Actionable Reports guiding Strategic Diversification
Using advanced metrics and machine learning, we help countries and regions identify high-potential industries and design pathways for growth and diversification.
What is Economic Complexity?
Economic Complexity is a measure of the knowledge and capabilities embedded in a country's economy. It reflects how diversified and sophisticated an economy's industries and exports are. Economies with higher complexity are better positioned for sustainable growth, innovation, and resilience, as they can produce a wider range of advanced products.
By analyzing patterns of production and trade, this approach helps governments, businesses, and policymakers identify opportunities for economic development and diversification, unlocking new pathways for prosperity and competitiveness.
We leverage this approach for decision-makers to design strategic solutions for economic transformation.
Economic Intelligence, Globally Applied
Our reports span the globe, offering in-depth analysis and visualizations for economies worldwide. From national trends to regional dynamics, we provide actionable strategies to empower decision-makers in every corner of the world. Datawheel’s expertise ensures that no matter the location, our tools illuminate pathways to economic growth and diversification.
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In 2025, we partnered with the Mexican government to develop an econometric simulation that measured Mexico’s export potential under different tariff scenarios imposed by the U.S. on Chinese imports.
The model, powered by OEC data and machine learning, identified more than $100B in potential export gains for Mexico, particularly in electronics, automotive components, and industrial machinery. It also benchmarked Mexico’s position relative to key competitors, providing strategic insights to guide industrial policy and investment promotion in high-complexity sectors.
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In 2025, we worked with Indonesia’s Ministry of Trade to develop a simulation of trade opportunities under shifting global tariff scenarios.
Using an econometric model powered by OEC data, we estimated Indonesia’s potential to strengthen its position in key export sectors; including textiles, footwear, and light electronics in the context of trade realignments. The analysis benchmarked Indonesia’s outlook alongside regional peers and offered data-driven guidance to inform strategic trade and industrial policy.
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In 2022, we partnered with the Department of Economic Dev. of Abu Dhabi to deliver a strategic economic complexity analysis. Using advanced data visualization and AI-driven methods, the report benchmarked Abu Dhabi’s productive structure against global and regional peers, highlighting its potential to transition from resource dependence to a more knowledge-intensive economy.
The study identified promising diversification opportunities and offered data-backed guidance to support long-term, inclusive, and sustainable growth
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In 2024, we worked with the Asian Development Bank to deliver a regional diagnostic for the South Caucasus. The analysis benchmarked the region’s economic sophistication and identified strategic sectors for diversification based on complexity, inequality, and emissions metrics. By leveraging intra-regional synergies and visualizing diversification frontiers, the report offered policy recommendations to help the region transition from resource-dependence toward inclusive, knowledge-driven growth.
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In 2025, we supported Mozambique’s Ministry of Economy and Finance with an in-depth diagnostic using the economic complexity framework.
Through a combination of machine learning and data visualization, the report identified strategic pathways for diversification beyond extractive industries. It benchmarked Mozambique against global peers, highlighted opportunities to move up the value chain in light manufacturing and agro-industrial sectors, and offered evidence-based recommendations to support inclusive, green, and sustained growth.
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in 2025, we supported Rwanda’s Ministry of Trade and Industry with an Economic Complexity analysis to explore strategic paths for long-term diversification.
The report benchmarked Rwanda’s productive capabilities, highlighted potential value chain upgrades in sectors such as agro-processing and light manufacturing, and provided policy guidance to enhance economic sophistication. Using global comparisons and machine learning tools, the study offered actionable insights for Rwanda’s transition toward a more knowledge-intensive and export-oriented economy.
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We collaborated with Costa Rica’s Ministry of Foreign Trade to conduct an Economic Complexity analysis aimed at strengthening the country’s productive transformation. The study benchmarked Costa Rica’s export sophistication and identified 150 products with high potential to enhance its Economic Complexity Index (ECI), spanning ramp-up, accelerator, and leapfrog trajectories.
By mapping regional disparities and sectoral capacities, the report provided a data-driven roadmap to upgrade value chains, foster knowledge-intensive industries, and transform export enclaves into engines of inclusive growth.
Advancing Knowledge
Our commitment to advancing the field of economic analysis goes beyond creating innovative tools. Our team actively contributes to academic research, publishing groundbreaking studies that push the boundaries of knowledge and shape the future of economic understanding.
In close partnership with the Center for Collective Learning (CCL), we collaborate on pioneering research and share a dedication to exploring complex systems and their impact on economies. By bridging theory and practice, we ensure our solutions are rooted in cutting-edge insights, empowering our partners to make informed, transformative decisions.