Global Deep Learning in Security Market 2021 by Company, Regions, Type and Application, Forecast to 2026

Page: 94

Published Date: 03 Jul 2021

Category: Service & Software

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Description
Table of Contents
Table of Figures
Research Methodology
Companies Mentioned
Related Reports
Product Tags

Description

The Deep Learning in Security market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.

According to our latest research, the global Deep Learning in Security size is estimated to be USD xx million in 2026 from USD xx million in 2020, with a change XX% between 2020 and 2021. The global Deep Learning in Security market size is expected to grow at a CAGR of xx% for the next five years.

Market segmentation
Deep Learning in Security market is split by Type and by Application. For the period 2016-2026, the growth among segments provide accurate calculations and forecasts for revenue by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type, covers
    Hardware
    Software
    Service

Market segment by Application, can be divided into
    Identity and Access Management
    Risk and Compliance Management
    Encryption
    Data Loss Prevention
    Unified Threat Management
    Antivirus/Antimalware
    Intrusion Detection/Prevention Systems
    Others (Firewall, Distributed Denial-of-Service (DDoS), Disaster Recovery)

Market segment by players, this report covers
    NVIDIA (US)
    Intel (US)
    Xilinx (US)
    Samsung Electronics (South Korea)
    Micron Technology (US)
    Qualcomm (US)
    IBM (US)
    Google (US)
    Microsoft (US)
    AWS (US)
    Graphcore (UK)
    Mythic (US)
    Adapteva (US)
    Koniku (US)

Market segment by regions, regional analysis covers
    North America (United States, Canada, and Mexico)
    Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
    Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia, and Rest of Asia-Pacific)
    South America (Brazil, Argentina, Rest of South America)
    Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 12 chapters:
Chapter 1, to describe Deep Learning in Security product scope, market overview, market opportunities, market driving force and market risks.
Chapter 2, to profile the top players of Deep Learning in Security, with revenue, gross margin and global market share of Deep Learning in Security from 2019 to 2021.
Chapter 3, the Deep Learning in Security competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.
Chapter 4 and 5, to segment the market size by type and application, with revenue and growth rate by type, application, from 2016 to 2026.
Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2016 to 2021.and Deep Learning in Security market forecast, by regions, type and application, with revenue, from 2021 to 2026.
Chapter 11 and 12, to describe Deep Learning in Security research findings and conclusion, appendix and data source.

Table of Contents

1 Market Overview
    1.1 Product Overview and Scope of Deep Learning in Security
    1.2 Classification of Deep Learning in Security by Type
        1.2.1 Overview: Global Deep Learning in Security Market Size by Type: 2020 Versus 2021 Versus 2026
        1.2.2 Global Deep Learning in Security Revenue Market Share by Type in 2020
        1.2.3 Hardware
        1.2.4 Software
        1.2.5 Service
    1.3 Global Deep Learning in Security Market by Application
        1.3.1 Overview: Global Deep Learning in Security Market Size by Application: 2020 Versus 2021 Versus 2026
        1.3.2 Identity and Access Management
        1.3.3 Risk and Compliance Management
        1.3.4 Encryption
        1.3.5 Data Loss Prevention
        1.3.6 Unified Threat Management
        1.3.7 Antivirus/Antimalware
        1.3.8 Intrusion Detection/Prevention Systems
        1.3.9 Others (Firewall, Distributed Denial-of-Service (DDoS), Disaster Recovery)
    1.4 Global Deep Learning in Security Market Size & Forecast
    1.5 Global Deep Learning in Security Market Size and Forecast by Region
        1.5.1 Global Deep Learning in Security Market Size by Region: 2016 VS 2021 VS 2026
        1.5.2 Global Deep Learning in Security Market Size by Region, (2016-2021)
        1.5.3 North America Deep Learning in Security Market Size and Prospect (2016-2026)
        1.5.4 Europe Deep Learning in Security Market Size and Prospect (2016-2026)
        1.5.5 Asia-Pacific Deep Learning in Security Market Size and Prospect (2016-2026)
        1.5.6 South America Deep Learning in Security Market Size and Prospect (2016-2026)
        1.5.7 Middle East and Africa Deep Learning in Security Market Size and Prospect (2016-2026)
    1.6 Market Drivers, Restraints and Trends
        1.6.1 Deep Learning in Security Market Drivers
        1.6.2 Deep Learning in Security Market Restraints
        1.6.3 Deep Learning in Security Trends Analysis

