Visual data discovery is an analytical tool that is used in analysing iterative visual data in order to make relevant business decisions.
It helps in improving the decision-making process of an organization by examining data from charts and images.
Data analyses can be performed in real time by using processes such as in-memory computing and fusion of multiple data sources.
This process provides robust solutions to organizations due to the exponential growth of data.
The global visual data discovery market is expected to grow at a CAGR of 19.5% during the forecast period.
But, the growing use of cloud-based services is increasing the amount of data, which will further accelerate the demand for visual data discovery market.
The data received from the wearable devices that monitors your health to the large logistics and transportation company that checks the supply chain stocks, assets tracking all leads to a heap of Big data.
Analysing the data and predicting the future trend and where to focus more are some of the significant benefits it offers.
These smart data visualization tools and technologies helps to slice and dice the data to the minute granular level.
Let’s put on our technical hat in defining the IoT Data visualization techniques.
These real-time graphical data gives the passengers a hassle-free flight experience.
As said before, the big data collected from the various IoT devices, needs to be interpreted for analyzing them to take better business decisions.
The global sensitive data discovery market size to grow from USD 5.1 billion in 2020 to USD 12.4 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 16.1% during the forecast period.
Various factors such as the growing need to discover sensitive structured and unstructured data, increasing investments in data privacy with evolving regulations, and rise in remote workers and real-time data access are expected to drive the adoption of the sensitive data discovery solutions and services.Sensitive data discovery is the process of identifying and locating sensitive data to protect or securely remove pieces compromising information.
Sensitive data discovery solutions remediate compliance breaches in real-time and quarantine, delete, or revoke access to exposed data.Download PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=191231584Some of the key players operating in the sensitive data discovery market include IBM (US),Microsoft (US),Oracle (US), AWS (US), Proofpoint (US), Google (US), SolarWinds (US), Micro Focus (UK), PKWARE (US), Thales (France), Spirion (US), Egnyte (US), Netwrix (US), Varonis (US), Digital Guardian (US), Solix (US), Immuta (US), MENTIS (US), Ground Labs (US), Hitachi (Japan), Nightfall (US), Securiti (US), DataGrail (US), Dathena (Singapore), BigID (US), DataSunrise (US), and 1touch.io (US).
These sensitive data discovery vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global sensitive data discovery market.IBM was founded in 1911 and is headquartered in New York, US.
As of December 31, 2019, IBM’s total employee strength, including that of its wholly owned subsidiaries, was 352,600.
IBM offers smarter data protection platform that offers actionable insights, real-time controls, and automated compliance support through data discovery and classification.