<img src="https://ml.globenewswire.com/Resource/Download/908fb457-7f8e-4a08-9081-5565e3dfb3d7?size=2" nborder="0" align="left" hspace="5" vspace="5" title="22157.jpg" alt="Company Logo"/>OTT intelligence demand is rising for AI-led churn prevention, personalization, ad monetization and playback optimization, with opportunities in services, first-party data and privacy-ready tools.Dublin, Sept. 07, 2026 <a href="https://www.globenewswire.com" target="_blank">(GLOBE NEWSWIRE)</a> -- The <a href="https://www.researchandmarkets.com/reports/6265797/ott-customer-intelligence-market-share?utm_source=GNE&amp;utm_medium=PressRelease&amp;utm_code=lr92z5&amp;utm_campaign=2345101+-+OTT+Customer+Intelligence+Global+Market+Analysis+Report+2026%3a+Industry+to+Reach+%2410.6+Billion+by+2031+as+AI-Driven+Personalization+and+Churn+Prevention+Gain+Momentum&amp;utm_exec=jocamsai" rel="nofollow" target="_blank" title="OTT Customer Intelligence - Market Share Analysis, Industry Trends &amp; Statistics, Growth Forecasts (2026-2031)">"OTT Customer Intelligence - Market Share Analysis, Industry Trends &amp; Statistics, Growth Forecasts (2026-2031)"</a> has been added to ResearchAndMarkets.com's offering. The global OTT customer intelligence market is projected to grow from USD 5.37 billion in 2025 and USD 5.98 billion in 2026 to USD 10.60 billion by 2031, registering a compound annual growth rate of 12.13% between 2026 and 2031. Market expansion is being driven by rising subscriber churn, increased adoption of artificial intelligence, growing demand for personalized streaming experiences, and the need to improve customer lifetime value. Predictive Retention Investment Rises as Streaming Churn Intensifies Subscriber churn has become a significant financial concern for OTT streaming platforms, prompting operators to invest in dedicated customer intelligence solutions. These platforms analyze signals such as declining session frequency, lower content completion rates, reduced device usage, and changes in viewing behavior before subscribers cancel their services. A peer-reviewed study published in February 2026 found that hybrid AI models combining behavioral and text data can support churn prediction and targeted retention strategies for OTT providers. Customer intelligence systems help operators convert these insights into timely offers, personalized messages, service improvements, and win-back campaigns. Retention intelligence also supports advertising performance by helping platforms build higher-quality audience segments from first-party data. This creates additional value from the same customer information while reducing dependence on costly subscriber acquisition campaigns. AI-Driven Personalization Supports Revenue Growth Personalization across the OTT customer intelligence market is expanding beyond traditional content recommendations. Streaming services increasingly use behavioral data to optimize advertising frequency, payment-plan promotions, notification timing, content discovery, and customer engagement. Amazon Web Services reports that AI-led personalization and engagement optimization can reduce churn by as much as 30% for subscription businesses. In July 2025, Brightcove introduced a video engagement strategy incorporating automated metadata, advertising content analysis, multilingual dubbing, and predictive buffering. Adobe also launched Experience Platform Agent Orchestrator in March 2025 to coordinate AI agents across customer data, content, and journey management tools. These developments demonstrate a broader shift toward connected customer intelligence platforms that can recommend and execute decisions across the subscriber lifecycle rather than simply report viewing activity. As OTT providers prioritize revenue per viewer, demand is increasing for systems that link content engagement, subscription behavior, advertising exposure, payment activity, and service quality. Privacy and Data Sovereignty Create Operational Challenges Consent requirements, data sovereignty regulations, and cross-border identity restrictions continue to constrain unified audience strategies. Global streaming operators must comply with different rules governing personal data, behavioral targeting, and