Global Neural Network Software Market Share will Increase more than US$ 22.50 Billion by 2022

The Neural Network Software Market is segmented on the lines of its artificial component, type, vertical and regional. Based on artificial component segmentation it covers neural network software, services, platform and other enabling services. Based on type segmentation it covers data mining and archiving, analytical software, optimization software, visualization software. Based on vertical segmentation it covers BFSI, government and defense, energy and utilities, healthcare, industrial manufacturing, media, telecom and it, transportation and logistics, retail and ecommerce, others (Real Estate, Entertainment, Education and Academia and Computing System Providers). The Neural Network Software Marketon geographic segmentation covers various regions such as North America, Europe, Asia Pacific, Latin America, Middle East and Africa. Each geographic market is further segmented to provide market revenue for select countries such as the U.S., Canada, U.K. Germany, China, Japan, India, Brazil, and GCC countries.

The Neural Network Software Market is expected to exceed more than US$ 22.55 Billion by 2022 at a CAGR of 33.2% in the given forecast period.

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The major driving factors of Neural Network Software Market are as follows:
• Available of spatial data and analytical tools
• Increasing Use of Deep Neural Network in Iot
• Growing demand for predicting solutions

The restraining factors of Neural Network Software Market are as follows:
• Slowly digitization rate across emerging economies
• Absence of expertise and other operational challenges
• Difficulty in Training Multilayer Neural Networks
This report provides:

1) An overview of the global market for Neural Network Software Market and related technologies.
2) Analyses of global market trends, with data from 2013, estimates for 2014 and 2015, and projections of compound annual growth rates (CAGRs) through 2022.
3) Identifications of new market opportunities and targeted promotional plans for Neural Network Software Market.
4) Discussion of research and development, and the demand for new products and new applications.
5) Comprehensive company profiles of major players in the industry.

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The scope of the report includes a detailed study of global and regional markets on Neural Network Software Market with the reasons given for variations in the growth of the industry in certain regions.


Table of Contents
1 INTRODUCTION
2 Research Methodology
3 Executive Summary
4 Premium Insights
5 Market Overview
5.1 Introduction
5.2 Key Components of the Artificial Neural Network Architecture
5.3 Market Segmentation
5.3.1 By Neural Network Component
5.3.2 By Type
5.3.3 By Vertical
5.3.4 By Region
5.4 Market Dynamics
5.4.1 Drivers
5.4.1.1 Availability of Spatial Data and Analytical Tools
5.4.1.2 Increasing Demand for Predicting Solutions
5.4.2 Restraints
5.4.2.1 Slow Digitization Rate Across Emerging Economies
5.4.2.2 Lack of Expertise and Other Operational Challenges
5.4.3 Opportunities
5.4.3.1 Growing Innovations Across End-Use Verticals
5.4.3.2 Increasing Use of Deep Neural Network in Iot
5.4.4 Challenges
5.4.4.1 Difficulty in Training Multilayer Neural Networks
6 Industry Trends
7 Artificial Neural Network Market Analysis, By Component
8 Neural Network Software Market Analysis, By Type
9 Neural Network Software Market Analysis, By Vertical
10 Geographic Analysis
11 Competitive Landscape
12 Company Profiles
12.1 Google Inc.
12.2 International Business Machines Corporation
12.3 Microsoft Corporation
12.4 Oracle Corporation
12.5 Intel Corporation
12.6 Qualcomm Technologies, Inc.
12.7 SAP SE

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