2 Company Profiles
    2.1 NVIDIA (US)
        2.1.1 NVIDIA (US) Details
        2.1.2 NVIDIA (US) Major Business
        2.1.3 NVIDIA (US) Deep Learning in Security Product and Solutions
        2.1.4 NVIDIA (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.1.5 NVIDIA (US) Recent Developments and Future Plans
    2.2 Intel (US)
        2.2.1 Intel (US) Details
        2.2.2 Intel (US) Major Business
        2.2.3 Intel (US) Deep Learning in Security Product and Solutions
        2.2.4 Intel (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.2.5 Intel (US) Recent Developments and Future Plans
    2.3 Xilinx (US)
        2.3.1 Xilinx (US) Details
        2.3.2 Xilinx (US) Major Business
        2.3.3 Xilinx (US) Deep Learning in Security Product and Solutions
        2.3.4 Xilinx (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.3.5 Xilinx (US) Recent Developments and Future Plans
    2.4 Samsung Electronics (South Korea)
        2.4.1 Samsung Electronics (South Korea) Details
        2.4.2 Samsung Electronics (South Korea) Major Business
        2.4.3 Samsung Electronics (South Korea) Deep Learning in Security Product and Solutions
        2.4.4 Samsung Electronics (South Korea) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.4.5 Samsung Electronics (South Korea) Recent Developments and Future Plans
    2.5 Micron Technology (US)
        2.5.1 Micron Technology (US) Details
        2.5.2 Micron Technology (US) Major Business
        2.5.3 Micron Technology (US) Deep Learning in Security Product and Solutions
        2.5.4 Micron Technology (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.5.5 Micron Technology (US) Recent Developments and Future Plans
    2.6 Qualcomm (US)
        2.6.1 Qualcomm (US) Details
        2.6.2 Qualcomm (US) Major Business
        2.6.3 Qualcomm (US) Deep Learning in Security Product and Solutions
        2.6.4 Qualcomm (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.6.5 Qualcomm (US) Recent Developments and Future Plans
    2.7 IBM (US)
        2.7.1 IBM (US) Details
        2.7.2 IBM (US) Major Business
        2.7.3 IBM (US) Deep Learning in Security Product and Solutions
        2.7.4 IBM (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.7.5 IBM (US) Recent Developments and Future Plans
    2.8 Google (US)
        2.8.1 Google (US) Details
        2.8.2 Google (US) Major Business
        2.8.3 Google (US) Deep Learning in Security Product and Solutions
        2.8.4 Google (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.8.5 Google (US) Recent Developments and Future Plans
    2.9 Microsoft (US)
        2.9.1 Microsoft (US) Details
        2.9.2 Microsoft (US) Major Business
        2.9.3 Microsoft (US) Deep Learning in Security Product and Solutions
        2.9.4 Microsoft (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.9.5 Microsoft (US) Recent Developments and Future Plans
    2.10 AWS (US)
        2.10.1 AWS (US) Details
        2.10.2 AWS (US) Major Business
        2.10.3 AWS (US) Deep Learning in Security Product and Solutions
        2.10.4 AWS (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.10.5 AWS (US) Recent Developments and Future Plans
    2.11 Graphcore (UK)
        2.11.1 Graphcore (UK) Details
        2.11.2 Graphcore (UK) Major Business
        2.11.3 Graphcore (UK) Deep Learning in Security Product and Solutions
        2.11.4 Graphcore (UK) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.11.5 Graphcore (UK) Recent Developments and Future Plans
    2.12 Mythic (US)
        2.12.1 Mythic (US) Details
        2.12.2 Mythic (US) Major Business
        2.12.3 Mythic (US) Deep Learning in Security Product and Solutions
        2.12.4 Mythic (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.12.5 Mythic (US) Recent Developments and Future Plans
    2.13 Adapteva (US)
        2.13.1 Adapteva (US) Details
        2.13.2 Adapteva (US) Major Business
        2.13.3 Adapteva (US) Deep Learning in Security Product and Solutions
        2.13.4 Adapteva (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.13.5 Adapteva (US) Recent Developments and Future Plans
    2.14 Koniku (US)
        2.14.1 Koniku (US) Details
        2.14.2 Koniku (US) Major Business
        2.14.3 Koniku (US) Deep Learning in Security Product and Solutions
        2.14.4 Koniku (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2019-2021)
        2.14.5 Koniku (US) Recent Developments and Future Plans

