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WEF Report: Earth observation data could generate $3 trillion by 2030, slash emissions

EO data, which involves collecting, analyzing, and presenting information about Earth's systems through remote sensing technologies, has applications across sectors like agriculture, energy, and finance. This data provides valuable insights to enhance operations and mitigate environmental impact.

- New Delhi - UPDATED: May 7, 2024, 08:34 PM - 2 min read

A report from the World Economic Forum, produced in collaboration with Deloitte and supported by industry and climate leaders, highlights the immense economic potential of Earth observation (EO) data.

WEF Report: Earth observation data could generate $3 trillion by 2030, slash emissions


A report from the World Economic Forum, produced in collaboration with Deloitte and supported by industry and climate leaders, highlights the immense economic potential of Earth observation (EO) data.

 

By 2030, EO data could generate over USD 3 trillion in global economic benefits and help eliminate two gigatonnes of greenhouse gas emissions annually.

 

EO data, which involves collecting, analyzing, and presenting information about Earth's systems through remote sensing technologies, has applications across sectors like agriculture, energy, and finance.

 

This data provides valuable insights to enhance operations and mitigate environmental impact.

 

The report emphasizes EO data's role in driving economic growth and sustainability, benefiting sectors ranging from agriculture to finance.

 

Projections indicate a significant increase in the global value of EO data, potentially reaching over USD 700 billion by 2030 and contributing USD 3.8 trillion to global GDP.

 

The Asia Pacific region is expected to lead in capturing EO's value by 2030, potentially reaching USD 315 billion, with significant growth anticipated in Africa and South America.

 

Despite its potential, challenges such as limited awareness, talent shortages, and fragmented standards hinder widespread adoption of EO data.

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