人工ニューラルネットワークの世界市場予測:コンポーネント別、用途別、展開モード別、組織規模別

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1 Introduction (Page No. – 18)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. – 22)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Microquadrant Research Methodology
2.5.1 Vendor Inclusion Criteria
2.6 Assumptions for the Study
2.7 Limitations of the Study
3 Executive Summary (Page No. – 30)
4 Premium Insights (Page No. – 34)
4.1 Attractive Opportunities in the Artificial Neural Network Market
4.2 Market Share By Region
4.3 Market By Industry Vertical and Region
4.4 Best Market to Invest, By Region, 2019
5 Market Overview and Industry Trends (Page No. – 37)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Enhanced Processing Power, Learning Ability, and Speed of Neural Networks to Drive the Growth of the Market
5.2.1.2 Increasing Demand to Detect Complex Nonlinear Relationships Between Variables and Recognize Patterns in Big Data
5.2.1.3 Demand to Train Large Volumes of Data Sets With Low Supervision to Drive the Market
5.2.2 Restraints
5.2.2.1 Difficulty in Tracking the Outcomes of In-Process Stages
5.2.3 Opportunities
5.2.3.1 Increasing use of ANN in IoT and Data Analytics
5.2.4 Challenges
5.2.4.1 Extrapolation Issues in ANN Being a Drawback to the Market
5.3 Regulatory Implications
5.3.1 General Data Protection Regulation
5.3.2 Health Insurance Portability and Accountability Act
5.4 Expected Applications of ANN-Integrated Systems
5.4.1 Data Mining and Archiving
5.4.2 Analytical Software
5.4.3 Optimization Software
5.4.4 Visualization Software
5.5 Ecosystem of Artificial Neural Network
5.6 Types of Artificial Neural Network
5.6.1 Recurrent Neural Network
5.6.2 Convolutional Neural Network
5.6.3 Feedforward Neural Network
6 Artificial Neural Network Market By Component (Page No. – 44)
6.1 Introduction
6.2 Solution
6.2.1 Open-Source Software Solution to Drive the Adoption of Artificial Neural Network in Research, Forecasting/Prediction, and Visualizations Areas
6.3 Platform/Api
6.3.1 Availability of Flexible APIS to Drive the Adoption of Artificial Neural Network in Different Industries
6.4 Services
6.4.1 Managed Services
6.4.1.1 Increasing Need for Monitoring and Maintaining Tool Operations and Reducing Overhead Costs to Drive the Growth of Managed Services in the Market
6.4.2 Professional Services
6.4.2.1 Consulting
6.4.2.1.1 Technicalities Involved in Implementing Artificial Neural Network Tools and Services to Boost the Growth of Consulting Services
6.4.2.2 Deployment and Integration
6.4.2.2.1 Growing Need to Overcome System-Related Issues Effectively to Drive the Growth of Deployment and Integration Services
6.4.2.3 Support and Maintenance
6.4.2.3.1 Growing Deployment of Artificial Neural Network Software to Drive the Demand for Support and Maintenance Services
7 Artificial Neural Network Market By Application (Page No. – 53)
7.1 Introduction
7.2 Image Recognition
7.2.1 Rising Need for Efficient Techniques to Process and Categorize Objects in Variety of Fields to Drive the Growth of the Image Recognition Segment
7.3 Signal Recognition
7.3.1 Classification and Feature Extraction Algorithm to Fuel the Growth of the Signal Recognition Application in the Market
7.4 Data Mining
7.4.1 Demand for Predictive Analytics to Fuel the Growth of Data Mining Application in the Market
7.5 Others
8 Artificial Neural Network Market By Deployment Mode (Page No. – 59)
8.1 Introduction
8.2 Cloud
8.2.1 Cost-Effectiveness and Scalability of Cloud Deployment Mode to Boost the Growth of This Segment
8.3 On-Premises
8.3.1 Data-Sensitive Organizations Prefer the On-Premises Deployment Mode for Artificial Neural Network Software
9 Artificial Neural Network Market By Organization Size (Page No. – 63)
9.1 Introduction
9.2 Small and Medium-Sized Enterprises
9.2.1 Need for Viable Cloud-Based Cost-Effective Solutions to Drive the Adoption of Artificial Neural Network in Small and Medium-Sized Enterprises
9.3 Large Enterprises
9.3.1 Increasing Adoption of Advanced Technologies to Drive the Adoption of Artificial Neural Network in Large Enterprises
10 Artificial Neural Network Market By Industry Vertical (Page No. – 67)
10.1 Introduction
10.2 Banking, Financial Services and Insurance
10.2.1 Growing Focus on Financial Standards and Compliance With Regulations to Drive the Market
10.3 Retail and Ecommerce
