Deception Technology Global

Deception Technology Comprehensive Study by Application (Application security, Data Security, Endpoint security, Network security), Deployment Model (On-premise, Cloud-based), End User (Government Organizations, Large Enterprises, SMEs) Players and Region - Global Market Outlook to 2028

Deception Technology Market by XX Submarkets | Forecast Years 2023-2028 | CAGR: 12.39%  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
Global Deception Technology Market Overview:
The cybersecurity threats are increasing day by day with the introduction to a number of hacking techniques and virtual tools. It leads to increase the organization expenses in incorporating the losses incurred by hacking attacks. Thus, the demand for deception technology has been increased across the glove to minimize and track the hacking attacks. Deception technology secures the network systems from harmful malware, assists in tracking the actions of the hackers as well as prevent the possible damage which can be caused by unauthorized access to the organizations’ own network. With the growing adoption of IoT enabled and cloud-based applications need of deception technology has been increased over the past couple of years. As per latest study released by AMA Research, the Global Deception Technology market is expected to see growth rate of 12.39% and may see market size of USD2.67 Billion by 2028.

AttributesDetails
Study Period2018-2028
Base Year2022
Forecast Period2023-2028
Historical Period2018-2022
UnitValue (USD Billion)
High Growth MarketNorth America
Customization ScopeAvail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility


Influencing Trend:
Adoption of Advanced Deception Systems Capable of Tracking Hackers and Inclusion of Hacking Technique Tracing and Analytics Tools

Market Growth Drivers:
Rising Instances of Fishing, Key Logger and Zero-Day Attacks and Growing Adoption of Safe and Secure IoT Based Applications

Challenges:
Lack of Expertise in Handling such Complex Software and Growing Usage of Cloud Computing and Virtual Environment which is Prone to Hacking Attacks

Restraints:
Lack of Awareness of About the Cyber Security Tools and Growing Use of Pirated Tools Instead of Paid and Premium Deception Tools

Opportunities:
Escalating Demand for Cyber Security Tools from North American Market and Increasing Need for Protecting Data Centers and Networks

Competitive Landscape:
The global deception technology market is minimally competitive due to lack of awareness about cyber security tools and absence of cyber security regulations. Significant development and adoption of Deception systems has been seen in Israel with the availability of stringent government regulations for favoring anti-hacking tools. In addition to this, its adoption has been increased in the North American Market over the last couple of years.
Some of the key players profiled in the report are GuardiCore Ltd. (Israel), SEC Technologies, s.r.o. (Slovakia), Shape Security Inc. (United States), Attivo Networks, Inc. (United States), TrapX Security, Inc. (United States), LogRhythm Inc. (United States), Allure Security Technology, Inc. (United States), Smokescreen Technologies Pvt. Ltd. (India), Fidelis Cybersecurity (United States) and Cymmetria Inc. (Israel). The Players having a strong hold in the market are GuardiCore Ltd., SEC Technologies, s.r.o., Shape Security Inc., and Attivo Networks, Inc.. Additionally, following companies can also be profiled that are part of our coverage like Illusive Networks (United States), Rapid7 Inc. (United States), Hexis Cyber Solutions, Inc. (United States), Percipient Networks (United States), ForeScout Technologies Inc. (United States) and Shadow Networks (Acalvio Technologies, Inc.) (United States). Analyst at AMA Research see United States and European Players to retain maximum share of Global Deception Technology market by 2028. Considering Market by Deployment Model, the sub-segment i.e. On-premise will boost the Deception Technology market. Considering Market by End User, the sub-segment i.e. Government Organizations will boost the Deception Technology market.

Latest Market Insights:
On November 14th, 2023, Darktrace announced the acquisition of Cybersponse, a startup specializing in SaaS deception platforms. This acquisition will expand Darktrace's deception capabilities and offer its customers more comprehensive protection against cyberattacks.

On October 27th, 2023, Verodin announced the release of Verodin Cloud, a cloud-based version of its deception platform. Verodin Cloud will make it easier for organizations to deploy and manage deception technology.

