
AUSTIN, Texas and TOKYO, Feb. 4, 2026 /PRNewswire/ — According to DataM Intelligence, theย Global Deception Technology Marketย is estimated to have reachedย approximately USD 2.4 billion in 2024ย (calculated from a 2022 base of USD 1.9 billion at a CAGR of 12.1%) and is projected to grow toย USD 5.7 billion by 2030, expanding at aย CAGR of 12.1%ย during the forecast period 2025โ2030.

This growth highlights a decisive shift in cybersecurity strategy. As enterprises and governments confront increasingly sophisticated ransomware, zero-day exploits, insider threats, and nation-state attacks,ย reactive security tools are no longer sufficient. Deception technology-designed to mislead, detect, and trap attackers early-has emerged as aย strategic layer of cyber defense, enabling organizations to move from passive monitoring to active threat engagement.
By 2030, deception will not be viewed as an experimental add-on. It will be embedded as aย core capability within modern zero-trust and threat-intelligence architectures.
Why Deception Technology Is Gaining Strategic Importance
The rapid expansion of the deception technology market is driven by three structural changes in the global cyber threat landscape.
- Attackers have become stealthier and more patient. Advanced persistent threats often remain undetected for months, bypassing traditional perimeter defenses. Deception technology shortens dwell time by creating realistic decoys-fake credentials, servers, applications, and data-that immediately expose malicious activity.
- Security teams are overwhelmed by alert fatigue. Conventional security tools generate massive volumes of alerts, many of which are false positives. Deception platforms generateย high-confidence alerts only when attackers interact with decoys, significantly improving signal-to-noise ratio and response efficiency.
- Regulatory and reputational risks are escalating. Data breaches now trigger financial penalties, legal exposure, and long-term brand damage. Deception provides early breach detection, reducing the blast radius and limiting downstream impact.
Together, these factors are pushing deception technology from tactical deployments intoย enterprise-wide cybersecurity roadmaps.
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Market Segmentation Analysis
By Deployment
Cloud-based deception platformsย accounted for approximatelyย 56% of global market value in 2024, equivalent to aroundย USD 1.34 billion.
Cloud deployment is favored for its scalability, faster deployment cycles, and seamless integration with cloud-native security stacks, particularly among digital-first enterprises.
On-premise deploymentsย represent the remainingย 44%, or approximatelyย USD 1.06 billion.
This segment remains critical for government, defense, BFSI, and regulated industries where data residency and internal network deception are essential.
According to DataM Intelligence analysis,ย cloud-based deception will continue to gain share, while on-premise solutions will retain relevance in high-security environments.
By Organization Size
Large enterprisesย dominate the market, accounting for approximatelyย 63% of total revenue, orย USD 1.51 billionย in 2024.
These organizations operate complex hybrid IT environments with large attack surfaces, making deception a cost-effective way to detect lateral movement and insider threats.
Small and medium enterprises (SMEs)ย account for approximatelyย 37%, orย USD 0.89 billion.
SMEs are increasingly adopting deception through managed security offerings as cyberattacks become more automated and indiscriminate.
From a strategic perspective,ย SME adoption is accelerating, driven by ransomware risk and simplified cloud-based deployment models.
By Service
Managed servicesย represent the larger share, accounting for approximatelyย 52% of the market, orย USD 1.25 billionย in 2024.
Organizations increasingly rely on external security providers to deploy, monitor, and optimize deception environments due to skill shortages.
Professional servicesย account for approximatelyย 48%, orย USD 1.15 billion, covering consulting, implementation, customization, and training.
According to DataM Intelligence analysis,ย managed services will outpace professional services growth through 2030 as enterprises seek continuous threat monitoring.
By Deception Stack
Network security deceptionย leads the market with approximatelyย 31% share, orย USD 0.74 billionย in 2024.
Network decoys are effective at detecting reconnaissance and lateral movement across enterprise environments.
Endpoint security deceptionย accounts for approximatelyย 26%, orย USD 0.62 billion, targeting credential theft and malware execution.
Application security deceptionย represents aroundย 22%, orย USD 0.53 billion, increasingly deployed to protect APIs, web applications, and microservices.
By End User
Government and defenseย together represent the largest end-user segment, accounting for approximatelyย 34% of global revenue, orย USD 0.82 billionย in 2024.
National security agencies rely on deception to identify espionage and advanced persistent threats.
BFSIย follows with approximatelyย 21%, orย USD 0.50 billion, driven by fraud prevention and regulatory compliance.
IT and telecomย account for aroundย 18%, orย USD 0.43 billion, protecting large digital infrastructures.
Healthcare and medical organizationsย represent approximatelyย 14%, orย USD 0.34 billion, as ransomware attacks on hospitals intensify.
