Hadoop Big Data Analytics Market Overview :
Hadoop Big Data Analytics Market is analysed to grow at a CAGR of 19.31% during the forecast 2022-2027 to reach $24.43 billion by 2027. Hadoop is an open source structure software platform which is developed for scalable and distributed computing of large volume of data. It provides high performance and cost-effective analysis of Big Data generated by the enterprises through digital platforms and offers data discovery and visualization, social media analytics, distributed file system, hypertext transfer protocol and other enterprise applications of various both unstructured and structured data types. With the increasing deployment of cloud-based solutions and its integration with internet of things (IoT) tend to be a major driving factor for the growth of Hadoop Big Data Analytics Market size during the forecast period. For instance, SAS, a multinational developer of analytics software created a best-in-class hybrid cloud analytics solution with its Red Hat which aimed to accelerate customer adoption of analytics across various enterprises with its integration with existing cloud and IoT solutions. This partnership tends to accelerate the Hadoop Big Data Analytics industry for various enterprise applications during the forecast period.
Report Coverage :
The report: “Hadoop Big Data Analytics Industry Outlook – Forecast (2022-2027)”, by Industry ARC covers an in-depth analysis of the following segments of the Hadoop Big Data Analytics Market.
By Components: Solutions (Packaged Software, Managed Software, Application Software, Performance Monitoring Software) and Services (Consulting & Development Services, Training & Support Services and Admin & Managed Services).
By Offering: Data Discovery and Visualization, Distributed File System, Social Media Analytics, Hypertext Transfer Protocol and Others.
By Data Type: Unstructured, Semi-structured and Structured.
By Organization Size: Small & Medium Enterprises (SMEs) and Large Enterprises.
By Deployment Mode: On-cloud and In-Premises.
By End-Use Industry: Banking, Finance Services and Insurance (BFSI), Retail, Government & Public Sector, Healthcare, IT & Telecommunication, Manufacturing, Transportation & Logistics and Others.
By Geography: North America (U.S., Canada and Mexico); Europe (U.K., Germany, Italy, France, Spain, Russia, Rest of Europe); APAC (China, Japan, South Korea, India, Australia, Rest of APAC); South America (Brazil, Argentina, Rest of Americas); Row (Middle East & Africa).
Key Takeaways :
Increasing deployment of cloud-based solutions across various industries for optimizing industrial digitalization is analysed to significantly drive the Hadoop Big Data Analytics Market during the forecast period 2022-2027.
Data Discovery and Visualization are analysed to hold highest share 37.12% in 2021 owing to surge in the demand of business intelligence (BI) solutions across various enterprises.
IT & Telecommunication industry is analysed to hold the highest market share 31.21% during the forecast period owing to the large amount of data generated across this vertical which propels the demand of Hadoop big data analytics solutions for efficient working across the enterprise.
North America is analysed to hold the highest share in 2021 owing to the increasing IT industry requirements and rising integration of hybrid platform technologies across various industries.
Hadoop Big Data Analytics Industry Outlook :
Production Innovation, Acquisitions, Collaboration, and R&D activities are key strategies adopted by players in the Hadoop Big Data Analytics Market. In 2021, the market of Hadoop Big Data Analytics industry outlook has been fragmented by several companies. Hadoop Big Data Analytics top 10 companies include
Amazon Web Services
Hewlett Packard Enterprise
IBM Corporation
Google Inc.
Microsoft Corporation
Pentaho Corporation
Pivotal Software, Inc.
SAP SE
Tableau Software, