Online Personals Dating Services Market by Service (Matchmaking, Social Dating, Adult Dating), Matching Technology (AI Based, Traditional), Payment Model, Age Group, Platform - Global Forecast 2025-2032
Description
The Online Personals Dating Services Market was valued at USD 8.80 billion in 2024 and is projected to grow to USD 9.51 billion in 2025, with a CAGR of 8.13%, reaching USD 16.45 billion by 2032.
A strategic orientation to the evolving digital dating ecosystem emphasizing trust, product differentiation, and governance for sustainable user engagement
The online personals and dating services landscape has evolved from simple profile listings to complex ecosystems driven by technology, social norms, and shifting consumer expectations. Contemporary platforms mediate human connection at scale, blending design, trust, and data-driven discovery to meet users’ relational goals. As competition intensifies, business leaders must focus on product differentiation, user experience, and operational resilience while responding to regulatory and societal shifts that influence platform governance and monetization strategies.
Emerging user behaviors, including a higher demand for authenticity, safety features, and nuanced matching pathways, are reshaping core product requirements. In parallel, the rise of privacy-conscious regulation and heightened scrutiny of algorithmic decision-making demand robust governance frameworks. Consequently, organizations should balance the drive for engagement with transparent policies that foster long-term trust. Looking ahead, success will hinge on integrating human-centered design with scalable technology infrastructure and clear ethical guardrails, enabling platforms to deliver meaningful connections while mitigating reputational and legal risks.
Taken together, these dynamics require cross-functional alignment across product, legal, data science, and marketing teams to translate strategic intent into measurable improvements in user satisfaction and retention. Continuous learning, rapid experimentation, and disciplined measurement will be essential for sustaining relevance in an increasingly crowded digital social marketplace.
How converging technologies, evolving user expectations, and heightened regulatory scrutiny are redefining competitive advantage and product strategy in dating services
The landscape of online personals is undergoing transformative shifts as next-generation technologies converge with new expectations around privacy, inclusivity, and value exchange. Platform evolution is no longer limited to interface refinements; it now includes the adoption of sophisticated matching techniques, richer content formats, and orchestration of multi-channel user journeys that blend synchronous and asynchronous interactions. Consequently, product roadmaps must incorporate data ethics and explainability alongside performance improvements.
User demographics and behaviors are also shifting, with younger cohorts gravitating toward mobile-first, conversational experiences while older cohorts value curated, trust-centric interactions. This divergence compels platforms to design flexible experiences that can be personalized without fragmenting brand consistency. Meanwhile, regulatory attention on data handling and consumer protection is intensifying, which calls for proactive compliance and a culture of accountability.
Finally, business model innovation is accelerating as platforms experiment with hybrid monetization approaches and partnerships that extend the value proposition beyond the app. Taken together, these transformative shifts require leaders to embrace agile governance, invest in cross-disciplinary talent, and prioritize long-term brand health over short-term growth metrics in order to remain competitive and resilient.
Assessing the indirect operational and user composition effects of tariff adjustments on device costs, supplier economics, and platform operating margins in the dating sector
The cumulative impact of United States tariff policy changes in 2025 will ripple through the online personals ecosystem in indirect but meaningful ways, primarily by influencing the cost structure of devices, hardware-dependent services, and certain cloud infrastructure components. Since many users access dating platforms through smartphones and tablets, any sustained increase in device prices can alter consumer upgrade cycles and device distribution across demographic segments, thereby affecting the composition of platform audiences and engagement patterns.
In addition, tariffs that affect peripheral hardware and data center equipment could modestly elevate operating expenses for service providers that maintain on-premises infrastructure or procure specialized communication hardware. Advertising and marketing ecosystems may also feel secondary pressure if tariffs shift the economics of supply chains for consumer electronics, leading brands to reallocate budgets or adjust campaign cadences. Cross-border partnerships that rely on physical components or hardware-based verification tools may need to reprice services or rework supplier arrangements to preserve margins.
Importantly, platforms that rely heavily on mobile-first user acquisition should prioritize scenario planning, diversify supplier relationships, and explore optimization of ad spend and cross-platform engagement strategies. By taking these adaptive steps, companies can mitigate downside impacts while preserving product quality and ensuring uninterrupted service delivery across diverse user cohorts.