3 Market Competition, by Players
    3.1 Global Deep Learning in Security Revenue and Share by Players (2019-2021)
    3.2 Market Concentration Rate
        3.2.1 Top 3 Deep Learning in Security Players Market Share
        3.2.2 Top 10 Deep Learning in Security Players Market Share
        3.2.3 Market Competition Trend
    3.3 Deep Learning in Security Players Head Office, Products and Services Provided
    3.4 Mergers & Acquisitions
    3.5 New Entrants and Expansion Plans

4 Market Size Segment by Type
    4.1 Global Deep Learning in Security Revenue and Market Share by Type (2016-2021)
    4.2 Global Deep Learning in Security Market Forecast by Type (2021-2026)

5 Market Size Segment by Application
    5.1 Global Deep Learning in Security Revenue Market Share by Application (2016-2021)
    5.2 Deep Learning in Security Market Forecast by Application (2021-2026)

6 North America by Country, by Type, and by Application
    6.1 North America Deep Learning in Security Revenue by Type (2016-2026)
    6.2 North America Deep Learning in Security Revenue by Application (2016-2026)
    6.3 North America Deep Learning in Security Market Size by Country
        6.3.1 North America Deep Learning in Security Revenue by Country (2016-2026)
        6.3.2 United States Deep Learning in Security Market Size and Forecast (2016-2026)
        6.3.3 Canada Deep Learning in Security Market Size and Forecast (2016-2026)
        6.3.4 Mexico Deep Learning in Security Market Size and Forecast (2016-2026)

7 Europe by Country, by Type, and by Application
    7.1 Europe Deep Learning in Security Revenue by Type (2016-2026)
    7.2 Europe Deep Learning in Security Revenue by Application (2016-2026)
    7.3 Europe Deep Learning in Security Market Size by Country
        7.3.1 Europe Deep Learning in Security Revenue by Country (2016-2026)
        7.3.2 Germany Deep Learning in Security Market Size and Forecast (2016-2026)
        7.3.3 France Deep Learning in Security Market Size and Forecast (2016-2026)
        7.3.4 United Kingdom Deep Learning in Security Market Size and Forecast (2016-2026)
        7.3.5 Russia Deep Learning in Security Market Size and Forecast (2016-2026)
        7.3.6 Italy Deep Learning in Security Market Size and Forecast (2016-2026)

8 Asia-Pacific by Region, by Type, and by Application
    8.1 Asia-Pacific Deep Learning in Security Revenue by Type (2016-2026)
    8.2 Asia-Pacific Deep Learning in Security Revenue by Application (2016-2026)
    8.3 Asia-Pacific Deep Learning in Security Market Size by Region
        8.3.1 Asia-Pacific Deep Learning in Security Revenue by Region (2016-2026)
        8.3.2 China Deep Learning in Security Market Size and Forecast (2016-2026)
        8.3.3 Japan Deep Learning in Security Market Size and Forecast (2016-2026)
        8.3.4 South Korea Deep Learning in Security Market Size and Forecast (2016-2026)
        8.3.5 India Deep Learning in Security Market Size and Forecast (2016-2026)
        8.3.6 Southeast Asia Deep Learning in Security Market Size and Forecast (2016-2026)
        8.3.7 Australia Deep Learning in Security Market Size and Forecast (2016-2026)

9 South America by Country, by Type, and by Application
    9.1 South America Deep Learning in Security Revenue by Type (2016-2026)
    9.2 South America Deep Learning in Security Revenue by Application (2016-2026)
    9.3 South America Deep Learning in Security Market Size by Country
        9.3.1 South America Deep Learning in Security Revenue by Country (2016-2026)
        9.3.2 Brazil Deep Learning in Security Market Size and Forecast (2016-2026)
        9.3.3 Argentina Deep Learning in Security Market Size and Forecast (2016-2026)

