Trend Ahead / Signal Loom
Category Opportunities
Help strategists, marketers, product teams, researchers, and business leaders connect observable consumer, cultural, and technology change to the questions that reveal where a new category could form.
Evidence
Provisional research context
Research emerging opportunities across categories
Provisional synthesis: digital commerce is expanding, firms are asking for more usable data, and employers expect AI and big data skills to rise. Together, these signals point to areas worth investigating—not to a validated market opportunity.
Scope and limitation: EU internet users; G7 countries and Brazil; employer outlooks across 55 economies. This provisional synthesis is not the supplied research outcome and does not establish market size, demand, or category viability. Validate it with target-market, customer, and category research.
Published 20 February 2025; companion signals published January–May 2025
EU internet users; G7 countries and Brazil; employer outlooks across 55 economies.
Working hypothesis
Opportunity may form where change meets constraint
An emerging category may be worth investigating where an observable behavior shift meets an unresolved capability, access, or workflow constraint. Here, digital commerce, usable data, and AI/data capability are opportunity areas to investigate—not validated market-size claims or forecasts.
Limitation: Treat this as a hypothesis for research. Test the target audience, job to be done, competitive set, willingness to pay, and category conditions before making an investment decision.
Evidence handoffs
Related signals
Start with a few source-backed developments, then follow the thread into the full library.
Eurostat reports that 77% of EU internet users bought or ordered online in 2024, up from 59% in 2014. Use this as evidence of a behavior shift to investigate; it does not establish demand in a target category.
Read this signalAn OECD, BCG and INSEAD study of 840 enterprises across G7 countries and 167 in Brazil highlights demand for higher-quality public data, simpler access, and clearer information to support AI adoption. Use it to investigate data access constraints, not to assume a market.
Read this signalIn the World Economic Forum’s survey of employers across 55 economies, 39% of workers’ core skills are expected to change by 2030, with AI and big data among the fastest-growing skills. Use it to investigate capability gaps, not as a forecast for every role or market.
Read this signalKeep exploring
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