Treasure AI has been recognized as a Leader in both the 2026 IDC MarketScape for Worldwide AI-Enabled Customer Data Platforms (CDPs) for B2C and B2B users, underscoring the growing role of AI-native customer data platforms in enterprise marketing, sales, and customer experience strategies. The recognition reflects increasing industry demand for platforms that combine unified customer data with AI-driven decision-making and workflow automation.

As enterprises accelerate investments in artificial intelligence, customer data platforms (CDPs) are evolving beyond their traditional role as centralized data repositories. Increasingly, organizations expect these platforms to provide the trusted customer context needed to power AI agents, automate customer engagement, and coordinate decisions across marketing, sales, and service operations.

That shift is reflected in the 2026 IDC MarketScape evaluations for Worldwide AI-Enabled Customer Data Platforms, where Treasure AI was recognized as a Leader in both the B2C and B2B assessments. The dual recognition highlights growing market demand for AI-enabled platforms capable of supporting customer engagement across consumer and enterprise environments.

According to IDC, the evaluations assessed vendors on their ability to unify customer information, resolve fragmented identities, and activate AI-driven engagement using consolidated customer profiles. As organizations face increasingly complex customer journeys spanning multiple channels and devices, identity resolution and real-time orchestration have become strategic priorities for enterprise marketing teams.

At the center of Treasure AI's platform is the Treasure Data Intelligent Customer Data Platform (TD ICDP), which combines first-party, anonymous, and off-platform customer data into unified identity profiles. These profiles serve as the operational foundation for AI agents capable of supporting marketing campaigns, sales processes, customer service interactions, and broader customer lifecycle management.

Unlike earlier generations of CDPs that primarily focused on data collection and segmentation, AI-enabled customer data platforms increasingly function as orchestration engines. By combining customer intelligence with generative AI and automation, enterprises can deliver more personalized experiences while enabling AI systems to make context-aware decisions across multiple business functions.

IDC identified several platform capabilities within its evaluations. In the B2C assessment, the firm cited Treasure AI's hybrid deployment model, AI agent-driven workflow automation, shared customer model, and real-time contextual orchestration. For B2B use cases, IDC highlighted strengths in account-centric customer modeling, predictive scoring, and artificial intelligence capabilities that support complex enterprise buying journeys.

The recognition also reflects broader changes across enterprise marketing technology. Organizations are moving away from fragmented marketing stacks composed of disconnected applications and toward unified platforms that centralize customer data while enabling AI-driven workflows. This transition is accelerating as businesses seek greater efficiency, improved personalization, and stronger governance for customer information.

Treasure AI has continued expanding its platform throughout 2026. In April, the company introduced Treasure AI Studio, a conversational workspace that allows users to interact with customer data through natural language rather than navigating multiple applications. Available across web, desktop, mobile, and command-line environments, the workspace is designed to simplify audience creation, campaign planning, customer journey mapping, and marketing analysis through conversational interfaces.

The company later introduced a free version of Treasure AI Studio, allowing users to explore the platform using sample datasets or their own customer information. This reflects a growing trend among enterprise software providers to lower adoption barriers by offering hands-on access to AI-powered capabilities before organizations commit to broader implementations.

Treasure AI's strategy aligns with wider developments across the enterprise software industry. Technology providers including Salesforce, Adobe, Microsoft, Google, and Amazon Web Services (AWS) continue embedding generative AI and autonomous agents into customer experience platforms, marketing clouds, and business applications. Rather than treating AI as an independent feature, vendors increasingly position intelligent automation as a core layer across enterprise operations.

Industry analysts similarly expect AI-enabled customer data platforms to become central components of digital transformation initiatives. According to Gartner, customer data and AI-driven personalization remain among the highest investment priorities for enterprise marketing organizations. Forrester has likewise noted that organizations increasingly require unified customer intelligence to support cross-functional engagement, privacy governance, and AI-powered decision-making.

For enterprise marketers, the growing convergence of CDPs and AI agents signals an important evolution. Instead of using customer data solely for segmentation or campaign execution, organizations are increasingly leveraging unified data environments to support intelligent automation, predictive analytics, and coordinated customer engagement across multiple departments.

As AI adoption accelerates, trusted customer data is becoming the foundation upon which enterprise AI strategies are built. Treasure AI's recognition in both IDC MarketScape evaluations illustrates how the role of customer data platforms is expanding—from systems that organize information to intelligent orchestration layers capable of enabling AI-powered customer operations across both B2C and B2B environments.

Market Landscape

Customer Data Platforms are rapidly evolving into AI-native orchestration platforms that combine unified customer profiles, identity resolution, predictive analytics, and autonomous AI agents. Enterprises increasingly view CDPs as strategic infrastructure supporting marketing, sales, customer service, and digital experience initiatives.

Competition spans enterprise platforms from Salesforce, Adobe, Microsoft, Google, Oracle, and Amazon Web Services (AWS), alongside specialist CDP providers. As organizations consolidate fragmented MarTech stacks, AI-enabled customer data platforms are becoming central to personalization, customer intelligence, and enterprise automation strategies.

Top Insights

• Treasure AI was recognized as a Leader in both IDC MarketScape evaluations for AI-enabled Customer Data Platforms serving B2C and B2B organizations.
• The company's Intelligent Customer Data Platform combines identity resolution, unified customer profiles, and AI agents to support marketing, sales, and customer service workflows.
• IDC highlighted capabilities including AI-driven workflow automation, contextual orchestration, predictive scoring, and account-centric customer modeling.
• The recognition reflects broader enterprise adoption of AI-native customer data platforms that unify customer intelligence and automate engagement across multiple business functions.

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