The Value of AI Report 2025, commissioned by SAP with Oxford Economics, surveyed 1,600 senior business leaders across eight countries including 200 from India. It reports 93% of Indian organisations expect positive AI ROI within three years, with a reported average of 15% ROI in 2025 rising to a projected 31% within two years (SAP, Nov 24, 2025). Indian businesses invested an average US$31 million in AI in 2025, above the global average of US$26.7 million (SAP). On agentic AI, Indian businesses expect 7% ROI (approximately US$2.8 million) from AI agents in the next two years, with 85% rating agents as having moderate-to-high transformative potential (SAP). SAP CEO Christian Klein, during a June 2026 India visit, called India a future frontrunner in applying AI to industries such as manufacturing and finance (Economic Times). As vendor-commissioned research, these figures represent SAP-customer survey responses rather than independently benchmarked outcomes.
What happened
The Value of AI Report 2025, a SAP-commissioned study conducted with Oxford Economics, surveyed 1,600 senior business leaders across eight countries, including 200 respondents from India, and reports that 93% of Indian organisations expect positive returns on AI investments within three years (SAP, Nov 24, 2025). The report states Indian companies achieved a reported average AI return on investment of 15% in 2025 and project that ROI will rise to 31% within two years (SAP). SAP reports Indian organisations invested US$31 million in AI in 2025, exceeding the reported global average of US$26.7 million (SAP). Earlier SAP research found 96% of Indian midmarket businesses prioritise generative AI (SAP, Sep 13, 2024).
Agentic AI outlook
The same report projects Indian businesses will see 7% ROI (approximately US$2.8 million) from agentic AI in the next two years (SAP). 85% of Indian businesses rate AI agents as having moderate to high potential to transform operations, and 49% believe agentic AI will significantly influence their strategic planning within two years (SAP). The report also notes AI currently supports 23% of business tasks in India, rising to an expected 41% within two years (SAP).
Technical context
Editorial analysis: The SAP report emphasises investment across software, infrastructure, talent, and consulting, consistent with enterprise AI adoption patterns where spending shifts from pilots to production-grade systems. Organisations in comparable transitions typically increase investment in data engineering, MLOps, model monitoring, and governance to sustain ROI claims and integrate AI into mission-critical processes.
Context and significance
During a June 2026 India visit, SAP CEO Christian Klein said India has the talent, infrastructure, and government backing to become a leader in applying AI to industries such as manufacturing and finance, with differentiation coming from industry-specific use cases rather than foundation models (Economic Times; NewsBytes, Jun 10, 2026). Editorial analysis: When enterprises prioritise industry-specific AI, demand typically grows for horizontal capabilities - data integration, model explainability, and domain fine-tuning - rather than only acquiring the largest foundation models.
Adoption challenges
The SAP report also highlights barriers: 48% of Indian organisations report piecemeal AI investments, 64% cite incomplete AI training as a skills barrier, and 67% remain concerned about shadow AI with risks spanning inaccurate outputs (63%), data leakage (53%), and compliance violations (34%) (SAP). 42% report adequate data readiness, while over half are unsure about sharing data internally or with external partners (SAP).
What to watch
Editorial analysis: Practitioners and vendors should track three indicators to assess whether reported expectations translate into durable change:
- •Adoption of production MLOps tools and model-monitoring platforms across large Indian enterprises;
- •Growth in vendor-led industry solutions combining domain data with AI workflows, especially in manufacturing, supply chain, finance, and HR;
- •Talent shifts in hiring for data engineering, site reliability, and AI governance roles.
Source note
The numeric claims above draw on SAP-commissioned vendor research (SAP / Oxford Economics, Nov 2025 and Sep 2024); they represent self-reported survey responses, not independently audited outcomes. The Economic Times interview provides Christian Klein's perspective on India's industry-level AI opportunity.
Scoring Rationale #
This is vendor-commissioned research (SAP + Oxford Economics) reporting self-assessed ROI and adoption intent figures from 200 Indian business leaders. The data is directionally useful for practitioners tracking India's enterprise AI market -- particularly the agentic AI projections -- but vendor sponsorship and self-reported metrics limit independent weight. Solid industry-applications coverage without frontier or regulatory significance.
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