Behavior Analytics Market Size & Share Analysis - Growth Trends And Forecast (2024 - 2031)
By Component;
Software and ServicesBy Deployment;
Cloud-Based, Hybrid and On-PremisesBy Organization Size;
Large Enterprises and Small & Medium Enterprises (SMEs)By Application;
Fraud Detection & Prevention, Risk & Compliance Management, Identity & Access Management (IAM), Customer Experience Management, Insider Threat Detection and Cybersecurity & Threat IntelligenceBy Vertical;
IT & Telecom, BFSI, Healthcare, Manufacturing, Retail & E-Commerce, Government & Defense and OthersBy Geography;
North America, Europe, Asia Pacific, Middle East & Africa and Latin America - Report Timeline (2021 - 2031)Behavior Analytics Market Overview
Behavior Analytics Market (USD Million)
Behavior Analytics Market was valued at USD 3,246.74 million in the year 2024. The size of this market is expected to increase to USD 34,224.98 million by the year 2031, while growing at a Compounded Annual Growth Rate (CAGR) of 40.0%.
Behavior Analytics Market
*Market size in USD million
CAGR 40.0 %
| Study Period | 2026 - 2032 |
|---|---|
| Base Year | 2025 |
| CAGR (%) | 40.0 % |
| Market Size (2025) | USD 3,246.74 Million |
| Market Size (2032) | USD 34,224.98 Million |
| Market Concentration | Low |
| Report Pages | 398 |
Major Players
- Splunk Inc.
- IBM Corporation
- Microsoft Corporation
- SAS Institute Inc.
- Rapid7, Inc.
- Securonix, Inc.
- Exabeam, Inc.
- Verint Systems Inc.
- Forcepoint LLC
- Balbix Inc.
Market Concentration
Consolidated - Market dominated by 1 - 5 major players
Behavior Analytics Market
Fragmented - Highly competitive market without dominant players
Behavior Analytics Market is evolving as enterprises focus on strengthening security intelligence, mitigating risks, and enhancing decision-making. Adoption of behavior analytics solutions has reached nearly 45%, as organizations leverage real-time monitoring and anomaly detection. This technology empowers businesses to identify suspicious activities and generate actionable insights for operational efficiency.
Key Drivers Accelerating Growth
The growing emphasis on fraud detection and insider threat prevention is significantly boosting demand. Close to 50% of enterprises use behavior-based monitoring tools to protect sensitive information. These systems enable real-time activity tracking, reduce vulnerabilities, and enhance compliance with evolving regulatory frameworks.
Advancements Strengthening Market Adoption
The integration of AI and machine learning is making analytics more adaptive and precise. Around 55% of organizations employ AI-driven behavior analytics to minimize false alerts and generate predictive insights. These innovations empower enterprises to detect hidden risks faster, streamline processes, and make data-driven decisions with improved accuracy.
Shift Towards Cloud-based Platforms
Enterprises are increasingly migrating to cloud-based behavior analytics solutions for scalability and cost efficiency. Over 60% of businesses now prefer cloud adoption, enabling seamless monitoring across distributed environments. This transition ensures flexible deployment, faster access to analytics, and improved collaboration for enhanced security frameworks.
Behavior Analytics Market Key Takeaways
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Behavior Analytics Market is growing rapidly as organizations prioritize cybersecurity, insider threat detection, fraud prevention, and data-driven user behavior insights.
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Behavior analytics solutions use machine learning, statistical modeling, and AI to identify anomalies in user, entity, and system behavior across digital environments.
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Key components include User and Entity Behavior Analytics (UEBA), identity analytics, security analytics, fraud analytics, and customer behavior analytics.
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Major applications span cybersecurity, BFSI fraud detection, e-commerce behavior insights, employee monitoring, healthcare data protection, and IT operations analytics.
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North America leads due to strong cybersecurity infrastructure and digital enterprises, while Asia-Pacific shows rapid expansion driven by cloud adoption and rising cyber threats.
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Challenges include privacy concerns, integration with legacy systems, high implementation costs, and the need for high-quality data inputs.
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Future opportunities lie in AI-powered predictive behavior models, cloud-native UEBA platforms, real-time threat intelligence, behavioral biometrics, and automation-driven security ecosystems.
