The global market for User and Entity Behavior Analytics was valued at US$2.6 Billion in 2024 and is projected to reach US$18.7 Billion by 2030, growing at a CAGR of 39.3% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the User and Entity Behavior Analytics market.
The implementation of user and entity behavior analytics involves collecting and analyzing vast amounts of data from various sources, such as logs, network traffic, and endpoint activity. This data is then processed using algorithms that can identify patterns and correlations indicative of normal and abnormal behavior. One of the critical components of user and entity behavior analytics is its ability to integrate with existing security information and event management (SIEM) systems, enhancing their effectiveness by adding a layer of behavioral analysis. Furthermore, user and entity behavior analytics solutions often come equipped with automated response capabilities, allowing for immediate action to mitigate identified threats. The use of artificial intelligence (AI) and machine learning in user and entity behavior analytics not only improves the accuracy of threat detection but also reduces the number of false positives, enabling security teams to focus on genuine threats.
The growth in the user and entity behavior analytics market is driven by several factors, including the increasing focus of companies on insider threats to protect business-critical data or economic and national data. The increasing popularity of user and entity behavior analytics tools is also attributed to their numerous merits including insider threat detection, fraud prevention, protection from data exfiltration attempts, IP data security and actionable risk information. These solutions are rapidly emerging as effective options against comprehensive fraud attempts and cyber threats. The increasing complexity and frequency of cyber threats are compelling organizations to adopt more sophisticated security solutions. Advances in AI and machine learning technologies have significantly enhanced the capabilities of user and entity behavior analytics, making them more effective and easier to deploy. The growing volume of data generated by enterprises requires robust analytics solutions capable of handling and making sense of this information. Additionally, regulatory requirements and compliance standards, such as GDPR and HIPAA, mandate rigorous monitoring and protection of sensitive data, driving the adoption of user and entity behavior analytics solutions. The rise of remote work and the proliferation of cloud services have expanded the attack surface for organizations, further emphasizing the need for advanced behavioral analytics to secure dispersed networks. These factors, coupled with the ongoing innovation in cybersecurity technologies, are expected to fuel the growth of the user and entity behavior analytics market in the coming years.
Segments: Type (Solutions, Services); Deployment (On-Premise, Cloud); Vertical (Financial Services & Insurance, Retail & eCommerce, IT & Telecom, Energy & Utilities, Healthcare, Other Verticals).
Geographic Regions/Countries: World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Rest of Europe; Asia-Pacific; Rest of World.
The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
Global User and Entity Behavior Analytics Market - Key Trends & Drivers Summarized
User and Entity Behavior Analytics is an advanced cybersecurity approach that focuses on detecting anomalies in the behavior of users and entities within an organization’s network. Unlike traditional security methods that rely on predefined rules and signatures, user and entity behavior analytics use machine learning and statistical analysis to establish a baseline of normal behavior and then identifies deviations that could indicate potential security threats. This includes unusual login patterns, irregular data access, and atypical network activities. By monitoring and analyzing the behavior of users, devices, applications, and other entities, user and entity behavior analytics provide a more comprehensive and dynamic method of threat detection, capable of identifying sophisticated attacks such as insider threats, compromised accounts, and advanced persistent threats (APTs).The implementation of user and entity behavior analytics involves collecting and analyzing vast amounts of data from various sources, such as logs, network traffic, and endpoint activity. This data is then processed using algorithms that can identify patterns and correlations indicative of normal and abnormal behavior. One of the critical components of user and entity behavior analytics is its ability to integrate with existing security information and event management (SIEM) systems, enhancing their effectiveness by adding a layer of behavioral analysis. Furthermore, user and entity behavior analytics solutions often come equipped with automated response capabilities, allowing for immediate action to mitigate identified threats. The use of artificial intelligence (AI) and machine learning in user and entity behavior analytics not only improves the accuracy of threat detection but also reduces the number of false positives, enabling security teams to focus on genuine threats.
The growth in the user and entity behavior analytics market is driven by several factors, including the increasing focus of companies on insider threats to protect business-critical data or economic and national data. The increasing popularity of user and entity behavior analytics tools is also attributed to their numerous merits including insider threat detection, fraud prevention, protection from data exfiltration attempts, IP data security and actionable risk information. These solutions are rapidly emerging as effective options against comprehensive fraud attempts and cyber threats. The increasing complexity and frequency of cyber threats are compelling organizations to adopt more sophisticated security solutions. Advances in AI and machine learning technologies have significantly enhanced the capabilities of user and entity behavior analytics, making them more effective and easier to deploy. The growing volume of data generated by enterprises requires robust analytics solutions capable of handling and making sense of this information. Additionally, regulatory requirements and compliance standards, such as GDPR and HIPAA, mandate rigorous monitoring and protection of sensitive data, driving the adoption of user and entity behavior analytics solutions. The rise of remote work and the proliferation of cloud services have expanded the attack surface for organizations, further emphasizing the need for advanced behavioral analytics to secure dispersed networks. These factors, coupled with the ongoing innovation in cybersecurity technologies, are expected to fuel the growth of the user and entity behavior analytics market in the coming years.
