India's Agentic AI returns set to surge fivefold to $14.4 million as enterprises accelerate adoption

Indian Enterprises Lead Global AI Adoption Wave

Indian businesses are transitioning rapidly from AI experimentation to strategic implementation, establishing themselves as global frontrunners in enterprise-wide AI adoption in India, according to a comprehensive SAP study. The research, part of the Value of AI report 2026 conducted in partnership with Oxford Economics, surveyed 2,600 business leaders across 13 countries, including 200 respondents from India 1

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. India now ranks second worldwide in strategic approaches to AI investment, with organizations planning to invest $25.9 million in AI initiatives 2

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Agentic AI Returns Projected to Skyrocket

The most striking finding reveals that agentic AI returns in India are projected to grow fivefold to $14.4 million, marking a significant leap in value creation 1

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. These autonomous AI systems are capable of independently making decisions, planning multi-step actions, and executing tasks to achieve specific goals without requiring constant human prompts. AI spending is expected to rise 45% over the next two years, reflecting strong organizational commitment to scaling these technologies 2

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. Currently, 52% of businesses report a clear and shared understanding of agentic AI across their organization, while 67% are actively piloting agentic use cases 2

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Strategic AI Implementation Gains Momentum

About 71% of Indian businesses have defined AI strategies that align with their business goals, demonstrating a mature approach to technology integration 1

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. AI currently supports 33% of business tasks, with levels expected to rise to 51% over the next two years. Furthermore, end-to-end AI adoption is expected to more than double to 40% within the next two years, while 55% of organizations have employed dedicated AI leaders to scale adoption—the highest globally 2

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. About 74% of businesses are satisfied with current AI returns, with value creation emerging as a key measure of success .

Building the Autonomous Enterprise

Manos Raptopoulos, Global President of Customer Success at SAP, emphasized that "AI is the backbone of the autonomous enterprise," noting that SAP's AI is grounded in deep industry context and rich business semantics 1

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. As embedded intelligence becomes core to operations, organizations become more adaptive, resilient, and future-ready. Leading Indian enterprises are already demonstrating this shift: PI Industries is leveraging SAP Business Transformation Management and Joule for Consultants and Developers while exploring agentic AI, UPL Ltd. is harnessing SAP Business AI across finance, HR, supply chain, and IT to advance operational excellence, and Parle Products has embarked on becoming a data-driven, cloud-first enterprise 2

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Data Readiness and Workforce Challenges

India leads in AI data readiness growth, with 63% of organizations now data ready for AI, up from 42% last year—marking the highest year-on-year growth globally 2

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. About 78% of business leaders believe data availability and data quality are critical to AI-driven decision-making. However, challenges persist: 76% of organizations face issues with incomplete data, while 67% struggle with low-quality data [2](https://cxotoday.com/research/indias-agentic-ai-returns-projected-to-skyrocket 5x-to-14-4-million-says-sap/). Almost 8 in 10 organizations are not convinced their upskilling can keep pace with AI advancements, and 80% agree that maximizing AI value requires workforce transformation beyond upskilling 2

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. Additionally, 66% believe soft skills are a core job requirement in an AI-driven workplace, highlighting upskilling gaps that need attention. As 85% of organizations believe agentic AI has moderate-to-very high potential to transform their business, addressing these data and talent challenges will be critical for sustaining India's leadership position in the global AI landscape.