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Hadoop Market Report by Component (Hardware, Software, Services), Deployment Model (On-premises, Cloud-based, Hybrid), Organization Size (Large Enterprises, Small and Medium Enterprises), End Use Industry (BFSI, Retail and Consumer Goods, IT and Telecommu

Publisher IMARC Services Pvt. Ltd.
Published Aug 10, 2024
Length 150 Pages
SKU # IMRC19103373

Description

Hadoop Market Report by Component (Hardware, Software, Services), Deployment Model (On-premises, Cloud-based, Hybrid), Organization Size (Large Enterprises, Small and Medium Enterprises), End Use Industry (BFSI, Retail and Consumer Goods, IT and Telecommunication, Manufacturing, Government and Defense, Media and Entertainment, Energy and Utility, and Others), and Region 2024-2032


The global hadoop big data analytics market size reached US$ 19.4 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 63.4 Billion by 2032, exhibiting a growth rate (CAGR) of 13.8% during 2024-2032.

Hadoop is an efficient open-source big data analytics platform that can store and process a substantial amount of structured and unstructured data quickly and efficiently by using a cluster of commodity hardware. It replicates any stored file three times to guarantee reliability, availability, and fault tolerance. It is scalable as additional compute nodes can be added to the cluster if further processing is required. Besides this, as it is also flexible and cost-effective, Hadoop big data analytics finds extensive applications in the retail, healthcare, manufacturing, telecommunications, and banking, financial services and insurance (BFSI) industries worldwide.

Hadoop Big Data Analytics Market Trends:

Significant growth in the information and technology (IT) industry represents one of the key factors stimulating the growth of the market. Moreover, massive volumes of data are difficult to process using conventional database systems, such as relational database management systems (RDBMS). However, Hadoop relies on a Hadoop distributed file system (HDFS) that holds a large amount of data and provides easier access. It acts as a storage for big data, which can be loaded from the local file system using a command line interface (CLI) utility. Apart from this, it facilitates the partitioning of the big data contained within HDFS to multiple machines. As a result, businesses across the globe are increasingly relying on Hadoop big data analytics. Furthermore, it offers efficient and rapid data storage and processing platforms for hospitals. This, coupled with increasing volumes of unstructured data, is positively influencing the market. Other factors strengthening the growth of the market include rising technological advancements and the growing digitalization in businesses across different industry verticals around the world.

Key Market Segmentation:

IMARC Group provides an analysis of the key trends in each sub-segment of the global hadoop big data analytics market report, along with forecasts at the global, regional and country level from 2024-2032. Our report has categorized the market based on component, deployment mode, business function, organization size and end user.

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
  • T and Telecom
  • Healthcare and Life Sciences
  • Manufacturing
  • Media and Entertainment
  • Others
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
Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being 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.

