Customer Data Platform Market Report 2034

Customer Data Platform Market Report 2034

Segments - by Component (Software, Services), by Deployment Mode (On-Premises, Cloud), by Organization Size (Large Enterprises, Small and Medium Enterprises), by Application (Personalized Recommendations, Predictive Analytics, Marketing Data Segmentation, Customer Retention and Engagement, Security Management, Others), by End-User (Retail and E-commerce, BFSI, Healthcare, IT and Telecom, Media and Entertainment, Travel and Hospitality, Others)

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Author : Raksha Sharma
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Editor : Shruti Bhat

Last Updated : Jun, 2026 | Report ID :ICT-SE-3050 | 4.1 Rating | 14 Reviews | 258 Pages | Format : Docx PDF

Report Description

This report is updated with the latest market data and insights as of June 2026. Base year: 2025  |  Forecast period: 2026-2034


Customer Data Platform Market Outlook

According to our latest research, the global Customer Data Platform (CDP) market size reached USD 4.4 billion in 2025, driven by the accelerating digital transformation initiatives across industries and the growing enterprise emphasis on first-party data strategies and personalized customer experiences. The market is projected to expand at a robust CAGR of 23.2% between 2026 and 2034, reaching an estimated USD 29.6 billion by 2034. This impressive growth is fueled by the deprecation of third-party cookies, the rapid maturation of generative AI capabilities, evolving regulatory landscapes, and the rising adoption of advanced analytics for real-time customer engagement across every major industry vertical.

Global Customer Data Platform Market Size Forecast 2025-2034, USD Billion

One of the primary growth drivers for the Customer Data Platform market is the rapidly increasing volume of customer data generated through digital touchpoints, including social media, e-commerce platforms, mobile applications, and IoT-connected devices. Organizations are recognizing the critical importance of consolidating this fragmented data into unified, actionable customer profiles to drive more targeted and effective marketing campaigns. As businesses strive to deliver seamless omnichannel experiences, the demand for robust CDP solutions that can ingest, normalize, and activate data in real time continues to surge. The growing ecosystem of customer data infrastructure technologies is also expanding the architectural options available to enterprises, enabling more flexible and scalable approaches to first-party data management that complement and feed into modern CDP deployments.

Another significant factor propelling growth is the intensifying focus on data privacy and regulatory compliance. With GDPR in Europe, CCPA and multiple state-level frameworks in the United States, India's Digital Personal Data Protection Act, and similar regulations emerging globally, organizations are under mounting pressure to manage customer data responsibly and transparently. CDPs offer advanced consent management, data governance, and auditability features that enable enterprises to maintain compliance while still leveraging customer data for personalization and analytics. This regulatory environment is compelling businesses, especially in highly regulated sectors such as BFSI and healthcare, to adopt CDP solutions as a foundational component of their enterprise data strategy in 2025 and beyond.

The integration of generative AI and machine learning capabilities into CDP platforms is revolutionizing how organizations extract value from customer data. Advanced CDPs are now equipped with predictive analytics, automated segmentation, real-time recommendation engines, and AI-generated content personalization, enabling marketers to anticipate customer needs and deliver hyper-personalized experiences at scale. As enterprises increasingly shift toward data-driven decision-making, the ability to unify, analyze, and activate customer data in real time is becoming a key competitive differentiator. This technological evolution is expanding CDP application across new verticals and use cases, broadening the addressable market considerably. The rise of cloud-delivered CDP solutions is further democratizing access to these capabilities for organizations of all sizes.

Regionally, North America continues to dominate the CDP market, accounting for approximately 38.2% of global revenue in 2025, followed by Europe at 26.4% and Asia Pacific at 22.1%. The high adoption rate in North America is attributed to the presence of leading technology providers, early digital adoption, and advanced marketing practices. Asia Pacific is witnessing the fastest growth, driven by rapid digitalization, burgeoning e-commerce, and increasing investments in customer engagement technologies across China, India, Japan, and Southeast Asia. Europe remains a significant market, propelled by strict data privacy regulations and a mature digital ecosystem. Latin America and the Middle East and Africa are also showing promising growth, as organizations in these regions accelerate their digital transformation efforts and prioritize customer experience investments.

In the evolving landscape of customer data management, the role of a Data Management Platform (DMP) remains relevant alongside CDPs. DMPs serve as a centralized hub for collecting, organizing, and activating large volumes of audience data from various sources. By integrating with CDPs, DMPs enhance the ability of organizations to create comprehensive customer profiles, enabling more precise targeting and personalization. This synergy is crucial for businesses aiming to leverage data as a strategic asset, driving more informed decision-making and optimizing customer engagement efforts. As the demand for data-driven insights grows, the combined use of DMPs and CDPs is expected to provide a robust framework for managing complex data ecosystems through 2034.

Component Analysis

The Customer Data Platform market by component is broadly segmented into software and services, with software accounting for approximately 68.5% of global market revenue in 2025. The software component encompasses the core platforms that enable organizations to aggregate, unify, and activate customer data from disparate sources. The increasing complexity of customer journeys and the demand for seamless integration with existing marketing technology stacks are driving continuous innovation in CDP software. Vendors are focusing on developing modular, API-driven platforms that provide flexibility in deployment and scalability to accommodate growing data volumes. The integration of advanced functionalities such as real-time analytics, generative AI-driven segmentation, identity resolution, and cross-channel orchestration is elevating the value proposition of CDP software for enterprises seeking to enhance customer engagement and retention in 2025 and beyond.

Customer Data Platform Market Share by Component 2025

On the services front, accounting for approximately 31.5% of market revenue in 2025, the segment is witnessing substantial growth as organizations seek expert guidance for successful CDP implementation, customization, and ongoing management. Services include consulting, system integration, training, and support, which are critical for maximizing ROI from CDP investments. The rising complexity of data environments, coupled with the need for seamless integration with existing CRM, ERP, and marketing automation systems, is propelling demand for specialized professional services. Effective data integration strategies are increasingly central to these service engagements, as organizations require expert support to connect CDP platforms with diverse legacy systems and modern cloud-based data sources. Service providers are offering end-to-end solutions from initial needs assessment and platform selection through post-implementation optimization and managed services.

