Behavior Analytics Market by Solutions (User and Entity Behavior, A/B Testing, Heatmap, Feedback & Voice of Customer), Application (Customer Engagement, Brand Promotion, Workforce Optimization, Threat Detection & Prevention) - Global Forecast to 2029
The behavior analytics market is estimated at USD 5.5 billion in 2024 to USD 13.4 billion by 2029, at a Compound Annual Growth Rate (CAGR) of 19.5%. Behavior analytics enhances access to actionable insights by processing in a timely manner user and entity behaviors to help organizations understand and get a lead time to forestall potential issues. They help organizations detect security threats earlier by detecting unusual patterns and spotting potential risks before they cause any harm. Secondly, behavior analytics helps businesses personalize customer experiences by knowledge of individual preferences and behaviors, optimizing operations through process streamlining in the light of behavior-based data, and having informed decisions backed by data to drive better business performance and customer satisfaction.
“By offering, solutions are expected to have the largest market size during the forecast period. “
The solutions segment will dominate the market in terms of size during the forecast period since it provides organizations with core functionality to analyze and act upon behavior data. These solutions offer comprehensive tools for collecting, processing, and analyzing huge amounts of data from multiple sources, enabling businesses to detect patterns and anomalies and make informed decisions.
With increasing sophisticated cyber threats and ever-growing demand for a bespoke experience for customers, the deployment of advanced behavior analytics solutions has become of greater priority to organizations aiming at improving their stance against such challenges. At the heart of security enhancement, improvement in customer engagement, and business process optimization are these very solutions. Also, these solutions are quite flexible—thus, with the possibility to adjust and scale, they turn into highly critical investments for any business looking to remain competitive in this very data-driven world.
“By application, threat detection and prevention is expected to hold a higher growth rate during the forecast period.” The rise in the demand for threat detection and prevention is due to the fact that cyber threats are becoming more complicated and common, negatively affecting almost every industry. Traditional security measures are no match for the sophisticated techniques used by cybercriminals. Therefore, a greater reliance is placed on behavior analytics in detecting and preventing threats, as it has more developed ways of noticing unusual patterns that can be a case of security breaches in real time.
Behavioral analytics allows organizations to monitor the behaviors of users and entities proactively. This will pick up on threats emerging from within your organization, including compromised accounts, even before they occur. These are machine learning and artificial intelligence solutions based on new data and, therefore, learn by themselves to improve the accuracy of detecting new and unknown threats. The enhanced need for the security of sensitive information through safeguarding, regulatory compliance, and protection of organizational assets increases demand in this crucial area for behavioral analytics in threat detection and prevention.
“North America is estimated to have the largest market share during the forecast period.”
North America is expected to be the largest market during the forecast period. A few factors have placed this region in the lead in the adoption of behavior analytics: a huge number of leading-edge technology companies, financial institutions, and an actually large number of enterprises placing emphasis on cybersecurity and data-driven management. These are exactly the kinds of entities that can quickly adopt bleeding-edge technologies like behavior analytics that will allow them to assure themselves better and, by the same token, enhance their overall operating performance.
Stiff data protection legislation and compliance requirements with the provisions, coupled with a robust regulatory framework in North America, drive demand for solutions to behavior analytics for compliance and the protection of sensitive information. This is further supported by an already existing mature IT infrastructure and a well-established digital ecosystem that will further drive the broad adoption of behavior analytics across various industries. Also, with cyber threats being on the rise in the region and with dependence on digital platforms, the importance of behavior analytics as an effectual tool in threat detection and prevention has increased. All these factors combine to make North America the largest market for behavior analytics.
In-depth interviews have been conducted with chief executive officers (CEOs), Directors, and other executives from various key organizations operating in the behavior analytics market.
Research Coverage
The market study covers behavior analytics market size across different segments. It aims to estimate the market size and the growth potential across various segments, including Offering (Solutions and Services), Type (Customer Centric, Employee Centric), Application (Customer Engagement, Brand Promotion, Workforce Optimization, Threat Detection & Prevention, and Other Applications), Vertical (BFSI, Retail & Ecommerce, Telecom, IT & ITES, Media & Entertainment, Healthcare, Government & Defense, Travel & Hospitality, and Other Verticals), and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help the market leaders/new entrants with information on the closest approximations of the global behavior analytics market’s revenue numbers and subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market’s pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
1. Analysis of key drivers (optimizing marketing strategies, enhancing product development, predicting future trends), restraints (data privacy concerns, technical expertise, data quality and accuracy), opportunities (enhancing customer retention, fraud detection, and prevention, targeted content delivery), and challenges (contextual understanding, behavior noise, scalability issues) influencing the growth of the behavior analytics market.
2. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the behavior analytics market.
3. Market Development: Comprehensive information about lucrative markets – the report analyses the behavior analytics market across various regions.
4. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the behavior analytics market.
5. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading companies including Qualtrics (US), OpenText (Canada), Microsoft (US), Cisco Systems, Inc. (US), IBM (US), Zoho Corporation (India), Oracle (US), Varonis Systems, Inc. (US), Fortinet, Inc. (US), Securonix (US), Teradata (US), Google (US), Adobe (US), SAS Institute (US), Qlik (US), 84.51? (US), Contentsquare (France), Exabeam (US), Clevertap (US), Dtex Systems (US), Mouseflow (US), Gurucul (US), Netspring (US), Visier, Inc. (Canada), Teramind (US), SplashBI (US), Amplitude (US), Prohance (India).
“By offering, solutions are expected to have the largest market size during the forecast period. “
The solutions segment will dominate the market in terms of size during the forecast period since it provides organizations with core functionality to analyze and act upon behavior data. These solutions offer comprehensive tools for collecting, processing, and analyzing huge amounts of data from multiple sources, enabling businesses to detect patterns and anomalies and make informed decisions.
With increasing sophisticated cyber threats and ever-growing demand for a bespoke experience for customers, the deployment of advanced behavior analytics solutions has become of greater priority to organizations aiming at improving their stance against such challenges. At the heart of security enhancement, improvement in customer engagement, and business process optimization are these very solutions. Also, these solutions are quite flexible—thus, with the possibility to adjust and scale, they turn into highly critical investments for any business looking to remain competitive in this very data-driven world.
“By application, threat detection and prevention is expected to hold a higher growth rate during the forecast period.” The rise in the demand for threat detection and prevention is due to the fact that cyber threats are becoming more complicated and common, negatively affecting almost every industry. Traditional security measures are no match for the sophisticated techniques used by cybercriminals. Therefore, a greater reliance is placed on behavior analytics in detecting and preventing threats, as it has more developed ways of noticing unusual patterns that can be a case of security breaches in real time.