Detailed segmentation insights that integrate platform preferences, matching paradigms, generational behaviors, and monetization models to drive tailored product and commercial strategies
Effective segmentation is foundational to product strategy, and a nuanced approach reveals distinct behavioral and revenue implications across platform types, matching technologies, age cohorts, and payment structures. When considering the platform axis, mobile app experiences typically emphasize immediacy, push-driven engagement, and location-aware features, whereas website offerings often support more deliberate browsing and longer-form profile interactions; optimizing for each channel requires tailored UX patterns and retention tactics.
On the matching technology front, AI-based approaches that incorporate behavioral analytics and machine learning enable dynamic personalization, adaptive ranking, and latent interest discovery, which can increase relevance and reduce friction. By contrast, traditional models rooted in keyword matching and profile attribute comparison favor transparency and predictability, which some user segments may prefer. Therefore, hybrid implementations that blend explainable traditional matches with machine-learned suggestions often deliver the best balance between discoverability and user trust.
Age group segmentation highlights differing priorities: younger cohorts often seek exploratory, socially integrated features, while older cohorts prioritize authenticity, safety, and intent clarity. Payment model distinctions are equally consequential; freemium models lower acquisition friction but place a premium on conversion mechanics, whereas subscription models-whether billed monthly or annually-prioritize sustained value delivery and premium feature depth. Together, these segmentation lenses inform a differentiated product, marketing, and monetization playbook that aligns experiences with user intent and lifetime value considerations.
How regional user behavior, regulatory regimes, and cultural nuance create differentiated product, compliance, and partnership imperatives across global markets
Regional dynamics shape both user expectations and regulatory requirements, demanding geographically informed strategies for product design, risk management, and partnership development. In the Americas, digital dating ecosystems exhibit high mobile penetration and a strong appetite for innovation in discovery and social integrations, alongside a competitive environment where differentiation often hinges on feature novelty and branding. Regulatory landscapes vary by jurisdiction, so localized privacy and consumer protection measures are necessary to sustain trust.
In Europe, Middle East & Africa, cultural diversity and regulatory complexity require granular localization of content, moderation practices, and data handling protocols. GDPR-style frameworks and regional consumer protections influence feature rollouts and consent mechanisms, while linguistic and cultural nuance drives the need for region-specific support and community standards. Strategic partnerships with local operators and payment providers can accelerate market acceptance and reduce compliance friction.
The Asia-Pacific region features a spectrum of user behaviors, from app-first, highly social engagement models in urban centers to more conservative interaction patterns in other markets. Strong mobile ecosystems and diverse payment preferences necessitate flexible onboarding flows and integrated local payment options. Across regions, companies should prioritize modular localization, regional compliance roadmaps, and partnerships that unlock distribution and trust in culturally complex environments.
Competitive positioning and capability-building strategies that emphasize safety, personalization, and partnership-driven acceleration for differentiated growth trajectories
Competitive dynamics are driven by a mix of legacy players, technology-first entrants, and niche vertical specialists that each bring different strengths to user acquisition, retention, and monetization. Established platforms often benefit from brand recognition, mature trust frameworks, and deep behavioral datasets that enable personalization at scale. Newer entrants, meanwhile, can move rapidly to adopt cutting-edge techniques such as reinforcement learning for matching or decentralized identity tools for privacy-preserving onboarding.
Niche and vertical platforms capitalize on specialization, addressing underserved preferences and community needs with tailored moderation and value propositions that mainstream services may find difficult to replicate. Partnerships with ecosystem players-such as content providers, authentication vendors, and safety technology firms-can accelerate capability deployment and reduce time to market. Across the competitive set, differentiation increasingly rests on governance practices, demonstrable safety measures, and the ability to interpret behavioral signals into meaningful improvements in user experience.
Consequently, companies should evaluate both organic product investments and strategic alliances as pathways to sustain relevance, balancing proprietary development with targeted integrations that extend functional breadth without diluting core brand values.
Practical, prioritized initiatives that combine governance, supplier diversification, hybrid personalization, and localized monetization to secure resilience and growth
Industry leaders should adopt a pragmatic, prioritized approach that balances immediate operational resilience with medium-term innovation. First, strengthen governance and transparency around algorithmic decision-making and data handling to preempt regulatory friction and build long-term user trust. Clear documentation of model behavior, consent practices, and redress mechanisms will improve stakeholder confidence and reduce compliance risk. Second, diversify supplier and infrastructure relationships to mitigate exposure to geopolitical or tariff-driven supply chain shifts, ensuring continuity of device-dependent services and critical hardware provisioning.