10 Middle East & Africa by Country, by Type, and by Application
    10.1 Middle East & Africa Deep Learning in Security Revenue by Type (2016-2026)
    10.2 Middle East & Africa Deep Learning in Security Revenue by Application (2016-2026)
    10.3 Middle East & Africa Deep Learning in Security Market Size by Country
        10.3.1 Middle East & Africa Deep Learning in Security Revenue by Country (2016-2026)
        10.3.2 Turkey Deep Learning in Security Market Size and Forecast (2016-2026)
        10.3.3 Saudi Arabia Deep Learning in Security Market Size and Forecast (2016-2026)
        10.3.4 UAE Deep Learning in Security Market Size and Forecast (2016-2026)

11 Research Findings and Conclusion

12 Appendix
    12.1 Methodology
    12.2 Research Process and Data Source
    12.3 Disclaimer

Table of Figures

List of Tables
    Table 1. Global Deep Learning in Security Revenue by Type, (USD Million), 2020 VS 2021 VS 2026
    Table 2. Global Deep Learning in Security Revenue by Application, (USD Million), 2020 VS 2021 VS 2026
    Table 3. Global Market Deep Learning in Security Revenue (Million USD) Comparison by Region (2016 VS 2021 VS 2026)
    Table 4. Global Deep Learning in Security Revenue (USD Million) by Region (2016-2021)
    Table 5. Global Deep Learning in Security Revenue Market Share by Region (2021-2026)
    Table 6. NVIDIA (US) Corporate Information, Head Office, and Major Competitors
    Table 7. NVIDIA (US) Major Business
    Table 8. NVIDIA (US) Deep Learning in Security Product and Solutions
    Table 9. NVIDIA (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 10. Intel (US) Corporate Information, Head Office, and Major Competitors
    Table 11. Intel (US) Major Business
    Table 12. Intel (US) Deep Learning in Security Product and Solutions
    Table 13. Intel (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 14. Xilinx (US) Corporate Information, Head Office, and Major Competitors
    Table 15. Xilinx (US) Major Business
    Table 16. Xilinx (US) Deep Learning in Security Product and Solutions
    Table 17. Xilinx (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 18. Samsung Electronics (South Korea) Corporate Information, Head Office, and Major Competitors
    Table 19. Samsung Electronics (South Korea) Major Business
    Table 20. Samsung Electronics (South Korea) Deep Learning in Security Product and Solutions
    Table 21. Samsung Electronics (South Korea) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 22. Micron Technology (US) Corporate Information, Head Office, and Major Competitors
    Table 23. Micron Technology (US) Major Business
    Table 24. Micron Technology (US) Deep Learning in Security Product and Solutions
    Table 25. Micron Technology (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 26. Qualcomm (US) Corporate Information, Head Office, and Major Competitors
    Table 27. Qualcomm (US) Major Business
    Table 28. Qualcomm (US) Deep Learning in Security Product and Solutions
    Table 29. Qualcomm (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 30. IBM (US) Corporate Information, Head Office, and Major Competitors
    Table 31. IBM (US) Major Business
    Table 32. IBM (US) Deep Learning in Security Product and Solutions
    Table 33. IBM (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 34. Google (US) Corporate Information, Head Office, and Major Competitors
    Table 35. Google (US) Major Business
    Table 36. Google (US) Deep Learning in Security Product and Solutions
    Table 37. Google (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 38. Microsoft (US) Corporate Information, Head Office, and Major Competitors
    Table 39. Microsoft (US) Major Business
    Table 40. Microsoft (US) Deep Learning in Security Product and Solutions
    Table 41. Microsoft (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 42. AWS (US) Corporate Information, Head Office, and Major Competitors
    Table 43. AWS (US) Major Business
    Table 44. AWS (US) Deep Learning in Security Product and Solutions
    Table 45. AWS (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 46. Graphcore (UK) Corporate Information, Head Office, and Major Competitors
    Table 47. Graphcore (UK) Major Business
    Table 48. Graphcore (UK) Deep Learning in Security Product and Solutions
    Table 49. Graphcore (UK) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 50. Mythic (US) Corporate Information, Head Office, and Major Competitors
    Table 51. Mythic (US) Major Business
    Table 52. Mythic (US) Deep Learning in Security Product and Solutions
    Table 53. Mythic (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 54. Adapteva (US) Corporate Information, Head Office, and Major Competitors
    Table 55. Adapteva (US) Major Business
    Table 56. Adapteva (US) Deep Learning in Security Product and Solutions
    Table 57. Adapteva (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 58. Koniku (US) Corporate Information, Head Office, and Major Competitors
    Table 59. Koniku (US) Major Business
    Table 60. Koniku (US) Deep Learning in Security Product and Solutions
    Table 61. Koniku (US) Deep Learning in Security Revenue (USD Million), Gross Margin and Market Share (2019-2021)
