2024 年至 2031 年按類型、部署類型和地區劃分的使用者和實體行為分析 (UEBA) 市場

使用者和實體行為分析 (UEBA) 市場評估，2024-2031 年

隨著網路攻擊越來越複雜，IT 環境也越來越複雜，企業必須應對進階持續性威脅、勒索軟體攻擊、內部威脅等。性和洞察力。預計到 2024 年市場規模將超過 10.3554 億美元，到 2031 年將達到 112.1559 億美元。

此外，將人工智慧 (AI) 和機器學習 (ML) 整合到 UEBA 系統中將提高威脅偵測和回應的準確性和有效性。此外，資料保護和網路安全的法律要求日益嚴格，迫使企業投資於先進的安全解決方案，推動各行業對UEBA 的需求，預計2024 年至2031 年的複合年增長率約為40.50%。將發生。

使用者和實體行為分析 (UEBA) 市場：定義/概述

使用者和實體行為分析 (UEBA) 是高階分析和機器學習技術的應用，用於監控和評估組織資訊科技環境中使用者和實體的行為。UEBA 透過建立典型行為基準並識別偏差，幫助偵測潛在的安全威脅，包括內部威脅、受損帳戶和進階持續性威脅。用途包括改進威脅偵測、改善事件回應和全面加強網路安全態勢。預計人工智慧和機器學習的進步將實現更複雜、更準確的威脅偵測，這使得 UEBA 的未來充滿樂觀。隨著企業優先考慮網路安全和法規合規性，UEBA 將在提供可操作的見解和防範不斷演變的網路威脅方面發揮關鍵作用。

人工智慧和機器學習的日益普及會推動用戶和實體行為分析 (UEBA) 市場的發展嗎？

人工智慧 (AI) 和機器學習 (ML) 的使用日益增多，正在推動使用者和實體行為分析 (UEBA) 市場的發展。人工智慧和機器學習技術提高了 UEBA 解決方案的能力，使其能夠更準確、更有效率地分析大量數據。這些技術可以檢測到可能表明存在安全漏洞的細微行為異常和趨勢，例如內部威脅、受損帳戶或進階持續性威脅。因此，企業越來越依賴 AI 和 ML 驅動的 UEBA 解決方案來加強其網路安全防禦並偵測和應對進階網路威脅。

2024年5月，以數據分析聞名的公司Splunk宣佈將把強大的機器學習演算法融入其UEBA平台。此整合旨在透過使用機器學習模型即時評估使用者和物件行為來提高威脅偵測的準確性和速度。這些改進顯示了 AI 和 ML 如何徹底改變 UEBA 系統，使其更有效地偵測和減輕新出現的網路威脅。

此外，網路安全營運對可擴展性和自動化的要求正在推動人工智慧和機器學習在 UEBA 中的使用。隨著業務的擴展和 IT 環境變得越來越複雜，手動監控和分析使用者行為變得不可能。人工智慧和機器學習技術實現了管理大量資料和自動化威脅偵測操作所需的可擴展性。

增加實施複雜性會阻礙使用者和實體行為分析 (UEBA) 市場的成長嗎？

實施複雜性的不斷上升是阻礙使用者和實體行為分析 (UEBA) 產業發展的關鍵因素。實施 UEBA 解決方案需要將人工智慧 (AI) 和機器學習 (ML) 等新技術整合到現有 IT 基礎設施中，這可能是一個具有課題性且資源密集的過程。為了獲得正確的行為洞察，組織必須可靠地捕獲、標準化和有效地分析數據。這種複雜性可能會阻礙 IT 資源較少的小型組織採用 UEBA 解決方案，從而減緩整體市場的成長。

此外，將 UEBA 與其他安全系統（例如安全資訊和事件管理 (SIEM) 平台）整合可能會引發更多問題。確保各種安全措施之間的無縫相容性需要先進的技術知識和持續的維護。例如，配置 UEBA 以與現有 SIEM 系統和其他安全應用程式良好配合可能很困難，從而導致整合課題並增加營運成本。這種複雜性可能會導致較長的實施時間，並阻礙對 UEBA 解決方案的投資，尤其是在內部不具備必要知識的情況下。

