Qlik Product Strategy and Roadmap

Explore how Qlik is advancing our capabilities to help organizations make their data work for AI.

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Qlik’s strategic vision

We're all about helping you deliver trusted, contextual, and interoperable data with ways to control cost at speed, so your data works wherever and however you use it.

Agentic AI

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  • Enable interoperable, multi-agent collaboration that connects analytics, insights, and action across environments.

  • Embed trusted, governed data intelligence into every agent, including third-party agents through standards like MCP.

  • Deliver intelligent, adaptive reasoning across governed structured and unstructured data, leveraging our analytics engine to move beyond simple responses.

Data as foundation for AI

Conceptual flow diagram for Qlik AI showing the relationship between AI Foundation data infrastructure and resulting AI Solutions.
  • Build trusted, AI-ready data from any source with governed real-time pipelines, establishing reliability before insights.

  • Deliver continuous data quality and trust scores through unified governance monitoring and compliance.

  • Support flexible AI pipelines optimized for LLMs and analytics workloads.

Context-Aware intelligence

Screenshot of an AI application answering the query "Tell me about my sales" with a text explanation and Qlik dashboard utilizing Analytics Agent, Knowledge Agent, Productivity Agent and Data Agent.
  • Drive business outcomes through natural language answers from structured and unstructured data.

  • Combine governed contextually-aware analytics with AI reasoning for more accurate and relevant intelligence.

  • Close the gap between analysis and impact with automation and seamless execution.

Learn more about Qlik Analytics® Engine

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Qlik Insider: 2026 Product Roadmap Webinars

In these special Qlik Insider webinars, we share a first look at Qlik’s 2026 product roadmaps, highlighting the strategic direction guiding our innovation across analytics and data integration.

Qlik's Roadmap

Agentic AI + MCP

Enable our customers with a collection of agents designed for specific data integration, analytics, and automation tasks. These agents can work individually or collectively to make decisions and take action. Additionally, we will empower our customers to directly engage with AI ecosystems using MCP.

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Provide trusted and high-quality data

Enrich our Data Products capabilities to serve as a connective layer across Qlik’s ecosystem, ensuring that every experience, whether creating a sheet, running a prediction, building an automation, or accessing Qlik data through an API, can leverage timely, high-quality data.

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Lakehouse adoption

Broaden the scope of Qlik Open Lakehouse to support streaming, hybrid architectures, transformations, and additional cloud storage providers.

Diagram showing a data architecture or workflow, connecting schema blocks with logos for various data and analytics services like Snowflake, Databricks, and others.

Data & AI sovereignty

Empower data sovereignty. Expand the number of cloud regions around the world to support data residency, lower latency, and governed AI.

Conceptual flow diagram for Qlik AI showing the relationship between AI Foundation data infrastructure and resulting AI Solutions.

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What's New - Product Recaps

March brings MCP-powered Agentic AI, fully integrated Data Products, and Data Quality built right into analytics workflows. The result: trusted, governed analytics from data to decision.

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Discover our Qlik Product Recap, your guide to the latest innovations available to you! Explore the latest features and improvements designed to unlock more value and elevate your experience. Dive in to see what’s new, what’s possible, and how to make the most of it.

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