Report Scope:
The report provides an overview of the global market for deep learning and analyzes market trends. Using 2019 as the base year, the report provides estimated market data for the forecast period of 2020 through 2025. Revenue forecasts for this period are segmented by offering, end-user, and region. Market values have been estimated based on the total revenues of hardware, software, and services companies.
The report also focuses on the major drivers and challenges that affect the market and the vendor landscape. The report explores the competitive landscape and current trends in the deep learning market and concludes with an analysis of the deep learning vendor landscape and profiles of the major players in the global market.
Report Includes:
- 57 data tables and 46 additional tables
- An overview of the global market for deep learning technology within the framework of big data analytics
- Analyses of the global market trends, with corresponding market analysis data for 2019, estimates for 2020, and projections of compound annual growth rates (CAGRs) through 2025
- Insights into the market potential for deep learning technology, opportunities and challenges, and technological trends and issues impacting the industry
- Estimation of market size and forecast, with a deep dive of market share analysis on the basis of technology type, application, end-use industry with major regions and countries involved
- Understanding of the upcoming market opportunities and areas of focus to forecasting the market into various segments, and the value chain of the deep learning industry ecosystem
- Review of the U.S. patents and patent applications filed on deep learning technologies
- Discussion of the impact of COVID-19 pandemic on the deep learning market and the global economy
- Information pertaining to strategic profiling of key companies present across the globe and their competitive landscape in this market
- Profile descriptions of the market-leading participants, including Alphabet Inc., Amazon.com Inc., Facebook Inc., Fujitsu Ltd., Hewlett Packard Enterprise Co., Intel Corp., IBM Corp., Microsoft Corp., Nvidia, and Qualcomm Inc.
Table of Contents
Chapter 1 Introduction
- Introduction
- Study Goals and Objectives
- Reasons for Doing This Study
- Scope of Report
- Information Sources
- Methodology
- Intended Audience
- Geographic Breakdown
- Analyst's Credentials
- Custom Research
- Related Reports
Chapter 2 Summary and Highlights
Chapter 3 Market and Technology Background
- Technology Overview
- Deep Learning Ecosystem Analysis
- Technology Use Cases
- Image Recognition
- Signal Recognition
- Data Mining
- Other Applications
- Market Drivers
- Growing R&D Investments to Achieve Enhanced Computational Efficiency and Cost Optimization
- Rising Adoption of AI and Cloud Technologies
- Increasing Demand for Big Data Analytics Due to Huge Unstructured Data Generation at End-Use Industry Sites
- Market Restraints
- Dearth of Training Data and Technical Expertise
- Data Security and Privacy Issues
- Impact of COVID-19 on Deep Learning Market
Chapter 4 Market Breakdown by Offering
- Overview
- Hardware
- Processor
- Memory
- Network Devices
- Software
- Platform
- Solutions
- Services
- Installation and Integration
- Training
- Support and Maintenance
Chapter 5 Market Breakdown by End User
- Overview
- Industrial
- Retail
- Fintech
- Healthcare
- Marketing
- Automotive
- Security
- Agriculture
- Human Resources
- Legal
Chapter 6 Market Breakdown by Region
- Overview
- Americas
- U.S.
- Canada
- Mexico
- Brazil
- Rest of the Americas
- Europe
- Germany
- U.K.
- France
- Italy
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- Rest of APAC
- Middle East and Africa
- Middle East
- Africa
Chapter 7 Competitive Landscape
- Market Ranking
- Patent Review
- Strategic Analysis
- Product Launches
- Collaborations and Partnerships
- Acquisitions, Expansions and Investments
Chapter 8 Company Profiles
- Advanced Micro Devices Inc.
- Alphabet Inc.
- Amazon.Com, Inc.
- Facebook Inc.
- Fujitsu Ltd.
- Graphcore Ltd.
- Hewlett Packard Enterprise Co.
- Huawei Technologies Co., Ltd.
- Intel Corp.
- International Business Machines (Ibm) Corp.
- Micron Technology Inc.
- Microsoft Corp.
- Mythic
- Nvidia Corp.
- Qualcomm Inc.
- Samsung Electronics Co., Ltd.
- Sensory Inc.
- Tenstorrent Inc.
- Xilinx Inc.
- Zero Asic Corp. (Formerly Adapteva Inc.)
