10 Cloud Predictions for 2021

By November 19, 2020 Uncategorized

Compiled by Kiran Kumar, Business Analyst at Powerup Cloud Technologies

1. Rise in cloud Telephony

The cloud telephony market is projected to grow 8.9% in 2020 and 17.8% in 2021.

“As a result of workers employing remote work practices in response to COVID-19 office closures, there will be some long-term shifts in conferencing solution usage patterns. Policies established to enable remote work and experience gained with conferencing service usage during the outbreak is anticipated to have a lasting impact on collaboration adoption,” Gartner

COVID19 initiatives

2. Increased adoption of Virtual desktops

Forrester predicts the number of remote workers at the end of 2021 will be 3x of  the pre-pandemic levels. Due to the increase in the demand of remote working we expect to see a rise in organizations turning to Desktop-as-a-Service (DaaS) options in 2021 to allow for the secure access of data off corporate networks from any device. DaaS technology will allow organizations to better meet the demands of remote work by quickly provisioning secure virtual desktops for employees and contractors alike that can be deleted if compromised.

Research shows that Microsoft is not the only provider looking up to the desktop as a means of connecting to the cloud. By the same token, all of the key cloud vendors are interested in the virtual desktop market. Moreover, with popular Windows 7 reaching the end of life in January 2020, it means 2019 will be a year of its transition to glory. 2021 and 2022 will bring its own techs. My own question is; are people willing to just jump to Windows 10 and thus cement Microsoft’s hold? Or will they accept things such as AWS WorkSpaces or Google Chromebooks that are fast rising?

Remote workforce enablement

3. Multi-cloud management

50% of Indian enterprises will operate in a hybrid multi-cloud environment by 2021 and 30% of Indian enterprises will deploy unified VMs, Kubernetes, and multi-cloud management processes and tools to support robust multi-cloud management across on-premises and public clouds.: IDC


4. Focus on the “XOps”

AI will play a huge role in augmenting DevOps in 2021 and aslo it will play an essential role in monitoring various conventional activities, optimizing the test cases, along with reducing the time consumed by an application during the development phase.

The Markets and Markets report on the DevSecOps Global Forecast to 2023 suggests that the DevSecOps market size is expected to grow to USD 5.9 billion by 2023.

2020 is expected to witness developers leaning towards the compliance-as-code service, with security being the major focus. As mentioned earlier, security is introduced early in the SDLC cycle using the shift-left strategy. This would ensure that the threats are identified in the beginning and ultimately reduce the cost to fix security issues. DevSecOps ensures that there is better collaboration between the team members by unitedly focusing attention on observability and security issues.

With 65% of organizations expected to adopt DevOps as a mainstream strategy by this year

DevOps automation

5. Pervasiveness of AI

By 2022, 65 percent of CIOs will digitally empower and enable front-line workers with data, AI, and security to extend their productivity, adaptability, and decision-making in the face of rapid changes.

By 2023, driven by the goal to embed intelligence in products and services, one quarter of G2000 companies will acquire at least one AI software start-up to ensure ownership of differentiated skills and IP. Successful organizations will eventually sell internally developed industry-specific software and data services as a subscription, leveraging deep domain knowledge to open profitable new revenue streams.

AI in data centers

AI in data centers will see a peak rise in the coming years. The IDC forecasts that by the year 2021, AI spending will grow to US$52.2 billion with a total CAGR increase of 46.2 percent from 2016-2021.

The use of AI in data centers will serve multiple purposes like automating various manual tasks and also solving skill shortage issues. Along with this, the AI resources can help the enterprises to learn from their past data and have productive conclusions.


Image recognition

6. Serverless computing

25% of developers will leverage serverless by 2021. Gartner also stated the rise of serverless computing, marking the increase by approx. 20 percent of global enterprises.

A 2020 DataDog survey indicated that over 50% of AWS users are now using the serverless AWS Lambda Function as a Service (FaaS). Serverless technologies are going mainstream.

7. Focus on hybrid cloud

AWS and Google will increase their focus on Hybrid cloud. Security will remain as the key driver for hybrid cloud

AWS Outposts

Enterprise Migration

8. Mainstreaming of Containers and Kubernetes

Prior to the pandemic, about 20% of developers regularly used container and serverless functions to build new apps and modernize old ones. We predict nearly 30% will use containers regularly by the end of 2021, creating a spike in global demand for both multi-cloud container development platforms and public-cloud container/serverless services.

The IDC predicts that along with Kubernetes, 95 percent of more new-micro services will be deployed in the containers by 2021.

Forrester predicts that lightweight Kubernetes deployments will end up accounting for 20% of edge orchestration in 2021,

9. Moving DR to cloud

COVID-19 shined a bright light on every company unprepared to recover from a data center outage and refocused enterprise IT teams on improving resiliency. Before the pandemic, few companies protected data and workloads in the public cloud. In 2021, we predict that an additional 20% of enterprises will shift DR operations to the public cloud — and won’t look back.

10. Manage technical debt

Through 2023, coping with technical debt accumulated during the pandemic will shadow 70% of CIOs, causing financial stress, inertial drag on IT agility, and “forced march” migrations to the cloud.

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