Tencent Marketing Cloud

China Customer Data Platform (CDP) Market Tracker Research Report 2025H2

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Sept 22, 2026
IDC China Customer Data Platform (CDP) Market Tracker Research Report 2025H2

Key Findings

01
Market scale rebounds and rises
In H2 2025, China's CDP market reached USD 134 million, up 18.47% year-on-year. Growth was modest in the first half but accelerated in the second, with digitalization and AI jointly driving the industry's long-term upward trajectory.
02
Product value iteration complete
CDP has evolved from a basic data governance tool into an AI-driven intelligent customer operations platform, with procurement decisions now increasingly guided by business-growth objectives.
03
AI empowers the industry in tiers
Generative AI enhances product usage value, and agentic AI drives CDP's transformation from an insight system into an autonomous business-action hub.
04
Deployment structure shows clear divergence
On-premise deployment remains the bedrock for large government and enterprise customers, while the SaaS model, leveraging lightweight deployment and AI adaptability, is becoming the market's core growth engine.
05
Ecosystems give leaders their edge
Tencent, leveraging the WeChat ecosystem and AI agents, holds the top position with a 21.5% share; competition among vendors is shifting toward AI + end-to-end business operations.
06
Growth certainty over the next five years remains high
China's CDP market is projected to grow at a compound annual growth rate (CAGR) of 18.7% from 2026 to 2030, with SaaS, AI-native, industry solutions, and intelligent scenarios leading the way.
01 · Market Overview

China’s CDP Market Overview in 2023–2025

In the second half of 2025, China's CDP market reached USD 134 million, a year-over-year increase of 18.5%. Looking at market performance in recent years, the growth rate of China's CDP market has shown periodic volatility, but the overall long-term growth trend remains evident. With the continuous empowerment and deep penetration of AI technology, China's CDP market will keep undergoing iterative development. The core market dynamics are as follows:

2023 H1–2025 H2, China Customer Data Platform (CDP) Market Size ($ USD M)
$0$20$40$60$80$100$120$140$1600%5%10%15%20%25%USD Mil2023H12023H22024H12024H22025H12025H220.0%22.2%11.5%14.7%12.9%18.5%2023H12023H22024H12024H22025H12025H2
Market SizeGrowth Rate
Source: IDC’s PRC Semiannual CDP Tracker, 2025H2
  • Initial growth driver — digital transformation as the foundation: China's CDP market first gained momentum from enterprise-wide digital transformation, especially marketing digitalization and the unification of customer data across the end-to-end customer journey.
  • Industry transformation catalyst — commercial implementation of generative AI and agents: Driven by the commercial deployment of AI, generative AI, and agents, enterprises’ requirements for real-time decision-making and intelligent operations continue to grow.
  • Product positioning evolution — from a data tool to an intelligent operations platform: CDP has evolved beyond its role as "basic data system". It is becoming an "intelligent customer operations platform" used to support AI-driven automated marketing, customer insights, personalized recommendations, intelligent customer service, predictive analytics, and other capabilities.
  • Business value upgrade — a shift in enterprise procurement logic: This makes CDP's budget logic clearer and amplifies its business value, transforming it from a data governance tool to a key platform for business growth.
02 · Drivers

Drivers of China’s CDP Market Development

Enterprise digital transformation remains the foundational driver. AI and generative AI enhance CDP's business value, while agentic AI further propels CDP into the role of an intelligent customer action hub:

1
AI application/Agent implementation requires high-quality customer data, turning CDP into infrastructure
From the data perspective, China's CDP market growth was 12.9% in H1 2025 and rebounded to 18.5% in H2 2025, amid market recovery. The implementation of generative AI forces enterprises to prioritize high-quality customer data; CDP can aggregate fragmented data and unify user profiles to enable intelligent marketing operations. The proliferation of AI does not replace CDP; instead, it reinforces value as a data foundation layer, and makes CDP an essential support for intelligent implementation.
2
Generative AI enhances CDP's usage value, and drives its transformation from "data platform" to "intelligent operations platform"
Traditional CDP focuses on data integration, tagging, and marketing reach; after being integrated with generative AI, it can automate insight generation, segmentation, content creation, and journey optimization, and support natural language querying and campaign planning. According to IDC, CDP delivers high-quality data for AI to enable refined operations. Product positioning thus shifts from a data tool to a growth-driving vehicle, with cross-departmental procurement recognition continuously improving.
3
Agentic AI upgrades CDP from an "insight system" to an "action system"
Unlike traditional AI, agentic AI can autonomously complete end-to-end business execution, significantly driving CDP demand. The implementation of agents in marketing, customer service, and other businesses relies on CDP's identity, behavior, order, compliance, and real-time profile data. Subsequently, CDP will transform into the data foundation for AI agents, further broadening the scenarios of end-to-end customer operations.
4
Agentic AI drives customer operations automation and boosts enterprise investment willingness
Leveraging CDP's omnichannel customer data, AI agents can automatically identify high-value users, flag users at risk of churn, and implement end-to-end intelligent marketing and service scheduling. They build an intelligent action layer for customer experience, enable cross-system data and business task flows, and deliver tangible improvements to CDP ROI. This brings notable benefits to industries with high operational complexity, such as retail, finance, and automotive.
03 · Deployment Mode Comparison

