Deception Technology Market Size and Share
Deception Technology Market Analysis by Mordor Intelligence
The deception technology market posted USD 2.41 billion in 2025 and is set to advance at a 13.3% CAGR to USD 4.50 billion by 2030. Rising zero-day exploits, AI-driven deepfake fraud, and cloud-native workload expansion compel security teams to adopt early-warning controls that spot attackers inside the network before damage occurs. Vendors now weave decoys into zero-trust micro-segmentation, giving defenders tripwires that work even when identities or endpoints are compromised. Demand also accelerates because cyber-insurance carriers require proactive lateral-movement detection as a condition for favorable premiums. Although North America keeps spending leadership, the deception technology market gains rapid momentum in Asia-Pacific as multicloud adoption surges and local regulators tighten breach-notification rules.
Key Report Takeaways
- By deployment, on-premises models led with 67.9% of deception technology market share in 2024, while cloud implementation records the fastest 15.2% CAGR through 2030.
- By organization size, large enterprises captured 70.2% revenue in 2024; the SME segment is projected to expand at 14.9% CAGR to 2030.
- By service, managed services accounted for 68.5% of the deception technology market size in 2024 and are set to post a 14.7% CAGR through 2030.
- By deception stack, data security remained dominant at 48.2% share in 2024, whereas endpoint security is forecast to grow 14.2% annually to 2030.
- By end-user, BFSI held 36.1% share in 2024; healthcare is forecast to grow at a 13.5% CAGR.
- By geography, North America contributed 41.8% revenue in 2024; Asia-Pacific will grow fastest at 13.8% CAGR to 2030.
Global Deception Technology Market Trends and Insights
Drivers Impact Analysis
Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Surge in zero-day exploits and targeted APTs | 3.2% | Global, with concentration in North America & Europe | Short term (≤ 2 years) |
Escalating cloud-native workloads broaden attack surface | 2.8% | Global, led by APAC and North America | Medium term (2-4 years) |
CISO preference for low-friction, agent-less detection tools | 2.1% | North America & Europe, expanding to APAC | Medium term (2-4 years) |
Rise of AI-generated deepfake identity attacks | 1.9% | Global, with early impact in BFSI and government sectors | Short term (≤ 2 years) |
Convergence of deception with zero-trust micro-segmentation | 1.7% | North America & Europe, gradual APAC adoption | Long term (≥ 4 years) |
Cyber-insurance policies demanding proactive lateral-movement detection | 1.6% | North America & Europe, emerging in APAC | Medium term (2-4 years) |
Source: Mordor Intelligence |
Surge in Zero-Day Exploits and Targeted APTs
State-sponsored collectives automate reconnaissance with AI, finding novel vulnerabilities faster than signature-based defenses adapt. The Institute for Security and Technology notes that automated reconnaissance compresses attacker dwell time, forcing defenders to rethink reactive playbooks. Deception platforms insert believable but fake assets that weaponize curiosity; once probed, alerts trigger in seconds while production systems stay untouched. Because detection is based on attacker behavior rather than threat-intelligence feeds, the deception technology market provides resilience against bespoke malware that evades hash-matching controls. Vendors now pre-package decoys for industrial control systems and SaaS APIs, reflecting attacker pivot toward operational technology.
Escalating Cloud-Native Workloads Broaden Attack Surface
Containerized and serverless applications can spin up and down within minutes, leaving security operations centers blind to east-west traffic. Zscaler deploys generative-AI decoys that mimic large-language-model endpoints, luring attackers into instrumented sandboxes[1]Zscaler, “Zscaler Introduces Generative AI Decoys for Cloud-Native Environments,” zscaler.com. Because decoys scale automatically inside Kubernetes namespaces, defenders gain continuous coverage even as underlying microservices change. The deception technology market capitalizes on cloud providers’ metadata APIs to place traps inside virtual private clouds without installing agents. As organizations adopt multi-cloud strategies, cross-provider decoy orchestration becomes a buying criterion, especially in regulated industries that cannot centralize logs in a single region.
CISO Preference for Low-Friction, Agent-Less Detection Tools
Tool sprawl produces alert fatigue and ballooning license costs. CISOs gravitate toward technologies that integrate smoothly, emit few false positives, and require little maintenance. Deception platforms meet these demands because asset placement is passive; nothing touches the endpoint. SC Media reports that organizations reduce mean-time-to-detect by 48 hours when shifting to deception-first strategies. Vendor dashboards now expose attack paths graphically, enabling junior analysts to act without deep forensics skills. These usability gains drive procurement, particularly in mid-market firms that lack specialized threat hunters.
