Neural Network Software Market 2017 Trend, Analysis and Forecast to 2021

Neural network software is used in researching, stimulating, developing, and applying artificial neural networks (ANN) to several arrays of adaptive systems such as artificial intelligence (AI) and machine learning. Neural network simulators are software applications used in simulating the behavior of artificial or biological neural networks.

Publisher's analysts forecast the global neural network software market to grow at a CAGR of 25.59% during the period 2017-2021.

For more information about this report: http://www.reportsweb.com/global-neural-network-software-market-2017-2021 .

Covered in this report
The report covers the present scenario and the growth prospects of the global neural network software market for 2017-2021. To calculate the market size, the report considers the revenue generated from the sales of neural network software.

The market is divided into the following segments based on geography:
- Americas
- APAC
- EMEA

Publisher's report, Global Neural Network Software Market 2017-2021, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
- Hewlett Packard Enterprise Development
- IBM
- Intel
- Microsoft
- Qualcomm Technologies

Request Sample Copy at http://www.reportsweb.com/inquiry&RW0001859359/sample .

Other prominent vendors
- Alyuda Research
- Deep Instinct
- Cloudera
- Cognisess
- Enlitic
- GUMGUM
- Hu:toma Artificial Intelligence
- MulticoreWare
- Neurala
- NeuroDimension
- Palisade
- Wave Computing
- Ward Systems Group
- XENON Systems
- XILINX

Market driver
- Rising demand for prediction tools
- For a full, detailed list, view our report

Market challenge
- Increasing availability of open-source neural network software
- For a full, detailed list, view our report

Market trend
- Increasing emergence of neural networks in different sectors
- For a full, detailed list, view our report

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