此外，網路威脅的不斷演變意味著 UEBA 系統必須不斷適應和改進才能取得成功。這需要不斷更新和微調人工智慧和機器學習模型，從而使實施和維護過程變得複雜。組織可能難以滿足這些需求，尤其是那些沒有專門網路安全團隊的組織。

目錄

第 1 章 簡介

• 市場定義
• 市場細分
• 調查方法

第 2 章執行摘要

• 主要發現
• 市場概況
• 市集亮點

第3章市場概況

• 市場規模和成長潛力
• 市場趨勢
• 市場驅動力
• 市場制約因素
• 市場機會
• 波特五力分析

第4章使用者和實體行為分析 (UEBA) 市場按類型

• 解決方案
• 服務

第5章按部署類型劃分的使用者和實體行為分析 (UEBA) 市場

• 本地
• 基於雲的

第6章 區域分析

• 北美
• 美國
• 加拿大
• 墨西哥
• 歐洲
• 英國
• 德國
• 法國
• 義大利
• 亞太地區
• 中國
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中東/非洲
• 南非
• 沙烏地阿拉伯
• 阿拉伯聯合酋長國

第7章 市場動態

• 市場驅動力
• 市場制約因素
• 市場機會
• COVID-19 的市場影響

第8章 競爭格局

• 大公司
• 市場佔有率分析

第9章 公司簡介

• Splunk Inc.
• IBM Security（QRadar SIEM with UEBA module）
• Palo Alto Networks
• MacAfee
• Fortinet
• Cisco

第10章市場前景與機遇

• 新興技術
• 未來市場趨勢
• 投資機會

第 11 章 附錄

• 縮寫表
• 來源和參考文獻

User and Entity Behavior Analytics Market Valuation - 2024-2031

The rise of sophisticated cyber-attacks and the increasing complexity of IT environments. As enterprises deal with sophisticated persistent threats, ransomware attacks, and insider threats, UEBA solutions provide increased visibility and insights by studying behavioral patterns to detect anomalies and potential breaches growth surpassing USD 1035.54 Million in 2024 and reachingUSD 11215.59 Million by 2031.

Furthermore, integrating artificial intelligence (AI) and machine learning (ML) into UEBA systems increases their accuracy and efficacy in detecting and responding to threats. Furthermore, increasing legal requirements for data protection and cybersecurity force organizations to invest in advanced security solutions, driving up demand for UEBA across industries expansion is expected to grow at aCAGR of about 40.50% from 2024 to 2031.

User and Entity Behavior Analytics Market: Definition/ Overview

User and Entity Behavior Analytics (UEBA) is the application of advanced analytics and machine learning techniques to monitor and evaluate the behavior of users and entities in an organization's information technology environment. UEBA aids in the detection of potential security threats such as insider threats, compromised accounts, and advanced persistent threats by establishing baselines of typical activity and identifying deviations from them. Its applications include improved threat detection, better incident response, and a stronger overall cybersecurity posture. The future of UEBA seems optimistic, with predicted advances in AI and machine learning leading to more complex and accurate threat detection capabilities. As firms prioritize cybersecurity and regulatory compliance, UEBA will play an important role in providing actionable insights and protecting against changing cyber threats.

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Will Rising Adoption of AI and Machine Learning Drive the User And Entity Behavior Analytics Market?

The growing use of artificial intelligence (AI) and machine learning (ML) is propelling the user and entity behavior analytics (UEBA) market. AI and machine learning technologies improve UEBA solutions' capabilities by allowing for more accurate and efficient analysis of large amounts of data. These technologies allow for the detection of small behavioral anomalies and trends that could suggest possible security vulnerabilities, such as insider threats, compromised accounts, and advanced persistent threats. As a result, enterprises are increasingly relying on AI and ML-powered UEBA solutions to bolster their cybersecurity defenses and detect and respond to advanced cyber threats.

