Hadoop Big Data Analytics Market Research Report Information By Component (Software and Services), Application (Risk & Fraud Analytics, IoT), Customer Analytics, Security Intelligence, Distributed Coordination Service, Merchandising Coordination Service, Merchandising & Supply Chain Analytics and others), End-User (BFSI, IT & Telecommunication, Retail, Government & Defense, Manufacturing, Transportation & Logistics, Healthcare and others) Region (North America, Europe, Asia-Pacific, And Rest Of The World) –Market Forecast Till 2032.

Hadoop Big Data Analytics Market Overview

The Hadoop Big Data Analytics Market is projected to grow from

USD 14.78 billion

in 2024 to

USD 80.6 billion

by 2032, exhibiting a compound annual growth rate

(CAGR) of 23.61%

during the forecast period (2024 - 2032). Additionally, the market size for Hadoop Big Data Analytics was valued at USD 11.60 billion in 2023.

The Big Data analytics industry is anticipated to change and increase as a result of the growing automation for the Big Data collecting, storage, and processing are the key market drivers enhancing the market growth.

Figure 1: Hadoop Big Data Analytics Market Size, 2024 - 2032 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Latest Industry News of Hadoop Big Data Analytics Market

The cloud-native version of Sisense's data analytics platform was released in 2019. The new augmented analytics feature in this edition is called AI Exploration. The feature uses well-known KPIs to automatically produce visuals and deeper insights. It achieves this by examining underlying data and user behaviour using machine learning. While dashboard designers can highlight the most crucial data insights, AI Exploration directs end users towards solutions they were unaware they already had.

Hadoop Big Data Analytics Market Trends

Growing usage of online payment is driving the market growth

Rising digital payments drive Market CAGR for Hadoop Big Data Analytics supplements. Smart payments and contactless payments work hand in hand. As IoT automates and links many processes and jobs, smart payments expedite the moving of money among several parties. In addition to contactless cards, key fobs, and wearables are used more often for contactless payments. Several digital businesses are utilizing ML to glean insights from the commercial world. Public transit systems have also developed, moving away from paper and cash transactions and towards computerized payment methods. One of the growing sectors that have been effective in generating substantial customer value during COVID-19's unprecedented economic collapse is digital banking. Companies are already growing due to the increased use of digital payments to reimagine public transportation payment systems. This is due to the development of creative technology. Particularly during the past two years, platforms like PayPal, Visa,

MasterCard

, and American Express have invested repeatedly in payment businesses. The COVID-19 crisis, which has caused societal estrangement, has enhanced the use of smart payment technology. The rise in COVID-19 instances has also accelerated the spread of contactless payments. During this epidemic, governments are recommending their citizens utilize digital and contactless payment methods because the exchange of physical cash might increase the incidence of COVID-19.

Businesses in many sectors are experiencing

digital transformation

and enhancing their self-service offerings. Hence, when data volume increases from gigabytes to terabytes and petabytes, traditional solutions like RDBMS cannot keep up with the growth of unstructured data in text, files, photos, and photographs. If anticipated outcomes are not obtained, the large daily amount of data collected may not fully benefit the firm. As a result, Hadoop and other data platforms are growing in popularity as businesses get closer to terabytes of data. Big data was created due to the industry players' close operational observation of their everyday activities. This action is mostly conducted to get a competitive edge over competing businesses and to understand their tactics more. Due to such a strategic industry trend, the Hadoop big data analytics market.

Hadoop Big Data Analytics Market Segment Insights

Hadoop Big Data Analytics Component Insights

Based on components, the Hadoop Big Data Analytics market segmentation includes software and Services. The software segment dominated the market, accounting for 71% of market revenue. Businesses utilize Hadoop big data analytics software to manage, scale, and distribute consumer and company data. This facilitates metrics collecting from the data cluster of individual computers and produces reports.

