By Mousume Roy, APAC Reporter, HCL Technologies Ltd.


Cloud computing is growing from being a disruptor to the go-to strategy for IT. The explosive growth and adoption of cloud computing is a result of companies prioritizing flexibility, agility, and new sources of competitive advantage. Accelerated by the pandemic, organizations are going digital by leveraging new-age applications built on cloud delivery models. Cloud Computing Market Research report predicts that the Global Cloud Computing Market size is expected to reach $456.05 billion in 2022, and is projected to grow at a CAGR 15.14% to reach $923.46 billion by 2027.

The transformative effects of cloud computing are moving into its next phase with new cloud models such as Infrastructure-as-a-Service (IaaS), Platform-as-a-service (PaaS), Containers-as-a-Service (CaaS), Functions-as-a-Service (FaaS), and even Anything-as-a-Service (XaaS) gaining traction.

Siki Giunta, Exec. VP & Head – #HCLCloudSmart Offerings Strategy & Industry Cloud Consulting said: “Cloud is a competitive imperative for enterprises to operate and scale at a breakneck speed. They are innovating faster, creating a richer customer experience, gaining fresh insights from data, and generating new revenue streams—all because of cloud.”

“New trends like edge, serverless computing and emerging tech (AI, ML, IoT, XR, 5G) and their combinatorial effect have the ability to drive technological leaps quickly—enabling businesses to run more efficiently and get more value from their ecosystem partnerships”, added Giunta.

Cloud Security – SASE and CDR

While cloud has become ubiquitous, it has also  become a target for cybercriminals. Accelerated public cloud adoption and the boom of cloud services have increased the value of attacking an organizations’ cloud infrastructures. According to the Verizon Data Breach Investigations Report (DBIR), cloud security breaches have surpassed on-premise breaches for the first time in history.

Cloud computing and its multiple service models have enabled businesses to move beyond on-prem IT infrastructure for enhanced storage and work process flow. Despite the obvious benefits of adopting the cloud to transform business outcomes, security and regulatory compliance risks remain top priorities during cloud migrations.

The current cloud trends, such as cloud-based Secure Access Service Edge (SASE) and Cloud Disaster Recovery (CDR) solutions, address cloud security and compliance risks, and will help increase cloud adoption.

According to Gartner, “SASE combines network security functions (such as SWG, CASB, FWaaS, and Zero Trust), with WAN capabilities (i.e., SDWAN) to support the dynamic, secure access needs of organizations. These capabilities are delivered primarily aaS and based upon the identity of the entity, real-time context, and security/compliance policies.”

Alternatively, Cloud Disaster Recovery (CDR) combines strategies and services intended to back up data, applications, and other resources to public cloud or dedicated service providers.

Managing cloud security risks requires a more agile crisis management response focused on business and security alignment. Organizations need to prioritize a balance between business strategy, cyber security investments, and ongoing user education to improve cyber defense”, said Renju Varghese, Fellow & Chief Architect, Cybersecurity & GRC Services, HCL Technologies.

Artificial intelligence and machine learning

The global cloud AI market is growing significantly, due to an increasing adoption rate of cloud-based services and the demand for virtual assistants on these cloud platforms. The rise in hybrid cloud adoption is also developing opportunities for the cloud AI market. As a result, the Cloud AI Market is expected to reach USD 13.1 billion by 2026, registering a CAGR of 20.3%, from 2021 to 2026.

Similarly, the combination of machine learning’s analytical capabilities and scalability in a cloud computing environment helps drive transformational changes.

According to Global Data Lakes Industry report, the cloud ML market has the potential to reach $13 billion by 2025. This exponential growth is a testament to the growing confidence among businesses in cloud-based ML technology to further speed up their AI projects.

AI’s emerging trends, such as creative algorithms and language modelling, are complemented by cloud computing and are likely to play a crucial role in delivering these services to users.

Cloud-native apps, edge, and serverless computing

Cloud-native applications, edge, and serverless computing are enabling businesses to think beyond the boundaries of on-premise. The uptick in cloud adoption have also given rise to more cloud-native apps, providing agility for businesses to attain enterprise mobility, ensure 24/7 availability, increased connectivity, and scalability.

Driven by containers, DevOps, and Kubernetes, cloud-native apps, and edge computing have reached the next stage of evolution. Kubernetes, a container-orchestration system, helps deploy, scale, and manage cloud-native applications without hassle. By following a Continuous Integration and Continuous Deployment approach, Kubernetes and container-based apps ensure that cloud-native applications are up and running with the utmost efficiency.