I’m seeing an interesting tension in developments around customer relationship management (CRM) and customer data platforms (CDPs) in recent days. Vendors are putting more emphasis on AI-powered decision-making, predictive customer intelligence and automated engagement, but the underlying challenge remains that businesses need reliable customer data, a clear understanding of who owns it and the ability to use it consistently across the customer journey.
Salesforce has retained its position in the Leaders quadrant of Gartner's latest Magic Quadrant for CRM Customer Engagement Center (CEC), but the wider vendor landscape indicates how much the market is changing as AI reshapes customer service and engagement.
The research arrives alongside a busy week of CRM and CDP announcements. Among them, biopharmaceutical company UCB has chosen Veeva's Vault CRM as its global customer engagement platform, while commerce data provider Chord has acquired AI analytics company Zenlytic to strengthen the data foundations available to enterprise AI agents.
I'm particularly interested in the growing emphasis behind these developments on making sophisticated analytics and decisioning more accessible to marketing teams. That could help businesses move faster, although it raises questions about data quality, governance and how much confidence companies should place in AI-generated customer predictions.
The challenge of bringing customer data together is familiar to businesses trying to get more from their CRM and analytics investments. As Amber Patterson, Chief Operating Officer (COO) and Acting CEO of Patterson & Associates Consulting, told me in an interview last week:
“They have all of the data, but the source of friction is that the reports have to be pulled from a CRM, an ERP, or a property or case management system, or others. And then those systems usually aren't connected. So it has to all be connected by a person.”
As vendors add predictive analytics, automated decisioning and AI agents to their platforms, the quality and accessibility of the underlying information will influence how useful those capabilities prove to be.
Here are the CRM and CDP developments that caught my attention this week.
Salesforce Retains Leader Position in Gartner's CRM Customer Engagement Center Magic Quadrant
Salesforce has retained its position in the Leaders quadrant of Gartner's 2026 Magic Quadrant for CRM Customer Engagement Center, where the research firm assesses how technology providers are responding to the changing demands of customer service and support.
The annual assessment evaluates vendors against two criteria: their ability to execute and the completeness of their vision. The 11 providers included in this year's report are Creatio, eGain, Freshworks, Microsoft, Oracle, Pegasystems, Salesforce, SAP, ServiceNow, Zendesk and Zoho.
Gartner defines CRM Customer Engagement Center suites as platforms that use AI to augment customer interactions and orchestrate service processes. The market increasingly brings together capabilities such as case management, digital engagement, knowledge management, workflow automation and real-time intelligence.
The research is particularly relevant as traditional CRM and contact center capabilities become more closely connected. Businesses are increasingly evaluating platforms based on how effectively they can coordinate customer interactions, access enterprise information and support resolution across different departments.
The research also indicates how much the CRM CEC market is expanding beyond traditional case management. AI, workflow orchestration and real-time customer intelligence are becoming central considerations when businesses select their next customer engagement platform.
Gartner's accompanying Critical Capabilities for the CRM Customer Engagement Center, evaluates the same vendors across 12 capabilities and five use cases, including unified digital and voice engagement, case management, knowledge management, workflow orchestration and real-time continuous intelligence.
For CRM buyers, the analysis offers a framework for comparing increasingly broad platform propositions. However, a vendor's overall position in a Magic Quadrant is only one part of the evaluation. Businesses still need to examine how individual capabilities fit their service requirements, existing technology and customer engagement strategy.
Veeva Systems, a provider of cloud software for the life sciences industry, has secured a deal with biopharmaceutical company UCB to adopt Veeva Vault CRM as its global customer engagement platform.
UCB plans to use Vault CRM to support commercial execution and customer engagement internationally. The platform provides industry-specific AI capabilities intended to support product launches and improve interactions with healthcare professionals.
The announcement also highlights Veeva's wider ambitions for agentic commercial technology. Vault CRM is part of its broader CRM Suite, which provides the technology foundation for AI-supported commercial operations.
