Hadoop Market Size, Growth, Analysis, Trend & Global Forecast 2030 | Credence Research

NEW YORK - Dec. 13, 2023 - PRLog -- The latest market report published by Credence Research, Inc. The global demand for hadoop was valued at USD 36518.5 Million in 2022 and is expected to reach USD 485934 Million in 2030, growing at a CAGR of 38.2% between 2023 and 2030.

In today's data-driven world, the volume and complexity of data are increasing at an unprecedented rate. Organizations across the globe are constantly seeking innovative ways to harness this data to gain insights, make informed decisions, and drive business growth. Hadoop, an open-source distributed storage and processing framework, has emerged as a game-changer in the world of big data analytics. As we delve into the Hadoop market, it's clear that its relevance and influence are only growing.

The rise of big data has transformed industries ranging from finance and healthcare to retail and entertainment. Organizations are collecting massive amounts of data from various sources, including social media, IoT devices, and customer interactions. To extract meaningful insights from this data deluge, they need powerful tools, and Hadoop fits the bill.

The Hadoop market is highly competitive, with several major players dominating the landscape. Companies like Cloudera, Hortonworks (now part of Cloudera), MapR, and IBM offer comprehensive Hadoop solutions that cater to various enterprise needs. The market also features cloud-based Hadoop services from Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform, further expanding its reach.

Browse the Full Report:  https://www.credenceresearch.com/report/hadoop-market

List of Companies Covered:

• Amazon Web Services
• Cisco Systems Inc
• Cloudera Inc
• Datameer Inc
• Hitachi Data Systems
• Fair Isaac Corporation
• MapR Technologies
• MarkLogic
• Microsoft Corporation
• Teradata Corporation
• Others

By Segmentation Type

By Hadoop Components

• Hadoop Distributed File System (HDFS)
• MapReduce
• Hadoop Common
• Hadoop YARN (Yet Another Resource Negotiator)
• Hadoop Ecosystem Projects

By Deployment Types

• On-Premises Hadoop
• Cloud-Based Hadoop
• Hybrid Deployments

By Applications and Use Cases

• Data Warehousing
• Log and Event Data Analysis
• Data Lakes
• Machine Learning and AI
• IoT Data Analysis
• Genomic Data Analysis
• Financial Data Analysis

By Industry Verticals

• Financial Services
• Healthcare
• Retail and E-commerce
• Telecommunications
• Government and Public Sector
• Energy and Utilities

By Hadoop Service Providers

• Hadoop Distribution Providers
• Cloud Service Providers
• Consulting and Support Services

By Company Size

• Small and Medium-Sized Enterprises (SMEs)
• Large Enterprises

By Security and Compliance

• Hadoop Security Solutions
• Regulatory Compliance

By Region