Table of Contents:

1 Executive Summary
2 Market Introduction
2.1 Definition
2.2 Scope of the Study
2.3 Market Structure
3 Research Methodology
3.1 Research Process
3.2 List of Assumptions
3.3 Forecast Model
4 Market Dynamics
4.1 Introduction
4.2 Drivers
4.2.1 Increasing adoption of cloud-based services
4.2.2 Increasing unstructured data leads to the increasing demand for deep learning solutions
4.3 Restraint
4.3.1 Lack of technical expertise
4.4 Opportunities
4.4.1 Advantages of deep learning solutions in healthcare, agriculture, and marketing automation application
4.5 Challenge
4.5.1 Requirement of massive datasets for training
4.6 Value Chain Analysis
4.6.1 Design
4.6.2 Card/Processors
4.6.3 System & Software
4.6.4 End-users & Services
4.7 Porter's Five Forces Model
4.7.1 Threat of New Entrants
4.7.2 Bargaining Power of Suppliers
4.7.3 Bargaining Power of Buyers
4.7.4 Threat of Substitutes
4.7.5 Intensity of Rivalry
4.8 Evolution of Machine Learning
4.8.1 Correlation of Machine Learning and Deep Learning
4.8.2 Machine Learning Adoption by Region
4.8.2.1 North America
4.8.2.2 Europe
4.8.2.3 Asia-Pacific
4.8.2.4 Rest of the world (ROW)
4.9 Evolution of Deep Learning
4.1 Deep Learning Life Cycle
4.10.1 Defining Project Objectives
4.10.2 Acquiring and Exploring Data
4.10.3 Data Modelling
4.10.4 Interpretation and Communication
4.10.5 Implementation, Documentation and Maintenance
4.11 Use Cases
4.11.1 Drug Discovery and Medical Treatment
4.11.2 Predictive Maintenance
4.11.3 Customer Service Management and Personalized Service Offerings
4.11.4 Logistics Optimization
4.11.5 Voice and Image Recognition
4.12 Deep Learning Architectures/ Models
4.12.1 Recurrent Neural Network (RNN)
4.12.2 Convolutional Neural Network (CNN)
4.12.3 Unsupervised Pretrained Network (UPN)
4.12.3.1 Deep Belief Network (DBN)
4.12.3.2 Generative Adversarial Network (GAN)
5 Global Deep Learning Market, By Component
5.1 Overview
5.1.1 Hardware
5.1.1.1 Processors
5.1.1.2 Memory
5.1.1.3 Network
5.1.2 Software
5.1.2.1 Solution
5.1.2.2 Platform
5.1.3 Services
5.1.3.1 Installation
5.1.3.2 Training
5.1.3.3 Support & Maintenance
6 Global Deep Learning Market, By Application
6.1 Introduction
6.1.1 Image Recognition
6.1.2 Data Mining
6.1.3 Signal Recognition
6.1.4 Others
7 Global Deep Learning Market, By End-User
7.1 Introduction
7.1.1 Security
7.1.2 Manufacturing
7.1.3 Retail
7.1.4 Automotive
7.1.5 Media & Entertainment
7.1.6 BFSI
7.1.7 Healthcare
7.1.8 Agriculture
7.1.9 Others
8 Global Deep Learning Market, By Region
8.1 Introduction
8.2 North America
8.2.1 US
8.2.2 Canada
8.2.3 Mexico
8.3 Europe
8.3.1 UK
8.3.2 Germany
8.3.3 Spain
8.3.4 France
8.3.5 Rest of Europe
8.4 Asia-Pacific
8.4.1 China
8.4.2 Japan
8.4.3 Australia
8.4.4 India
8.4.5 Rest of Asia-Pacific
8.5 Rest of the World (ROW)
8.5.1 Middle East & Africa
8.5.2 South America
9 Competitive Landscape
9.1 Key Players Market Share Analysis, 2018 (%)
10 Company Profiles
10.1 Amazon Inc.
10.1.1 Company Overviews
10.1.2 Financial Overview
10.1.4 Key Developments
10.1.5 SWOT Analysis
10.1.6 Key Strategies
10.2 Intel Corporation
10.2.1 Company Overviews
10.2.2 Financial Overview
10.2.3 Products/Services/Solutions Offered
10.2.4 Key Developments
10.2.5 SWOT Analysis
10.2.6 Key Strategies
10.3 Samsung Electronics Co Ltd
10.3.1 Company Overviews
10.3.2 Financial Overview
10.3.4 Key Developments
10.3.5 SWOT Analysis
10.3.6 Key Strategies
10.4 Micron Technology
10.4.1 Company Overviews
10.4.2 Financial Overview
10.4.4 Key Developments
10.4.5 SWOT Analysis
10.4.6 Key Strategies
10.5 Sensory Inc
10.5.1 Company Overviews
10.5.3 Key Developments
10.5.4 SWOT Analysis
10.5.5 Key Strategies
10.6 Xilinx Inc
10.6.1 Company Overviews
10.6.2 Financial Overview
10.6.3 Products/Services/Solutions Offered
10.6.4 Key Developments
10.6.5 SWOT Analysis
10.6.6 Key Strategies
10.7 Google LLC
10.7.1 Company Overviews
10.7.2 Financial Overview
10.7.4 Key Developments
10.7.5 SWOT Analysis
10.7.6 Key Strategies
10.8 Mellanox Technologies
10.8.1 Company Overviews
10.8.2 Financial Overview
10.8.4 Key Developments
10.8.5 SWOT Analysis
10.8.6 Key Strategies
10.9 Adapteva, Inc.
10.9.1 Company Overviews
10.9.3 SWOT Analysis
10.1 Qualcomm Technologies Inc
10.10.1 Company Overviews
10.10.2 Financial Overview
10.10.4 Key Developments
10.10.5 SWOT Analysis
10.10.6 Key Strategies
10.11 NVIDIA Corporation
10.11.1 Company Overviews
10.11.2 Financial Overview
10.11.3 Products/Services/Solutions Offered
10.11.4 Key Developments
10.11.5 SWOT Analysis
10.11.6 Key Strategies
10.12 Baidu Inc
10.12.1 Company Overviews
10.12.2 Financial Overview
10.12.4 Key Developments
10.12.5 SWOT Analysis
10.12.6 Key Strategies
10.13 IBM Corporation
10.13.1 Company Overviews
10.13.2 Financial Overview
10.13.4 Key Developments
10.13.5 SWOT Analysis
10.13.6 Key Strategies
10.14 Advanced Micro Devices Inc
10.14.1 Company Overviews
10.14.2 Financial Overview
10.14.4 Key Developments
10.14.5 SWOT Analysis
10.14.6 Key Strategies
10.15 Microsoft Corporation
10.15.1 Company Overview
10.15.2 Financial Overview
10.15.3 Products/Services Offered
10.15.4 Key Developments
10.15.5 SWOT Analysis
10.15.6 Key Strategies
10.16 Facebook
10.16.1 Company Overview
10.16.2 Financial Overview
10.16.3 Products/Services Offered
10.16.4 Key Developments
10.16.5 SWOT Analysis
10.16.6 Key Strategies
10.17 Tenstorrent
10.17.1 Company Overview
10.17.2 Products/Services/Solutions Offered