Customization and scalability remain paramount for both software and services segments. Enterprises, especially large organizations with complex data infrastructures, require CDP solutions that can be tailored to their unique business needs and scale with their growth. This has led to the emergence of vertical-specific CDP offerings and industry-focused service packages, particularly in sectors such as retail, BFSI, and healthcare. The ability to provide industry-specific data models, compliance features, and integration capabilities is becoming a key differentiator for both software vendors and service providers in the competitive CDP landscape.

The growing trend toward cloud-based delivery models is reshaping the component landscape, as organizations increasingly prefer SaaS-based CDP solutions for their flexibility, scalability, and cost-effectiveness. Cloud-native CDP platforms facilitate rapid deployment, seamless updates, and easier integration with other cloud-based marketing and analytics tools. Service providers are adapting their offerings to support cloud migration and hybrid deployment scenarios, ensuring clients can transition smoothly while maintaining data security and compliance. As the market matures, many vendors are bundling managed services with their core platforms to deliver holistic customer data solutions, further blurring the boundary between the software and services segments.

Report Scope

Attributes Details
Report Title Customer Data Platform Market Research Report 2034
By Component Software, Services
By Deployment Mode On-Premises, Cloud
By Organization Size Large Enterprises, Small and Medium Enterprises
By Application Personalized Recommendations, Predictive Analytics, Marketing Data Segmentation, Customer Retention and Engagement, Security Management, Others
By End-User Retail and E-commerce, BFSI, Healthcare, IT and Telecom, Media and Entertainment, Travel and Hospitality, Others
Regions Covered North America, Europe, APAC, Latin America, MEA
Base Year 2025
Historic Data 2019-2024
Forecast Period 2026-2034
Number of Pages 258
Number of Tables & Figures 290
Customization Available Yes, the report can be customized as per your need.

Deployment Mode Analysis

The deployment mode segment of the Customer Data Platform market is divided into on-premises and cloud-based solutions, each catering to different organizational needs and preferences. In 2025, cloud-based deployment holds the majority share, driven by the widespread adoption of SaaS architectures and the need for agility in scaling customer data operations. Cloud-based CDPs offer significant advantages in terms of rapid implementation, reduced infrastructure costs, and the ability to access and activate real-time data from anywhere. This model is particularly attractive for small and medium enterprises and businesses with distributed teams, as it eliminates the need for extensive IT resources and enables seamless integration with other cloud-based marketing and analytics tools.

Customer data orchestration is emerging as a critical capability for organizations seeking to optimize their customer engagement strategies. This process involves the seamless integration and coordination of customer data across various platforms and touchpoints, ensuring that the right data is available at the right time to inform marketing and sales decisions. By orchestrating data effectively, businesses can create a unified view of the customer journey, enabling more personalized and timely interactions. This approach not only enhances customer satisfaction but also drives higher conversion rates and loyalty. As the complexity of customer interactions continues to grow through 2034, the ability to orchestrate data efficiently will become a key differentiator for organizations looking to stay competitive in the digital age.

On-premises CDP deployment, while representing a smaller share of the market, remains critical for organizations with stringent data security, privacy, and compliance requirements. Sectors such as BFSI, healthcare, and government often prefer on-premises solutions to maintain full control over sensitive customer data and to comply with regional data residency laws. These deployments involve higher upfront investments in hardware and IT infrastructure but offer greater customization and integration capabilities tailored to specific organizational needs. The on-premises segment continues to evolve, with vendors offering hybrid deployment models that combine the benefits of both cloud and on-premises architectures, allowing organizations to optimize their data management strategies across diverse regulatory environments.

Hybrid deployment models are gaining significant traction as organizations seek to balance the flexibility of cloud with the control of on-premises solutions. These models enable businesses to store and process sensitive data locally while leveraging the scalability and advanced analytics capabilities of the cloud for less sensitive workloads. This approach is particularly relevant for multinational organizations operating in regions with diverse regulatory environments and varying levels of cloud maturity. Vendors are responding by developing flexible CDP architectures that support seamless data synchronization, governance, and orchestration across hybrid environments, ensuring consistent customer experiences regardless of where data resides.

The choice of deployment mode is increasingly influenced by evolving regulatory requirements and the need for data sovereignty. As data privacy laws become more stringent across regions through the forecast period, organizations are carefully evaluating their deployment strategies to ensure compliance while maintaining operational efficiency. The growing emphasis on zero-trust security models and end-to-end encryption is also shaping deployment decisions, with vendors investing heavily in advanced security features for both cloud and on-premises CDP solutions. The deployment landscape is expected to become increasingly dynamic through 2034, with organizations adopting tailored mixes of deployment models to address their unique business and regulatory needs.

Organization Size Analysis

The Customer Data Platform market serves organizations of all sizes, with large enterprises accounting for the largest revenue share in 2025. Large enterprises possess vast and complex customer data ecosystems, often spanning multiple brands, channels, and geographies. These organizations require sophisticated CDP solutions capable of ingesting, processing, and activating massive volumes of data in real time. The ability to unify customer profiles across touchpoints, drive advanced segmentation, and deliver personalized experiences at scale is a key driver for CDP adoption among large enterprises. Additionally, these organizations are more likely to invest in premium features such as generative AI-powered analytics, advanced identity resolution, robust security, and integrations with enterprise-grade marketing, CRM, and data warehouse systems.

Small and medium enterprises (SMEs) are emerging as a significant growth segment in the CDP market, driven by the democratization of advanced marketing technologies and the availability of cost-effective, cloud-based CDP solutions. SMEs are increasingly recognizing the value of first-party customer data in driving business growth, enhancing customer engagement, and competing with larger players. Cloud-based CDPs, with their lower upfront costs and simplified deployment, are particularly well-suited for SMEs with limited IT resources. Vendors are tailoring their offerings to address the unique needs of SMEs, providing modular solutions, intuitive self-service interfaces, and flexible pricing models that meaningfully lower the barriers to entry in 2025.

The growing emphasis on customer-centric business strategies is prompting organizations of all sizes to invest in CDP solutions. For large enterprises, the focus is on achieving a single unified view of the customer, optimizing cross-channel marketing, and driving operational efficiencies through automation and AI. For SMEs, the primary objectives are improving marketing ROI, increasing customer retention, and gaining actionable insights from available first-party data sets. As a result, the CDP market is witnessing the emergence of industry-specific solutions and verticalized offerings that cater to the distinct requirements of different organization sizes and sectors, further expanding the total addressable market.