What Can be Explored with the Deception Technology Market Study
 Gain Market Understanding
 Identify Growth Opportunities
 Analyze and Measure the Global Deception Technology Market by Identifying Investment across various Industry Verticals
 Understand the Trends that will drive Future Changes in Deception Technology
 Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals

Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Deception Technology market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Deception Technology market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes Deception Technology Providers, Cyber Security Industry Associations, Government Regulators, IoT and Cloud-Based Solution Providers and Others.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.

Report Objectives / Segmentation Covered

By Application
  • Application security
  • Data Security
  • Endpoint security
  • Network security
By Deployment Model
  • On-premise
  • Cloud-based

By End User
  • Government Organizations
  • Large Enterprises
  • SMEs

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Taiwan
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Rising Instances of Fishing, Key Logger and Zero-Day Attacks
      • 3.2.2. Growing Adoption of Safe and Secure IoT Based Applications
    • 3.3. Market Challenges
      • 3.3.1. Lack of Expertise in Handling such Complex Software
      • 3.3.2. Growing Usage of Cloud Computing and Virtual Environment which is Prone to Hacking Attacks
    • 3.4. Market Trends
      • 3.4.1. Adoption of Advanced Deception Systems Capable of Tracking Hackers
      • 3.4.2. Inclusion of Hacking Technique Tracing and Analytics Tools
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Deception Technology, by Application, Deployment Model, End User and Region (value) (2017-2022)
    • 5.1. Introduction
    • 5.2. Global Deception Technology (Value)
      • 5.2.1. Global Deception Technology by: Application (Value)
        • 5.2.1.1. Application security
        • 5.2.1.2. Data Security
        • 5.2.1.3. Endpoint security
        • 5.2.1.4. Network security
      • 5.2.2. Global Deception Technology by: Deployment Model (Value)
        • 5.2.2.1. On-premise
        • 5.2.2.2. Cloud-based
      • 5.2.3. Global Deception Technology by: End User (Value)
        • 5.2.3.1. Government Organizations
        • 5.2.3.2. Large Enterprises
        • 5.2.3.3. SMEs
      • 5.2.4. Global Deception Technology Region
        • 5.2.4.1. South America
          • 5.2.4.1.1. Brazil
          • 5.2.4.1.2. Argentina
          • 5.2.4.1.3. Rest of South America
        • 5.2.4.2. Asia Pacific
          • 5.2.4.2.1. China
          • 5.2.4.2.2. Japan
          • 5.2.4.2.3. India
          • 5.2.4.2.4. South Korea
          • 5.2.4.2.5. Taiwan
          • 5.2.4.2.6. Australia
          • 5.2.4.2.7. Rest of Asia-Pacific
        • 5.2.4.3. Europe
          • 5.2.4.3.1. Germany
          • 5.2.4.3.2. France
          • 5.2.4.3.3. Italy
          • 5.2.4.3.4. United Kingdom
          • 5.2.4.3.5. Netherlands
          • 5.2.4.3.6. Rest of Europe
        • 5.2.4.4. MEA
          • 5.2.4.4.1. Middle East
          • 5.2.4.4.2. Africa
        • 5.2.4.5. North America
          • 5.2.4.5.1. United States
          • 5.2.4.5.2. Canada
          • 5.2.4.5.3. Mexico
  • 6. Deception Technology: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2022)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. GuardiCore Ltd. (Israel)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. SEC Technologies, s.r.o. (Slovakia)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Shape Security Inc. (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Attivo Networks, Inc. (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. TrapX Security, Inc. (United States)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. LogRhythm Inc. (United States)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Allure Security Technology, Inc. (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Smokescreen Technologies Pvt. Ltd. (India)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Fidelis Cybersecurity (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Cymmetria Inc. (Israel)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Deception Technology Sale, by Application, Deployment Model, End User and Region (value) (2023-2028)
    • 7.1. Introduction
    • 7.2. Global Deception Technology (Value)