Chapter 9 Appendix: Acronyms
List of Tables
Summary Table: Global Market for Deep Learning, by Offering, Through 2025
Table 1: Global Market for Deep Learning, by Offering, Through 2025
Table 2: Global Market for Deep Learning Hardware, by Type, Through 2025
Table 3: Global Market for Deep Learning Hardware, by End User, Through 2025
Table 4: Global Market for Deep Learning Processors, by Type, Through 2025
Table 5: Global Market for Deep Learning Software, by End User, Through 2025
Table 6: Global Market for Deep Learning Services, by End User, Through 2025
Table 7: Global Market for Deep Learning, by End User, Through 2025
Table 8: Global Market for Deep Learning in Industrial Sector, by Offering, Through 2025
Table 9: Global Market for Deep Learning in Industrial Sector, by Region, Through 2025
Table 10: Global Market for Deep Learning in Retail Industry, by Offering, Through 2025
Table 11: Global Market for Deep Learning in Retail Industry, by Region, Through 2025
Table 12: Global Market for Deep Learning in Fintech Industry, by Offering, Through 2025
Table 13: Global Market for Deep Learning in Fintech Industry, by Region, Through 2025
Table 14: Global Market for Deep Learning in Healthcare Industry, by Offering, Through 2025
Table 15: Global Market for Deep Learning in Healthcare Industry, by Region, Through 2025
Table 16: Global Market for Deep Learning in Marketing, by Offering, Through 2025
Table 17: Global Market for Deep Learning in Marketing, by Region, Through 2025
Table 18: Global Market for Deep Learning in Automotive Industry, by Offering, Through 2025
Table 19: Global Market for Deep Learning in Automotive Industry, by Region, Through 2025
Table 20: Global Market for Deep Learning in Security, by Offering, Through 2025
Table 21: Global Market for Deep Learning in Security, by Region, Through 2025
Table 22: Global Market for Deep Learning in Agriculture Industry, by Offering, Through 2025
Table 23: Global Market for Deep Learning in Agriculture Industry, by Region, Through 2025
Table 24: Global Market for Deep Learning in HR, by Offering, Through 2025
Table 25: Global Market for Deep Learning in HR, by Region, Through 2025
Table 26: Global Market for Deep Learning in Legal, by Offering, Through 2025
Table 27: Global Market for Deep Learning in Legal, by Region, Through 2025
Table 28: Global Market for Deep Learning, by Region, Through 2025
Table 29: Americas Market for Deep Learning, by Country, Through 2025
Table 30: Americas Market for Deep Learning, by End User, Through 2025
Table 31: European Market for Deep Learning, by Country, Through 2025
Table 32: European Market for Deep Learning, by End User, Through 2025
Table 33: APAC Market for Deep Learning, by Country, Through 2025
Table 34: APAC Market for Deep Learning, by End User, Through 2025
Table 35: MEA Market for Deep Learning, by Sub-Region, Through 2025
Table 36: MEA Market for Deep Learning, by End User, Through 2025
Table 37: Global Ranking of Top Three Deep Learning Solution Providers, 2020
Table 38: Global Ranking of Top Three Deep Learning Hardware Chipset Providers, 2020
Table 39: Global Ranking of Top Three Deep Learning Software Providers, 2020
Table 40: Global Ranking of Top Three Emerging Players in Deep Learning Market, 2020
Table 41: U.S. Patents and Patent Applications Filed for Deep Learning Technologies
Table 42: Global Deep Learning Market, Product Launches, January 2019-September 2020
Table 43: Global Deep Learning Market, Collaborations and Partnerships, January 2019-September 2020
Table 44: Global Deep Learning Market, Acquisitions, Expansions, and Investments, January 2019-September 2020
Table 45: AMD: Recent Financial Performance, 2017-2019
Table 46: AMD: Deep Learning Offerings
Table 47: AMD: Recent Developments, 2019-2020
Table 48: Alphabet: Recent Financial Performance, 2017-2019
Table 49: Alphabet: Deep Learning Offerings
Table 50: Alphabet: Recent Developments, 2019
Table 51: Amazon: Recent Financial Performance, 2017-2019
Table 52: Amazon: Deep Learning Offerings
Table 53: Amazon: Recent Developments, 2019
Table 54: Facebook: Recent Financial Performance, 2017-2019
Table 55: Facebook: Deep Learning Offerings
Table 56: Facebook: Recent Developments, 2019-2020
Table 57: Fujitsu: Recent Financial Performance, 2018-2020
Table 58: Fujitsu: Deep Learning Offerings