Traditional Deployment for Revenue Volume, SaaS Deployment for Growth Elasticity

Based on the market structure from 2023 to 2025, traditional deployment still accounts for a substantial share of revenue. It shows distinct advantages in scenarios that require high average order value, high compliance, and complex integration. SaaS deployment delivers stronger incremental contribution, driven by the proliferation of AI marketing applications, enterprises' pursuit of cost reduction and efficiency gains, and increased digital procurement by mid-sized customers.

2023 H1–2025 H2, Comparison of Deployment Modes in China's CDP Software Market (OP VS. SaaS)
0%10%20%30%40%50%60%70%80%90%100%US$M$19$57$29$70$23$62$34$79$29$67$46$882023H12023H22024H12024H22025H12025H2
Growth Rate
0%5%10%15%20%25%30%35%40%30.1%34.8%18.2%19.5%24.7%33.7%16.9%17.7%9.2%12.7%8.6%11.8%2023H12023H22024H12024H22025H12025H2
On-premisePublic Cloud Services (SaaS)
Source: IDC’s PRC Semiannual CDP Tracker, 2025H2

Traditional deployment mode — stable growth backed by large enterprises and high-compliance industries

Traditional deployment remains a key foundation of China's CDP market, driven primarily by finance, automotive, the public sector, healthcare, and large-scale enterprise customers. These customers have high requirements for data security, permission management, private deployment, system integration, and audit trails, and tend to adopt on-premises or dedicated cloud deployment.

In 2025, the growth of traditional deployment was largely attributed to the expansion of the existing platform, data governance upgrades, group-level customer data integration, and compliance capability development. It is characterized by larger project values, longer delivery cycles, and higher levels of customization, but new customer expansion remains relatively cautious, with more steady growth.

SaaS deployment mode — growth boosted by lightweight procurement from mid-to-large enterprises and AI applications

The SaaS deployment mode is a key driver for CDP market growth in 2025, especially with robust demand in industries with high marketing agility requirements such as retail, e-commerce, consumer goods, culture and tourism, and local life services.

As capabilities such as AI audience segmentation, intelligent recommendation, content generation, automated marketing, and customer journey orchestration mature, SaaS-based CDP facilitates modular subscriptions and continuous repurchases. Their growth is characterized by a lower average order value, yet they offer broader market reach, faster product iteration, and higher revenue sustainability.

04 · Competitive Landscape Analysis

China’s CDP Market Competitive Landscape Analysis

In H2 2025, competition in China's CDP market has entered a stage of “AI-native capability reshaping the competitive landscape”.

Leveraging Magic AI, Customer AI, and the WeChat ecosystem, Tencent has secured a leading position of high market share and robust growth:

Tencent Marketing Cloud: Strengthening its leading edge with Magic AI and Customer AI

China CDP market top vendors: market share and year-over-year growth, H2 2025
Source: IDC’s PRC Semiannual CDP Tracker, 2025H2

Looking at the H2 2025 competitive landscape, Tencent is in a clearly leading position in China's CDP market, with a market share of approximately 21.5% and year-over-year growth of 36.7%, showing its competitive edge in both market scale and growth momentum.

Tencent Marketing Cloud's competitive edge does not merely come from single-point CDP product capabilities, but from the WeChat ecosystem, WeCom, advertising resources, public-private domain data connection capabilities, and its product matrix. Relying on the synergy of ecosystem entry points, data touchpoints, and marketing scenarios, Tencent is forming platform-level competitive moats and continuously enhancing its market influence among large-scale enterprise customers and private domain operations scenarios.

