Geospatial AI and Employment Opportunities in India's Digital Economy

Authors

  • Dr. Sushant Das

Abstract

Geospatial Artificial Intelligence (GeoAI) is revolutionizing India's digital economy by enhancing geographic data analysis, automation, and decision-making. The integration of AI with Geographic Information Systems (GIS) is creating new employment opportunities across various sectors, including urban planning, agriculture, disaster management, and smart cities. AI-driven geospatial technologies enable efficient land-use mapping, environmental monitoring, and infrastructure development, fostering sustainable growth. As India advances in digital transformation, GeoAI is generating high-demand job roles such as geospatial analysts, AI-driven cartographers, and remote sensing specialists. Moreover, government initiatives like Digital India and Make in India are promoting AI-based skill development programs, ensuring a workforce equipped with GeoAI expertise. However, challenges such as data privacy, accessibility, and the digital divide must be addressed to maximize AI’s potential in geospatial employment.  This paper explores the impact of GeoAI on employment in India's digital economy, analysing trends, opportunities, and challenges. It highlights the need for policy reforms, industry-academia collaborations, and AI-driven training programs to bridge skill gaps and enhance job prospects. Ultimately, leveraging GeoAI can lead to a more efficient, data-driven workforce, accelerating India’s economic and technological progress. 

Key Words: Geospatial AI (GeoAI), Digital Economy, Geographic Information Systems (GIS), Artificial Intelligence in Employment, Remote Sensing and AI, Smart Cities and Urban Planning, AI-Driven Workforce Development.

Additional Files

Published

31-07-2025

How to Cite

1.
Dr. Sushant Das. Geospatial AI and Employment Opportunities in India’s Digital Economy. IJARMS [Internet]. 2025 Jul. 31 [cited 2025 Oct. 12];8(02):175-80. Available from: https://journal.ijarms.org/index.php/ijarms/article/view/806

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Section

Articles