The State of CAWI in Poland: Market Size, Growth Drivers & 2025 Outlook

CAWI (Computer Assisted Web Interviewing) now accounts for the single largest share of research revenue in Poland. PTBRiO’s Insight Map puts online surveys at 29.5% of the industry’s total turnover in 2024, a 1.3 pp jump from 28.2% a year earlier — evidence that budgets continue to shift toward digital data collection.

The picture is even clearer on the respondent side: roughly 55% of all individuals who participated in research in Poland during 2024 did so through a web-based questionnaire, with the national total exceeding 6 million completed online surveys per year.

Overall, the Polish research sector posted approximately 9.1% revenue growth in 2024 compared to the prior year, according to industry reports covering 32 firms reporting to PTBRiO. Domestic commissions from FMCG, pharma, and digital media were the primary growth engines.

Revenue share by method (Poland, 2024):

Online research (CAWI): 29.5% (2023: 28.2%)
Retail audit: 28.4% (2023: 25.3%)
Telephone research (CATI): declining share year-over-year
Total quantitative research: 92.0% (2023: 93.0%)

Source: PTBRiO Insight Map — the annual benchmark publication for Poland’s research industry.

CAWI’s viability hinges on internet access — and Poland’s connectivity figures provide a strong foundation.

The GUS “Information Society in Poland 2024” report highlights the following:

87.6% of people aged 16–74 went online at least once a week in 2024 — up 2.3 pp from the previous year.

83.9% connected daily or near-daily — a 4.4 pp year-over-year gain.

95.9% of Polish households had a working internet connection.

Students lead with 99.9% regular usage; retirees and the economically inactive trail at 66.6%. For researchers, the takeaway is clear: CAWI covers working-age and younger cohorts exceptionally well, but populations over 65 still require complementary methods such as CATI.

Poland remains about 5 pp below the EU average of 90% regular users — a gap that spells continued room for CAWI growth as connectivity improves.

Most professional CAWI fieldwork in Poland runs through research panels — pre-recruited pools of verified individuals who have opted in to survey participation.

Major panels operating in Poland include:

Ariadna Panel — 110,000+ registered members with full identity verification and PKJPA quality certification. Ariadna does not accept pop-up or mass-email sign-ups; every panelist is individually recruited.

SW Panel (SW Research) — 135,000+ panelists profiled across demographic, psychographic, and geographic dimensions, making it one of the country’s largest access pools.

Opinia24, Biostat, Fieldstat, and others — agencies that maintain proprietary panels or draw on partner-panel networks for supplementary reach.

Panels address CAWI’s core vulnerability: respondent identity. An open-link survey offers no assurance about who is answering; a panel provides verified, profiled individuals every time.

Quality governance sits with ESOMAR (European Society for Opinion and Marketing Research), whose global standards programme sets standards for recruitment, verification, incentive design, and panelist rotation — all aligned with GDPR and the ESOMAR Code of Conduct.

A well-executed CAWI project moves through six clearly defined phases:

Phase 1 — Brief and questionnaire design. Research objectives, target definitions, and hypotheses are locked in. Question types are selected (single-choice, multiple-choice, scales, open-ended, matrix, ranking) and skip logic, rotation, and validation rules are drafted.

Phase 2 — Survey programming. The instrument is built in a dedicated platform (Confirmit, SurveyMonkey, LimeSurvey, Qualtrics, or equivalent). Multimedia stimuli — product images, videos, ad materials — are embedded, and screening filters eliminate respondents who fall outside the target criteria.

Phase 3 — Pilot (soft launch). A small sample of 20–50 respondents completes the survey under live conditions. Completion time, question clarity, routing accuracy, and early drop-off points are reviewed and corrected before full launch.

Phase 4 — Fieldwork. Panel invitations go out and the system tracks response rates, drop-off rates, median completion times, and demographic quotas in real time. Under-represented segments receive supplementary recruitment waves.

Phase 5 — Data cleaning. Records flagged as speeders (abnormally fast completions), straightliners (monotone response patterns), logically inconsistent, or bot-generated are removed. This quality gate is growing in importance — more on that below.

Phase 6 — Analysis and reporting. Cross-tabulations, significance testing, data visualisation, and a final report with actionable recommendations.

The sweet spot for survey length is 7–15 minutes. Once a questionnaire exceeds 15 minutes, abandonment rates spike and data quality drops off sharply.

CAWI versus CATI is one of the first trade-offs in any research design. Here is how the two methods stack up across the dimensions that matter most.

Cost per interview: CAWI carries no interviewer labour cost. On large-sample projects (N=1,000+), the saving over CATI can reach 60–70%.

Turnaround: CAWI has a clear advantage. A panel-based study can collect 500 completes in 2–5 days; the same volume via CATI typically requires 2–3 weeks.