international data transfers. The European Union's General Data Protection Regulation requires strict controls over personal data processing, while regulatory frameworks in Brazil and India create additional compliance obligations. These requirements can limit the behavioral information available for global audience models and increase the resources needed to document and manage consent. OTT platforms may need to adopt contextual targeting, cohort-based analysis, clean rooms, and privacy-preserving data architectures when individual-level signals cannot be combined across jurisdictions. Customer intelligence providers must therefore balance regulatory compliance with the need to deliver effective retention, personalization, measurement, and advertising capabilities. Additional factors influencing market development include first-party data activation in cookieless advertising environments, real-time telemetry connecting playback quality with revenue outcomes, and fragmented customer identifiers across devices, households, and platforms. Solutions Maintain Leading Market Position Solutions accounted for 81.42% of the OTT customer intelligence market in 2025. This position reflects strong demand for scalable software platforms that integrate customer data, create unified profiles, analyze viewing behavior, predict churn, support personalization, improve advertising intelligence, and optimize customer experiences. A 2025 study of cloud-based predictive analytics found that integrated media subscription systems could improve customer lifetime value by 30% to 40% through more precise retention interventions. The findings support continued investment in platforms that convert fragmented subscriber information into coordinated actions across acquisition, engagement, retention, monetization, and customer care. Services are forecast to grow at a CAGR of 13.83% through 2031 as streaming operators seek implementation assistance, data engineering expertise, model governance, and ongoing optimization. Automated analytics and reporting tools are also reducing manual workloads while enabling teams to identify performance issues and customer trends more quickly. North America Leads While Asia-Pacific Records Fastest Growth North America generated 40.82% of global OTT customer intelligence market revenue in 2025. The region benefits from a high concentration of subscription video platforms, free ad-supported streaming television channels, and connected television advertising systems. Streaming represented 46.6% of ad-supported television viewing during the first quarter of 2026, reinforcing demand for cross-platform measurement and first-party audience data activation. Europe's growth is centered on major markets including Germany, the United Kingdom, and France. Zattoo reported that 54% of German households received television through internet-based services in February 2026, up from 45% in 2025. This transition is increasing demand for OTT-focused analytics among audiences previously measured through conventional cable and broadcast systems. South America is also gaining momentum, with Amagi reporting 190% year-over-year growth in regional FAST viewing hours through June 2026. Asia-Pacific is expected to register the fastest regional CAGR of 13.95% through 2031. Expanding OTT audiences in India, South Korea, and Japan, combined with multilingual content and localization requirements, are creating demand for more adaptable customer intelligence platforms. Privacy requirements and local data-handling rules are also shaping deployment strategies. In Africa, South Africa, Egypt, and Nigeria are emerging centers of subscriber analytics demand, although bandwidth availability and infrastructure limitations continue to affect broader real-time adoption. Key Topics Covered 1 INTRODUCTION 1.1 Study Assumptions and Market Definition 1.2 Scope of the Study 2 RESEARCH METHODOLOGY 3 EXECUTIVE SUMMARY 4 MARKET LANDSCAPE 4.1 Market Overview 4.2 Market Drivers 4.2.1 Streaming Churn Economics Elevating Predictive Retention Investment 4.2.2 AI-Driven Personalization Expanding Revenue per Viewer 4.2.3 First-Party Data Activation Under Cookieless Advertising 4.2.4 Real-Time Experience Telemetry