How Market Researchers Use Renewable Electricity Data

The brief usually lands as three questions: how big is the solar or wind market in country X, how fast is it growing against neighbours, and what happens by 2030. Clients want GW of installed capacity, percentage shares of the electricity mix, and a forecast they can put on slide four without a footnote fight. Renewable electricity is unusually friendly territory for that work because the core evidence is published at both facility and country grain.

Datadory catalogs 15 primary datasets for the industry plus 2 related listings - EIA Form EIA-860 for US generators and BEA GDP-by-industry for demand-side context. Coverage spans three grains: asset-level inventories, national and multilateral statistics, and modelled profiles, delivered daily, weekly, or hourly - your call.

The workflow stacks four layers. Asset-level trackers count physical supply, led by the Global Solar Power Tracker with 103,940 utility-scale phases. Intergovernmental statistics benchmark countries, led by IRENASTAT across roughly 226 geographies. Forecast tools carry the forward case, led by the IEA Renewables Data Explorer to 2030. And supply-chain sources map who sells into the market. The ranked version of this shortlist lives on our renewable electricity data for market researchers page.

Anchor solar sizing on Global Energy Monitor's Global Solar Power Tracker. The February 2026 edition carries 103,940 utility-scale solar farm phases totaling 2,093 GWac operating and 2,247 GWac prospective, comprehensive above 1 MW for operating plants and 20 MW for pipeline phases. Distributed solar below 1 MW is aggregated for 31 countries rather than itemized - say so in your methodology note before a reviewer finds it. Phase-level fields cover developer, operator, owner, capacity, technology and start year, so the sizing model can stay in one table from first cut to final deck.

Wind studies live or die on the operating-versus-prospective split, because clients fund supply chains off projects that do not exist yet. The Global Wind Power Tracker, also a February 2026 GEM release, catalogs 32,227 facility phases across 166 countries and areas - every phase above 10 MW - with 1,129 GW operating against 2,656 GW prospective. Technology tags separate onshore, offshore and floating wind, which is what lets you answer an offshore-specific sizing question without buying a bespoke tracker. Status fields let you split operating from prospective capacity without hand-sorting the table.

Date-stamp any pipeline figure you quote and name the edition it came from; a mid-year deck citing 'current' capacity from an older snapshot is the most common review comment this industry generates.

Benchmarking chapters need one consistent methodology across markets, not stitched national statistics. IRENA's IRENASTAT query tool is the canonical base: electricity capacity and generation by country, technology and grid connection from 2000 onward, covering roughly 226 geographies, with generation running through 2025. Quote IRENA as the source in client-facing charts.

Three companions round out the comparison layer. The World Bank's EG.ELC.RNEW.ZS indicator measures renewable electricity output as a percentage of total output for about 266 economies annually from 1990 to 2021 - see the World Bank dataset. Our World in Data's master repository packs about 130 energy-mix indicators into one machine-readable table with world aggregates back to 1900 - see OWID Energy Data. For citation-ready visuals rather than raw modelling, the OWID renewables hub pairs interactive share charts with the underlying series.

Forward-looking slides need a forecast with a defensible methodology note attached. The IEA Renewables Data Explorer publishes historical series from 2000 alongside main-case and accelerated-case projections to 2030 across electricity, heat and renewable fuels, covering world plus roughly 76 regions, aggregates and countries. The companion Progress Tracker shows which countries are ahead of or behind their own deployment targets, which is the slide reviewers ask for first.

Pair the Explorer with Eurostat's science, technology and innovation statistics when a study must explain innovation capacity behind the growth curve: R&D expenditure (GERD) series run from the mid-1990s to 2024 and HRST personnel series span 2008-2025.

Competitive chapters need firm-level signals rather than country aggregates. The US Census Bureau's Business Formation Statistics expose weekly, monthly and annual business applications with NAICS industry detail, including high-propensity filings - useful for spotting newly formed energy-project developers at state and county level. The January 2026 release is the current edition.

On the buyer side, three sources describe the research and consulting industry itself. Consultancy.org profiles more than 600 partner consultancies across 100+ countries alongside a daily news flow. The ESOMAR Directory lists thousands of research organizations searchable by country and capability. Forbes' America's Best Management Consulting Firms awarded star ratings to 183 firms across roughly 930 category awards in its March 2026 edition. All three are directory-style rather than statistical, so treat counts as directional and always name the edition a headcount came from.

Ranking by persona relevance first and Datadory quality score second puts the two GEM trackers and IRENASTAT at the top: all three score quality 9 and relevance 3 for this persona, and all three pair wide geography with multi-decade history. The table below is the extraction-friendly summary of the stack described above.

Standardize attribution once and every chart gets easier to defend. Name the dataset, the publisher and the edition in each exhibit footer - 'Global Solar Power Tracker, Global Energy Monitor, February 2026 edition' is the pattern to copy. Where an extract blends records contributed by more than one party, credit both in the methodology note rather than burying the second one. For national statistics, cite the statistical office by name even when the figures travel inside your own model, and date-stamp the edition so a reviewer can reproduce the number a quarter later.

Our renewable electricity data hub ranks every option by quality, and each dataset page carries the field dictionary and sample rows you need to write that methodology note.

Start with the pillar guide, then go narrower by question type. The renewable electricity data guide covers the full 17-dataset landscape end to end. For sizing workflows specifically, see how to build a global solar farm database from the GEM release, how to pull hourly wind generation data for Europe, and where offshore wind project pipeline data comes from. The renewable electricity data hub keeps the ranked catalog view current.