Neural Network Software Market by Type (Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software), Vertical, and Region - Global Forecast to 2021
“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:
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.
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%
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.
1 INTRODUCTION
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 MARKETS COVERED
1.3.2 YEARS CONSIDERED FOR THE STUDY
1.3.3 CURRENCY
1.3.4 LIMITATIONS
1.4 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Data from primary sources
2.1.2.2 Key industry insights
2.1.2.3 Breakdown of primaries
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN & DATA TRIANGULATION
2.4 VENDOR DIVE MATRIX METHODOLOGY
2.5 RESEARCH ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE NEURAL NETWORK SOFTWARE MARKET
4.2 NEURAL NETWORK SOFTWARE MARKET: TOP END USERS
4.3 GLOBAL NEURAL NETWORK SOFTWARE MARKET, BY REGION AND END USER
4.4 LIFECYCLE ANALYSIS, BY REGION, 2016
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 KEY COMPONENTS OF THE ANN ARCHITECTURE
5.3 MARKET SEGMENTATION
5.3.1 BY NEURAL NETWORK COMPONENT
5.3.2 BY TYPE
5.3.3 BY VERTICAL
5.3.4 BY REGION
5.4 MARKET DYNAMICS
5.4.1 DRIVERS
5.4.1.1 Availability of spatial data and analytical tools
5.4.1.2 Increasing demand for predicting solutions
5.4.2 RESTRAINTS
5.4.2.1 Slow digitization rate across emerging economies
5.4.2.2 Lack of expertise and other operational challenges
5.4.3 OPPORTUNITIES
5.4.3.1 Growing innovation across end-user verticals
5.4.3.2 Increasing use of DNN in IoT
5.4.4 CHALLENGES
5.4.4.1 Difficulty in training multilayer neural networks
6 INDUSTRY TRENDS
6.1 INTRODUCTION
6.2 NEURAL NETWORK SOFTWARE: EVOLUTION
6.3 NEURAL NETWORK SOFTWARE: VALUE CHAIN ANALYSIS
6.4 ECOSYSTEM OF ANN
7 ANN MARKET ANALYSIS, BY COMPONENT
7.1 INTRODUCTION
7.2 NEURAL NETWORK SOFTWARE
7.3 SERVICES
7.4 PLATFORM & OTHER ENABLING SERVICES
8 NEURAL NETWORK SOFTWARE MARKET ANALYSIS, BY TYPE
8.1 INTRODUCTION
8.2 DATA MINING & ARCHIVING
8.3 ANALYTICAL SOFTWARE
8.4 OPTIMIZATION SOFTWARE
8.4.1 GENETIC ALGORITHM
8.4.2 SIMULATED ANNEALING
8.5 VISUALIZATION SOFTWARE
9 NEURAL NETWORK SOFTWARE MARKET ANALYSIS, BY VERTICAL
9.1 INTRODUCTION
9.2 BFSI
9.2.1 USE CASE
9.3 GOVERNMENT & DEFENSE
9.3.1 USE CASE
9.4 ENERGY & UTILITIES
9.4.1 USE CASE
9.5 HEALTHCARE
9.5.1 USE CASE
9.6 INDUSTRIAL MANUFACTURING
9.6.1 USE CASE
9.7 MEDIA
9.7.1 USE CASE
9.8 RETAIL & ECOMMERCE
9.8.1 USE CASE
9.9 TRANSPORTATION & LOGISTICS
9.9.1 USE CASE
9.10 TELECOM & IT
9.10.1 USE CASE
9.11 OTHERS
10 GEOGRAPHIC ANALYSIS
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 U.S.