Behavioral analytics allows organizations to monitor the behaviors of users and entities proactively. This will pick up on threats emerging from within your organization, including compromised accounts, even before they occur. These are machine learning and artificial intelligence solutions based on new data and, therefore, learn by themselves to improve the accuracy of detecting new and unknown threats. The enhanced need for the security of sensitive information through safeguarding, regulatory compliance, and protection of organizational assets increases demand in this crucial area for behavioral analytics in threat detection and prevention.
“North America is estimated to have the largest market share during the forecast period.”
North America is expected to be the largest market during the forecast period. A few factors have placed this region in the lead in the adoption of behavior analytics: a huge number of leading-edge technology companies, financial institutions, and an actually large number of enterprises placing emphasis on cybersecurity and data-driven management. These are exactly the kinds of entities that can quickly adopt bleeding-edge technologies like behavior analytics that will allow them to assure themselves better and, by the same token, enhance their overall operating performance.
Stiff data protection legislation and compliance requirements with the provisions, coupled with a robust regulatory framework in North America, drive demand for solutions to behavior analytics for compliance and the protection of sensitive information. This is further supported by an already existing mature IT infrastructure and a well-established digital ecosystem that will further drive the broad adoption of behavior analytics across various industries. Also, with cyber threats being on the rise in the region and with dependence on digital platforms, the importance of behavior analytics as an effectual tool in threat detection and prevention has increased. All these factors combine to make North America the largest market for behavior analytics.
In-depth interviews have been conducted with chief executive officers (CEOs), Directors, and other executives from various key organizations operating in the behavior analytics market.
- By Company Type: Tier 1 – 62%, Tier 2 – 23%, and Tier 3 – 15%
- By Designation: C-level –38%, D-level – 30%, and Others – 22%
- By Region: North America – 40%, Europe – 15%, Asia Pacific – 35%, and Rest of the World – 10%.
Research Coverage
The market study covers behavior analytics market size across different segments. It aims to estimate the market size and the growth potential across various segments, including Offering (Solutions and Services), Type (Customer Centric, Employee Centric), Application (Customer Engagement, Brand Promotion, Workforce Optimization, Threat Detection & Prevention, and Other Applications), Vertical (BFSI, Retail & Ecommerce, Telecom, IT & ITES, Media & Entertainment, Healthcare, Government & Defense, Travel & Hospitality, and Other Verticals), and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.
Key Benefits of Buying the Report
The report will help the market leaders/new entrants with information on the closest approximations of the global behavior analytics market’s revenue numbers and subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market’s pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
1. Analysis of key drivers (optimizing marketing strategies, enhancing product development, predicting future trends), restraints (data privacy concerns, technical expertise, data quality and accuracy), opportunities (enhancing customer retention, fraud detection, and prevention, targeted content delivery), and challenges (contextual understanding, behavior noise, scalability issues) influencing the growth of the behavior analytics market.
2. Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the behavior analytics market.
3. Market Development: Comprehensive information about lucrative markets – the report analyses the behavior analytics market across various regions.
4. Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the behavior analytics market.
5. Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading companies including Qualtrics (US), OpenText (Canada), Microsoft (US), Cisco Systems, Inc. (US), IBM (US), Zoho Corporation (India), Oracle (US), Varonis Systems, Inc. (US), Fortinet, Inc. (US), Securonix (US), Teradata (US), Google (US), Adobe (US), SAS Institute (US), Qlik (US), 84.51? (US), Contentsquare (France), Exabeam (US), Clevertap (US), Dtex Systems (US), Mouseflow (US), Gurucul (US), Netspring (US), Visier, Inc. (Canada), Teramind (US), SplashBI (US), Amplitude (US), Prohance (India).
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary interviews
2.1.2.2 Primary interviews with experts
2.1.2.3 Expert insights
2.2 MARKET SIZE ESTIMATION METHODOLOGY
2.2.1 TOP-DOWN APPROACH
2.2.1.1 Supply-side analysis
2.2.2 BOTTOM-UP APPROACH
2.2.2.1 Demand-side analysis
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN BEHAVIOR ANALYTICS MARKET
4.2 BEHAVIOR ANALYTICS MARKET: TOP GROWING SEGMENTS
4.3 BEHAVIOR ANALYTICS MARKET, BY APPLICATION
4.4 BEHAVIOR ANALYTICS MARKET, BY OFFERING
4.5 BEHAVIOR ANALYTICS MARKET, BY VERTICAL
4.6 BEHAVIOR ANALYTICS MARKET, BY TYPE
4.7 NORTH AMERICA: BEHAVIOR ANALYTICS MARKET, BY APPLICATION AND OFFERING
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Optimizing marketing strategies
5.2.1.2 Enhancing product development
5.2.1.3 Predicting future trends
5.2.2 RESTRAINTS
5.2.2.1 Data privacy concerns
5.2.2.2 Technical expertise
5.2.2.3 Data quality and accuracy
5.2.3 OPPORTUNITIES
5.2.3.1 Enhancing customer retention
5.2.3.2 Fraud detection and prevention
5.2.3.3 Targeted content delivery
5.2.4 CHALLENGES
5.2.4.1 Contextual understanding
5.2.4.2 Behavioral noise
5.2.4.3 Scalability issues
