Global Deep Learning in Security Supply, Demand and Key Producers, 2023-2029

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Published Date: 19 Jan 2023

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

Description

The global Deep Learning in Security market size is expected to reach $ million by 2029, rising at a market growth of % CAGR during the forecast period (2023-2029).

Deep learning algorithms are capable of detecting more advanced threats and are not reliant on remembering known signatures and common attack patterns. Instead, they learn the system and can recognize suspicious activities that might indicate the presence of bad actors or malware
This report studies the global Deep Learning in Security demand, key companies, and key regions.

This report is a detailed and comprehensive analysis of the world market for Deep Learning in Security, and provides market size (US$ million) and Year-over-Year (YoY) growth, considering 2022 as the base year. This report explores demand trends and competition, as well as details the characteristics of Deep Learning in Security that contribute to its increasing demand across many markets.

Highlights and key features of the study
Global Deep Learning in Security total market, 2018-2029, (USD Million)
Global Deep Learning in Security total market by region & country, CAGR, 2018-2029, (USD Million)
U.S. VS China: Deep Learning in Security total market, key domestic companies and share, (USD Million)
Global Deep Learning in Security revenue by player and market share 2018-2023, (USD Million)
Global Deep Learning in Security total market by Type, CAGR, 2018-2029, (USD Million)
Global Deep Learning in Security total market by Application, CAGR, 2018-2029, (USD Million)
This reports profiles major players in the global Deep Learning in Security market based on the following parameters – company overview, revenue, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA (US), Intel (US), Xilinx (US), Samsung Electronics (South Korea), Micron Technology (US), Qualcomm (US), IBM (US), Google (US) and Microsoft (US), etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the World Deep Learning in Security market
Detailed Segmentation:
Each section contains quantitative market data including market by value (US$ Millions), by player, by regions, by Type, and by Application. Data is given for the years 2018-2029 by year with 2022 as the base year, 2023 as the estimate year, and 2024-2029 as the forecast year.

Global Deep Learning in Security Market, By Region:
    United States
    China
    Europe
    Japan
    South Korea
    ASEAN
    India
    Rest of World

Global Deep Learning in Security Market, Segmentation by Type
    Hardware
    Software
    Service

Global Deep Learning in Security Market, Segmentation by Application
    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)

Companies Profiled:
    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)

Key Questions Answered
1. How big is the global Deep Learning in Security market?
2. What is the demand of the global Deep Learning in Security market?
3. What is the year over year growth of the global Deep Learning in Security market?
4. What is the total value of the global Deep Learning in Security market?
5. Who are the major players in the global Deep Learning in Security market?
6. What are the growth factors driving the market demand?

Table of Contents

1 Supply Summary
    1.1 Deep Learning in Security Introduction
    1.2 World Deep Learning in Security Market Size & Forecast (2018 & 2022 & 2029)
    1.3 World Deep Learning in Security Total Market by Region (by Headquarter Location)
        1.3.1 World Deep Learning in Security Market Size by Region (2018-2029), (by Headquarter Location)
        1.3.2 United States Deep Learning in Security Market Size (2018-2029)
        1.3.3 China Deep Learning in Security Market Size (2018-2029)
        1.3.4 Europe Deep Learning in Security Market Size (2018-2029)
        1.3.5 Japan Deep Learning in Security Market Size (2018-2029)
        1.3.6 South Korea Deep Learning in Security Market Size (2018-2029)
        1.3.7 ASEAN Deep Learning in Security Market Size (2018-2029)
        1.3.8 India Deep Learning in Security Market Size (2018-2029)
    1.4 Market Drivers, Restraints and Trends
        1.4.1 Deep Learning in Security Market Drivers
        1.4.2 Factors Affecting Demand
        1.4.3 Deep Learning in Security Major Market Trends
    1.5 Influence of COVID-19 and Russia-Ukraine War
        1.5.1 Influence of COVID-19
        1.5.2 Influence of Russia-Ukraine War