Geographic coverage: Both methods can theoretically reach respondents nationwide, but CAWI does so without infrastructure dependencies. CATI relies on phone networks where pick-up rates are falling year on year.

Interviewer bias: CAWI removes it entirely. Respondents answer in private, which improves honesty on sensitive subjects (income, health, voting, personal habits). In CATI, a live interviewer can inadvertently trigger social-desirability effects.

Respondent control: CATI’s strongest suit. The interviewer can clarify questions, maintain focus, and confirm the right household member is on the line. CAWI offers no comparable safeguard against distracted or proxy respondents.

Multimedia capability: CAWI supports images, video, shelf simulations, and interactive exercises. CATI is limited to what can be communicated by voice.

Population coverage: CATI reaches older adults (65+), rural communities, and lower-education segments that online panels underserve. CAWI dominates the 18–55 bracket.

Mixed-mode designs are increasingly common: CAWI handles the bulk of fieldwork while a CATI top-up fills quotas for hard-to-reach groups.

CAWI in 2025 faces a set of industry-wide pressures that every commissioner should understand:

Bots and fraudulent respondents. Research agencies have been reporting a sharp rise in bot traffic and so-called “respondent farms” — organised groups that register multiple panel accounts to harvest incentives. Industry reports note that over 51% of all internet traffic in 2024 was machine-generated. Although most bots are not aimed at research panels, the spill-over effect has pushed quality-control costs for CAWI projects significantly higher.

Standard countermeasures include CAPTCHA and identity checks, completion-time analysis (bots are faster than humans), trap questions, pattern detection (straightlining, random clicking), geolocation, and browser fingerprinting.

Pricing pressure and commoditisation. Low entry barriers in CAWI fuel aggressive price competition. Buyers often compare bids on cost alone, compressing margins. Agencies that invest in panel quality, rigorous data cleaning, and advanced analytics face the ongoing task of demonstrating why a cut-price survey can deliver worthless data.

AI — a double-edged sword. Machine learning is reshaping CAWI on both sides of the equation: it accelerates survey design, automates anomaly detection, and enriches analytical output — but it also makes it easier to build smarter bots. Agencies that embed AI into their quality and analytics workflows hold a tangible competitive advantage.

CAWI is the right call when:

The target population is digitally active (18–55, professionals, urban dwellers, students). The project demands a large sample (N=500+) on a compressed schedule. The subject matter is sensitive and benefits from respondent anonymity. You need to present visual or interactive stimuli — packaging, video, shelf layouts, concepts. The questionnaire relies on rotation, randomisation, or advanced branching logic.

CAWI is not the right call when:

The audience skews 65+ or has limited internet access — CATI or CAPI will yield better coverage. The objective requires exploratory depth — qualitative approaches (IDI, focus groups) are more suitable. The universe is extremely narrow (e.g., 50 procurement heads in a single sector) — telephone-based recruitment and individual interviews are more practical. Full general-population representativeness is essential — CAWI will need statistical weighting or a CATI supplement.

The guiding principle: choose the method that fits the research question, not the budget. CAWI is cost-efficient, but it is not a universal answer to every research need.

Several overlapping frameworks govern professional CAWI practice in Poland:

OFBOR and the PKJPA programme. Poland’s Organisation of Market and Opinion Research Firms (OFBOR) runs the PKJPA (Fieldworker Quality Control Program), which has included online-research standards since 2014. PKJPA specifies how panels must recruit, verify, incentivise, and rotate respondents.

ESOMAR/ICC Code. The global code of conduct for market and social research, covering informed consent, respondent anonymity, data handling, and transparency toward commissioning clients.

GDPR. The EU’s data-protection regulation carries particular weight in CAWI: explicit participation consent, the right to withdraw at any point, data minimisation, pseudonymisation, and secure storage are all mandatory.

ISO 20252. The international quality-management standard for market, opinion, and social research, spanning the full lifecycle from project brief to final deliverable.

Agencies certified under PKJPA and operating within the ESOMAR framework give clients confidence that every data point was collected to the highest industry standard.

A snapshot of the numbers that define CAWI in Poland today:

29.5% — online research’s share of total industry revenue in 2024 (PTBRiO Insight Map).

55% — proportion of all research participants in Poland reached via web surveys.

6 million+ — estimated online surveys completed annually nationwide.

9.1% — year-on-year revenue growth for the Polish research sector (2024 vs 2023).

87.6% — regular internet users among Poles aged 16–74 (GUS, 2024).

95.9% — household internet penetration.

110,000+ — registered panelists in the Ariadna panel, one of Poland’s largest access pools.

7–15 min — the recommended completion-time window for a CAWI questionnaire.

Taken together, these metrics confirm that CAWI is not only the dominant data-collection method in Poland but also one with meaningful headroom for further expansion — powered by rising connectivity, automation, and accelerating demand for rapid consumer intelligence.