Rise of AI-Generated Deepfake Identity Attacks
Voice cloning and synthetic video enable fraudsters to bypass traditional verification checks. Reality Defender recorded a 245% year-over-year spike in enterprise deepfake incidents, with one-quarter impacting finance workflows. Deception solutions respond by placing counterfeit executive credentials in privileged-access vaults; any authentication attempt against these phantom identities reveals compromise. Lucinity documented a USD 25 million transfer initiated through a deepfake video call, underscoring why real-time lateral-movement flags are crucial[2]Lucinity, “Arup Deepfake Case Study,” lucinity.com. The deception technology market embeds media-forensics hooks that score the authenticity of voice traffic, linking anomalies to specific network sessions for rapid containment.
Restraints Impact Analysis
Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline |
---|---|---|---|
Entrenched reliance on legacy honeypots | -1.8% | Global, particularly in cost-sensitive SME segments | Long term (≥ 4 years) |
Scarcity of deception-skilled SecOps staff | -1.5% | Global, acute in APAC and emerging markets | Medium term (2-4 years) |
Adversary use of large-language-model recon to spot decoys | -1.2% | Advanced threat actors globally | Short term (≤ 2 years) |
Budget cannibalization by bundled EDR/XDR platforms | -0.9% | North America & Europe enterprise segments | Medium term (2-4 years) |
Source: Mordor Intelligence |
Entrenched Reliance on Legacy Honeypots
Many firms still run static honeypots deployed years ago. Attackers now fingerprint such assets through protocol quirks or uptime patterns, bypassing them with ease. This sunk-cost bias delays upgrades to adaptive decoys able to morph operating-system banners or rotate credentials automatically. Legacy honeypots also demand manual log parsing, consuming resources that should focus on real attack paths. Because these tools produce few actionable alerts, boards question ROI, thereby constraining new investment and dampening growth of the deception technology market.
Scarcity of Deception-Skilled SecOps Staff
Deploying credible decoys requires knowledge of attacker psychology, asset valuation, and network topology. Universities seldom teach these skills, so employers compete for a limited talent pool. Shortfalls are most acute in Asia-Pacific, where cybersecurity curricula concentrate on compliance rather than active defense. To close the gap, vendors embed guided workflows and offer managed services, but salaries for deception architects still command premiums that small enterprises cannot match. This workforce constraint slows broad adoption even though the technology’s value proposition is widely acknowledged.
Segment Analysis
By Deployment: Cloud Acceleration Despite On-Premises Dominance
On-premises deployment commanded 67.9% of deception technology market share in 2024, illustrating enterprises’ need to keep high-interaction decoys close to crown-jewel systems for compliance and forensic control. That control, however, brings hardware refresh cycles and change-management overhead that limit agility. Cloud deployment contributes a modest slice today but is slated to rise at a 15.2% CAGR through 2030, the fastest pace within the deception technology market. Cloud-based consoles spin up decoys across regions within minutes, making them attractive for global branch rollouts.
Hybrid models emerge as a pragmatic bridge, letting teams place sensitive database decoys on-premises while offloading analysis and scaling tasks to public clouds. As multicloud adoption rises, buyers demand single-pane views across AWS, Azure, and Google Cloud, pushing providers to invest in identity federation and immutable infrastructure blueprints. These capabilities enhance the deception technology market size for cloud modules and convince regulation-bound sectors that shared-responsibility models can still satisfy audit controls.
By Organization Size: SMEs Drive Adoption Through Managed Services
Large enterprises retained 70.2% revenue share in 2024 and continue shaping feature roadmaps by insisting on API depth, MITRE ATT&CK alignment, and advanced analytics. Yet SMEs now register a 14.9% growth trajectory, outpacing big-company spending within the deception technology market. Subscription-based managed deception services, billed per asset, cut entry barriers and deliver curated alerts that fit smaller teams’ bandwidth.
Savings compound because cloud consoles eliminate hardware purchase, allowing SMEs to reallocate capital toward employee awareness programs. For vendors, the segment’s scale effect is compelling; thousands of mid-sized customers can equal the license revenue of a handful of Fortune 500 accounts. Consequently, roadmap priorities now include low-code playbooks and automated decoy placement, features designed to compress onboarding from weeks to hours and thereby expand deception technology market size among smaller firms.
By Service: Managed Services Dominate Through Operational Efficiency
Managed services represented 68.5% of the deception technology market size in 2024, a reflection of buyer preference for turnkey operations that offer measurable risk-reduction without headcount spikes. Growth remains brisk at 14.7% CAGR because service providers integrate deception layers with 24×7 security operations centers, handing clients curated attack timelines rather than raw logs.