2 Demand Summary
    2.1 World Deep Learning in Security Consumption Value (2018-2029)
    2.2 World Deep Learning in Security Consumption Value by Region
        2.2.1 World Deep Learning in Security Consumption Value by Region (2018-2023)
        2.2.2 World Deep Learning in Security Consumption Value Forecast by Region (2024-2029)
    2.3 United States Deep Learning in Security Consumption Value (2018-2029)
    2.4 China Deep Learning in Security Consumption Value (2018-2029)
    2.5 Europe Deep Learning in Security Consumption Value (2018-2029)
    2.6 Japan Deep Learning in Security Consumption Value (2018-2029)
    2.7 South Korea Deep Learning in Security Consumption Value (2018-2029)
    2.8 ASEAN Deep Learning in Security Consumption Value (2018-2029)
    2.9 India Deep Learning in Security Consumption Value (2018-2029)

3 World Deep Learning in Security Companies Competitive Analysis
    3.1 World Deep Learning in Security Revenue by Player (2018-2023)
    3.2 Industry Rank and Concentration Rate (CR)
        3.2.1 Global Deep Learning in Security Industry Rank of Major Players
        3.2.2 Global Concentration Ratios (CR4) for Deep Learning in Security in 2022
        3.2.3 Global Concentration Ratios (CR8) for Deep Learning in Security in 2022
    3.3 Deep Learning in Security Company Evaluation Quadrant
    3.4 Deep Learning in Security Market: Overall Company Footprint Analysis
        3.4.1 Deep Learning in Security Market: Region Footprint
        3.4.2 Deep Learning in Security Market: Company Product Type Footprint
        3.4.3 Deep Learning in Security Market: Company Product Application Footprint
    3.5 Competitive Environment
        3.5.1 Historical Structure of the Industry
        3.5.2 Barriers of Market Entry
        3.5.3 Factors of Competition
    3.6 Mergers, Acquisitions Activity

4 United States VS China VS Rest of the World (by Headquarter Location)
    4.1 United States VS China: Deep Learning in Security Revenue Comparison (by Headquarter Location)
        4.1.1 United States VS China: Deep Learning in Security Market Size Comparison (2018 & 2022 & 2029) (by Headquarter Location)
        4.1.2 United States VS China: Deep Learning in Security Revenue Market Share Comparison (2018 & 2022 & 2029)
    4.2 United States Based Companies VS China Based Companies: Deep Learning in Security Consumption Value Comparison
        4.2.1 United States VS China: Deep Learning in Security Consumption Value Comparison (2018 & 2022 & 2029)
        4.2.2 United States VS China: Deep Learning in Security Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    4.3 United States Based Deep Learning in Security Companies and Market Share, 2018-2023
        4.3.1 United States Based Deep Learning in Security Companies, Headquarters (States, Country)
        4.3.2 United States Based Companies Deep Learning in Security Revenue, (2018-2023)
    4.4 China Based Companies Deep Learning in Security Revenue and Market Share, 2018-2023
        4.4.1 China Based Deep Learning in Security Companies, Company Headquarters (Province, Country)
        4.4.2 China Based Companies Deep Learning in Security Revenue, (2018-2023)
    4.5 Rest of World Based Deep Learning in Security Companies and Market Share, 2018-2023
        4.5.1 Rest of World Based Deep Learning in Security Companies, Headquarters (States, Country)
        4.5.2 Rest of World Based Companies Deep Learning in Security Revenue, (2018-2023)

5 Market Analysis by Type
    5.1 World Deep Learning in Security Market Size Overview by Type: 2018 VS 2022 VS 2029
    5.2 Segment Introduction by Type
        5.2.1 Hardware
        5.2.2 Software
        5.2.3 Service
    5.3 Market Segment by Type
        5.3.1 World Deep Learning in Security Market Size by Type (2018-2023)
        5.3.2 World Deep Learning in Security Market Size by Type (2024-2029)
        5.3.3 World Deep Learning in Security Market Size Market Share by Type (2018-2029)

6 Market Analysis by Application
    6.1 World Deep Learning in Security Market Size Overview by Application: 2018 VS 2022 VS 2029
    6.2 Segment Introduction by Application
        6.2.1 Identity and Access Management
        6.2.2 Risk and Compliance Management
        6.2.3 Encryption
        6.2.4 Data Loss Prevention
        6.2.5 Data Loss Prevention
        6.2.6 Antivirus/Antimalware
        6.2.7 Intrusion Detection/Prevention Systems
        6.2.8 Others (Firewall, Distributed Denial-of-Service (DDoS), Disaster Recovery)
    6.3 Market Segment by Application
        6.3.1 World Deep Learning in Security Market Size by Application (2018-2023)
        6.3.2 World Deep Learning in Security Market Size by Application (2024-2029)
        6.3.3 World Deep Learning in Security Market Size by Application (2018-2029)

