IT & Technology Research in Poland

IT and technology market research encompasses projects covering tech companies, software providers (SaaS, on-premise), systems integrators, startups, and venture capital funds. These studies analyze technology adoption, user needs, B2B purchasing processes, satisfaction with digital solutions, and technology product positioning relative to competitors.

Poland’s IT sector is one of the fastest-growing in Europe — employing over 400,000 specialists, with the IT market value exceeding 50 billion PLN. Poland has established itself as a European IT nearshoring hub, and homegrown tech companies (CD Projekt, Allegro, DocPlanner) are gaining international recognition. Key market-shaping trends include: mass AI adoption (generative AI, automation), cloud migration, cybersecurity (growing threats = growing budgets), and low-code/no-code platforms (democratizing software development).

Common IT sector research projects include: application and digital platform UX testing (usability research, UI concept A/B testing), technology adoption studies (organizational readiness for AI, cloud, automation), B2B client needs analysis (which features do they seek, what’s a dealbreaker?), SaaS user satisfaction research (NPS, churn drivers), product-market fit validation for startups, and interviews with IT decision-makers (CTO, CIO, CISO) to understand procurement processes and vendor selection criteria.

Methodologically, IT research is distinguished by the need to bridge end-user and purchasing decision-maker perspectives — these are often two different people with different needs. The most commonly used methods are: IDI with C-level decision-makers (deep exploration of purchasing processes, budgeting, criteria), CAWI among end-users (fast, scalable), UX testing (moderated and unmoderated), developer community research, and desk research (analysis of Gartner, IDC, Forrester, and Stack Overflow reports).

The challenge is the pace of technological change — IT product lifecycles are short, and research findings can become outdated before they’re implemented. Additionally, IT decision-makers are notoriously difficult respondents — they have limited time, receive many research invitations, and expect a high level of subject-matter expertise from the researcher to take the project seriously.