Table 59: Fujitsu: Recent Developments, 2019-2020
Table 60: Graphcore: Investor Funding, 2016-2020
Table 61: HPE: Recent Financial Performance, 2017-2019
Table 62: HPE: Deep Learning Offerings
Table 63: HPE: Recent Developments, 2019-2020
Table 64: Huawei: Recent Financial Performance, 2017-2019
Table 65: Huawei: Deep Learning Offerings
Table 66: Huawei: Recent Developments, 2019-2020
Table 67: Intel: Recent Financial Performance, 2017-2019
Table 68: Intel: Deep Learning Hardware
Table 69: Intel: Deep Learning Software
Table 70: Intel: Deep Learning Solutions
Table 71: Intel: Recent Developments, 2019
Table 72: IBM: Recent Financial Performance, 2017-2019
Table 73: IBM: Deep Learning Offerings
Table 74: IBM: Recent Developments, 2019-2020
Table 75: Micron: Recent Financial Performance, 2017-2019
Table 76: Micron: Deep Learning Offerings
Table 77: Micron: Recent Developments, 2019-2020
Table 78: Microsoft: Recent Financial Performance, 2018-2020
Table 79: Microsoft: Deep Learning Applications
Table 80: Microsoft: Recent Developments, 2019
Table 81: Mythic: Investor Funding, 2016-2019
Table 82: Nvidia: Recent Financial Performance, 2018-2020
Table 83: Nvidia: Deep Learning Hardware
Table 84: Nvidia: Deep Learning Software
Table 85: Nvidia: Recent Developments, 2019-2020
Table 86: Qualcomm: Recent Financial Performance, 2017-2019
Table 87: Qualcomm: Deep Learning Offerings
Table 88: Qualcomm: Recent Developments, 2019-2020
Table 89: Samsung: Recent Financial Performance, 2017-2019
Table 90: Samsung: Ongoing Projects Related to Deep Learning
Table 91: Samsung: Recent Developments, 2019-2020
Table 92: Sensory: Investor Funding
Table 93: Sensory: Deep Learning Offerings
Table 94: Sensory: Recent Developments, 2019-2020
Table 95: Tenstorrent: Investor Funding, 2016-2019
Table 96: Tenstorrent: Deep Learning Offerings
Table 97: Tenstorrent: Recent Developments, 2020
Table 98: Xilinx: Recent Financial Performance, 2018-2020
Table 99: Xilinx: Deep Learning Offerings
Table 100: Xilinx: Recent Developments, 2019-2020
Table 101: Zero ASIC: Investor Funding
Table 102: Zero ASIC: Deep Learning Offerings
List of Figures
Summary Figure: Global Market for Deep Learning, 2019-2025
Figure 1: Ecosystem of Deep Learning Market
Figure 2: Global Market for Deep Learning, by Offering, 2019-2025
Figure 3: Global Market Share for Deep Learning, by Offering, 2020
Figure 4: Global Market for Deep Learning Hardware, by Type, 2019-2025
Figure 5: Global Market for Deep Learning Hardware, by End User, 2019-2025
Figure 6: Global Market for Deep Learning Processors, by Type, 2019-2025
Figure 7: Global Market for Deep Learning Software, by End User, 2019-2025
Figure 8: Global Market for Deep Learning Services, by End User, 2019-2025
Figure 9: Global Market for Deep Learning, by End User, 2019-2025
Figure 10: Global Market Share for Deep Learning, by End User, 2020
Figure 11: Global Market for Deep Learning in Industrial Sector, by Offering, 2019-2025
Figure 12: Global Market for Deep Learning in Industrial Sector, by Region, 2019-2025
Figure 13: Global Market for Deep Learning in Retail Industry, by Offering, 2019-2025
Figure 14: Global Market for Deep Learning in Retail Industry, by Region, 2019-2025
Figure 15: Global Market for Deep Learning in Fintech Industry, by Offering, 2019-2025
Figure 16: Global Market for Deep Learning in Fintech Industry, by Region, 2019-2025
Figure 17: Global Market for Deep Learning in Healthcare Industry, by Offering, 2019-2025
Figure 18: Global Market for Deep Learning in Healthcare Industry, by Region, 2019-2025
Figure 19: Global Market for Deep Learning in Marketing, by Offering, 2019-2025
Figure 20: Global Market for Deep Learning in Marketing, by Region, 2019-2025
Figure 21: Global Market for Deep Learning in Automotive Industry, by Offering, 2019-2025
Figure 22: Global Market for Deep Learning in Automotive Industry, by Region, 2019-2025
Figure 23: Global Market for Deep Learning in Security, by Offering, 2019-2025
Figure 24: Global Market for Deep Learning in Security, by Region, 2019-2025
Figure 25: Global Market for Deep Learning in Agriculture Industry, by Offering, 2019-2025
Figure 26: Global Market for Deep Learning in Agriculture Industry, by Region, 2019-2025
Figure 27: Global Market for Deep Learning in HR, by Offering, 2019-2025