In May 2024, Splunk, a renowned data analytics company, announced the inclusion of powerful machine learning algorithms into its UEBA platform. This integration seeks to increase threat detection accuracy and speed by using machine learning models to assess user and object behavior in real time. These improvements show how AI and ML are revolutionizing UEBA systems, making them more effective at detecting and mitigating emerging cyber threats.

Furthermore, the requirement for scalability and automation in cybersecurity operations drives the use of AI and machine learning in UEBA. As firms expand and their IT environments get increasingly sophisticated, manual monitoring and analysis of user behavior becomes impossible. AI and ML technologies enable the scalability needed to manage enormous amounts of data and automate threat detection operations.

Will Rising Complexity of Implementation Hinder the Growth of the User And Entity Behavior Analytics Market?

The increasing complexity of implementation is a significant factor that may impede the growth of the user and entity behavior analytics (UEBA) industry. Implementing UEBA solutions entails integrating new technologies such as artificial intelligence (AI) and machine learning (ML) with existing IT infrastructure, which can be a difficult and resource-intensive process. To obtain correct behavioral insights, organizations must ensure that their data is captured, standardized, and analyzed effectively. This complexity may dissuade smaller organizations with fewer IT resources from implementing UEBA solutions, delaying overall market growth.

Furthermore, integrating UEBA with other security systems, such as Security Information and Event Management (SIEM) platforms, may provide additional issues. Ensuring seamless compatibility between various security measures necessitates a high level of technical knowledge and continual maintenance. For instance, configuring UEBA to function successfully with existing SIEM systems and other security applications might be difficult, resulting in integration challenges and higher operational expenses. This complexity can lead to lengthier implementation timelines and dissuade firms from investing in UEBA solutions, especially if they lack the required in-house knowledge.

Furthermore, the continual evolution of cyber threats necessitates that UEBA systems constantly adapt and improve to be successful. This needs constant updates and fine-tuning of AI and ML models, adding complexity to the implementation and maintenance processes. Organizations may struggle to keep up with these demands, particularly if they do not have dedicated cybersecurity teams.

Category-Wise Acumens

Will Rising Demand for Comprehensive Software Platforms Drive the User And Entity Behavior Analytics Market?

The growing demand for comprehensive software platforms is a key driver of the user and entity behavior analytics (UEBA) industry. Organizations are increasingly looking for integrated solutions that include advanced threat detection and response capabilities on a single platform. These sophisticated software solutions integrate a variety of security technologies, including machine learning, behavioral analytics, and real-time monitoring, to provide a full picture of potential risks. The need for a unified approach to cybersecurity grows as cyber threats become more complex, prompting organizations to invest in UEBA solutions that can seamlessly integrate with their existing security infrastructure while providing robust protection against sophisticated attacks.

Furthermore, the growing volume of data generated by modern IT settings needs powerful analytics and automation capabilities, which comprehensive UEBA solutions can deliver. These platforms use artificial intelligence (AI) and machine learning (ML) to process and analyze enormous datasets in real time, looking for patterns and abnormalities that could indicate malicious behavior.

Scalability and ease of management are further motivators for the adoption of complete software systems. As businesses grow and their IT infrastructures get more sophisticated, managing several independent security systems becomes more difficult. Comprehensive UEBA solutions make this easier by providing a consolidated solution that unifies several security activities, lowering administrative burdens and increasing operational efficiency. For instance, in July 2024, Microsoft announced the merging of Azure Sentinel with UEBA capabilities, resulting in a unified security management system that scales with an organization's requirements. This integration enables enterprises to streamline their security operations, making it easier to manage and respond to threats in big, distributed systems.

The services category, on the other hand, is expanding at the highest rate, owing to the growing demand for specialist assistance in establishing, administering, and optimizing UEBA systems. Organizations need expert help to efficiently implement these complex solutions and continuously improve their security posture, resulting in a significant increase of the services industry.

