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

ニューラルネットワークソフトウェアの世界市場予測(~2021):種類別(データマイニング&データアーカイブ、分析ソフトウェア、最適化ソフトウェア、可視化ソフトウェア)、産業別、地域別

◆タイトル:Neural Network Software Market by Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical, and Region - Global Forecast to 2021
◆商品コード:MAM-TC-4923
◆調査・発行会社:MarketsandMarkets
◆発行日:2017年1月17日
◆ページ数:150
◆レポート形式:PDF / 英語
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◆調査対象地域:グローバル
◆産業分野:IT
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【レポートの概要】

当調査レポートでは、ニューラルネットワークソフトウェアの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、産業動向、バリューチェーン分析、種類別分析、産業別分析、地域別分析、ニューラルネットワークソフトウェアの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

“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.

【レポートの目次】

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


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ニューラルネットワークソフトウェア、ニューラルネットワークソフトウェア種類、データマイニング、データアーカイブ、分析ソフトウェア、最適化ソフトウェア、可視化ソフトウェア、産業、地域

★調査レポート[ニューラルネットワークソフトウェアの世界市場予測(~2021):種類別(データマイニング&データアーカイブ、分析ソフトウェア、最適化ソフトウェア、可視化ソフトウェア)、産業別、地域別] ( Neural Network Software Market by Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical, and Region - Global Forecast to 2021 / MAM-TC-4923) 販売に関する免責事項
[ニューラルネットワークソフトウェアの世界市場予測(~2021):種類別(データマイニング&データアーカイブ、分析ソフトウェア、最適化ソフトウェア、可視化ソフトウェア)、産業別、地域別] ( Neural Network Software Market by Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical, and Region - Global Forecast to 2021 / MAM-TC-4923) についてEメールでお問い合わせ


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