Figure 2: Hadoop Big Data Analytics Market, by Component, 2022 & 2032 (USD billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Hadoop Big Data Analytics Application Insights

The Hadoop Big Data Analytics market segmentation is based on application, risk & fraud analytics, internet of things (IoT),

customer analytics

, security intelligence, distributed coordination service, merchandising coordination service, merchandising & supply chain analytics, and others. The risk & fraud analytics category generated the most income (70.4%). The widespread use of Hadoop big data analytics across several industry verticals to stop potential security breaches and frauds is responsible for this market segment's expansion.

Hadoop Big Data Analytics End-User Insights

Based on end-user, the Hadoop Big Data Analytics market segmentation BFSI, IT & telecommunication, retail, government & defense, manufacturing, transportation & logistics, healthcare, and others. The retail segment held the majority share in 2022, contributing around ~33% concerning the Hadoop Big Data Analytics market revenue. Big data and sophisticated analytics technology are driving a huge revolution in the retail sector. Retailers are using Big Data analytics to stay competitive as e-commerce, online shopping, and strong customer loyalty competition rise. Big Data analytics are employed in the retail industry at every stage of the sales process to comprehend consumer behavior, forecast demand, and adjust prices. Most retail big data applications focus on real-time analytics and targeting, data-driven adaptive supply chains, and system-wide cost reduction.

Hadoop Big Data Analytics Regional Insights

By Region, the study provides the market insights into North America, Europe, Asia-Pacific and Rest of the World. The North American Hadoop Big Data Analytics market area will dominate this market, The rise of the Big Data analytics industry in the US is being facilitated by the emergence of new business insights. Several businesses in the area are using big data to increase business performance by enhancing marketing, identifying fraud and waste, and improving customer experience.In the US, a lot of new tools are increasing access to data. The complexity of the technology needed to use Big Data effectively and the knowledge necessary to design productive workplaces is considerable.

Further, the major countries studied in the market report are Canada, German, The U.S., France, the UK, Italy, Australia, Spain, China, Japan, India, South Korea, and Brazil.

Figure 3: HADOOP BIG DATA ANALYTICS MARKET SHARE BY REGION 2022 (%)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Europe's Hadoop Big Data Analytics market accounts for the second-largest market share due to greater room for embracing Big Data analytics due to the expansion of industrial 4.0 methods across sectors. Moreover, the UK had the fastest-growing Hadoop Big Data Analytics market in the European area. At the same time, Germany held the greatest.

The Hadoop Big Data Analytics Market in Asia-Pacific is anticipated to see the quickest CAGR between 2023 and 2032. This is due to the quickening of industry and urbanization. During the next eight years, government efforts like the development of smart cities are expected to create several growth prospects. Moreover, China’s Hadoop Big Data Analytics market held the largest market share, and the Indian Hadoop Big Data Analytics market was the fastest-growing market in the Asia-Pacific region.

Hadoop Big Data Analytics Key Market Players & Competitive Insights

Leading industry businesses invest significant R&D investments in diversifying their product offerings, which will drive the Hadoop Big Data Analytics industry's expansion. Important market developments include new product releases, mutual arrangements, acquisitions and mergers, higher investments, and collaboration with other organizations. Market participants also engage in various proactive actions to increase their worldwide presence. The Hadoop Big Data Analytics industry must offer good prices to grow and thrive in a more competitive environment.

One of the key business strategies manufacturers employ in the worldwide Hadoop Big Data Analytics industry to assist consumers and grow the market sector is regional manufacturing to cut expenses. In recent years, the Hadoop Big Data Analytics industry has offered some of the most significant advantages. Major players in the Hadoop Big Data Analytics market, Google, and others, are attempting to increase market demand by investing in research and development operations.

Online advertising, search engine technology, cloud computing, computer software,

quantum computing

, e-commerce, artificial intelligence, and consumer electronics are the main areas of interest for Google LLC, an American multinational technology firm. In July 2020, BigQuery Omni powered by Anthos for Multi-Cloud Analytics was unveiled by Google Cloud. Without having to pay exorbitant egress costs for transporting data from other cloud providers to Google Cloud, BigQuery Omni gives businesses the freedom they need to eliminate silos and provide relevant business insights. Customers can access, evaluate, and discover new insights more safely, affordably, and efficiently, enabling business innovation.