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.4 CURRENT AND EMERGING BUSINESS MODELS
5.4.1 FREEMIUM MODEL
5.4.2 PAY-AS-YOU-GO MODEL
5.4.3 ANNUAL SUBSCRIPTION MODEL
5.4.4 ENTERPRISE LICENSING MODEL
5.5 PRICING ANALYSIS
5.5.1 AVERAGE PRICING ANALYSIS, BY SOLUTION
5.5.2 INDICATIVE PRICING ANALYSIS, BY SUBSCRIPTION
5.6 VALUE CHAIN ANALYSIS
5.7 ECOSYSTEM ANALYSIS
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Machine learning (ML)
5.8.1.2 Artificial intelligence (AI)
5.8.1.3 Big data analytics
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 Internet of things (IoT)
5.8.2.2 Cloud computing
5.8.2.3 Data integration tools
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 Customer relationship management (CRM)
5.8.3.2 User experience (UX) design
5.8.3.3 Cybersecurity
5.9 PATENT ANALYSIS
5.10 KEY CONFERENCES AND EVENTS
5.11 REGULATORY LANDSCAPE
5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.11.1.1 General Data Protection Regulation (GDPR) - European Union
5.11.1.2 Federal Trade Commission (FTC) - US
5.11.1.3 International Association Of Privacy Professionals (IAPP)
5.11.1.4 North America
5.11.1.4.1 US
5.11.1.4.2 Canada
5.11.1.5 Europe
5.11.1.5.1 Germany
5.11.1.5.2 UK
5.11.1.5.3 Europe-wide
5.11.1.6 Asia Pacific
5.11.1.6.1 Japan
5.11.1.6.2 India
5.11.1.6.3 Australia
5.11.1.7 Middle East & Africa
5.11.1.7.1 South Africa
5.11.1.7.2 UAE
5.11.1.8 Latin America
5.11.1.8.1 Brazil
5.12 TECHNOLOGY ROADMAP FOR BEHAVIOR ANALYTICS MARKET
5.12.1 SHORT-TERM ROADMAP (2023–2025)
5.12.2 MID-TERM ROADMAP (2026–2028)
5.12.3 LONG-TERM ROADMAP (2029–2030)
5.13 PORTER’S FIVE FORCES ANALYSIS
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS
5.13.5 INTENSITY OF COMPETITIVE RIVALRY
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.14.2 BUYING CRITERIA
5.15 BRIEF HISTORY OF REVOLUTION OF BEHAVIOR ANALYTICS SOLUTIONS
5.16 BEST PRACTICES IN BEHAVIOR ANALYTICS MARKET
5.16.1 DEFINE CLEAR OBJECTIVES
5.16.2 ENSURE DATA QUALITY
5.16.3 IMPLEMENT PRIVACY AND COMPLIANCE MEASURES
5.16.4 LEVERAGE ADVANCED ANALYTICS TOOLS
5.16.5 FOCUS ON ACTIONABLE INSIGHTS
5.17 BEHAVIOR ANALYTICS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
5.18 IMPACT OF GENERATIVE AI ON BEHAVIOR ANALYTICS
5.18.1 TOP USE CASES AND MARKET POTENTIAL
5.18.1.1 Key use cases
5.18.2 BEST PRACTICES
5.18.2.1 Healthcare
5.18.2.2 Manufacturing
5.18.2.3 Energy
5.18.3 CASE STUDIES OF GENERATIVE AI IMPLEMENTATION
5.18.3.1 Global retail giant enhances customer experience
5.18.3.2 Major healthcare provider transforms patient care
5.18.4 CLIENT READINESS AND IMPACT ASSESSMENT
5.18.4.1 Client A: Prominent retailer
5.18.4.2 Client B: Leading healthcare organization
5.18.4.3 Client C: Major manufacturing enterprise
5.18.4.4 Client D: Prominent energy provider
5.19 INVESTMENT AND FUNDING SCENARIO
5.20 CASE STUDY ANALYSIS
5.20.1 LARGE GOVERNMENT AGENCY ENHANCED THREAT RESPONSE WITH ARCSIGHT SUITE
5.20.2 SUPER.COM IMPROVED CUSTOMER RETENTION BY 90% USING AMPLITUDE EXPERIMENT
5.20.3 CREDO USED HOTJAR HEATMAPS AND RECORDINGS TO INCREASE REVENUE BY 220%
5.20.4 METROHEALTH ENHANCED EMPLOYEE ENGAGEMENT AND ALIGNMENT USING PERCEPTYX PEOPLE INSIGHTS SOLUTION
5.20.5 SERVICENOW ENHANCED CUSTOMER EXPERIENCE USING QUALTRICS
XM SOLUTION
6 BEHAVIOR ANALYTICS MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: BEHAVIOR ANALYTICS MARKET DRIVERS
6.2 SOLUTIONS
6.2.1 USER & ENTITY BEHAVIOR
6.2.1.1 Proactive approach to uncover threats that conventional defenses might miss
6.2.2 A/B TESTING
6.2.2.1 Vital for continuously optimizing digital experiences, emphasizing data-driven decision-making
6.2.3 FEEDBACK & VOICE OF CUSTOMER (VOC)
6.2.3.1 Systematic collection and analysis of feedback from wide range of sources to identify trends and issues proactively
6.2.4 HEATMAP
6.2.4.1 Instrumental in pinpointing UX issues and strategically placing content to enhance conversion rates and website performance
6.2.5 OTHER SOLUTIONS
6.3 SERVICES
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 Effective interpretation of behavior data and applying insights to enhance performance and strategic planning
6.3.2 MANAGED SERVICES
6.3.2.1 Leveraging behavior analytics effectively without burden of
managing complex systems internally
7 BEHAVIOR ANALYTICS MARKET, BY TYPE
7.1 INTRODUCTION
7.1.1 TYPE: BEHAVIOR ANALYTICS MARKET DRIVERS
7.2 CUSTOMER-CENTRIC
7.2.1 ENABLING INTEGRATION OF CUSTOMER-CENTRIC INSIGHTS INTO BUSINESS STRATEGIES FOR ENHANCED ENGAGEMENT AND SATISFACTION
7.3 EMPLOYEE-CENTRIC
7.3.1 ADAPTING TO STRATEGIES TO HELP MEET EVOLVING NEEDS AND ENHANCE OVERALL TEAM PERFORMANCE
8 BEHAVIOR ANALYTICS MARKET, BY APPLICATION
8.1 INTRODUCTION
8.1.1 APPLICATION: BEHAVIOR ANALYTICS MARKET DRIVERS
8.2 CUSTOMER ENGAGEMENT
8.2.1 DATA-DRIVEN APPROACH FOR BUSINESSES TO REFINE MARKETING STRATEGIES AND PRODUCT DEVELOPMENT FOR BETTER CUSTOMER UX
8.3 BRAND PROMOTION
8.3.1 OPTIMIZING CUSTOMER TARGETING TO DELIVER RIGHT PRODUCTS AND SERVICES AT RIGHT TIME
8.4 WORKFORCE OPTIMIZATION
8.4.1 TAPPING INTO REAL-TIME DECISION-MAKING AND PROCESS AUTOMATION FOR BETTER OPERATIONAL EFFICIENCY
8.5 THREAT DETECTION & PREVENTION
8.5.1 MONITORING USER AND ENTITY ACTIVITIES TO IDENTIFY ANOMALIES THAT COULD INDICATE POTENTIAL THREATS
8.6 OTHER APPLICATIONS
9 BEHAVIOR ANALYTICS MARKET, BY VERTICAL
9.1 INTRODUCTION
9.1.1 VERTICAL: BEHAVIOR ANALYTICS MARKET DRIVERS
9.2 BFSI
9.2.1 NEED TO PREDICT CUSTOMER NEEDS AND TAILOR INSURANCE PRODUCTS TO BETTER MEET INDIVIDUAL PREFERENCES
9.2.2 CASE STUDIES
9.2.2.1 Banking corporation leveraged AI-powered behavior analytics to combat fraud and enhance customer trust
9.2.2.2 Indian NBFC enhanced customer experience and proactive credit management through behavior analytics
9.3 RETAIL & ECOMMERCE
9.3.1 ALLOWS HIGHLY PERSONALIZED EXPERIENCES, TAILORING PRODUCT RECOMMENDATIONS AND PROMOTIONAL OFFERS TO PREFERENCES
9.3.2 CASE STUDIES
9.3.2.1 Beauty retailer enhanced customer experience incorporating predictive analytics in its mobile app