Third, invest in hybrid matching strategies that combine explainable rule-based logic with AI-driven personalization to serve a broader set of user preferences while maintaining fairness and interpretability. Fourth, tailor monetization frameworks to user intent by refining freemium conversion funnels and enhancing subscription value with exclusive, high-impact features that favor annual commitments. Finally, prioritize regional localization through modular product architectures and trusted local partnerships to accelerate market adaptation while preserving global governance standards.
By sequencing these actions and embedding measurable KPIs, leaders can safeguard core operations, unlock differentiated product value, and sustain user trust in an increasingly complex regulatory and competitive environment.
A rigorous multi-method research approach combining practitioner interviews, behavioral analysis, regulatory review, and reproducible segmentation frameworks to ensure actionable findings
The research methodology is grounded in a multi-method approach that combines qualitative inquiry, quantitative analysis, and comparative benchmarking to ensure robust, actionable conclusions. Primary interviews with industry practitioners, product leaders, and data scientists provided context on operational priorities and product trade-offs, while behavioral analysis of anonymized usage patterns informed insights about engagement dynamics and feature productivity. Secondary research drew from regulatory filings, public policy statements, and technical literature to validate governance and compliance considerations.
Analytical frameworks included segmentation analysis across platform type, matching technology, age cohorts, and payment model to isolate drivers of engagement and monetization. Regional assessments were informed by policy reviews and cultural signal analysis to produce locally relevant recommendations. Throughout, emphasis was placed on transparency of assumptions and reproducibility of analytical steps, with sensitivity checks applied to qualitative findings to reduce bias. This layered method ensures that insights are both empirically grounded and practically oriented for strategic decision-making.
Concluding imperatives that link trust-centric product design, resilient operations, and regional nuance to long-term competitive advantage in dating services
In conclusion, the future of online personals rests on the ability of platforms to harmonize technological capability with ethical stewardship and localized market understanding. Organizations that invest in explainable personalization, robust governance, and flexible monetization will be better positioned to meet diverse user needs while navigating regulatory complexity. Moreover, scenario planning for external shocks, including supply chain or policy shifts, will enhance operational resilience and protect user experience continuity.
Strategic success will require cross-functional collaboration, disciplined experimentation, and a commitment to measurable outcomes. By aligning product roadmaps with trust-building initiatives and regional go-to-market strategies, leaders can preserve brand equity while unlocking new avenues for engagement and revenue. Ultimately, a focus on sustainable user value, rather than short-term growth levers alone, will deliver the most durable competitive advantage and support healthier, safer digital communities over time.
Please Note: PDF & Excel + Online Access - 1 Year
A strategic orientation to the evolving digital dating ecosystem emphasizing trust, product differentiation, and governance for sustainable user engagement
The online personals and dating services landscape has evolved from simple profile listings to complex ecosystems driven by technology, social norms, and shifting consumer expectations. Contemporary platforms mediate human connection at scale, blending design, trust, and data-driven discovery to meet users’ relational goals. As competition intensifies, business leaders must focus on product differentiation, user experience, and operational resilience while responding to regulatory and societal shifts that influence platform governance and monetization strategies.
Emerging user behaviors, including a higher demand for authenticity, safety features, and nuanced matching pathways, are reshaping core product requirements. In parallel, the rise of privacy-conscious regulation and heightened scrutiny of algorithmic decision-making demand robust governance frameworks. Consequently, organizations should balance the drive for engagement with transparent policies that foster long-term trust. Looking ahead, success will hinge on integrating human-centered design with scalable technology infrastructure and clear ethical guardrails, enabling platforms to deliver meaningful connections while mitigating reputational and legal risks.
Taken together, these dynamics require cross-functional alignment across product, legal, data science, and marketing teams to translate strategic intent into measurable improvements in user satisfaction and retention. Continuous learning, rapid experimentation, and disciplined measurement will be essential for sustaining relevance in an increasingly crowded digital social marketplace.
How converging technologies, evolving user expectations, and heightened regulatory scrutiny are redefining competitive advantage and product strategy in dating services
The landscape of online personals is undergoing transformative shifts as next-generation technologies converge with new expectations around privacy, inclusivity, and value exchange. Platform evolution is no longer limited to interface refinements; it now includes the adoption of sophisticated matching techniques, richer content formats, and orchestration of multi-channel user journeys that blend synchronous and asynchronous interactions. Consequently, product roadmaps must incorporate data ethics and explainability alongside performance improvements.