10.2.2 CANADA
10.3 EUROPE
10.3.1 U.K.
10.3.2 GERMANY
10.3.3 RUSSIA
10.3.4 REST OF EUROPE
10.4 APAC
10.4.1 CHINA
10.4.2 AUSTRALIA
10.4.3 SOUTH KOREA
10.4.4 REST OF APAC
10.5 MEA
10.5.1 THE MIDDLE EAST
10.5.2 AFRICA
10.6 LATIN AMERICA
10.6.1 BRAZIL
10.6.2 MEXICO
10.6.3 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 VENDOR DIVE OVERVIEW
11.2 NEURAL NETWORK SOFTWARE: MNM DIVE – VENDOR COMPARISON
11.3 GROWTH STRATEGIES, 2014–2016
11.4 COMPETITIVE SITUATION AND TRENDS
11.4.1 AGREEMENTS, PARTNERSHIPS, & COLLABORATIONS
11.4.2 MERGERS & ACQUISITIONS
11.4.3 NEW PRODUCT LAUNCHES
11.5 MAJOR APPLICATION AREAS CATERED TO BY KEY INNOVATORS
11.6 GEOGRAPHIC FOOTPRINT OF KEY INNOVATORS
12 COMPANY PROFILES
(Business Overview, Solutions Offered, Recent Developments, MnM View)*
12.1 GOOGLE
12.2 IBM
12.3 MICROSOFT
12.4 ORACLE
12.5 INTEL
12.6 QUALCOMM
12.7 SAP
*Details on Bu Business Overview, Solutions Offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
13 KEY INNOVATORS
13.1 ALYUDA
13.1.1 BUSINESS OVERVIEW
13.1.2 SOLUTIONS OFFERED
13.1.3 MNM VIEW
13.1.3.1 Key strategies
13.2 NEURAL TECHNOLOGIES
13.2.1 BUSINESS OVERVIEW
13.2.2 SOLUTIONS OFFERED
13.2.3 RECENT DEVELOPMENTS
13.2.4 MNM VIEW
13.2.4.1 Key strategies
13.3 WARD SYSTEMS
13.3.1 BUSINESS OVERVIEW
13.3.2 SOLUTIONS OFFERED
13.3.3 RECENT DEVELOPMENTS
13.3.4 MNM VIEW
13.3.4.1 Key strategies
13.4 AFINITI
13.4.1 BUSINESS OVERVIEW
13.4.2 RECENT DEVELOPMENTS
13.4.3 MNM VIEW
13.4.3.1 Key strategies
13.5 GMDH
13.5.1 BUSINESS OVERVIEW
13.6 STARMIND
13.6.1 BUSINESS OVERVIEW
13.6.2 RECENT DEVELOPMENT
13.6.3 MNM VIEW
13.6.3.1 Key strategies
13.7 NEURALWARE
13.7.1 BUSINESS OVERVIEW
13.7.2 SOLUTIONS OFFERED
13.7.3 MNM VIEW
13.7.3.1 Key strategies
13.8 SLAGKRYSSAREN
13.8.1 BUSINESS OVERVIEW
13.9 AND CORPORATION
13.9.1 BUSINESS OVERVIEW
13.9.2 SOLUTIONS OFFERED
13.10 SWIFTKEY
13.10.1 BUSINESS OVERVIEW
13.10.2 RECENT DEVELOPMENTS
13.10.3 MNM VIEW
13.10.3.1 Key strategies
14 APPENDIX
14.1 INSIGHTS OF INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS
1.1 OBJECTIVES OF THE STUDY
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 MARKETS COVERED
1.3.2 YEARS CONSIDERED FOR THE STUDY
1.3.3 CURRENCY
1.3.4 LIMITATIONS
1.4 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Data from primary sources
2.1.2.2 Key industry insights
2.1.2.3 Breakdown of primaries
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.2 TOP-DOWN APPROACH
2.3 MARKET BREAKDOWN & DATA TRIANGULATION
2.4 VENDOR DIVE MATRIX METHODOLOGY
2.5 RESEARCH ASSUMPTIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES IN THE NEURAL NETWORK SOFTWARE MARKET
4.2 NEURAL NETWORK SOFTWARE MARKET: TOP END USERS
4.3 GLOBAL NEURAL NETWORK SOFTWARE MARKET, BY REGION AND END USER
