Summary

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).

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Table of Contents

1 INTRODUCTION 32
1.1 STUDY OBJECTIVES 32
1.2 MARKET DEFINITION 32
1.3 STUDY SCOPE 33
1.3.1 MARKET SEGMENTATION 33
1.3.2 INCLUSIONS AND EXCLUSIONS 34
1.3.3 YEARS CONSIDERED 34
1.4 CURRENCY CONSIDERED 35
1.5 STAKEHOLDERS 35
2 RESEARCH METHODOLOGY 36
2.1 RESEARCH DATA 36
2.1.1 SECONDARY DATA 37
2.1.1.1 Key data from secondary sources 37
2.1.2 PRIMARY DATA 38
2.1.2.1 Breakup of primary interviews 38
2.1.2.2 Primary interviews with experts 38
2.1.2.3 Expert insights 39
2.2 MARKET SIZE ESTIMATION METHODOLOGY 39
2.2.1 TOP-DOWN APPROACH 39
2.2.1.1 Supply-side analysis 40
2.2.2 BOTTOM-UP APPROACH 40
2.2.2.1 Demand-side analysis 41
2.3 DATA TRIANGULATION 43
2.4 RESEARCH ASSUMPTIONS 44
2.5 RESEARCH LIMITATIONS 44
2.6 RISK ASSESSMENT 44
3 EXECUTIVE SUMMARY 46
4 PREMIUM INSIGHTS 49
4.1 ATTRACTIVE OPPORTUNITIES FOR KEY PLAYERS IN BEHAVIOR ANALYTICS MARKET 49
4.2 BEHAVIOR ANALYTICS MARKET: TOP GROWING SEGMENTS 49
4.3 BEHAVIOR ANALYTICS MARKET, BY APPLICATION 50
4.4 BEHAVIOR ANALYTICS MARKET, BY OFFERING 50
4.5 BEHAVIOR ANALYTICS MARKET, BY VERTICAL 51
4.6 BEHAVIOR ANALYTICS MARKET, BY TYPE 51
4.7 NORTH AMERICA: BEHAVIOR ANALYTICS MARKET, BY APPLICATION AND OFFERING 52
5 MARKET OVERVIEW AND INDUSTRY TRENDS 53
5.1 INTRODUCTION 53
5.2 MARKET DYNAMICS 53
5.2.1 DRIVERS 54
5.2.1.1 Optimizing marketing strategies 54
5.2.1.2 Enhancing product development 54
5.2.1.3 Predicting future trends 55
5.2.2 RESTRAINTS 55
5.2.2.1 Data privacy concerns 55
5.2.2.2 Technical expertise 55
5.2.2.3 Data quality and accuracy 55
5.2.3 OPPORTUNITIES 55
5.2.3.1 Enhancing customer retention 55
5.2.3.2 Fraud detection and prevention 56
5.2.3.3 Targeted content delivery 56
5.2.4 CHALLENGES 56
5.2.4.1 Contextual understanding 56
5.2.4.2 Behavioral noise 56
5.2.4.3 Scalability issues 56
5.3 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS’ BUSINESSES 57
5.4 CURRENT AND EMERGING BUSINESS MODELS 57
5.4.1 FREEMIUM MODEL 57
5.4.2 PAY-AS-YOU-GO MODEL 57
5.4.3 ANNUAL SUBSCRIPTION MODEL 58
5.4.4 ENTERPRISE LICENSING MODEL 58
5.5 PRICING ANALYSIS 58
5.5.1 AVERAGE PRICING ANALYSIS, BY SOLUTION 58
5.5.2 INDICATIVE PRICING ANALYSIS, BY SUBSCRIPTION 59
5.6 VALUE CHAIN ANALYSIS 60
5.7 ECOSYSTEM ANALYSIS 61
5.8 TECHNOLOGY ANALYSIS 63
5.8.1 KEY TECHNOLOGIES 63
5.8.1.1 Machine learning (ML) 63
5.8.1.2 Artificial intelligence (AI) 63
5.8.1.3 Big data analytics 63
5.8.2 COMPLEMENTARY TECHNOLOGIES 63
5.8.2.1 Internet of things (IoT) 63
5.8.2.2 Cloud computing 63
5.8.2.3 Data integration tools 64
 
5.8.3 ADJACENT TECHNOLOGIES 64
5.8.3.1 Customer relationship management (CRM) 64
5.8.3.2 User experience (UX) design 64
5.8.3.3 Cybersecurity 64
5.9 PATENT ANALYSIS 64
5.10 KEY CONFERENCES AND EVENTS 67
5.11 REGULATORY LANDSCAPE 67
5.11.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS 67
