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Published Date: 2017-12-06Number of Pages: 237

Neural Network Software Market (Software Type – Data Mining and Archiving, Analytical Software, Optimization Software, and Visualization Software; Industry Verticals – BFSI, Government & Utilities, Healthcare, Oil & Gas, Manufacturing, Telecom and IT, and Retail & E-commerce) – Global Industry Analysis, Size, Share, Growth, Trends and Forecast 2017 - 2025

Global Neural Network Software Market: Snapshot

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.

global neural network software market

Spike in Unorganized Data Boosts Demand for Data Mining and Archiving Software

The global neural network software market has been segmented on the basis of software type, industry vertical and region. On the basis of software type, the market has been divided into data mining and archiving, analytical software, optimization software and visualization software. In terms of revenue share, the market is dominated by analytical software segment, nonetheless, data mining and archiving software segment is projected to witness highest CAGR growth over the forecast period. Huge growth of unorganized and spatial data and need to classify this data to execute analytical and predictive operations is the primary reason for data mining and archiving software segment growth. 

In terms of industry vertical, the market has been segmented into BFSI, government & utilities, healthcare, oil & gas, manufacturing, telecom and IT, retail & e-commerce and others. Owing to the rising use of neural network software solutions to monitor and track the risk of various transactions done by customers in banking, BFSI industry is expected to witness significant growth rate over the forecast period. Furthermore, rising adoption of solutions in retail & e-commerce industry especially from Asian countries, is projected to be major contributor to the substantial CAGR of 22.9% for neural network software market. Expected growth of organized retail in coming years especially from Chinese and Indian economies is key factor for the rising adoption rate of neural network software solutions by retail & e-commerce players in Asia Pacific.

Automotive Industry in North America Fuels Demand for Neural Network Software Solutions in the Region

In 2016, North America held highest revenue share of global neural network software market with the U.S contributing the maximum revenue and it is expected that the region will show significant growth over the forecast period. Presence of numerous market players and demand for solutions from automotive industry especially from the U.S., is expected to drive the growth of regional market. In Europe, highest revenue contributing countries includes the U.K., France and Germany. The high adoption rate across the countries namely China, India and Japan in the region is expected to drive the

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.

Global Neural Network Software Market: Overview

The “Neural Network Software Market (Software Type – Data Mining and Archiving, Analytical Software, Optimization Software, Visualization Software; Industry Verticals – BFSI, Government & Utilities, Healthcare, Oil & Gas, Manufacturing, Telecom and IT, Retail & E-commerce, Others) – Global Industry Analysis, Size, Share, Growth, Trends and Forecast, 2017 - 2025”, report provides analysis of the neural network software market for the period 2015–2025, wherein the years from 2017 to 2025 is the forecast period and 2016 is considered as the base year. Data for 2015 has been included as historical information. The report covers all the major trends and technologies playing a major role in the neural network software market growth over the forecast period. It highlights the drivers, restraints and opportunities expected to influence the market growth during this period. The study provides a holistic perspective on the market’s growth in terms of revenue (in US$ Mn) across different geographical regions, namely North America, Europe, Asia Pacific, Middle East & Africa and South America. Report highlights the key trends affecting the market on a global scale. Furthermore, region wise prominent countries/regions covered in the report includes - the U.S, Canada, Germany, France, the U.K., India, China, Japan, GCC, South Africa and Brazil.

The market overview section of the report showcases the market dynamics and trends which includes drivers, restraints, opportunities that influence the current nature and future status of this market. It also provides an overview about the key market indicators given across the five geographical regions. Under the porter’s five forces analysis section, a brief analysis of the level of competition within the neural network software industry is given and business strategy is provided in order to determine the competitive attractiveness and intensity of the neural network software market. The report also includes key industry developments covering significant advances made by leading market players over the period of time.

Global Neural Network Software Market: Competitive landscape

The report provides competitive landscape of the neural network software market, thereby listing out all the major players according to their geographic presence, market attractiveness and recent key developments. The competitive landscape section of the report gives an overview about the market share of several key players for the year 2016. The neural network software market data estimates are the result of our in-depth secondary research, primary interviews and in-house expert panel reviews. These market estimates have been analyzed by taking into account the impact of different political, social, economic, technological, and legal factors along with the current market dynamics affecting the market growth. Factors including market position, offerings and R&D focus are attributed to company’s capabilities. This section also identifies and includes various recent developments carried out by the leading players. Moreover, key takeaways section provided at the end of competitive landscape section would help the operating companies to make the best move in the market.

Microsoft Corporation, SAP SE, Oracle Corporation, IBM Corporation, Google Inc., Intel Corporation, QUALCOMM Incorporated, Afiniti, Alyuda Research, LLC. and Neural Technologies Limited are few of the key players which have been profiled in this study. Details such as financials, business strategies, SWOT analysis, and other such strategic information pertaining to these players has been duly provided as part of company profiling.

Market Segmentation: Neural network software Market

On the basis of software type, the market has been divided into data mining and archiving, analytical software, optimization software, visualization software. Owing to growth of unorganized and spatial data and need to classify this data to execute analytical and predictive operations, data mining and archiving segment is expected to show significant CAGR over the forecast period. In terms of industry vertical, the market has been segmented into BFSI, government & utilities, healthcare, oil & gas, manufacturing, telecom and IT, retail & e-commerce and others.

The Neural Network Software market has been segmented as below:

Global Neural Network Software Market, By Software Type

  • Data Mining and Archiving 
  • Analytical Software
  • Optimization Software
  • Visualization Software

Global Neural Network Software Market, By Industry vertical

  • BFSI 
  • Government & Utilities
  • Healthcare
  • Oil & Gas
  • Manufacturing
  • Telecom and IT
  • Retail & E-commerce
  • Others

Global Neural Network Software Market, By Geography

  • North America
    • The U.S.
    • Canada
    • Rest of North America
  • Europe
    • U.K.
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • Rest of Asia Pacific
  • Middle East and Africa (MEA)
    • GCC
    • South Africa
    • Rest of Middle East and Africa
  • South America
    • Brazil
    • Rest of South America


 
 
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