The scalability and flexibility of modern CDP platforms are enabling organizations to start with foundational capabilities and expand their deployments as their data needs grow. This is particularly beneficial for SMEs, which can begin with basic data unification and segmentation and gradually adopt more advanced features such as predictive analytics and real-time personalization. For large enterprises, the ability to integrate CDPs with existing data warehouses, analytics platforms, and marketing automation systems is a key consideration, driving strong demand for open, API-driven architectures. As the market matures through 2034, both large enterprises and SMEs are expected to increasingly demand sophisticated, scalable, and easy-to-use CDP solutions tailored to their specific contexts.

Application Analysis

The application landscape of the Customer Data Platform market is diverse, reflecting the wide-ranging use cases for unified customer data across industries. Personalized recommendations represent one of the most prominent applications, as organizations strive to deliver tailored content, offers, and experiences that drive customer engagement and loyalty. CDPs enable real-time analysis of customer behavior, preferences, and purchase history, empowering marketers to deliver highly relevant recommendations across digital channels. This capability is particularly valuable in sectors such as retail, e-commerce, and media, where personalized experiences are key to differentiation and revenue growth in 2025.

Predictive analytics is another critical application area, leveraging AI and machine learning algorithms to forecast customer behavior, identify high-value segments, and optimize marketing strategies. CDPs equipped with predictive analytics capabilities enable organizations to anticipate customer needs, proactively address churn risks, and maximize lifetime value. By integrating predictive models with real-time data streams, organizations can automate decision-making processes and deliver timely, context-aware interventions that enhance customer satisfaction and retention. This application is gaining traction across industries from BFSI and healthcare to travel and hospitality, as businesses move decisively from reactive to proactive customer engagement models.

Marketing data segmentation is a core function of CDPs, allowing organizations to create granular customer segments based on a wide range of attributes, behaviors, and preferences. Advanced segmentation capabilities enable marketers to target specific audience groups with tailored messages, offers, and campaigns, improving conversion rates and marketing ROI. CDPs facilitate dynamic, AI-assisted segmentation that updates and refines audience groups in real time as new behavioral data becomes available. This agility is critical in fast-paced industries where customer preferences and competitive conditions can shift rapidly across the 2026-2034 forecast period.

Customer retention and engagement applications are also driving CDP adoption, as organizations recognize the compounding value of nurturing existing customers and reducing churn. CDPs provide a unified view of customer interactions across channels, enabling organizations to identify at-risk customers, personalize retention offers, and orchestrate targeted engagement campaigns. Security management is another growing application, as organizations prioritize the protection of customer data and compliance with evolving privacy regulations. CDPs offer robust security features including encryption, granular access controls, and real-time consent management, ensuring that customer data is managed responsibly, transparently, and in full compliance with applicable laws across all regions of operation.

End-User Analysis

The Customer Data Platform market caters to a diverse range of end-users, with retail and e-commerce accounting for the largest share in 2025. The retail sector's reliance on personalized marketing, omnichannel engagement, and data-driven decision-making makes it a prime adopter of CDP solutions. Retailers leverage CDPs to unify customer data from online and offline sources, optimize inventory management, and deliver personalized offers that drive conversion and loyalty. E-commerce platforms benefit especially from real-time data activation and advanced segmentation capabilities, enabling them to respond quickly to changing customer preferences and competitive market conditions.

The BFSI sector is another significant end-user, driven by the need for personalized customer engagement, risk management, and regulatory compliance. Banks, insurers, and financial service providers use CDPs to consolidate customer data from multiple channels, enhance customer profiling, and deliver targeted financial products and services. The ability to manage consent, ensure data privacy, and comply with GDPR, CCPA, and sector-specific regulations is a key driver for CDP adoption in this sector. Healthcare organizations are embracing CDPs to improve patient engagement, personalize care pathways, and streamline administrative communications. The integration of CDPs with electronic health records and patient management systems is enabling healthcare providers to deliver more coordinated and effective care interactions.

IT and telecom companies are leveraging CDPs to optimize customer support, reduce churn, and enhance the delivery of value-added services. The ability to integrate customer data from multiple touchpoints, including call centers, online portals, and mobile apps, is critical for delivering seamless and consistent experiences. Media and entertainment companies are using CDPs to drive audience engagement, personalize content recommendations, and optimize programmatic advertising strategies. The travel and hospitality sector is adopting CDPs to enhance guest experiences, improve loyalty program effectiveness, and streamline operations across booking, check-in, and post-stay engagement touchpoints.

Other end-users, including education, automotive, and government, are increasingly recognizing the value of CDP solutions for improving service delivery, personalizing interactions, and enhancing operational efficiency. The versatility of CDPs in addressing diverse business challenges is expanding their adoption across new verticals through 2034. Vendors are responding by developing industry-specific solutions and integration capabilities that address the unique requirements of different end-users, further fueling market growth and deepening competitive differentiation across the global landscape.

Opportunities & Threats

The Customer Data Platform market presents significant opportunities for growth, particularly as organizations across industries prioritize customer-centric strategies and accelerate digital transformation in 2025 and beyond. The integration of generative AI and advanced machine learning into CDP platforms is unlocking new possibilities for predictive analytics, real-time personalization, and automated next-best-action decisioning. As businesses seek to differentiate through superior customer experiences, the demand for advanced CDP solutions that can unify, analyze, and activate customer data at scale is expected to reach new heights. The emergence of vertical-specific CDP offerings and the expansion into underserved markets such as Latin America and the Middle East and Africa represent additional compelling avenues for growth over the forecast period.

Another major opportunity lies in the accelerating shift away from third-party data, which is compelling organizations to build robust first-party data strategies centered on CDP platforms. CDPs equipped with advanced consent management, identity resolution, and data governance features are well-positioned to become foundational enterprise infrastructure. The growing adoption of cloud-based and hybrid deployment models is also expanding the addressable market, enabling organizations of all sizes to access CDP capabilities. Partnerships and integrations with complementary technologies such as CRM, marketing automation, data warehouses, and analytics platforms create new opportunities for value creation and ecosystem expansion that will define competitive positioning through 2034.