5.11.1.1 General Data Protection Regulation (GDPR) - European Union 67
5.11.1.2 Federal Trade Commission (FTC) - US 68
5.11.1.3 International Association Of Privacy Professionals (IAPP) 68
5.11.1.4 North America 69
5.11.1.4.1 US 69
5.11.1.4.2 Canada 69
5.11.1.5 Europe 70
5.11.1.5.1 Germany 70
5.11.1.5.2 UK 70
5.11.1.5.3 Europe-wide 70
5.11.1.6 Asia Pacific 70
5.11.1.6.1 Japan 70
5.11.1.6.2 India 70
5.11.1.6.3 Australia 70
5.11.1.7 Middle East & Africa 70
5.11.1.7.1 South Africa 70
5.11.1.7.2 UAE 71
5.11.1.8 Latin America 71
5.11.1.8.1 Brazil 71
5.12 TECHNOLOGY ROADMAP FOR BEHAVIOR ANALYTICS MARKET 71
5.12.1 SHORT-TERM ROADMAP (2023–2025) 71
5.12.2 MID-TERM ROADMAP (2026–2028) 71
5.12.3 LONG-TERM ROADMAP (2029–2030) 71
5.13 PORTER’S FIVE FORCES ANALYSIS 72
5.13.1 THREAT OF NEW ENTRANTS 73
5.13.2 THREAT OF SUBSTITUTES 73
5.13.3 BARGAINING POWER OF SUPPLIERS 73
5.13.4 BARGAINING POWER OF BUYERS 73
5.13.5 INTENSITY OF COMPETITIVE RIVALRY 74
5.14 KEY STAKEHOLDERS AND BUYING CRITERIA 74
5.14.1 KEY STAKEHOLDERS IN BUYING PROCESS 74
5.14.2 BUYING CRITERIA 75
 
5.15 BRIEF HISTORY OF REVOLUTION OF BEHAVIOR ANALYTICS SOLUTIONS 76
5.16 BEST PRACTICES IN BEHAVIOR ANALYTICS MARKET 76
5.16.1 DEFINE CLEAR OBJECTIVES 76
5.16.2 ENSURE DATA QUALITY 77
5.16.3 IMPLEMENT PRIVACY AND COMPLIANCE MEASURES 77
5.16.4 LEVERAGE ADVANCED ANALYTICS TOOLS 77
5.16.5 FOCUS ON ACTIONABLE INSIGHTS 77
5.17 BEHAVIOR ANALYTICS MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES 77
5.18 IMPACT OF GENERATIVE AI ON BEHAVIOR ANALYTICS 78
5.18.1 TOP USE CASES AND MARKET POTENTIAL 78
5.18.1.1 Key use cases 78
5.18.2 BEST PRACTICES 79
5.18.2.1 Healthcare 79
5.18.2.2 Manufacturing 79
5.18.2.3 Energy 79
5.18.3 CASE STUDIES OF GENERATIVE AI IMPLEMENTATION 80
5.18.3.1 Global retail giant enhances customer experience 80
5.18.3.2 Major healthcare provider transforms patient care 80
5.18.4 CLIENT READINESS AND IMPACT ASSESSMENT 80
5.18.4.1 Client A: Prominent retailer 80
5.18.4.2 Client B: Leading healthcare organization 80
5.18.4.3 Client C: Major manufacturing enterprise 80
5.18.4.4 Client D: Prominent energy provider 80
5.19 INVESTMENT AND FUNDING SCENARIO 81
5.20 CASE STUDY ANALYSIS 81
5.20.1 LARGE GOVERNMENT AGENCY ENHANCED THREAT RESPONSE WITH ARCSIGHT SUITE 81
5.20.2 SUPER.COM IMPROVED CUSTOMER RETENTION BY 90% USING AMPLITUDE EXPERIMENT 82
5.20.3 CREDO USED HOTJAR HEATMAPS AND RECORDINGS TO INCREASE REVENUE BY 220% 82
5.20.4 METROHEALTH ENHANCED EMPLOYEE ENGAGEMENT AND ALIGNMENT USING PERCEPTYX PEOPLE INSIGHTS SOLUTION 83
5.20.5 SERVICENOW ENHANCED CUSTOMER EXPERIENCE USING QUALTRICS
XM SOLUTION 83
6 BEHAVIOR ANALYTICS MARKET, BY OFFERING 84
6.1 INTRODUCTION 85
6.1.1 OFFERING: BEHAVIOR ANALYTICS MARKET DRIVERS 85
6.2 SOLUTIONS 86
6.2.1 USER & ENTITY BEHAVIOR 88
6.2.1.1 Proactive approach to uncover threats that conventional defenses might miss 88
 
6.2.2 A/B TESTING 89
