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Global Artificial Neural Network Software Market Growth (Status and Outlook) 2019-2024

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Table of Contents

    2018-2023 Global Artificial Neural Network Software Market Report (Status and Outlook)

      1 Scope of the Report

      • 1.1 Market Introduction
      • 1.2 Research Objectives
      • 1.3 Years Considered
      • 1.4 Market Research Methodology
      • 1.5 Economic Indicators
      • 1.6 Currency Considered

      2 Executive Summary

      • 2.1 World Market Overview
        • 2.1.1 Global Artificial Neural Network Software Market Size 2013-2023
        • 2.1.2 Artificial Neural Network Software Market Size CAGR by Region
      • 2.2 Artificial Neural Network Software Segment by Type
        • 2.2.1 On-Premises
        • 2.2.2 Cloud Based
      • 2.3 Artificial Neural Network Software Market Size by Type
        • 2.3.1 Global Artificial Neural Network Software Market Size Market Share by Type (2013-2018)
        • 2.3.2 Global Artificial Neural Network Software Market Size Growth Rate by Type (2013-2018)
      • 2.4 Artificial Neural Network Software Segment by Application
        • 2.4.1 Large Enterprised
        • 2.4.2 SMEs
      • 2.5 Artificial Neural Network Software Market Size by Application
        • 2.5.1 Global Artificial Neural Network Software Market Size Market Share by Application (2013-2018)
        • 2.5.2 Global Artificial Neural Network Software Market Size Growth Rate by Application (2013-2018)

      3 Global Artificial Neural Network Software by Players

      • 3.1 Global Artificial Neural Network Software Market Size Market Share by Players
        • 3.1.1 Global Artificial Neural Network Software Market Size by Players (2016-2018)
        • 3.1.2 Global Artificial Neural Network Software Market Size Market Share by Players (2016-2018)
      • 3.2 Global Artificial Neural Network Software Key Players Head office and Products Offered
      • 3.3 Market Concentration Rate Analysis
        • 3.3.1 Competition Landscape Analysis
        • 3.3.2 Concentration Ratio (CR3, CR5 and CR10) (2016-2018)
      • 3.4 New Products and Potential Entrants
      • 3.5 Mergers & Acquisitions, Expansion

      4 Artificial Neural Network Software by Regions

      • 4.1 Artificial Neural Network Software Market Size by Regions
      • 4.2 Americas Artificial Neural Network Software Market Size Growth
      • 4.3 APAC Artificial Neural Network Software Market Size Growth
      • 4.4 Europe Artificial Neural Network Software Market Size Growth
      • 4.5 Middle East & Africa Artificial Neural Network Software Market Size Growth

      5 Americas

      • 5.1 Americas Artificial Neural Network Software Market Size by Countries
      • 5.2 Americas Artificial Neural Network Software Market Size by Type
      • 5.3 Americas Artificial Neural Network Software Market Size by Application
      • 5.4 United States
      • 5.5 Canada
      • 5.6 Mexico
      • 5.7 Key Economic Indicators of Few Americas Countries

      6 APAC

      • 6.1 APAC Artificial Neural Network Software Market Size by Countries
      • 6.2 APAC Artificial Neural Network Software Market Size by Type
      • 6.3 APAC Artificial Neural Network Software Market Size by Application
      • 6.4 China
      • 6.5 Japan
      • 6.6 Korea
      • 6.7 Southeast Asia
      • 6.8 India
      • 6.9 Australia
      • 6.10 Key Economic Indicators of Few APAC Countries

      7 Europe

      • 7.1 Europe Artificial Neural Network Software by Countries
      • 7.2 Europe Artificial Neural Network Software Market Size by Type
      • 7.3 Europe Artificial Neural Network Software Market Size by Application
      • 7.4 Germany
      • 7.5 France
      • 7.6 UK
      • 7.7 Italy
      • 7.8 Russia
      • 7.9 Spain
      • 7.10 Key Economic Indicators of Few Europe Countries

      8 Middle East & Africa

      • 8.1 Middle East & Africa Artificial Neural Network Software by Countries
      • 8.2 Middle East & Africa Artificial Neural Network Software Market Size by Type
      • 8.3 Middle East & Africa Artificial Neural Network Software Market Size by Application
      • 8.4 Egypt
      • 8.5 South Africa
      • 8.6 Israel
      • 8.7 Turkey
      • 8.8 GCC Countries

      9 Market Drivers, Challenges and Trends

      • 9.1 Market Drivers and Impact
        • 9.1.1 Growing Demand from Key Regions
        • 9.1.2 Growing Demand from Key Applications and Potential Industries
      • 9.2 Market Challenges and Impact
      • 9.3 Market Trends

