Information and Communication Technology Hadoop Big Data Analytics Market is projected to grow up to 14.58% CAGR during the forecas...

Hadoop Big Data Analytics Market is projected to grow up to 14.58% CAGR during the forecasting period 2021-2027.

Hadoop is an open-source software framework for storing and analysing large amounts of data. It makes use of basic programming paradigms to spread data over dispersed clusters of different hardware platforms.Hadoop has many advantages for big data analytics, including dependability, high scalability, cost efficiency, flexibility, failure resilience, tremendous processing capacity, and the ability to manage practically an infinite number of concurrent activities or jobs.

Big data is a large amount of information that may be both unstructured and organised. It is becoming more popular. Traditional systems are incapable of storing and processing such information because of the sheer amount of data involved. It is common for big data analytics to be an advanced way of analysing these enormous quantities of information and data in order to uncover different insights that may be used to make real-time corporate level choices.The information accumulates quickly owing to the volume, diversity, and velocity of the industries' daily activities. An organization's interconnected and shared dashboards provide numerous technological challenges. Managing such data needs high-quality data management systems and information flow management. Companies need cutting-edge big data resolutions to collect, store, analyse, visualise, and predict data from enormous data volumes.

The growing need for digital transformation of businesses, the increasing investment in analytics, and the increasing adoption of smart payment technologies are all anticipated to drive the hadoop big data analytics market in the forecast future. Furthermore, the increased use of social media apps for consumer interaction is on the rise. However, it is predicted that worries about legal and data privacy issues would further limit the development of the hadoop big data analytics market during the forecast period.

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Key Driving Factors: Increasing use of smart payment technology.

Payments that are both contactless and intelligent are becoming popular. While contactless payments make the job of moving money between numerous parties easier, the Internet of Things automates and integrates a variety of processes and functions. Devices such as key fobs and wearable technology are also becoming more popular for contactless payments, in addition to contactless cards. A significant number of digital companies are using machine learning to collect information from the area of commerce. The evolution of public transportation networks has also occurred, with the transition from cash and paper-based transactions to electronic forms of payment being the most notable.

Key driving factors: The Iot and Big Data are coming together to boost market growth.

The confluence of big data and the internet of things is expected to increase the size of the hadoop big data analytics market during the projected period. The increasing spread of the internet of things in various devices such as sensors is producing an abundance of data that will have a beneficial effect on the market.

Additional factors contributing to the global hadoop big data analytics market share include the increasing focus on digital transformation, the increasing investment in analytics, the increasing focus on remote monitoring in support of the outbreak, the increasing adoption of smart payment technologies & businesses that need to build a digital infrastructure for large-scale deployments, and the growing need for analytics on customer-related data.

This report offers the major market player’s profiles, such as Microsoft (US), AWS (US), Cloudera (US), HPE (US), IBM (US), Oracle (US), SAP (Germany), Google (US), SAS Institute (US), Salesforce (US), TIBCO Software (US), Alteryx (US), Micro Focus (UK), Hitachi Vantara (US), Qubole (US), Splunk (US), Dell Technologies (US), Huawei (China), Dremio (US), Imply (US), Starburst (US), Alluxio (US), TheMathCompany (US), Kyvos Insight (US), and Amlgo Labs (India)

Based on verticals: 

The Hadoop big data analytics market is divided according to the verticals in which it operates. BFSI, transportation and logistics, retail and eCommerce, manufacturing, telecommunications and information technology, healthcare and life sciences, government and public sector, media and entertainment, travel and hospitality, and others are among the verticals represented (energy and utilities, education and research, and real estate). During the projection period, the healthcare and life sciences sector is anticipated to see the most growth.In the healthcare and life sciences industry, Hadoop big data analytics is used for remote diagnostics/monitoring patient status, real-time alerts, emergency treatment, stock tracking, pharmacy management and telemedicine.

The Hadoop Big Data Analytics  Market report has been categorized as below

By component:

  • Solutions

  • Services

    • Managed Services

    • Professional Services

      • Deployment and Integration

      • Support and Maintenance

      • Consulting

By deployment mode:

  • Cloud

  • On-premises

By organization size:

  • Large Enterprises

  • Small and Medium-sized Enterprises (SMEs)

By business function:

  • Marketing and Sales

  • Operations

  • Finance

  • Human Resources

By vertical:

  • BFSI

  • Transportation and Logistics

  • Retail and eCommerce

  • Manufacturing

  • Telecommunications and IT

  • Healthcare and Life Sciences

  • Government and Public Sector

  • Media and Entertainment

  • Travel and Hospitality

  • Others 

Based on regions:

  • North America
  • Europe
  • Asia Pacific
  • Rest of World

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Published Date : August-2021