Cloud-based connectivity has witnessed considerable uptake in recent years owing to its capacity to provide computing resources that are flexible, scalable and cost-effective. With cloud technology, enterprises can easily access and leverage services such as storage, processing, networking, and analytics on demand, without the need to purchase, install, or maintain hardware or software. This results in substantial cost savings for businesses. The technology also allows enterprises to share resources across multiple applications and heterogeneous devices. Additionally, cloud computing allows companies to scale their resources up or down as needed, which is particularly beneficial for industries with varying levels of demand. Furthermore, cloud providers regularly introduce new features and updates, enabling companies to leverage the latest technologies without incurring additional investments.
Given that cloud-based connectivity has transformed the way organisations operate, the global cloud computing market is expected to witness considerable growth in the next few years. According to industry estimates, the market is likely to be worth $2,432.87 billion by 2030, up from $677.95 billion in 2023.
Emerging trends in cloud-based connectivity
The cloud computing landscape is in constant flux, witnessing the emergence of several new trends in terms of deployment models and technological advancements.
- Evolving patterns in conventional cloud platforms: Infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) have emerged as the most popular modes of cloud deployment. IaaS enables organisations to outsource their entire infrastructure, including servers, storage, and networking, to a cloud provider. Meanwhile, PaaS offers a development environment for building, testing and deploying applications without the need for complex infrastructure management. SaaS delivers software applications over the internet on a subscription basis. While SaaS offers several benefits to enterprises, some factors are inhibiting its intake. For instance, SaaS often requires long-term contracts and predictable cash flow, limits access to raw data, and grants little control over security parameters. To this end, containers, particularly docker containers, have gained popularity as they address these issues by providing resource isolation and allowing for multiple virtual operating environments. Container-as-a-Service (CaaS) is therefore emerging as an alternative to SaaS, offering customers ownership of their code, unlimited data access, and full control over application availability, performance and security.
- Growing popularity of private cloud computing: Private cloud computing, also referred to as on-premise cloud computing, refers to the deployment of cloud computing infrastructure within an organisation’s own premises or data centres. Unlike public cloud services that are provided by third-party vendors, on-premise cloud computing allows organisations to have complete control over their infrastructure, data and applications. This infrastructure is dedicated solely to the organisation and is not shared with other users or organisations. This mode of cloud computing offers several benefits, including enhanced data security, greater control over resources and customisation options, compliance with specific regulatory requirements, and the ability to leverage the existing IT investments and infrastructure. However, it also requires substantial upfront investment, ongoing maintenance and operational costs.
- Increasing adoption of edge computing to reduce network latency: Edge cloud has emerged as a critical trend in cloud-based connectivity. It involves deploying computation and storage solutions close to the data source, reducing long-distance communication, bandwidth usage, and latency. It can improve data transfer reduction to the cloud by up to 95 per cent, addressing security concerns and lowering data transmission costs. Edge computing is particularly advantageous for time-sensitive sectors, such as healthcare, autonomous vehicles, and smart cities, that cannot afford long delays in transmitting information from the source of data generation to the centralised computing system. Going forward, the increasing demand for real-time processing will drive several businesses to integrate edge elements into their core infrastructure. Consequently, the global edge computing market is projected to grow at a compound annual growth rate (CAGR) of 38.9 per cent, from $11.24 billion in 2022 to $155.9 billion by 2030.
- Emergence of cloud-based artificial intelligence (AI) platforms: Cloud-based AI platforms are providing organisations with scalable and accessible infrastructure for training and deploying AI models. By leveraging the cloud’s computational power and storage capabilities, enterprises can accelerate AI development, drive innovation, and facilitate the integration of AI capabilities into various applications and services, enabling intelligent automation and data-driven decision-making.
Telecom operators unlocking the cloud advantage
Telecom operators are capitalising on the cloud opportunity by offering cloud-based services to their customers. Operators globally are providing value-added services such as managed cloud services, allowing businesses to outsource network management tasks and focus on their core operations. They are also exploring partnerships with cloud providers to offer industry-specific and integrated solutions by leveraging their existing network infrastructure and expertise. Further, telecom companies are providing network function as a service (NFaaS), allowing businesses to leverage virtualised network functions on-demand, reducing capital expenditure and increasing scalability.
Indian enterprises and operators are adopting and leveraging cloud-based solutions. A unique feature of the Indian market is that, though global cloud providers such as Amazon Web Services and Microsoft Azure are dominant players, there are a host of other vendors in India as well. The digital transformation across several sectors is driving the uptake of cloud computing in India. Meanwhile, telecom operators such as Bharti Airtel, Reliance Jio Infocomm Limited (RJIL), and Vodafone Idea Limited (VIL) have partnered with equipment vendors to offer edge solutions. While Bharti Airtel has collaborated with IBM to deploy edge computing in large enterprises, RJIL will leverage Cisco’s edge cloudlets to enhance video experiences on mobile phones. Meanwhile, VIL has collaborated with A5G networks to introduce mobile edge computing solutions in India.
Challenges restricting cloud adoption and possible solutions
Despite the growing popularity of cloud-based connectivity, there are still a number of issues preventing its widespread adoption, particularly among small and medium-sized enterprises. Storing and processing sensitive data in the cloud raises concerns about security breaches, data loss, and compliance with data protection regulations. Further, reliance on cloud-based connectivity introduces dependencies on network infrastructure and service providers. Downtime, network outages, and latency issues can impact business operations and the user experience. Moreover, integrating cloud services with the existing on-premise systems and ensuring seamless data flow between various cloud platforms is also a major challenge for the organisations. Meanwhile, adopting a single cloud provider can lead to vendor lock-in, limiting enterprises’ flexibility to switch providers or adopt multi-cloud strategies.
Another significant challenge arises from the energy-intensive nature of cloud computing, which stems from its reliance on large data centres consuming substantial amounts of electricity for data processing and storage. The primary energy consumers in data centres are servers and cooling systems, accounting for 86 per cent and 11 per cent of direct electricity usage, respectively. According to industry estimates, data centres consume around 200 TWh of power annually, surpassing the energy consumption of certain countries. Additionally, the network infrastructure of cloud computing, including routers and switches, contributes to the carbon and energy footprint.
These challenges can, however, be mitigated through coordinated and prompt actions by the enterprises utilising cloud solutions. With regards to concerns over data privacy and regulatory compliance, organisations must implement robust security measures, including encryption, access controls, and data backup strategies, to mitigate these risks. As far as network reliability and latency issues are concerned, enterprises need to ensure the availability of robust failover mechanisms to maintain uninterrupted connectivity. To address the challenge of vendor lock-in, organisations must carefully evaluate vendor contracts, ensure data portability, and explore interoperability options. Meanwhile, to reduce the carbon footprint of the cloud and bring down energy consumption and costs, enterprises can adopt green cloud technologies such as leveraging renewable energy sources, energy-efficient data centres, and eco-friendly technologies such as efficient servers and cooling systems.
Outlook
The uptake of cloud-based solutions will continue to grow as enterprises recognise the benefits of scalability, cost-efficiency and flexibility. Going forward, hybrid cloud architectures, combining on-premise and cloud environments, will become more prevalent as organisations seek to strike a balance between security, control and scalability. Additionally, the integration of edge computing with cloud-based connectivity will gain momentum, enabling real-time processing, low-latency applications, and intelligent decision-making at the edge of the network. Cloud providers are also likely to expand their AI-as-a-Service offerings, enabling enterprises to use pre-built AI services, such as natural language processing, computer vision, and recommendation systems, that can be easily integrated into applications or workflows without the need for extensive technical expertise.