6.2.2.1 Vital for continuously optimizing digital experiences, emphasizing data-driven decision-making 89
6.2.3 FEEDBACK & VOICE OF CUSTOMER (VOC) 90
6.2.3.1 Systematic collection and analysis of feedback from wide range of sources to identify trends and issues proactively 90
6.2.4 HEATMAP 91
6.2.4.1 Instrumental in pinpointing UX issues and strategically placing content to enhance conversion rates and website performance 91
6.2.5 OTHER SOLUTIONS 92
6.3 SERVICES 93
6.3.1 PROFESSIONAL SERVICES 95
6.3.1.1 Effective interpretation of behavior data and applying insights to enhance performance and strategic planning 95
6.3.2 MANAGED SERVICES 96
6.3.2.1 Leveraging behavior analytics effectively without burden of
managing complex systems internally 96
7 BEHAVIOR ANALYTICS MARKET, BY TYPE 97
7.1 INTRODUCTION 98
7.1.1 TYPE: BEHAVIOR ANALYTICS MARKET DRIVERS 98
7.2 CUSTOMER-CENTRIC 99
7.2.1 ENABLING INTEGRATION OF CUSTOMER-CENTRIC INSIGHTS INTO BUSINESS STRATEGIES FOR ENHANCED ENGAGEMENT AND SATISFACTION 99
7.3 EMPLOYEE-CENTRIC 100
7.3.1 ADAPTING TO STRATEGIES TO HELP MEET EVOLVING NEEDS AND ENHANCE OVERALL TEAM PERFORMANCE 100
8 BEHAVIOR ANALYTICS MARKET, BY APPLICATION 102
8.1 INTRODUCTION 103
8.1.1 APPLICATION: BEHAVIOR ANALYTICS MARKET DRIVERS 103
8.2 CUSTOMER ENGAGEMENT 104
8.2.1 DATA-DRIVEN APPROACH FOR BUSINESSES TO REFINE MARKETING STRATEGIES AND PRODUCT DEVELOPMENT FOR BETTER CUSTOMER UX 104
8.3 BRAND PROMOTION 105
8.3.1 OPTIMIZING CUSTOMER TARGETING TO DELIVER RIGHT PRODUCTS AND SERVICES AT RIGHT TIME 105
8.4 WORKFORCE OPTIMIZATION 107
8.4.1 TAPPING INTO REAL-TIME DECISION-MAKING AND PROCESS AUTOMATION FOR BETTER OPERATIONAL EFFICIENCY 107
8.5 THREAT DETECTION & PREVENTION 108
8.5.1 MONITORING USER AND ENTITY ACTIVITIES TO IDENTIFY ANOMALIES THAT COULD INDICATE POTENTIAL THREATS 108
8.6 OTHER APPLICATIONS 109
 
9 BEHAVIOR ANALYTICS MARKET, BY VERTICAL 111
9.1 INTRODUCTION 112
9.1.1 VERTICAL: BEHAVIOR ANALYTICS MARKET DRIVERS 112
9.2 BFSI 114
9.2.1 NEED TO PREDICT CUSTOMER NEEDS AND TAILOR INSURANCE PRODUCTS TO BETTER MEET INDIVIDUAL PREFERENCES 114
9.2.2 CASE STUDIES 115
9.2.2.1 Banking corporation leveraged AI-powered behavior analytics to combat fraud and enhance customer trust 115
9.2.2.2 Indian NBFC enhanced customer experience and proactive credit management through behavior analytics 115
9.3 RETAIL & ECOMMERCE 115
9.3.1 ALLOWS HIGHLY PERSONALIZED EXPERIENCES, TAILORING PRODUCT RECOMMENDATIONS AND PROMOTIONAL OFFERS TO PREFERENCES 115
9.3.2 CASE STUDIES 116
9.3.2.1 Beauty retailer enhanced customer experience incorporating predictive analytics in its mobile app 116
9.3.2.2 E-commerce giant improved customer experience and sales through behavior analytics and personalized recommendations 116
9.4 TELECOM 117
9.4.1 CUSTOMIZED PLANS TO HELP TELECOM SERVICES INTERACT WITH AND RETAIN CUSTOMERS, MAINTAINING COMPETITIVE ADVANTAGE 117
