【レポートの概要（一部）】
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
【レポート販売概要】
■ タイトル：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■ 英文：Neural Network Software Market by Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical, and Region - Global Forecast to 2021
■ 発行日：2017年1月17日
■ 調査会社：MarketsandMarkets
■ 商品コード：MAM-TC-4923
■ 調査対象地域：グローバル
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