Behavior Analytics Market Recent Developments
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April 2025: Enterprises are increasingly adopting cloud-based behavior analytics solutions with AI/ML-driven anomaly detection for both customer insights and insider threat prevention.
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Augest 2024: Vendors focused on expanding their services offerings such as consulting and implementation to complement analytics platforms and support SME adoption of behavior analytics.
Behavior Analytics Market Segment Analysis
In this report, Behavior Analytics Market has been segmented by Component, Deployment, Organization Size, Application, Vertical, and Geography.
Behavior Analytics Market, Segmentation by Component
The market is segmented by Component into Software and Services. The software segment holds the largest share, driven by the increasing demand for advanced analytics tools that enable organizations to analyze user behavior in real time. The services segment, however, is growing rapidly, fueled by the increasing need for consulting and managed services for implementing behavior analytics solutions.
Software
Software is the primary component in behavior analytics solutions, providing the tools and platforms for real-time analysis of user behaviors across applications and systems. The demand for software is growing as businesses increasingly rely on AI-driven analytics and machine learning models to enhance decision-making, improve customer experiences, and mitigate risks.
Services
Services include consulting, integration, and managed services that help organizations deploy and maintain behavior analytics solutions. The growth of this segment is driven by the need for expert guidance in deploying behavior analytics platforms and ensuring that the systems align with business objectives and regulatory requirements. Services are essential for businesses that require tailored solutions and ongoing support to maximize the value of behavior analytics.
Behavior Analytics Market, Segmentation by Deployment
The market is segmented by Deployment into Cloud-Based, Hybrid, and On-Premises models. Cloud-based deployment is leading the market due to its flexibility, scalability, and cost-efficiency. However, hybrid and on-premises solutions remain important for industries requiring strict data control and security.
Cloud-Based
Cloud-based deployment is the most widely adopted due to its flexibility, scalability, and lower upfront costs. Cloud platforms provide businesses with the ability to store, process, and analyze large volumes of behavioral data, making them an attractive option for small and medium-sized enterprises (SMEs) as well as large enterprises seeking to reduce infrastructure costs and increase operational efficiency.
Hybrid
Hybrid deployment offers the benefits of both cloud and on-premises solutions, allowing organizations to store sensitive data on-premises while leveraging the cloud for data analysis and storage. This model is preferred by organizations in industries such as banking and healthcare, where compliance and security are key considerations but the flexibility of the cloud is still needed.
On-Premises
On-premises deployment is preferred by organizations that require full control over their data and analytics infrastructure. This model is particularly common in government, defense, and financial institutions, where data security, compliance, and privacy regulations are paramount.
Behavior Analytics Market, Segmentation by Organization Size
The market is segmented by Organization Size into Large Enterprises and Small & Medium Enterprises (SMEs). Large enterprises are leading in terms of market share, owing to their larger data sets and higher budgets for advanced analytics solutions. However, SMEs are rapidly adopting behavior analytics due to the availability of cost-effective cloud-based solutions.
Large Enterprises
Large enterprises have the resources and infrastructure to implement behavior analytics solutions at scale. These organizations require advanced analytics to process large volumes of user data, identify patterns, and optimize decision-making processes. The increasing need for risk management and fraud detection is fueling the adoption of behavior analytics in large enterprises.
Small & Medium Enterprises (SMEs)
Small & Medium Enterprises (SMEs) are increasingly adopting behavior analytics solutions due to the availability of cloud-based platforms that offer flexible, scalable, and affordable options. SMEs are leveraging behavior analytics to improve customer experiences, enhance marketing strategies, and mitigate risks, without the large upfront costs associated with traditional on-premises solutions.
Behavior Analytics Market, Segmentation by Application
The market is segmented by Application into Fraud Detection & Prevention, Risk & Compliance Management, Identity & Access Management (IAM), Customer Experience Management, Insider Threat Detection, and Cybersecurity & Threat Intelligence. Fraud detection and prevention is one of the leading applications, driving the adoption of behavior analytics across various industries.
