Industry research
Software, cloud & AI market research
Define the opportunity across software products, cloud services, and AI integration. Start with a consistent market boundary, then examine adoption, spending, competition, and delivery requirements.
Research for your decision
Plan a custom research scope for your question.
Discuss your research scope →Questions to resolve before choosing research
Use these topics to assess a report’s coverage or brief a custom study. The scope of each published edition is stated on its report page.
Separate product revenue from service spending
Software subscriptions, cloud consumption, implementation, and managed services can overlap in broad forecasts. Establish whether a study counts supplier revenue, customer spending, or gross transaction value. Check how bundled services and channel resale are treated.
Distinguish adoption from paid demand
An enterprise using AI may rely on an existing software feature, an internal team, or a specialist provider. Adoption rates alone do not determine an integration-services market. Ask which workloads, budgets, and buying decisions connect usage to external spending.
Compare customer segments and buying cycles
Enterprise size, data readiness, industry requirements, deployment models, and procurement cycles can change the addressable opportunity. Look for the segments relevant to your offering and the evidence behind their assumed adoption path.
Test the delivery economics
A useful brief distinguishes recurring revenue from project work, new deployments from maintenance, and demand growth from delivery capacity. Ask how pricing, implementation effort, switching costs, and platform dependencies are represented.
Start with the evidence
Public statistics can establish a baseline. Check the source’s definitions, observation period, and covered population before applying it to your target market.
Eurostat: enterprise use of AI technologiesRead our methodology and define a research brief before comparing forecasts.