Hadoop Market 2023 – 2030 By Industry Vertical (Manufacturing, BFSI, Retail & Consumer Goods, IT & Telecommunication, Healthcare, Government & Defense, Media & Entertainment, Energy & Utility, Trade & Transportation, Component (Hardware, Software, and Services), Deployment Model (On-premise, Cloud, and Hybrid), Enterprise Size (Large Enterprises and SMEs), - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional Footprints by MarketDigits

Industry : Information Technology | Pages : 149 Pages | Published On : Dec 2023

         
     

According to market statistics, the global hadoop market reached a value of $35.74 billion in 2020 and is estimated to reach $842.25 billion by 2030, with a compound annual growth rate (CAGR) of 37.4% from 2021 to 2030.

Hadoop is an open-source framework that efficiently stores and processes large datasets, ranging from gigabytes to petabytes. Unlike using a single computer, Hadoop enables the clustering of multiple computers to analyze massive datasets in parallel, leading to faster processing. The Hadoop ecosystem encompasses various tools and applications for collecting, storing, processing, analyzing, and managing big data.

The adoption of Hadoop has witnessed a rise during the COVID-19 pandemic due to the increasing demand for digital transformation across industries and the need for Hadoop software to analyze large volumes of data among SMEs and large enterprises. The growth of the global Hadoop market is driven by cost-effective and fast data processing capabilities and the proliferation of unstructured data. Additionally, the growing demand for data analytics positively impacts market growth. However, concerns about security related to Hadoop architecture, distributed computing, data access, and fragmented data pose challenges to market growth. On the other hand, partnerships, funding activities, and data fusion present lucrative opportunities for market expansion during the forecast period.

In terms of components, the services segment holds the largest share in the Hadoop market, driven by increased venture capital investment in Hadoop integration and deployment services. However, the software segment is expected to grow at the highest rate as developers increasingly adopt Hadoop to build real-time applications, simplify complex products, and analyze data stored in Hadoop. Geographically, North America dominated the Hadoop market in 2020 and is likely to maintain its position due to early adoption and high technological advancements. However, the Asia-Pacific region is expected to witness significant growth during the forecast period, propelled by digitization initiatives and the increasing volume of data generated by IoT devices.

By Component
Segment Overview

The global Hadoop market is divided into different segments based on components, deployment models, enterprise sizes, industry verticals, and regions. In terms of components, it is categorized into hardware, software, and services. The deployment models include on-premise, cloud, and hybrid. It is further bifurcated by enterprise size into large enterprises and SMEs. Industry verticals encompass manufacturing, BFSI, retail & consumer goods, IT & telecommunications, healthcare, government & defense, media & entertainment, energy & utilities, trade & transportation, and others. The market is analyzed across North America, Europe, Asia-Pacific, and LAMEA regions. Leading players in the global Hadoop industry include Amazon Web Services, Inc., Cisco Systems, Inc., Cloudera, Inc., Datameer, Inc., Hitachi Vantara Corporation, Fair Isaac Corporation, MapR Technologies, MarkLogic, Microsoft Corporation, and Teradata Corporation. These companies have employed various strategies to expand their market presence and strengthen their positions in the industry.

Impact of COVID-19
The Hadoop market experienced significant growth in recent years. However, the outbreak of the COVID-19 pandemic led to a sharp decline in the market in 2020 due to lockdown measures and travel restrictions implemented by governments worldwide to curb the spread of the virus. As the world recovers from the pandemic, the Hadoop industry is expected to regain its growth trajectory. The shift to remote work culture has generated a demand for cloud-based Hadoop analytics to manage critical information, presenting a potential market opportunity. The increasing volume of data generated by various industries and the need to effectively manage this data are key factors driving market growth. Governments across the globe have also adopted Hadoop analytics to update real-time COVID-19 data and derive actionable insights. Additionally, Hadoop facilitates data aggregation and synthesis for researchers, healthcare workers, and scientists on a global scale.

Key Influencing Factors
Cost-effective and Fast Data Processing

Hadoop offers an efficient and cost-effective platform for processing big data as it operates on commodity servers with attached storage, which is a more affordable architecture compared to dedicated storage area networks (SANs). Scalability is another advantage of Hadoop clusters, allowing for easy expansion as big data programs grow in size and business value. Furthermore, Hadoop helps reduce the costs of maintaining existing enterprise data warehouses by offloading essential extract-transport-load (ETL) tasks to lower-cost Hadoop clusters. Since ETL processes consume significant processing cycles, it is more resource-efficient to execute them on Hadoop clusters rather than high-end machines where enterprise data warehouses reside.

Handling Large Volumes of Unstructured Data
The demand for Hadoop is growing due to the increasing volume of unstructured data from various devices such as computers, smartphones, traffic cameras, RFID readers, and more. Unstructured data comes in various formats, including images, text, videos, documents, and others. Hadoop's ability to process unstructured data, which accounts for over 80% of global data, is a significant driver for its market expansion. For example, using a Hadoop cluster on Amazon's AWS, a single employee converted 11 million pages and 4TB of data from New York Times articles produced between 1851 and 1922 in just 24 hours at a low cost. Hadoop can handle both structured and unstructured data in a data warehouse or relational database, enabling more informed decisions based on comprehensive data, thereby boosting the market size of Hadoop.

Key Benefits for Stakeholders:
• The report offers a comprehensive analysis of the global Hadoop market, including current and future trends, to assist stakeholders in identifying potential investment opportunities.
• It provides insights into the key drivers, restraints, and opportunities, along with their impact analysis on the Hadoop market, aiding stakeholders in understanding the market dynamics.
• The Porter's Five Forces analysis evaluates the bargaining power of buyers and suppliers in the industry, giving stakeholders a clear picture of the market's competitive landscape.
• The report includes a quantitative analysis of the market from 2021 to 2030, enabling stakeholders to assess the market's potential and make informed business decisions.

Hadoop Market Report Highlights
By Component

• Hardware
• Software
• Service

By Deployment Model
• On Premise
• Cloud
• Hybrid

By Enterprise size
• Large Enterprises
• SMEs

By Industry Vertical
• Manufacturing
• BFSI
• Retail & Consumer Goods
• IT & Telecommunications
• Healthcare
• Government & Defense
• Media & Entertainment
• Energy & Utility
• Trade & Transportation
• Others

By Region
• North America  (U.S., Canada)
• Europe   (UK, Germany, France, Russia, Rest of Europe)
• Asia-Pacific   (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific)
• LAMEA  (Latin America, Middle East, Africa)

By Key Market Players
• Amazon Web Services
• Cisco Systems, Inc.
• Cloudera, Inc.
• Datameer, Inc.
• Hitachi Data Systems
• Fair Isaac Corporation
• MapR Technologies
• MarkLogic
• Microsoft Corporation
• Teradata Corporation

 

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Table and Figures

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