Will Rising Usage of On -Premises Propel the Growth of User And Entity Behavior Analytics Market?

The increasing use of on-premises solutions is driving the growth of the user and entity behavior analytics (UEBA) industry. Large corporations and organizations in highly regulated areas like finance, healthcare, and government prefer on-premises implementation since data security and compliance are critical. These firms prefer on-premises solutions because they provide direct control over their data and security infrastructure, ensuring compliance with demanding regulatory standards and lowering the risk of data breaches. The demand for on-premises UEBA solutions is driving market expansion, as businesses want to use advanced analytics and behavioral insights while maintaining complete data sovereignty.

The growing complexity of cyber threats, as well as the necessity for comprehensive security measures, are contributing to an increase in demand for on-premises UEBA solutions. As cyberattacks get increasingly complex, organizations must use advanced analytics and real-time monitoring to successfully identify and neutralize risks. On-premises UEBA systems provide the performance and dependability required to process huge amounts of security data and give actionable insights quickly. The ability to maintain tight control over security infrastructure and data enables enterprises to ensure that their UEBA systems are always up to date and capable of guarding against emerging threats. The growing demand for advanced, dependable, and configurable security solutions is driving the growth of the UEBA market through greater use of on-premises deployments.

The cloud-based category, on the other hand, is expanding at a rapid pace, thanks to its flexibility, scalability, and low cost. The growing adoption of cloud technologies, as well as the demand for remote monitoring and control of security analytics, are driving the rapid expansion of cloud-based UEBA solutions, particularly among small to medium-sized enterprises and companies with hybrid or totally remote workforces.

Country/Region-wise

Will Rising Advanced Technological Infrastruce in North America Drive the User And Entity Behavior Analytics Market?

The robust technical infrastructure in North America is a major driver of the user and entity behavior analytics (UEBA) market. The region has a strong IT ecosystem, defined by widespread use of cutting-edge technologies like artificial intelligence (AI) and machine learning (ML). This architecture enables the integration and deployment of advanced UEBA solutions that employ AI and ML to monitor user and entity activity patterns and detect possible security issues. Organizations in North America are increasingly investing in UEBA to strengthen their cybersecurity posture, threat detection capabilities, and risk mitigation for complex cyber-attacks.

North America is committed to improving its cybersecurity infrastructure. For instance, in June 2024, IBM announced a significant expansion of its cybersecurity offerings, which included improvements to its QRadar UEBA platform. This expansion underscores the company's commitment to integrate sophisticated analytics and AI-powered insights to better threat identification and response. Such investments by large technology companies highlight the significance of strong technological infrastructure in driving the adoption and expansion of UEBA solutions in the region.

Furthermore, the growing regulatory requirements for data protection and cybersecurity in North America are driving up demand for UEBA solutions. Companies must implement advanced security solutions to comply with rules like GDPR and CCPA, which need robust threat detection and response capabilities. The ongoing transformation of North America's technical landscape, combined with strong regulatory requirements, is projected to fuel the region's UEBA market expansion, confirming its position as a worldwide cybersecurity leader.

Will Rising Cybersecurity Threats in Asia-Pacific Propel the User And Entity Behavior Analytics Market?

The rising cybersecurity concerns in the Asia-Pacific region are driving the user and entity behavior analytics (UEBA) market. As digital transformation increases across the region's various industries, there is an increase in cyber-attacks on sensitive information and key infrastructure. The rise of sophisticated cyber dangers, such as advanced persistent threats (APTs) and ransomware assaults, is prompting enterprises to implement advanced security solutions like UEBA. These solutions leverage AI and machine learning to evaluate user and entity activity, detect anomalies, and respond to possible threats in real time, increasing the region's overall cybersecurity resilience.