User demographics and behaviors are also shifting, with younger cohorts gravitating toward mobile-first, conversational experiences while older cohorts value curated, trust-centric interactions. This divergence compels platforms to design flexible experiences that can be personalized without fragmenting brand consistency. Meanwhile, regulatory attention on data handling and consumer protection is intensifying, which calls for proactive compliance and a culture of accountability.
Finally, business model innovation is accelerating as platforms experiment with hybrid monetization approaches and partnerships that extend the value proposition beyond the app. Taken together, these transformative shifts require leaders to embrace agile governance, invest in cross-disciplinary talent, and prioritize long-term brand health over short-term growth metrics in order to remain competitive and resilient.
Assessing the indirect operational and user composition effects of tariff adjustments on device costs, supplier economics, and platform operating margins in the dating sector
The cumulative impact of United States tariff policy changes in 2025 will ripple through the online personals ecosystem in indirect but meaningful ways, primarily by influencing the cost structure of devices, hardware-dependent services, and certain cloud infrastructure components. Since many users access dating platforms through smartphones and tablets, any sustained increase in device prices can alter consumer upgrade cycles and device distribution across demographic segments, thereby affecting the composition of platform audiences and engagement patterns.
In addition, tariffs that affect peripheral hardware and data center equipment could modestly elevate operating expenses for service providers that maintain on-premises infrastructure or procure specialized communication hardware. Advertising and marketing ecosystems may also feel secondary pressure if tariffs shift the economics of supply chains for consumer electronics, leading brands to reallocate budgets or adjust campaign cadences. Cross-border partnerships that rely on physical components or hardware-based verification tools may need to reprice services or rework supplier arrangements to preserve margins.
Importantly, platforms that rely heavily on mobile-first user acquisition should prioritize scenario planning, diversify supplier relationships, and explore optimization of ad spend and cross-platform engagement strategies. By taking these adaptive steps, companies can mitigate downside impacts while preserving product quality and ensuring uninterrupted service delivery across diverse user cohorts.
Detailed segmentation insights that integrate platform preferences, matching paradigms, generational behaviors, and monetization models to drive tailored product and commercial strategies
Effective segmentation is foundational to product strategy, and a nuanced approach reveals distinct behavioral and revenue implications across platform types, matching technologies, age cohorts, and payment structures. When considering the platform axis, mobile app experiences typically emphasize immediacy, push-driven engagement, and location-aware features, whereas website offerings often support more deliberate browsing and longer-form profile interactions; optimizing for each channel requires tailored UX patterns and retention tactics.
On the matching technology front, AI-based approaches that incorporate behavioral analytics and machine learning enable dynamic personalization, adaptive ranking, and latent interest discovery, which can increase relevance and reduce friction. By contrast, traditional models rooted in keyword matching and profile attribute comparison favor transparency and predictability, which some user segments may prefer. Therefore, hybrid implementations that blend explainable traditional matches with machine-learned suggestions often deliver the best balance between discoverability and user trust.
Age group segmentation highlights differing priorities: younger cohorts often seek exploratory, socially integrated features, while older cohorts prioritize authenticity, safety, and intent clarity. Payment model distinctions are equally consequential; freemium models lower acquisition friction but place a premium on conversion mechanics, whereas subscription models-whether billed monthly or annually-prioritize sustained value delivery and premium feature depth. Together, these segmentation lenses inform a differentiated product, marketing, and monetization playbook that aligns experiences with user intent and lifetime value considerations.
How regional user behavior, regulatory regimes, and cultural nuance create differentiated product, compliance, and partnership imperatives across global markets
Regional dynamics shape both user expectations and regulatory requirements, demanding geographically informed strategies for product design, risk management, and partnership development. In the Americas, digital dating ecosystems exhibit high mobile penetration and a strong appetite for innovation in discovery and social integrations, alongside a competitive environment where differentiation often hinges on feature novelty and branding. Regulatory landscapes vary by jurisdiction, so localized privacy and consumer protection measures are necessary to sustain trust.
In Europe, Middle East & Africa, cultural diversity and regulatory complexity require granular localization of content, moderation practices, and data handling protocols. GDPR-style frameworks and regional consumer protections influence feature rollouts and consent mechanisms, while linguistic and cultural nuance drives the need for region-specific support and community standards. Strategic partnerships with local operators and payment providers can accelerate market acceptance and reduce compliance friction.
