ディープラーニング（深層学習）の世界市場予測（～2022）： 画像認識、信号認識、データマイニング...市場調査レポートについてご紹介

1 Introduction (Page No. – 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Study Scope
1.3.1 Markets Covered
1.3.2 Years Considered for the Study
1.4 Currency
1.5 Limitations
1.6 Stakeholders

2 Research Methodology (Page No. – 20)
2.1 Introduction
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key 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 Research Assumptions

3 Executive Summary (Page No. – 28)

4 Premium Insights (Page No. – 32)
4.1 Attractive Opportunities in the Deep Learning Market, 2013–2022 (USD Million)
4.2 Deep Learning Market, By Application
4.3 Deep Learning Market, By Region
4.4 Aerospace & Defense End-User Industry Dominated the Deep Learning Market in 2015
4.5 North America Held the Largest Share of the Deep Learning Market in 2015
4.6 Deep Learning Market, By Offering

5 Market Overview (Page No. – 37)
5.1 Introduction
5.2 Market Segmentation
5.2.1 Deep Learning Market, By Application
5.2.2 Deep Learning Market, By Offering
5.2.3 Deep Learning Market, By End-User Industry
5.2.4 Deep Learning Market, By Geography
5.3 Market Dynamics
5.3.1 Drivers
5.3.1.1 Growing Usage of Deep Learning Technology Across Various Industrial Verticals Such as Advertisement, Finance, and Automotive
5.3.1.2 Robust R&D for the Development of Better Processing Hardware for Deep Learning
5.3.1.3 Deep Learning Usage in Big Data Analytics
5.3.1.4 Increasing Adoption of Cloud-Based Technology for Deep Learning
5.3.2 Restraints
5.3.2.1 Increasing Complexity in Hardware Due to Complex Algorithm Used in the Deep Learning Technology
5.3.3 Opportunities
5.3.3.1 Usage of Deep Learning for Medical Image Analysis
5.3.3.2 Use of Deep Learning Technology in Smartphones
5.3.4 Challenges
5.3.4.1 Delay in Acceptance of Neuromorphic Technology for Deep Learning
5.3.4.2 Algorithms of Deep Learning are Evolving at A Faster Pace Compared to Its Hardware

6 Industry Trends (Page No. – 46)
6.1 Introduction
6.2 Value Chain Analysis
6.3 Industry Developments
6.4 Porter’s Five Forces Analysis
6.4.1 Industry Rivarly
6.4.2 Threat of Substitutes
6.4.3 Threat of New Entrants
6.4.4 Bargaining Power of Suppliers
6.4.5 Bargaining Power of Buyers

7 Deep Learning Market, By Application (Page No. – 55)
7.1 Introduction
7.2 Image Recognition
7.2.1 Machine Vision
7.2.2 Medical & Satellite Imaging
7.2.3 Security/Video Surveillance
7.2.4 Smart Motion
7.2.5 Robotics
7.3 Signal Recognition
7.3.1 Speech Recognition
7.3.2 Voice Identification
7.3.3 Others (Radar/Sonar, EEG/EKG/ECG, Vibration Monitoring)
7.4 Data Mining
7.4.1 Sentiment Analysis
7.4.2 Machine Translation
7.4.3 Fingerprint Identification
7.4.4 Cyber Security
7.4.5 Bioinformatics
7.5 Others
7.5.1 Recommender System
7.5.2 Drug Discovery

8 Deep Learning Market, By Offering (Page No. – 75)
8.1 Introduction
8.2 Deep Learning Market, By Hardware
8.2.1 Neuromorphic Architecture-Based Chips
8.2.2 Von Neumann Architecture-Based Chips
8.3 Deep Learning Market, By Software

9 Deep Learning Market, By End-User Industry (Page No. – 81)
9.1 Introduction
9.2 Aerospace & Defense
9.3 IT & Telecom
9.4 Medical
9.5 Automotive
9.6 Industrial
9.7 Media & Advertising
9.8 Finance
9.9 Retail
9.10 Oil, Gas, & Energy
9.11 Other End-User Industries (Agriculture, Education, Law)

10 Geographic Analysis (Page No. – 110)
10.1 Introduction
10.2 North America
10.2.1 U.S.
10.2.2 Canada
10.2.3 Mexico
10.3 Europe
10.3.1 U.K.
10.3.2 Germany
10.3.3 France
10.3.4 Rest of Europe
10.4 Asia-Pacific
10.4.1 China
10.4.2 Japan
10.4.3 South Korea
10.4.4 India
10.4.5 Rest of APAC
10.5 Rest of the World

11 Competitive Landscape (Page No. – 126)
11.1 Overview
11.2 Market Ranking Analysis: Deep Learning Market, 2015
11.3 Competitive Situations and Trends
11.3.1 New Product Launches and Developments
11.3.2 Partnerships and Collaborations
11.3.3 Acquisitions

12 Company Profiles (Page No. – 134)
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
12.1 Introduction
12.3 Google Inc.
12.4 IBM Corporation
12.5 Intel Corporation
12.6 Microsoft Corporation
12.7 Nvidia Corporation
12.8 Hewlett Packard Enterprise
12.9 Baidu Inc.
12.10 Qualcomm Technologies, Inc
12.11 Sensory Inc.
12.12 Skymind
12.13 General Vision Inc.

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

13 Appendix (Page No. – 168)
13.1 Insights From Industry Experts
13.2 Discussion Guide
13.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
13.4 Introducing RT: Real-Time Market Intelligence
13.5 Available Customizations
13.6 Related Reports
13.7 Author Details