05 · Future Development Trends

Five-Year Development Trends for China’s CDP Market

IDC predicts that by 2030, China's CDP market size will reach USD 541 million, with a compound annual growth rate of 18.7%. The market will expand steadily, with cloud deployment and AI-native capabilities serving as its core drivers. Drawing on data and technology trends, the development of China's CDP market over the next five years can be summarized in the following four points:

2026-2030, China's CDP Market Size and Growth Forecast ($ USD M)
$0$100$200$300$400$500$6000%5%10%15%20%25%USD Mil$170$97$185$128$200$172$215$235$229$31216.5%16.9%18.7%21.0%20.3%20262027202820292030
On-premisePublic Cloud Services(PCS)YoY GR
Source: IDC’s PRC Semiannual CDP Tracker, 2025H2
  • Continued rapid growth and market expansion: The CDP market will maintain robust growth momentum across 2026–2030, with the overall market size nearly doubling and annual growth rate maintained between 16% and 21%. Enterprise demand for customer data governance, intelligent marketing, customer lifecycle management, and private domain operations continues to rise, driving the market's transition from early construction-led growth to business-value-driven growth, featuring parallel progress in market size expansion and tangible value realization.
  • AI-native capabilities as the core of market differentiation: AI technology is deeply integrated into CDP, driving the evolution from a traditional customer data platform to an "AI-native CDP". Enterprises not only use CDP for data integration and analysis, but also rely on AI agents for audience segmentation, customer tiering, content generation, and automated marketing decision-making. AI-native capabilities enhance the product's end-to-end business workflows, serving as a key variable driving the accelerated market growth in H2 2025 and rapid adoption by new customers.
  • Cloud deployments as a driver for incremental growth, leveraging distinct SaaS mode advantages: Public cloud SaaS deployment is growing rapidly, expected to account for over 50% of the overall market by 2030. SaaS deployment enables rapid time-to-market, low initial investment, flexible access to AI modules, and continuous iteration, effectively addressing diverse scenario needs of mid-to-large enterprises. Compared with traditional on-premises deployments, cloud-based CDP enables scalable delivery and accelerated rollout, serving as the primary driver of future incremental growth.
  • Industry-specific and intelligent scenarios reshaping the competitive landscape: Future competition is no longer just a comparison of data platform capabilities, but a comprehensive competition of AI capabilities, deployment flexibility, and implementation of industry-specific solutions. Industries such as retail, e-commerce, finance, automotive, and consumer goods will contribute significant increments. Vendors develop differentiated solutions by combining AI-native CDP with SaaS, industry-specific models, and intelligent marketing agents. This seamlessly bridges the gap from customer data to business growth, improving market share and customer stickiness.

IDC Recommendations for Technology Vendors

01
Refine industry positioning and develop AI-driven differentiated products
When focusing on industry verticals, CDP vendors should prioritize scenarios such as retail, finance, and pharmaceuticals, building AI capability modules adaptable to business processes, such as intelligent customer profiling, personalized recommendation models, and automated marketing strategies. They should leverage AI to enhance industry-specific solutions, improve operational efficiency and effectiveness, and achieve the transformation from a general-purpose CDP to an industry intelligent growth platform.
02
Strengthen AI-enabled data governance and privacy compliance
Based on AI-powered data cleansing, automatic tagging, anomaly detection, and metadata management, CDP vendors can improve data quality and structuring levels. While ensuring business intelligence, CDP vendors should comply with the Data Security Law of the People's Republic of China, the Personal Information Protection Law of the People's Republic of China, and other relevant compliance requirements.
03
Build an AI-native CDP and upgrade it to an intelligent operations engine
CDP vendors must shift their strategic focus from building "AI-bolted-on capabilities" to building an "AI-native architecture", uniformly designing customer data, tags, features, models, agents, and marketing workflows. By leveraging RAG, vector retrieval, multi-model orchestration, real-time decision-making, and marketing agents, CDP vendors can realize end-to-end automation, closing the loop from customer insight generation and content generation to strategy recommendation, campaign execution, and performance analysis.
04
Build an open agent ecosystem to drive platform synergy
CDP vendors should build an open ecosystem centered on data, model, agent, and scenario, supporting APIs, plugins, MCP, model access, and industry agent templates, and collaborate with CRM, marketing automation, customer service, e-commerce, BI, and cloud platforms. In the future, CDP will no longer merely function as a data integration platform. Instead, it will evolve into an ecosystem foundation for enterprise AI agents to access customer data, execute business tasks, and build up industry capabilities.

Source: IDC’s PRC Semiannual CDP Tracker, 2025H2

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