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MarketsandMarkets

Neural Network Software Market - Global Forecast to 2021

$5,650.00

Report Published By: MarketsandMarkets
Publication Date : Jan-17
No. Of Pages: 150

“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

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