Market Research Analyst

Market Research Analyst scores 8/100 on this site's structural exposure measure, where a lower number means more exposed. Confidence is Medium because only two scoring sources cover the occupation. The core tasks are the ones language models do best: summarising large volumes of text, running and explaining statistical analysis, drafting survey questions, and turning findings into written reports and slides. Real use matches the score.

Microsoft's study of Copilot conversations rated the combined Market Research Analysts and Marketing Specialists group 0. 350 on AI applicability, against a cross-occupation mean of 0. 159, which this site bands as High usage. The Anthropic Economic Index points the same way: its observed-exposure file gives the combined group 0. 648, the fifth-highest of 756 occupations listed.

The change that matters most is the synthetic respondent: an AI-generated persona that answers survey and concept-test questions in place of recruited people. In Qualtrics' 2025 Market Research Trends Report, a survey of more than 3,000 researchers published in October 2024, 71% agreed that most market research will use synthetic responses within three years, and 89% already used AI tools regularly or experimentally.

These are self-reported opinions from a vendor that sells such tools, not measured outcomes, and the same release names panel quality and AI-generated fake responses as the top challenges. Qualtrics' follow-up 2026 report (press release, November 2025; Q3 2025 survey of 3,000+ researchers in 14 countries) found 53% use AI regularly, 15% actively use AI agents, and 78% expect agents to run more than half of projects end to end within three years.

It is the same kind of vendor opinion survey.

Our inference: if synthetic panels take over routine concept and message testing, the fieldwork and first-draft reporting that fill a junior analyst's week are the work most likely to shrink.

Nothing protects the role the way a licence or a physical task would. BLS lists a bachelor's degree as typical entry education, no required work experience or on-the-job training, and calls certification voluntary. No signature must come from a licensed person, and no hands-on task needs a machine to be physically present. Under this site's checklist, that leaves the exposure score standing. The verdict is At risk.

Two pieces of evidence point the other way, and neither changes the verdict. First, BLS projects employment to grow 7% from 2025 to 2035, adding about 66,300 jobs, with about 82,000 openings a year, mostly from workers leaving the occupation. The Employment paragraph credits an increasing use of data and market research across industries and the growth of big data analysis; it does not mention AI. The checklist does not let growth projections move a verdict.

Second, we searched for documented cases of research firms cutting analyst headcount because of AI and found none dated 2025 or 2026. The evidence is of tool adoption, not of displacement.

Synthetic data also has measured limits. A February 2026 preprint by Taday Morocho and colleagues tested persona-conditioned language models on more than 70,000 respondent-item instances from US World Values Survey data. It found that persona prompting gave no clear aggregate improvement in survey alignment and distorted answers for some underrepresented subgroups. It tested two open-weight models, not the commercial synthetic panels vendors sell, so it does not settle the question.

What this means for a reader is our reading, not a measured finding. The exposed part of the job is production work: pulling data, running standard cross-tabs, and writing the first draft. The part with more staying power is deciding what business question a study should answer, checking whether an AI-generated result can be trusted, qualitative interviewing, and persuading a decision-maker to act on a finding.

Analysts who move toward that end, or toward a licensed or regulated field, are in a stronger position.