9.3.2.2 E-commerce giant improved customer experience and sales through behavior analytics and personalized recommendations
9.4 TELECOM
9.4.1 CUSTOMIZED PLANS TO HELP TELECOM SERVICES INTERACT WITH AND RETAIN CUSTOMERS, MAINTAINING COMPETITIVE ADVANTAGE
9.4.2 CASE STUDIES
9.4.2.1 England-based telecom giant utilized behavior analytics to improve customer retention and personalize services
9.4.2.2 American telecom company strengthened customer retention through behavior analytics and personalized offers
9.5 IT & ITES
9.5.1 BEHAVIOR ANALYTICS SUPPORTED DEI INITIATIVES BY ADDRESSING PAYROLL DISPARITIES AND PROMOTING FAIR COMPENSATION
9.5.2 CASE STUDIES
9.5.2.1 American IT company leveraged behavior analytics to optimize software development processes
9.5.2.2 Leading technology company reinforced cybersecurity through user behavior analytics to prevent data breaches
9.6 MEDIA & ENTERTAINMENT
9.6.1 INTEGRATION OF BEHAVIOR ANALYTICS CRUCIAL FOR CONTENT CREATION, USER ENGAGEMENT, AND STRATEGIC REVENUE GROWTH
9.6.2 CASE STUDIES
9.6.2.1 Streaming platform enhanced user engagement and retention through advanced behavior analytics
9.6.2.2 Music streaming platform boosted user engagement and retention through personalized recommendations powered by behavior analytics
9.7 HEALTHCARE
9.7.1 TARGETED MARKETING AND PATIENT OUTREACH TO HELP HEALTHCARE ORGANIZATIONS TAILOR COMMUNICATIONS AND SERVICES TO SPECIFIC PATIENT SEGMENTS
9.7.2 CASE STUDIES
9.7.2.1 Healthcare provider utilized behavior analytics to optimize patient care and engagement
9.7.2.2 UK public healthcare system increased patient engagement and care delivery through data analytics
9.8 GOVERNMENT & DEFENSE
9.8.1 BEHAVIOR ANALYTICS KEY IN BOOSTING PUBLIC SAFETY BY MONITORING BEHAVIOR PATTERNS TO PREVENT UNLAWFUL ACTIVITIES
9.8.2 CASE STUDIES
9.8.2.1 UK ministry of defence utilized behavior analytics for enhanced national security insights
9.8.2.2 Department of Defense heightened cybersecurity by tracking user behavior to prevent threats
9.9 TRAVEL & HOSPITALITY
9.9.1 DEMAND TO ENHANCE REVENUE MANAGEMENT AND OPERATIONAL EFFECTIVENESS BY FORECASTING DEMAND AND OPTIMIZING PRICING
9.9.2 CASE STUDIES
9.9.2.1 Hotel chain enhanced loyalty program through behavior analytics and personalized guest experiences
9.9.2.2 Finnish carrier boosted customer experience through predictive behavior analytics
9.10 OTHER VERTICALS
10 BEHAVIOR ANALYTICS MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
10.2.2 US
10.2.2.1 Biden administration's executive order aimed at enhancing cybersecurity, highlighting criticality of advanced threat detection tools
10.2.3 CANADA
10.2.3.1 Governmental focus on cybersecurity resulted in increased investments in behavior analytics across both public and private sectors
10.3 EUROPE
10.3.1 EUROPE: MACROECONOMIC OUTLOOK
10.3.2 UK
10.3.2.1 Strong focus on digital innovation led to growing adoption of behavior analytics tools by large companies
10.3.3 GERMANY
10.3.3.1 Integration of analytics tools with ERP systems: Growing trend helping businesses optimize operations and enhance customer interactions
10.3.4 FRANCE
10.3.4.1 Rise of digital transformation initiatives in supporting omnichannel strategies and improving customer engagement
10.3.5 ITALY
10.3.5.1 Growth of online retail and increase in importance of data-driven decision-making in Italy
10.3.6 SPAIN
10.3.6.1 Government initiatives to support digital innovation and improve competitiveness of local businesses
10.3.7 NORDICS
10.3.7.1 Significant surge in adoption, underscoring broader trend toward integrating financial services into non-financial digital platforms
10.3.8 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
10.4.2 CHINA
10.4.2.1 Widespread integration of AI and ML into analytic platforms to process immense data volumes for real-time actionable business insights
10.4.3 JAPAN
10.4.3.1 Advanced technology ecosystem to facilitate integration of behavior analytics with other advanced technologies, such as IoT and robotics
10.4.4 INDIA
10.4.4.1 Government’s push toward digitalization with initiatives such as digital india and smart cities to provide additional impetus for adoption of behavior analytics across sectors
10.4.5 AUSTRALIA & NEW ZEALAND
10.4.5.1 Growing ecosystem of analytics providers, consulting firms, and academic institutions to contribute to development and implementation of advanced solutions
10.4.6 SOUTH KOREA
10.4.6.1 High digital engagement with consumers frequently interacting with online platforms and mobile apps to provide rich data source for behavior analytics
10.4.7 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
10.5.2 MIDDLE EAST
10.5.2.1 Strategic geographic location and its role as global business hub amplify potential of behavior analytics
10.5.2.2 UAE
10.5.2.2.1 Partnerships between ecommerce platforms and financial institutions enabled seamless payment experiences, driving transaction volumes
10.5.2.3 KSA
10.5.2.3.1 Surge in partnerships between fintech and traditional businesses aimed at embedding financial services into everyday transactions
10.5.2.4 Kuwait
10.5.2.4.1 Implementation of AI-driven solutions to assess customer behavior
10.5.2.5 Bahrain
10.5.2.5.1 Increase in prevalence of eCommerce, along with expansion of online banking and telecommunications
10.5.2.6 Rest of the Middle East
10.5.3 AFRICA
10.5.3.1 Mobile-centric economy where significant population accesses financial services through smartphones
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
10.6.2 BRAZIL
10.6.2.1 Expansion driven by robust digital infrastructure, including high smartphone penetration and increasing internet connectivity
10.6.3 MEXICO
10.6.3.1 Supportive regulatory environment and growing fintech ecosystem to facilitate collaborations to drive innovation
10.6.4 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 INTRODUCTION
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY BEHAVIOR ANALYTICS MARKET VENDORS