      10 Global Artificial Neural Network Software Market Forecast

      • 10.1 Global Artificial Neural Network Software Market Size Forecast (2018-2023)
      • 10.2 Global Artificial Neural Network Software Forecast by Regions
        • 10.2.1 Global Artificial Neural Network Software Forecast by Regions (2018-2023)
        • 10.2.2 Americas Market Forecast
        • 10.2.3 APAC Market Forecast
        • 10.2.4 Europe Market Forecast
        • 10.2.5 Middle East & Africa Market Forecast
      • 10.3 Americas Forecast by Countries
        • 10.3.1 United States Market Forecast
        • 10.3.2 Canada Market Forecast
        • 10.3.3 Mexico Market Forecast
        • 10.3.4 Brazil Market Forecast
      • 10.4 APAC Forecast by Countries
        • 10.4.1 China Market Forecast
        • 10.4.2 Japan Market Forecast
        • 10.4.3 Korea Market Forecast
        • 10.4.4 Southeast Asia Market Forecast
        • 10.4.5 India Market Forecast
        • 10.4.6 Australia Market Forecast
      • 10.5 Europe Forecast by Countries
        • 10.5.1 Germany Market Forecast
        • 10.5.2 France Market Forecast
        • 10.5.3 UK Market Forecast
        • 10.5.4 Italy Market Forecast
        • 10.5.5 Russia Market Forecast
        • 10.5.6 Spain Market Forecast
      • 10.6 Middle East & Africa Forecast by Countries
        • 10.6.1 Egypt Market Forecast
        • 10.6.2 South Africa Market Forecast
        • 10.6.3 Israel Market Forecast
        • 10.6.4 Turkey Market Forecast
        • 10.6.5 GCC Countries Market Forecast
      • 10.7 Global Artificial Neural Network Software Forecast by Type
      • 10.8 Global Artificial Neural Network Software Forecast by Application

      11 Key Players Analysis

      • 11.1 GMDH
        • 11.1.1 Company Details
        • 11.1.2 Artificial Neural Network Software Product Offered
        • 11.1.3 GMDH Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.1.4 Main Business Overview
        • 11.1.5 GMDH News
      • 11.2 Artificial Intelligence Techniques
        • 11.2.1 Company Details
        • 11.2.2 Artificial Neural Network Software Product Offered
        • 11.2.3 Artificial Intelligence Techniques Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.2.4 Main Business Overview
        • 11.2.5 Artificial Intelligence Techniques News
      • 11.3 Oracle
        • 11.3.1 Company Details
        • 11.3.2 Artificial Neural Network Software Product Offered
        • 11.3.3 Oracle Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.3.4 Main Business Overview
        • 11.3.5 Oracle News
      • 11.4 IBM
        • 11.4.1 Company Details
        • 11.4.2 Artificial Neural Network Software Product Offered
        • 11.4.3 IBM Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.4.4 Main Business Overview
        • 11.4.5 IBM News
      • 11.5 Microsoft
        • 11.5.1 Company Details
        • 11.5.2 Artificial Neural Network Software Product Offered
        • 11.5.3 Microsoft Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.5.4 Main Business Overview
        • 11.5.5 Microsoft News
      • 11.6 Intel
        • 11.6.1 Company Details
        • 11.6.2 Artificial Neural Network Software Product Offered
        • 11.6.3 Intel Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.6.4 Main Business Overview
        • 11.6.5 Intel News
      • 11.7 AWS
        • 11.7.1 Company Details
        • 11.7.2 Artificial Neural Network Software Product Offered
        • 11.7.3 AWS Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.7.4 Main Business Overview
        • 11.7.5 AWS News
      • 11.8 NVIDIA
        • 11.8.1 Company Details
        • 11.8.2 Artificial Neural Network Software Product Offered
        • 11.8.3 NVIDIA Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.8.4 Main Business Overview
        • 11.8.5 NVIDIA News
      • 11.9 TFLearn
        • 11.9.1 Company Details
        • 11.9.2 Artificial Neural Network Software Product Offered
        • 11.9.3 TFLearn Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.9.4 Main Business Overview
        • 11.9.5 TFLearn News
      • 11.10 Keras
        • 11.10.1 Company Details
        • 11.10.2 Artificial Neural Network Software Product Offered
        • 11.10.3 Keras Artificial Neural Network Software Revenue, Gross Margin and Market Share (2016-2018)
        • 11.10.4 Main Business Overview
        • 11.10.5 Keras News

      12 Research Findings and Conclusion

      An artificial neural network is a biologically inspired computational model that is patterned after the network of neurons present in the human brain. Artificial neural networks can also be thought of as learning algorithms that model the input-output relationship.

      According to this study, over the next five years the Artificial Neural Network Software market will register a xx% CAGR in terms of revenue, the global market size will reach US$ xx million by 2024, from US$ xx million in 2017. In particular, this report presents the global revenue market share of key companies in Artificial Neural Network Software business, shared in Chapter 3.

      This report presents a comprehensive overview, market shares and growth opportunities of Artificial Neural Network Software market by product type, application, key companies and key regions.

      This study considers the Artificial Neural Network Software value generated from the sales of the following segments:

      Segmentation by product type: breakdown data from 2013 to 2018, in Section 2.3; and forecast to 2024 in section 10.7.
      On-Premises
      Cloud Based
      Segmentation by application: breakdown data from 2013 to 2018, in Section 2.4; and forecast to 2024 in section 10.8.
      Large Enterprised
      SMEs

      This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
      Americas
      United States
      Canada
      Mexico
      Brazil
      APAC
      China
      Japan
      Korea
      Southeast Asia
      India
      Australia
      Europe
      Germany
      France
      UK
      Italy
      Russia
      Spain
      Middle East & Africa
      Egypt
      South Africa
      Israel
      Turkey
      GCC Countries

      The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
      GMDH
      Artificial Intelligence Techniques
      Oracle
      IBM
      Microsoft
      Intel
      AWS
      NVIDIA
      TFLearn
      Keras

      In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

      Research objectives
      To study and analyze the global Artificial Neural Network Software market size by key regions/countries, product type and application, history data from 2013 to 2017, and forecast to 2024.
      To understand the structure of Artificial Neural Network Software market by identifying its various subsegments.
      Focuses on the key global Artificial Neural Network Software players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
      To analyze the Artificial Neural Network Software with respect to individual growth trends, future prospects, and their contribution to the total market.
      To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
      To project the size of Artificial Neural Network Software submarkets, with respect to key regions (along with their respective key countries).
      To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
      To strategically profile the key players and comprehensively analyze their growth strategies.

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