Large-scale cloud adoption has accelerated India’s innovation drive, and organizations are significantly investing in their cloud offerings to sustain this momentum, says recent report from EY-FICCI. The EY-FICCI cloud report is titled ‘India’s cloud and data revolution: From adoption to enabling innovation’. According to the report, the current wave of cloud adoption goes beyond migration and emphasizes leveraging the cloud’s capabilities to optimize processes, enhance customer experiences, and unlock new revenue streams.
Commenting on the findings of the report, Abhinav Johri, Partner, Technology Consulting, EY India, said, “Leadership in the age of the cloud is about more than just technology; it’s about unlocking the full potential of innovation, efficiency, and growth. With 80% of Indian organizations adopting the cloud to enable a range of business capabilities such as intelligent applications with Gen AI, native functional & data products, and highly intuitive orchestration platforms the imperative is clear: embrace the cloud not merely as a tool, but as an enabler of transformative change”
India becoming a global cloud hub
Talking about India’s role, the report says that the country is evolving into a hub for cloud-first companies, with major cloud regions located in Mumbai, Chennai, Hyderabad, and Pune. Indian GCCs (Global Capability Centers) have become cloud engineering hubs for global companies. India has become a potentially significant market for cloud service providers (CSPs). CSPs have rapidly established new cloud regions in India, expanding the array of cloud-native services available to Indian enterprises.
GenAI success to be driven by cloud and data
India is currently experiencing a golden era of disruptive technologies in data and technology. Leading enterprises that were early adopters of cloud computing have shifted from using the cloud primarily for cost optimization and operational efficiency to leveraging cloud services for building their next-generation digital platforms. The broader objectives that companies aim to achieve through cloud adoption include data modernization, application modernization, agility, business growth, and innovation.
The report adds that the success of Generative AI is closely tied to cloud computing, as it relies on large datasets and robust computing infrastructure, both of which are inherent features of cloud technology. The adoption of Generative AI is expected to lead to increased data usage and greater consumption of cloud resources. The advantages of using the cloud for Generative AI, include scalability, access to pre-trained models, and simplified integration into existing applications. However, it is imperative a strong framework for responsible Generative AI use, considering potential concerns such as data leakage and biased output. Striking the right balance between sector-agnostic guidelines and sector-specific considerations is crucial.
Cloud to drive data infrastructure modernisation
The survey reveals that organizations are increasingly utilizing the cloud for data infrastructure modernization, deriving benefits from their data, and gaining new insights. Furthermore, organizations are looking at achieving business growth, fostering increased collaboration, enhancing workplace productivity, ensuring security, and safeguarding data privacy.
The survey states that 49% of organizations adopt the cloud to modernize their data infrastructure, with larger organizations leading at 55%. Additionally, 78% of organizations are implementing cloud strategies for app modernization, and 40% of organizations are using the cloud for collaboration and workforce productivity.
Cloud for data monetisation and innovation
The exponential growth in data footprints of organizations has necessitated the exploration of newer data monetization techniques. Shifting data workloads to the cloud offers various advantages, with primary motivators including data monetization (63%), developer productivity (51%), and innovation and incubation (43%). The survey results also indicate that cloud adoption helps enable data and analytics capabilities for 80% of organizations.
Commenting on the findings of the report, Abhinav Johri, Partner, Technology Consulting, EY India, said, “Leadership in the age of the cloud is about more than just technology; it’s about unlocking the full potential of innovation, efficiency, and growth. With 80% of Indian organizations adopting the cloud to enable a range of business capabilities such as intelligent applications with Gen AI, native functional & data products, and highly intuitive orchestration platforms the imperative is clear: embrace the cloud not merely as a tool, but as an enabler of transformative change”
India becoming a global cloud hub
Talking about India’s role, the report says that the country is evolving into a hub for cloud-first companies, with major cloud regions located in Mumbai, Chennai, Hyderabad, and Pune. Indian GCCs (Global Capability Centers) have become cloud engineering hubs for global companies. India has become a potentially significant market for cloud service providers (CSPs). CSPs have rapidly established new cloud regions in India, expanding the array of cloud-native services available to Indian enterprises.
GenAI success to be driven by cloud and data
India is currently experiencing a golden era of disruptive technologies in data and technology. Leading enterprises that were early adopters of cloud computing have shifted from using the cloud primarily for cost optimization and operational efficiency to leveraging cloud services for building their next-generation digital platforms. The broader objectives that companies aim to achieve through cloud adoption include data modernization, application modernization, agility, business growth, and innovation.
The report adds that the success of Generative AI is closely tied to cloud computing, as it relies on large datasets and robust computing infrastructure, both of which are inherent features of cloud technology. The adoption of Generative AI is expected to lead to increased data usage and greater consumption of cloud resources. The advantages of using the cloud for Generative AI, include scalability, access to pre-trained models, and simplified integration into existing applications. However, it is imperative a strong framework for responsible Generative AI use, considering potential concerns such as data leakage and biased output. Striking the right balance between sector-agnostic guidelines and sector-specific considerations is crucial.
Cloud to drive data infrastructure modernisation
The survey reveals that organizations are increasingly utilizing the cloud for data infrastructure modernization, deriving benefits from their data, and gaining new insights. Furthermore, organizations are looking at achieving business growth, fostering increased collaboration, enhancing workplace productivity, ensuring security, and safeguarding data privacy.
The survey states that 49% of organizations adopt the cloud to modernize their data infrastructure, with larger organizations leading at 55%. Additionally, 78% of organizations are implementing cloud strategies for app modernization, and 40% of organizations are using the cloud for collaboration and workforce productivity.
Cloud for data monetisation and innovation
The exponential growth in data footprints of organizations has necessitated the exploration of newer data monetization techniques. Shifting data workloads to the cloud offers various advantages, with primary motivators including data monetization (63%), developer productivity (51%), and innovation and incubation (43%). The survey results also indicate that cloud adoption helps enable data and analytics capabilities for 80% of organizations.
