Seven research areas structure the work. Each is studied through recurring surveys, market observation and aggregate analysis, and each contributes to the reporting agenda of the observatory.
How machinery inventory is distributed, presented and discovered across marketplaces, direct channels, dealer sites and broker networks.
How industrial machinery companies organise sales work, set channel priorities and respond to changing market conditions.
How pricing signals, lead economics, fee structures and commercial expectations vary across markets and segments.
How transport, financing, insurance, inspection, documentation and translation support machinery transactions.
How companies assess demand quality, time-to-sale, buyer intent and category-specific market conditions.
How language, logistics, verification, payments and distance shape cross-border industrial machinery trade.
How machinery companies are integrating AI into engineering, administration, sales workflows, software development, pricing, procurement and digital operations.
Participating in our current surveys is the most direct way to contribute evidence to the dataset.
Responses are analysed in aggregate. No individual company data is published.