Operations | Monitoring | ITSM | DevOps | Cloud

As the cloud computing industry continues to evolve in India, it's becoming increasingly important for organizations to understand the complexities and challenges associated with it. Last year, we released a whitepaper on the cost of cloud that gathered insights from over 500 industry professionals. While this helped us understand more about the rising cloud costs, complex billing models, and vendor lock-in within the UK, it was unclear how this differed for the Indian market.

As India emerges as a significant player in the global public cloud landscape, with its public cloud services market projected to reach $25.5 billion by 2028 at a CAGR of 24.3% for 2023-28, the country is witnessing a surge in tech events. This growth is mirrored in the live events market, which is experiencing a 15% YoY growth, fostering a stronger community and facilitating the exchange of ideas and innovation in the public cloud sector.

India’s digital economy is on a historic growth trajectory. According to the Digital Infrastructure Providers Association (DIPA), it’s projected to reach $1 trillion by the end of 2025, driven by rising internet penetration, data consumption, and cloud adoption.

To read more on the findings from this research, visit The Digital Sovereignty Revolution whitepaper by clicking here. For years, US tech giants have enjoyed near-unquestioned dominance over the global cloud market. However, this dominance is being challenged as trust in Big Tech begins to fracture. According to our latest whitepaper, "The Digital Sovereignty Revolution", the foundation of trust in Big Tech's infrastructure and services is cracking.

To read the full findings from this research, visit The Digital Sovereignty Revolution whitepaper by clicking here. As the digital landscape continues to evolve, one question is becoming increasingly pressing: are you in control of your digital future? With growing concerns around data sovereignty and the impact of geopolitical risks on cloud strategies, it's time to assess your organization's digital infrastructure.

We are in mid-2025, and teams across industries are rolling out large language models, or LLMs, to power everything from conversational agents to document understanding. However, getting them to run smoothly in production… That’s still a challenge. A working model isn’t just about putting it in a container and tossing it into a Kubernetes cluster.

With all the rapid advancements in machine learning and AI, it can feel like we’re constantly playing catch-up. Over the last two Civo Navigate conferences, Berlin 2024 and San Francisco 2025, Civo brought together leading experts to discuss the future of AI, machine learning, and the growing challenges and opportunities for developers and businesses.

Earlier this year, I spent a few weeks in India, visiting universities, speaking at meetups, and catching up with founders. What stood out wasn’t just the excitement about AI, but the focus on what it can actually do today. The curiosity about GenAI and big-picture questions around AGI is there, but most conversations centered around real needs: learning faster, applying for jobs, and getting healthier.

Let’s be honest, most AI (Artificial Intelligence) tools today are relatively smart but not always super useful. You ask them to explain something, write an email, maybe generate some code, but the moment you want them to do something real, like schedule a meeting, file a bug report, or move stuff across your tools, they just stare blankly. That’s where MCP comes in. MCP stands for Model Context Protocol.

The AI chatbot market has grown exponentially since ChatGPT's launch in 2022, with millions of chatbots now in use. At a surface level, AI chatbots are a computer program that simulates human conversation with an end user (IBM). As the market continues to evolve, the differences in their approaches to data privacy, security, and user control have become increasingly important. This is particularly relevant for organizations seeking to leverage AI chatbots while ensuring the protection of sensitive data.