Despite these opportunities, the CDP market faces several restraining factors. Organizations often struggle with the complexity of integrating CDPs into existing IT environments, particularly when dealing with legacy systems and siloed data sources that require significant engineering investment. The absence of universal industry standards creates confusion during vendor evaluation and can slow adoption cycles. Concerns around data privacy, security, and compliance require vendors to continuously invest in robust security architectures and transparent data practices. The intensifying consolidation among large platform vendors such as Salesforce, Adobe, and Microsoft, which are embedding CDP capabilities within broader cloud suites, creates significant competitive pressure for standalone CDP specialists. Overcoming these challenges will be critical for sustaining the strong growth trajectory of the CDP market through the forecast period.

Regional Outlook

North America remains the largest regional market for Customer Data Platforms, accounting for approximately USD 1.68 billion in market revenue in 2025 and representing about 38.2% of the global total. This dominance is attributed to the early adoption of advanced marketing technologies, the concentration of major CDP vendors, and a highly mature digital ecosystem. Organizations in the United States and Canada are at the forefront of leveraging CDPs to drive first-party data strategies, personalized customer engagement, and regulatory compliance. The region's strong emphasis on data privacy, coupled with a highly competitive business landscape, is fueling continuous innovation and sustained investment in CDP solutions through the 2026-2034 forecast period.

Customer Data Platform Market Regional Share 2025

Europe is the second-largest market, with revenue of approximately USD 1.16 billion in 2025, driven by stringent GDPR compliance requirements and a mature digital infrastructure. Organizations across the UK, Germany, France, and the Nordics are increasingly adopting CDPs to ensure compliance, enhance customer trust, and deliver personalized experiences. The region is projected to grow at a CAGR of approximately 22.5% from 2026 to 2034, as businesses across retail, BFSI, and healthcare accelerate digital transformation initiatives. The continued evolution of EU data regulations and the emphasis on ethical data management are actively shaping CDP development priorities and adoption patterns across European markets.

Asia Pacific is the fastest-growing region, with market revenue of approximately USD 973 million in 2025 and a projected CAGR of 27.1% through 2034, reflecting the region's massive digital growth opportunity. Rapid digitalization, the proliferation of mobile-first commerce, and the explosive expansion of e-commerce are driving CDP adoption in China, India, Japan, South Korea, and Southeast Asia. Organizations in the region are investing heavily in customer engagement technologies to capture the expanding consumer base and compete in dynamic markets. Latin America and the Middle East and Africa collectively account for approximately 13.3% of global revenue in 2025, with both regions expected to deliver steady double-digit growth through 2034 as digital adoption, e-commerce penetration, and customer experience investment accelerate.

Competitor Outlook

The competitive landscape of the Customer Data Platform market is characterized by intense innovation, strategic acquisitions, and ongoing consolidation among key players. The market comprises a mix of established technology giants, specialized CDP vendors, and well-funded emerging challengers, all competing to capture share in the rapidly expanding market. Leading vendors are differentiating through advanced generative AI and machine learning capabilities, robust real-time data integration frameworks, identity resolution at scale, and vertical-specific solutions tailored to the unique needs of targeted industries. The ability to deliver seamless integration with existing marketing, CRM, data warehouse, and analytics platforms is a critical success factor as organizations seek to maximize returns on their technology investments.

Strategic acquisitions and partnerships continue to reshape competitive dynamics in 2025. Major technology companies are acquiring specialized CDP vendors to enhance their customer engagement portfolios and expand across new verticals and geographies. CDP vendors are simultaneously forging alliances with complementary technology providers in CRM, marketing automation, and data management to deliver end-to-end customer data solutions. This ecosystem approach is enabling vendors to offer integrated value propositions that address the full spectrum of customer data management, analytics, and activation needs, creating meaningful switching costs and deepening customer relationships.

Innovation remains central to competitive strategy, with vendors investing substantially in R&D to enhance platform capabilities, improve real-time processing scalability, and address emerging customer requirements around generative AI personalization. Vendors are also focusing on improving user experience through intuitive no-code and low-code interfaces, self-service segmentation tools, and advanced visualization capabilities that empower marketing teams without requiring deep technical expertise. Security and compliance remain top priorities, with leading players offering robust encryption, granular access controls, and comprehensive consent management features to address evolving global regulatory requirements.

Some of the major companies operating in the Customer Data Platform market include Salesforce, Oracle, Adobe, SAP, Microsoft, Segment (Twilio), Arm Treasure Data, BlueConic, Tealium, Acquia, Bloomreach, mParticle, ActionIQ, Zeta Global, Optimove, Simon Data, Lytics, Insider, Sitecore, and SAS Institute. Salesforce has established itself as a market leader with its comprehensive Data Cloud platform, offering deep integration with its CRM and marketing automation solutions. Oracle and Adobe leverage their extensive enterprise software portfolios to deliver robust CDP capabilities, while SAP focuses on seamless integration with its ERP and customer experience products. Segment, part of Twilio, is recognized for its developer-friendly architecture and strong data pipeline capabilities. Arm Treasure Data is widely adopted in automotive, retail, and manufacturing, while BlueConic and Tealium are recognized for real-time data activation and strong privacy-by-design frameworks. As competition intensifies through the forecast period, the ability to deliver differentiated, scalable, secure, and AI-native CDP solutions will determine long-term success in this dynamic market.

Key Players

  • Salesforce
  • Oracle
  • Adobe
  • SAP
  • Microsoft
  • SAS Institute
  • Acquia
  • BlueConic
  • Tealium
  • Segment (Twilio Segment)
  • Bloomreach
  • Zeta Global
  • mParticle
  • ActionIQ
  • Arm Treasure Data
  • Optimove
  • Sitecore
  • Simon Data
  • Lytics
  • Insider

Segments

The Customer Data Platform market has been segmented on the basis of

Component

  • Software
  • Services

Deployment Mode

  • On-Premises
  • Cloud

Organization Size

  • Large Enterprises
  • Small and Medium Enterprises

Application

  • Personalized Recommendations
  • Predictive Analytics
  • Marketing Data Segmentation
  • Customer Retention and Engagement
  • Security Management
  • Others

End-User

  • Retail and E-commerce
  • BFSI
  • Healthcare
  • IT and Telecom
  • Media and Entertainment
  • Travel and Hospitality
  • Others

Frequently Asked Questions

CDPs support a wide range of high-value applications across industries. Personalized recommendations are among the most widely deployed use cases, enabling retailers, media companies, and e-commerce platforms to deliver contextually relevant content, products, and offers in real time. Predictive analytics powered by AI allows organizations in BFSI, healthcare, and telecom to anticipate customer behavior, identify churn risks, and proactively optimize engagement strategies. Marketing data segmentation enables precise audience targeting and campaign optimization, improving ROI across paid and owned channels. Customer retention and engagement applications leverage unified behavioral data to identify at-risk customers and orchestrate personalized re-engagement journeys. Security management applications use CDP-consolidated data to detect anomalous patterns and support fraud prevention efforts, particularly in BFSI and healthcare. Emerging applications include AI-generated content personalization, real-time next-best-action decisioning, and identity resolution across cookieless environments.