11.3 REVENUE ANALYSIS, 2019–2023
11.4 MARKET SHARE ANALYSIS, 2023
11.4.1 MARKET RANKING ANALYSIS
11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
11.5.5.1 Company footprint
11.5.5.2 Offering footprint
11.5.5.3 Type footprint
11.5.5.4 Application footprint
11.5.5.5 Vertical footprint
11.5.5.6 Regional footprint
11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
11.6.1 PROGRESSIVE COMPANIES
11.6.2 RESPONSIVE COMPANIES
11.6.3 DYNAMIC COMPANIES
11.6.4 STARTING BLOCKS
11.6.5 COMPETITIVE BENCHMARKING
11.6.5.1 Detailed list of key startups/SMEs
11.6.5.2 Competitive benchmarking of key startups/SMEs
11.7 BRAND/PRODUCT COMPARISON ANALYSIS
11.8 COMPANY VALUATION AND FINANCIAL METRICS
11.8.1 COMPANY VALUATION
11.8.2 FINANCIAL METRICS
11.9 COMPETITIVE SCENARIO AND TRENDS
11.9.1 DEALS
12 COMPANY PROFILES
12.1 KEY PLAYERS
12.1.1 QUALTRICS
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Deals
12.1.1.4 Mnm view
12.1.1.4.1 Key strengths
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses and competitive threats
12.1.2 OPENTEXT
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 Recent developments
12.1.2.3.1 Deals
12.1.2.4 Mnm view
12.1.2.4.1 Key strengths
12.1.2.4.2 Strategic choices
12.1.2.4.3 Weaknesses and competitive threats
12.1.3 MICROSOFT
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Deals
12.1.3.4 MnM view
12.1.3.4.1 Key strengths
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses and competitive threats
12.1.4 CISCO SYSTEMS, INC.
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Deals
12.1.4.4 MnM view
12.1.4.4.1 Key strengths
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses and competitive threats
12.1.5 IBM
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Deals
12.1.5.4 Mnm view
12.1.5.4.1 Key strengths
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses and competitive threats
12.1.6 ZOHO CORPORATION
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.7 ORACLE
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.7.3 Recent developments
12.1.7.3.1 Deals
12.1.8 VARONIS SYSTEMS, INC.
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Deals
12.1.9 FORTINET, INC.
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Deals
12.1.10 SECURONIX
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Deals
12.1.11 TERADATA
12.1.11.1 Business overview
12.1.11.2 Products/Solutions/Services offered
12.1.11.3 Recent developments
12.1.11.3.1 Deals
12.1.12 GOOGLE
12.1.12.1 Business overview
12.1.12.2 Products/Solutions/Services offered
12.1.12.3 Recent developments
12.1.12.3.1 Deals
12.1.13 ADOBE
12.1.13.1 Business overview
12.1.13.2 Products/Solutions/Services offered
12.1.13.3 Recent developments
12.1.13.3.1 Deals
12.1.14 SAS INSTITUTE
12.1.14.1 Business overview
12.1.14.2 Products/Solutions/Services offered
12.1.14.3 Recent developments
12.1.14.3.1 Deals
12.1.15 QLIK
12.1.16 84.51°
12.1.17 CONTENTSQUARE
12.2 STARTUPS/SMES
12.2.1 EXABEAM
12.2.2 CLEVERTAP
12.2.3 DTEX SYSTEMS
12.2.4 MOUSEFLOW
12.2.5 GURUCUL
12.2.6 NETSPRING
12.2.7 VISIER, INC.
12.2.8 TERAMIND
12.2.9 SPLASHBI
12.2.10 AMPLITUDE
12.2.11 PROHANCE
13 ADJACENT/RELATED MARKETS
13.1 INTRODUCTION
13.1.1 LIMITATIONS
13.2 CUSTOMER EXPERIENCE MANAGEMENT MARKET
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Customer experience management market, by offering
13.2.2.2 Customer experience management market, by deployment type
13.2.2.3 Customer experience management market, by organization size
13.2.2.4 Customer experience management market, by vertical
13.2.2.5 Customer experience management market, by region
13.3 CUSTOMER ANALYTICS MARKET
13.3.1 MARKET DEFINITION
13.3.2 MARKET OVERVIEW
13.3.2.1 Customer analytics market, by component
13.3.2.2 Customer analytics market, by solution
13.3.2.3 Customer analytics market, by service
13.3.2.4 Customer analytics market, by deployment type
13.3.2.5 Customer analytics market, by organization size
13.3.2.6 Customer analytics market, by application
13.3.2.7 Customer analytics market, by data source
13.3.2.8 Customer analytics market, by industry vertical
13.3.2.9 Customer analytics market, by region
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary interviews
2.1.2.2 Primary interviews with experts
2.1.2.3 Expert insights
2.2 MARKET SIZE ESTIMATION METHODOLOGY
2.2.1 TOP-DOWN APPROACH
2.2.1.1 Supply-side analysis
2.2.2 BOTTOM-UP APPROACH
2.2.2.1 Demand-side analysis
2.3 DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ASSESSMENT
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN BEHAVIOR ANALYTICS MARKET
4.2 BEHAVIOR ANALYTICS MARKET: TOP GROWING SEGMENTS
4.3 BEHAVIOR ANALYTICS MARKET, BY APPLICATION
4.4 BEHAVIOR ANALYTICS MARKET, BY OFFERING
4.5 BEHAVIOR ANALYTICS MARKET, BY VERTICAL
4.6 BEHAVIOR ANALYTICS MARKET, BY TYPE
4.7 NORTH AMERICA: BEHAVIOR ANALYTICS MARKET, BY APPLICATION AND OFFERING
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Optimizing marketing strategies
5.2.1.2 Enhancing product development
5.2.1.3 Predicting future trends
5.2.2 RESTRAINTS
5.2.2.1 Data privacy concerns
5.2.2.2 Technical expertise
5.2.2.3 Data quality and accuracy
5.2.3 OPPORTUNITIES
5.2.3.1 Enhancing customer retention
5.2.3.2 Fraud detection and prevention
5.2.3.3 Targeted content delivery
5.2.4 CHALLENGES
5.2.4.1 Contextual understanding
5.2.4.2 Behavioral noise
5.2.4.3 Scalability issues
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES
5.4 CURRENT AND EMERGING BUSINESS MODELS
5.4.1 FREEMIUM MODEL
5.4.2 PAY-AS-YOU-GO MODEL
