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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1527323

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1527323

Global Deception Technology Market Size study, by Offering, by Deception Stack, by Enterprise Size, by Industry Vertical and Regional Forecasts 2022-2032

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Global Deception Technology Market is valued at approximately USD 2.38 billion in 2023 and is anticipated to grow with a healthy growth rate of more than 12.28% over the forecast period 2024-2032. Deception technology is a sophisticated cybersecurity defense mechanism designed to mislead attackers by deploying a network of traps and decoys that mimic authentic system assets. When an intruder interacts with a decoy, the server logs and monitors the attack vectors used, thus providing valuable intelligence on the intruder's tactics.

The Global Deception Technology Market is driven by increasing prevalence of advanced persistent threats (APTs) and zero-day attacks necessitates the deployment of effective early detection solutions, thereby propelling the growth of the deception technology market. Furthermore, the rising adoption of Bring Your Own Device (BYOD) and Internet of Things (IoT) trends within enterprises significantly contributes to the market's expansion. Moreover, the integration of deception technology in virtual environments and growing adoption of cloud services is anticipated to create lucrative opportunities for market expansion during the forecast period. However, the extensive use of traditional honeypots and the inherent complexities of device security hinder market growth.

The key regions considered for the Global Deception Technology Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North American region dominated the deception technology market and this trend is expected to continue throughout the forecast period. This dominance is attributed to the presence of major players offering advanced solutions and substantial investments in cybersecurity technologies. Furthermore, the Asia-Pacific region is expected to witness significant growth owing to the increasing awareness of deception technology among enterprises adopting cloud services.

Major market player included in this report are:

  • vArmour
  • Minerva Labs
  • CYBERTRAP Software GmbH
  • Smokescreen Technologies, Inc.
  • Illusive Networks
  • Fidelis Cybersecurity
  • PacketViper
  • Rapid7
  • Allure Security Technology, Inc.
  • LogRhythm, Inc.
  • Guardicore Ltd
  • CounterCraft

The detailed segments and sub-segment of the market are explained below:

By Offering

  • Solution
  • Service

By Deception Stack

  • Network Security
  • Endpoint Security
  • Application Security

By Enterprise Size

  • Large Enterprises
  • SMEs

By Industry Vertical

  • BFSI
  • Government and Defense
  • Retail and E-commerce
  • Healthcare
  • IT and Telecom
  • Energy and Utilities
  • Manufacturing
  • Education
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • RoLA
  • Middle East & Africa
  • Saudi Arabia
  • South Africa
  • RoMEA

Years considered for the study are as follows:

  • Historical year - 2021
  • Base year - 2022
  • Forecast period - 2023 to 2032

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2022 to 2032.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market

Table of Contents

Chapter 1. Global Deception Technology Market Executive Summary

  • 1.1. Global Deception Technology Market Size & Forecast (2022- 2032)
  • 1.2. Regional Summary
  • 1.3. Segmental Summary
    • 1.3.1. By Offering
    • 1.3.2. By Deception Stack
    • 1.3.3. By Enterprise Size
    • 1.3.4. By Industry Vertical
  • 1.4. Key Trends
  • 1.5. Recession Impact
  • 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Deception Technology Market Definition and Research Assumptions

  • 2.1. Research Objective
  • 2.2. Market Definition
  • 2.3. Research Assumptions
    • 2.3.1. Inclusion & Exclusion
    • 2.3.2. Limitations
    • 2.3.3. Supply Side Analysis
      • 2.3.3.1. Availability
      • 2.3.3.2. Infrastructure
      • 2.3.3.3. Regulatory Environment
      • 2.3.3.4. Market Competition
      • 2.3.3.5. Economic Viability (Consumer's Perspective)
    • 2.3.4. Demand Side Analysis
      • 2.3.4.1. Regulatory frameworks
      • 2.3.4.2. Technological Advancements
      • 2.3.4.3. Environmental Considerations
      • 2.3.4.4. Consumer Awareness & Acceptance
  • 2.4. Estimation Methodology
  • 2.5. Years Considered for the Study
  • 2.6. Currency Conversion Rates

Chapter 3. Global Deception Technology Market Dynamics

  • 3.1. Market Drivers
    • 3.1.1. Increasing Prevalence of Advanced Persistent Threats (APTs) and Zero-Day Attacks
    • 3.1.2. Rising Adoption of BYOD and IoT Trends
  • 3.2. Market Challenges
    • 3.2.1. Extensive Use of Traditional Honeypots
    • 3.2.2. Complexities in Device Security
  • 3.3. Market Opportunities
    • 3.3.1. Integration of Deception Technology in Virtual Environments
    • 3.3.2. Growing adoption of cloud services