The global CDP market features a diverse competitive landscape comprising large technology platform providers and specialized CDP vendors. Major players include Salesforce, Oracle, Adobe, SAP, and Microsoft, which leverage broad enterprise software ecosystems to embed CDP capabilities within comprehensive customer experience platforms. Specialized CDP vendors with strong market presence include Segment (Twilio), Arm Treasure Data, Tealium, BlueConic, ActionIQ, mParticle, Bloomreach, Optimove, Zeta Global, and Acquia. Emerging challengers such as Simon Data, Lytics, Insider, and Sitecore are gaining traction in specific verticals or with mid-market customers. The competitive landscape is characterized by continuous product innovation, strategic acquisitions, and partnership ecosystem development, with AI-driven personalization capabilities increasingly serving as a key differentiator.

Despite strong growth prospects, the CDP market faces several meaningful challenges. Data integration complexity remains a significant barrier, as organizations often struggle to connect CDPs with a diverse mix of legacy systems, third-party tools, and siloed data sources, requiring substantial IT resources and expertise. The lack of universal industry standards and consistent vendor definitions of CDP capabilities creates confusion during vendor evaluation and selection, potentially slowing adoption. Skills gaps in data engineering and marketing analytics can limit the ability of organizations to fully exploit CDP investments. Escalating cybersecurity threats and the growing sophistication of data breaches place continuous pressure on vendors to enhance security architectures. Finally, as the CDP market matures and consolidates, smaller specialized vendors face competitive pressure from large platform players such as Salesforce, Adobe, and Microsoft, which are embedding CDP capabilities within broader customer experience suites.

North America remains the dominant regional market for CDPs in 2025, accounting for approximately 38.2% of global revenue, driven by the early adoption of advanced marketing technologies, a dense ecosystem of leading vendors, and strong enterprise spending on digital transformation. Europe is the second-largest market, with a share of roughly 26.4%, propelled by stringent GDPR compliance requirements and a mature digital infrastructure across the UK, Germany, France, and the Nordics. Asia Pacific is the fastest-growing region, with a projected CAGR of approximately 27.1% through 2034, fueled by the rapid expansion of digital commerce, mobile-first consumer behaviors, and increasing enterprise investment in customer engagement technologies across China, India, Japan, and Southeast Asia. Latin America and the Middle East and Africa are emerging markets with significant growth potential as digital adoption accelerates and local enterprises prioritize customer experience investments.

CDPs play a critical role in helping organizations navigate the increasingly complex global data privacy landscape. Modern CDP platforms incorporate built-in consent management capabilities that allow organizations to capture, store, and honor customer consent preferences across all channels and touchpoints in real time. They provide comprehensive data governance frameworks, including audit trails, data lineage tracking, and access controls, which are essential for demonstrating compliance with regulations such as GDPR, CCPA, India's DPDP Act, and other emerging frameworks. CDPs also support data minimization and purpose limitation principles by enabling organizations to define and enforce policies on how customer data is collected, processed, and retained. The ability to respond to data subject access requests and deletion requests efficiently is another key compliance feature increasingly expected from enterprise CDP platforms in 2025.

CDPs are primarily deployed in two modes: cloud-based and on-premises, with hybrid models gaining increasing traction as of 2025. Cloud-based deployment holds the majority market share, offering benefits such as rapid implementation, lower upfront infrastructure costs, automatic updates, elastic scalability, and seamless integration with other cloud-native marketing and analytics tools. This model is particularly attractive for SMEs and digitally mature enterprises seeking agility. On-premises deployment remains preferred by organizations in highly regulated sectors such as BFSI, healthcare, and government, where data sovereignty, security, and compliance with regional data residency laws are paramount. Hybrid deployment models are increasingly popular among multinational organizations, allowing them to store sensitive data locally while leveraging cloud infrastructure for scalable analytics and campaign activation workloads.

Retail and e-commerce represent the largest end-user segment for CDPs in 2025, leveraging unified customer profiles to power personalized recommendations, loyalty programs, and omnichannel marketing campaigns. The BFSI sector is the second-largest adopter, using CDPs for personalized financial product recommendations, fraud detection, and compliance with data privacy regulations. Healthcare organizations are rapidly increasing CDP adoption to improve patient engagement, personalize care communications, and coordinate data across clinical and administrative systems. IT and telecom companies use CDPs to reduce churn, optimize upsell opportunities, and improve customer support experiences. Media and entertainment, travel and hospitality, and automotive sectors are also significant adopters, each leveraging CDP capabilities to deepen customer relationships and maximize lifetime value.

Several converging factors are driving strong growth in the CDP market through 2034. First, the deprecation of third-party cookies and growing restrictions on cross-site tracking are pushing organizations to invest heavily in first-party data collection and activation capabilities, which CDPs are uniquely positioned to provide. Second, the rapid advancement of generative AI and machine learning is enabling CDPs to deliver real-time predictive analytics, automated segmentation, and hyper-personalized recommendations at unprecedented scale. Third, tightening data privacy regulations across regions, including GDPR in Europe, CCPA and state-level laws in the US, and new frameworks in Asia Pacific, are compelling enterprises to adopt centralized consent management and data governance solutions embedded within CDPs. Fourth, the explosive growth of digital commerce, mobile engagement, and IoT-connected touchpoints is generating vast volumes of customer data that organizations must unify and activate to stay competitive.