      • 7.2.1. Global Deception Technology by: Application (Value)
        • 7.2.1.1. Application security
        • 7.2.1.2. Data Security
        • 7.2.1.3. Endpoint security
        • 7.2.1.4. Network security
      • 7.2.2. Global Deception Technology by: Deployment Model (Value)
        • 7.2.2.1. On-premise
        • 7.2.2.2. Cloud-based
      • 7.2.3. Global Deception Technology by: End User (Value)
        • 7.2.3.1. Government Organizations
        • 7.2.3.2. Large Enterprises
        • 7.2.3.3. SMEs
      • 7.2.4. Global Deception Technology Region
        • 7.2.4.1. South America
          • 7.2.4.1.1. Brazil
          • 7.2.4.1.2. Argentina
          • 7.2.4.1.3. Rest of South America
        • 7.2.4.2. Asia Pacific
          • 7.2.4.2.1. China
          • 7.2.4.2.2. Japan
          • 7.2.4.2.3. India
          • 7.2.4.2.4. South Korea
          • 7.2.4.2.5. Taiwan
          • 7.2.4.2.6. Australia
          • 7.2.4.2.7. Rest of Asia-Pacific
        • 7.2.4.3. Europe
          • 7.2.4.3.1. Germany
          • 7.2.4.3.2. France
          • 7.2.4.3.3. Italy
          • 7.2.4.3.4. United Kingdom
          • 7.2.4.3.5. Netherlands
          • 7.2.4.3.6. Rest of Europe
        • 7.2.4.4. MEA
          • 7.2.4.4.1. Middle East
          • 7.2.4.4.2. Africa
        • 7.2.4.5. North America
          • 7.2.4.5.1. United States
          • 7.2.4.5.2. Canada
          • 7.2.4.5.3. Mexico
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Deception Technology: by Application(USD Billion)
  • Table 2. Deception Technology Application security , by Region USD Billion (2017-2022)
  • Table 3. Deception Technology Data Security , by Region USD Billion (2017-2022)
  • Table 4. Deception Technology Endpoint security , by Region USD Billion (2017-2022)
  • Table 5. Deception Technology Network security , by Region USD Billion (2017-2022)
  • Table 6. Deception Technology: by Deployment Model(USD Billion)
  • Table 7. Deception Technology On-premise , by Region USD Billion (2017-2022)
  • Table 8. Deception Technology Cloud-based , by Region USD Billion (2017-2022)
  • Table 9. Deception Technology: by End User(USD Billion)
  • Table 10. Deception Technology Government Organizations , by Region USD Billion (2017-2022)
  • Table 11. Deception Technology Large Enterprises , by Region USD Billion (2017-2022)
  • Table 12. Deception Technology SMEs , by Region USD Billion (2017-2022)
  • Table 13. South America Deception Technology, by Country USD Billion (2017-2022)
  • Table 14. South America Deception Technology, by Application USD Billion (2017-2022)
  • Table 15. South America Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 16. South America Deception Technology, by End User USD Billion (2017-2022)
  • Table 17. Brazil Deception Technology, by Application USD Billion (2017-2022)
  • Table 18. Brazil Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 19. Brazil Deception Technology, by End User USD Billion (2017-2022)
  • Table 20. Argentina Deception Technology, by Application USD Billion (2017-2022)
  • Table 21. Argentina Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 22. Argentina Deception Technology, by End User USD Billion (2017-2022)
  • Table 23. Rest of South America Deception Technology, by Application USD Billion (2017-2022)
  • Table 24. Rest of South America Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 25. Rest of South America Deception Technology, by End User USD Billion (2017-2022)
  • Table 26. Asia Pacific Deception Technology, by Country USD Billion (2017-2022)
  • Table 27. Asia Pacific Deception Technology, by Application USD Billion (2017-2022)
  • Table 28. Asia Pacific Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 29. Asia Pacific Deception Technology, by End User USD Billion (2017-2022)
  • Table 30. China Deception Technology, by Application USD Billion (2017-2022)
  • Table 31. China Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 32. China Deception Technology, by End User USD Billion (2017-2022)
  • Table 33. Japan Deception Technology, by Application USD Billion (2017-2022)
  • Table 34. Japan Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 35. Japan Deception Technology, by End User USD Billion (2017-2022)
  • Table 36. India Deception Technology, by Application USD Billion (2017-2022)
  • Table 37. India Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 38. India Deception Technology, by End User USD Billion (2017-2022)
