Neural network software market is expected to grow at a moderate rate during the forecast period 2019-2025. Neural network software is a network system which mimics the operations of the human brain through codes and systematic instructions. The system is based on computer technology being used for simulation of brain circuitry which provides an artificial neural network. The system enables to prepare analytical and predictive models in which results are derived from historical data. The global neural network software market is being propelled by various factors which include the availability of improvised analytical and prediction tools, growing demand for business analysis by cloud-based technologies, and ample data for analysis and improvements. However, factors such as lack of skilled workforce and the high cost of R&D for neural network software are some of the major challenges of the global neural network software market. Further, technology integration in business in emerging economies of the globe is estimated to offer ample opportunities for the market players.

Additionally, increasing demand of business analysis and intelligence from various sectors such as BFSI, telecommunication, healthcare, logistics, transportation, and others is one of the significant factors contributing towards considerable growth of the global neural network software market. Due to increasing business complexities and technological integration in various end-use industries, the need for automatic operations is growing, therefore, augmenting the market value for the global neural network software market.

The global neural network software market is segmented on the basis of type and end-user. On the basis of type, the global neural network software market is further diversified into data mining software, visualization software, optimization software, and analytical software. Due to growing activities of mining data by various businesses, data mining software segment is estimated to exhibit considerable rate during the forecast period. Further, the market on the basis of end-user is segmented into telecom and IT, BFSI, government and defense, and others. Among these, telecom & IT segment is estimated to hold the major market share in the global neural network software market. in addition, BFSI is estimated to grow with a significant rate during the forecast period. In the geographic overview, the global neural network software market is analyzed into North America, Europe, Asia-Pacific and Rest of the World. North America is estimated to hold a significant share in the market due to the presence of major market players in the US and Canada. Additionally, established IT industry in the region is contributing to its dominance.

Some of the market players present in the global neural network software market, that are involved in developing and catering analysis services and products for end-use industries includes Neural Technologies Ltd., IBM Corp., Google, LLC, Artificial Intelligence Techniques Ltd., Microsoft Corp., Intel Corp., Alyuda Research, LLC, Neurala, Inc., NVIDIA Corp., Oracle Corp., SAP SE, and many others.

Research Methodology

The market study of the global neural network software market is incorporated by extensive primary and secondary research conducted by a research team at OMR.  Secondary research has been conducted to refine the available data to break down the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. Our team collects facts and data related to the market from different geography to provide a better regional outlook. In the report, the country-level analysis is provided by analyzing various regional players, regional tax laws and policies, consumer behavior and macroeconomic factors. Numbers extracted from Secondary research have been authenticated by conducting primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings the authenticity of our reports.

Secondary Sources Include

• Financial reports of companies involved in the market
  
• Whitepapers, research-papers and news blogs
• Company websites and their product catalog.

The report is intended for software companies, business consultancy service organizations, logistics and transportation companies, BFSI organizations, research organizations, companies working on advanced technology, investment companies, government organizations for overall market analysis and competitive analysis. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.

Market Segmentation

Global neural network software Market Research and Analysis by Type

Global neural network software Market Research and Analysis by End-User

The Report Covers

• Comprehensive research methodology of the global neural network software
  
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Analysis of regional regulations and other government policies impacting the global neural network software market.
• Insights about market determinants which are stimulating the global neural network software market.
• Detailed and extensive market segments with regional distribution of forecast revenues.
• Extensive profiles and recent developments of market players.