What Are The Latest Trends In Global Cloud Computing technology?

Cloud computing has been booming in the tech universe as most of the organizations rely on cloud services. The cloud has a lot to offer from operating systems to web servers, databases, virtual local area networks, application software, and IP addresses. Cloud computing was the most trending topic in the business and innovation space throughout 2019 besides blockchain application development.

Cloud storage and cloud computing are amassing interest and exposure from companies around the globe. Companies understand the advantages of cloud innovation, however, many of them dread cloud security or are confused about its utilization.  But, the time security layers of the storage areas are expanding to provide additional security on the cloud and various companies are leveraging the technology.

Essentially, cloud computing enables storing, processing, and managing data on a network of internet-hosted remote servers rather than on a local server or a PC. It is cost-effective, robust, and scalable while deploying applications, custom application development, etc. Cloud computing technology is transforming the way developers build applications and organizations manage their operations. So, let’s take a look at some of the latest trends in global cloud computing technology.

Global Cloud Computing Statistics                                                    

  • The global cloud computing market is expected to grow at a CAGR of 18% to reach over 623 billion by 2023.
  • About 80% of organizations are expected to adopt cloud computing technology by 2025.
  • IaaS is predicted to grow to $72.4 billion globally in 2020.
  • 70% of tech spending by 2020 will be made for cloud initiatives.
  • Around 84% of companies use a multi-cloud strategy.


Global cloud computing technology trends to watch out for in 2020


The advancements in cloud infrastructure are enabling the technology to be less siloed, data streams to be more mobile, and workloads to be more portable. The open-source movement has enhanced the standardization due to which application-level processes are being supported by new-channel roles. As a result, it is enabling AI and high-performance computing to deliver application development and SaaSOps services. 



  • Serverless Computing


Serverless computing is crucial for developers as it enables them to focus on the core product rather than stressing about managing and operating the servers. This is the main reason that organizations are inclining towards serverless computing. In fact, according to Gartner, over 20% of global enterprises are expected to deploy serverless computing by 2020.

As stated by the CEO of Microsoft, Satya Nadella, “Serverless computation is going to fundamentally change not only the economics of what is back-end computing, but it’s going to be the core of the future of distributed computing’. The statement itself clarifies the future of serverless computing. 



  • Quantum Computing


With every passing year, we witness advancements in the performance of computers. These advancements can be attributed to quantum computing. As innovation in technology progresses, there will be more demand and a need for effective and increased computational capacity. Quantum Computing will enable quick data processing by computers and servers as compared to the current pace. The foundation of cloud computing is based on quick-paced network systems and therefore, it will play a crucial role in the expansion of computing force and performance.



  • Disaster-Recovery-as-a-Service Peak Demand


The cost of downtime in organizations has been rapidly increasing as more and more organizations are adopting the digital route. The average cost of IT downtime, according to Gartner, is close to $5,600 per minute. This downtime cost will have different impacts on different firms. Moreover, with increasing data breaches, organizations need to have strong disaster recovery strategies in place and be legally compliant. Therefore, the demand for DRaaS is increasing as automated DR strategies reduce recovery time significantly. The DRaas market is expected to reach $4.5 billion by 2020.



  • Increased use of AI in the Data Center


In 2020, the use of AI in the data center will increase which will aid in saving energy, detecting server or network hardware failure patterns, etc. AI will help data centers to detect problems before they occur and to learn from past data to distribute workloads efficiently across peak periods. Research firm Gartner, predicts that 75% of companies will face business disruptions due to infrastructure and operations skill gaps by 2020. Moreover, 30% of data centers will no longer be economically or operationally viable if they fail to prepare for AI buy 2020.



  • Increased Use of Multi-Cloud and Hybrid-Cloud Strategy


Presently, organizations deploy workloads across multiple clouds. They lock themselves with specific systems that may be complex and cumbersome to adapt to. However, businesses have started realizing that cloud data management requires choosing the right solution rather than have a specific platform or infrastructure. Therefore, an emerging trend in 2020 is that companies will not lock themselves with one cloud vendor and will use multi-cloud or hybrid-cloud solutions.  As per research by Gartner, 75% of medium and large organizations will embrace muti or hybrid-cloud strategy by 2021. 



  • Continued adoption of Hybrid Cloud


Between multi-cloud and hybrid-cloud, the latter will be the preferred deployment model as multiple cloud providers offer more flexibility and increase complications. According to reports, the increased demand for hybrid-cloud will be driven by factors such as scalability, security, agility, and cost-efficiency. The hybrid-cloud market is also predicted to grow at a CAGR of 17% to reach $97.6 billion by 2023. In comparison to multi-cloud, hybrid-cloud offers economies of scale while also ensuring increased security to sensitive business information.


Author Bio- Here is Author Bio- Vijaya Bharti is a Content Writer at Enuke Software Company specialized in RPA, iOT and Blockchain app development. She is passionate about writing, she has made her passion her profession. She enjoys writing and learning in the process as she believes there is no end to gaining knowledge.