For CRM buyers, the deal offers another example of the appeal of industry-specific platforms that combine customer records, engagement workflows and AI capabilities. Life sciences businesses have particular requirements around compliant interactions, product information and relationships with healthcare professionals, making the sector an interesting test case for how agentic CRM develops.
Coforge Connects Pega Decisioning with Mastercard Personalization Technology
IT services and engineering company Coforge has launched BridgeCX, a customer engagement solution combining Pegasystems' Pega Customer Decision Hub with Mastercard's Dynamic Yield personalization technology.
The solution is designed to help businesses translate customer signals gathered across channels into next-best-action decisions, which can then be activated across web, mobile and other digital touchpoints.
Pega Customer Decision Hub provides the decisioning capabilities, using data and analytics to determine the next-best action for individual customer interactions. Mastercard Dynamic Yield adds the digital personalization engine to deliver those experiences. Coforge said BridgeCX also supports a continuous feedback loop, allowing businesses to learn from engagement outcomes and adjust subsequent interactions.
The launch reflects a familiar challenge for CRM and CDP buyers, with customer intelligence often spread across analytics platforms, decisioning engines and channel-specific tools, making it difficult to act on insights consistently.
Bringing these capabilities together could help businesses connect customer understanding with the experiences they deliver. However, the value will depend on the quality of the underlying data, how well the systems integrate with existing technology and whether the resulting decisions improve customer outcomes.
Chord Acquires Zenlytic to Strengthen Enterprise Data Capabilities
Chord, an AI-native data platform originally focused on commerce businesses, has acquired Zenlytic, an AI-powered business intelligence company, in a deal that expands its analytics and enterprise data capabilities.
The acquisition doubles Chord's revenue and brings a customer portfolio that includes Verizon, J.Crew, Domino's and Stanley Black & Decker.
The companies are targeting a growing problem for businesses deploying AI agents, as giving them access to enterprise data is relatively straightforward, but ensuring they understand the business context behind it is considerably harder. Combining the two platforms is intended to help companies move from asking AI questions about their data to using the resulting answers to take action.
The acquisition raises a question for enterprise buyers as to whether the next generation of customer intelligence platforms will need to provide a governed layer of business context that sits across existing data warehouses, CRM systems and marketing tools.
In Brief
Rokt mParticle Helps Marketers Build Predictive Customer Audiences Faster
Rokt mParticle, the customer data platform owned by ecommerce technology company Rokt, has announced that outdoor navigation app onX is using its mParticle Agent technology to reduce the time required to build predictive customer attributes from weeks to a day. The announcement brings predictive analytics closer to the people responsible for customer engagement, although marketers will still need to assess the quality and relevance of the resulting predictions.
Hightouch Expands Customer Identity Capabilities Into Five European Markets
Hightouch, a data activation platform that helps businesses connect warehouse data with their marketing and operational tools, has expanded its Match Booster identity resolution product into the U.K., Germany, France, Spain and Italy. The announcement highlights a practical challenge for CDP buyers in making sure the information they collect is usable across advertising and engagement channels without compromising the permissions attached to it.
What CRM and CDP Buyers Should Take Away
This week's announcements indicate three areas worth watching.
Customer data needs a stronger governance layer, with Chord's acquisition of Zenlytic highlighting the importance of consistent business definitions, permissions and oversight as AI agents gain access to enterprise information. CRM and CDP teams will need to consider how those controls work across systems, rather than treating each platform as a separate data environment.
Predictive intelligence is becoming more accessible, as Rokt mParticle's work with onX demonstrates how AI can help marketing teams build predictive attributes without lengthy requests to specialist teams.
And finally, decisioning and activation are coming closer together. Coforge's BridgeCX and Hightouch's Match Booster approach the challenge from different directions, but both focus on making customer data more actionable across channels. The ability to connect insight with execution will remain a key measure of value for businesses investing in CRM and CDP technology.
For me, the bigger question is whether businesses can maintain a consistent understanding of the customer as more AI-powered tools gain the ability to make decisions and initiate actions. More predictive capabilities and faster activation will be useful, but they will only improve customer experiences if the data, permissions and business logic behind them are dependable.
