Sisense, a leader in AI-powered embedded analytics, today released its 2026 State of Analytics report. The study of 267 product leaders reveals a widening gap between AI ambition and real-world results, as teams struggle to operationalize insights within workflows.
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Title image of The State of Analytics 2026 report by Sisense.
Despite increased adoption of analytics and AI tools, core challenges persist. Accessibility remains a major barrier, with 69% of respondents reporting that analytics are not easily accessible across their organization, and 65% admitting they’ve made business decisions without consulting available data due to access challenges.
Additionally, while 48% of leaders trust AI insights, teams still spend 40% of their time validating them. Integration complexity also remains a barrier, with 29% of AI initiatives failing to move beyond the pilot stage.
Key Insights
AI Trust is Conditional: Significant time is lost to human oversight due to concerns about accuracy and data quality.
Accessibility Barriers: Analytics still largely require specialist intervention, limiting democratization of data.
Integration Bottlenecks: Technical hurdles delay time-to-market and limit the ability to deliver differentiated experiences.
The Future of Operational Analytics
Product leaders expect analytics to move into the products themselves. 43% of respondents anticipate analytics will be embedded directly into business applications, while 24% see conversational interfaces as the future primary access point.
“Organizations have made significant progress in adopting AI, but adoption alone doesn’t drive value,” said Andrew Loomis, VP Customer Success at Sisense. “The real challenge, and opportunity, is operationalizing those insights inside the products and workflows where decisions happen. That’s where embedded, AI-powered analytics becomes essential.”
Read the Sisense 2026 State of Analytics report.
Methodology
The survey was conducted in partnership with UserEvidence and included 267 product leaders across industries. All respondents worked at organizations with at least 100 employees, with nearly half representing companies with over 1,000 employees. The research was conducted in February 2026 and reflects a global sample across North America, EMEA, and LATAM.
About Sisense
Sisense is the leading AI-first embedded analytics platform that democratizes data access, empowering developers, app builders, and business users to embed actionable insights into their products and workflows. With a complete suite of no-, low-, and pro-code tools, Sisense simplifies data preparation, uncovers deep insights, and seamlessly embeds analytics into applications, catering to both technical and non-technical users. The flexible analytics platform enables customers like Seismic, Barrios, and Tessitura to infuse actionable insights into their customer experiences. Founded in Israel in 2004, Sisense maintains ISO 27701 privacy, ISO/IEC 42001 AI governance, and ISO 27001 information security management certifications. For more information, visit www.sisense.com.
About UserEvidence
UserEvidence is a software company and independent research partner that helps B2B technology companies produce original research content from practitioners in their industry. All research completed by UserEvidence is verified and authentic according to their research principles: identity verification, significance and representation, quality and independence, and transparency. All UserEvidence research is based on real user feedback without interference, bias, or spin from clients.
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