Why paid research is growing in 2026 and what comes next: market figures, AI and the risks

Reason 1: companies pay to understand their customers

ESOMAR estimates the size of the insights industry every year. According to its Global Market Research 2025 report, the industry passed $150 billion in 2024 and was expected to exceed $160 billion by the end of 2025. The fastest-growing part is not the classic survey but research software: up 11.5% in a year, while traditional market research grew 4.8%.

For participants this means something simple: there are more and more tools that let companies run studies and recruit people themselves. Every such study is a paid place for a participant.

Reason 2: AI needs people

AI models learn from human judgement: people compare answers, check facts and write model answers. Grand View Research valued the data labeling solutions and services market at $18.6 billion in 2024 and projects growth to $27.6 billion in 2026 and $57.6 billion in 2030, an average of 20.3% a year.

The most visible signal was a 2025 deal: Reuters reported that Meta agreed to take a 49% stake in Scale AI, a company that supplies labeled training data for building models, for close to $15 billion. When the largest tech companies pay sums like that for access to human judgement, that is demand, not a fad.

Reason 3: geography no longer limits you

Ten years ago, taking part in a study often meant travelling to an agency office in a big city. Now most sessions are video calls, online surveys and tests from home. Respondent cites more than 4.3 million verified participants in over 150 countries, and User Interviews more than 5,000 studies launched every month and over 94,000 participants paid in the last year.

Remote formats have made the market global on both sides: a company in one country recruits people in another, and a participant can take part without leaving home. Limits remain — a platform’s country list and the language of the study — but the city you live in hardly matters any more.

Reason 4: pay has become more transparent

A market that pays participants pennies does not grow for long: people leave. Platforms understand this. Prolific enforces a minimum rate of £6 or $8 an hour and recommends that researchers pay at least £9 or $12. User Interviews publishes pay ranges by format, and Respondent publishes typical amounts. When the pay is visible before you take part, participants can compare, and that supports trust in the niche as a whole.

Reason 5: people want flexible income

In its Future Workforce Index 2025, Upwork estimates that 28% of skilled knowledge workers in the US now freelance or work independently, earning $1.5 trillion in 2024. Those who freelance alongside a full-time job earned a median of $40,000 a year from freelancing.

Paid research fits this picture as one of the easiest ways in: no portfolio, clients or reviews, just a profile and time for a session. It does not replace a profession, but it is a convenient addition, and demand for it grows together with the general interest in flexible income.

What the ten-year forecasts say

Nobody publishes a direct forecast for "paid research in 2036". There are forecasts for neighbouring markets, and they all point up: data labeling at 20.3% a year to 2030 according to Grand View Research, research software as the fastest-growing segment of the industry according to ESOMAR. Our conclusion: as long as companies need to understand people and AI models need human judgement, demand for participants will grow.

But that is a conclusion, not a fact. Analyst forecasts are often revised, and a market growing 20% a year can slow just as sharply if the technology changes. So the sensible strategy is not to bet everything on one direction but to have several sources of income, and to keep an eye on which formats keep paying well as the market shifts.

Honest risks

The biggest risk is "synthetic users": companies trying to replace some participants with AI-generated answers. Nielsen Norman Group, one of the best-known UX research firms, examined this approach in 2024 and concluded that synthetic users cannot replace real ones: they tend to give pleasing answers, oversimplify human behaviour and miss the real reasons behind decisions. In their view, such answers are only good for early hypotheses that are then tested with real people.

• synthetic participants may shrink some of the simplest surveys
• panel fraud pushes platforms to tighten checks, so getting in becomes harder
• AI training demand comes in waves: projects end and there may be no work for weeks
• access depends on your country: Prolific, for example, is not available from Ukraine

What this means for you

The conclusion is practical. Complex formats — interviews, focus groups, studies with professionals — are the least threatened by AI, because that is exactly where real reasons for decisions are valued. AI training gives steady volume but requires an entry test. Combining both directions and not depending on one platform works best.

LazyBounty gathers open paid studies into one feed and shows the ones that may fit your country and profile, so you do not miss new studies while the market grows.

How to prepare for the coming years

If the market grows, the winners will be people with profiles that are hard to replace. A few practical steps follow from the sources above. This is our conclusion, not advice from the platforms, but it is consistent with where each of them says the highest pay goes and which people they find hardest to recruit.

• build specialist expertise: AI training and studies with professionals pay the most
• keep your participant profile complete and current, because selection runs on the profile
• use your languages: multilingual projects and local-market studies look for native speakers
• hold accounts on several platforms that operate in your country
• keep a log of hours and payouts to see which format really pays off
• stay honest in screeners: platforms tighten checks as fraud grows, and a clean record becomes an asset