Hadoop Big Data Analytics Market will touch USD 80.22 Billion at a whopping 27.41% CAGR between 2020- 2030, reveals the current Market Research Future’s (MRFR) hadoop big data analytics market forecast report. The study comprises a blend of various segments such as Hadoop Big Data Analytics market share, size, drivers, restraints, SWOT analysis, drivers, restraints and opportunities.

The influx of data from social platforms, connected devices, and call data records presents significant issues for telecom operators in data management. Big data analytics provides telcos with real-time insights into potential risk factors, allowing them to eliminate fraudulent risks and increase corporate profits while retaining customer happiness.

Faster processing and data management at a low cost assist the banking and finance industries. By studying behaviour and finding patterns that contribute to consumer abandonment, big data analytics assists financial organisations in retaining more of their customers. Customer segmentation and experience analysis, credit risk assessment, and targeted services are some of the other Big Data applications in the banking and finance sector.

The main factors impeding market expansion are a lack of knowledge and security concerns. In today's fast-paced world, preserving personal data securely has become the most critical duty, especially for SMEs. Increasing cyber assaults cost businesses a fortune and harm their brand identification.

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Market Segmentation

The market for Hadoop big data analytics has been segmented into three segments: end-user, application, and component.

The software segment will dominate the Hadoop Big Data Analytics market.

The global Hadoop big data analytics market is divided into two components: services and software. Training and support, managed services, and consulting and development are all sub-segments of the services segment. Among them, the software segment is expected to lead the Hadoop big data analytics market throughout the forecast period. By 2023, it will have grown at a 35.69 per cent CAGR. In organisations, Hadoop’s big data analytics software is used to manage, scale, and distribute consumer and enterprise data. This also aids in the collection of metrics from the data cluster of individual computers and the generation of reports.

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The risk and fraud analytics segment will dominate the Hadoop Big Data Analytics market.

The global Hadoop big data analytics market is divided into five applications: merchandising and supply chain analytics, distributed coordination service, security intelligence, consumer analytics, internet of things (IoT), and risk and fraud analytics. Because of the increased emphasis on risk and fraud evaluation in today's enterprises, the risk and fraud analytics segment will dominate the market over the projection period. Risk and fraud analytics provides a comprehensive review to identify potential and current risks. By 2023, it will have grown at a CAGR of 37.30%.

Regional Classification

Geographically, the worldwide Hadoop big data analytics market is divided into Europe, North America, Asia Pacific (APAC), and the Rest of the World (RoW). North America will have the most influence on the market over the forecast period. The presence of robust IT infrastructure, ease of adoption and integration of emerging technologies in top-tier organisations, the presence of leading IT companies, a massive foothold of big data analytics providers, and rapid expansion of business insights are all contributing to the region's global Hadoop big data analytics market growth.

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Industry News

Virtu has announced the availability of buy-side big data analytics solutions.

Kyligence's big data platform now has a cloud-native variant.

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