Market volatility and tight labour conditions spur increased demand for timely macroeconomic data and productivity tools.
London, 5 July 2022 – Macrobond, a leading provider of global macroeconomic and financial data and analytical technology, has reported a 40% increase in sales in the second quarter compared with the same period in 2021 – the fifth consecutive quarter of record growth for the Swedish company – and 26% annual contract value (ACV) growth over the last 12 months.
Macrobond attributes the results to increased demand for macroeconomic and financial data amid recession fears and central bank tightening, as well as a heightened focus on productivity against a backdrop of wage inflation and a global talent shortage.
Tomas Liljeborg, CEO, Macrobond, said: “As the year has progressed, every company we speak to is facing the same challenges – booming demand for macro research but not enough people to do it. Macrobond’s integrated analytical tools enable them to dramatically increase the efficiency of their teams by eliminating duplication of effort, creating publication-ready documents, automating chart updates and even streaming content directly into downstream publication tools. As a result, our customers have been able to move away from legacy tools such as Excel – which creates silos, inefficiencies and key-man risk – as our products dramatically reduce all these issues.”
Howard Rees, Chief Commercial Officer, Macrobond, said: “In sales, momentum is everything, so to set yet another sales record is fantastic for everyone at Macrobond. One of the things that struck me when I joined was how much our users love the product and how happy they are to help us promote it. This past month, we have seen economists and strategists from some of the world’s biggest financial firms share their H2 outlooks for our blog or join our panel discussions. We have also seen strong interest in our partnership with Indicio to provide a complete forecasting solution that combines our comprehensive database of almost 300 million time series with their world-class data science technology.”