9.4.2 CASE STUDIES 118
9.4.2.1 England-based telecom giant utilized behavior analytics to improve customer retention and personalize services 118
9.4.2.2 American telecom company strengthened customer retention through behavior analytics and personalized offers 118
9.5 IT & ITES 118
9.5.1 BEHAVIOR ANALYTICS SUPPORTED DEI INITIATIVES BY ADDRESSING PAYROLL DISPARITIES AND PROMOTING FAIR COMPENSATION 118
9.5.2 CASE STUDIES 119
9.5.2.1 American IT company leveraged behavior analytics to optimize software development processes 119
9.5.2.2 Leading technology company reinforced cybersecurity through user behavior analytics to prevent data breaches 119
9.6 MEDIA & ENTERTAINMENT 119
9.6.1 INTEGRATION OF BEHAVIOR ANALYTICS CRUCIAL FOR CONTENT CREATION, USER ENGAGEMENT, AND STRATEGIC REVENUE GROWTH 119
9.6.2 CASE STUDIES 120
9.6.2.1 Streaming platform enhanced user engagement and retention through advanced behavior analytics 120
9.6.2.2 Music streaming platform boosted user engagement and retention through personalized recommendations powered by behavior analytics 121
 
9.7 HEALTHCARE 121
9.7.1 TARGETED MARKETING AND PATIENT OUTREACH TO HELP HEALTHCARE ORGANIZATIONS TAILOR COMMUNICATIONS AND SERVICES TO SPECIFIC PATIENT SEGMENTS 121
9.7.2 CASE STUDIES 122
9.7.2.1 Healthcare provider utilized behavior analytics to optimize patient care and engagement 122
9.7.2.2 UK public healthcare system increased patient engagement and care delivery through data analytics 123
9.8 GOVERNMENT & DEFENSE 123
9.8.1 BEHAVIOR ANALYTICS KEY IN BOOSTING PUBLIC SAFETY BY MONITORING BEHAVIOR PATTERNS TO PREVENT UNLAWFUL ACTIVITIES 123
9.8.2 CASE STUDIES 124
9.8.2.1 UK ministry of defence utilized behavior analytics for enhanced national security insights 124
9.8.2.2 Department of Defense heightened cybersecurity by tracking user behavior to prevent threats 124
9.9 TRAVEL & HOSPITALITY 124
9.9.1 DEMAND TO ENHANCE REVENUE MANAGEMENT AND OPERATIONAL EFFECTIVENESS BY FORECASTING DEMAND AND OPTIMIZING PRICING 124
9.9.2 CASE STUDIES 125
9.9.2.1 Hotel chain enhanced loyalty program through behavior analytics and personalized guest experiences 125
9.9.2.2 Finnish carrier boosted customer experience through predictive behavior analytics 126
9.10 OTHER VERTICALS 126
10 BEHAVIOR ANALYTICS MARKET, BY REGION 128
10.1 INTRODUCTION 129
10.2 NORTH AMERICA 130
10.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK 131
10.2.2 US 136
10.2.2.1 Biden administration's executive order aimed at enhancing cybersecurity, highlighting criticality of advanced threat detection tools 136
10.2.3 CANADA 140
10.2.3.1 Governmental focus on cybersecurity resulted in increased investments in behavior analytics across both public and private sectors 140
10.3 EUROPE 140
10.3.1 EUROPE: MACROECONOMIC OUTLOOK 141
10.3.2 UK 145
10.3.2.1 Strong focus on digital innovation led to growing adoption of behavior analytics tools by large companies 145
 
