A neural network is a framework of hardware and software patterned after the operation of neurons in the human brain.Neural network software is used to simulate, research, develop, and apply artificial neural networks, software thoughts adapted from biological neural networks, and, in some cases, a wider array of adaptive systems for instance artificial intelligence and machine learning. Neuro Intelligence is a neural networks software application design to help neural network, data mining, pattern recognition, and predictive modeling professionals in answering real-world problems. It’s features only proven neural network modeling algorithms and neural net techniques, software is fast and easy-to-use. The Neural Networks application helps you utilized this technology by capitalizing on the computational power and flexibility of Mathematica. It gives professionals and students the tools to train, visualize, and validate neural network models.
How Big is the Global Neural Network Software Market?
The Neural Network Software Market is expected to be around US$ 93.5 Billion by 2027 at a CAGR of 33% in the given forecast period.
The major driving factors of Neural Network Software Market are as follows:
The restraining factors of Neural Network Software Market are as follows:
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.
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 2019, estimates for 2020 and 2021, and projections of compound annual growth rates (CAGRs) through 2027.
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.
REPORT SCOPE:
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.
The report covers detailed competitive outlook including the market share and company profiles of the key participants operating in the global market. Key players profiled in the report include the key innovators concentrating mainly on neural network software include Alyuda Research LLC (California, U.S.), Neural Technologies Ltd. (England, U.K.), Ward Systems Group Inc. (Maryland U.S.), Afiniti (Washington DC, U.S.), GMDH LLC (New York, U.S.), Starmind International AG (Küsnacht, Switzerland), Neuralware (Pennsylvania, U.S.), Slagkryssaren AB (Stockholm, Sweden), AND Corporation (Ontario, Canada), and Swiftkey (London, U.K.).The prominent players in the artificial neural network ecosystem are Google Inc. (California, U.S.), IBM Corporation (New York, U.S.), Microsoft Corporation (Washington DC, U.S.), Intel Corporation (California, U.S.), Oracle Corporation (California, U.S.), SAP SE (Waldorf, Germany), and Qualcomm Technologies Inc. (California, U.S.). Company profile includes assign such as company summary, financial summary, business strategy and planning, SWOT analysis and current developments.
The Top Companies Report is intended to provide our buyers with a snapshot of the industry’s most influential players.
The Neural Network Software Market has been segmented as below:
By Artificial Component Analysis:
By Type Analysis:
By Vertical Analysis:
Reasons to Buy this Report:
1) Obtain the most up to date information available on all Neural Network Software Market.
2) Identify growth segments and opportunities in the industry.
3) Facilitate decision making on the basis of strong historic and forecast of Neural Network Software Market data.
4) Assess your competitor’s refining portfolio and its evolution.
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1 INTRODUCTION
1.1 Key Take Aways
1.2 Report Description
1.3 Markets Covered
1.4 Stakeholders
1.5 Research Methodology
1.5.1 Market Size
1.5.2 Market Share
1.5.3 Key Data Points From Secondary Sources
1.5.4 Key Data Points From Primary Sources
2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Vendor Dive Matrix Methodology
2.5 Research Assumptions
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in the Market
4.2 Neural Network Software Market: Top End Users
4.3 Global Market By Region and End User
4.4 Lifecycle Analysis, By Region, 2015
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
6.1 Introduction
6.2 Neural Network Software: Evolution
6.3 Neural Network Software: Value Chain Analysis
6.4 Ecosystem of Artificial Neural Network
7 Artificial Neural Network Market Analysis, By Component
7.1 Introduction
7.2 Neural Network Software
7.3 Services
7.4 Platform and Other Enabling Services
8 Neural Network Software Market Analysis, By Type
8.1 Introduction
8.2 Data Mining and Archiving
8.3 Analytical Software
8.4 Optimization Software
8.4.1 Genetic Algorithm
8.4.2 Simulated Annealing
8.5 Visualization Software
9 Neural Network Software Market Analysis, By Vertical
9.1 Introduction
9.2 Banking, Financial Services, and Insurance
9.2.1 Use Case
9.3 Government and Defense
9.3.1 Use Case
9.4 Energy and Utilities
9.4.1 Use Case
9.5 Healthcare
9.5.1 Use Case
9.6 Industrial Manufacturing
9.6.1 Use Case
9.7 Media
9.7.1 Use Case
9.8 Retail and Ecommerce
9.8.1 Use Case
9.9 Transportation and Logistics
9.9.1 Use Case
9.10 Telecom and IT
9.10.1 Use Case
9.11 Others
10 Geographic Analysis
10.1 Introduction
10.2 North America
10.2.1 United States (U.S.)
10.2.2 Canada
10.3 Europe
10.3.1 United Kingdom (U.K.)
10.3.2 Germany
10.3.3 Russia
10.3.4 Rest of Europe
10.4 Asia-Pacific
10.4.1 China
10.4.2 Australia
10.4.3 South Korea
10.4.4 Rest of Asia-Pacific
10.5 Middle East and Africa
10.5.1 Middle East
10.5.2 Africa
10.6 Latin America
10.6.1 Brazil
10.6.2 Mexico
10.6.3 Rest of Latin America
11 Competitive Landscape
11.1 Vendor Dive Overview
11.2 Neural Network Software: MnM Dive – Vendor Comparison
11.3 Growth Strategies, 2014–2016
11.4 Competitive Situation and Trends
11.4.1 Agreements, Partnerships, and Collaborations
11.4.2 Mergers and Acquisitions
11.4.3 New Product Launches
11.5 Major Application Areas Catered By the Key Innovators
11.6 Geographic Footprint for Key Innovators
12 Company Profiles
12.1 Google Inc.
12.2 Qualcomm Technologies, Inc.
12.3 SAP SE
12.4 Oracle Corporation
12.5 Intel Corporation
12.6 Microsoft Corporation
12.7 International Business Machines Corporation
The Neural Network Software Market has been segmented as below:
By Artificial Component Analysis:
By Type Analysis:
By Vertical Analysis:
By Regional Analysis:
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