Along with the high development of artificial intelligence and cloud services, digital transformation has become an inevitable trend, and the old data management models and infrastructures are struggling to carry the increasing volume of data. The demand for cloud-based Data Management as a Service is expected to grow in the near future.
This article studies Data Management as a Service (DMaaS) revenue, sales revenue and other of Data Management as a Service (DMaaS) in Global market, by key regions and countries, also focuses on the competitive situation, Data Management as a Service (DMaaS) revenue, price, income and market share for major players (brands) in global scale.
To analyze the global Data Management as a Service (DMaaS) overall size, the size of key regions, the size and share of key players, the size of key product categories, the size of major downstream applications, etc. in the historical years past five years (2018-2022). The size analysis includes revenue, price, income and market share. For the forecast of Data Management as a Service (DMaaS) in the coming years, this paper forecasts to 2029, mainly including global and major regions revenue, revenue forecast, classification revenue and revenue forecast, and major applications Data Management as a Service (DMaaS) revenue and revenue forecast.
Public Cloud
Private Cloud
Hybrid Cloud
Based on different applications, this paper focuses on the following areas:
Government Organizations
BFSI
Networking and Communications
Education
Industrial
Retail
Healthcare
Other
This article focuses on the major Data Management as a Service (DMaaS) companies worldwide, including:
Amazon
IBM
Alibaba
Google
Oracle
Cohesity
Deloitte
Informatica
Deloitte Informatica
GoldenSource
ScienceSoft
Hewlett Packard Enterprise Development
Rubrik
Druva
Antea
Antea
Blue Tree
SimCorp
SAP
The emergence of DMaaS
In the age of BYOD and remote work flexibility, organizations are increasingly looking to consolidate their security efforts and effectively protect all of the devices that their employees use for business operations. This is where Device Management as a Service (DMaaS) comes in.DMaaS is a relatively new cloud-based approach that helps organizations effectively manage their devices by leveraging the power of the cloud. This approach allows organizations to focus on their core business while leaving the complexities of device management in the hands of industry experts.
Today, smart devices, also known as digital assets, are considered the backbone of every organization and are used by employees to help streamline operations, so they need to be healthy, patched, and tuned to mission status, said Nadav Avni, chief marketing officer at Radix.The IT department is typically responsible for device management and provisioning, ongoing maintenance, and remote support: "Therefore, it is important for the IT departments and organizations, it is critical to have a management platform that supports all devices, related workflows and stakeholders.
Can DMaaS be trusted?
An IBM analysis views DMaaS as: technology that unifies all endpoints of a mobile device, enabling organizations to protect and control their entire IT environment with capabilities to protect users' personal data, apps, content and corporate data. With DMaaS, customers can leverage the scalability, security and accessibility of next-generation data management to help protect their data from ransomware and other cybersecurity threats, according to Adrian De Luca, director of solution architecture and global partner strategy development at cloud provider Amazon Web Services (AWS).
In addition, there is the issue of integration. Automating tasks, rather than relying on users to perform checks or manually update critical firmware or software, helps promote better compliance. This also ensures that all devices remain compatible in terms of software versions or data content.
To give you a taste of the current global DMaaS buzz include TV operators leasing set-top boxes to their customers, virtual reality service providers leasing virtual reality equipment to clinics and medical centers, and hosting service providers leasing computers to schools for use by teachers and students.
DCIM vs. DMaaS
Since its inception, DCIM software has been hyped and claimed to have a short delivery time. However, it is difficult to deploy and the return on investment is not yet clear.
"DCIM can reduce risk while realizing added benefits, better capacity forecasting and improved business agility. But it remains an under-deployed technology due to challenges such as the challenges of implementing business changes to support DCIM and measuring overall ROI.DMaaS promises to incrementally address these challenges and increase the value of DCIM," Ascierto said.
Data center management becomes trickier when computing environments are distributed across traditional local data centers, cloud and hosted sites, and edge computing applications. The traditional DCIM model requires software to be installed at each data center site, but for comparing performance across environments, this task becomes challenging.DMaaS is a cloud-based remote monitoring service designed to support a variety of deployment locations.
Limitations of DMaaS
That said, DMaaS has a long way to go before it reaches its potential, Ascierto said, adding that the long-term goal of DMaaS is to integrate physical data center infrastructure management with many other services (including IT workload management, energy management, connectivity and business costing, among others). But achieving that goal will take time.
DMaaS does not currently compare to the many capabilities offered by 'traditional' DCIM, but over time we expect it to evolve further," she said. "DMaaS takes data center work beyond the DCIM realm and beyond the proprietary management of a single site. Over time, additional data and services may be added, including integrated workload management, energy management, customer relations and business systems, weather, employee services, and security and network management."
Choosing between local DCIM and cloud-based DMaaS is not a clear and unambiguous decision, Ascierto says, and it may make sense to retain some local DCIM monitoring capabilities for security and latency reasons. For example, sending data to a centralized cloud facility and receiving it back doesn't work for time-sensitive monitoring and alarming. On the other hand, forecasting is not essential for day-to-day operations, so it makes sense to perform it non-locally.
"I don't think it's an either/or proposition. I think they can be chosen 'simultaneously'," Ascierto says.