Neural Network Software applies neural networks by stimulating research and development, and software concepts adapted from biological neural networks and apply artificial and in some cases, a wider array of adaptive systems such as artificial intelligence and machine learning. The high magnitude of volume of data created every minute, stringent regulations, increasing digitization, and financial losses due to the rise in fraudulent practices are some fundamental factors responsible for rising demand for the market.
The global neural network software market size was valued at USD XX million in 2018 and is expected to grow at a CAGR of XX%, with the market expected to reach a valuation of up to USD XX million by 2026.
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The global neural network software market is significantly concentrated due to the presence of few key vendors and several prominent vendors operating competitively. Increasing adoption of big data analytics and various technological advancements are the primary drivers of the global neural network software market. Ggrowth in demand for predictive solutions are witnessing significant upward trend, with an increasing demand from end-use industries such as BFSI, health care, energy & utilities, and media.
The global neural network software market consists of primary palyer which includes Alyuda Research, LLC., Intel Corporation, SAP SE, Microsoft Corporation, IBM Corporation, Oracle Corporation, Google Inc., QUALCOMM Incorporated, Afiniti, and Neural Technologies Limited among other.
Global Neural Network Software Market Key Segments:
On the Basis of Industry Vertical:
Government & Utilities
Oil & Gas
Telecom and IT
Retail & E-commerce
On the Basis of Software Type:
Data Mining and Archiving
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Neural Network Software market is segmented based on Software Type, Industry vertical and geography. On the the basis of software type, the market has been divided into analytical software, data mining and archiving, optimization software and visualization software. Neural Network Software Module by region segmented into North America, Europe, Latin America, Asia-Pacific and Middle East & Africa.
Table of Content (TOC):
Chapter 1 Introduction and Overview
Chapter 2 Industry Cost Structure and Economic Impact
Chapter 3 Rising Trends and New Technologies with Major key players
Chapter 4 Global Neural Network Software Market Analysis, Trends, Growth Factor
Chapter 5 Neural Network Software Market Application and Business with Potential Analysis
Chapter 6 Global Neural Network Software Market Segment, Type, Application
Chapter 7 Global Neural Network Software Market Analysis (by Application, Type, End User)
Chapter 8 Major Key Vendors Analysis of Neural Network Software Market
Chapter 9 Development Trend of Analysis
Chapter 10 Conclusion
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