US EditionGartner Says Earth Intelligence Is a $20 Billion New Revenue Growth Opportunity for Technology and ...
STAMFORD, CONNECTICUT, JUL 9 – Private enterprises are projected to lead Earth intelligence spending by 2030, accounting for over 50% of the market, with annual revenue expected to exceed $4.2 billion, Gartner said.
- On July 9, 2025, Gartner forecasted that Earth intelligence will generate close to $20 billion in direct income for companies offering technology products and services by 2030.
- This growth follows a shift as Earth intelligence moves from government and military dominance to increased enterprise spending, rising from less than 15% in 2024 to over 50% by 2030.
- Earth intelligence centers on acquiring data from satellites and sensors, processing it with AI-driven analytics tailored to specific industries, and generating practical insights for various applications.
- Bill Ray, a leading analyst at Gartner, emphasized that success in the field of Earth intelligence will belong to those companies that rapidly create solutions capable of interpreting the vast volumes of unprocessed data they gather.
- The expected revenue increase and enterprise investment imply a major market opportunity driven by cheaper very low Earth orbit satellites and advances in data engineering for AI applications.
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Earth Intelligence to Unlock USD 20 Billion Opportunity for Tech Providers by 2030, Says Gartner
Get latest articles and stories on Business at LatestLY. Gartner defines Earth intelligence as the application of AI to Earth observation data to generate industry-specific insights. It involves collecting satellite and sensor data, transforming it using advanced analytics and domain-specific AI models, and delivering actionable intelligence to businesses. Business News | Earth Intelligence to Unlock USD 20 Billion Opportunity for Tech Providers…
Earth Intelligence to unlock USD 20 billion opportunity for tech providers by 2030, says Gartner - The Tribune
Gartner defines Earth intelligence as the application of AI to Earth observation data to generate industry-specific insights. It involves collecting satellite and sensor data, transforming it using advanced analytics and domain-specific AI models, and delivering actionable intelligence to businesses.
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