Dataroid Recognized in the GartnerĀ® Market Guide for Product Analytics (2026)
Named a Representative Vendor, Dataroid brings unified analytics, real-time engagement and agentic AI to banks and high-compliance enterprises as it expands across EMEA
Dataroid, the AI-powered digital product, journey analytics, and engagement platform, today announced it has been recognized as a Representative Vendor in the GartnerĀ® Market Guide for Product Analytics (2026). Trusted by leading banks and enterprises in regulation-heavy industries, Dataroid unifies enriched customer data, behavioral analytics, real-time engagement and app performance management in one platform.
Gartner defines the product analytics (PA) market as āapplications that are used to collect and analyze behavioral data and sentiment to increase user engagement, adoption and satisfaction and to improve and drive retention.ā Among its Strategic Planning Assumptions, the guide states, āBy 2030, 70% of product leaders will automate product decisions through user behavior insights obtained with PA, up from 30% in 2026.ā
Dataroid Co-Founder and Chief Revenue Officer Elif Parlak said “We believe this recognition reflects how Dataroid has built AI-powered digital product analytics where compliance is non-negotiable. Serving the largest banks in Turkey, Azerbaijan, and the Gulf has meant delivering analytics, engagement and AI at enterprise scale, under some of the strictest regulatory requirements. That discipline is why more than 500 million users today experience digital banking shaped by Dataroid. It’s also our proving ground for bringing Dataroid to banks around the world. Clients measure us on business impact, and that means higher conversion, stronger retention, and greater customer lifetime value. Our investment round earlier this year lets us bring the same capability to financial institutions across EMEA, alongside AI agents embedded directly in our customers’ dashboards.”
The GartnerĀ® Market Guide for Product Analytics lists āScaling trust and governance: (62% of PA providers)ā among common enterprise AI adoption challenges. The guide also states that āThe most prominent challenge is managing the customersā shift to AI. PA providers highlight the difficulty of scaling organizational trust, managing the probabilistic AI agent outputs, and proving reliability to compliance and risk teams, particularly in highly regulated environments.ā
Dataroid Co-Founder and Chief Technology Officer Can Elmas said, “Product leaders want AI that can show what is happening, explain why, and act on it. In regulated industries, that only works when trust is built into the architecture, and that includes the AI itself. Dataroid supports private cloud and on-premises sovereign deployment, gives each institution its choice of LLM behind AI Agent D, including bringing their own models and keys, and operates on pseudonymized behavioral data by default, with data collection always under the institution’s control. That is what lets banks adopt behavioral analytics, real-time engagement and AI-driven decisioning inside the governance frameworks they already have.”
Dataroid's market position and growth performance
Dataroidās performance is reflected in its published success stories with leading financial institutions, including Garanti BBVA, ING, Kuveyt TĆ¼rk, Vision Bank, Ä°Åbank, Yapı Kredi, Akbankās Juzdan, and Vakıf Katılım, documenting measurable results across digital banking channels. In January 2026, Dataroid raised US $6.6 million in a pre-Series A round led by Tacirler Asset Management’s FinAI Venture Capital Fund, with participation from Tacirler’s Future Impact Venture Capital Fund and Endeavor Catalyst, to expand its footprint across EMEA and accelerate AI-powered product development.
Dataroidās Position and Direction
Dataroid was built on the trust of some of the world’s most demanding banks, and that trust defines what comes next. Dataroid is evolving from a platform teams look at into infrastructure their AI works on: a headless model where AI Agent D, the first of a family of specialized, governed agents, operates directly inside the tools teams already use, with every agent’s scope defined and every action auditable. What has been proven with the largest institutions in Turkey and the Gulf is now being brought to financial institutions worldwide, at the same standard without exception.
Gartner, Market Guide for Product Analytics, Adrian Lee, Vivek Tomar, Andrew Newman, 26 August 2026.
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Trusted by leading banks including Garanti BBVA, ING, QNB, Kuveyt TĆ¼rk, KFH, and Vision Bank, Dataroid combines enriched customer data, behavioral analytics, app performance management, and data modeling into a single platform, providing marketing, product, customer, and technology teams with end-to-end customer insights. Processing behavioral data at scale and in full compliance, Dataroid today shapes the digital experience of more than 500 million users.
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