

India has become one of Oracle’s fastest-growing markets as more enterprises move their operations to the cloud. The company’s cloud applications (SaaS) business in India has expanded at twice the industry average, driven by surging demand for its AI-powered enterprise resource planning (ERP), human capital management (HCM) and customer experience (CX) offerings.
“We recorded 60% year-on-year (YoY) growth in our cloud applications business in India. The SaaS market is growing at about 30%, as per analysts,” Shailesh Singla, senior director of applications business at Oracle India, said during a media briefing at Oracle AI World 2025. “This clearly shows that we are dominating the space, capturing the market and creating strong momentum across industries.”
He shared that growth was led by three key industry verticals—BFSI, healthcare and IT/ITeS—each recording 100% YoY growth.
“BFSI has always been an area of strength for us, and the momentum continues. We are partnering with one or two NBFCs every month,” he said, adding that healthcare clients such as Fortis Healthcare, Apollo Hospitals and Narayana Hrudayalaya are among Oracle Fusion users.
In terms of product performance, Singla said the CX business continued its 100% YoY growth momentum. “The primary pull factor is coming from the CX Unity bundle, which includes Customer 360, customer data platform (CDP) and Responsys. We had an iconic win with RBL Bank in Q1 and a successful implementation with the income tax department,” he said.
The ERP segment grew 50% YoY, driven primarily by demand from high-tech and manufacturing sectors. Meanwhile, the HCM vertical also saw 100% growth, supported by large enterprise partnerships.
Singla said Oracle’s partnerships with major conglomerates such as the Tata and Adani groups have been key drivers of the company’s growth in the human resources segment.
Oracle Bets Big on AI and Multi-Cloud Expansion in India
Besides SaaS applications, Oracle Cloud Infrastructure (OCI) is emerging as one of the company’s strongest growth engines, with its AI-powered capabilities and multi-cloud strategy driving rapid adoption in India, according to Premalakshmi PR, vice president and head of technology cloud at Oracle India.
She added that Oracle’s AI strategy extends across every layer of its stack, from infrastructure to data to networking.
The cloud computing service is seeing strong momentum in India. “OCI has been driving almost 65% growth in bookings, contributing significantly to revenue and consumption,” Premalakshmi said. “We’re acquiring over 40 new customer logos every quarter—about 175 to 180 in the last year.”
Roughly half of these new workloads are cloud-native, while the other half are tied to Oracle databases and services. Banking and financial services remain Oracle’s largest vertical, contributing 32% of OCI revenue, followed by IT and professional services (28%) and public sector (12%).
She also shared that Indian customers are leveraging OCI for GenAI workloads. “Convin AI, a contact centre startup, uses OCI’s GenAI capabilities to train large language models and provide 100% quality assurance for customer service,” Premlakshmi revealed.
Similarly, TVS Credit runs its in-house LLM on OCI to expedite loan processing and credit scoring. “They have been a long-time customer and continue to grow with us,” she added.
Other key customers include Federal Bank, South Indian Bank, Tata Motors, Muthoot Finance and Unico. In the public sector, Oracle has partnered with the rural development ministry, the Agriculture Insurance Company of India and IFFCO.
AI Infra and Multi-cloud
Oracle plans to strengthen its multi-cloud footprint in India through integrations with Microsoft Azure and Google Cloud Platform. “We are launching DB@Azure and DB@Google Cloud Platform very shortly in India,” she said. “This will create another leap of momentum, helping customers deploy workloads where they want.”
She added that Oracle’s ongoing partnerships with NVIDIA and AMD are strengthening its AI infrastructure. “We are building Zettascale data centres and are the first hyperscaler to make AMD processors and GPUs publicly available,” she said. “This enables customers to run large language models or foundation models at lower costs while maintaining reliability and efficiency.”
Focus on Data and Enterprise AI
At the data layer, Oracle announced new capabilities, including the AI Data Platform, Autonomous AI Data Lakehouse, Oracle Database 26ai, and vector search features.
“As Oracle, we have been custodians of mission-critical data for decades,” Premalakshmi said. “That gives us an edge in understanding customer pain points. By bringing AI closer to enterprise data, applications and workflows, we help remove silos and drive better innovation and insight.”
Oracle also introduced Acceleron, its in-house networking innovation that addresses bandwidth and latency limitations in cloud environments.
“Acceleron removes some of the bandwidth limitations that are there in other hyperscalers,” she said. “It provides a direct path for customers to move workloads with ultra-low latency, improving performance, security, and reliability.”
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