Fraud Detection & Prevention
Fraud detection and prevention is one of the primary applications of behavior analytics. By analyzing patterns in user behavior, businesses can detect fraudulent activities in real-time, reducing the risk of financial losses. This application is widely used in the banking, insurance, and e-commerce sectors.
Risk & Compliance Management
Risk and compliance management is essential for businesses in heavily regulated industries such as finance and healthcare. Behavior analytics helps these organizations identify potential risks, ensure regulatory compliance, and implement controls to mitigate data breaches and other security threats.
Identity & Access Management (IAM)
Identity & Access Management (IAM) leverages behavior analytics to monitor user access and detect any unauthorized activities. By analyzing user behavior, businesses can improve security protocols, ensuring that only authorized personnel have access to sensitive data.
Customer Experience Management
Customer experience management utilizes behavior analytics to understand consumer preferences, predict future behaviors, and personalize interactions. This application helps businesses optimize marketing strategies and improve customer engagement, thereby increasing retention and satisfaction.
Insider Threat Detection
Insider threat detection is becoming increasingly important in organizations with sensitive data. By monitoring employee behavior and access patterns, businesses can detect potential insider threats, such as data breaches or fraud, before they escalate into serious issues.
Cybersecurity & Threat Intelligence
Cybersecurity and threat intelligence benefit from behavior analytics by identifying abnormal patterns that may indicate cyber threats. By analyzing user behavior in real-time, organizations can quickly respond to potential attacks, thereby enhancing their overall cybersecurity posture.
Behavior Analytics Market, Segmentation by Vertical
The market is segmented by Vertical into IT & Telecom, BFSI, Healthcare, Manufacturing, Retail & E-Commerce, Government & Defense, and Others. The IT & Telecom and BFSI sectors are major drivers of growth due to the increasing need for cybersecurity and fraud prevention.
IT & Telecom
The IT & Telecom sector is one of the largest adopters of behavior analytics, utilizing these solutions for cybersecurity, fraud detection, and customer experience optimization. Telecom companies use behavior analytics to monitor network activity and identify unusual patterns that could indicate security threats.
BFSI
The BFSI (Banking, Financial Services, and Insurance) sector is a key adopter of behavior analytics, where these solutions help detect fraudulent activities, monitor transactions in real-time, and ensure regulatory compliance. Banks and insurers are increasingly using behavior analytics for fraud detection, risk management, and customer service enhancement.
Healthcare
Healthcare organizations are adopting behavior analytics to enhance patient care, manage risks, and secure sensitive data. By analyzing patient behaviors, healthcare providers can personalize treatments, improve outcomes, and identify potential risks early on.
Manufacturing
Manufacturing industries use behavior analytics to monitor production processes, optimize operations, and reduce risks associated with machinery and workers. Behavior analytics is also used to enhance workplace safety and improve supply chain efficiency.
Retail & E-Commerce
The retail and e-commerce sectors use behavior analytics to track consumer preferences, optimize marketing strategies, and prevent fraud. By analyzing purchase behaviors, retailers can improve customer engagement, increase sales, and enhance the shopping experience.
Government & Defense
Government and defense sectors are adopting behavior analytics to strengthen national security, detect insider threats, and monitor intelligence data. These solutions help ensure that sensitive information remains secure while optimizing operations across government and defense agencies.
Behavior Analytics Market, Segmentation by Geography
In this report, the Behavior Analytics Market has been segmented by Geography into five regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin America. Each region exhibits unique growth dynamics driven by technological advancements, regulatory demands, and the need for enhanced security measures.
Regions and Countries Analyzed in this Report
North America
North America is the largest market for behavior analytics, driven by increasing adoption in sectors like BFSI, IT, and healthcare. The demand for cybersecurity and fraud prevention solutions is propelling the market in the U.S. and Canada.
Europe
Europe’s market is expanding, particularly in the UK, Germany, and France, where regulatory compliance and data security are key drivers. The region is adopting behavior analytics to enhance fraud detection and customer experience management.
Asia Pacific
Asia Pacific is the fastest-growing region, with rapid technological advancements in countries like China, India, and Japan. The demand for behavior analytics is increasing in sectors such as telecommunications, e-commerce, and manufacturing.