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Regional Fastest
United States
The United States remains theย largest deception technology market, accounting for approximatelyย 42% of global revenue, orย USD 1.01 billionย in 2024.
This dominance is driven by:
- High cyberattack frequency
- Strong federal and defense cybersecurity budgets
- Early adoption of zero-trust frameworks
- Mature managed security services ecosystem
By 2030, the U.S. market alone is expected to exceedย USD 2.4 billion.
Japan Market Growth & Forecast
- Theย Japan cyber deception / deception technology marketย is expanding as organizations increasingly adopt deception-based cybersecurity measures to detect advanced threats. A recent industry forecast projects the Japan market to grow strongly through the late 2020s, withย significant CAGR driven by heightened awareness of deception solutions and cyber threat sophistication.ย
- Global deception technology remains a fast-growing cybersecurity segment overall, reflecting similar trends in Japan as part of the Asia-Pacific region’s rapid adoption due to rising attack volumes and digital transformation.ย
Policy & Government Initiatives
- Japan is shifting to a moreย proactive cyber defense posture, officially integratingย Active Cyber Defense strategiesย that include deception-oriented tools and AI-driven deception approaches within national cybersecurity policy and strategy frameworks.
- Enhancedย regulatory emphasisย aims to harmonize AI ethics, data privacy, and threat-intelligence sharing, which encourages broader deployment of deception technologies at the enterprise and national level.ย
Deployment Trends & Technology Adoption
- Organizations in Japan are increasinglyย combining AI with deception strategiesย to proactively identify, mislead, and analyze adversaries โ particularly as attackers leverage advanced techniques like social engineering, phishing, and AI-aided exploitation to bypass traditional defenses.ย
- Cloud-oriented and hybrid deception deployments are gaining traction due to their scalability and ability to adapt to evolving network perimeters and remote work environments.
Cyber Threat Landscape Driving Adoption
- A surge in sophisticated attacks (e.g., ransomware and phishing campaigns) against Japanese enterprises has stimulated demand for deception techniques that provideย early breach detection and attacker behavior insights. This is particularly relevant as traditional protections struggle to keep up with AI-driven threats.
Competitive Landscape
The deception technology market is characterized byย specialist security vendors and large cybersecurity platforms integrating deception into broader portfolios.
Illusive Networks Ltdย has been a pioneer in endpoint and credential-based deception, focusing on lateral movement detection.
Attivo Networks Incย built strong presence in identity-centric deception, later integrating into broader cybersecurity platforms.
Rapid7 Incย incorporates deception within its extended detection and response (XDR) ecosystem, supported by annual revenues exceedingย USD 700 million.
Akamai Technologies Incย leverages deception to enhance application and network security across global digital infrastructure.
Broadcom Incย integrates deception capabilities into enterprise security suites as part of its broader software portfolio.
Specialist innovators such asย Acalvio Technologies Inc,ย CounterCraft SL,ย CyberTrap Software GmbH,ย Ridgeback Network Defense Inc, andย NTT Security Limitedย continue to strengthen the ecosystem through innovation and managed offerings.
From a competitive standpoint,ย realism of decoys, integration with SOC workflows, and automation will define leadership through 2030.
What will Define the Market by 2030
Byย 2030, the deception technology market is projected to reachย USD 5.7 billion, driven by:
- Expansion of zero-trust security architectures
- Rising ransomware and insider threats
- Integration with XDR, SIEM, and SOAR platforms
- Increased adoption by SMEs via managed services
According to DataM Intelligence analysis:
- Managed services will dominate deployment
- Network and endpoint deception will lead adoption
- Large enterprises will remain primary buyers
- The U.S. will retain the largest regional share
Byย 2030, deception technology will be viewed as aย foundational layer of cyber defense, not a niche capability.
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Executive Takeaway
For boards and security leaders, deception technology represents aย strategic shift from perimeter defense to adversary-centric security.
Organizations that succeed will be those that:
- Detect attackers early in the kill chain
- Reduce alert fatigue with high-confidence signals
- Integrate deception into zero-trust frameworks
- Align security investments with real attacker behavior
As cyber threats continue to evolve,ย deception technology will define the next generation of proactive, intelligence-driven cybersecurity strategy.
Related Report:
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- Generative AI in Cybersecurity Marketย to Grow from USD 3.76 Billion in 2024 to USD 19.12 Billion by 2032 at a 24.5% CAGR – DataM Intelligence.
- AI in Cybersecurity Marketย to Grow from USD 23.98 Billion in 2024 to USD 90.40 Billion by 2032 at a 19.6% CAGR – DataM Intelligence.
- Defense Cybersecurity Marketย to Grow from USD 22.8 Billion in 2024 to USD 41.5 Billion by 2032 at an 8.1% CAGR – DataM Intelligence.
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SOURCE DataM Intelligence 4 Market Research LLP