7 Company Profiles
    7.1 NVIDIA (US)
        7.1.1 NVIDIA (US) Details
        7.1.2 NVIDIA (US) Major Business
        7.1.3 NVIDIA (US) Deep Learning in Security Product and Services
        7.1.4 NVIDIA (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.1.5 NVIDIA (US) Recent Developments/Updates
        7.1.6 NVIDIA (US) Competitive Strengths & Weaknesses
    7.2 Intel (US)
        7.2.1 Intel (US) Details
        7.2.2 Intel (US) Major Business
        7.2.3 Intel (US) Deep Learning in Security Product and Services
        7.2.4 Intel (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.2.5 Intel (US) Recent Developments/Updates
        7.2.6 Intel (US) Competitive Strengths & Weaknesses
    7.3 Xilinx (US)
        7.3.1 Xilinx (US) Details
        7.3.2 Xilinx (US) Major Business
        7.3.3 Xilinx (US) Deep Learning in Security Product and Services
        7.3.4 Xilinx (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.3.5 Xilinx (US) Recent Developments/Updates
        7.3.6 Xilinx (US) Competitive Strengths & Weaknesses
    7.4 Samsung Electronics (South Korea)
        7.4.1 Samsung Electronics (South Korea) Details
        7.4.2 Samsung Electronics (South Korea) Major Business
        7.4.3 Samsung Electronics (South Korea) Deep Learning in Security Product and Services
        7.4.4 Samsung Electronics (South Korea) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.4.5 Samsung Electronics (South Korea) Recent Developments/Updates
        7.4.6 Samsung Electronics (South Korea) Competitive Strengths & Weaknesses
    7.5 Micron Technology (US)
        7.5.1 Micron Technology (US) Details
        7.5.2 Micron Technology (US) Major Business
        7.5.3 Micron Technology (US) Deep Learning in Security Product and Services
        7.5.4 Micron Technology (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.5.5 Micron Technology (US) Recent Developments/Updates
        7.5.6 Micron Technology (US) Competitive Strengths & Weaknesses
    7.6 Qualcomm (US)
        7.6.1 Qualcomm (US) Details
        7.6.2 Qualcomm (US) Major Business
        7.6.3 Qualcomm (US) Deep Learning in Security Product and Services
        7.6.4 Qualcomm (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.6.5 Qualcomm (US) Recent Developments/Updates
        7.6.6 Qualcomm (US) Competitive Strengths & Weaknesses
    7.7 IBM (US)
        7.7.1 IBM (US) Details
        7.7.2 IBM (US) Major Business
        7.7.3 IBM (US) Deep Learning in Security Product and Services
        7.7.4 IBM (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.7.5 IBM (US) Recent Developments/Updates
        7.7.6 IBM (US) Competitive Strengths & Weaknesses
    7.8 Google (US)
        7.8.1 Google (US) Details
        7.8.2 Google (US) Major Business
        7.8.3 Google (US) Deep Learning in Security Product and Services
        7.8.4 Google (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.8.5 Google (US) Recent Developments/Updates
        7.8.6 Google (US) Competitive Strengths & Weaknesses
    7.9 Microsoft (US)
        7.9.1 Microsoft (US) Details
        7.9.2 Microsoft (US) Major Business
        7.9.3 Microsoft (US) Deep Learning in Security Product and Services
        7.9.4 Microsoft (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.9.5 Microsoft (US) Recent Developments/Updates
        7.9.6 Microsoft (US) Competitive Strengths & Weaknesses
    7.10 AWS (US)
        7.10.1 AWS (US) Details
        7.10.2 AWS (US) Major Business
        7.10.3 AWS (US) Deep Learning in Security Product and Services
        7.10.4 AWS (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.10.5 AWS (US) Recent Developments/Updates
        7.10.6 AWS (US) Competitive Strengths & Weaknesses
    7.11 Graphcore (UK)
        7.11.1 Graphcore (UK) Details
        7.11.2 Graphcore (UK) Major Business
        7.11.3 Graphcore (UK) Deep Learning in Security Product and Services
        7.11.4 Graphcore (UK) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.11.5 Graphcore (UK) Recent Developments/Updates
        7.11.6 Graphcore (UK) Competitive Strengths & Weaknesses
    7.12 Mythic (US)
        7.12.1 Mythic (US) Details
        7.12.2 Mythic (US) Major Business
        7.12.3 Mythic (US) Deep Learning in Security Product and Services
        7.12.4 Mythic (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.12.5 Mythic (US) Recent Developments/Updates
        7.12.6 Mythic (US) Competitive Strengths & Weaknesses
    7.13 Adapteva (US)
        7.13.1 Adapteva (US) Details
        7.13.2 Adapteva (US) Major Business
        7.13.3 Adapteva (US) Deep Learning in Security Product and Services
        7.13.4 Adapteva (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.13.5 Adapteva (US) Recent Developments/Updates
        7.13.6 Adapteva (US) Competitive Strengths & Weaknesses
    7.14 Koniku (US)
        7.14.1 Koniku (US) Details
        7.14.2 Koniku (US) Major Business
        7.14.3 Koniku (US) Deep Learning in Security Product and Services
        7.14.4 Koniku (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023)
        7.14.5 Koniku (US) Recent Developments/Updates
        7.14.6 Koniku (US) Competitive Strengths & Weaknesses