4.4 LIFECYCLE ANALYSIS, BY REGION, 2016
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 KEY COMPONENTS OF THE ANN ARCHITECTURE
5.3 MARKET SEGMENTATION
5.3.1 BY NEURAL NETWORK COMPONENT
5.3.2 BY TYPE
5.3.3 BY VERTICAL
5.3.4 BY REGION
5.4 MARKET DYNAMICS
5.4.1 DRIVERS
5.4.1.1 Availability of spatial data and analytical tools
5.4.1.2 Increasing demand for predicting solutions
5.4.2 RESTRAINTS
5.4.2.1 Slow digitization rate across emerging economies
5.4.2.2 Lack of expertise and other operational challenges
5.4.3 OPPORTUNITIES
5.4.3.1 Growing innovation across end-user verticals
5.4.3.2 Increasing use of DNN in IoT
5.4.4 CHALLENGES
5.4.4.1 Difficulty in training multilayer neural networks
6 INDUSTRY TRENDS
6.1 INTRODUCTION
6.2 NEURAL NETWORK SOFTWARE: EVOLUTION
6.3 NEURAL NETWORK SOFTWARE: VALUE CHAIN ANALYSIS
6.4 ECOSYSTEM OF ANN
7 ANN MARKET ANALYSIS, BY COMPONENT
7.1 INTRODUCTION
7.2 NEURAL NETWORK SOFTWARE
7.3 SERVICES
7.4 PLATFORM & OTHER ENABLING SERVICES
8 NEURAL NETWORK SOFTWARE MARKET ANALYSIS, BY TYPE
8.1 INTRODUCTION
8.2 DATA MINING & ARCHIVING
8.3 ANALYTICAL SOFTWARE
8.4 OPTIMIZATION SOFTWARE
8.4.1 GENETIC ALGORITHM
8.4.2 SIMULATED ANNEALING
8.5 VISUALIZATION SOFTWARE
9 NEURAL NETWORK SOFTWARE MARKET ANALYSIS, BY VERTICAL
9.1 INTRODUCTION
9.2 BFSI
9.2.1 USE CASE
9.3 GOVERNMENT & DEFENSE
9.3.1 USE CASE
9.4 ENERGY & UTILITIES
9.4.1 USE CASE
9.5 HEALTHCARE
9.5.1 USE CASE
9.6 INDUSTRIAL MANUFACTURING
9.6.1 USE CASE
9.7 MEDIA
9.7.1 USE CASE
9.8 RETAIL & ECOMMERCE
9.8.1 USE CASE
9.9 TRANSPORTATION & LOGISTICS
9.9.1 USE CASE
9.10 TELECOM & IT
9.10.1 USE CASE
9.11 OTHERS
10 GEOGRAPHIC ANALYSIS
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 U.S.
10.2.2 CANADA
10.3 EUROPE
10.3.1 U.K.
10.3.2 GERMANY
10.3.3 RUSSIA
10.3.4 REST OF EUROPE
10.4 APAC
10.4.1 CHINA
10.4.2 AUSTRALIA
10.4.3 SOUTH KOREA
10.4.4 REST OF APAC
10.5 MEA
10.5.1 THE MIDDLE EAST
10.5.2 AFRICA
10.6 LATIN AMERICA
10.6.1 BRAZIL
10.6.2 MEXICO
10.6.3 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 VENDOR DIVE OVERVIEW
11.2 NEURAL NETWORK SOFTWARE: MNM DIVE – VENDOR COMPARISON
11.3 GROWTH STRATEGIES, 2014–2016
11.4 COMPETITIVE SITUATION AND TRENDS
11.4.1 AGREEMENTS, PARTNERSHIPS, & COLLABORATIONS
11.4.2 MERGERS & ACQUISITIONS
11.4.3 NEW PRODUCT LAUNCHES
11.5 MAJOR APPLICATION AREAS CATERED TO BY KEY INNOVATORS
11.6 GEOGRAPHIC FOOTPRINT OF KEY INNOVATORS
12 COMPANY PROFILES
(Business Overview, Solutions Offered, Recent Developments, MnM View)*
12.1 GOOGLE
12.2 IBM
12.3 MICROSOFT
12.4 ORACLE
12.5 INTEL
12.6 QUALCOMM
12.7 SAP
*Details on Bu Business Overview, Solutions Offered, Recent Developments, MnM View might not be captured in case of unlisted companies.