According to our latest research, the global CDP market reached USD 4.4 billion in 2025. The market is projected to expand at a compound annual growth rate (CAGR) of 23.2% from 2026 through 2034, reaching an estimated USD 29.6 billion by 2034. This robust growth reflects accelerating enterprise investment in first-party data infrastructure, AI-driven personalization, and omnichannel customer engagement technologies. North America leads in absolute market size, while Asia Pacific is the fastest-growing region, driven by rapid digitalization and surging e-commerce activity across China, India, and Southeast Asia.

A Customer Data Platform (CDP) is a unified software system that consolidates customer data from multiple sources, including websites, mobile apps, CRM systems, social media, and offline channels, into a single, persistent, and actionable customer profile. CDPs are important because they enable organizations to break down data silos, achieve a 360-degree view of each customer, and activate that data in real time across marketing, sales, and service touchpoints. In 2025, with the deprecation of third-party cookies well underway and privacy regulations tightening globally, CDPs have become foundational infrastructure for businesses seeking to deliver personalized experiences while maintaining regulatory compliance. Unlike traditional data warehouses or data management platforms, CDPs are designed to be marketer-accessible, allowing non-technical teams to create segments, trigger campaigns, and measure outcomes without heavy IT involvement.

Table Of Content

Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Customer Data Platform Market Overview
   4.1 Introduction
      4.1.1 Market Taxonomy
      4.1.2 Market Definition
      4.1.3 Macro-Economic Factors Impacting the Market Growth
   4.2 Customer Data Platform Market Dynamics
      4.2.1 Market Drivers
      4.2.2 Market Restraints
      4.2.3 Market Opportunity
   4.3 Customer Data Platform Market - Supply Chain Analysis
      4.3.1 List of Key Suppliers
      4.3.2 List of Key Distributors
      4.3.3 List of Key Consumers
   4.4 Key Forces Shaping the Customer Data Platform Market
      4.4.1 Bargaining Power of Suppliers
      4.4.2 Bargaining Power of Buyers
      4.4.3 Threat of Substitution
      4.4.4 Threat of New Entrants
      4.4.5 Competitive Rivalry
   4.5 Global Customer Data Platform Market Size & Forecast, 2023-2032
      4.5.1 Customer Data Platform Market Size and Y-o-Y Growth
      4.5.2 Customer Data Platform Market Absolute $ Opportunity

Chapter 5 Global Customer Data Platform Market Analysis and Forecast By Component
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities By Component
      5.1.2 Basis Point Share (BPS) Analysis By Component
      5.1.3 Absolute $ Opportunity Assessment By Component
   5.2 Customer Data Platform Market Size Forecast By Component
      5.2.1 Software
      5.2.2 Services
   5.3 Market Attractiveness Analysis By Component

Chapter 6 Global Customer Data Platform Market Analysis and Forecast By Deployment Mode
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities By Deployment Mode
      6.1.2 Basis Point Share (BPS) Analysis By Deployment Mode
      6.1.3 Absolute $ Opportunity Assessment By Deployment Mode
   6.2 Customer Data Platform Market Size Forecast By Deployment Mode
      6.2.1 On-Premises
      6.2.2 Cloud
   6.3 Market Attractiveness Analysis By Deployment Mode

Chapter 7 Global Customer Data Platform Market Analysis and Forecast By Organization Size
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities By Organization Size
      7.1.2 Basis Point Share (BPS) Analysis By Organization Size
      7.1.3 Absolute $ Opportunity Assessment By Organization Size
   7.2 Customer Data Platform Market Size Forecast By Organization Size
      7.2.1 Large Enterprises
      7.2.2 Small and Medium Enterprises
   7.3 Market Attractiveness Analysis By Organization Size

Chapter 8 Global Customer Data Platform Market Analysis and Forecast By Application
   8.1 Introduction
      8.1.1 Key Market Trends & Growth Opportunities By Application
      8.1.2 Basis Point Share (BPS) Analysis By Application
      8.1.3 Absolute $ Opportunity Assessment By Application
   8.2 Customer Data Platform Market Size Forecast By Application
      8.2.1 Personalized Recommendations
      8.2.2 Predictive Analytics
      8.2.3 Marketing Data Segmentation
      8.2.4 Customer Retention and Engagement
      8.2.5 Security Management
      8.2.6 Others
   8.3 Market Attractiveness Analysis By Application

Chapter 9 Global Customer Data Platform Market Analysis and Forecast By End-User
   9.1 Introduction
      9.1.1 Key Market Trends & Growth Opportunities By End-User
      9.1.2 Basis Point Share (BPS) Analysis By End-User
      9.1.3 Absolute $ Opportunity Assessment By End-User
   9.2 Customer Data Platform Market Size Forecast By End-User
      9.2.1 Retail and E-commerce
      9.2.2 BFSI
      9.2.3 Healthcare
      9.2.4 IT and Telecom
      9.2.5 Media and Entertainment
      9.2.6 Travel and Hospitality
      9.2.7 Others
   9.3 Market Attractiveness Analysis By End-User

Chapter 10 Global Customer Data Platform Market Analysis and Forecast by Region
   10.1 Introduction
      10.1.1 Key Market Trends & Growth Opportunities By Region
      10.1.2 Basis Point Share (BPS) Analysis By Region
      10.1.3 Absolute $ Opportunity Assessment By Region
   10.2 Customer Data Platform Market Size Forecast By Region
      10.2.1 North America
      10.2.2 Europe
      10.2.3 Asia Pacific
      10.2.4 Latin America
      10.2.5 Middle East & Africa (MEA)
   10.3 Market Attractiveness Analysis By Region

Chapter 11 Coronavirus Disease (COVID-19) Impact 
   11.1 Introduction 
   11.2 Current & Future Impact Analysis 
   11.3 Economic Impact Analysis 
   11.4 Government Policies 
   11.5 Investment Scenario

