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Global Neural Network Software Market2019-2026: Analyzed by Business Growth, Development Factors, Application and Future Prospects of Industry Trends and Forecast to 2026

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 2019 to 2026. 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 are as follows:

  • 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

 

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Key Market Competitors: Neural Network Software Market

Few of the major competitors 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. 

This Neural Network Software Market research report makes available state-of-the-art information about the entire market along with the holistic view of the market. This Neural Network Software Market research report displays a complete overview of the market, including myriad of aspects such as product definition, segmentation based on various parameters, and the existing vendor landscape. The report describes estimations about key players and brands in the market with respect to their actions such as developments, product launches, acquisitions, merges, joint ventures and competitive research.

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Market Segmentation:  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.

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Company Analysis:

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.

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