8 Industry Chain Analysis
    8.1 Deep Learning in Security Industry Chain
    8.2 Deep Learning in Security Upstream Analysis
    8.3 Deep Learning in Security Midstream Analysis
    8.4 Deep Learning in Security Downstream Analysis

9 Research Findings and Conclusion

10 Appendix
    10.1 Methodology
    10.2 Research Process and Data Source
    10.3 Disclaimer

Table of Figures

List of Tables
    Table 1. World Deep Learning in Security Revenue by Region (2018, 2022 and 2029) & (USD Million), (by Headquarter Location)
    Table 2. World Deep Learning in Security Revenue by Region (2018-2023) & (USD Million), (by Headquarter Location)
    Table 3. World Deep Learning in Security Revenue by Region (2024-2029) & (USD Million), (by Headquarter Location)
    Table 4. World Deep Learning in Security Revenue Market Share by Region (2018-2023), (by Headquarter Location)
    Table 5. World Deep Learning in Security Revenue Market Share by Region (2024-2029), (by Headquarter Location)
    Table 6. Major Market Trends
    Table 7. World Deep Learning in Security Consumption Value Growth Rate Forecast by Region (2018 & 2022 & 2029) & (USD Million)
    Table 8. World Deep Learning in Security Consumption Value by Region (2018-2023) & (USD Million)
    Table 9. World Deep Learning in Security Consumption Value Forecast by Region (2024-2029) & (USD Million)
    Table 10. World Deep Learning in Security Revenue by Player (2018-2023) & (USD Million)
    Table 11. Revenue Market Share of Key Deep Learning in Security Players in 2022
    Table 12. World Deep Learning in Security Industry Rank of Major Player, Based on Revenue in 2022
    Table 13. Global Deep Learning in Security Company Evaluation Quadrant
    Table 14. Head Office of Key Deep Learning in Security Player
    Table 15. Deep Learning in Security Market: Company Product Type Footprint
    Table 16. Deep Learning in Security Market: Company Product Application Footprint
    Table 17. Deep Learning in Security Mergers & Acquisitions Activity
    Table 18. United States VS China Deep Learning in Security Market Size Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 19. United States VS China Deep Learning in Security Consumption Value Comparison, (2018 & 2022 & 2029) & (USD Million)
    Table 20. United States Based Deep Learning in Security Companies, Headquarters (States, Country)
    Table 21. United States Based Companies Deep Learning in Security Revenue, (2018-2023) & (USD Million)
    Table 22. United States Based Companies Deep Learning in Security Revenue Market Share (2018-2023)
    Table 23. China Based Deep Learning in Security Companies, Headquarters (Province, Country)
    Table 24. China Based Companies Deep Learning in Security Revenue, (2018-2023) & (USD Million)
    Table 25. China Based Companies Deep Learning in Security Revenue Market Share (2018-2023)
    Table 26. Rest of World Based Deep Learning in Security Companies, Headquarters (States, Country)
    Table 27. Rest of World Based Companies Deep Learning in Security Revenue, (2018-2023) & (USD Million)
    Table 28. Rest of World Based Companies Deep Learning in Security Revenue Market Share (2018-2023)
    Table 29. World Deep Learning in Security Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Table 30. World Deep Learning in Security Market Size by Type (2018-2023) & (USD Million)
    Table 31. World Deep Learning in Security Market Size by Type (2024-2029) & (USD Million)
    Table 32. World Deep Learning in Security Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Table 33. World Deep Learning in Security Market Size by Application (2018-2023) & (USD Million)
    Table 34. World Deep Learning in Security Market Size by Application (2024-2029) & (USD Million)
    Table 35. NVIDIA (US) Basic Information, Area Served and Competitors
    Table 36. NVIDIA (US) Major Business
    Table 37. NVIDIA (US) Deep Learning in Security Product and Services
    Table 38. NVIDIA (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 39. NVIDIA (US) Recent Developments/Updates
    Table 40. NVIDIA (US) Competitive Strengths & Weaknesses
    Table 41. Intel (US) Basic Information, Area Served and Competitors
    Table 42. Intel (US) Major Business