Chapter 12 North America Customer Data Platform Analysis and Forecast
   12.1 Introduction
   12.2 North America Customer Data Platform Market Size Forecast by Country
      12.2.1 U.S.
      12.2.2 Canada
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 North America Customer Data Platform Market Size Forecast By Component
      12.6.1 Software
      12.6.2 Services
   12.7 Basis Point Share (BPS) Analysis By Component 
   12.8 Absolute $ Opportunity Assessment By Component 
   12.9 Market Attractiveness Analysis By Component
   12.10 North America Customer Data Platform Market Size Forecast By Deployment Mode
      12.10.1 On-Premises
      12.10.2 Cloud
   12.11 Basis Point Share (BPS) Analysis By Deployment Mode 
   12.12 Absolute $ Opportunity Assessment By Deployment Mode 
   12.13 Market Attractiveness Analysis By Deployment Mode
   12.14 North America Customer Data Platform Market Size Forecast By Organization Size
      12.14.1 Large Enterprises
      12.14.2 Small and Medium Enterprises
   12.15 Basis Point Share (BPS) Analysis By Organization Size 
   12.16 Absolute $ Opportunity Assessment By Organization Size 
   12.17 Market Attractiveness Analysis By Organization Size
   12.18 North America Customer Data Platform Market Size Forecast By Application
      12.18.1 Personalized Recommendations
      12.18.2 Predictive Analytics
      12.18.3 Marketing Data Segmentation
      12.18.4 Customer Retention and Engagement
      12.18.5 Security Management
      12.18.6 Others
   12.19 Basis Point Share (BPS) Analysis By Application 
   12.20 Absolute $ Opportunity Assessment By Application 
   12.21 Market Attractiveness Analysis By Application
   12.22 North America Customer Data Platform Market Size Forecast By End-User
      12.22.1 Retail and E-commerce
      12.22.2 BFSI
      12.22.3 Healthcare
      12.22.4 IT and Telecom
      12.22.5 Media and Entertainment
      12.22.6 Travel and Hospitality
      12.22.7 Others
   12.23 Basis Point Share (BPS) Analysis By End-User 
   12.24 Absolute $ Opportunity Assessment By End-User 
   12.25 Market Attractiveness Analysis By End-User

Chapter 13 Europe Customer Data Platform Analysis and Forecast
   13.1 Introduction
   13.2 Europe Customer Data Platform Market Size Forecast by Country
      13.2.1 Germany
      13.2.2 France
      13.2.3 Italy
      13.2.4 U.K.
      13.2.5 Spain
      13.2.6 Russia
      13.2.7 Rest of Europe
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Europe Customer Data Platform Market Size Forecast By Component
      13.6.1 Software
      13.6.2 Services
   13.7 Basis Point Share (BPS) Analysis By Component 
   13.8 Absolute $ Opportunity Assessment By Component 
   13.9 Market Attractiveness Analysis By Component
   13.10 Europe Customer Data Platform Market Size Forecast By Deployment Mode
      13.10.1 On-Premises
      13.10.2 Cloud
   13.11 Basis Point Share (BPS) Analysis By Deployment Mode 
   13.12 Absolute $ Opportunity Assessment By Deployment Mode 
   13.13 Market Attractiveness Analysis By Deployment Mode
   13.14 Europe Customer Data Platform Market Size Forecast By Organization Size
      13.14.1 Large Enterprises
      13.14.2 Small and Medium Enterprises
   13.15 Basis Point Share (BPS) Analysis By Organization Size 
   13.16 Absolute $ Opportunity Assessment By Organization Size 
   13.17 Market Attractiveness Analysis By Organization Size
   13.18 Europe Customer Data Platform Market Size Forecast By Application
      13.18.1 Personalized Recommendations
      13.18.2 Predictive Analytics
      13.18.3 Marketing Data Segmentation
      13.18.4 Customer Retention and Engagement
      13.18.5 Security Management
      13.18.6 Others
   13.19 Basis Point Share (BPS) Analysis By Application 
   13.20 Absolute $ Opportunity Assessment By Application 
   13.21 Market Attractiveness Analysis By Application
   13.22 Europe Customer Data Platform Market Size Forecast By End-User
      13.22.1 Retail and E-commerce
      13.22.2 BFSI
      13.22.3 Healthcare
      13.22.4 IT and Telecom
      13.22.5 Media and Entertainment
      13.22.6 Travel and Hospitality
      13.22.7 Others
   13.23 Basis Point Share (BPS) Analysis By End-User 
   13.24 Absolute $ Opportunity Assessment By End-User 
   13.25 Market Attractiveness Analysis By End-User

Chapter 14 Asia Pacific Customer Data Platform Analysis and Forecast
   14.1 Introduction
   14.2 Asia Pacific Customer Data Platform Market Size Forecast by Country
      14.2.1 China
      14.2.2 Japan
      14.2.3 South Korea
      14.2.4 India
      14.2.5 Australia
      14.2.6 South East Asia (SEA)
      14.2.7 Rest of Asia Pacific (APAC)
   14.3 Basis Point Share (BPS) Analysis by Country
   14.4 Absolute $ Opportunity Assessment by Country
   14.5 Market Attractiveness Analysis by Country
   14.6 Asia Pacific Customer Data Platform Market Size Forecast By Component
      14.6.1 Software
      14.6.2 Services
   14.7 Basis Point Share (BPS) Analysis By Component 
   14.8 Absolute $ Opportunity Assessment By Component 
   14.9 Market Attractiveness Analysis By Component
   14.10 Asia Pacific Customer Data Platform Market Size Forecast By Deployment Mode
      14.10.1 On-Premises
      14.10.2 Cloud
   14.11 Basis Point Share (BPS) Analysis By Deployment Mode 
   14.12 Absolute $ Opportunity Assessment By Deployment Mode 
   14.13 Market Attractiveness Analysis By Deployment Mode
   14.14 Asia Pacific Customer Data Platform Market Size Forecast By Organization Size
      14.14.1 Large Enterprises
      14.14.2 Small and Medium Enterprises
   14.15 Basis Point Share (BPS) Analysis By Organization Size 
   14.16 Absolute $ Opportunity Assessment By Organization Size 
   14.17 Market Attractiveness Analysis By Organization Size
   14.18 Asia Pacific Customer Data Platform Market Size Forecast By Application
      14.18.1 Personalized Recommendations
      14.18.2 Predictive Analytics
      14.18.3 Marketing Data Segmentation
      14.18.4 Customer Retention and Engagement
      14.18.5 Security Management
      14.18.6 Others
   14.19 Basis Point Share (BPS) Analysis By Application 
   14.20 Absolute $ Opportunity Assessment By Application 
   14.21 Market Attractiveness Analysis By Application
   14.22 Asia Pacific Customer Data Platform Market Size Forecast By End-User
      14.22.1 Retail and E-commerce
      14.22.2 BFSI
      14.22.3 Healthcare
      14.22.4 IT and Telecom
      14.22.5 Media and Entertainment
      14.22.6 Travel and Hospitality
      14.22.7 Others
   14.23 Basis Point Share (BPS) Analysis By End-User 
   14.24 Absolute $ Opportunity Assessment By End-User 
   14.25 Market Attractiveness Analysis By End-User

