The scope of this report is applications of neural network software. The Neural Network Software are developed by a number of software firms, like Google Inc., Qualcomm Technologies, and Intel Corporation, among others. North America is the major region for the Neural Network Software Market. There is an increasing demand for neural network software due to their applications and capabilities.
Increasing demand to Tackle Problems in various fields
Neural Networks are increasingly used for problem tackling and solving. The ability of neural networks to analyze and detect anomalies and avoid future problems has created high demand from various industries, like Healthcare, Defense, BFSI, and Logistics, among others. Large data cannot be easily interpreted and understood by specifically designed software. Neural Networks have the ability to shape their way around the data and predict the patterns and trends in it. This makes them a sought-after software in the market. Sophisticated prediction capabilities for any given data set and the ability to do so at a lower cost is another major reason for the soaring popularity of neural network software. BFSI and Logistics are some of the most important industries where neural networking software are use. Banking institutions use prediction software to determine the future trends in the stocks and bonds. Neural networks can efficiently and reliably predict these trends. Logistics and Defense industries need the ability for quick and accurate determination of alternative strategies and routes for transportation and delivery. A combination of all these capabilities in the neural networks makes them the center of future software applications.
Image Optimization is a Major Application Focus for Neural Network
Over the years, Neural Networks have achieved state of art performance in computer vision problems. Neural networks can be pre-trained on different data sets to boost their image classification, optimization and compression capabilities. With the pre-training it is possible for neural networks to add new layers and work with large number of constraints, which enhances their capabilities. Astronomy is one of the major field with high applications for image optimization and compression. The images obtained from space are compressed and optimized to be viewed over the digital screens. Similarly, images are from different formats and large sizes are compressed without deteriorating the quality. This is only possible with the use of advanced Neural Networks Software.
North America is the Largest Region
North America is the largest region for the development for Neural Networks market. Increasing infrastructure and Research and development has boosted the demand of Neural Networks software for applications in problem recognition, forecasting, and formulation. US is the most technologically advances country in this region with increasing market for industries, like BFSI, Defense, Healthcare, and Logistics, among others. Europe is second market where the demand for Neural Networks is emerging with new research and growing trend of automation and IoT.
Key Developments in the Market
- March 2018 : Google publishes new research into how neural networks 'think’. Google, in the recent research papers, published how the neural networks work. The research helps Google understand deeply the different layers through which neural networks are build and how the data is transferred between these layers. Furthermore, this will help develop better understanding about the abilities and working of neural networks.
Reasons to Purchase this Report
- Analyzing the advancements in Neural Network Software Market scenario
- Analyzing various perspectives of the market with the help of Porter’s five forces analysis
- Identifying the type of service and end-user is expected to dominate the market
- Identifying the regions that are expected to witness the fastest growth during the forecast period
- Identifying the latest developments, market shares, and strategies employed by the major market players
- 3-month analyst support, along with the Market Estimate sheet (in Excel)
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1.1 Key Deliverables of the Study
1.2 Study Assumptions
1.3 Market Definition
1.4 Key Findings of the Study
2. Research Approach and Methodology
3. Executive Summary
4. Market Dynamics
4.1 Market Overview
4.2 Factors Driving the Market
4.2.1 Increasing demand to Tackle Problems in various fields
4.2.2 Image Optimization is a Major Application Focus for Neural Network
4.3 Factors Restraining the Market
4.3.1 High Cost of Research and Development in Neural Networks
4.4 Industry Attractiveness - Porter's Five Forces Analysis
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Consumers
4.4.3 Threat of New Entrants
4.4.4 Threat of Substitute Products or Services
4.4.5 Competitive Rivalry among Existing Competitors
5. Neural Network Software Market Segmentation
5.1 By Type
5.1.2 Data Mining
5.2 By Application
5.2.1 Fraud Detection
5.2.2 Machine Diagnostics
5.2.3 Portfolio Management
5.2.4 Financial Forecasting
5.2.5 Process Modeling
5.3 By End-users
5.3.1 Government Instututes
5.3.2 Defence Agencies
5.4 By Region
5.4.1 North America
220.127.116.11 Rest of Europe
18.104.22.168 Rest of Asia-Pacific
5.4.4 Latin America
22.214.171.124 Rest of Latin America
5.4.5 Middle East & Africa
126.96.36.199 South Africa
188.8.131.52 Saudi Arabia
184.108.40.206 Rest of Middle East & Africa
6. Competitive Intelligence - Company Profiles
6.1 Google Inc.
6.2 NVIDIA Corporation
6.3 HP Development Company, L.P.
6.4 International Business Machines Corp.
6.5 SAP SE
6.6 Intel Corporation
6.7 Microsoft Corporation
6.8 DeepMind Technologies Limited
6.9 Qualcomm Technologies
*List not Exhaustive
7. Investment Analysis
8. Future Outlook of Neural Network Software Market