The Asia-Pacific region is increasingly focused on addressing cybersecurity risks. In July 2024, Cisco announced a strategic collaboration with a prominent cybersecurity business to strengthen its SecureX platform with sophisticated UEBA capabilities. This alliance intends to address rising cyber threats in Asia-Pacific by combining behavioral analytics with Cisco security solutions. Such activities underscore the critical need for sophisticated threat detection and response systems, which is driving the adoption of UEBA solutions throughout the area.

Furthermore, legal concerns and the rising complexity of cyber threats are driving up demand for UEBA solutions in Asia Pacific. Governments and regulatory bodies are enacting stronger data protection laws and cybersecurity rules, requiring businesses to invest in advanced security systems. For instance, in August 2024, the Australian government issued new legislation mandating firms to improve their cybersecurity defences. This regulatory shift, combined with a developing threat landscape, is hastening the adoption of UEBA solutions in Asia-Pacific, as businesses strive to increase threat detection capabilities and maintain compliance with changing security standards.

Competitive Landscape

The competitive landscape of the user and entity behavior analytics (UEBA) market is characterized by a dynamic environment with a mix of emerging players and established technology vendors. The market is driven by increasing cybersecurity threats and the need for advanced threat detection and response capabilities. Companies are leveraging advancements in artificial intelligence (AI) and machine learning (ML) to enhance the accuracy and efficiency of their UEBA solutions. Additionally, there is a growing emphasis on integrating UEBA with other security information and event management (SIEM) systems and broader security frameworks to offer more comprehensive threat intelligence and analysis. This integration facilitates better detection of sophisticated attacks and insider threats, contributing to the evolving competitive dynamics of the market.

Some of the prominent players operating in the user and entity behavior analytics market include:

Splunk, Inc.

IBM Security (QRadar SIEM with UEBA module)

Palo Alto Networks

MacAfee

Fortinet

Latest Developments

In January 2024, Exabeam, a cybersecurity startup that specializes in UEBA, has introduced "Exabeam IoT Sentinel," the industry's first UEBA solution intended exclusively for Internet of Things (IoT) devices. This revolutionary tool employs machine learning algorithms to build baseline behavior patterns for diverse IoT devices and detect anomalies that may indicate security breaches or device compromise. The solution addresses the growing security risks associated with the proliferation of IoT devices in business networks. Exabeam IoT Sentinel connects with the company's existing UEBA technology, allowing for a comprehensive picture of both user and device behavior.

In December 2023, BASF, a multinational chemical business, and Terramera, an agricultural technology company specializing in computational chemistry, have launched a research collaboration aimed at understanding the molecular mechanisms of humic compounds in plant growth promotion. The cooperation intends to employ Terramera's computational biology platform to find the most effective humic chemicals and enhance their formulations.

TABLE OF CONTENTS

1. Introduction

• Market Definition
• Market Segmentation
• Research Methodology

2. Executive Summary

• Key Findings
• Market Overview
• Market Highlights

3. Market Overview

• Market Size and Growth Potential
• Market Trends
• Market Drivers
• Market Restraints
• Market Opportunities
• Porter's Five Forces Analysis

4. User And Entity Behavior Analytics Market, By Type

• Solutions
• Services

5. User And Entity Behavior Analytics Market, By Deployment Type

• On-premises
• Cloud-based

6. Regional Analysis

• North America
• United States
• Canada
• Mexico
• Europe
• United Kingdom
• Germany
• France
• Italy
• Asia-Pacific
• China
• Japan
• India
• Australia
• Latin America
• Brazil
• Argentina
• Chile
• Middle East and Africa
• South Africa
• Saudi Arabia
• UAE

7. Market Dynamics

• Market Drivers
• Market Restraints
• Market Opportunities
• Impact of COVID-19 on the Market

8. Competitive Landscape

• Key Players
• Market Share Analysis

9. Company Profiles

• Splunk Inc.
• IBM Security (QRadar SIEM with UEBA module)
• Palo Alto Networks
• MacAfee
• Fortinet
• Cisco

10. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

11. Appendix

• List of Abbreviations
• Sources and References