Press release
Hadoop Market Size Poised for USD 842.25 billion Milestone by 2030 At a CAGR of 37.4%
The ๐๐๐๐จ๐จ๐ฉ ๐๐๐ซ๐ค๐๐ญ report offers an in depth study of the market trends, opportunity, analysis, and future estimations to determine the imminent investment pockets. Increase in competition in the business environment, rise in adoption of Hadoop-as-a-Service by small and medium enterprises (SMEs), and flexibility and agility for businesses provided by Hadoop drive the growth of the global Hadoop market. On the other hand, low security for highly confidential data and lack of awareness regarding the advantages of Hadoop technology impede the market. Nevertheless, ongoing partnerships and funding taking place and growth in popularity of e-commerce are anticipated to present worthwhile opportunities to market players.๐๐จ๐ฐ๐ง๐ฅ๐จ๐๐ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐๐๐ฉ๐จ๐ซ๐ญ (๐๐๐ญ ๐ ๐ฎ๐ฅ๐ฅ ๐๐ง๐ฌ๐ข๐ ๐ก๐ญ๐ฌ ๐ข๐ง ๐๐๐ - 283 ๐๐๐ ๐๐ฌ) ๐๐ญ: https://www.alliedmarketresearch.com/request-sample/835
Hadoop is an Apache Software Foundation-managed open-source project. It is a distributed processing technique that may be utilized for big data analysis in a variety of industries. In addition, when compared to standard data analysis tools, such as RDBMS (Relational Database Management System), it is less expensive. Hadoop began as a simple, powerful, efficient, and distributed platform. Its implementation, on the other hand, includes advantages such as scalability, which helps to lower operational costs, and the utilization of commodity hardware for dependable distribution. Compared to a sophisticated algorithm and raw data, Hadoop architecture offers a lot simpler algorithm and more data availability. Cost-effective and fast data processing and large volumes of unstructured data boost the growth of the global Hadoop market. In addition, increase in demand for data analytics positively impacts the growth of the market. However, increase in security concerns regarding Hadoop architecture, distributed computing, and access to data and fragmented data hamper the market growth. On the contrary, partnerships and funding's taking place in Hadoop market and data fusion is expected to offer remunerative opportunities for expansion of the market during the forecast period.
The Hadoop market is segmented on the basis of component, deployment model, organization size, end user, and region. Based on component, the services segment dominated the market with the largest share in 2019, contributing to more than two-fifths of the global Hadoop market. On the other hand, the software segment is anticipated to register the highest CAGR of 39.7% from 2020 to 2027. The report also includes hardware segment.
๐๐ฎ๐ฒ ๐๐จ๐ฐ & ๐๐๐ญ ๐๐ฑ๐๐ฅ๐ฎ๐ฌ๐ข๐ฏ๐ ๐๐ข๐ฌ๐๐จ๐ฎ๐ง๐ญ ๐จ๐ง ๐ญ๐ก๐ข๐ฌ ๐๐๐ฉ๐จ๐ซ๐ญ : https://www.alliedmarketresearch.com/world-hadoop-market/purchase-options
Based on region, the global Hadoop market across North America held the lion's share in 2019, with around two-fifths of the market. On the other hand, the market across Asia-Pacific is projected to register the highest CAGR of 42.2% during the forecast period. Other region studied in the report include LAMEA and Europe.
Depending on industry vertical, the IT & telecommunication segment holds the largest market share in the Hadoop market due to huge amount of data generated in the telecom sector through call records, text messages, and data transfer. However, the trade & transportation segment is expected to grow at the highest rate during the forecast period, owing to increasing data generation in the logistics department and Hadoop deployment for handling this generated data.
๐๐ก๐ ๐ค๐๐ฒ ๐ฉ๐ฅ๐๐ฒ๐๐ซ๐ฌ ๐ฉ๐ซ๐จ๐๐ข๐ฅ๐๐ ๐ข๐ง ๐ญ๐ก๐ข๐ฌ ๐ซ๐๐ฉ๐จ๐ซ๐ญ ๐ข๐ง๐๐ฅ๐ฎ๐๐
Amazon Web Services
Cisco Systems, Inc.
Cloudera, Inc.
Datameer, Inc.
Hitachi Data Systems
Fair Isaac Corporation
MapR Technologies
MarkLogic
Microsoft Corporation
Teradata Corporation
๐๐๐ญ ๐๐ฎ๐ฌ๐ญ๐จ๐ฆ๐ข๐ณ๐๐ ๐๐๐ฉ๐จ๐ซ๐ญ๐ฌ ๐ฐ๐ข๐ญ๐ก ๐ฒ๐จ๐ฎ'๐ซ๐ ๐๐๐ช๐ฎ๐ข๐ซ๐๐ฆ๐๐ง๐ญ๐ฌ: https://www.alliedmarketresearch.com/request-for-customization/835
Region wise, the Hadoop market size was dominated by North America in 2020, and is expected to retain its position during the forecast period, owing to strong economic growth along with the ongoing development in the services sector, which drives business enterprises to invest heavily in business analytics software to sustain growth and improve productivity. However, Asia-Pacific is expected to witness significant growth during the forecast period, owing to shift toward digital transformation, rise in cloud deployment among small & medium businesses, and ongoing modernization of manufacturing drive heavy investment in emerging economies is expected to boost the Hadoop market size.
Based on end user, the market is divided on the basis of BFSI, retail & consumer goods, IT & telecommunication, healthcare, government & defense, media & entertainment, energy & utility, trade & transportation, and others. The IT and telecommunication segment held the largest share in 2019, accounting for around one-fifth of the global Hadoop market. However, the trade and transportation segment is projected to portray the fastest CAGR of 45.7% during the forecast period.
๐๐ง๐ช๐ฎ๐ข๐ซ๐ฒ ๐๐๐๐จ๐ซ๐ ๐๐ฎ๐ฒ๐ข๐ง๐ : https://www.alliedmarketresearch.com/purchase-enquiry/835
๐๐๐ฒ ๐ ๐ข๐ง๐๐ข๐ง๐ ๐ฌ ๐๐ ๐๐ก๐ ๐๐ญ๐ฎ๐๐ฒ
By component, the services segment accounted for the largest Hadoop market share in 2020.
Region wise, North America generated the highest revenue in 2020.
On the basis of deployment model, the on premise segmented generated the highest revenue in 2020.
๐๐ญ๐ก๐๐ซ ๐๐ซ๐๐ง๐๐ข๐ง๐ ๐๐๐ฉ๐จ๐ซ๐ญ๐ฌ:
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Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.
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