Scale AI in Financial Services with Gartner® report's Top Data & Analytics Trends for 2026
In 2026, banking and insurance CIOs are significantly increasing investment in data and analytics as they reposition D&A from a back‑office IT capability to the operational foundation for enterprise AI.
According to Gartner, “76% of insurance respondents and 79% of banking respondents indicated their enterprise would increase funding for business intelligence and data analytics in 2026, and around 30% indicated that their funding would increase by 25% or more over 2025's funding”.
The challenge
Higher budgets don’t automatically translate into outcomes. To safely scale AI and intelligent applications inside regulated workflows, CIOs must deliver decision‑ready data, robust governance, and low‑latency, explainable decisioning across risk, fraud, underwriting, claims, and customer experience.
In this report, we believe you’ll learn how to:
Shift to decision‑ready data products that reduce decision latency, support self‑service analytics, and make data a reusable, governed asset across domains such as lending, claims, fraud, and customer intelligence.
Use knowledge graphs to create a semantic layer that grounds AI outputs in verifiable business meaning, traceable lineage, and explainable relationships across customers, accounts, policies, claims, and counterparties.
Apply agentic AI for D&A governance to continuously classify, tag, and monitor data quality and lineage at runtime, strengthening regulatory evidence while reducing manual stewardship.
Embed intelligence into core workflows – from transactions and customer due diligence to underwriting and claims – so AI moves from insight dashboards to real‑time, auditable decisions at the point of action.
Operationalize behavioral analytics to support millisecond decisions in fraud prevention, risk management, and customer experience, while maintaining robust governance and privacy controls.
Why Quantexa for Data & Analytics-driven AI?
Quantexa’s Decision Intelligence Platform helps banks and insurers to operationalize data and analytics by connecting fragmented data into a connected, decision‑ready asset. Through low‑code data ingest, high‑accuracy entity resolution, and graph analytics, Quantexa creates a single, contextual view across customers, counterparties, policies, claims, and transactions. This trusted data foundation enables explainable AI, embedded intelligence, and real‑time behavioral decisioning across financial crime, risk, fraud, underwriting, claims and customer experience.
Data unification
Our platform excels in unifying data from disparate sources, creating a comprehensive, real-time, 360-degree view of your business.
Contextual decision-making
Leveraging best-of-breed entity resolutions and advanced knowledge graph technology, Quantexa provides a unique, contextual layer of insight, visualizing complex relationships and strengthening AI-driven decisions.
Empowering the enterprise
Quantexa improves productivity by automating and augmenting with AI with tools like Q Assist, enabling stakeholders to query data naturally and make informed decisions with confidence.
Driving efficiency and automation
Our platform’s automation capabilities streamline decision workflows, driving operational efficiency and reducing risk, all while enhancing transparency and control.
Keep exploring
Gartner, Top Data & Analytics Trends in Banking and Insurance for 2026, Sudarshana Bhattacharya, Kimberly Harris-Ferrante, Jasleen Kaur Sindhu, 3 February 2026.
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