Figure 28: Global Market for Deep Learning in HR, by Region, 2019-2025
Figure 29: Global Market for Deep Learning in Legal, by Offering, 2019-2025
Figure 30: Global Market for Deep Learning in Legal, by Region, 2019-2025
Figure 31: Global Market for Deep Learning, by Region, 2019-2025
Figure 32: Global Market Share for Deep Learning, by Region, 2020
Figure 33: Americas Market for Deep Learning, by Country, 2019-2025
Figure 34: Americas Market for Deep Learning, by End User, 2019-2025
Figure 35: European Market for Deep Learning, by Country, 2019-2025
Figure 36: European Market for Deep Learning, by End User, 2019-2025
Figure 37: APAC Market for Deep Learning, by Country, 2019-2025
Figure 38: APAC Market for Deep Learning, by End User, 2019-2025
Figure 39: MEA Market for Deep Learning, by Sub-Region, 2019-2025
Figure 40: MEA Market for Deep Learning, by End User, 2019-2025
Figure 41: Shares of the Most Followed Strategies in Global Deep Learning Market, 2019 and 2020
Figure 42: Shares of Top Players of Deep Learning Market, by Region, 2020
Figure 43: AMD: Revenue Share, by Segment, 2019
Figure 44: AMD: Revenue Share, by Country/Region, 2019
Figure 45: Alphabet: Revenue Share, by Segment, 2019
Figure 46: Alphabet: Revenue Share, by Region, 2019
Figure 47: Amazon: Revenue Share, by Segment, 2019
Figure 48: Amazon: Revenue Share, by Country, 2019
Figure 49: Facebook: Revenue Share, by Source, 2019
Figure 50: Facebook: Revenue Share, by Country/Region, 2019
Figure 51: Fujitsu: Revenue Share, by Source, 2020
Figure 52: Fujitsu: Revenue Share, by Region, 2020
Figure 53: HPE: Revenue Share, by Source, 2019
Figure 54: HPE: Revenue Share, by Country/Region, 2019
Figure 55: Huawei: Revenue Share, by Business Segment, 2019
Figure 56: Huawei: Revenue Share, by Country/Region, 2019
Figure 57: Intel: Revenue Share, by Business Segment, 2019
Figure 58: Intel: Revenue Share, by Country/Region, 2019
Figure 59: IBM: Revenue Share, by Business Segment, 2019
Figure 60: IBM: Revenue Share, by Region, 2019
Figure 61: Micron: Revenue Share, by Segment, 2019
Figure 62: Micron: Revenue Share, by Country/Region, 2019
Figure 63: Microsoft: Revenue Share, by Business Segment, 2020
Figure 64: Microsoft: Revenue Share, by Country/Region, 2020
Figure 65: Nvidia: Revenue Share, by Segment, 2020
Figure 66: Nvidia: Revenue Share, by Country/Region, 2020
Figure 67: Qualcomm: Revenue Share, by Segment, 2019
Figure 68: Qualcomm: Revenue Share, by Country, 2019
Figure 69: Samsung: Revenue Share, by Business Segment, 2019
Figure 70: Samsung: Revenue Share, by Country/Region, 2019
Figure 71: Xilinx: Revenue Share, by Segment, 2020
Figure 72: Xilinx: Revenue Share, by Country/Region, 2020
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Executive Summary
Deep learning, also known as deep machine learning (ML), deep structured learning, hierarchical learning, deep neural learning, and deep neural network, is a subset of ML. The technology uses an artificial neural network (ANN) to act like the human brain, by learning and solving complex problems through extracting features from unstructured data in areas such as speech recognition, natural language processing (NLP), and image classification. Deep learning is the fastest-growing AI technology.
The outbreak of the COVID-19 pandemic has led to a significant change in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments, all of which has impacted the deep learning market.
Several important research studies have been conducted to automate the detection of the disease in patients. Scientists are trying to apply deep learning technology to the analysis of radiography images for the accurate detection of the disease. Over the next few years, startups and large technology companies are expected to use deep learning to create new products and services that will transform the way people interact with technology.
Companies Mentioned
- Advanced Micro Devices Inc.
- Alphabet Inc.
- Amazon.Com, Inc.
- Facebook Inc.
- Fujitsu Ltd.
- Graphcore Ltd.
- Hewlett Packard Enterprise Co.
- Huawei Technologies Co., Ltd.
- Intel Corp.
- International Business Machines (Ibm) Corp.
- Micron Technology Inc.
- Microsoft Corp.
- Mythic
- Nvidia Corp.
- Qualcomm Inc.
- Samsung Electronics Co., Ltd.
- Sensory Inc.
- Tenstorrent Inc.
- Xilinx Inc.
- Zero Asic Corp. (Formerly Adapteva Inc.)