The Asia-Pacific region features a spectrum of user behaviors, from app-first, highly social engagement models in urban centers to more conservative interaction patterns in other markets. Strong mobile ecosystems and diverse payment preferences necessitate flexible onboarding flows and integrated local payment options. Across regions, companies should prioritize modular localization, regional compliance roadmaps, and partnerships that unlock distribution and trust in culturally complex environments.
Competitive positioning and capability-building strategies that emphasize safety, personalization, and partnership-driven acceleration for differentiated growth trajectories
Competitive dynamics are driven by a mix of legacy players, technology-first entrants, and niche vertical specialists that each bring different strengths to user acquisition, retention, and monetization. Established platforms often benefit from brand recognition, mature trust frameworks, and deep behavioral datasets that enable personalization at scale. Newer entrants, meanwhile, can move rapidly to adopt cutting-edge techniques such as reinforcement learning for matching or decentralized identity tools for privacy-preserving onboarding.
Niche and vertical platforms capitalize on specialization, addressing underserved preferences and community needs with tailored moderation and value propositions that mainstream services may find difficult to replicate. Partnerships with ecosystem players-such as content providers, authentication vendors, and safety technology firms-can accelerate capability deployment and reduce time to market. Across the competitive set, differentiation increasingly rests on governance practices, demonstrable safety measures, and the ability to interpret behavioral signals into meaningful improvements in user experience.
Consequently, companies should evaluate both organic product investments and strategic alliances as pathways to sustain relevance, balancing proprietary development with targeted integrations that extend functional breadth without diluting core brand values.
Practical, prioritized initiatives that combine governance, supplier diversification, hybrid personalization, and localized monetization to secure resilience and growth
Industry leaders should adopt a pragmatic, prioritized approach that balances immediate operational resilience with medium-term innovation. First, strengthen governance and transparency around algorithmic decision-making and data handling to preempt regulatory friction and build long-term user trust. Clear documentation of model behavior, consent practices, and redress mechanisms will improve stakeholder confidence and reduce compliance risk. Second, diversify supplier and infrastructure relationships to mitigate exposure to geopolitical or tariff-driven supply chain shifts, ensuring continuity of device-dependent services and critical hardware provisioning.
Third, invest in hybrid matching strategies that combine explainable rule-based logic with AI-driven personalization to serve a broader set of user preferences while maintaining fairness and interpretability. Fourth, tailor monetization frameworks to user intent by refining freemium conversion funnels and enhancing subscription value with exclusive, high-impact features that favor annual commitments. Finally, prioritize regional localization through modular product architectures and trusted local partnerships to accelerate market adaptation while preserving global governance standards.
By sequencing these actions and embedding measurable KPIs, leaders can safeguard core operations, unlock differentiated product value, and sustain user trust in an increasingly complex regulatory and competitive environment.
A rigorous multi-method research approach combining practitioner interviews, behavioral analysis, regulatory review, and reproducible segmentation frameworks to ensure actionable findings
The research methodology is grounded in a multi-method approach that combines qualitative inquiry, quantitative analysis, and comparative benchmarking to ensure robust, actionable conclusions. Primary interviews with industry practitioners, product leaders, and data scientists provided context on operational priorities and product trade-offs, while behavioral analysis of anonymized usage patterns informed insights about engagement dynamics and feature productivity. Secondary research drew from regulatory filings, public policy statements, and technical literature to validate governance and compliance considerations.
Analytical frameworks included segmentation analysis across platform type, matching technology, age cohorts, and payment model to isolate drivers of engagement and monetization. Regional assessments were informed by policy reviews and cultural signal analysis to produce locally relevant recommendations. Throughout, emphasis was placed on transparency of assumptions and reproducibility of analytical steps, with sensitivity checks applied to qualitative findings to reduce bias. This layered method ensures that insights are both empirically grounded and practically oriented for strategic decision-making.
Concluding imperatives that link trust-centric product design, resilient operations, and regional nuance to long-term competitive advantage in dating services
In conclusion, the future of online personals rests on the ability of platforms to harmonize technological capability with ethical stewardship and localized market understanding. Organizations that invest in explainable personalization, robust governance, and flexible monetization will be better positioned to meet diverse user needs while navigating regulatory complexity. Moreover, scenario planning for external shocks, including supply chain or policy shifts, will enhance operational resilience and protect user experience continuity.