    Table 62. Global Deep Learning in Security Revenue (USD Million) by Players (2019-2021)
    Table 63. Global Deep Learning in Security Revenue Share by Players (2019-2021)
    Table 64. Breakdown of Deep Learning in Security by Company Type (Tier 1, Tier 2 and Tier 3)
    Table 65. Deep Learning in Security Players Head Office, Products and Services Provided
    Table 66. Deep Learning in Security Mergers & Acquisitions in the Past Five Years
    Table 67. Deep Learning in Security New Entrants and Expansion Plans
    Table 68. Global Deep Learning in Security Revenue (USD Million) by Type (2016-2021)
    Table 69. Global Deep Learning in Security Revenue Share by Type (2016-2021)
    Table 70. Global Deep Learning in Security Revenue Forecast by Type (2021-2026)
    Table 71. Global Deep Learning in Security Revenue by Application (2016-2021)
    Table 72. Global Deep Learning in Security Revenue Forecast by Application (2021-2026)
    Table 73. North America Deep Learning in Security Revenue by Type (2016-2021) & (USD Million)
    Table 74. North America Deep Learning in Security Revenue by Type (2021-2026) & (USD Million)
    Table 75. North America Deep Learning in Security Revenue by Application (2016-2021) & (USD Million)
    Table 76. North America Deep Learning in Security Revenue by Application (2021-2026) & (USD Million)
    Table 77. North America Deep Learning in Security Revenue by Country (2016-2021) & (USD Million)
    Table 78. North America Deep Learning in Security Revenue by Country (2021-2026) & (USD Million)
    Table 79. Europe Deep Learning in Security Revenue by Type (2016-2021) & (USD Million)
    Table 80. Europe Deep Learning in Security Revenue by Type (2021-2026) & (USD Million)
    Table 81. Europe Deep Learning in Security Revenue by Application (2016-2021) & (USD Million)
    Table 82. Europe Deep Learning in Security Revenue by Application (2021-2026) & (USD Million)
    Table 83. Europe Deep Learning in Security Revenue by Country (2016-2021) & (USD Million)
    Table 84. Europe Deep Learning in Security Revenue by Country (2021-2026) & (USD Million)
    Table 85. Asia-Pacific Deep Learning in Security Revenue by Type (2016-2021) & (USD Million)
    Table 86. Asia-Pacific Deep Learning in Security Revenue by Type (2021-2026) & (USD Million)
    Table 87. Asia-Pacific Deep Learning in Security Revenue by Application (2016-2021) & (USD Million)
    Table 88. Asia-Pacific Deep Learning in Security Revenue by Application (2021-2026) & (USD Million)
    Table 89. Asia-Pacific Deep Learning in Security Revenue by Region (2016-2021) & (USD Million)
    Table 90. Asia-Pacific Deep Learning in Security Revenue by Region (2021-2026) & (USD Million)
    Table 91. South America Deep Learning in Security Revenue by Type (2016-2021) & (USD Million)
    Table 92. South America Deep Learning in Security Revenue by Type (2021-2026) & (USD Million)
    Table 93. South America Deep Learning in Security Revenue by Application (2016-2021) & (USD Million)
    Table 94. South America Deep Learning in Security Revenue by Application (2021-2026) & (USD Million)
    Table 95. South America Deep Learning in Security Revenue by Country (2016-2021) & (USD Million)
    Table 96. South America Deep Learning in Security Revenue by Country (2021-2026) & (USD Million)
    Table 97. Middle East & Africa Deep Learning in Security Revenue by Type (2016-2021) & (USD Million)
    Table 98. Middle East & Africa Deep Learning in Security Revenue by Type (2021-2026) & (USD Million)
    Table 99. Middle East & Africa Deep Learning in Security Revenue by Application (2016-2021) & (USD Million)
    Table 100. Middle East & Africa Deep Learning in Security Revenue by Application (2021-2026) & (USD Million)
    Table 101. Middle East & Africa Deep Learning in Security Revenue by Country (2016-2021) & (USD Million)
    Table 102. Middle East & Africa Deep Learning in Security Revenue by Country (2021-2026) & (USD Million)
List of Figures
    Figure 1. Deep Learning in Security Picture
    Figure 2. Global Deep Learning in Security Revenue Market Share by Type in 2020
    Figure 3. Hardware
    Figure 4. Software
    Figure 5. Service
    Figure 6. Deep Learning in Security Revenue Market Share by Application in 2020
    Figure 7. Identity and Access Management Picture
    Figure 8. Risk and Compliance Management Picture
    Figure 9. Encryption Picture
    Figure 10. Data Loss Prevention Picture
    Figure 11. Unified Threat Management Picture
    Figure 12. Antivirus/Antimalware Picture
    Figure 13. Intrusion Detection/Prevention Systems Picture
    Figure 14. Others (Firewall, Distributed Denial-of-Service (DDoS), Disaster Recovery) Picture
    Figure 15. Global Deep Learning in Security Revenue, (USD Million): 2020 VS 2021 VS 2026
    Figure 16. Global Deep Learning in Security Revenue and Forecast (2016-2026) & (USD Million)
    Figure 17. Global Deep Learning in Security Revenue Market Share by Region (2016-2026)
    Figure 18. Global Deep Learning in Security Revenue Market Share by Region in 2020
    Figure 19. North America Deep Learning in Security Revenue (USD Million) and Growth Rate (2016-2026)