  • Table 39. South Korea Deception Technology, by Application USD Billion (2017-2022)
  • Table 40. South Korea Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 41. South Korea Deception Technology, by End User USD Billion (2017-2022)
  • Table 42. Taiwan Deception Technology, by Application USD Billion (2017-2022)
  • Table 43. Taiwan Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 44. Taiwan Deception Technology, by End User USD Billion (2017-2022)
  • Table 45. Australia Deception Technology, by Application USD Billion (2017-2022)
  • Table 46. Australia Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 47. Australia Deception Technology, by End User USD Billion (2017-2022)
  • Table 48. Rest of Asia-Pacific Deception Technology, by Application USD Billion (2017-2022)
  • Table 49. Rest of Asia-Pacific Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 50. Rest of Asia-Pacific Deception Technology, by End User USD Billion (2017-2022)
  • Table 51. Europe Deception Technology, by Country USD Billion (2017-2022)
  • Table 52. Europe Deception Technology, by Application USD Billion (2017-2022)
  • Table 53. Europe Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 54. Europe Deception Technology, by End User USD Billion (2017-2022)
  • Table 55. Germany Deception Technology, by Application USD Billion (2017-2022)
  • Table 56. Germany Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 57. Germany Deception Technology, by End User USD Billion (2017-2022)
  • Table 58. France Deception Technology, by Application USD Billion (2017-2022)
  • Table 59. France Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 60. France Deception Technology, by End User USD Billion (2017-2022)
  • Table 61. Italy Deception Technology, by Application USD Billion (2017-2022)
  • Table 62. Italy Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 63. Italy Deception Technology, by End User USD Billion (2017-2022)
  • Table 64. United Kingdom Deception Technology, by Application USD Billion (2017-2022)
  • Table 65. United Kingdom Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 66. United Kingdom Deception Technology, by End User USD Billion (2017-2022)
  • Table 67. Netherlands Deception Technology, by Application USD Billion (2017-2022)
  • Table 68. Netherlands Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 69. Netherlands Deception Technology, by End User USD Billion (2017-2022)
  • Table 70. Rest of Europe Deception Technology, by Application USD Billion (2017-2022)
  • Table 71. Rest of Europe Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 72. Rest of Europe Deception Technology, by End User USD Billion (2017-2022)
  • Table 73. MEA Deception Technology, by Country USD Billion (2017-2022)
  • Table 74. MEA Deception Technology, by Application USD Billion (2017-2022)
  • Table 75. MEA Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 76. MEA Deception Technology, by End User USD Billion (2017-2022)
  • Table 77. Middle East Deception Technology, by Application USD Billion (2017-2022)
  • Table 78. Middle East Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 79. Middle East Deception Technology, by End User USD Billion (2017-2022)
  • Table 80. Africa Deception Technology, by Application USD Billion (2017-2022)
  • Table 81. Africa Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 82. Africa Deception Technology, by End User USD Billion (2017-2022)
  • Table 83. North America Deception Technology, by Country USD Billion (2017-2022)
  • Table 84. North America Deception Technology, by Application USD Billion (2017-2022)
  • Table 85. North America Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 86. North America Deception Technology, by End User USD Billion (2017-2022)
  • Table 87. United States Deception Technology, by Application USD Billion (2017-2022)
  • Table 88. United States Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 89. United States Deception Technology, by End User USD Billion (2017-2022)
  • Table 90. Canada Deception Technology, by Application USD Billion (2017-2022)
  • Table 91. Canada Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 92. Canada Deception Technology, by End User USD Billion (2017-2022)
  • Table 93. Mexico Deception Technology, by Application USD Billion (2017-2022)
  • Table 94. Mexico Deception Technology, by Deployment Model USD Billion (2017-2022)
