Neural Network Market Shows Strong Growth to $38,719 million and Highest CAGR of 28.0% by 2023 with Leading Players SwiftKey, Afiniti, GMDH Streamline, NeuroDimension, Inc.

The Global Neural Network Market was valued at $7,039 million in 2016, and is projected to reach $38,719 million by 2023, growing at a CAGR of 28.0% from 2017 to 2023. Neural Network Market incorporates a comprehensive range of practices, tools, solutions, and techniques interrelated closely to a system of hardware and software, which is based on the functionalities of human brain through a variety of deep learning technologies to solve complex pattern recognition or signal processing problems. This system uses neural net and deep learning to deliver improved analytical output while optimizing profits for varied business processes. Applications of neural network include weather prediction, handwriting recognition, oil-exploration data analysis, facial recognition, and speech-to-text transcription, and others.

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The major manufacturers covered in this report:

• Neural Technologies Limited
• SwiftKey
• Starmind International AG
• Afiniti
• Ward Systems Group, Inc.
• GMDH LLC.
• NeuroDimension, Inc.
• NeuralWare
• Alyuda Research, LLC.
• OLSOFT LLC.

Researchers conducting the research also carry out a comprehensive analysis of the recent amendments in the government regulation and their impact on the competitive landscape of the industry. The research assesses the recent progress in the competitive landscape including collaborations, joint ventures, product launches, acquisitions, and mergers, as well as investments in the sector for research and development.

By Component
• Software
• Services

By End-use Industry
• Aerospace & Defense
• Banking, Financial Services, and Insurance (BFSI)
• Public Sector
• Retail
• Healthcare
• IT & Telecom
• Energy & Utilities
• Manufacturing
• Others

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The report profiles the key players in the industry along with a detailed analysis of their individual positions against the global landscape. The researcher provides an extensive analysis of the Neural Network market size, share, trends, overall earnings, gross revenue, and profit margin to accurately draw a forecast and provide expert insights to investors to keep them updated with the trends in the market.

Segment Overview

The global neural network market is segmented based on component, end-use industry, and region. Based on component, it is classified into software and services. The end-use industry segment includes banking, financial services & insurance (BFSI); public sector; energy & utilities; retail; IT & telecom; manufacturing; aerospace & defense; healthcare; and others. On the basis of region, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

Scope of the study:
• The report conducts a detailed analysis of the evolving market dynamics
• It gives a holistic view of various drivers and restraints operating in the market
• The forecast spans 6 years and predicts the prospective progress of the sector
• It categorizes the prominent product segments and their future growth scenario
• The market insights derived after a thorough investigation of the industrial segments and sub segments enable readers make informed decisions.

Key points from Table of Content:

1 Neural Network Market Overview
2 Company Profiles

3 Market Competition, by Players
3.1 Global Neural Network Revenue and Share by Players
3.2 Market Concentration Rate
3.2.1 Top 5 Neural Network Players Market Share
3.2.2 Top 10 Neural Network Players Market Share
3.3 Market Competition Trend
4 Market Size by Regions
.
.
10 Market Size Segment by Type
10.1 Global Neural Network Revenue and Market Share by Type
10.2 Global Neural Network Market Forecast by Type
10.3 On-Premise Revenue Growth Rate
10.4 Cloud-Based Revenue Growth Rate

11 Global Neural Network Market Segment by Application
11.1 Global Neural Network Revenue Market Share by Application
11.2 Neural Network Market Forecast by Application
11.3 Small and Medium Enterprises Revenue Growth
11.4 Large Enterprises Revenue Growth

13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
14.3 Disclaimer
14.4 About US

To Continue…..

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