    Figure 20. Europe Deep Learning in Security Revenue (USD Million) and Growth Rate (2016-2026)
    Figure 21. Asia-Pacific Deep Learning in Security Revenue (USD Million) and Growth Rate (2016-2026)
    Figure 22. South America Deep Learning in Security Revenue (USD Million) and Growth Rate (2016-2026)
    Figure 23. Middle East and Africa Deep Learning in Security Revenue (USD Million) and Growth Rate (2016-2026)
    Figure 24. Deep Learning in Security Market Drivers
    Figure 25. Deep Learning in Security Market Restraints
    Figure 26. Deep Learning in Security Market Trends
    Figure 27. NVIDIA (US) Recent Developments and Future Plans
    Figure 28. Intel (US) Recent Developments and Future Plans
    Figure 29. Xilinx (US) Recent Developments and Future Plans
    Figure 30. Samsung Electronics (South Korea) Recent Developments and Future Plans
    Figure 31. Micron Technology (US) Recent Developments and Future Plans
    Figure 32. Qualcomm (US) Recent Developments and Future Plans
    Figure 33. IBM (US) Recent Developments and Future Plans
    Figure 34. Google (US) Recent Developments and Future Plans
    Figure 35. Microsoft (US) Recent Developments and Future Plans
    Figure 36. AWS (US) Recent Developments and Future Plans
    Figure 37. Graphcore (UK) Recent Developments and Future Plans
    Figure 38. Mythic (US) Recent Developments and Future Plans
    Figure 39. Adapteva (US) Recent Developments and Future Plans
    Figure 40. Koniku (US) Recent Developments and Future Plans
    Figure 41. Global Deep Learning in Security Revenue Share by Players in 2020
    Figure 42. Deep Learning in Security Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
    Figure 43. Global Top 3 Players Deep Learning in Security Revenue Market Share in 2020
    Figure 44. Global Top 10 Players Deep Learning in Security Revenue Market Share in 2020
    Figure 45. Key Players Market Share Trend (Top 3 Market Share: 2019 VS 2020 VS 2021)
    Figure 46. Global Deep Learning in Security Revenue Share by Type in 2020
    Figure 47. Global Deep Learning in Security Market Share Forecast by Type (2021-2026)
    Figure 48. Global Deep Learning in Security Revenue Share by Application in 2020
    Figure 49. Global Deep Learning in Security Market Share Forecast by Application (2021-2026)
    Figure 50. North America Deep Learning in Security Sales Market Share by Type (2016-2026)
    Figure 51. North America Deep Learning in Security Sales Market Share by Application (2016-2026)
    Figure 52. North America Deep Learning in Security Revenue Market Share by Country (2016-2026)
    Figure 53. United States Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 54. Canada Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 55. Mexico Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 56. Europe Deep Learning in Security Sales Market Share by Type (2016-2026)
    Figure 57. Europe Deep Learning in Security Sales Market Share by Application (2016-2026)
    Figure 58. Europe Deep Learning in Security Revenue Market Share by Country (2016-2026)
    Figure 59. Germany Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 60. France Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 61. United Kingdom Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 62. Russia Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 63. Italy Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 64. Asia-Pacific Deep Learning in Security Sales Market Share by Type (2016-2026)
    Figure 65. Asia-Pacific Deep Learning in Security Sales Market Share by Application (2016-2026)
    Figure 66. Asia-Pacific Deep Learning in Security Revenue Market Share by Region (2016-2026)
    Figure 67. China Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 68. Japan Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 69. South Korea Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 70. India Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 71. Southeast Asia Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 72. Australia Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 73. South America Deep Learning in Security Sales Market Share by Type (2016-2026)
    Figure 74. South America Deep Learning in Security Sales Market Share by Application (2016-2026)
    Figure 75. South America Deep Learning in Security Revenue Market Share by Country (2016-2026)
    Figure 76. Brazil Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 77. Argentina Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 78. Middle East and Africa Deep Learning in Security Sales Market Share by Type (2016-2026)
    Figure 79. Middle East and Africa Deep Learning in Security Sales Market Share by Application (2016-2026)
    Figure 80. Middle East and Africa Deep Learning in Security Revenue Market Share by Country (2016-2026)
    Figure 81. Turkey Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 82. Saudi Arabia Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 83. UAE Deep Learning in Security Revenue and Growth Rate (2016-2026) & (USD Million)
    Figure 84. Methodology
    Figure 85. Research Process and Data Source