Report Scope
The report analyzes the User and Entity Behavior Analytics market, presented in terms of units. The analysis covers the key segments and geographic regions outlined below.Segments: Type (Solutions, Services); Deployment (On-Premise, Cloud); Vertical (Financial Services & Insurance, Retail & eCommerce, IT & Telecom, Energy & Utilities, Healthcare, Other Verticals).
Geographic Regions/Countries: World; USA; Canada; Japan; China; Europe; France; Germany; Italy; UK; Rest of Europe; Asia-Pacific; Rest of World.
Key Insights:
- Market Growth: Understand the significant growth trajectory of the Solutions segment, which is expected to reach US$8.9 Billion by 2030 with a CAGR of a 33.7%. The Services segment is also set to grow at 46.1% CAGR over the analysis period.
- Regional Analysis: Gain insights into the U.S. market, valued at $715.5 Million in 2024, and China, forecasted to grow at an impressive 47.9% CAGR to reach $3.9 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.
Why You Should Buy This Report:
- Detailed Market Analysis: Access a thorough analysis of the Global User and Entity Behavior Analytics Market, covering all major geographic regions and market segments.
- Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
- Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global User and Entity Behavior Analytics Market.
- Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.
Key Questions Answered:
- How is the Global User and Entity Behavior Analytics Market expected to evolve by 2030?
- What are the main drivers and restraints affecting the market?
- Which market segments will grow the most over the forecast period?
- How will market shares for different regions and segments change by 2030?
- Who are the leading players in the market, and what are their prospects?
Report Features:
- Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
- In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
- Company Profiles: Coverage of players such as Broadcom Inc., Citrix Systems, Inc., Amazon Web Services, Inc., Akamai Technologies, Inc., Centrify Corporation and more.
- Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.
Some of the 64 companies featured in this User and Entity Behavior Analytics market report include:
- Broadcom Inc.
- Citrix Systems, Inc.
- Amazon Web Services, Inc.
- Akamai Technologies, Inc.
- Centrify Corporation
- Aruba, a Hewlett Packard Enterprise Company
- CipherCloud
- Code 42 Software, Inc.
- Darktrace Holdings Limited
- ARCON
- Contentsquare
- Datiphy Inc.
- Cynet Security Ltd
- BlackFog, Inc.
- Blumira
Tariff Impact Analysis: Key Insights for 2025
Global tariff negotiations across 180+ countries are reshaping supply chains, costs, and competitiveness. This report reflects the latest developments as of April 2025 and incorporates forward-looking insights into the market outlook.The analysts continuously track trade developments worldwide, drawing insights from leading global economists and over 200 industry and policy institutions, including think tanks, trade organizations, and national economic advisory bodies. This intelligence is integrated into forecasting models to provide timely, data-driven analysis of emerging risks and opportunities.
What’s Included in This Edition:
- Tariff-adjusted market forecasts by region and segment
- Analysis of cost and supply chain implications by sourcing and trade exposure
- Strategic insights into geographic shifts
Buyers receive a free July 2025 update with:
- Finalized tariff impacts and new trade agreement effects
- Updated projections reflecting global sourcing and cost shifts
- Expanded country-specific coverage across the industry
Table of Contents
I. METHODOLOGYMII. EXECUTIVE SUMMARY2. FOCUS ON SELECT PLAYERSIII. MARKET ANALYSISCANADAITALYREST OF EUROPEREST OF WORLDIV. COMPETITION
1. MARKET OVERVIEW
3. MARKET TRENDS & DRIVERS
4. GLOBAL MARKET PERSPECTIVE
UNITED STATES
JAPAN
CHINA
EUROPE
FRANCE
GERMANY
UNITED KINGDOM
ASIA-PACIFIC
Companies Mentioned (Partial List)
A selection of companies mentioned in this report includes, but is not limited to:
- Broadcom Inc.
- Citrix Systems, Inc.
- Amazon Web Services, Inc.
- Akamai Technologies, Inc.
- Centrify Corporation
- Aruba, a Hewlett Packard Enterprise Company
- CipherCloud
- Code 42 Software, Inc.
- Darktrace Holdings Limited
- ARCON
- Contentsquare
- Datiphy Inc.
- Cynet Security Ltd
- BlackFog, Inc.
- Blumira
Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 373 |
| Published | April 2025 |
| Forecast Period | 2024 - 2030 |
| Estimated Market Value ( USD | $ 2.6 Billion |
| Forecasted Market Value ( USD | $ 18.7 Billion |
| Compound Annual Growth Rate | 39.3% |
| Regions Covered | Global |
