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Hadoop Big Data Analytics Market Competitive And Growth Analysis 2024 | Google LLC, Microsoft Corporation, Dell Technologies, Amazon Web Services (AWS), Intel Corporation
"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.
Market Overview -
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.
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Intersection Of Hadoop Big Data Analytics And The Surge In Digital Payments
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.
Competitive Landscape -
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
Analytics Cloud Platform To Revolutionizing Big Data Analytics
Major companies operating in the hadoop big data analytics market are focusing on developing innovative advancements such as the Alteryx analytics cloud platform, to meet customer needs more effectively and maintain a competitive edge. It is a cloud-first software-as-a-service (SaaS) offering that automates data and analytic processing at scale. It integrates various technologies that enable unified, approachable, end-to-end cloud-based analytics. For instance, in October 2022, Alteryx LLC, a US-based software company, launched the Alteryx analytics cloud platform. This comprehensive and unified enterprise-grade analytics automation platform empowers users to make intelligent decisions. This cloud analytics solution delivers powerful, easy-to-use data analytic capabilities to all users, allowing them to leverage data connectivity and automate analytics processes. Additionally, the platform includes designer cloud, auto insights, and machine learning, among other features.
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Key Segments -
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
Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics
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