Actionable Reports for Strategic Diversification

Our comprehensive economic complexity reports, designed to illuminate pathways for growth and diversification. Using advanced metrics and machine learning, we help countries and region identify high-potential industries and make data-driven decisions for sustainable economic development.

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, Economic Complexity helps governments, businesses, and policymakers identify opportunities for economic development and diversification, unlocking new pathways for prosperity and competitiveness.

At Datawheel, we leverage this concept to create data-driven tools that empower decision-makers to design strategic solutions for economic transformation.

Relatedness
A measure of similarity between industries, identifying sectors aligned with existing strengths.

Diversification Frontier
Industries an economy can transition into next, guiding strategic growth and innovation.

Revealed Comparative Advantage (RCA)
A metric highlighting products where a country excels in global trade, revealing competitive strengths.

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.

  • 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.

  • 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.

  • 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

  • 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.

  • 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.

Advancing Knowledge

At Datawheel, 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.