Market Forecasts by Statista
40 countries, 400 industries, 2010 to 2022
Comparable forecasts for your business case
The goal of Statista’s market model is to estimate the development of industries in different countries across the world. To improve the usability of the forecasts for our clients, Statista applies a standardized model for all countries and industries. Our focus lies on revenue trends for different industries up to 2022. Forecast modeling is conducted annually, based on the latest available data. Each market prognosis will be made immediately available upon completion on Statista.com.
Up to 400 industries per country
Up to 400 industries from each country are comprehensively analyzed by our experts. The industrial classification is based on renowned classification systems, e.g. the North American Industry Classification System (NAICS) and the Statistical Classification of Economic Activities in the European Community (NACE Rev. 2). The prognoses are conducted by applying the classification codes with up to six levels of sub-divisions, depending on the corresponding data situation.
Data on more than 40 countries
The prognosis model is applied to more than 40 countries.
A detailed and standardized model
The historical data for every industry were gathered from the national statistical offices of every country.
The future trends of national industries are based in part on economic trends in each country and in part on industry-specific trends. The Statista model for each country’s development is derived from data provided by the World Economic Outlook Database (WEO) of the International Monetary Fund, the prognoses of the OECD and the European Commission’s Business Confidence Surveys.
The development of industries is based on historical developments within each industry as well as major drivers in the respective country. Statista has identified crucial market drivers, which serve as a basis for reliable market data updates and the modeling of future industry trends. Depending on the availability of historical data and on the individual drivers, we develop regression models and update trends accordingly. Most important statistical series have been checked for plausibility and approved by experts.
Further information about the methodology is available for download here.
Experienced experts from all industries
Dr. Friedrich Schwandt
Ann-Kristin Hamke is the Director of Strategic Market Insights at Statista and oversees the production of exclusive Statista content.
After graduating in Business Mathematics, she worked as a consultant with the Boston Consulting Group and contributed to the build-up of the German online fashion retailer About You as a project manager and by heading the business intelligence department.
Fatemeh Zendehrouhkermani studied Mathematical Modeling in Engineering at the University of Hamburg and the University of L’Aquila in Italy. She holds a master’s degree in Industrial Mathematics from the University of Hamburg with a specialization in the optimization of complex systems. During her studies, she concentrated on the numerical treatments of partial differential equations as well as on numerical methods for the optimization of complex systems.
Petar Sapun studied Financial Mathematics at the University of Novi Sad in Serbia and Mathematical Modelling at the University of L‘Aquila in Italy. Before joining Statista, he worked as a researcher and lecturer in optimization and numerical analysis at the University of Hamburg.
His main responsibilities are the set-up and extension of the Mobility Market Outlook as well as the improvement of forecasting methods within the Consumer Market Outlook.
Volker Staffa studied Business with a focus on Logistics and Supply Chain Management in Hamburg and Rhode Island. He has been writing and drafting Industry Reports for Statista since 2012.
Before working as an analyst at Statista, he gathered experience in the aviation industry. He worked for the German Air Traffic Control in the business development department, where he modeled and analyzed operation processes, and in quality management at Lufthansa Technik.
Tytti Mälkki holds a master’s degree in International Business and Politics from Copenhagen Business School and specialized in econometrics. She gained insight into globalized markets by studying international business in São Paulo, Brazil and through MBA courses at Beijing University in China.
Before joining Statista, she built up experience by working for trade associations, in consulting and marketing communications.
Oliver Sánchez studied International Business and Local Comparative Development in Germany, Italy, Hungary and Mexico. He joined Statista in summer 2018, following numerous years in the pharmaceutical and automotive industries, where he gathered experience working in the market intelligence and strategy departments.
All prognosis models take the development of historical values into account. Unpredictable events like financial crises or wars, which can crucially influence the development of certain industries or even entire countries, are not considered. The models, originally created in 2014, are subject to a continuous improvement process.
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