What Are the Biggest CRM Trends 2026 Buyers Can’t Ignore If They Want Faster Growth? – CX Today
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The future of CRM technology in 2026 is about connected data and usable AI.
Published: March 26, 2026
Sophie Wilson
CRM trends 2026 are colliding with a simple reality: customer expectations keep rising, while teams still wrestle with fragmented data and inconsistent processes. Salesforce research frames this as a trust and expectations problem in an AI era, which is exactly where CRM and customer data management now meet.
Continue reading to find out what trends are defining the market in 2026, and how to stay ahead of your competitors.
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What are AI CRM trends?
CRM capabilities that use generative AI to summarize work, recommend next steps, and automate tasks.
In 2026, AI in CRM has moved into daily workflows, with a particular focus on agentic AI assistants that actually do some of the work.
Gartner has said AI assistants and automation will transform customer service and support by 2028. That direction is already reshaping CRM expectations in 2026.
It is key to note that AI is only as good as the data it touches. If your data is messy, AI will scale the mess.
In 2026, customer data strategy is moving away from the old approach, which looked like this:
You try to pull every customer record from every system into one massive database, then hope everyone uses it the same way.
It sounds tidy. It is usually slow, expensive, and hard to maintain.
Now, more teams are building connected data models.
That means they keep data in the systems where it already lives, but link it together using shared identifiers, event streams, and integrations. The goal is to make the right customer data available to the right team at the right moment.
A simple way to think about it:
An example of this in action is Salesforce’s Data Cloud, which provides a way to unify and activate customer data for CRM and AI use cases, with governance layered in.
So the wave that CX leaders are now riding is customer data which is:
Gartner’s 2025 data and analytics trends coverage points to growing organizational and human challenges as data and analytics becomes more pervasive.
In 2026, CX leaders are realizing something painful: Buying new CRM features will not fix broken data ownership.
So what does “serious” CX data strategy looks like in 2026?
What is Privacy-first Customer Data?
Customer data practices built around consent, transparency, and minimized exposure of personal data.
Google’s decision to keep third-party cookies in Chrome, while adding a user choice model, reinforced that identity and consent strategies must be more resilient than any one browser policy.
This pushes CRM and customer data teams toward:
It also helps explain the growing interest in privacy-preserving collaboration methods. More on that below…
What Are Data clean rooms?
Environments that let parties collaborate on data in privacy-preserving ways.
What Are the Benefits of Data Clean Rooms?
Data clean rooms help you get more value from your data by combining it with partner datasets to uncover new insights. They also keep data safer and more compliant by preventing raw data sharing, reducing breach risk, and enabling secure collaboration that speeds up innovation.
Clean rooms are gaining traction because they reduce the need to move or expose raw personal data.
IDC describes clean rooms as a way to enable secure and privacy-preserving data collaboration across multiple parties.
IDC also points to a FutureScape-style prediction that, by 2028, 60% of enterprises will collaborate on data through private exchanges or clean rooms.
In 2026, this trend affects CRM planning because:
By the end of 2026, the CRM conversation will sound different. Buyers will care less about isolated features and more about whether the platform can sit at the center of a fast-moving customer operation.
In other words, “Does it have X feature?” becomes “Does it fit our ecosystem?”
In 2026, that ecosystem typically brings together:
The future-facing shift is this: CRM becomes the place where customer decisions happen in real time. That only works when the CRM is tightly linked to trusted data and the systems that execute work.
The next step: define the outcomes you want first. Then work backward to the data, integrations, and controls you will need to deliver them in 2026 and beyond.
CRM trends 2026 are the biggest shifts in how CRM uses AI, governance, and connected customer data to improve outcomes.
Customer data trends include stronger governance, privacy-first practices, and more connected data models across systems.
AI CRM trends focus on assistants and agents that summarize, recommend actions, and automate routine CRM work.
Because AI and personalization depend on trusted data, shared definitions, and clear ownership.
Use them as a readiness checklist. Map data, owners, and risks before you compare vendors.
Want the bigger picture for this topic? Keep going with The Ultimate Guide to CRM & Customer Data Management.
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CRM & Customer Data Management
What Do CRM Analyst Reports Reveal About CRM And Customer Data In 2026, And Are You Behind?
CRM & Customer Data Management
What Is Customer Data Management? CRM, CDP & Data Strategy Explained for 2026
AI & Automation in CX
Salesforce’s Informatica Expands Microsoft Alliance to Streamline Enterprise Data Foundations
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