세계의 행동 분석 시장 : 솔루션별, 용도별 - 예측(-2029년)

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.

• 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%.

The major players in the behavior analytics market are Qualtrics (US), OpenText (Canada), and 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). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their behavior analytics market footprint.

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).

TABLE OF CONTENTS

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