IMARC Group, a leading market research company, has recently releases report titled “Hadoop Big Data Analytics Market: Global Industry Trends, Share, Size, Growth, Opportunity and Forecast 2023-2028.” The study provides a detailed analysis of the industry, including the global hadoop big data analytics market share, size, trends, and growth forecasts. The report also includes competitor and regional analysis and highlights the latest advancements in the market.

Report Highlights

How big is the hadoop big data analytics market?

The global hadoop big data analytics market size reached US$ 16.8 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 41.8 Billion by 2028, exhibiting a growth rate (CAGR) of 15.6% during 2023-2028.

What is hadoop big data analytics?

Hadoop big data analytics is a distributed computing platform that can store and process considerable amounts of structured and unstructured data efficiently and cost-effectively using a cluster of commodity hardware. It helps store and process data across multiple commodity servers in a distributed computing environment. It helps organizations to extract valuable insights from their data and enables businesses to gain a competitive advantage by identifying patterns, trends, and relationships in their data and making data-driven decisions. It also offers a parallel processing architecture that enables organizations to process large volumes of data at high speed. As a result, it is widely employed in numerous industries, such as healthcare, finance, retail, and telecommunications, across the globe.

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What are the growth prospects and trends in the hadoop big data analytics industry?

At present, rapid digitization, burgeoning information and technology (IT) industry, and a significant rise in volumes of data generated are among the key factors positively influencing the market across the globe.

In line with this, massive volumes of data are difficult to process using conventional database systems, such as relational database management systems (RDBMS), which is further catalyzing the demand for Hadoop big data analytics. Moreover, the widespread adoption of machine learning (ML) and artificial intelligence (AI) in various industries is increasing the need for data processing and storage capabilities and, in turn, offering lucrative growth opportunities for key market players operating worldwide.

Moreover, the growing adoption of Hadoop big data analytics in fraud detection, customer segmentation, predictive maintenance, and sentiment analysis is creating a favorable market outlook.

What is included in market segmentation?

The report has segmented the market into the following categories:

Breakup by Component:

  • Solutions
  • Data Discovery and Visualization (DDV)
  • Advanced Analytics (AA)
  • Services

Breakup by Deployment Mode:

  • On-premises
  • Cloud-based

Breakup by Business Function:

  • Marketing and Sales
  • Operations
  • Finance
  • Human Resources

Breakup by Organization Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises

Breakup by End User:

  • BFSI
  • Retail
  • IT and Telecom
  • Healthcare and Life Sciences
  • Manufacturing
  • Media and Entertainment
  • Others

Market Breakup by Region:

  • North America (United States, Canada)
  • Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, Others)
  • Europe (Germany, France, United Kingdom, Italy, Spain, Russia, Others)
  • Latin America (Brazil, Mexico, Others)
  • Middle East and Africa

Who are the key players operating in the industry?

The report covers the major market players including:

Alteryx Inc., Amazon Web Services Inc. (Amazon.com Inc.), Dell Technologies Inc., Fair Isaac Corporation, Google LLC, Hewlett Packard Enterprise Company, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Salesforce.com Inc., SAS Institute Inc., Splunk Inc. and TIBCO Software Inc.

If you require any specific information that is not covered currently within the scope of the report, we will provide the same as a part of the customization.

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