  • Table 95. Mexico Deception Technology, by End User USD Billion (2017-2022)
  • Table 96. Company Basic Information, Sales Area and Its Competitors
  • Table 97. Company Basic Information, Sales Area and Its Competitors
  • Table 98. Company Basic Information, Sales Area and Its Competitors
  • Table 99. Company Basic Information, Sales Area and Its Competitors
  • Table 100. Company Basic Information, Sales Area and Its Competitors
  • Table 101. Company Basic Information, Sales Area and Its Competitors
  • Table 102. Company Basic Information, Sales Area and Its Competitors
  • Table 103. Company Basic Information, Sales Area and Its Competitors
  • Table 104. Company Basic Information, Sales Area and Its Competitors
  • Table 105. Company Basic Information, Sales Area and Its Competitors
  • Table 106. Deception Technology: by Application(USD Billion)
  • Table 107. Deception Technology Application security , by Region USD Billion (2023-2028)
  • Table 108. Deception Technology Data Security , by Region USD Billion (2023-2028)
  • Table 109. Deception Technology Endpoint security , by Region USD Billion (2023-2028)
  • Table 110. Deception Technology Network security , by Region USD Billion (2023-2028)
  • Table 111. Deception Technology: by Deployment Model(USD Billion)
  • Table 112. Deception Technology On-premise , by Region USD Billion (2023-2028)
  • Table 113. Deception Technology Cloud-based , by Region USD Billion (2023-2028)
  • Table 114. Deception Technology: by End User(USD Billion)
  • Table 115. Deception Technology Government Organizations , by Region USD Billion (2023-2028)
  • Table 116. Deception Technology Large Enterprises , by Region USD Billion (2023-2028)
  • Table 117. Deception Technology SMEs , by Region USD Billion (2023-2028)
  • Table 118. South America Deception Technology, by Country USD Billion (2023-2028)
  • Table 119. South America Deception Technology, by Application USD Billion (2023-2028)
  • Table 120. South America Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 121. South America Deception Technology, by End User USD Billion (2023-2028)
  • Table 122. Brazil Deception Technology, by Application USD Billion (2023-2028)
  • Table 123. Brazil Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 124. Brazil Deception Technology, by End User USD Billion (2023-2028)
  • Table 125. Argentina Deception Technology, by Application USD Billion (2023-2028)
  • Table 126. Argentina Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 127. Argentina Deception Technology, by End User USD Billion (2023-2028)
  • Table 128. Rest of South America Deception Technology, by Application USD Billion (2023-2028)
  • Table 129. Rest of South America Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 130. Rest of South America Deception Technology, by End User USD Billion (2023-2028)
  • Table 131. Asia Pacific Deception Technology, by Country USD Billion (2023-2028)
  • Table 132. Asia Pacific Deception Technology, by Application USD Billion (2023-2028)
  • Table 133. Asia Pacific Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 134. Asia Pacific Deception Technology, by End User USD Billion (2023-2028)
  • Table 135. China Deception Technology, by Application USD Billion (2023-2028)
  • Table 136. China Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 137. China Deception Technology, by End User USD Billion (2023-2028)
  • Table 138. Japan Deception Technology, by Application USD Billion (2023-2028)
  • Table 139. Japan Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 140. Japan Deception Technology, by End User USD Billion (2023-2028)
  • Table 141. India Deception Technology, by Application USD Billion (2023-2028)
  • Table 142. India Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 143. India Deception Technology, by End User USD Billion (2023-2028)
  • Table 144. South Korea Deception Technology, by Application USD Billion (2023-2028)
  • Table 145. South Korea Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 146. South Korea Deception Technology, by End User USD Billion (2023-2028)
  • Table 147. Taiwan Deception Technology, by Application USD Billion (2023-2028)
  • Table 148. Taiwan Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 149. Taiwan Deception Technology, by End User USD Billion (2023-2028)
  • Table 150. Australia Deception Technology, by Application USD Billion (2023-2028)
