Dark Analytics Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028, Segmented By Analytics (Predictive, Prescriptive and Descriptive), By Offering (Solution and Service), By Deployment Mode (Cloud and On-premises), By End-User (Healthcare & Life Sciences, BFSI, Retail & E-Commerce, Gaming, IT & Telecommunication, Media & Entertainment, Government, and Others), By Reg

Published Date: November - 2024 | Publisher: MIR | No of Pages: 320 | Industry: ICT | Format: Report available in PDF / Excel Format

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Dark Analytics Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, 2018-2028, Segmented By Analytics (Predictive, Prescriptive and Descriptive), By Offering (Solution and Service), By Deployment Mode (Cloud and On-premises), By End-User (Healthcare & Life Sciences, BFSI, Retail & E-Commerce, Gaming, IT & Telecommunication, Media & Entertainment, Government, and Others), By Reg

Global Dark Analytics Market is growing due to the advent of digitalization, internet of things (IoT), real-time marketing analytics, ongoing trends on automation & data exchange in Industry revolution 4.0 and instantaneous control response in complex autonomous systems and technology like unmanned aircraft systems (UAS). With rapid growth of untapped data and emerging new technologies with the rise of digitalization and risk associated with security, the surveillance industries and nations are concentrating more on extracting insights for decision making by instant analysis of real-time information. The adoption by banking, finance, marketing & advertising, and E-commerce sector has broadened the portfolio of using analytics as a tool in decision making, which is further expected to boost the global dark analytics market in the forecast period.

Data which is present in enormous amount which is unfamiliar is indicated as dark data. Dark analytics is a term used to analyze dark data which is precisely referred to as unstructured data or untapped information until it is used to determine insights for decision making process in business activities. Associations nowadays are realizing a huge risk related to losing serious edge in business and administrative issues that accompanies not analyzing and handling this data. Dark data is valuable as it tends to provide information that is not found at in any other format. Due to dark analytics an increasing number of enterprises take advantage of valuable dark data, as it provides intelligent insights, creates new revenue opportunities, develops new partnerships, shifts businesses into the data-driven century.

Advent of Internet of Things (IoT) and Proliferation of Massive Amount of Data through Connected Devices

according to the International Data Corporation (IDC), there will be around 41.6 billion IoT devices in 2025, which can generate 79.4 zettabytes (ZB) of data

Rise in Demand from Retail & E-commerce

The rising development in the retail and ecommerce sector, advent of digital media platforms for online shopping along with rise in number of retail and e-commerce enterprises across the world for apparel, electronics and other commodities has generated the enormous amount of untapped data. As the e-commerce market among service providers has become sensitive, the enterprises are further seeking an advanced solution to understand the matrix of untapped data to maintain their presence in the competition. Dark analytics helps retail and E-commerce enterprises to understand the unassessed raw data of the customers to provide insight upon the customer buying behavior or the overall sales of the specific products worldwide. For instance, Airbnb is adopting such analytics solutions to understand the market for the specific region and compare the demand for properties accordingly. Moreover, the apparel companies are intending to setup their manufacturing plants based on the customer sentimental data insights to optimize their operations and enhance the profitability. As a result, these solutions are in high demand by the enterprises and are becoming more integrated into the private sector. Furthermore, the enterprises are exponentially concerned more about utilizing such enormous benefits of advanced solutions for fixing the storage space issue and help make better strategic decisions. Thus, the rising demand from the retail and E-commerce for integrating such analytical solutions is expected to grow the dark analytics market in the forecast period.

Rise in Demand for Predictive Analysis in Healthcare Industry

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Market Segmentation

The


MIR Segment1

Market Player

Attribute

Details

Base Year

2022

Historic Data

2018 â€“ 2021

Estimated Year

2023

Forecast Period

2024 – 2028

Quantitative Units

Revenue in USD Million and CAGR for 2018-2022 and 2024-2028

Report coverage

Revenue forecast, company share, growth factors, and trends

Segments covered

By Analytics

By Offering

By Deployment Mode

By End-User

By Region

Regional scope

North America, Asia-Pacific, Europe, South America, Middle East & Africa

Country scope

United States, Canada, Mexico, China, India, Japan, South Korea, Australia, Singapore, Germany, United Kingdom, France, Italy, Brazil, Argentina, Colombia, Saudi Arabia, South Africa, UAE

Key companies profiled

SAP SE, IBM Corporation, Micro Focus International PLC., Dell EMC, Gen Digital Inc., Amazon Web Services, Inc., Teradata Corporation Inc., Microsoft Corporation, Datameer, Inc., Avepoint, Inc. 

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