    Table 43. Intel (US) Deep Learning in Security Product and Services
    Table 44. Intel (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 45. Intel (US) Recent Developments/Updates
    Table 46. Intel (US) Competitive Strengths & Weaknesses
    Table 47. Xilinx (US) Basic Information, Area Served and Competitors
    Table 48. Xilinx (US) Major Business
    Table 49. Xilinx (US) Deep Learning in Security Product and Services
    Table 50. Xilinx (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 51. Xilinx (US) Recent Developments/Updates
    Table 52. Xilinx (US) Competitive Strengths & Weaknesses
    Table 53. Samsung Electronics (South Korea) Basic Information, Area Served and Competitors
    Table 54. Samsung Electronics (South Korea) Major Business
    Table 55. Samsung Electronics (South Korea) Deep Learning in Security Product and Services
    Table 56. Samsung Electronics (South Korea) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 57. Samsung Electronics (South Korea) Recent Developments/Updates
    Table 58. Samsung Electronics (South Korea) Competitive Strengths & Weaknesses
    Table 59. Micron Technology (US) Basic Information, Area Served and Competitors
    Table 60. Micron Technology (US) Major Business
    Table 61. Micron Technology (US) Deep Learning in Security Product and Services
    Table 62. Micron Technology (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 63. Micron Technology (US) Recent Developments/Updates
    Table 64. Micron Technology (US) Competitive Strengths & Weaknesses
    Table 65. Qualcomm (US) Basic Information, Area Served and Competitors
    Table 66. Qualcomm (US) Major Business
    Table 67. Qualcomm (US) Deep Learning in Security Product and Services
    Table 68. Qualcomm (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 69. Qualcomm (US) Recent Developments/Updates
    Table 70. Qualcomm (US) Competitive Strengths & Weaknesses
    Table 71. IBM (US) Basic Information, Area Served and Competitors
    Table 72. IBM (US) Major Business
    Table 73. IBM (US) Deep Learning in Security Product and Services
    Table 74. IBM (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 75. IBM (US) Recent Developments/Updates
    Table 76. IBM (US) Competitive Strengths & Weaknesses
    Table 77. Google (US) Basic Information, Area Served and Competitors
    Table 78. Google (US) Major Business
    Table 79. Google (US) Deep Learning in Security Product and Services
    Table 80. Google (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 81. Google (US) Recent Developments/Updates
    Table 82. Google (US) Competitive Strengths & Weaknesses
    Table 83. Microsoft (US) Basic Information, Area Served and Competitors
    Table 84. Microsoft (US) Major Business
    Table 85. Microsoft (US) Deep Learning in Security Product and Services
    Table 86. Microsoft (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 87. Microsoft (US) Recent Developments/Updates
    Table 88. Microsoft (US) Competitive Strengths & Weaknesses
    Table 89. AWS (US) Basic Information, Area Served and Competitors
    Table 90. AWS (US) Major Business
    Table 91. AWS (US) Deep Learning in Security Product and Services
    Table 92. AWS (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 93. AWS (US) Recent Developments/Updates
    Table 94. AWS (US) Competitive Strengths & Weaknesses
    Table 95. Graphcore (UK) Basic Information, Area Served and Competitors
    Table 96. Graphcore (UK) Major Business
    Table 97. Graphcore (UK) Deep Learning in Security Product and Services
    Table 98. Graphcore (UK) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 99. Graphcore (UK) Recent Developments/Updates
    Table 100. Graphcore (UK) Competitive Strengths & Weaknesses
    Table 101. Mythic (US) Basic Information, Area Served and Competitors
    Table 102. Mythic (US) Major Business
    Table 103. Mythic (US) Deep Learning in Security Product and Services
    Table 104. Mythic (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 105. Mythic (US) Recent Developments/Updates
    Table 106. Mythic (US) Competitive Strengths & Weaknesses
    Table 107. Adapteva (US) Basic Information, Area Served and Competitors
    Table 108. Adapteva (US) Major Business
