Overview and Scope
Hadoop big data analytics refers to the process of analyzing vast amounts of structured, semi-structured, and unstructured data using the hadoop framework. The purpose of hadoop in big data analytics is to provide a scalable, cost-effective, and flexible platform for storing, processing, and analyzing large and diverse datasets. It is used across various industries and domains for a wide range of purposes due to its ability to process and analyze large volumes of data efficiently.
Sizing and Forecast
The hadoop big data analytics market size has grown rapidly in recent years. It will grow from $16.64 billion in 2023 to $19.18 billion in 2024 at a compound annual growth rate (CAGR) of 15.3%. The growth in the historic period can be attributed to data explosion, vendor support and ecosystem growth, open source advantage, parallel processing capability, flexible data processing.
The hadoop big data analytics market size is expected to see rapid growth in the next few years. It will grow to $33.6 billion in 2028 at a compound annual growth rate (CAGR) of 15%. The growth in the forecast period can be attributed to advanced analytics and machine learning, cloud adoption, data governance and security, edge computing integration, hybrid and multi-cloud deployments. Major trends in the forecast period include edge analytics integration, AI and machine learning integration, containerization and microservices architecture, enhanced security measures, customized industry solutions.
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Segmentation & Regional Insights
The hadoop big data analytics market covered in this report is segmented –
1) By Component: Solutions, Services
2) By Deployment Mode: Cloud, On-Premises
3) By Business Function: Marketing And Sales, Operations, Finance, Human Resource
4) By Organization Size: Large Enterprises, Small And Medium-Sized Enterprises
5) By Vertical: Banking Financial Services And Insurance, Transportation And Logistics, Retail And E-commerce, Manufacturing, Information Technology (IT) And Telecommunication, Healthcare And Life Sciences, Government And Public Sector, Media And Entertainment, Travel And Hospitality, Other Verticals
North America was the largest region in the hadoop big data analytics market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the hadoop big data analytics market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Major Driver Impacting Market Growth
The adoption of digital payments is expected to propel the growth of the hadoop big data analytics market going forward. Digital payments refers to a process of transferring money or value electronically, typically using digital devices or online platforms. Hadoop and big data analytics are utilized in digital payments to enhance efficiency, security, and the personalization of payment methods, as well as to provide scalable and efficient solutions for processing, managing, and analyzing large volumes of data generated during transactions. For instance, in March 2021, according to Finaria, a UK-based finance and investment company, global digital payments will hit $6.6 trillion. Moreover, mobile POS payments are expected to contribute 37%, or almost $2.5 trillion, to the value of digital payments in 2021. Furthermore, this value is anticipated to increase by 90% to $4.6 trillion by 2025. Therefore, the increasing adoption of digital payments is driving the growth of the Hadoop big data analytics market.
Key Industry Players
Major companies operating in the hadoop big data analytics market are Google LLC, Microsoft Corporation, Dell Technologies, Amazon Web Services (AWS), Intel Corporation, International Business Machine Corporation, Cisco Systems Inc., Oracle Corporation, SAP SE, Hewlett Packard Enterprise (HPE), NetApp Inc., Splunk Inc., Snowflake Inc., Palantir Technologies Inc., Teradata Corporation, Informatica Corporation, MongoDB Inc., Alteryx Inc., Confluent Inc., MicroStrategy Incorporated, Apache Software Foundation, Cloudera Inc., Couchbase Inc., Knime AG, Pentaho Corporation
The hadoop big data analytics market report table of contents includes:
- Executive Summary
- Hadoop Big Data Analytics Market Characteristics
- Hadoop Big Data Analytics Market Trends And Strategies
- Hadoop Big Data Analytics Market – Macro Economic Scenario
- Global Hadoop Big Data Analytics Market Size and Growth
- Hadoop Big Data Analytics Market Segmentation
- Hadoop Big Data Analytics Market Regional And Country Analysis
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- Key Mergers And Acquisitions In The Hadoop Big Data Analytics Market
- Hadoop Big Data Analytics Market Future Outlook and Potential Analysis
- Appendix
List Of Tables:
Table 1: Global Historic Market Growth, 2018-2023, $ Billion
Table 2: Global Forecast Market Growth, 2023-2028F, 2033F, $ Billion
Table 3: Global Hadoop Big Data Analytics Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Table 4: Global Hadoop Big Data Analytics Market, Segmentation By Deployment Mode, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
Table 5: Global Hadoop Big Data Analytics Market, Segmentation By Business Function, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
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Table 76: Google LLC Financial Performance
Table 77: Microsoft Corporation Financial Performance
Table 78: Dell Technologies Financial Performance
Table 79: Amazon Web Services (AWS) Financial Performance
Table 80: Intel Corporation Financial Performance
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