Global Structured Data Archiving and Application Retirement Market Report 2019, Competitive Landscape, Trends and Opportunities
Structured data archiving application software is used to transfer data from custom provided applications to an alternative database or a file system while maintaining data integrity. This assists in lessening the storage acquisition cost, storage infrastructure requirements, and cost of preserving data for observation while revising applications.
Despite growth in the structured data archiving and application retirement market, the adoption of software-as-a-service industry applications may lead to market compression for archiving solutions in the future. I&O leaders must choose application software based on appropriate use cases and match these with the virtue of a do-it-yourself strategy.
The Maia Research conducted a detailed analysis of structured data archiving and application retirement market. Some of the important conclusions drawn from the research are mentioned below-
The rising usage of Apache Hadoop technology, improving data warehouse volume extents and the incorporation of legacy systems in companies are all factors facilitating structured data growth. To manage it, companies are being encouraged to look at data archiving and getting the least valuable data out of mainstream organizational applications.
While many organizations are yet to adopt data archiving and migration tools, it is estimated that migration will indicate about 20% of overall information governance assignments. To help organizations do this, four market players have emerged as the chiefs in the archiving space: IBM, HP, Solix, and Informatics.
The amount of data that organizations are being forced to preserve has grown rapidly. According to reports, 75% of structured data archiving tools will integrate support for big data analytics.
Growing demand for affordable storage solutions for inactive organizational data, rising demand for data retention to meet the corporate and legal administration provisions, and improved demand for high-performance business procedures are some crucial factors driving the data archiving market.
Besides, the market is expected to be driven by factors such as scalable and cost-effective archiving through cloud and development of applications for intelligent archiving of data and emerging potential markets.
As per the report published in Maia Research, the on-demand cloud-based deployment segment is expected to play a significant role in the growth of data archiving market.
Based on the report published in Maia Research, the global data archiving and application retirement market can be forecasted on the basis of deployment modes, applications, and geography.
Based on the mode of deployment, the global data archiving market can be segmented into-
- On-Demand Cloud-based
Based on applications, the global data archiving market can be segmented into-
- Retail and Manufacturing
- Telecom and IT
Based on regions, the global data archiving market can be segmented into-
- Asia Pacific
- Southeast Asia
- Central and South America
- The Middle East and Africa
Major players in the global Structured Data Archiving and Application Retirement market include:
The on-demand cloud-based deployment segment is anticipated to account for the substantial market share since most of the organizations are rapidly switching from brick to click models. The scalable and robust character of cloud infrastructure makes it convenient to store, monitor, and analyze massive datasets in real-time and at a rapid response time.
Based on geography, North America is anticipated to be dominant in the adoption and execution of data archiving applications, followed by the Asia Pacific and Europe. North America is promptly adopting technological advancements, such as cloud and mobile, within traditional data archiving and application retirement solutions. The primary driver for the growth of the region is the rigid government norms and limitations framed for various verticals. The Asia Pacific is also noticing exponential growth in adopting data archiving solutions.
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