The Hewlett Packard Enterprise Company offers customers in the Americas, Europe, the Middle East, Africa, the Asia Pacific, and Japan technologies that enable seamless data collection, analysis, and action. Its six business categories comprise compute, HPC & AI, Storage, Intelligent Edge, Financial Services, Corporate Investments, and Others. In June 2020, HPE introduced a new software portfolio and brand called HPE Ezmeral, which would quicken data-driven change in all enterprises. A comprehensive portfolio is offered by HPE Ezmeral, including security, cost management, IT automation and Al-driven operations, data analytics, and container orchestration and administration.

Key Companies in the Hadoop Big Data Analytics market include

• Alteryx Inc.


• Fair, Isaac, and Company(FICO)


• IBM Corporation


• Microsoft Corporation


• Micro Strategy Incorporated


• SAS Institute Inc.


• Tibco Software


• Amazon Inc. (AWS)


• Cloudera


• QLIK Tech International


• SISENSE Inc.


• Dell Technologies


• Hitachi Consulting


• Hewlett Packard Company


• Splunk Inc.

Hadoop Big Data Analytics Industry Developments

October 2022:

The Alteryx Analytics Cloud platform, which offers unified and approachable end-to-end analytics in the Cloud, has introduced breakthroughs. New cloud, machine learning, and security advances speed up enterprise-wide analytics to deliver game-changing insights.

April 2020:

To aid the Health and Research Community in hastening the development of medical insights and COVID-19 therapies, IBM introduced revolutionary Al-powered technologies.

Hadoop Big Data Analytics Market Segmentation

Hadoop Big Data Analytics Component Outlook

• Software


• Services

Hadoop Big Data Analytics Application Outlook

• Risk & Fraud Analytics


• Internet of Things (IoT)


• Customer Analytics


• Security Intelligence


• Distributed Coordination Service


• Merchandising Coordination Service


• Merchandising & Supply Chain Analytics


• Others

Hadoop Big Data Analytics End-User Outlook

• BFSI


• IT & Telecommunication


• Retail


• Government & Defense


• Manufacturing


• Transportation & Logistics


• Healthcare


• Others

Hadoop Big Data Analytics Regional Outlook

• North America

• US


• Canada

• Europe

• Germany


• France


• UK


• Italy


• Spain


• Rest of Europe

• Asia-Pacific
  
  
  • China
  
  
  • Japan
  
  
  • India
  
  
  • Australia
  
  
  • South Korea
  
  
  • Australia
  
  
  • Rest of Asia-Pacific
  
  
  
  


• 
  Rest of the World
  
  
  • Middle East
  
  
  • Africa
  
  
  • Latin America
  
  
  
  

Attribute/Metric	Details
Market Size 2023	USD 11.60 billion
Market Size 2024	USD 14.78 billion
Market Size 2032	USD 80.6 billion
Compound Annual Growth Rate (CAGR)	23.61% (2024-2032)
Base Year	2023
Market Forecast Period	2024-2032
Historical Data	2019- 2021
Market Forecast Units	Value (USD Billion)
Report Coverage	Revenue Forecast, Market Competitive Landscape, Growth Factors, and Trends
Segments Covered	Component, Application, End User, and Region
Geographies Covered	North America, Europe, Asia Pacific, and the Rest of the World
Countries Covered	The U.S., Canada, German, France, UK, Italy, Spain, China, Japan, India, Australia, South Korea, and Brazil
Key Companies Profiled	Amazon Web Services (U.S.) IBM Corporation (U.S.) Datameer Inc. (U.S.) Pentaho Corporation (U.S.) Teradata Corporation (U.S.) Cloudera Inc. (U.S.) Microsoft Corporation (U.S.) Karmasphere Inc. (U.S.) Tableau Software Inc. (U.S.) MapR Technologies (U.S.).
Key Market Opportunities	Increasing Digitalization to Offer Robust Opportunities
Key Market Dynamics	Convergence of IoT and Big Data to Bolster Market Growth