Chapter 15 Latin America Customer Data Platform Analysis and Forecast
   15.1 Introduction
   15.2 Latin America Customer Data Platform Market Size Forecast by Country
      15.2.1 Brazil
      15.2.2 Mexico
      15.2.3 Rest of Latin America (LATAM)
   15.3 Basis Point Share (BPS) Analysis by Country
   15.4 Absolute $ Opportunity Assessment by Country
   15.5 Market Attractiveness Analysis by Country
   15.6 Latin America Customer Data Platform Market Size Forecast By Component
      15.6.1 Software
      15.6.2 Services
   15.7 Basis Point Share (BPS) Analysis By Component 
   15.8 Absolute $ Opportunity Assessment By Component 
   15.9 Market Attractiveness Analysis By Component
   15.10 Latin America Customer Data Platform Market Size Forecast By Deployment Mode
      15.10.1 On-Premises
      15.10.2 Cloud
   15.11 Basis Point Share (BPS) Analysis By Deployment Mode 
   15.12 Absolute $ Opportunity Assessment By Deployment Mode 
   15.13 Market Attractiveness Analysis By Deployment Mode
   15.14 Latin America Customer Data Platform Market Size Forecast By Organization Size
      15.14.1 Large Enterprises
      15.14.2 Small and Medium Enterprises
   15.15 Basis Point Share (BPS) Analysis By Organization Size 
   15.16 Absolute $ Opportunity Assessment By Organization Size 
   15.17 Market Attractiveness Analysis By Organization Size
   15.18 Latin America Customer Data Platform Market Size Forecast By Application
      15.18.1 Personalized Recommendations
      15.18.2 Predictive Analytics
      15.18.3 Marketing Data Segmentation
      15.18.4 Customer Retention and Engagement
      15.18.5 Security Management
      15.18.6 Others
   15.19 Basis Point Share (BPS) Analysis By Application 
   15.20 Absolute $ Opportunity Assessment By Application 
   15.21 Market Attractiveness Analysis By Application
   15.22 Latin America Customer Data Platform Market Size Forecast By End-User
      15.22.1 Retail and E-commerce
      15.22.2 BFSI
      15.22.3 Healthcare
      15.22.4 IT and Telecom
      15.22.5 Media and Entertainment
      15.22.6 Travel and Hospitality
      15.22.7 Others
   15.23 Basis Point Share (BPS) Analysis By End-User 
   15.24 Absolute $ Opportunity Assessment By End-User 
   15.25 Market Attractiveness Analysis By End-User

Chapter 16 Middle East & Africa (MEA) Customer Data Platform Analysis and Forecast
   16.1 Introduction
   16.2 Middle East & Africa (MEA) Customer Data Platform Market Size Forecast by Country
      16.2.1 Saudi Arabia
      16.2.2 South Africa
      16.2.3 UAE
      16.2.4 Rest of Middle East & Africa (MEA)
   16.3 Basis Point Share (BPS) Analysis by Country
   16.4 Absolute $ Opportunity Assessment by Country
   16.5 Market Attractiveness Analysis by Country
   16.6 Middle East & Africa (MEA) Customer Data Platform Market Size Forecast By Component
      16.6.1 Software
      16.6.2 Services
   16.7 Basis Point Share (BPS) Analysis By Component 
   16.8 Absolute $ Opportunity Assessment By Component 
   16.9 Market Attractiveness Analysis By Component
   16.10 Middle East & Africa (MEA) Customer Data Platform Market Size Forecast By Deployment Mode
      16.10.1 On-Premises
      16.10.2 Cloud
   16.11 Basis Point Share (BPS) Analysis By Deployment Mode 
   16.12 Absolute $ Opportunity Assessment By Deployment Mode 
   16.13 Market Attractiveness Analysis By Deployment Mode
   16.14 Middle East & Africa (MEA) Customer Data Platform Market Size Forecast By Organization Size
      16.14.1 Large Enterprises
      16.14.2 Small and Medium Enterprises
   16.15 Basis Point Share (BPS) Analysis By Organization Size 
   16.16 Absolute $ Opportunity Assessment By Organization Size 
   16.17 Market Attractiveness Analysis By Organization Size
   16.18 Middle East & Africa (MEA) Customer Data Platform Market Size Forecast By Application
      16.18.1 Personalized Recommendations
      16.18.2 Predictive Analytics
      16.18.3 Marketing Data Segmentation
      16.18.4 Customer Retention and Engagement
      16.18.5 Security Management
      16.18.6 Others
   16.19 Basis Point Share (BPS) Analysis By Application 
   16.20 Absolute $ Opportunity Assessment By Application 
   16.21 Market Attractiveness Analysis By Application
   16.22 Middle East & Africa (MEA) Customer Data Platform Market Size Forecast By End-User
      16.22.1 Retail and E-commerce
      16.22.2 BFSI
      16.22.3 Healthcare
      16.22.4 IT and Telecom
      16.22.5 Media and Entertainment
      16.22.6 Travel and Hospitality
      16.22.7 Others
   16.23 Basis Point Share (BPS) Analysis By End-User 
   16.24 Absolute $ Opportunity Assessment By End-User 
   16.25 Market Attractiveness Analysis By End-User

Chapter 17 Competition Landscape 
   17.1 Customer Data Platform Market: Competitive Dashboard
   17.2 Global Customer Data Platform Market: Market Share Analysis, 2023
   17.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      17.3.1 Salesforce
      17.3.2 Oracle
      17.3.3 Adobe
      17.3.4 SAP
      17.3.5 Microsoft
      17.3.6 SAS Institute
      17.3.7 Acquia
      17.3.8 BlueConic
      17.3.9 Tealium
      17.3.10 Segment (Twilio Segment)
      17.3.11 Bloomreach
      17.3.12 Zeta Global
      17.3.13 mParticle
      17.3.14 ActionIQ
      17.3.15 Arm Treasure Data
      17.3.16 Optimove
      17.3.17 Sitecore
      17.3.18 Simon Data
      17.3.19 Lytics
      17.3.20 Insider

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