Hadoop Big Data Analytics Global Market Report 2024

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 expansion observed in the historical period can be attributed to several factors, including the surge in data volume (data explosion), robust vendor support and ecosystem growth, the advantage of open-source frameworks, the capability for parallel processing, and the flexibility in 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 anticipated growth in the forecast period can be attributed to various factors, including the integration of advanced analytics and machine learning, increased adoption of cloud technologies, a focus on data governance and security, integration of edge computing, and the rise of hybrid and multi-cloud deployments. Noteworthy trends in this period include the integration of edge analytics, the convergence of AI and machine learning, the adoption of containerization and microservices architecture, heightened security measures, and the development of customized industry-specific solutions.

The anticipated surge in the adoption of digital payments is set to drive the growth of the Hadoop big data analytics market. Digital payments involve the electronic transfer of money or value using digital devices or online platforms. Hadoop and big data analytics play a crucial role in optimizing the efficiency, security, and personalization of payment methods within the digital payments landscape. These technologies provide scalable and efficient solutions for processing, managing, and analyzing large volumes of data generated during transactions. As of March 2021, global digital payments were projected to reach $6.6 trillion, with mobile POS payments contributing nearly $2.5 trillion, or 37% of the total value. This figure is expected to witness a 90% increase to reach $4.6 trillion by 2025. Consequently, the growing adoption of digital payments is a key factor propelling the growth of the Hadoop big data analytics market.

Prominent companies in the Hadoop big data analytics market are concentrating on developing innovative solutions, such as the Alteryx analytics cloud platform, to meet customer needs more efficiently and maintain a competitive edge. The Alteryx analytics cloud platform, launched by Alteryx LLC in October 2022, is a cloud-first software-as-a-service (SaaS) offering that automates data and analytic processing at scale. This platform integrates various technologies to enable unified, approachable, end-to-end cloud-based analytics. With features such as designer cloud, auto insights, and machine learning, this comprehensive enterprise-grade analytics automation platform empowers users to make intelligent decisions by leveraging data connectivity and automating analytics processes.

In June 2021, Cloudera Inc., a US-based data cloud company, completed the acquisition of Datacoral Inc. for an undisclosed amount. This strategic move is part of Cloudera's transition to a new era of low-code, no-code self-service analytics. The acquisition aims to automate complex operations and shift the focus towards delivering value from data rather than managing infrastructure. Datacoral Inc., a US-based data infrastructure company, specializes in providing Hadoop big data analytics services and offers cloud-based, no-code data integration.

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.

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. The countries covered in the hadoop big data analytics market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Hadoop big data analytics involves the examination of extensive volumes of structured, semi-structured, and unstructured data utilizing the Hadoop framework. The primary objective of employing Hadoop in big data analytics is to offer a scalable, cost-effective, and adaptable platform that facilitates the storage, processing, and analysis of extensive and diverse datasets. Its application spans across diverse industries and domains, addressing a broad spectrum of purposes owing to its efficiency in processing and analyzing substantial amounts of data.

The primary components in Hadoop big data analytics can be categorized into solutions and services. Solutions encompass the resolution of problems and provide answers to various challenges. They involve different deployments, including cloud and on-premises, and serve various functions such as marketing and sales, operations, and finance. These solutions find applications across diverse organizations, spanning large enterprises and small and medium-sized enterprises. Additionally, they cater to various industry verticals, including banking and financial services, transportation and logistics, retail and e-commerce, manufacturing, information technology (IT) and telecommunications, healthcare and life sciences, government and public sector, media and entertainment, travel and hospitality, among others.

The hadoop big data analytics market research report is one of a series of new reports that provides hadoop big data analytics market statistics, including hadoop big data analytics industry global market size, regional shares, competitors with a hadoop big data analytics market share, detailed hadoop big data analytics market segments, market trends and opportunities, and any further data you may need to thrive in the hadoop big data analytics industry. This hadoop big data analytics market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The hadoop big data analytics market includes revenues earned by entities such as data storage, data processing, data management and analysis, mapreduce, and additional services. The market value includes the value of related goods sold by the service provider or included within the service offering. The hadoop big data analytics market also consists of sales of hadoop distributed file system, apache hadoop, cloudera data tools, and yet another resource negotiator (YARN). Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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