ORACLE CORPORATION: SWOT ANALYSIS 121

FIGURE 43 INTEL CORPORATION: COMPANY SNAPSHOT 122

FIGURE 44 INTEL CORPORATION: SWOT ANALYSIS 124

FIGURE 45 QUALCOMM TECHNOLOGIES, INC.: COMPANY SNAPSHOT 125

FIGURE 46 SAP SE: COMPANY SNAPSHOT 127

FIGURE 47 SAP SE: SWOT ANALYSIS 129

* 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.

 

Über marktforschung.de

Branchenwissen an zentraler Stelle bündeln und abrufbar machen – das ist das Hauptanliegen von marktforschung.de. Unser breites Informationsangebot rund um die Marktforschung richtet sich sowohl an Marktforschungsinstitute, Felddienstleister, Panelbetreiber und Herausgeber von Studien, Marktdaten sowie Marktanalysen als auch an deren Kunden aus Industrie, Handel und Dienstleistungsgewerbe.

facebook twitter google plus