10.3.3 GERMANY 149
10.3.3.1 Integration of analytics tools with ERP systems: Growing trend helping businesses optimize operations and enhance customer interactions 149
10.3.4 FRANCE 149
10.3.4.1 Rise of digital transformation initiatives in supporting omnichannel strategies and improving customer engagement 149
10.3.5 ITALY 150
10.3.5.1 Growth of online retail and increase in importance of data-driven decision-making in Italy 150
10.3.6 SPAIN 153
10.3.6.1 Government initiatives to support digital innovation and improve competitiveness of local businesses 153
10.3.7 NORDICS 154
10.3.7.1 Significant surge in adoption, underscoring broader trend toward integrating financial services into non-financial digital platforms 154
10.3.8 REST OF EUROPE 154
10.4 ASIA PACIFIC 155
10.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK 155
10.4.2 CHINA 161
10.4.2.1 Widespread integration of AI and ML into analytic platforms to process immense data volumes for real-time actionable business insights 161
10.4.3 JAPAN 164
10.4.3.1 Advanced technology ecosystem to facilitate integration of behavior analytics with other advanced technologies, such as IoT and robotics 164
10.4.4 INDIA 165
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 165
10.4.5 AUSTRALIA & NEW ZEALAND 169
10.4.5.1 Growing ecosystem of analytics providers, consulting firms, and academic institutions to contribute to development and implementation of advanced solutions 169
10.4.6 SOUTH KOREA 169
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 169
10.4.7 REST OF ASIA PACIFIC 170
10.5 MIDDLE EAST & AFRICA 170
10.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK 171
10.5.2 MIDDLE EAST 176
10.5.2.1 Strategic geographic location and its role as global business hub amplify potential of behavior analytics 176
 
10.5.2.2 UAE 181
10.5.2.2.1 Partnerships between ecommerce platforms and financial institutions enabled seamless payment experiences, driving transaction volumes 181
10.5.2.3 KSA 181
10.5.2.3.1 Surge in partnerships between fintech and traditional businesses aimed at embedding financial services into everyday transactions 181
10.5.2.4 Kuwait 185
10.5.2.4.1 Implementation of AI-driven solutions to assess customer behavior 185
10.5.2.5 Bahrain 185
10.5.2.5.1 Increase in prevalence of eCommerce, along with expansion of online banking and telecommunications 185
10.5.2.6 Rest of the Middle East 185
10.5.3 AFRICA 185
10.5.3.1 Mobile-centric economy where significant population accesses financial services through smartphones 185
10.6 LATIN AMERICA 186
10.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK 186
10.6.2 BRAZIL 191
10.6.2.1 Expansion driven by robust digital infrastructure, including high smartphone penetration and increasing internet connectivity 191
10.6.3 MEXICO 195
10.6.3.1 Supportive regulatory environment and growing fintech ecosystem to facilitate collaborations to drive innovation 195