Chapter 4. Global Deception Technology Market Industry Analysis

  • 4.1. Porter's 5 Force Model
    • 4.1.1. Bargaining Power of Suppliers
    • 4.1.2. Bargaining Power of Buyers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
    • 4.1.6. Futuristic Approach to Porter's 5 Force Model
    • 4.1.7. Porter's 5 Force Impact Analysis
  • 4.2. PESTEL Analysis
    • 4.2.1. Political
    • 4.2.2. Economical
    • 4.2.3. Social
    • 4.2.4. Technological
    • 4.2.5. Environmental
    • 4.2.6. Legal
  • 4.3. Top investment opportunity
  • 4.4. Top winning strategies
  • 4.5. Disruptive Trends
  • 4.6. Industry Expert Perspective
  • 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Deception Technology Market Size & Forecasts by Offering 2022-2032

  • 5.1. Segment Dashboard
  • 5.2. Global Deception Technology Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 5.2.1. Solution
    • 5.2.2. Service

Chapter 6. Global Deception Technology Market Size & Forecasts by Deception Stack 2022-2032

  • 6.1. Segment Dashboard
  • 6.2. Global Deception Technology Market: Deception Stack Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 6.2.1. Network Security
    • 6.2.2. Endpoint Security
    • 6.2.3. Application Security

Chapter 7. Global Deception Technology Market Size & Forecasts by Enterprise Size 2022-2032

  • 7.1. Segment Dashboard
  • 7.2. Global Deception Technology Market: Enterprise Size Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 7.2.1. Large Enterprises
    • 7.2.2. SMEs

Chapter 8. Global Deception Technology Market Size & Forecasts by Industry Vertical 2022-2032

  • 8.1. Segment Dashboard
  • 8.2. Global Deception Technology Market: Industry Vertical Revenue Trend Analysis, 2022 & 2032 (USD Billion)
    • 8.2.1. BFSI
    • 8.2.2. Government and Defense
    • 8.2.3. Retail and E-commerce
    • 8.2.4. Healthcare
    • 8.2.5. IT and Telecom
    • 8.2.6. Energy and Utilities
    • 8.2.7. Manufacturing
    • 8.2.8. Education
    • 8.2.9. Others

Chapter 9. Global Deception Technology Market Size & Forecasts by Region 2022-2032

  • 9.1. North America Deception Technology Market
    • 9.1.1. U.S. Deception Technology Market
      • 9.1.1.1. Offering breakdown size & forecasts, 2022-2032
      • 9.1.1.2. Deception Stack breakdown size & forecasts, 2022-2032
      • 9.1.1.3. Enterprise Size breakdown size & forecasts, 2022-2032
      • 9.1.1.4. Industry Vertical breakdown size & forecasts, 2022-2032
    • 9.1.2. Canada Deception Technology Market
  • 9.2. Europe Deception Technology Market
    • 9.2.1. U.K. Deception Technology Market
    • 9.2.2. Germany Deception Technology Market
    • 9.2.3. France Deception Technology Market
    • 9.2.4. Spain Deception Technology Market
    • 9.2.5. Italy Deception Technology Market
    • 9.2.6. Rest of Europe Deception Technology Market
  • 9.3. Asia-Pacific Deception Technology Market
    • 9.3.1. China Deception Technology Market
    • 9.3.2. India Deception Technology Market
    • 9.3.3. Japan Deception Technology Market
    • 9.3.4. Australia Deception Technology Market
    • 9.3.5. South Korea Deception Technology Market
    • 9.3.6. Rest of Asia Pacific Deception Technology Market
  • 9.4. Latin America Deception Technology Market
    • 9.4.1. Brazil Deception Technology Market
    • 9.4.2. Mexico Deception Technology Market
    • 9.4.3. Rest of Latin America Deception Technology Market
  • 9.5. Middle East & Africa Deception Technology Market
    • 9.5.1. Saudi Arabia Deception Technology Market
    • 9.5.2. South Africa Deception Technology Market
    • 9.5.3. Rest of Middle East & Africa Deception Technology Market

Chapter 10. Competitive Intelligence

  • 10.1. Key Company SWOT Analysis
  • 10.2. Top Market Strategies
  • 10.3. Company Profiles
    • 10.3.1. vArmour
      • 10.3.1.1. Key Information
      • 10.3.1.2. Overview
      • 10.3.1.3. Financial (Subject to Data Availability)
      • 10.3.1.4. Product Summary
      • 10.3.1.5. Market Strategies
    • 10.3.2. Minerva Labs
    • 10.3.3. CYBERTRAP Software GmbH
    • 10.3.4. Smokescreen Technologies, Inc.
    • 10.3.5. Illusive Networks
    • 10.3.6. Fidelis Cybersecurity
    • 10.3.7. PacketViper
    • 10.3.8. Rapid7
    • 10.3.9. Allure Security Technology, Inc.
    • 10.3.10. LogRhythm, Inc.
    • 10.3.11. Guardicore Ltd
    • 10.3.12. CounterCraft

Chapter 11. Research Process

  • 11.1. Research Process
    • 11.1.1. Data Mining
    • 11.1.2. Analysis
    • 11.1.3. Market Estimation
    • 11.1.4. Validation
    • 11.1.5. Publishing
  • 11.2. Research Attributes
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