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Hadoop Big Data Analytics Market Price, Industry Outlook, Classification and Forecast 2022 to 2027 – Bloomingprairieonline

the global hadoop big data analytics market should go from $13.0 billion in 2020 for $28.7 billion by 2027, at a CAGR of 12.0% from 2021 to 2027. Hadoop is an open-source software framework for storing and processing data on commodity hardware clusters. It has plenty of storage space for all data, great processing power, and can handle almost unlimited concurrent processes or tasks.

Various factors such as increased use of digitization in enterprises, increased investment in analytics, and increased adoption of smart payment technologies are driving the adoption of Hadoop big data analytics. Also, growing demand for Hadoop from end-user applications and growing use of social media applications for customer engagement will propel the market forward. Moreover, the growing developments of major industry players and other strategic alliances will generate a lucrative demand for this market. For example, Dell Inc. launched out-of-the-box AI solutions on August 8, 2018, including Hadoop machine learning and Nvidia deep learning. This solution has been launched in Canada, Brazil, Mexico, Germany, France, United Kingdom, Australia, India, China and Japan. However, legal concerns and data privacy issues will act as a major impediment to the growth of the global Hadoop big data analytics market during the projected period.

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Global Hadoop Big Data Analytics Market Dynamics

Drivers: Growing Popularity of Scanning Technology

Digital banking is growing tremendously in various sectors that have effectively generated real value for the consumer amid the record-breaking economic downturn of COVID-19. Businesses are already seeing revenue due to the increased use of digital payments to reinvent urban transit payment systems, thanks to the rise of innovative technologies. Payment platforms such as Visa, MasterCard, PayPal and American Express have been serial investors in payment companies in recent years. Additionally, various organizations and government agencies are developing the necessary infrastructure and regulatory framework to enable more convenient and secure digital money transfer. Growing scanning technology across different verticles is increasing the demand for the Hadoop data analytics market.

Constraints: Concern about data security and privacy

Whether intentionally or not, the misuse of data can have major legal ramifications for businesses and their customers. To ensure that any use of data does not violate government law, companies should clarify the terms of use, procedure, and retention of data in their project contracts. When organizations collect profile data, the potential for identity theft increases, especially if the data is not secure, hackers, viruses, and disk damage, among others, can compromise this information. If companies strategize on this fake data, it could cause major problems for all users. Therefore, before using the data acquired from various applications, organizations need to thoroughly assess all the legal and privacy risks that are restraining the market growth.

Opportunities: The growing trend toward visualization-based data discovery tools

Today’s trending business intelligence and analytics market topic is data visualization and exploratory analysis for business users. Visualization-based data discovery tools support self-service business intelligence (BI), enabling a wide range of people to quickly combine and combine data from a variety of sources, including breadcrumbs, log files, social media, videos, etc. Any business that wants to get more value from big data should study the growing trend toward visualization-based data discovery tools. The potential business benefits are substantial, and data governance standards can help make the transition secure. Additionally, the growing use of mobile devices is increasing the adoption of visualization-based data discovery solutions. Hence, creating lucrative growth opportunity for Hadoop big data analytics market in coming years.

Report scope

The study categorizes the deployment mode based on the Hadoop Big Data Analytics market, organization size, component, business function, and vertical at regional and global levels.

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By Deployment Mode (Revenue, USD Billion, 2017-2027)

By Organization Size (Revenue, USD Billion, 2017-2027)

By Component (Revenue, USD Billion, 2017-2027)

By Business Function (Revenue, USD Billion, 2017-2027)

  • Marketing and Sales
  • Operations
  • Finance
  • Human ressources

By Vertical (Revenue, USD Billion, 2017-2027)

  • BFSI
  • Transport and logistics
  • Retail and e-commerce
  • Manufacturing
  • Telecommunications and IT
  • Health and life sciences
  • Government and public sector
  • Media and Entertainment
  • travel and hospitality
  • Others

By Region (Revenue, USD Billion, 2017-2027)

  • North America (United States, Canada, Mexico)
  • South America (Brazil, Argentina, Colombia, Peru, Rest of Latin America)
  • Europe (Germany, Italy, France, United Kingdom, Spain, Poland, Russia, Slovenia, Slovakia, Hungary, Czech Republic, Belgium, Netherlands, Norway, Sweden, Denmark, Rest of Europe)
  • Asia-Pacific (China, Japan, India, South Korea, Indonesia, Malaysia, Thailand, Vietnam, Myanmar, Cambodia, Philippines, Singapore, Australia and New Zealand, Rest of Asia-Pacific)
  • The Middle East and Africa (Saudi Arabia, United Arab Emirates, South Africa, North Africa, Rest of MEA)

Solution Segment of Hadoop Big Data Analytics Market Expected to Account for Largest Share by Component

The Hadoop big data analytics market has been segmented into component-based solutions and services. The solutions segment accounted for the largest share of the global Hadoop big data analytics market in 2020. Enterprises use Hadoop big data analytics software to manage, scale and distribute consumer and business data . It also makes it easy to collect metrics from specific machine data clusters and generate reports. Growing demand for Hadoop-based solutions that are exceptionally scalable and cost-effective for managing large datasets in distributed computing environments.

Asia-Pacific accounts for the highest CAGR over the forecast period in the Hadoop big data analytics market

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Based on regions, the global Hadoop Big Data Analytics market has been segmented into North America, Asia-Pacific, Europe, South America, and Middle East & Africa. Four main countries namely China, India, Japan and rest of Asia-Pacific are analyzed in Asia-Pacific. Asia-Pacific ranks second in the global Hadoop big data analytics market. China accounted for a large share of this market in 2020, and India is expected to grow rapidly over the forecast period.

China holds a significant share of the Hadoop big data analytics market in terms of usage and development. However, developing countries such as India, Singapore, Hong Kong, Taiwan and others have been recognized as important markets, due to their rapid technological growth. The importance of IoT in connecting devices to establish a connection between other devices has positively influenced the growth of the market.

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Main market players

The Hadoop big data analytics market is slightly concentrated in nature with few global players operating in the market such as Microsoft, AWS, Cloudera, HPE, IBM, Oracle, SAP, Google, SAS Institute, Salesforce and others. These players have adopted various winning strategies to gain higher shares or maintain leading positions in the market.