10.3.1 Growing Demand to Identify Customer Behavior in Real Time to Fuel the Growth of the Retail and Ecommerce Industry Vertical
10.4 Telecommunications and It
10.4.1 Increasing Demand to Provide Improved Services for a Growing Customer Base to Boost the Adoption of the Market
10.5 Healthcare and Life Sciences
10.5.1 Growing Demand to Achieve Better Patient Experience and Personalized Treatment in Real Time to Fuel the Growth of the Healthcare and Life Sciences Industry Vertical
10.6 Manufacturing
10.6.1 Growing Need to Extend the Lifespan of Factory Equipment and Reduce the Risk of Production Delays to Fuel the Growth of the Artificial Neural Network Application in the Manufacturing Industry Vertical
10.7 Transportation and Logistics
10.7.1 Demand to Reduce Cost and Management of the Overall Supply Chain Flow to Drive the Growth of the Market
10.8 Government and Defense
10.8.1 Growing Demand for Enhanced Data Security and Advanced Intelligence to Drive the Market
10.9 Others
11 Artificial Neural Network Market By Region (Page No. – 77)
11.1 Introduction
11.2 North America
11.2.1 United States
11.2.1.1 Government’s Focus on Innovation and Research to Fuel the Adoption of Artificial Neural Network Software in the United States
11.2.2 Canada
11.2.2.1 Increase in Investments and Research Activities to Drive Artificial Neural Network Software and Services Adoption in Canada
11.3 Europe
11.3.1 United Kingdom
11.3.1.1 Government Focus on Innovation and Research to Fuel the Adoption of Artificial Neural Network Software in the United Kingdom
11.3.2 Germany
11.3.2.1 Growing Investments By Tech-Giants to Provide Opportunities for the Development of Artificial Neural Network Software
11.3.3 France
11.3.3.1 Focus on R&D and Heavy Inflow of Capital From Global Players and Investors to Drive the Artificial Neural Network Market Growth in France
11.3.4 Italy
11.3.4.1 Government Initiatives to Increase the Adoption of Artificial Neural Network in Manufacturing and Finance Sector to Help Market Growth
11.3.5 Spain
11.3.5.1 Government Smart City Initiatives Contributing to the Growth of the Market in Spain
11.3.6 Rest of Europe
11.4 Asia Pacific
11.4.1 China
11.4.1.1 Increasing Focus on Integrating Artificial Intelligence and Deep Learning Technologies to Drive the Adoption of Artificial Neural Network Software in China
11.4.2 Japan
11.4.2.1 Existing Market and Already Adopted Technology to Boost the Market in Japan
11.4.3 South Korea
11.4.3.1 Government Initiatives and Support Toward the Adoption of Artificial Intelligence to Drive the Market Growth
11.4.4 India
11.4.4.1 Advent of Neural Network Startups in India to Drive the Growth of the Market
11.4.5 Australia and New Zealand
11.4.5.1 Growth in Infrastructure Developments and the Adoption of Connected Devices to Drive the Market
11.4.6 Rest of Asia Pacific
11.5 Middle East and Africa
11.5.1 Middle East
11.5.1.1 Advanced Analytics Coupled With AI Adoption to Drive the Artificial Neural Network Market in the United Arab Emirates
11.5.2 Africa
11.5.2.1 Transformation in the Overall Infrastructure Industry to Boost the Adoption of Artificial Neural Network Tools in South Africa
11.6 Latin America
11.6.1 Brazil
11.6.1.1 Investments By Multinational Companies to Drive the Market Growth in Brazil
11.6.2 Mexico
11.6.2.1 Government Initiatives and Increasing Demand for Artificial Neural Network Software and Services to Trigger the Market Growth in Mexico
11.6.3 Rest of Latin America
12 Competitive Landscape (Page No. – 115)
12.1 Microquadrant Overview
12.1.1 Visionaries
12.1.2 Innovators
12.1.3 Dynamic Differentiators
12.1.4 Emerging Companies
12.2 Competitive Benchmarking
12.2.1 Business Strategy Excellence of Major Players in the Market
12.2.2 Strength of Solution Offerings of Major Players in the Market
12.3 Ranking of Players, 2019
13 Company Profiles (Page No. – 119)
(Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View)*
13.1 Introduction
13.2 Google
13.3 IBM
13.4 Microsoft
13.5 Oracle
13.6 Intel
13.7 Qualcomm
13.8 Alyuda
13.9 Ward Systems
13.10 GMDH, LLC
13.11 Starmind
13.12 Neuralware
13.13 Neurala
13.14 Clarifai
*Business Overview, Products Offered, Recent Developments, SWOT Analysis, MnM View Might Not be Captured in Case of Unlisted Companies.
14 Company Profiles (Page No. – 145)
14.1 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.2 Available Customizations
14.3 Related Reports
14.4 Author Details




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