It’s easy to forget that the new AI revolution heralded by ChatGPT and OpenAI kickstarted just two years ago and has been quickly embraced by both businesses and consumers. But unknown to many is India’s meteoric rise to become a global leader in AI adoption and it is one to watch: what happens in the Indian market in 2025 will set the scene for the rest to follow.
Atlassian’s but was considered to have the greatest potential thanks to its data pools.
With initiatives like Digital India further encouraging digital inclusion across its massive population, the country generates an unparalleled wealth of data, providing fertile ground for AI applications.
India also has the skills and infrastructure needed to succeed with AI. Like everywhere else, there is still a , Managing Director in India, Quest, points towards recent findings from Quest’s after the proof-of-concept-stage, and organisations should be focused on scalability early on to avoid this risk.
Governance at the state level
Looking more broadly from a national lens, India’s push towards digital transformation further highlights the growing importance and focus being placed on data governance. Key drivers include:
- Regulatory frameworks: The development of the Personal Data Protection Bill, data localisation norms, and sector-specific guidelines ensures data use aligns with national priorities and international standards.
- Economic drivers: Data is now seen as a critical economic asset. With the rise of digital payments platforms like UPI and innovations in fintech, businesses process vast amounts of personal and financial data, requiring stringent governance mechanisms.
- Digital inclusion initiatives: The Digital India programme aims to empower citizens and businesses, creating a framework for managing and leveraging data responsibly across sectors such as healthcare, education, and agriculture.
Data readiness is key to de-risking AI adoption
In a nutshell, effectively embracing AI requires companies to prioritise data readiness by investing in systems and processes to clean, manage, and ensure data accessibility for AI applications.
“Establishing strong governance frameworks is equally essential as it fosters compliance, accountability, and trustworthiness in AI implementations,” adds George. “Organisations should also democratise data access, allowing broader access across teams to encourage innovation and facilitate faster decision-making, ultimately enabling the scalable application of AI.”
Additionally, businesses must focus on agility and adaptability, remaining prepared to swiftly embrace new tools, techniques, and trends as AI technology continues to evolve
India has every opportunity to turn 2025 into a milestone year for enterprise-wide AI implementation.
“The rigours being applied to AI are going to be more substantial than in previous years, but those businesses that can harness this potential within the regulatory framework will not just keep pace but set the standards for AI success worldwide,” concludes George.
For the latest insights on current data intelligence initiatives and planned investments by some of the largest organisations in the world, visit The 2024 State of Data Intelligence report.
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