13 KEY INNOVATORS
13.1 ALYUDA
13.1.1 BUSINESS OVERVIEW
13.1.2 SOLUTIONS OFFERED
13.1.3 MNM VIEW
13.1.3.1 Key strategies
13.2 NEURAL TECHNOLOGIES
13.2.1 BUSINESS OVERVIEW
13.2.2 SOLUTIONS OFFERED
13.2.3 RECENT DEVELOPMENTS
13.2.4 MNM VIEW
13.2.4.1 Key strategies
13.3 WARD SYSTEMS
13.3.1 BUSINESS OVERVIEW
13.3.2 SOLUTIONS OFFERED
13.3.3 RECENT DEVELOPMENTS
13.3.4 MNM VIEW
13.3.4.1 Key strategies
13.4 AFINITI
13.4.1 BUSINESS OVERVIEW
13.4.2 RECENT DEVELOPMENTS
13.4.3 MNM VIEW
13.4.3.1 Key strategies
13.5 GMDH
13.5.1 BUSINESS OVERVIEW
13.6 STARMIND
13.6.1 BUSINESS OVERVIEW
13.6.2 RECENT DEVELOPMENT
13.6.3 MNM VIEW
13.6.3.1 Key strategies
13.7 NEURALWARE
13.7.1 BUSINESS OVERVIEW
13.7.2 SOLUTIONS OFFERED
13.7.3 MNM VIEW
13.7.3.1 Key strategies
13.8 SLAGKRYSSAREN
13.8.1 BUSINESS OVERVIEW
13.9 AND CORPORATION
13.9.1 BUSINESS OVERVIEW
13.9.2 SOLUTIONS OFFERED
13.10 SWIFTKEY
13.10.1 BUSINESS OVERVIEW
13.10.2 RECENT DEVELOPMENTS
13.10.3 MNM VIEW
13.10.3.1 Key strategies
14 APPENDIX
14.1 INSIGHTS OF INDUSTRY EXPERTS
14.2 DISCUSSION GUIDE
14.3 KNOWLEDGE STORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.4 INTRODUCING RT: REAL-TIME MARKET INTELLIGENCE
14.5 RELATED REPORTS
14.6 AUTHOR DETAILS
LIST OF TABLES
Table 1 GLOBAL ANN MARKET SIZE, BY COMPONENT, 2014–2021 (USD BILLION)
Table 2 GLOBAL ANN MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 3 GLOBAL NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 4 ANN MARKET SIZE, BY COMPONENT, 2014–2021 (USD BILLION)
Table 5 ANN MARKET SIZE, BY REGION, 2014–2021 (USD BILLION)
Table 6 NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 7 NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 8 DATA MINING & ARCHIVING: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 9 DATA MINING & ARCHIVING: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 10 ANALYTICAL SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 11 ANALYTICAL SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 12 OPTIMIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 13 OPTIMIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 14 VISUALIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 15 VISUALIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 16 NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 17 ANN MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 18 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 19 NORTH AMERICA: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL 2014–2021 (USD MILLION)
Table 20 NORTH AMERICA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 21 NORTH AMERICA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 22 NORTH AMERICA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 23 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 24 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 25 U.S.: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 26 CANADA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 27 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 28 EUROPE: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 29 EUROPE: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 30 EUROPE: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 31 EUROPE: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 32 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 33 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 34 U.K.: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 35 GERMANY: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 36 RUSSIA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 37 REST OF EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 38 APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 39 APAC: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 40 APAC: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 41 APAC: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 42 APAC: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 43 APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 44 APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 45 CHINA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 46 AUSTRALIA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 47 SOUTH KOREA: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL, 2014–2021 (USD MILLION)