  • Table 151. Australia Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 152. Australia Deception Technology, by End User USD Billion (2023-2028)
  • Table 153. Rest of Asia-Pacific Deception Technology, by Application USD Billion (2023-2028)
  • Table 154. Rest of Asia-Pacific Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 155. Rest of Asia-Pacific Deception Technology, by End User USD Billion (2023-2028)
  • Table 156. Europe Deception Technology, by Country USD Billion (2023-2028)
  • Table 157. Europe Deception Technology, by Application USD Billion (2023-2028)
  • Table 158. Europe Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 159. Europe Deception Technology, by End User USD Billion (2023-2028)
  • Table 160. Germany Deception Technology, by Application USD Billion (2023-2028)
  • Table 161. Germany Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 162. Germany Deception Technology, by End User USD Billion (2023-2028)
  • Table 163. France Deception Technology, by Application USD Billion (2023-2028)
  • Table 164. France Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 165. France Deception Technology, by End User USD Billion (2023-2028)
  • Table 166. Italy Deception Technology, by Application USD Billion (2023-2028)
  • Table 167. Italy Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 168. Italy Deception Technology, by End User USD Billion (2023-2028)
  • Table 169. United Kingdom Deception Technology, by Application USD Billion (2023-2028)
  • Table 170. United Kingdom Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 171. United Kingdom Deception Technology, by End User USD Billion (2023-2028)
  • Table 172. Netherlands Deception Technology, by Application USD Billion (2023-2028)
  • Table 173. Netherlands Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 174. Netherlands Deception Technology, by End User USD Billion (2023-2028)
  • Table 175. Rest of Europe Deception Technology, by Application USD Billion (2023-2028)
  • Table 176. Rest of Europe Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 177. Rest of Europe Deception Technology, by End User USD Billion (2023-2028)
  • Table 178. MEA Deception Technology, by Country USD Billion (2023-2028)
  • Table 179. MEA Deception Technology, by Application USD Billion (2023-2028)
  • Table 180. MEA Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 181. MEA Deception Technology, by End User USD Billion (2023-2028)
  • Table 182. Middle East Deception Technology, by Application USD Billion (2023-2028)
  • Table 183. Middle East Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 184. Middle East Deception Technology, by End User USD Billion (2023-2028)
  • Table 185. Africa Deception Technology, by Application USD Billion (2023-2028)
  • Table 186. Africa Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 187. Africa Deception Technology, by End User USD Billion (2023-2028)
  • Table 188. North America Deception Technology, by Country USD Billion (2023-2028)
  • Table 189. North America Deception Technology, by Application USD Billion (2023-2028)
  • Table 190. North America Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 191. North America Deception Technology, by End User USD Billion (2023-2028)
  • Table 192. United States Deception Technology, by Application USD Billion (2023-2028)
  • Table 193. United States Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 194. United States Deception Technology, by End User USD Billion (2023-2028)
  • Table 195. Canada Deception Technology, by Application USD Billion (2023-2028)
  • Table 196. Canada Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 197. Canada Deception Technology, by End User USD Billion (2023-2028)
  • Table 198. Mexico Deception Technology, by Application USD Billion (2023-2028)
  • Table 199. Mexico Deception Technology, by Deployment Model USD Billion (2023-2028)
  • Table 200. Mexico Deception Technology, by End User USD Billion (2023-2028)
  • Table 201. Research Programs/Design for This Report
  • Table 202. Key Data Information from Secondary Sources
  • Table 203. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Deception Technology: by Application USD Billion (2017-2022)
  • Figure 5. Global Deception Technology: by Deployment Model USD Billion (2017-2022)
  • Figure 6. Global Deception Technology: by End User USD Billion (2017-2022)
  • Figure 7. South America Deception Technology Share (%), by Country