Strategic success will require cross-functional collaboration, disciplined experimentation, and a commitment to measurable outcomes. By aligning product roadmaps with trust-building initiatives and regional go-to-market strategies, leaders can preserve brand equity while unlocking new avenues for engagement and revenue. Ultimately, a focus on sustainable user value, rather than short-term growth levers alone, will deliver the most durable competitive advantage and support healthier, safer digital communities over time.
Please Note: PDF & Excel + Online Access - 1 Year
Table of Contents
182 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Segmentation & Coverage
- 1.3. Years Considered for the Study
- 1.4. Currency
- 1.5. Language
- 1.6. Stakeholders
- 2. Research Methodology
- 3. Executive Summary
- 4. Market Overview
- 5. Market Insights
- 5.1. Integration of AI-driven compatibility matching with real-time user feedback loops to improve match accuracy
- 5.2. Expansion of niche dating platforms catering to underrepresented communities with tailored algorithmic matching
- 5.3. Adoption of interactive live streaming features to facilitate authentic user engagement before meeting offline
- 5.4. Implementation of robust identity verification processes using biometric and government ID checks for safer interactions
- 5.5. Surge in gamified dating experiences incorporating quizzes, challenges and rewards to boost user retention
- 5.6. Emergence of mental health support integrations providing in-app counseling and wellbeing resources for daters
- 5.7. Rise of privacy-centric dating models enabling disappearing messages and encrypted profile interactions
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Online Personals Dating Services Market, by Service
- 8.1. Matchmaking
- 8.2. Social Dating
- 8.3. Adult Dating
- 9. Online Personals Dating Services Market, by Matching Technology
- 9.1. AI Based
- 9.1.1. Behavioral Analytics
- 9.1.2. Machine Learning
- 9.2. Traditional
- 9.2.1. Keyword Matching
- 9.2.2. Profile Matching
- 10. Online Personals Dating Services Market, by Payment Model
- 10.1. Freemium
- 10.2. Subscription
- 10.2.1. Annual
- 10.2.2. Monthly
- 11. Online Personals Dating Services Market, by Age Group
- 11.1. 18-45
- 11.2. More Than 45
- 11.3. Less Than 18
- 12. Online Personals Dating Services Market, by Platform
- 12.1. Mobile App
- 12.2. Website
- 13. Online Personals Dating Services Market, by Region
- 13.1. Americas
- 13.1.1. North America
- 13.1.2. Latin America
- 13.2. Europe, Middle East & Africa
- 13.2.1. Europe
- 13.2.2. Middle East
- 13.2.3. Africa
- 13.3. Asia-Pacific
- 14. Online Personals Dating Services Market, by Group
- 14.1. ASEAN
- 14.2. GCC
- 14.3. European Union
- 14.4. BRICS
- 14.5. G7
- 14.6. NATO
- 15. Online Personals Dating Services Market, by Country
- 15.1. United States
- 15.2. Canada
- 15.3. Mexico
- 15.4. Brazil
- 15.5. United Kingdom
- 15.6. Germany
- 15.7. France
- 15.8. Russia
- 15.9. Italy
- 15.10. Spain
- 15.11. China
- 15.12. India
- 15.13. Japan
- 15.14. Australia
- 15.15. South Korea
- 16. Competitive Landscape
- 16.1. Market Share Analysis, 2024
- 16.2. FPNV Positioning Matrix, 2024
- 16.3. Competitive Analysis
- 16.3.1. Bumble Inc
- 16.3.2. Caffè Nero
- 16.3.3. Coffee Meets Bagel Inc
- 16.3.4. Cupid Media Pty Ltd
- 16.3.5. Facebook Dating
- 16.3.6. Feeld Ltd
- 16.3.7. Gleeden
- 16.3.8. Grindr LLC
- 16.3.9. Happn SAS
- 16.3.10. HER
- 16.3.11. Hily Corp
- 16.3.12. Lex
- 16.3.13. Love Group Global Ltd
- 16.3.14. Match Group Inc
- 16.3.15. Once Dating AG
- 16.3.16. Paktor Pte Ltd
- 16.3.17. ParshipMeet Holding GmbH
- 16.3.18. People Interactive Pvt Ltd
- 16.3.19. Raya App Inc
- 16.3.20. Scruff
- 16.3.21. Spark Networks SE
- 16.3.22. Taimi Inc
- 16.3.23. The Ashley Madison Agency
- 16.3.24. The Hello Group
- 16.3.25. TrulyMadly Matchmakers Pvt Ltd
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