Emergen Research’s latest market research report focuses on the global Hadoop Big Data Analytics Market, and the report provides in-depth analysis of each of its major segments. The SWOT analysis and Porter’s Five Forces Analysis are some of the most important components of this report that provide insight into the highly competitive environment of the industry. Aside from revenue growth drivers & restraints, production & consumption patterns, changing consumer preferences, and stringent regulatory standards, this report also examines other key aspects of regional markets. As per the report, the current pandemic is one of the major contributing elements for the potential decline of the market in the coming years. The business sector has been drastically affected by the pandemic, which has adversely altered the market dynamics and demand trends. Financial difficulties brought by the pandemic have delayed the progress rate of various businesses and disrupted the global supply chains. Reports about the global Hadoop Big Data Analytics market provide a comprehensive overview of the market, including market size, revenue growth rate, industry statistics, revenue shares among regional markets, gross profits, production costs, and product portfolios. The report also highlights the most important factors influencing industry revenue growth, including drivers, opportunities, trends, restraints, challenges, demand and supply ratios, production and consumption patterns, strict regulatory frameworks, and a multitude of micro-economic and macro-economic factors. Hadoop Big Data Analytics industry projections and qualitative and quantitative assessments have been provided by the report's authors.

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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Leading manufacturers profiled in the report:

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

Major Geographies Analyzed in the Report:

  • 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)

Target Audience of the Global Hadoop Big Data Analytics Market Report:

  • Key Market Players
  • Investors
  • Venture capitalists
  • Small- and medium-sized and large enterprises
  • Third-party knowledge providers
  • Value-Added Resellers (VARs)
  • Global market producers, distributors, traders, and suppliers
  • Research organizations, consulting companies, and various alliances interested in this sector
  • Government bodies, independent regulatory authorities, and policymakers

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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

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.

Additional information offered by the report:

  • Along with a complete overview of the global Hadoop Big Data Analytics market, the report provides detailed scrutiny of the diverse market trends observed on both regional and global levels.
  • The report elaborates on the global Hadoop Big Data Analytics market size and share governed by the major geographies.
  • It performs a precise market growth forecast analysis, cost analysis, and a study of the micro- and macro-economic indicators.
  • It further presents a detailed description of the company profiles of the key market contenders.

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