Data Management: 2019 was an irregular year for the storage market, according to IDC, with a first half in which spending decreased, followed by two-quarters of positive growth.
But many experts believe that 2020 will be better. Forrester, for example, believes that it will be a crucial year for data management, and notes that many companies will “double or triple” their budgets in this area. While Gartner predicts global growth of 3.7% for this market during this year.
Thus, data management is still a niche where companies will continue to focus on analyzing, securing, and squeezing their information for the business. In this sense, Infinidat highlights the following trends that will prevail in 2020
Mundo Cloud – Back to the Hybrid Model
The rising costs of public cloud and the difficulties with cost management itself are leading some companies to shift towards more hybrid storage models.
In its “Data Storage Predictions for 2020” report, the ESG (Enterprise Strategy Group) notes that most companies moved at least one workload from the cloud to the facilities during 2019. The perception that, in the end, all IT will be in the public cloud begins to dilute. And the de facto standard is already the hybrid model. In other words, local infrastructure will be an increasingly important part of IT throughout 2020.
Software – Increasingly Important
In recent years, IT infrastructures have become more and more defined by software. According to the “SDS Market Analysis, Trends, and Forecasts” report by Research and Markets, the software-defined storage market will experience a growth of 35.8% over the next six years.
One of the main drivers for this “software-defined everything” trend will be precisely hybrid cloud environments. It will still require hardware, but it can be located anywhere, while software will increasingly coordinate the increasing complexity of IT.
Automated Data Management
In his “Top 10 Data and Analytics Trends” report, Gartner points out that, with the lack of technical skills in this area, organizations need to automate the management of their data.
For their part, manufacturers are gradually adding machine learning and artificial intelligence capabilities so that their systems are self-configuring and self-adjusting.
During 2020, AI will become a core technology in building smart hybrid cloud infrastructures. But this will require smart storage systems that can meet the performance and capacity needs of these business systems.
Security – key Aspect
Storage infrastructure security spending is expected to continue to grow in 2020. According to Gartner data, total security spending increased by 10.5% in 2019, and cloud security spending is projected to grow more than 40% in the next 5 years.
A growing related trend is a demand for reliable data. Managers face an increasing need to demonstrate not only that their data is secure. But also that they have been collected, stored and processed with integrity and responsibility.
From Backup Time to Recovery Time as a Reference
While backup times are usually optimized, today’s organizations are struggling primarily to speed up recovery time. In the face of a ransomware attack. For example, it will affect the customer who experience it and costly casualties may occur.
This is a growing challenge for CIOs since no organization can afford to wait several hours to recover its operation.
Cost Reduction per TB
Optimizing storage infrastructure does not mean switching to more expensive means, but the right architecture.
The reduction in cost per Terabyte has become the workhorse and will continue to be so in 2020.
But new proposals are emerging that try to meet this challenge with modern. And more efficient architectures that allow us to take advantage of the best of the means (disk, DRAM, flash …) on a large scale, at a much lower cost per Terabyte.
New Acquisition Models
If the growth of the storage infrastructure requires acquiring, installing, and configuring new hardware, other essential criteria. Such as elasticity, can be seriously damaged.
In 2020 we will see the emergence of new trends such as the Capacity on Demand (COD) models.
And, with which the infrastructure can grow in a matter of seconds. And allowing to start the corresponding business service and then pay for the expansion. In this way, time-to-market will not be limited by the data infrastructure.
Also Read: 7 Reasons Why Organizations Need Secure Emails