Middle East & Africa
The Middle East & Africa region is witnessing steady growth, with governments and defense sectors increasingly adopting behavior analytics for security and risk management.
Latin America
Latin America’s market is growing, driven by demand from the banking and retail sectors in countries like Brazil and Mexico. The increasing focus on fraud detection and cybersecurity is fueling the adoption of behavior analytics in the region.
Behavior Analytics Market Forces
This report provides an in depth analysis of various factors that impact the dynamics of Behavior Analytics Market. These factors include; Market Drivers, Restraints and Opportunities Analysis.
Comprehensive Market Impact Matrix
This matrix outlines how core market forces Drivers, Restraints, and Opportunities affect key business dimensions including Growth, Competition, Customer Behavior, Regulation, and Innovation.
| Market Forces ↓ / Impact Areas → | Market Growth Rate | Competitive Landscape | Customer Behavior | Regulatory Influence | Innovation Potential |
|---|---|---|---|---|---|
| Drivers | High impact (e.g., tech adoption, rising demand) | Encourages new entrants and fosters expansion | Increases usage and enhances demand elasticity | Often aligns with progressive policy trends | Fuels R&D initiatives and product development |
| Restraints | Slows growth (e.g., high costs, supply chain issues) | Raises entry barriers and may drive market consolidation | Deters consumption due to friction or low awareness | Introduces compliance hurdles and regulatory risks | Limits innovation appetite and risk tolerance |
| Opportunities | Unlocks new segments or untapped geographies | Creates white space for innovation and M&A | Opens new use cases and shifts consumer preferences | Policy shifts may offer strategic advantages | Sparks disruptive innovation and strategic alliances |
Drivers, Restraints and Opportunity Analysis
Drivers
- Data-driven decisions
- Cybersecurity concerns
- Regulatory compliance
- Increasing digitalization
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Demand for insights : The increasing demand for insights is a significant driver of the Behavior Analytics Market. Organizations across various industries are recognizing the value of data-driven decision-making and leveraging behavior analytics to gain actionable insights. With the exponential growth of data generated from digital interactions, there is a pressing need to extract meaningful insights to improve business strategies, customer experiences, and operational efficiencies. Behavior analytics solutions offer advanced analytics capabilities, including pattern recognition, anomaly detection, and predictive modeling, enabling businesses to derive valuable insights from vast datasets.
One of the key aspects driving the demand for insights is the competitive landscape. In today's highly competitive markets, organizations are constantly seeking ways to gain a competitive edge. Behavior analytics provides a strategic advantage by uncovering hidden patterns, trends, and correlations within data, empowering businesses to make informed decisions and stay ahead of the competition. This demand is further fueled by the increasing complexity of consumer behavior, market dynamics, and regulatory requirements, necessitating advanced analytical tools to navigate and capitalize on emerging opportunities.
The demand for insights extends beyond traditional business applications to areas such as cybersecurity, risk management, and fraud detection. Behavior analytics plays a crucial role in identifying abnormal behaviors, detecting potential threats or fraudulent activities, and mitigating risks proactively. As cybersecurity concerns escalate and regulatory pressures intensify, organizations are investing in behavior analytics solutions to enhance their security posture, comply with regulations, and safeguard sensitive data. Overall, the demand for insights is a driving force behind the continued growth and adoption of behavior analytics across diverse industries and use cases.
Restraints
- Data privacy issues
- Implementation complexity
- Limited awareness
- Budget constraints
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Integration challenges : Integration challenges pose significant restraints in the Global Behavior Analytics Market. One of the primary challenges is the integration of behavior analytics solutions with existing IT infrastructure and data sources. Many organizations struggle with legacy systems, siloed data, and disparate technologies, making it difficult to seamlessly integrate behavior analytics tools. This integration complexity not only delays implementation but also hinders the ability to derive comprehensive insights from unified datasets. Addressing these integration challenges requires strategic planning, robust integration frameworks, and collaboration across IT and analytics teams.