10.6.4 REST OF LATIN AMERICA 195
11 COMPETITIVE LANDSCAPE 196
11.1 INTRODUCTION 196
11.2 KEY PLAYER STRATEGIES/RIGHT TO WIN 196
11.2.1 OVERVIEW OF STRATEGIES ADOPTED BY KEY BEHAVIOR ANALYTICS MARKET VENDORS 196
11.3 REVENUE ANALYSIS, 2019–2023 198
11.4 MARKET SHARE ANALYSIS, 2023 198
11.4.1 MARKET RANKING ANALYSIS 200
11.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2023 202
11.5.1 STARS 202
11.5.2 EMERGING LEADERS 202
11.5.3 PERVASIVE PLAYERS 202
11.5.4 PARTICIPANTS 202
11.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2023 204
11.5.5.1 Company footprint 204
11.5.5.2 Offering footprint 205
11.5.5.3 Type footprint 206
11.5.5.4 Application footprint 207
11.5.5.5 Vertical footprint 208
11.5.5.6 Regional footprint 209
11.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2023 210
11.6.1 PROGRESSIVE COMPANIES 210
11.6.2 RESPONSIVE COMPANIES 210
11.6.3 DYNAMIC COMPANIES 210
11.6.4 STARTING BLOCKS 211
11.6.5 COMPETITIVE BENCHMARKING 212
11.6.5.1 Detailed list of key startups/SMEs 212
11.6.5.2 Competitive benchmarking of key startups/SMEs 213
11.7 BRAND/PRODUCT COMPARISON ANALYSIS 214
11.8 COMPANY VALUATION AND FINANCIAL METRICS 215
11.8.1 COMPANY VALUATION 215
11.8.2 FINANCIAL METRICS 215
11.9 COMPETITIVE SCENARIO AND TRENDS 216
11.9.1 DEALS 216
12 COMPANY PROFILES 218
12.1 KEY PLAYERS 218
12.1.1 QUALTRICS 218
12.1.1.1 Business overview 218
12.1.1.2 Products/Solutions/Services offered 218
12.1.1.3 Recent developments 219
12.1.1.3.1 Deals 219
12.1.1.4 Mnm view 219
12.1.1.4.1 Key strengths 219
12.1.1.4.2 Strategic choices 219
12.1.1.4.3 Weaknesses and competitive threats 220
12.1.2 OPENTEXT 221
12.1.2.1 Business overview 221
12.1.2.2 Products/Solutions/Services offered 222
12.1.2.3 Recent developments 223
12.1.2.3.1 Deals 223
12.1.2.4 Mnm view 223
12.1.2.4.1 Key strengths 223
12.1.2.4.2 Strategic choices 223
12.1.2.4.3 Weaknesses and competitive threats 223
12.1.3 MICROSOFT 224
12.1.3.1 Business overview 224
12.1.3.2 Products/Solutions/Services offered 225
 
12.1.3.3 Recent developments 226
12.1.3.3.1 Deals 226
12.1.3.4 MnM view 226
12.1.3.4.1 Key strengths 226
12.1.3.4.2 Strategic choices 227
12.1.3.4.3 Weaknesses and competitive threats 227
12.1.4 CISCO SYSTEMS, INC. 228
12.1.4.1 Business overview 228
12.1.4.2 Products/Solutions/Services offered 229
12.1.4.3 Recent developments 230
12.1.4.3.1 Deals 230
12.1.4.4 MnM view 230
12.1.4.4.1 Key strengths 230
12.1.4.4.2 Strategic choices 230
12.1.4.4.3 Weaknesses and competitive threats 231
12.1.5 IBM 232
12.1.5.1 Business overview 232
12.1.5.2 Products/Solutions/Services offered 233
12.1.5.3 Recent developments 234
12.1.5.3.1 Deals 234
12.1.5.4 Mnm view 234
12.1.5.4.1 Key strengths 234
12.1.5.4.2 Strategic choices 234
12.1.5.4.3 Weaknesses and competitive threats 235
12.1.6 ZOHO CORPORATION 236
12.1.6.1 Business overview 236
12.1.6.2 Products/Solutions/Services offered 236
