Neural network software market is currently driven by growth in demand for predictive solutions, increasing adoption of big data analytics and various technological advancements. Predictive solutions are witnessing traction, with an increasing demand from end-use industries such as BFSI, health care, energy & utilities, and media.

Exponential increase in the volume of data, increasing digitization, stringent regulations, and financial losses due to the rise in fraudulent practices are some fundamental factors responsible for rising demand for predictive solutions.

Enormous adoption of wireless connectivity technologies such as 3G and 4G in developing regions and tremendous efforts made by developed countries to rollout 5G in the coming years is expected to have strong influence on market growth over the forecast period.  Furthermore, cost and difficulty of collecting and storing data has reduced due to the use of big data analytics.

Management and interpretation of enormous data is much easier with the help of big data resulting in its substantial adoption of bog data technologies. In 2016, the global neural network software market was valued at US$4,026.6 mn and is expected to reach US$26,021.1 mn by the end of 2025, expanding at a CAGR of 22.9% during the forecast period from 2017 to 2025.

Asia Pacific neural network software market. Gulf Cooperation Council (GCC) countries including Saudi Arabia and United Arab Emirates (UAE) and South Africa are the highest revenue generating regions from MEA. South American Neural Network Software market is driven by rising investment in the region by market players. Brazil is the highest revenue contributing country to the neural network software market from the region.

The company profiling of key players profiled in the global neural network software market includes company overview, major business strategies adopted, SWOT analysis and market revenues for year 2014 to 2016.

The key players profiled in the global neural network software market includes Microsoft Corporation, SAP SE, Oracle Corporation, IBM Corporation, Google Inc., Intel Corporation, QUALCOMM Incorporated, Afiniti, Alyuda Research, LLC. and Neural Technologies Limited.

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