Professional services still play a vital role in day-zero architecture assessments, regulatory mapping, and red-team validation. However, once baseline deployment is done, most organizations prefer subscription renewals to internal tooling. Vendors upsell premium tiers that include annual breach simulations, threat-intel enrichment, and automatic decoy refresh, driving predictable recurring revenue while broadening overall deception technology market.
By Deception Stack: Data Security Leads While Endpoint Security Accelerates
Data-centric deception kept 48.2% share in 2024 as privacy regulations impose stiff fines for record exposure. Finance and healthcare clients deploy fake database tables and document lures to spot illicit queries against personal data. This dominance underlines why the deception technology market remains tightly coupled with governance, risk, and compliance priorities.
Endpoint security decoys, though smaller today, are growing at 14.2% annually. Remote workforces, bring-your-own-device policies, and ransomware spikes drive investment in fake process trees, memory artifacts, and local credential stores that look indistinguishable from actual laptops. Integration with EDR telemetry allows security teams to pivot from detection to device isolation in seconds, raising the combined value proposition and expanding deception technology market share for endpoint-focused solutions.

Note: Segment shares of all individual segments available upon report purchase
By End-User: BFSI Leadership with Healthcare Acceleration
The BFSI sector held 36.1% revenue in 2024, reflecting banks’ and insurers’ low tolerance for insider fraud and credential-stuffing risk. High-interaction decoys now imitate SWIFT terminals and trading platforms, enabling head-office SOCs to trace lateral-movement attempts that aim at payment systems.
Healthcare records command high prices on underground forums, explaining why the segment is expected to grow 13.5% annually. Hospital networks deploy medical device decoys that mimic infusion pumps or radiology equipment, catching threat actors targeting Internet-of-Medical-Things attack surfaces. Budget boosts come as regulators tighten breach-notification timetables, reinforcing the business case for the deception technology market in clinical settings.
Geography Analysis
North America generated 41.8% of revenue in 2024, buoyed by stringent mandates such as CISA’s directive on incident reporting and a concentration of Fortune 100 headquarters that can fund specialized controls. Federal contracts increasingly specify deception capabilities, further cementing the region’s leadership within the deception technology market.
Europe advances steadily as the NIS2 Directive broadens the scope of entities required to maintain proactive threat-detection programs[3].Lacework, “Preparing for NIS2 Compliance,” lacework.com Local vendors stress data-sovereignty features, ensuring logs stay inside EU borders. Emerging EU cloud providers now embed deception natively, offering compliance-ready bundles that appeal to mid-market industrial manufacturers.
Asia-Pacific remains the fastest-growing territory at 13.8% CAGR. Governments in Japan, India, and Singapore launch grant programs that co-fund zero-trust pilots incorporating deception. Telecom rollouts of 5G standalone cores enlarge attack surfaces, pushing operators to install signaling-protocol decoys that detect rogue base-station registration attempts. These initiatives collectively enlarge deception technology market size in the region. Meanwhile, Latin America and Middle East and Africa start integrating deception into critical-infrastructure revamps, although budget constraints and talent gaps temper near-term uptake.

Competitive Landscape
Top Companies in Deception Technology Market
The deception technology market shows moderate fragmentation. Large cybersecurity suites integrate native deception modules, while specialist pure-plays innovate aggressively on AI-driven lures. Illusive Networks’ integration with CrowdStrike Falcon enriches endpoint telemetry with deception-triggered attribution, slashing average dwell time by 60%[4]CrowdStrike, “Illusive Networks Integration Unlocks Endpoint Deception,” crowdstrike.com. Zscaler collaborates with NVIDIA to accelerate model-based decoy generation that adapts to attacker behavior in real time.
Mergers and acquisitions reshapes boundaries: Google’s USD 32 billion purchase of Wiz expands cloud-native coverage, while CyberArk’s Venafi acquisition injects machine-identity risk data into decoy placement logic. Start-ups such as CyberTrap target mid-size European firms with subscription bundles combining deception and managed detection, capitalizing on skills shortages. For incumbents, proof-of-value cycles focus on measurable ROI—principally reduced mean-time-to-detect and improved audit outcomes—as procurement boards grow wary of shelfware.
Competitive intensity is expected to rise as privacy-enhancing computation and quantum-safe protocols create new decoy formats. Vendors able to demonstrate seamless orchestration across endpoints, cloud, and operational technology, without adding analyst workload, will gain share. Conversely, firms that rely on static honeypot architectures risk marginalization as attackers exploit pattern recognition to evade detection, reinforcing dynamic deception as the baseline expectation within the deception technology market.