Table 48 REST OF APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 49 MEA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 50 MEA: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 51 MEA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 52 MEA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 53 MEA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 54 MEA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 55 MEA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY SUB-REGION, 2014–2021 (USD MILLION)
Table 56 MIDDLE EAST: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL, 2014–2021 (USD MILLION)
Table 57 AFRICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 58 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 59 LATIN AMERICA: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 60 LATIN AMERICA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 61 LATIN AMERICA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 62 LATIN AMERICA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 63 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 64 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 65 BRAZIL: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL, 2014–2021 (USD MILLION)
Table 66 MEXICO: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 67 REST OF LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 68 AGREEMENTS, PARTNERSHIPS, & COLLABORATIONS, 2014–2021
Table 69 MERGERS & ACQUISITIONS, 2014–2016
Table 70 NEW PRODUCT LAUNCHES, 20152016
Table 71 NEURAL NETWORK SOFTWARE MAPPED TO MAJOR APPLICATION AREAS
Table 72 NEURAL NETWORK SOFTWARE VENDORS MAPPED TO MAJOR GEOGRAPHIC REGIONS
Table 1 GLOBAL ANN MARKET SIZE, BY COMPONENT, 2014–2021 (USD BILLION)
Table 2 GLOBAL ANN MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 3 GLOBAL NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 4 ANN MARKET SIZE, BY COMPONENT, 2014–2021 (USD BILLION)
Table 5 ANN MARKET SIZE, BY REGION, 2014–2021 (USD BILLION)
Table 6 NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 7 NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 8 DATA MINING & ARCHIVING: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 9 DATA MINING & ARCHIVING: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 10 ANALYTICAL SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 11 ANALYTICAL SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 12 OPTIMIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 13 OPTIMIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 14 VISUALIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 15 VISUALIZATION SOFTWARE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 16 NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 17 ANN MARKET SIZE, BY REGION, 2014–2021 (USD MILLION)
Table 18 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 19 NORTH AMERICA: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL 2014–2021 (USD MILLION)
Table 20 NORTH AMERICA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 21 NORTH AMERICA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 22 NORTH AMERICA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 23 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 24 NORTH AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 25 U.S.: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 26 CANADA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 27 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 28 EUROPE: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 29 EUROPE: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 30 EUROPE: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 31 EUROPE: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 32 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 33 EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 34 U.K.: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 35 GERMANY: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 36 RUSSIA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 37 REST OF EUROPE: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 38 APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 39 APAC: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 40 APAC: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 41 APAC: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 42 APAC: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 43 APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 44 APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 45 CHINA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 46 AUSTRALIA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 47 SOUTH KOREA: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL, 2014–2021 (USD MILLION)