Another aspect of integration challenges relates to data quality and governance. Behavior analytics relies heavily on high-quality, clean data to generate accurate insights. However, organizations often face data quality issues, including incomplete, inconsistent, or outdated data, which can impact the effectiveness of behavior analytics initiatives. Poor data governance practices further exacerbate these challenges, leading to data silos, duplication, and data access issues. Overcoming integration challenges requires a holistic approach to data management, encompassing data quality assurance, data governance frameworks, and data integration best practices.
Integration challenges extend to the scalability and agility of behavior analytics solutions. As organizations scale their analytics initiatives and adopt more sophisticated analytics techniques, they encounter scalability limitations with existing infrastructure and tools. Scalability challenges can hinder the ability to process large volumes of data, perform real-time analytics, and handle complex analytical models. Additionally, the rapid pace of technological advancements and evolving business requirements necessitate agile and flexible analytics platforms that can adapt to changing needs. Overcoming integration challenges requires investments in scalable, agile analytics solutions that can seamlessly integrate with diverse data sources and support advanced analytics capabilities.
Opportunities
- Predictive analytics adoption
- Industry-specific solutions
- AI and ML integration
- Emerging markets expansion
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Continuous innovation : Continuous innovation presents significant opportunities in the Behavior Analytics Market. As organizations strive to extract actionable insights and derive value from data, there is a growing emphasis on continuous innovation in behavior analytics solutions. This includes advancements in AI (Artificial Intelligence) and ML (Machine Learning) algorithms, predictive analytics capabilities, real-time analytics, and automation of analytical processes. Continuous innovation enables behavior analytics solutions to evolve rapidly, address emerging challenges, and deliver enhanced functionalities that meet the evolving needs of businesses.
One area of continuous innovation is the development of AI-driven behavior analytics solutions. AI-powered analytics leverage advanced algorithms and deep learning techniques to analyze vast datasets, detect complex patterns, and predict future behaviors. These AI-driven insights enable organizations to make proactive decisions, identify opportunities, mitigate risks, and optimize business performance. Continuous innovation in AI and ML integration enhances the accuracy, scalability, and predictive capabilities of behavior analytics solutions, unlocking new opportunities for value creation across industries.
Continuous innovation extends to the development of industry-specific behavior analytics solutions. Organizations are increasingly demanding tailored analytics solutions that address industry-specific challenges, compliance requirements, and use cases. For example, behavior analytics solutions for healthcare focus on patient outcomes, fraud detection, and regulatory compliance, while solutions for finance emphasize risk management, fraud prevention, and customer insights. Continuous innovation in industry-specific solutions enhances relevance, customization, and effectiveness, driving adoption and market growth in diverse sectors. By continuously innovating and adapting to market demands, behavior analytics providers can capitalize on new opportunities, differentiate their offerings, and stay ahead in a competitive landscape.
Behavior Analytics Market Competitive Landscape Analysis
Behavior Analytics Market is becoming increasingly competitive as enterprises adopt advanced tools for security, fraud detection, and customer insights. Leading vendors emphasize collaboration, enterprise partnerships, and targeted merger strategies to strengthen platforms. Nearly 63% of the market share is concentrated among cybersecurity and analytics leaders, while startups drive innovation and growth with AI-driven behavior analysis solutions.
Market Structure and Concentration
The market demonstrates medium-to-high concentration, with about 66% dominated by global analytics and cybersecurity firms. Smaller providers pursue niche strategies in insider threat detection, fraud monitoring, and user experience optimization. Strong collaboration with enterprises and financial institutions sustains competitiveness, while expansion into cloud-based deployments ensures steady growth across multiple industries.
Brand and Channel Strategies
Brand positioning emphasizes accuracy, security, and scalability, with nearly 57% of contracts secured through enterprise SaaS partnerships. Companies apply strategies to integrate behavior analytics with SIEM, CRM, and fraud detection platforms. Marketing highlights innovation in real-time monitoring, predictive insights, and cross-channel analytics, ensuring continuous growth in cybersecurity and customer engagement applications.
Innovation Drivers and Technological Advancements
Around 62% of R&D investment is directed toward technological advancements in AI, machine learning, and big data integration. Vendors prioritize innovation that enhances anomaly detection and user profiling. Increased collaboration with enterprises fosters partnerships that accelerate growth, making behavior analytics a core enabler of digital transformation and proactive threat management.