Research Methodology

Client Requirements

Review and analyze client requirements

Discussion of all the project requirements and queries

Flexibility Check

Project Feasibility Analysis

Finalizing tentative research programme

Structuring project proposal with scope, timeline, and costs

Analyzing Market Dynamics

Determination of key drivers, restraints, challenge, and opportunity

Identifies market needs and trends

Market Size Estimation & Forecast

Estimation of historical data based on secondary and primary data

Anticipating market recast by assigning weightage to market forces (drivers, restraints, opportunities)

Freezing historical and forecast market size estimations based on evolution, trends, outlook, and strategies

Consideration of geography, region-specific product/service demand for region segments

Consideration of product utilization rates, product demand outlook for segments by application or end-user.

Data Source

Secondary Source
Data collections from annual reports, presentations,associations, journals, analyst reports, paid database, press releases, blogs, newsletters,and GIR repositories.

Primary Source
Research discussion with manufacturers, distributors, suppliers, end user, industry experts to verify insights.

Validation and
triangulation of
secondary and primary source.

Collection of data

Cumulating and collating the essential qualitative and quantitative data

Generation of report in client requested format by research analysts

Reviews by expert analysts

Final quality check

Clarifying queries

Receiving feedback

Ensuring satisfaction

01 Identification of data

This step involves identification of several primary and secondary data research sources, including Global Info Research's internal data sources. The primary sources consist of in-depth discussions and interviews with policy makers, industry experts, and data evaluators, whereas secondary sources include a thorough study of market journals, press releases, annual reports, and government and non-government agencies websites.
02 Evaluation of Market Dynamic

This phase includes a detailed evaluation of several factors that are likely to affect the market dynamics. It involves a comprehensive assessment of major market pain points, drivers, and trends. It also comprises a detailed study of research plans and methodology.
03 Collection of Data

This process consists of gathering data, accessing proprietary databases, and reaching out to key industry participants that operate in the market across the value chain. It also involves studying several patterns in the historical data and comparing it with the current scenario.
04 Collaboration of Data

This stage involves the validation of data and arrival at actual statistics, and evolution of the market over the years. It entails the study and analyzes various segments and verticals of the market. An impact analysis is also performed to observe which factors will affect the market in the next few years.
05 Verification and Analysis

This is the final stage, which involves both quantity and quality checks. Although the process of data verification is an integral part of the research process, all data points and statistics and figures are re-checked to uphold their authenticity and validity.

Companies Mentioned

NVIDIA (US)
Intel (US)
Xilinx (US)
Samsung Electronics (South Korea)
Micron Technology (US)
Qualcomm (US)
IBM (US)
Google (US)
Microsoft (US)
AWS (US)
Graphcore (UK)
Mythic (US)
Adapteva (US)
Koniku (US)

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