Table 48 REST OF APAC: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 49 MEA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 50 MEA: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 51 MEA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 52 MEA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 53 MEA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 54 MEA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 55 MEA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY SUB-REGION, 2014–2021 (USD MILLION)
Table 56 MIDDLE EAST: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL, 2014–2021 (USD MILLION)
Table 57 AFRICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 58 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY TYPE, 2014–2021 (USD MILLION)
Table 59 LATIN AMERICA: DATA MINING & ARCHIVING SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 60 LATIN AMERICA: ANALYTICAL SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 61 LATIN AMERICA: OPTIMIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 62 LATIN AMERICA: VISUALIZATION SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 63 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 64 LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY COUNTRY, 2014–2021 (USD MILLION)
Table 65 BRAZIL: NEURAL NETWORK SOFTWARE MARKET SIZE BY VERTICAL, 2014–2021 (USD MILLION)
Table 66 MEXICO: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 67 REST OF LATIN AMERICA: NEURAL NETWORK SOFTWARE MARKET SIZE, BY VERTICAL, 2014–2021 (USD MILLION)
Table 68 AGREEMENTS, PARTNERSHIPS, & COLLABORATIONS, 2014–2021
Table 69 MERGERS & ACQUISITIONS, 2014–2016
Table 70 NEW PRODUCT LAUNCHES, 20152016
Table 71 NEURAL NETWORK SOFTWARE MAPPED TO MAJOR APPLICATION AREAS
Table 72 NEURAL NETWORK SOFTWARE VENDORS MAPPED TO MAJOR GEOGRAPHIC REGIONS
LIST OF FIGURES
Figure 1 MARKETS COVERED
Figure 2 GLOBAL NEURAL NETWORK SOFTWARE MARKET: RESEARCH DESIGN
Figure 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 5 MARKET BREAKDOWN & DATA TRIANGULATION
Figure 6 ANN MARKET SNAPSHOT (2016 VS. 2021): BY ANN COMPONENT
Figure 7 NEURAL NETWORK SOFTWARE MARKET SNAPSHOT (2016 VS. 2021): BY SOFTWARE TYPE
Figure 8 MEA IS EXPECTED TO WITNESS HIGHEST GROWTH FROM 2016 TO 2021
Figure 9 GROWING NUMBER OF UNCLUSTERED ENTERPRISE DATA IS EXPECTED TO BE A MAJOR DRIVER FOR THE NEURAL NETWORK SOFTWARE MARKET IN THE FORECAST PERIOD
Figure 10 INDUSTRIAL MANUFACTURING AND TRANSPORTATION & LOGISTICS SECTORS ARE EXPECTED TO RECORD THE HIGHEST GROWTH RATES IN NEURAL NETWORK SOFTWARE MARKET DURING THE FORECAST PERIOD 2016–2021
Figure 11 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE NEURAL NETWORK SOFTWARE MARKET
Figure 12 REGIONAL LIFECYCLE: APAC IS EXPECTED TO HAVE BEEN IN THE GROWTH PHASE IN 2015
Figure 13 ANN ARCHITECTURE
Figure 14 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY COMPONENT
Figure 15 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY TYPE
Figure 16 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY VERTICAL
Figure 17 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY REGION
Figure 18 NEURAL NETWORK SOFTWARE: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 19 NEURAL NETWORK SOFTWARE EVOLUTION FROM 1950 TO 2015
Figure 20 VALUE CHAIN ANALYSIS
Figure 21 NEURAL NETWORK SOFTWARE ECOSYSTEM
Figure 22 NEURAL NETWORK SOFTWARE IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN THE ANN ECOSYSTEM
Figure 23 DATA MINING & ARCHIVING IS EXPECTED TO WITNESS THE HIGHEST GROWTH RATE IN THE NEURAL NETWORK SOFTWARE MARKET FROM 2016 TO 2021
Figure 24 GROWTH TRENDS FOR ALL NEURAL NETWORK SOFTWARE TYPES DURING 2016–2021
Figure 25 BFSI SECTOR IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE NEURAL NETWORK SOFTWARE MARKET DURING THE FORECAST PERIOD.