Key Questions Answered in This Report

1. What was the size of the global hadoop big data analytics market in 2023?

2. What is the expected growth rate of the global hadoop big data analytics market during 2024-2032?

3. What are the key factors driving the global hadoop big data analytics market?

4. What has been the impact of COVID-19 on the global hadoop big data analytics market?

5. What is the breakup of the global hadoop big data analytics market based on the component?

6. What is the breakup of the global hadoop big data analytics market based on the business function?

7. What is the breakup of the global hadoop big data analytics market based on the end user?

8. What are the key regions in the global hadoop big data analytics market?

9. Who are the key players/companies in the global hadoop big data analytics market?

Table of Contents

150 Pages
1 Preface
2 Scope and Methodology
2.1 Objectives of the Study
2.2 Stakeholders
2.3 Data Sources
2.3.1 Primary Sources
2.3.2 Secondary Sources
2.4 Market Estimation
2.4.1 Bottom-Up Approach
2.4.2 Top-Down Approach
2.5 Forecasting Methodology
3 Executive Summary
4 Introduction
4.1 Overview
4.2 Key Industry Trends
5 Global Hadoop Market
5.1 Market Overview
5.2 Market Performance
5.3 Impact of COVID-19
5.4 Market Forecast
6 Market Breakup by Component
6.1 Hardware
6.1.1 Market Trends
6.1.2 Market Forecast
6.2 Software
6.2.1 Market Trends
6.2.2 Market Forecast
6.3 Services
6.3.1 Market Trends
6.3.2 Market Forecast
7 Market Breakup by Deployment Model
7.1 On-premises
7.1.1 Market Trends
7.1.2 Market Forecast
7.2 Cloud-based
7.2.1 Market Trends
7.2.2 Market Forecast
7.3 Hybrid
7.3.1 Market Trends
7.3.2 Market Forecast
8 Market Breakup by Organization Size
8.1 Large Enterprises
8.1.1 Market Trends
8.1.2 Market Forecast
8.2 Small and Medium Enterprises
8.2.1 Market Trends
8.2.2 Market Forecast
9 Market Breakup by End Use Industry
9.1 BFSI
9.1.1 Market Trends
9.1.2 Market Forecast
9.2 Retail and Consumer Goods
9.2.1 Market Trends
9.2.2 Market Forecast
9.3 IT and Telecommunication
9.3.1 Market Trends
9.3.2 Market Forecast
9.4 Manufacturing
9.4.1 Market Trends
9.4.2 Market Forecast
9.5 Government and Defense
9.5.1 Market Trends
9.5.2 Market Forecast
9.6 Media and Entertainment
9.6.1 Market Trends
9.6.2 Market Forecast
9.7 Energy and Utility
9.7.1 Market Trends
9.7.2 Market Forecast
9.8 Others
9.8.1 Market Trends
9.8.2 Market Forecast
10 Market Breakup by Region
10.1 North America
10.1.1 United States
10.1.1.1 Market Trends
10.1.1.2 Market Forecast
10.1.2 Canada
10.1.2.1 Market Trends
10.1.2.2 Market Forecast
10.2 Asia-Pacific
10.2.1 China
10.2.1.1 Market Trends
10.2.1.2 Market Forecast
10.2.2 Japan
10.2.2.1 Market Trends
10.2.2.2 Market Forecast
10.2.3 India
10.2.3.1 Market Trends
10.2.3.2 Market Forecast
10.2.4 South Korea
10.2.4.1 Market Trends
10.2.4.2 Market Forecast
10.2.5 Australia
10.2.5.1 Market Trends
10.2.5.2 Market Forecast
10.2.6 Indonesia
10.2.6.1 Market Trends
10.2.6.2 Market Forecast
10.2.7 Others
10.2.7.1 Market Trends
10.2.7.2 Market Forecast
10.3 Europe
10.3.1 Germany
10.3.1.1 Market Trends
10.3.1.2 Market Forecast
10.3.2 France
10.3.2.1 Market Trends
10.3.2.2 Market Forecast
10.3.3 United Kingdom
10.3.3.1 Market Trends
10.3.3.2 Market Forecast
10.3.4 Italy
10.3.4.1 Market Trends
10.3.4.2 Market Forecast
10.3.5 Spain
10.3.5.1 Market Trends
10.3.5.2 Market Forecast
10.3.6 Russia
10.3.6.1 Market Trends
10.3.6.2 Market Forecast
10.3.7 Others
10.3.7.1 Market Trends
10.3.7.2 Market Forecast
10.4 Latin America
10.4.1 Brazil
10.4.1.1 Market Trends
10.4.1.2 Market Forecast
10.4.2 Mexico
10.4.2.1 Market Trends
10.4.2.2 Market Forecast
10.4.3 Others
10.4.3.1 Market Trends
10.4.3.2 Market Forecast
10.5 Middle East and Africa
10.5.1 Market Trends
10.5.2 Market Breakup by Country
10.5.3 Market Forecast
11 SWOT Analysis
11.1 Overview
11.2 Strengths
11.3 Weaknesses
11.4 Opportunities
11.5 Threats
12 Value Chain Analysis
13 Porters Five Forces Analysis
13.1 Overview
13.2 Bargaining Power of Buyers
13.3 Bargaining Power of Suppliers
13.4 Degree of Competition
13.5 Threat of New Entrants
13.6 Threat of Substitutes
14 Price Analysis
15 Competitive Landscape
15.1 Market Structure
15.2 Key Players
15.3 Profiles of Key Players
15.3.1 Amazon Web Services Inc. (Amazon.com Inc)
15.3.1.1 Company Overview
15.3.1.2 Product Portfolio
15.3.1.3 SWOT Analysis
15.3.2 Cisco Systems Inc
15.3.2.1 Company Overview
15.3.2.2 Product Portfolio
15.3.2.3 Financials
15.3.2.4 SWOT Analysis
15.3.3 Cloudera Inc.
15.3.3.1 Company Overview
15.3.3.2 Product Portfolio
15.3.3.3 Financials
15.3.4 Datameer Inc.
15.3.4.1 Company Overview
15.3.4.2 Product Portfolio
15.3.5 Dell Technologies Inc.
15.3.5.1 Company Overview
15.3.5.2 Product Portfolio
15.3.5.3 Financials
15.3.5.4 SWOT Analysis
15.3.6 Google LLC (Alphabet Inc.)
15.3.6.1 Company Overview
15.3.6.2 Product Portfolio
15.3.6.3 SWOT Analysis
15.3.7 International Business Machine Corporation
15.3.7.1 Company Overview
15.3.7.2 Product Portfolio
15.3.7.3 Financials
15.3.7.4 SWOT Analysis
15.3.8 Hewlett Packard Enterprise Development LP
15.3.8.1 Company Overview
15.3.8.2 Product Portfolio
15.3.8.3 Financials
15.3.8.4 SWOT Analysis
15.3.9 MarkLogic Corporation
15.3.9.1 Company Overview
15.3.9.2 Product Portfolio
15.3.10 Teradata
15.3.10.1 Company Overview
15.3.10.2 Product Portfolio
15.3.10.3 Financials
15.3.10.4 SWOT Analysis

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