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市場調查報告書
商品編碼
2032397
欺騙技術市場報告:按欺騙技術堆疊、服務、部署模式、組織規模、最終用戶和地區分類(2026-2034 年)Deception Technology Market Report by Deception Stack, Service, Deployment, Organization Size, End User, and Region 2026-2034 |
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全球欺騙科技市場在2025年達到27億美元。展望未來,IMARC Group預測,到2034年,該市場規模將達到73億美元,2026年至2034年的複合年成長率(CAGR)為11.43%。該市場快速成長的主要促進因素包括網路安全威脅數量的增加、對早期威脅偵測的需求、與先進安全解決方案的整合以及監管合規要求。雲端解決方案的普及和威脅情報能力的提升也對市場成長產生了正面影響。
欺騙技術是一種網路安全防御手段,它透過在系統基礎設施中部署一系列陷阱和誘餌來模擬真實資產。其目標是利用虛擬和真實的作業系統環境欺騙攻擊者,從而讓他們產生一種虛假的安全感,並最終在網路中站穩腳跟。這種技術具有許多優勢,包括縮短攻擊者在網路中的停留時間、減少威脅偵測和修復的平均時間、降低警報疲勞,以及產生入侵徵兆(IOC) 和戰術、技術及程序 (TTP) 指標。因此,欺騙技術被廣泛應用於全球的政府、醫療保健、國防、資訊科技 (IT)、電信以及銀行、金融服務和保險 (BFSI) 等產業。
隨著網路攻擊的激增,各行各業的組織機構擴大採用欺騙技術來偵測和緩解憑證面臨的高層級風險。此外,安全團隊也擴大使用這些技術來專注於真正的網路威脅,這也是推動市場成長的主要因素。同時,世界各地的政府機構也在擴大欺騙技術的應用,以保護官方網站上的關鍵資訊並打擊網路犯罪。人工智慧 (AI) 和機器學習 (ML) 的日益融合,有助於降低營運成本,這也促進了市場成長。此外,全球高階持續性威脅 (APT) 攻擊的增加,也加速了對欺騙技術的需求。最後,主要市場參與者正致力於透過併購來提升整體盈利。
本報告分析了各個細分市場的關鍵趨勢,並對 2026 年至 2034 年的全球、區域和國家進行了預測。該報告根據欺騙技術堆疊、服務、部署模式、組織規模和最終用戶對市場進行了細分。
關於該行業的競爭格局,主要公司包括 Acalvio Technologies Inc.、Allure Security Technology、Attivo Networks、CounterCraft、CyberTrap Software GmbH、Fidelis Cybersecurity Inc.、Guardicore Ltd.(Akamai Technologies)、Illusive Networks、Logrhsecurity Inc.、Guardicore Ltd.(Akamai Technologies)、Illusive Networks、Logrhhm Inc。
The global deception technology market size reached USD 2.7 Billion in 2025. Looking forward, IMARC Group expects the market to reach USD 7.3 Billion by 2034, exhibiting a growth rate (CAGR) of 11.43% during 2026-2034. The market is rapidly growing mainly driven by the rising incidences of cybersecurity threats, the need for early threat detection, integration with advanced security solutions, and regulatory compliance demands. The widespread adoption of cloud-based solutions and enhanced threat intelligence capabilities are also contributing positively to the market growth.
Deception technology is a cybersecurity defense that works by disseminating a series of traps and decoys throughout the infrastructure of a system to simulate genuine assets. It aims to deceive attackers by virtual and real operating system environment. It enables attackers to gain a foothold on the network by giving them a false sense of security. It offers several advantages including, decreasing attacker dwell time on the network, expediting the average time to detect and remediate threats, reducing alert fatigue, and producing metrics surrounding indicators of compromise (IOCs) and tactics, techniques and procedures (TTPs). As a result, the deception technology finds extensive applications in government, medical, defense, information technology (IT), telecommunication, and banking, financial services and insurance (BFSI) sectors worldwide.
Due to the surging cyber-attacks, there is a rise in the employment of deception technology in organizations of different industry verticals to detect and mitigate advanced risks to credentials. This, along with the growing utilization of the technology by security teams to focus on real threats of the network, represents one of the key factors driving the market. Moreover, there is an increase in the usage of deception technology by governing authorities around the world to protect critical information provided on their official websites and prevent cybercrime onslaught. This, coupled with the rising integration of artificial intelligence (AI) and machine learning (ML) to reduce operational overheads, is propelling the growth of the market. In addition, the growing number of advanced persistent threat (APT) attacks across the globe is catalyzing the need for deception technology. Furthermore, key market players are focusing on mergers and acquisitions (M&A) to increase their overall profitability.
This report provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2026-2034. The report categorizes the market based on deception stack, service, deployment, organization size and end user.
The competitive landscape of the industry has also been examined along with the profiles of the key players being Acalvio Technologies Inc., Allure Security Technology, Attivo Networks, CounterCraft, CyberTrap Software GmbH, Fidelis Cybersecurity Inc., Guardicore Ltd. (Akamai Technologies), Illusive Networks, Logrhythm Inc., Rapid7, Trapx Security Inc. and Zscaler Inc.