5.4.3 ANNUAL SUBSCRIPTION MODEL
5.4.4 ENTERPRISE LICENSING MODEL
5.5 PRICING ANALYSIS
5.5.1 AVERAGE PRICING ANALYSIS, BY SOLUTION
5.5.2 INDICATIVE PRICING ANALYSIS, BY SUBSCRIPTION
5.6 VALUE CHAIN ANALYSIS
5.7 ECOSYSTEM ANALYSIS
5.8 TECHNOLOGY ANALYSIS
5.8.1 KEY TECHNOLOGIES
5.8.1.1 Machine learning (ML)
5.8.1.2 Artificial intelligence (AI)
5.8.1.3 Big data analytics
5.8.2 COMPLEMENTARY TECHNOLOGIES
5.8.2.1 Internet of things (IoT)
5.8.2.2 Cloud computing
5.8.2.3 Data integration tools
5.8.3 ADJACENT TECHNOLOGIES
5.8.3.1 Customer relationship management (CRM)
5.8.3.2 User experience (UX) design
5.8.3.3 Cybersecurity
5.9 PATENT ANALYSIS
5.10 KEY CONFERENCES AND EVENTS
5.11 REGULATORY LANDSCAPE
5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.11.1.1 General Data Protection Regulation (GDPR) - European Union
5.11.1.2 Federal Trade Commission (FTC) - US
5.11.1.3 International Association Of Privacy Professionals (IAPP)
5.11.1.4 North America
5.11.1.4.1 US
5.11.1.4.2 Canada
5.11.1.5 Europe
5.11.1.5.1 Germany
5.11.1.5.2 UK
5.11.1.5.3 Europe-wide
5.11.1.6 Asia Pacific
5.11.1.6.1 Japan
5.11.1.6.2 India
5.11.1.6.3 Australia
5.11.1.7 Middle East & Africa
5.11.1.7.1 South Africa
5.11.1.7.2 UAE
5.11.1.8 Latin America
5.11.1.8.1 Brazil
5.12 TECHNOLOGY ROADMAP FOR BEHAVIOR ANALYTICS MARKET
5.12.1 SHORT-TERM ROADMAP (2023–2025)
5.12.2 MID-TERM ROADMAP (2026–2028)
5.12.3 LONG-TERM ROADMAP (2029–2030)
5.13 PORTER’S FIVE FORCES ANALYSIS
5.13.1 THREAT OF NEW ENTRANTS
5.13.2 THREAT OF SUBSTITUTES
5.13.3 BARGAINING POWER OF SUPPLIERS
5.13.4 BARGAINING POWER OF BUYERS
5.13.5 INTENSITY OF COMPETITIVE RIVALRY
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.14.2 BUYING CRITERIA
5.15 BRIEF HISTORY OF REVOLUTION OF BEHAVIOR ANALYTICS SOLUTIONS
5.16 BEST PRACTICES IN BEHAVIOR ANALYTICS MARKET
5.16.1 DEFINE CLEAR OBJECTIVES
5.16.2 ENSURE DATA QUALITY
5.16.3 IMPLEMENT PRIVACY AND COMPLIANCE MEASURES
5.16.4 LEVERAGE ADVANCED ANALYTICS TOOLS
5.16.5 FOCUS ON ACTIONABLE INSIGHTS
5.17 BEHAVIOR ANALYTICS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
5.18 IMPACT OF GENERATIVE AI ON BEHAVIOR ANALYTICS
5.18.1 TOP USE CASES AND MARKET POTENTIAL
5.18.1.1 Key use cases
5.18.2 BEST PRACTICES
5.18.2.1 Healthcare
5.18.2.2 Manufacturing
5.18.2.3 Energy
5.18.3 CASE STUDIES OF GENERATIVE AI IMPLEMENTATION
5.18.3.1 Global retail giant enhances customer experience
5.18.3.2 Major healthcare provider transforms patient care
5.18.4 CLIENT READINESS AND IMPACT ASSESSMENT
5.18.4.1 Client A: Prominent retailer
5.18.4.2 Client B: Leading healthcare organization
5.18.4.3 Client C: Major manufacturing enterprise
5.18.4.4 Client D: Prominent energy provider
5.19 INVESTMENT AND FUNDING SCENARIO
5.20 CASE STUDY ANALYSIS
5.20.1 LARGE GOVERNMENT AGENCY ENHANCED THREAT RESPONSE WITH ARCSIGHT SUITE
5.20.2 SUPER.COM IMPROVED CUSTOMER RETENTION BY 90% USING AMPLITUDE EXPERIMENT
5.20.3 CREDO USED HOTJAR HEATMAPS AND RECORDINGS TO INCREASE REVENUE BY 220%
5.20.4 METROHEALTH ENHANCED EMPLOYEE ENGAGEMENT AND ALIGNMENT USING PERCEPTYX PEOPLE INSIGHTS SOLUTION
5.20.5 SERVICENOW ENHANCED CUSTOMER EXPERIENCE USING QUALTRICS
XM SOLUTION
6 BEHAVIOR ANALYTICS MARKET, BY OFFERING
6.1 INTRODUCTION
6.1.1 OFFERING: BEHAVIOR ANALYTICS MARKET DRIVERS
6.2 SOLUTIONS
6.2.1 USER & ENTITY BEHAVIOR
6.2.1.1 Proactive approach to uncover threats that conventional defenses might miss
6.2.2 A/B TESTING
6.2.2.1 Vital for continuously optimizing digital experiences, emphasizing data-driven decision-making
6.2.3 FEEDBACK & VOICE OF CUSTOMER (VOC)
6.2.3.1 Systematic collection and analysis of feedback from wide range of sources to identify trends and issues proactively
6.2.4 HEATMAP
6.2.4.1 Instrumental in pinpointing UX issues and strategically placing content to enhance conversion rates and website performance
6.2.5 OTHER SOLUTIONS
6.3 SERVICES
6.3.1 PROFESSIONAL SERVICES
6.3.1.1 Effective interpretation of behavior data and applying insights to enhance performance and strategic planning
6.3.2 MANAGED SERVICES
6.3.2.1 Leveraging behavior analytics effectively without burden of
managing complex systems internally
7 BEHAVIOR ANALYTICS MARKET, BY TYPE
7.1 INTRODUCTION
7.1.1 TYPE: BEHAVIOR ANALYTICS MARKET DRIVERS
7.2 CUSTOMER-CENTRIC
7.2.1 ENABLING INTEGRATION OF CUSTOMER-CENTRIC INSIGHTS INTO BUSINESS STRATEGIES FOR ENHANCED ENGAGEMENT AND SATISFACTION
7.3 EMPLOYEE-CENTRIC
7.3.1 ADAPTING TO STRATEGIES TO HELP MEET EVOLVING NEEDS AND ENHANCE OVERALL TEAM PERFORMANCE
8 BEHAVIOR ANALYTICS MARKET, BY APPLICATION
8.1 INTRODUCTION
8.1.1 APPLICATION: BEHAVIOR ANALYTICS MARKET DRIVERS
8.2 CUSTOMER ENGAGEMENT
8.2.1 DATA-DRIVEN APPROACH FOR BUSINESSES TO REFINE MARKETING STRATEGIES AND PRODUCT DEVELOPMENT FOR BETTER CUSTOMER UX
8.3 BRAND PROMOTION
8.3.1 OPTIMIZING CUSTOMER TARGETING TO DELIVER RIGHT PRODUCTS AND SERVICES AT RIGHT TIME
8.4 WORKFORCE OPTIMIZATION
8.4.1 TAPPING INTO REAL-TIME DECISION-MAKING AND PROCESS AUTOMATION FOR BETTER OPERATIONAL EFFICIENCY
8.5 THREAT DETECTION & PREVENTION
8.5.1 MONITORING USER AND ENTITY ACTIVITIES TO IDENTIFY ANOMALIES THAT COULD INDICATE POTENTIAL THREATS
8.6 OTHER APPLICATIONS
9 BEHAVIOR ANALYTICS MARKET, BY VERTICAL
9.1 INTRODUCTION
9.1.1 VERTICAL: BEHAVIOR ANALYTICS MARKET DRIVERS
9.2 BFSI
9.2.1 NEED TO PREDICT CUSTOMER NEEDS AND TAILOR INSURANCE PRODUCTS TO BETTER MEET INDIVIDUAL PREFERENCES
9.2.2 CASE STUDIES
9.2.2.1 Banking corporation leveraged AI-powered behavior analytics to combat fraud and enhance customer trust