Linking Playback Quality to Revenue 4.2.5 FAST and Hybrid Monetization Increasing Audience Intelligence Demand 4.2.6 Localized Content and Payment Complexity Driving Unified Profiles 4.3 Market Restraints 4.3.1 Consent, Data Sovereignty, and Cross-Border Identity Constraints 4.3.2 Fragmented Identifiers Across Devices, Households, and Platforms 4.3.3 High Cost of Low-Latency Data Infrastructure and Cloud Egress 4.3.4 Scarcity of Streaming Data Engineering and Model Governance Skills 4.4 Industry Value Chain Analysis 4.5 Impact of Macroeconomic Factors on the Market 4.6 Regulatory Landscape 4.7 Technological Outlook 4.8 Porter's Five Forces Analysis 4.8.1 Threat of New Entrants 4.8.2 Bargaining Power of Suppliers 4.8.3 Bargaining Power of Buyers 4.8.4 Threat of Substitutes 4.8.5 Intensity of Competitive Rivalry 5 MARKET SIZE AND GROWTH FORECASTS (VALUE) 5.1 By Offering 5.1.1 Solutions 5.1.1.1 Customer Data Integration and Unified Customer Profiles 5.1.1.2 Audience, Viewing, and Engagement Intelligence 5.1.1.3 Subscriber, Churn, and Customer Value Intelligence 5.1.1.4 Personalization, Content Discovery, and Decision Intelligence 5.1.1.5 Advertising and Audience Monetization Intelligence 5.1.1.6 Customer Experience, Product, and Service Intelligence 5.1.2 Services 5.2 By Application 5.2.1 Customer Acquisition and Conversion Optimization 5.2.2 Engagement, Personalization, and Content Discovery 5.2.3 Churn Prevention, Retention, and Win-Back 5.2.4 Subscription, Payment, and Customer Value Optimization 5.2.5 Advertising and Audience Monetization 5.2.6 Product, Playback, and Customer-Care Optimization 5.2.7 Customer-Driven Content and Portfolio Planning 5.3 By End User 5.3.1 OTT Streaming Platforms 5.3.2 Broadcasters 5.3.3 Telecom and Pay-TV Operators 5.3.4 Media and Entertainment Companies 5.3.5 Other End Users 5.4 By Geography 5.4.1 North America 5.4.1.1 United States 5.4.1.2 Canada 5.4.1.3 Mexico 5.4.2 South America 5.4.2.1 Brazil 5.4.2.2 Argentina 5.4.2.3 Rest of South America 5.4.3 Europe 5.4.3.1 United Kingdom 5.4.3.2 Germany 5.4.3.3 France 5.4.3.4 Italy 5.4.3.5 Spain 5.4.3.6 Russia 5.4.3.7 Rest of Europe 5.4.4 Asia-Pacific 5.4.4.1 China 5.4.4.2 Japan 5.4.4.3 India 5.4.4.4 South Korea 5.4.4.5 Australia and New Zealand 5.4.4.6 Rest of Asia-Pacific 5.4.5 Middle East 5.4.5.1 Saudi Arabia 5.4.5.2 United Arab Emirates 5.4.5.3 Turkey 5.4.5.4 Rest of Middle East 5.4.6 Africa 5.4.6.1 South Africa 5.4.6.2 Nigeria 5.4.6.3 Egypt 5.4.6.4 Rest of Africa 6 COMPETITIVE LANDSCAPE 6.1 Market Concentration 6.2 Strategic Moves 6.3 Market Positioning Analysis 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments) 6.4.1 Adobe Inc. 6.4.2 Operative Media, Inc. 6.4.3 Amplitude, Inc. 6.4.4 Amazon Web Services, Inc. 6.4.5 Mux, Inc. 6.4.6 Cleeng B.V. 6.4.7 Confluent, Inc. 6.4.8 Conviva Inc. 6.4.9 Databricks, Inc. 6.4.10 Evergent, Inc. 6.4.11 Google LLC 6.4.12 International Business Machines Corporation 6.4.13 iSpot.tv, Inc. 6.4.14 MediaMelon, Inc. 6.4.15 Microsoft Corporation 6.4.16 Nielsen Holdings plc 6.4.17 Oracle Corporation 6.4.18 Parrot Analytics Limited 6.4.19 Salesforce, Inc. 6.4.20 Samba TV, Inc. 6.4.21 Snowflake Inc. 6.4.22 TVision Insights, Inc. 6.4.23 XroadMedia B.V. 7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK 7.1 White-Space and Unmet-Need Assessment For more information about this report visit <a href="https://www.researchandmarkets.com/reports/6265797/ott-customer-intelligence-market-share?utm_source=GNE&amp;utm_medium=PressRelease&amp;utm_code=lr92z5&amp;utm_campaign=2345101+-+OTT+Customer+Intelligence+Global+Market+Analysis+Report+2026%3a+Industry+to+Reach+%2410.6+Billion+by+2031+as+AI-Driven+Personalization+and+Churn+Prevention+Gain+Momentum&amp;utm_exec=jocamsai" rel="nofollow" target="_blank" title="">https://www.researchandmarkets.com/r/sg04c3</a> About ResearchAndMarkets.com ResearchAndMarkets.com is the world's leading source for international market research reports and market data. 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OTT Customer Intelligence Global Market Analysis Report 2026: Industry to Reach $10.6 Billion by 2031 as AI-Driven Personalization and Churn Prevention Gain Momentum

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