    Table 109. Adapteva (US) Deep Learning in Security Product and Services
    Table 110. Adapteva (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 111. Adapteva (US) Recent Developments/Updates
    Table 112. Koniku (US) Basic Information, Area Served and Competitors
    Table 113. Koniku (US) Major Business
    Table 114. Koniku (US) Deep Learning in Security Product and Services
    Table 115. Koniku (US) Deep Learning in Security Revenue, Gross Margin and Market Share (2018-2023) & (USD Million)
    Table 116. Global Key Players of Deep Learning in Security Upstream (Raw Materials)
    Table 117. Deep Learning in Security Typical Customers
List of Figure
    Figure 1. Deep Learning in Security Picture
    Figure 2. World Deep Learning in Security Total Market Size: 2018 & 2022 & 2029, (USD Million)
    Figure 3. World Deep Learning in Security Total Market Size (2018-2029) & (USD Million)
    Figure 4. World Deep Learning in Security Revenue Market Share by Region (2018, 2022 and 2029) & (USD Million) , (by Headquarter Location)
    Figure 5. World Deep Learning in Security Revenue Market Share by Region (2018-2029), (by Headquarter Location)
    Figure 6. United States Based Company Deep Learning in Security Revenue (2018-2029) & (USD Million)
    Figure 7. China Based Company Deep Learning in Security Revenue (2018-2029) & (USD Million)
    Figure 8. Europe Based Company Deep Learning in Security Revenue (2018-2029) & (USD Million)
    Figure 9. Japan Based Company Deep Learning in Security Revenue (2018-2029) & (USD Million)
    Figure 10. South Korea Based Company Deep Learning in Security Revenue (2018-2029) & (USD Million)
    Figure 11. ASEAN Based Company Deep Learning in Security Revenue (2018-2029) & (USD Million)
    Figure 12. India Based Company Deep Learning in Security Revenue (2018-2029) & (USD Million)
    Figure 13. Deep Learning in Security Market Drivers
    Figure 14. Factors Affecting Demand
    Figure 15. World Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 16. World Deep Learning in Security Consumption Value Market Share by Region (2018-2029)
    Figure 17. United States Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 18. China Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 19. Europe Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 20. Japan Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 21. South Korea Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 22. ASEAN Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 23. India Deep Learning in Security Consumption Value (2018-2029) & (USD Million)
    Figure 24. Producer Shipments of Deep Learning in Security by Player Revenue ($MM) and Market Share (%): 2022
    Figure 25. Global Four-firm Concentration Ratios (CR4) for Deep Learning in Security Markets in 2022
    Figure 26. Global Four-firm Concentration Ratios (CR8) for Deep Learning in Security Markets in 2022
    Figure 27. United States VS China: Deep Learning in Security Revenue Market Share Comparison (2018 & 2022 & 2029)
    Figure 28. United States VS China: Deep Learning in Security Consumption Value Market Share Comparison (2018 & 2022 & 2029)
    Figure 29. World Deep Learning in Security Market Size by Type, (USD Million), 2018 & 2022 & 2029
    Figure 30. World Deep Learning in Security Market Size Market Share by Type in 2022
    Figure 31. Hardware
    Figure 32. Software
    Figure 33. Service
    Figure 34. World Deep Learning in Security Market Size Market Share by Type (2018-2029)
    Figure 35. World Deep Learning in Security Market Size by Application, (USD Million), 2018 & 2022 & 2029
    Figure 36. World Deep Learning in Security Market Size Market Share by Application in 2022
    Figure 37. Identity and Access Management
    Figure 38. Risk and Compliance Management
    Figure 39. Encryption
    Figure 40. Data Loss Prevention
    Figure 41. Unified Threat Management
    Figure 42. Antivirus/Antimalware
    Figure 43. Intrusion Detection/Prevention Systems
    Figure 44. Others (Firewall, Distributed Denial-of-Service (DDoS), Disaster Recovery)
    Figure 45. Deep Learning in Security Industrial Chain
    Figure 46. Methodology
    Figure 47. 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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