As part of Emergen Research's Global Hadoop Big Data Analytics Market Research Report, key business details and extensive geographical spread of the Hadoop Big Data Analytics industry have been analyzed. As well as a comprehensive qualitative and quantitative analysis, the study contains crucial statistics about the Hadoop Big Data Analytics market. A detailed forecast is provided until 2028 based on historical data from 2017 and 2018. Also included are profiles of established and emerging players, including business overviews, product portfolios, strategic alliances, and business expansion strategies. The current COVID-19 pandemic is expected to have an effect on the growth of the Hadoop Big Data Analytics industry, primarily as a result of movement restrictions and impact on supply and demand due to lockdowns. In the wake of the COVID-19 pandemic, several sectors of the global market have been affected, and Hadoop Big Data Analytics will likely be among them. Economic slowdown and dynamic changes in demand will further hinder the growth of the sector. The report covers the impact analysis of the COVID-19 pandemic on the overall Hadoop Big Data Analytics industry.
Global Hadoop big data analytics market size reached USD 12.67 Billion in 2020 and is expected to register a revenue CAGR of 12.2% during the forecast period, according to the latest analysis by Emergen Research. Key factors driving revenue growth of global Hadoop big data analytics market include surge in adoption of smart payment solutions and increased need for cost-effective storage solutions. IoT automates and unifies various processes and activities. Meanwhile, contactless payments enable easy payment processes as they enable customers to pay for products and services using their payment cards connected with RFID technology or other payment devices without the need to swipe, input a personal identification number (PIN), or sign for the transaction. For example, in February 2022, Apple has revealed plans to launch Tap to Pay in various iPhone models. This would enable various merchants using iPhones in the U.S. to smoothly and securely transact using Apple Pay, contactless credit and debit cards, and other digital wallets. In addition, contactless payments are done using devices, such as fobs and wearables. Wearable contactless payment devices, such as smartwatches, smart rings, key fobs, and others, are connected directly to the customer\'s bank accounts and function in a similar manner as a regular debit card, allowing payments at any merchants store that accepts contactless transactions. The tap-and-go payment method allows merchants more safe and error-free payment options.
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The report bifurcates the Hadoop Big Data Analytics market on the basis of different product types, applications, end-user industries, and key regions of the world where the market has already established its presence. The report accurately offers insights into the supply-demand ratio and production and consumption volume of each segment.
The section on the competitive landscape offers valuable and actionable insights related to the business sphere of the Hadoop Big Data Analytics market, covering extensive profiling of the key market players. The report offers information about market share, product portfolio, pricing analysis, and strategic alliances such as mergers and acquisitions, joint ventures, collaborations, partnerships, product launches and brand promotions, among others. The report also discusses the initiatives taken by the key companies to combat the impact of the COVID-19 pandemic.
Key Companies Profiled in the Report are:
Microsoft Corporation, Google LLC, Oracle Corporation, Amazon Web Services, Hewlett Packard Enterprise, SAP SE, Salesforce.com, Inc., Micro Focus International plc, Splunk Inc., and Imply Corporation
Regional Landscape section of the Hadoop Big Data Analytics report offers deeper insights into the regulatory framework, current and emerging market trends, production and consumption patterns, supply and demand dynamics, import/export, and presence of major players in each region.
The various regions analyzed in the report include:
- North America (U.S., Canada)
- Europe (U.K., Italy, Germany, France, Rest of EU)
- Asia Pacific (India, Japan, China, South Korea, Australia, Rest of APAC)
- Latin America (Chile, Brazil, Argentina, Rest of Latin America)
- Middle East Africa (Saudi Arabia, U.A.E., South Africa, Rest of MEA)
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Furthermore, the report provides the analytical data in an organized format segmented into charts, tables, graphs, figures, and diagrams. This enables readers to understand the market scenario in an easy and beneficial manner. Moreover, the report aims to impart a prospective outlook and draw an informative conclusion to assist the reader in making lucrative business decisions. The report, in conclusion, provides a detailed analysis of the segments expected to dominate the market, the regional bifurcation, the estimated market size and share, and comprehensive SWOT analysis and Porter’s Five Forces Analysis.
On the basis of type, the market is segmented into
Component Outlook (Revenue, USD Billion; 2018–2028)
- Solution
- Services
Deployment Outlook (Revenue, USD Billion; 2018–2028)
- On-premises
- Cloud
Application Outlook (Revenue, USD Billion; 2018–2028)
- Customer Analytics
- Risk Fraud Analytics
- Security Intelligence
- Internet of Things (IoT)
- Supply Chain Analytics
- Others
Research Report on the Hadoop Big Data Analytics Market Addresses the Following Key Questions:
- Who are the dominant players of the Hadoop Big Data Analytics market?
- Which regional market is anticipated to have a high growth rate over the projected period?
- What consumer trends and demands are expected to influence the operations of the market players in the Hadoop Big Data Analytics market?
- What are the key growth drivers and restraining factors of the Hadoop Big Data Analytics market?
- What are the expansion plans and strategic investment plans undertaken by the players to gain a robust footing in the market?
- What is the overall impact of the COVID-19 pandemic on the Hadoop Big Data Analytics market and its key segments?
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