Deception Technology Industry Leaders
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Illusive Networks
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Commvault Systems Inc.
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Smokescreen Technologies Pvt. Ltd
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Attivo Networks Inc. (SentinelOne Inc.)
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Rapid7 Inc.
- *Disclaimer: Major Players sorted in no particular order

Recent Industry Developments
- May 2025: Zscaler announced acquisition of Red Canary to fold MDR capabilities into Zero Trust Exchange.
- April 2025: Palo Alto Networks completed acquisition of Protect AI for USD 650–700 million, boosting AI governance coverage.
- April 2025: OpenAI led USD 43 million funding in Adaptive Security to grow AI attack-simulation services.
- March 2025: Google finalized USD 32 billion takeover of Wiz to reinforce multi-cloud security features.
- March 2025: Darktrace acquired Cado Security, adding AI-driven cloud forensics to its platform.
- February 2025: Sophos bought Secureworks for USD 859 million, merging XDR and identity deception analytics.
Global Deception Technology Market Report Scope
The deception technology market is defined based on the revenues generated from the deception stack that is being used by various end-users across the globe. The analysis is based on the market insights captured through secondary research and the primaries. The market also covers the major factors impacting its growth in terms of drivers and restraints.
The scope of the study has been segmented based on deployment (cloud and on-premises), organization size (small and medium enterprises and large enterprises), service (managed services and professional services), deception stack (data security, application security, endpoint security, and network security), and end-user (government, medical, BFSI, defense, IT, telecommunication, and other end users) across the globe. The market sizes and forecasts are provided in terms of value in USD for all the segments.
By Deployment | On-premises | ||
Cloud | |||
By Organization Size | Large Enterprises | ||
Small and Medium Enterprises (SMEs) | |||
By Service | Managed Services | ||
Professional Services | |||
By Deception Stack | Data Security | ||
Application Security | |||
Endpoint Security | |||
Network Security | |||
By End-User | Government | ||
Defense | |||
BFSI | |||
IT and Telecommunication | |||
Healthcare | |||
Other End-Users | |||
By Geography | North America | United States | |
Canada | |||
Mexico | |||
Europe | Germany | ||
United Kingdom | |||
France | |||
Italy | |||
Spain | |||
Russia | |||
Rest of Europe | |||
Asia-Pacific | China | ||
Japan | |||
India | |||
South Korea | |||
Australia and New Zealand | |||
Rest of Asia-Pacific | |||
South America | Brazil | ||
Argentina | |||
Rest of South America | |||
Middle East and Africa | Middle East | Saudi Arabia | |
United Arab Emirates | |||
Turkey | |||
Rest of Middle East | |||
Africa | South Africa | ||
Nigeria | |||
Rest of Africa |
On-premises |
Cloud |
Large Enterprises |
Small and Medium Enterprises (SMEs) |
Managed Services |
Professional Services |
Data Security |
Application Security |
Endpoint Security |
Network Security |
Government |
Defense |
BFSI |
IT and Telecommunication |
Healthcare |
Other End-Users |
North America | United States | |
Canada | ||
Mexico | ||
Europe | Germany | |
United Kingdom | ||
France | ||
Italy | ||
Spain | ||
Russia | ||
Rest of Europe | ||
Asia-Pacific | China | |
Japan | ||
India | ||
South Korea | ||
Australia and New Zealand | ||
Rest of Asia-Pacific | ||
South America | Brazil | |
Argentina | ||
Rest of South America | ||
Middle East and Africa | Middle East | Saudi Arabia |
United Arab Emirates | ||
Turkey | ||
Rest of Middle East | ||
Africa | South Africa | |
Nigeria | ||
Rest of Africa |
Key Questions Answered in the Report
What is the current value of the deception technology market?
The market reached USD 2.41 billion in 2025 and is projected to climb to USD 4.50 billion by 2030.
Which segment is growing fastest within the deception technology market?
Cloud deployment is pacing the field with a 15.2% CAGR thanks to its agility and ease of rollout.
Why are insurers pushing companies toward deception solutions?
Many cyber-insurance policies now require proactive lateral-movement detection, and decoys provide verifiable evidence that attackers have breached internal networks.
How does deception technology help against deepfake attacks?
Vendors place fake executive identities and voice patterns within decoy systems so that any deepfake attempt trips an alert before real credentials are touched.
Which region is forecast to lead growth?
Asia-Pacific is expected to expand at a 13.8% CAGR as digital-transformation projects accelerate and regulators tighten security mandates.
Are deception platforms difficult to manage?
Modern offerings are agent-less and often delivered as managed services, letting even small security teams gain high-fidelity alerts without heavy operational overhead.
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