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.

The latest study on the Hadoop Big Data Analytics industry for the forecast period 20## to 20## blends in the best of both qualitative and quantitative research to assess the major driving forces, restraining factors and opportunities shaping the development of the Hadoop Big Data Analytics industry worldwide. When studying the major drivers a conscious effort is made to assess the rise in the product demand, changes in regulatory policies and fluctuating prices of the raw material. Importantly, the study quantifies the industry share occupied by the prominent vendors and offers an extensive view of the growing investment pocket in the Hadoop Big Data Analytics industry worldwide. Detailed evaluation of various aspects with respect to the geography for the estimated period forms an important part of the research.

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Competitive Outlook: The leading companies operating in the Hadoop Big Data Analytics market have been enumerated in this report. This section of the report lays emphasis on the geographical reach and production facilities of these companies. To get ahead of their rivals, the leading players are focusing more on offering products at competitive prices, according to our analysts.

Top Companies Operating in the Hadoop Big Data Analytics Market and 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

Objectives of the Report:

Study of the global Hadoop Big Data Analytics market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027)

Industrial structure analysis of the Hadoop Big Data Analytics market by identification of various sub-segments

Extensive analysis of key market players along with their SWOT analysis

Competitive landscape benchmarking

Analysis of Hadoop Big Data Analytics market based on growth trends, futuristic outlook, and contribution to the total growth of the market

Analysis of drivers, constraints, opportunities, challenges, and risks in the global Hadoop Big Data Analytics market

Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances

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Segments Covered in this report are:

• 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

Regional Segmentation:

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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