Global Neural Network Software Market – Industry Trends and Forecast to 2024

  • Information and Communication Technology
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  • Global
  • 350 Pages
  • No of Tables: 60
  • No of Figures: 220
Global Neural Network Software Market, By Geography; Type (Data Mining & Archiving, Analytical Software, Optimization Software, Visualization Software); Vertical (BFSI, Government & Defense, Energy & Utilities, Healthcare, Industrial Manufacturing, Media, Retail & Ecommerce, Transportation & Logistics, Telecom & IT) - Industry Trends and Forecast to 2024 The Global Neural Network Software Market accounted for USD 7.44 billion in 2016 growing at a CAGR of 34.1% during the forecast period of 2017 to 2024. The upcoming market report contains data for historic year 2014, 2015, the base year of calculation is 2016 and the forecast period is 2017 to 2024.

Market Definition: Global Neural Network Software Market

In information technology, the neural network software is the combination of hardware and software patterned after the neurons similar to the neurons of a human brain. Neural networks are also stated as artificial neural network having a variety of deep learning technologies. It is widely applicable in   BFSI, government & defense, energy & utilities, healthcare, industrial manufacturing, media, retail & ecommerce, transportation & logistics, telecom & IT, and others. Availability of spatial data and analytical tools may act as the major driver in the growth of neural network software market. On the other side, lack of expertise and other operational challenges may hamper the market.

Major market drivers & restraints: Global Neural Network Software Market

  • Availability of spatial data and analytical tools
  • Increasing demand for predicting solutions growing inclination toward cost-efficient managed services
  • Slow digitization rate across emerging economies
  • Lack of expertise and other operational challenges

Market Segmentation: Global Neural Network Software Market

The global neural network software market is segmented on the basis of type into data mining & archiving, analytical software, optimization software, visualization software. On the basis of vertical, the global neural network software market is segmented into BFSI, government & defense, energy & utilities, healthcare, industrial manufacturing, media, retail & ecommerce, transportation & logistics, telecom & IT, and others. On the basis of geography, the global neural network software market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific, and Middle East & Africa. Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others. In 2017, North America is expected to dominate the market.

Company Share Analysis: Global Neural Network Software Market

The report for neural network software market include detailed vendor level analysis for market shares in 2016 for Global, North America, Europe, Asia Pacific, Middle East and Africa and South America specifically. Also impact and development analysis of key vendors is registered in the market and factored on the basis of Vendor Positioning Grid Analysis which measures the vendors strengths and opportunities against present market challenges, measure providers ability to identify or satisfy present market needs, map providers market vision to current and upcoming market dynamics among others. The report also measures technology life line curve and market time line to analyze and do more affective investments.

Major Market Competitors: Global Neural Network Software Market

Some of the major players of the global neural network software market are Google Inc., IBM Corporation, Microsoft Corporation, Oracle, Intel, SAP SE, Afiniti, Alyuda Research, LLC, GMDH LLC., Google Inc., Neural Technologies Limited, Neuralware, Qualcomm Technologies, Inc., Slagkryssaren AB, Starmind, TouchType Ltd, Ward Systems Group, Inc. and others.

Research Methodology: Global Neural Network Software Market

Data collection and base year analysis is done using data collection modules with large sample sizes. The market data is analyzed and forecasted using market statistical and coherent models. Also market share analysis and key trend analysis are the major success factors in the market report. To know more please Request an Analyst Call or can drop down your inquiry. Some of the key research methodologies used by DBMR Research team is Vendor Positioning Grid, Technology Life Line Curve, Market Time Line Analysis, Market Overview and Guide, Company Positioning Grid, Company Market Share Analysis, Multivariate Modeling, Standards of Measurement, Top to Bottom Analysis and Vendor Share Analysis. To know more about of research skills drop an inquiry to speak to our industry experts.

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