Trends Influencing the Research Community
The researcher’s role is evolving as strategic judgment becomes more important. As AI and software handles surveys, data cleaning, and other automated tasks, the counterpoint is that researchers can spend more time playing to their strengths such as providing context, data storytelling, and advising and engaging stakeholders. Insights teams are shifting from report delivery functions into internal strategic advisors who help organizations navigate fast-moving business decisions.
Decision-making is changing as insights are speeding up and transforming from the static surveys of the past. As GroupSolver points out in its article, “The future of market research: 7 trends reshaping the industry,” “AI, behavioral science, and shifting business expectations are converging, and the research teams that understand where the industry is heading will have a meaningful advantage over those still running the same playbook from five years ago.” GroupSolver identifies these game-changing trends in market research:
Trend 1: AI is shifting from a processing tool to a research partner. The implication for research teams: the value of a skilled researcher is no longer in managing the process. It’s in knowing which questions to ask in the first place and knowing what to do with the answers.
Trend 2: The qual/quant divide is collapsing — and that’s a good thing. Modern platforms are designed to deliver statistical confidence while capturing open-ended human reasoning simultaneously. The result is richer findings in less time, without the overhead of running parallel research streams.
Trend 3: Continuous listening is replacing the periodic study. The emerging model is continuous listening: lightweight, ongoing research embedded into regular marketing and product workflows. Not a replacement for deep qualitative studies, but a complement to real-time signals that allow teams to detect changes early and investigate when something looks off.
Trend 4: Data quality has become a strategic risk, not a methodological checkbox. Here’s a trend that doesn’t show up in most future-of-research roundups, but probably should be first on the list: the quiet data quality crisis in online research.
Trend 5: Concept testing is becoming faster and more iterative. Modern concept testing is moving toward a rapid iteration model: test earlier, test more concepts in parallel, use smaller samples when directional feedback is sufficient, and use AI to accelerate the analysis cycle.
Trend 6: Respondent experience is finally getting the attention it deserves. The future of market research pays closer attention to the respondent side of the equation. More conversational, open-ended formats. Fewer forced-choice scales. More room for natural language. Designs that invite genuine participation rather than mechanical completion.
Trend 7: Insights teams are being pressured to prove their value differently. The expectation gap between what leadership wants from insights and what teams can realistically deliver is widening in ways that are restructuring how the function operates.
TMRE Session Spotlight: Future Scenarios for Market Research
During TMRE 2026, which will be held October 5-7, the session, “Four Future Scenarios for the Market Research Industry,” will be presented by Anna Stoesz, Lecturer – Carlson School of Management Impact Lab, University of Minnesota.
Over the next decade, the market research industry will not follow a single linear path. Instead, it is being pulled toward four distinct potential futures shaped by AI maturation, economic pressure, decision risk, and shifting notions of trust and emotion. This session will provide a structured foresight framework for the market research industry, built around four future scenarios:
• Human Intelligence Renaissance
• Fast, Cheap, Narrow
• Disintermediated Collapse
• Intelligence Orchestration
The scenarios describe different futures for research as a profession and function, also tapping into the likely horizons for each. For each future, we will describe how company economics, pricing, talent, and use cases evolve along the way and what it will take to be successful in both corporate research and agencies.
This session will appeal to three key audiences: (1) Leaders of insights functions thinking about how to prepare for the future. (2) Vendor-side researchers adjusting to new ways of working, and (3) Early-in-career researchers with a focus on future skills and development needs.
All participant groups will leave with a new mental model they can apply to their own unique situations. Leaders will have the foresight to define their insights function, vendors will have foresight to offer new value propositions and early-in-career researchers will have a roadmap for skill development.
Click here for more TMRE 2026 registration information and the show agenda.
Transforming to a Decision Support Function
There is a great debate in the market research community regarding evolving market research trends, from the use of synthetic panels to reinforcing data quality to the development of AI agents.
GroupSolver and other market research leaders point to the widening expectation gap. As GroupSolver observes, “Business leaders want insights faster, more continuously, and with greater clarity about what to actually do with them. Research teams are being asked to deliver strategic input, not just study outputs. Meanwhile, the volume and complexity of data available to organizations have expanded well beyond what traditional research workflows were designed to handle.”
Research technology innovation, meanwhile, is responding to that gap. But it’s not technology operating alone. The more important directional shift is seeing insights as a robust capability, not just a reporting and validation function. GroupSolver points to the shift internally from a “research function” to a “decision support function.”
“For insights leaders, the question isn’t just which trends to follow,” advises GroupSolver. “It’s how to build a research model that’s credible, sustainable, and clearly connected to business impact at a time when every function is being asked to demonstrate its value more explicitly.”
Video: “10 Market Research Predictions in the Next 4 years,” courtesy of Displayr.
