AI Adoption Accelerates Across India

As AI adoption accelerates across India, 54% of IT leaders cite security gaps as a major hurdle, according to the Hitachi Vantara State of Data Infrastructure Survey. 

Concerns include AI-enabled cyber threats (45%) and data recovery issues after ransomware attacks (35%), highlighting the urgent need for stronger data governance and cybersecurity measures.

Despite AI’s rapid expansion, Indian enterprises struggle with aligning data quality, sustainability, and resilience to meet its growing demands. 58% of IT leaders recognize that AI success depends on high-quality data, yet concerns persist about data adequacy (43%), ethical risks (37%), and workforce readiness (36%)**. These gaps threaten the long-term scalability and impact of AI-driven innovations.

AI's expansion has significantly increased data storage needs, with Indian businesses expecting data volumes to surge by 129% by 2026. However, integrating new AI systems with legacy infrastructure remains a challenge. 21% of IT leaders cite inadequate data infrastructure as a barrier to sustainable AI deployment, limiting the efficiency of AI applications.

A disconnect exists between AI’s potential and actual implementation strategies. While 58% recognize data quality as essential for AI, only 43% actively prioritize high-quality training data, suggesting a lack of emphasis on foundational data governance. Without this focus, AI's effectiveness could be severely compromised.

Unstructured data, making up 70% of India’s data, presents accessibility and quality issues. Only 8% of Indian enterprises actively experiment with AI across all projects, while 5% use controlled environments to test models before full deployment. This cautious approach reflects uncertainties in AI infrastructure readiness.

Sustainability remains a key concern, with 39% of Indian businesses struggling with environmentally responsible AI implementation. Meanwhile, 36% face an AI skills gap, forcing reliance on third-party expertise for data processing and AI development. These challenges highlight the need for strategic infrastructure investments.

To bridge these gaps, modern data infrastructure solutions are crucial. Hitachi Vantara’s sustainable AI strategies focus on enhancing data quality, reducing energy consumption, and strengthening AI deployment frameworks, ensuring Indian enterprises can scale AI securely and efficiently.