12.1.7 ORACLE 238
12.1.7.1 Business overview 238
12.1.7.2 Products/Solutions/Services offered 239
12.1.7.3 Recent developments 240
12.1.7.3.1 Deals 240
12.1.8 VARONIS SYSTEMS, INC. 241
12.1.8.1 Business overview 241
12.1.8.2 Products/Solutions/Services offered 242
12.1.8.3 Recent developments 243
12.1.8.3.1 Deals 243
12.1.9 FORTINET, INC. 244
12.1.9.1 Business overview 244
12.1.9.2 Products/Solutions/Services offered 245
12.1.9.3 Recent developments 246
12.1.9.3.1 Deals 246
12.1.10 SECURONIX 247
12.1.10.1 Business overview 247
12.1.10.2 Products/Solutions/Services offered 247
12.1.10.3 Recent developments 248
12.1.10.3.1 Deals 248
12.1.11 TERADATA 249
12.1.11.1 Business overview 249
12.1.11.2 Products/Solutions/Services offered 250
12.1.11.3 Recent developments 251
12.1.11.3.1 Deals 251
12.1.12 GOOGLE 252
12.1.12.1 Business overview 252
12.1.12.2 Products/Solutions/Services offered 253
12.1.12.3 Recent developments 254
12.1.12.3.1 Deals 254
12.1.13 ADOBE 255
12.1.13.1 Business overview 255
12.1.13.2 Products/Solutions/Services offered 256
12.1.13.3 Recent developments 257
12.1.13.3.1 Deals 257
12.1.14 SAS INSTITUTE 258
12.1.14.1 Business overview 258
12.1.14.2 Products/Solutions/Services offered 258
12.1.14.3 Recent developments 259
12.1.14.3.1 Deals 259
12.1.15 QLIK 260
12.1.16 84.51° 261
12.1.17 CONTENTSQUARE 262
12.2 STARTUPS/SMES 263
12.2.1 EXABEAM 263
12.2.2 CLEVERTAP 264
12.2.3 DTEX SYSTEMS 265
12.2.4 MOUSEFLOW 266
12.2.5 GURUCUL 267
12.2.6 NETSPRING 268
12.2.7 VISIER, INC. 269
12.2.8 TERAMIND 270
12.2.9 SPLASHBI 271
12.2.10 AMPLITUDE 272
12.2.11 PROHANCE 273
 
13 ADJACENT/RELATED MARKETS 274
13.1 INTRODUCTION 274
13.1.1 LIMITATIONS 274
13.2 CUSTOMER EXPERIENCE MANAGEMENT MARKET 274
13.2.1 MARKET DEFINITION 274
13.2.2 MARKET OVERVIEW 275
13.2.2.1 Customer experience management market, by offering 275
13.2.2.2 Customer experience management market, by deployment type 276
13.2.2.3 Customer experience management market, by organization size 276
13.2.2.4 Customer experience management market, by vertical 277
13.2.2.5 Customer experience management market, by region 278
13.3 CUSTOMER ANALYTICS MARKET 278
13.3.1 MARKET DEFINITION 278
13.3.2 MARKET OVERVIEW 278
13.3.2.1 Customer analytics market, by component 279
13.3.2.2 Customer analytics market, by solution 279
13.3.2.3 Customer analytics market, by service 279
13.3.2.4 Customer analytics market, by deployment type 280
13.3.2.5 Customer analytics market, by organization size 280
13.3.2.6 Customer analytics market, by application 280
13.3.2.7 Customer analytics market, by data source 281
13.3.2.8 Customer analytics market, by industry vertical 281
13.3.2.9 Customer analytics market, by region 282
14 APPENDIX 283
14.1 DISCUSSION GUIDE 283
14.2 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 286
14.3 CUSTOMIZATION OPTIONS 288
14.4 RELATED REPORTS 288
14.5 AUTHOR DETAILS 289