New research from Qualtrics reveals a stark divide in the market research industry, where the adoption of advanced AI is becoming a critical determinant of strategic influence. According to the 2026 Market Research Trends report, teams relying on basic AI functionalities are four times more likely to lose organizational sway, while those leveraging purpose-built AI tools are reporting significant budget gains and increased demand for their insights.
Research teams using basic AI are 4x more likely to lose organizational influence.
72% of teams using purpose-built AI report significantly increased organizational dependence.
Adoption of embedded, purpose-built AI in research software has grown from 62% to 66%.
45% of synthetic data adopters now view it as their most reliable data source.
Research teams using agentic AI are far more likely to report significant efficiency gains (84%).
A major leadership-individual contributor gap in AI confidence and adoption hinders execution.
The report highlights a tipping point in AI adoption, where strategic advantage is no longer about just using AI, but about using the right kind. Purpose-built capabilities like conversational analytics and visual content analysis are enabling researchers to deliver richer insights in hours instead of weeks. This translates directly to commercial impact, with these teams being more likely to engage in high-value, early-stage innovation and go-to-market research.
Ali Henriques, Executive Director of Edge at Qualtrics, stated: "In today's fast-moving economies, rapid access to consumer insights is a huge advantage, and the research teams embracing AI build advantages that latecomers will find difficult to overcome."
The adoption of synthetic data and agentic AI is fundamentally changing the nature of market research work. Organizations are using purpose-built synthetic models to reduce costs, shorten insight timelines from weeks to hours, and expand audience reach. Furthermore, researchers are overwhelmingly bullish on agentic AI, with 78% believing AI agents will handle most projects end-to-end within three years, a shift that democratizes insights across the organization.
Garred Sheppard, Marketing Research Director at Gabb, said: "Synthetic data became our 'cultural radar'—cutting research timelines from a week to hours while giving us confidence to test messaging against emerging trends."
A significant finding of the report is a critical misalignment between research leaders and their frontline teams regarding AI. While leaders are confident in their AI revolution, individual contributors are far more skeptical and less experienced. This gap in adoption, expertise, and confidence risks wasting budget on underutilized tools and ceding competitive ground to better-aligned organizations.
Ali Henriques added: "When frontline teams don't buy in, expensive AI tools go unused and competitors with better alignment move faster. Organizations need to bridge this divide by establishing shared definitions of success, providing hands-on training, and ensuring teams at every level understand both the potential and practical application of new AI capabilities."
The Qualtrics report makes it clear that the future of market research belongs to teams that fully integrate purpose-built AI into their workflow. The strategic influence of research functions is now directly tied to their ability to leverage these advanced tools to deliver faster, deeper, and more scalable insights. For organizations, bridging the internal AI confidence gap is as crucial as the technology itself for maintaining a competitive edge.
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