9.2.2.2 Indian NBFC enhanced customer experience and proactive credit management through behavior analytics
9.3 RETAIL & ECOMMERCE
9.3.1 ALLOWS HIGHLY PERSONALIZED EXPERIENCES, TAILORING PRODUCT RECOMMENDATIONS AND PROMOTIONAL OFFERS TO PREFERENCES
9.3.2 CASE STUDIES
9.3.2.1 Beauty retailer enhanced customer experience incorporating predictive analytics in its mobile app
9.3.2.2 E-commerce giant improved customer experience and sales through behavior analytics and personalized recommendations
9.4 TELECOM
9.4.1 CUSTOMIZED PLANS TO HELP TELECOM SERVICES INTERACT WITH AND RETAIN CUSTOMERS, MAINTAINING COMPETITIVE ADVANTAGE
9.4.2 CASE STUDIES
9.4.2.1 England-based telecom giant utilized behavior analytics to improve customer retention and personalize services
9.4.2.2 American telecom company strengthened customer retention through behavior analytics and personalized offers
9.5 IT & ITES
9.5.1 BEHAVIOR ANALYTICS SUPPORTED DEI INITIATIVES BY ADDRESSING PAYROLL DISPARITIES AND PROMOTING FAIR COMPENSATION
9.5.2 CASE STUDIES
9.5.2.1 American IT company leveraged behavior analytics to optimize software development processes
9.5.2.2 Leading technology company reinforced cybersecurity through user behavior analytics to prevent data breaches
9.6 MEDIA & ENTERTAINMENT
9.6.1 INTEGRATION OF BEHAVIOR ANALYTICS CRUCIAL FOR CONTENT CREATION, USER ENGAGEMENT, AND STRATEGIC REVENUE GROWTH
9.6.2 CASE STUDIES
9.6.2.1 Streaming platform enhanced user engagement and retention through advanced behavior analytics
9.6.2.2 Music streaming platform boosted user engagement and retention through personalized recommendations powered by behavior analytics
9.7 HEALTHCARE
9.7.1 TARGETED MARKETING AND PATIENT OUTREACH TO HELP HEALTHCARE ORGANIZATIONS TAILOR COMMUNICATIONS AND SERVICES TO SPECIFIC PATIENT SEGMENTS
9.7.2 CASE STUDIES
9.7.2.1 Healthcare provider utilized behavior analytics to optimize patient care and engagement
9.7.2.2 UK public healthcare system increased patient engagement and care delivery through data analytics
9.8 GOVERNMENT & DEFENSE
9.8.1 BEHAVIOR ANALYTICS KEY IN BOOSTING PUBLIC SAFETY BY MONITORING BEHAVIOR PATTERNS TO PREVENT UNLAWFUL ACTIVITIES
9.8.2 CASE STUDIES
9.8.2.1 UK ministry of defence utilized behavior analytics for enhanced national security insights
9.8.2.2 Department of Defense heightened cybersecurity by tracking user behavior to prevent threats
9.9 TRAVEL & HOSPITALITY
9.9.1 DEMAND TO ENHANCE REVENUE MANAGEMENT AND OPERATIONAL EFFECTIVENESS BY FORECASTING DEMAND AND OPTIMIZING PRICING
9.9.2 CASE STUDIES
9.9.2.1 Hotel chain enhanced loyalty program through behavior analytics and personalized guest experiences
9.9.2.2 Finnish carrier boosted customer experience through predictive behavior analytics
9.10 OTHER VERTICALS
10 BEHAVIOR ANALYTICS MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
10.2.2 US
10.2.2.1 Biden administration's executive order aimed at enhancing cybersecurity, highlighting criticality of advanced threat detection tools
10.2.3 CANADA
10.2.3.1 Governmental focus on cybersecurity resulted in increased investments in behavior analytics across both public and private sectors
10.3 EUROPE
10.3.1 EUROPE: MACROECONOMIC OUTLOOK
10.3.2 UK
10.3.2.1 Strong focus on digital innovation led to growing adoption of behavior analytics tools by large companies
10.3.3 GERMANY
10.3.3.1 Integration of analytics tools with ERP systems: Growing trend helping businesses optimize operations and enhance customer interactions
10.3.4 FRANCE
10.3.4.1 Rise of digital transformation initiatives in supporting omnichannel strategies and improving customer engagement
10.3.5 ITALY
10.3.5.1 Growth of online retail and increase in importance of data-driven decision-making in Italy
10.3.6 SPAIN
10.3.6.1 Government initiatives to support digital innovation and improve competitiveness of local businesses
10.3.7 NORDICS
10.3.7.1 Significant surge in adoption, underscoring broader trend toward integrating financial services into non-financial digital platforms
10.3.8 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
10.4.2 CHINA
10.4.2.1 Widespread integration of AI and ML into analytic platforms to process immense data volumes for real-time actionable business insights
10.4.3 JAPAN
10.4.3.1 Advanced technology ecosystem to facilitate integration of behavior analytics with other advanced technologies, such as IoT and robotics
10.4.4 INDIA
10.4.4.1 Government’s push toward digitalization with initiatives such as digital india and smart cities to provide additional impetus for adoption of behavior analytics across sectors
10.4.5 AUSTRALIA & NEW ZEALAND
10.4.5.1 Growing ecosystem of analytics providers, consulting firms, and academic institutions to contribute to development and implementation of advanced solutions
10.4.6 SOUTH KOREA
10.4.6.1 High digital engagement with consumers frequently interacting with online platforms and mobile apps to provide rich data source for behavior analytics
10.4.7 REST OF ASIA PACIFIC
10.5 MIDDLE EAST & AFRICA
10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
10.5.2 MIDDLE EAST
10.5.2.1 Strategic geographic location and its role as global business hub amplify potential of behavior analytics
10.5.2.2 UAE
10.5.2.2.1 Partnerships between ecommerce platforms and financial institutions enabled seamless payment experiences, driving transaction volumes
10.5.2.3 KSA
