AI Sector Study 2025: Qualitative Research Lessons

Qualitative evidence can explain how stakeholders understand the conditions behind AI sector trends, while quantitative indicators show the direction and scale of change.

The UK AI sector study states that its qualitative insights come directly from sector stakeholders. Researchers can use thematic coding to identify recurring views about growth, constraints, investment, capability, or policy, then compare those themes with the 2022 to 2025 time series.

The main research challenge is connecting large volumes of stakeholder language to a consistent analytical framework.

The UK government published a 75-page main study and a 39-page qualitative findings annex on 29 October 2026. Researchers reviewing both documents may need to extract themes, compare segments, trace supporting passages, and preserve an audit trail for conclusions.

Researchers should use AI to accelerate organization and comparison of qualitative evidence, not to delegate final interpretation or evidence quality judgments.

Researchers can ask an AI system to propose themes, identify repeated concepts, compare stakeholder groups, and retrieve supporting passages. Researchers should then review the source context, challenge alternative interpretations, and document how codes and conclusions were produced.

Evidano helps researchers analyze long reports, annexes, papers, news articles, and interview transcripts in one qualitative research workspace.

Researchers can use Evidano’s features to organize source material, generate thematic and content analyses, and ask questions across uploaded documents. The workflow is relevant to the 75-page main study and 39-page qualitative annex published on 29 October 2026.

Evidano supports cross-segment analysis that helps researchers compare themes across stakeholder groups, document types, or other defined segments.

Researchers can structure codes and subcodes around the UK study’s four tracked indicators, employment, revenue, gross value added, and equity investment, then examine how stakeholder language differs across themes or segments.

Evidano’s AI chat over documents and analyses helps researchers retrieve answers from a defined evidence set rather than relying on an unstructured reading process.

Researchers can use visualizations such as word clouds, co-occurrence networks, and hierarchical code structures to inspect patterns, while returning to the underlying documents to validate interpretations. Evidano states that uploaded data is encrypted and never used to train third-party models, which is relevant when teams handle confidential interview or stakeholder material.

The UK AI sector study 2025 is an annual government analysis of the scale, scope, taxonomy, and dynamics of firms developing AI products and services in the UK.

The Department for Business, Innovation, Science and Trade and the Department for Science, Innovation and Technology published the study on 29 October 2026. The study includes quantitative indicators and stakeholder-sourced qualitative insights.

The study covers a quantitative time series from 2022 through 2025.

According to the UK government publication page dated 29 October 2026, the time series tracks employment, revenue, gross value added, and equity investment across those four years.

The qualitative findings are available in a separate annex published with the study on 29 October 2026.

The GOV.UK publication record identifies the annex as a 39-page PDF and describes the study’s qualitative insights as being sourced directly from stakeholders in the UK AI sector.

AI can help researchers organize documents, identify themes, compare segments, retrieve evidence, and visualize relationships across qualitative data.

Researchers should validate AI-generated findings against source passages and maintain human oversight when interpreting stakeholder evidence or making policy and market conclusions.