2024 年至 2031 年按类型、部署类型和地区划分的使用者和实体行为分析 (UEBA) 市场

使用者和实体行为分析 (UEBA) 市场评估，2024-2031 年

随着网路攻击越来越复杂，IT 环境也越来越复杂，企业必须应对进阶持续性威胁、勒索软体攻击、内部威胁等。性和洞察力。预计到 2024 年市场规模将超过 10.3554 亿美元，到 2031 年将达到 112.1559 亿美元。

此外，将人工智慧 (AI) 和机器学习 (ML) 整合到 UEBA 系统中将提高威胁侦测和回应的准确性和有效性。此外，资料保护和网路安全的法律要求日益严格，迫使企业投资于先进的安全解决方案，推动各行业对UEBA 的需求，预计2024 年至2031 年的复合年增长率约为40.50%。将发生。

使用者和实体行为分析 (UEBA) 市场：定义/概述

使用者和实体行为分析 (UEBA) 是高阶分析和机器学习技术的应用，用于监控和评估组织资讯科技环境中使用者和实体的行为。UEBA 透过建立典型行为基准并识别偏差，帮助侦测潜在的安全威胁，包括内部威胁、受损帐户和进阶持续性威胁。用途包括改进威胁侦测、改善事件回应和全面加强网路安全态势。预计人工智慧和机器学习的进步将实现更复杂、更准确的威胁侦测，这使得 UEBA 的未来充满乐观。随着企业优先考虑网路安全和法规合规性，UEBA 将在提供可操作的见解和防范不断演变的网路威胁方面发挥关键作用。

人工智慧和机器学习的日益普及会推动用户和实体行为分析 (UEBA) 市场的发展吗？

人工智慧 (AI) 和机器学习 (ML) 的使用日益增多，正在推动使用者和实体行为分析 (UEBA) 市场的发展。人工智慧和机器学习技术提高了 UEBA 解决方案的能力，使其能够更准确、更有效率地分析大量数据。这些技术可以检测到可能表明存在安全漏洞的细微行为异常和趋势，例如内部威胁、受损帐户或进阶持续性威胁。因此，企业越来越依赖 AI 和 ML 驱动的 UEBA 解决方案来加强其网路安全防御并侦测和应对进阶网路威胁。

2024年5月，以数据分析闻名的公司Splunk宣布将把强大的机器学习演算法融入其UEBA平台。此整合旨在透过使用机器学习模型即时评估使用者和物件行为来提高威胁侦测的准确性和速度。这些改进显示了 AI 和 ML 如何彻底改变 UEBA 系统，使其更有效地侦测和减轻新出现的网路威胁。

此外，网路安全营运对可扩展性和自动化的要求正在推动人工智慧和机器学习在 UEBA 中的使用。随着业务的扩展和 IT 环境变得越来越复杂，手动监控和分析使用者行为变得不可能。人工智慧和机器学习技术实现了管理大量资料和自动化威胁侦测操作所需的可扩展性。

增加实施复杂性会阻碍使用者和实体行为分析 (UEBA) 市场的成长吗？

实施复杂性的不断上升是阻碍使用者和实体行为分析 (UEBA) 产业发展的关键因素。实施 UEBA 解决方案需要将人工智慧 (AI) 和机器学习 (ML) 等新技术整合到现有 IT 基础设施中，这可能是一个具有课题性且资源密集的过程。为了获得正确的行为洞察，组织必须可靠地捕获、标准化和有效地分析数据。这种复杂性可能会阻碍 IT 资源较少的小型组织采用 UEBA 解决方案，从而减缓整体市场的成长。

此外，将 UEBA 与其他安全系统（例如安全资讯和事件管理 (SIEM) 平台）整合可能会引发更多问题。确保各种安全措施之间的无缝相容性需要先进的技术知识和持续的维护。例如，配置 UEBA 以与现有 SIEM 系统和其他安全应用程式良好配合可能很困难，从而导致整合课题并增加营运成本。这种复杂性可能会导致较长的实施时间，并阻碍对 UEBA 解决方案的投资，尤其是在内部不具备必要知识的情况下。

此外，网路威胁的不断演变意味着 UEBA 系统必须不断适应和改进才能取得成功。这需要不断更新和微调人工智慧和机器学习模型，从而使实施和维护过程变得复杂。组织可能难以满足这些需求，尤其是那些没有专门网路安全团队的组织。

目录

第 1 章 简介

• 市场定义
• 市场细分
• 调查方法

第 2 章执行摘要

• 主要发现
• 市场概况
• 市集亮点

第3章市场概况

• 市场规模和成长潜力
• 市场趋势
• 市场驱动力
• 市场制约因素
• 市场机会
• 波特五力分析

第4章使用者和实体行为分析 (UEBA) 市场按类型

• 解决方案
• 服务

第5章按部署类型划分的使用者和实体行为分析 (UEBA) 市场

• 本地
• 基于云的

第6章 区域分析

• 北美
• 美国
• 加拿大
• 墨西哥
• 欧洲
• 英国
• 德国
• 法国
• 义大利
• 亚太地区
• 中国
• 日本
• 印度
• 澳洲
• 拉丁美洲
• 巴西
• 阿根廷
• 智利
• 中东/非洲
• 南非
• 沙乌地阿拉伯
• 阿拉伯联合酋长国

第7章 市场动态

• 市场驱动力
• 市场制约因素
• 市场机会
• COVID-19 的市场影响

第8章 竞争格局

• 大公司
• 市场占有率分析

第9章 公司简介

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

第10章市场前景与机遇

• 新兴技术
• 未来市场趋势
• 投资机会

第 11 章 附录

• 缩写表
• 来源和参考文献

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