Hadoop Big Data Analytics Market worth USD 28.7 billion by 2027

Date: Oct 2021

The Market Statsville Group (MSG) publishes the new report on the "Hadoop Big Data Analytics Market by Deployment Mode (Cloud Based and Web-Based), By Organization Size, (SMEs and Large Enterprises), By Component (Solutions, and Services), By Business Function (Marketing and Sales, Operations, Finance, and 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 and Others), and Region - Global Trends, Market Share, and Forecast to 2027". The global Hadoop big data analytics market is estimated to grow from USD 13.0 billion in 2020 to USD 28.7 billion by 2027, at a CAGR of 12.0% from 2021 to 2027. The significant factors contributing to the growth of the Hadoop big data analytics market include the rising digitalization and growing adoption of visualization bid data recovery tools. Rising investments in analytics, increased focus on remote monitoring in support of the outbreak are the factors that positively influence the market growth. Further, the rising adoption of smart payment technologies & businesses that need to build a digital infrastructure for large-scale deployments, the growing need for analytics on customer-generated data and enterprise by various business organizations, and the availability of huge databases in multiple industries are all factors that are contributing to the global Hadoop big data analytics market share.

Global Hadoop Big Data Analytics Market Segmentation

The overall Hadoop Big Data Analytics market has been segmented into the deployment mode, organization size, component, business function, vertical, and region.

  • By Deployment Mode (Cloud Based and Web-Based)
  • By Organization Size (SMEs and Large Enterprises)
  • By Component (Solution and Services)
  • By Business Function (Marketing and Sales, Operations, Finance, and 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 and Others)
  • By Region (US, Canada, Mexico, UK, Germany, France, Italy, Spain, China, Japan, India, South Korea, Southeast Asia, Australia, Saudi Arabia, UAE, South Africa, Qatar, Nigeria, Israel, Brazil, Argentina, Peru)

BFSI, by vertical, is estimated to hold the largest market share during the forecast period

The global Hadoop big data analytics market is segmented into Transportation and Logistics, BFSI, Retail and eCommerce, Manufacturing, Telecommunications and IT, Healthcare and Life Sciences, Government and Public Sector, Media and Entertainment, Travel and Hospitality and Others based on the vertical. The BFSI segment generated the highest revenue in 2020, and it is expected to register a significant CAGR from 2020 to 2027. In the past few decades, there have observed considerable innovations in the BFSI industry. This is due to the increased competition from recent players, new entrants, surging costs, and the escalating need by industry to meet the needs of a sophisticated consumer base. New technological innovations have created services, products, and market opportunities more lucrative and efficient. Thus, digitalization is emerging as the most significant technological breakthrough that influences BFSI services, resulting in new products, market opportunities, and more information-orientated business management processes.

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North America accounts for the highest market share during the forecast period in the Hadoop Big Data Analytics market

Based on the regions, the global Hadoop big data analytics market has segmented North America, Asia-Pacific, Europe, South America, and the Middle East & Africa. In North America, three main countries, the US, Mexico, and Canada, are analyzed. The United States has the largest share of the market, followed by Canada. North America is the largest market for Big Data analytics and is among the leading innovators and pioneers in terms of adoption. Big Data analytics suppliers have a strong presence in the region, contributing to the market's growth. The expansion of the Big Data analytics market in the United States is aided by developing new business insights. Many organizations in the region use big data to improve customer service, boost marketing, detect fraud and waste, and accomplish other benefits that directly enhance corporate performance.

This research report includes a study on the development and marketing strategies, product portfolios, and winning design of the leading companies operating in the Hadoop big data analytics market. It also consists of the profiles of leading companies such as CARTO, Signify (Philips), HERE Technologies, Esri (indoo.rs), Phunware, Everbridge,  Cloud4Wi, HPE (Aruba), Cisco, Accenture, CenTrak, Orange Business Services, Favendo, Gozio Health, and Purple, among others. These market players have focused on acquisitions and expansion to gain a larger market share in the Hadoop big data analytics market.

Browse complete report: https://www.marketstatsville.com/hadoop-big-data-analytics-market

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Market Statsville Group (MSG) is a business research and consulting platform of Statsville Consulting Private Limited, based in Oklahoma, USA. MSG is the leading market research and strategy builder with the depth and breadth of solutions that perfectly suit your every need. MSG provides solutions in a wide range of industry verticals in market sizing, analysis, and intelligent business insights. MSG has experienced research analysts who are proficient at digging deep and providing various customizable data that help you make decisions with clarity, confidence, and impact. Furthermore, Market Statsville Group already benefited more than 1,000 companies each year for their revenue planning. It helped them take their disruptions/innovations early to the market by providing them research ahead of the curve.

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