10.5.2.3.1 Surge in partnerships between fintech and traditional businesses aimed at embedding financial services into everyday transactions
10.5.2.4 Kuwait
10.5.2.4.1 Implementation of AI-driven solutions to assess customer behavior
10.5.2.5 Bahrain
10.5.2.5.1 Increase in prevalence of eCommerce, along with expansion of online banking and telecommunications
10.5.2.6 Rest of the Middle East
10.5.3 AFRICA
10.5.3.1 Mobile-centric economy where significant population accesses financial services through smartphones
10.6 LATIN AMERICA
10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
10.6.2 BRAZIL
10.6.2.1 Expansion driven by robust digital infrastructure, including high smartphone penetration and increasing internet connectivity
10.6.3 MEXICO
10.6.3.1 Supportive regulatory environment and growing fintech ecosystem to facilitate collaborations to drive innovation
10.6.4 REST OF LATIN AMERICA
11 COMPETITIVE LANDSCAPE
11.1 INTRODUCTION
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN
11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY BEHAVIOR ANALYTICS MARKET VENDORS
11.3 REVENUE ANALYSIS, 2019–2023
11.4 MARKET SHARE ANALYSIS, 2023
11.4.1 MARKET RANKING ANALYSIS
11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023
11.5.1 STARS
11.5.2 EMERGING LEADERS
11.5.3 PERVASIVE PLAYERS
11.5.4 PARTICIPANTS
11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023
11.5.5.1 Company footprint
11.5.5.2 Offering footprint
11.5.5.3 Type footprint
11.5.5.4 Application footprint
11.5.5.5 Vertical footprint
11.5.5.6 Regional footprint
11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023
11.6.1 PROGRESSIVE COMPANIES
11.6.2 RESPONSIVE COMPANIES
11.6.3 DYNAMIC COMPANIES
11.6.4 STARTING BLOCKS
11.6.5 COMPETITIVE BENCHMARKING
11.6.5.1 Detailed list of key startups/SMEs
11.6.5.2 Competitive benchmarking of key startups/SMEs
11.7 BRAND/PRODUCT COMPARISON ANALYSIS
11.8 COMPANY VALUATION AND FINANCIAL METRICS
11.8.1 COMPANY VALUATION
11.8.2 FINANCIAL METRICS
11.9 COMPETITIVE SCENARIO AND TRENDS
11.9.1 DEALS
12 COMPANY PROFILES
12.1 KEY PLAYERS
12.1.1 QUALTRICS
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Deals
12.1.1.4 Mnm view
12.1.1.4.1 Key strengths
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses and competitive threats
12.1.2 OPENTEXT
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 Recent developments
12.1.2.3.1 Deals
12.1.2.4 Mnm view
12.1.2.4.1 Key strengths
12.1.2.4.2 Strategic choices
12.1.2.4.3 Weaknesses and competitive threats
12.1.3 MICROSOFT
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Deals
12.1.3.4 MnM view
12.1.3.4.1 Key strengths
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses and competitive threats
12.1.4 CISCO SYSTEMS, INC.
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Deals
12.1.4.4 MnM view
12.1.4.4.1 Key strengths
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses and competitive threats
12.1.5 IBM
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Deals
12.1.5.4 Mnm view
12.1.5.4.1 Key strengths
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses and competitive threats
12.1.6 ZOHO CORPORATION
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.7 ORACLE
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.7.3 Recent developments
12.1.7.3.1 Deals
12.1.8 VARONIS SYSTEMS, INC.
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Deals
12.1.9 FORTINET, INC.
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Deals
12.1.10 SECURONIX
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Deals
12.1.11 TERADATA
12.1.11.1 Business overview
12.1.11.2 Products/Solutions/Services offered
12.1.11.3 Recent developments
12.1.11.3.1 Deals
12.1.12 GOOGLE
12.1.12.1 Business overview
12.1.12.2 Products/Solutions/Services offered
12.1.12.3 Recent developments
12.1.12.3.1 Deals
12.1.13 ADOBE
12.1.13.1 Business overview
12.1.13.2 Products/Solutions/Services offered
12.1.13.3 Recent developments
12.1.13.3.1 Deals
12.1.14 SAS INSTITUTE
12.1.14.1 Business overview
12.1.14.2 Products/Solutions/Services offered
12.1.14.3 Recent developments
12.1.14.3.1 Deals
12.1.15 QLIK
12.1.16 84.51°
12.1.17 CONTENTSQUARE
12.2 STARTUPS/SMES
12.2.1 EXABEAM
12.2.2 CLEVERTAP
12.2.3 DTEX SYSTEMS
12.2.4 MOUSEFLOW
12.2.5 GURUCUL
12.2.6 NETSPRING
12.2.7 VISIER, INC.
12.2.8 TERAMIND
12.2.9 SPLASHBI
12.2.10 AMPLITUDE
12.2.11 PROHANCE
13 ADJACENT/RELATED MARKETS
13.1 INTRODUCTION
13.1.1 LIMITATIONS
13.2 CUSTOMER EXPERIENCE MANAGEMENT MARKET
13.2.1 MARKET DEFINITION
13.2.2 MARKET OVERVIEW
13.2.2.1 Customer experience management market, by offering
13.2.2.2 Customer experience management market, by deployment type
13.2.2.3 Customer experience management market, by organization size
13.2.2.4 Customer experience management market, by vertical
13.2.2.5 Customer experience management market, by region
13.3 CUSTOMER ANALYTICS MARKET
13.3.1 MARKET DEFINITION
13.3.2 MARKET OVERVIEW
13.3.2.1 Customer analytics market, by component
13.3.2.2 Customer analytics market, by solution
13.3.2.3 Customer analytics market, by service
13.3.2.4 Customer analytics market, by deployment type
13.3.2.5 Customer analytics market, by organization size
13.3.2.6 Customer analytics market, by application
13.3.2.7 Customer analytics market, by data source
13.3.2.8 Customer analytics market, by industry vertical
13.3.2.9 Customer analytics market, by region
14 APPENDIX
14.1 DISCUSSION GUIDE
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
14.3 CUSTOMIZATION OPTIONS
14.4 RELATED REPORTS
14.5 AUTHOR DETAILS