Regional Momentum and Expansion
North America leads with nearly 44% of demand, supported by cybersecurity strategies and financial sector adoption. Europe accounts for about 33% with regulatory-driven innovation in data protection, while Asia-Pacific records rapid double-digit growth through cloud expansion and digitalization initiatives. Regional partnerships and technology collaboration reinforce competitiveness across enterprises worldwide.
Future Outlook
The future outlook signals strong growth as organizations invest in proactive risk management, fraud prevention, and customer behavior insights. Nearly 49% of providers plan expansion into AI-enabled predictive analytics and cloud-native platforms. Sustained partnerships, continued innovation, and advanced technological advancements will define competitiveness, ensuring behavior analytics remains integral to enterprise security and intelligence.
Key players in Behavior Analytics Market include:
- Splunk Inc.
- IBM Corporation
- Microsoft Corporation
- SAS Institute Inc.
- Rapid7, Inc.
- Securonix, Inc.
- Exabeam, Inc.
- Verint Systems Inc.
- Forcepoint LLC
- Balbix Inc.
In this report, the profile of each market player provides following information:
- Market Share Analysis
- Company Overview and Product Portfolio
- Key Developments
- Financial Overview
- Strategies
- Company SWOT Analysis
- Introduction
- Research Objectives and Assumptions
- Research Methodology
- Abbreviations
- Market Definition & Study Scope
- Executive Summary
- Market Snapshot, By Component
- Market Snapshot, By Deployment
- Market Snapshot, By Organization Size
- Market Snapshot, By Application
- Market Snapshot, By Vertical
- Market Snapshot, By Region
- Behavior Analytics Market Forces
- Drivers, Restraints and Opportunities
- Drivers
- Data-driven decisions
- Cybersecurity concerns
- Regulatory compliance
- Increasing digitalization
- Demand for insights
- Restraints
- Data privacy issues
- Implementation complexity
- Limited awareness
- Budget constraints
- Integration challenges
- Opportunities
- Predictive analytics adoption
- Industry-specific solutions
- AI and ML integration
- Emerging markets expansion
- Continuous innovation
- Drivers
- PEST Analysis
- Political Analysis
- Economic Analysis
- Social Analysis
- Technological Analysis
- Porter's Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- Drivers, Restraints and Opportunities
- Market Segmentation
- Behavior Analytics Market, By Component, 2021 - 2031 (USD Million)
- Software
- Services
- Behavior Analytics Market, By Deployment, 2021 - 2031 (USD Million)
- Cloud-Based
- Hybrid
- On-Premises
- Behavior Analytics Market, By Organization Size, 2021 - 2031 (USD Million)
- Large Enterprises
- Small & Medium Enterprises (SMEs)
- Behavior Analytics Market, By Application, 2021 - 2031 (USD Million)
- Fraud Detection & Prevention
- Risk & Compliance Management
- Identity & Access Management (IAM)
- Customer Experience Management
- Insider Threat Detection
- Cybersecurity & Threat Intelligence
- Behavior Analytics Market, By Vertical, 2021 - 2031 (USD Million)
- IT & Telecom
- BFSI
- Healthcare
- Manufacturing
- Retail & E-Commerce
- Government & Defense
- Others
- Behavior Analytics Market, By Geography, 2021 - 2031 (USD Million)
- North America
- United States
- Canada
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Nordic
- Benelux
- Rest of Europe
- Asia Pacific
- Japan
- China
- India
- Australia & New Zealand
- South Korea
- ASEAN (Association of South East Asian Countries)
- Rest of Asia Pacific
- Middle East & Africa
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
- Latin America
- Brazil
- Mexico
- Argentina
- Rest of Latin America
- North America
- Behavior Analytics Market, By Component, 2021 - 2031 (USD Million)
- Competitive Landscape
- Company Profiles
- Splunk Inc.
- IBM Corporation
- Microsoft Corporation
- SAS Institute Inc.
- Rapid7, Inc.
- Securonix, Inc.
- Exabeam, Inc.
- Verint Systems Inc.
- Forcepoint LLC
- Balbix Inc.
- Company Profiles
- Analyst Views
- Future Outlook of the Market