Figure 26 NEURAL NETWORK SOFTWARE MARKET IN MEA IS EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2016 TO 2021
Figure 27 NORTH AMERICA 2016 MARKET SNAPSHOT
Figure 28 MEA MARKET SNAPSHOT
Figure 29 BUSINESS STRATEGY ANALYSIS
Figure 30 PRODUCT OFFERING ANALYSIS
Figure 31 COMPANIES ADOPTED NEW PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGY FROM 2014 TO 2016
Figure 32 MERGERS & ACQUISITIONS ARE EXPECTED TO BE THE MAJOR MODE OF DEVELOPMENT FOR NEURAL NETWORK SOFTWARE MARKET
Figure 33 MERGERS & ACQUISITIONS HAVE BEEN THE KEY GROWTH STRATEGY FOR COMPANIES DURING THE PERIOD 2014 TO 2016
Figure 34 GEOGRAPHIC REVENUE MIX OF THE TOP FIVE MARKET COMPANIES
Figure 35 GOOGLE: COMPANY SNAPSHOT
Figure 36 GOOGLE: SWOT ANALYSIS
Figure 37 IBM: COMPANY SNAPSHOT
Figure 38 IBM: SWOT ANALYSIS
Figure 39 MICROSOFT: COMPANY SNAPSHOT
Figure 40 MICROSOFT: SWOT ANALYSIS
Figure 41 ORACLE: COMPANY SNAPSHOT
Figure 42 ORACLE: SWOT ANALYSIS
Figure 43 INTEL: COMPANY SNAPSHOT
Figure 44 INTEL: SWOT ANALYSIS
Figure 45 QUALCOMM: COMPANY SNAPSHOT
Figure 46 SAP: COMPANY SNAPSHOT
Figure 47 SAP: SWOT ANALYSIS
Figure 1 MARKETS COVERED
Figure 2 GLOBAL NEURAL NETWORK SOFTWARE MARKET: RESEARCH DESIGN
Figure 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
Figure 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
Figure 5 MARKET BREAKDOWN & DATA TRIANGULATION
Figure 6 ANN MARKET SNAPSHOT (2016 VS. 2021): BY ANN COMPONENT
Figure 7 NEURAL NETWORK SOFTWARE MARKET SNAPSHOT (2016 VS. 2021): BY SOFTWARE TYPE
Figure 8 MEA IS EXPECTED TO WITNESS HIGHEST GROWTH FROM 2016 TO 2021
Figure 9 GROWING NUMBER OF UNCLUSTERED ENTERPRISE DATA IS EXPECTED TO BE A MAJOR DRIVER FOR THE NEURAL NETWORK SOFTWARE MARKET IN THE FORECAST PERIOD
Figure 10 INDUSTRIAL MANUFACTURING AND TRANSPORTATION & LOGISTICS SECTORS ARE EXPECTED TO RECORD THE HIGHEST GROWTH RATES IN NEURAL NETWORK SOFTWARE MARKET DURING THE FORECAST PERIOD 2016–2021
Figure 11 NORTH AMERICA IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE NEURAL NETWORK SOFTWARE MARKET
Figure 12 REGIONAL LIFECYCLE: APAC IS EXPECTED TO HAVE BEEN IN THE GROWTH PHASE IN 2015
Figure 13 ANN ARCHITECTURE
Figure 14 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY COMPONENT
Figure 15 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY TYPE
Figure 16 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY VERTICAL
Figure 17 NEURAL NETWORK SOFTWARE MARKET SEGMENTATION: BY REGION
Figure 18 NEURAL NETWORK SOFTWARE: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
Figure 19 NEURAL NETWORK SOFTWARE EVOLUTION FROM 1950 TO 2015
Figure 20 VALUE CHAIN ANALYSIS
Figure 21 NEURAL NETWORK SOFTWARE ECOSYSTEM
Figure 22 NEURAL NETWORK SOFTWARE IS EXPECTED TO GROW AT THE HIGHEST CAGR DURING THE FORECAST PERIOD IN THE ANN ECOSYSTEM
Figure 23 DATA MINING & ARCHIVING IS EXPECTED TO WITNESS THE HIGHEST GROWTH RATE IN THE NEURAL NETWORK SOFTWARE MARKET FROM 2016 TO 2021
Figure 24 GROWTH TRENDS FOR ALL NEURAL NETWORK SOFTWARE TYPES DURING 2016–2021
Figure 25 BFSI SECTOR IS EXPECTED TO HOLD THE LARGEST MARKET SHARE IN THE NEURAL NETWORK SOFTWARE MARKET DURING THE FORECAST PERIOD.
Figure 26 NEURAL NETWORK SOFTWARE MARKET IN MEA IS EXPECTED TO GROW AT THE HIGHEST CAGR FROM 2016 TO 2021
Figure 27 NORTH AMERICA 2016 MARKET SNAPSHOT
Figure 28 MEA MARKET SNAPSHOT
Figure 29 BUSINESS STRATEGY ANALYSIS
Figure 30 PRODUCT OFFERING ANALYSIS
Figure 31 COMPANIES ADOPTED NEW PRODUCT LAUNCHES AS THE KEY GROWTH STRATEGY FROM 2014 TO 2016
Figure 32 MERGERS & ACQUISITIONS ARE EXPECTED TO BE THE MAJOR MODE OF DEVELOPMENT FOR NEURAL NETWORK SOFTWARE MARKET
Figure 33 MERGERS & ACQUISITIONS HAVE BEEN THE KEY GROWTH STRATEGY FOR COMPANIES DURING THE PERIOD 2014 TO 2016
Figure 34 GEOGRAPHIC REVENUE MIX OF THE TOP FIVE MARKET COMPANIES
Figure 35 GOOGLE: COMPANY SNAPSHOT
Figure 36 GOOGLE: SWOT ANALYSIS
Figure 37 IBM: COMPANY SNAPSHOT
Figure 38 IBM: SWOT ANALYSIS
Figure 39 MICROSOFT: COMPANY SNAPSHOT
Figure 40 MICROSOFT: SWOT ANALYSIS
Figure 41 ORACLE: COMPANY SNAPSHOT
Figure 42 ORACLE: SWOT ANALYSIS
Figure 43 INTEL: COMPANY SNAPSHOT
Figure 44 INTEL: SWOT ANALYSIS
Figure 45 QUALCOMM: COMPANY SNAPSHOT
Figure 46 SAP: COMPANY SNAPSHOT
Figure 47 SAP: SWOT ANALYSIS