  • Figure 8. Asia Pacific Deception Technology Share (%), by Country
  • Figure 9. Europe Deception Technology Share (%), by Country
  • Figure 10. MEA Deception Technology Share (%), by Country
  • Figure 11. North America Deception Technology Share (%), by Country
  • Figure 12. Global Deception Technology share by Players 2022 (%)
  • Figure 13. Global Deception Technology share by Players (Top 3) 2022(%)
  • Figure 14. Global Deception Technology share by Players (Top 5) 2022(%)
  • Figure 15. BCG Matrix for key Companies
  • Figure 16. GuardiCore Ltd. (Israel) Revenue, Net Income and Gross profit
  • Figure 17. GuardiCore Ltd. (Israel) Revenue: by Geography 2022
  • Figure 18. SEC Technologies, s.r.o. (Slovakia) Revenue, Net Income and Gross profit
  • Figure 19. SEC Technologies, s.r.o. (Slovakia) Revenue: by Geography 2022
  • Figure 20. Shape Security Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 21. Shape Security Inc. (United States) Revenue: by Geography 2022
  • Figure 22. Attivo Networks, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 23. Attivo Networks, Inc. (United States) Revenue: by Geography 2022
  • Figure 24. TrapX Security, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 25. TrapX Security, Inc. (United States) Revenue: by Geography 2022
  • Figure 26. LogRhythm Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 27. LogRhythm Inc. (United States) Revenue: by Geography 2022
  • Figure 28. Allure Security Technology, Inc. (United States) Revenue, Net Income and Gross profit
  • Figure 29. Allure Security Technology, Inc. (United States) Revenue: by Geography 2022
  • Figure 30. Smokescreen Technologies Pvt. Ltd. (India) Revenue, Net Income and Gross profit
  • Figure 31. Smokescreen Technologies Pvt. Ltd. (India) Revenue: by Geography 2022
  • Figure 32. Fidelis Cybersecurity (United States) Revenue, Net Income and Gross profit
  • Figure 33. Fidelis Cybersecurity (United States) Revenue: by Geography 2022
  • Figure 34. Cymmetria Inc. (Israel) Revenue, Net Income and Gross profit
  • Figure 35. Cymmetria Inc. (Israel) Revenue: by Geography 2022
  • Figure 36. Global Deception Technology: by Application USD Billion (2023-2028)
  • Figure 37. Global Deception Technology: by Deployment Model USD Billion (2023-2028)
  • Figure 38. Global Deception Technology: by End User USD Billion (2023-2028)
  • Figure 39. South America Deception Technology Share (%), by Country
  • Figure 40. Asia Pacific Deception Technology Share (%), by Country
  • Figure 41. Europe Deception Technology Share (%), by Country
  • Figure 42. MEA Deception Technology Share (%), by Country
  • Figure 43. North America Deception Technology Share (%), by Country
List of companies from research coverage that are profiled in the study
  • GuardiCore Ltd. (Israel)
  • SEC Technologies, s.r.o. (Slovakia)
  • Shape Security Inc. (United States)
  • Attivo Networks, Inc. (United States)
  • TrapX Security, Inc. (United States)
  • LogRhythm Inc. (United States)
  • Allure Security Technology, Inc. (United States)
  • Smokescreen Technologies Pvt. Ltd. (India)
  • Fidelis Cybersecurity (United States)
  • Cymmetria Inc. (Israel)
Additional players considered in the study are as follows:
Illusive Networks (United States) , Rapid7 Inc. (United States) , Hexis Cyber Solutions, Inc. (United States) , Percipient Networks (United States) , ForeScout Technologies Inc. (United States) , Shadow Networks (Acalvio Technologies, Inc.) (United States)
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Dec 2023 200 Pages 53 Tables Base Year: 2022 Coverage: 15+ Companies; 18 Countries

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Frequently Asked Questions (FAQ):

Top performing companies in the Global Deception Technology market are GuardiCore Ltd. (Israel), SEC Technologies, s.r.o. (Slovakia), Shape Security Inc. (United States), Attivo Networks, Inc. (United States), TrapX Security, Inc. (United States), LogRhythm Inc. (United States), Allure Security Technology, Inc. (United States), Smokescreen Technologies Pvt. Ltd. (India), Fidelis Cybersecurity (United States) and Cymmetria Inc. (Israel), to name a few.
"Adoption of Advanced Deception Systems Capable of Tracking Hackers " is seen as one of major influencing trends for Deception Technology Market during projected period 2022-2028.

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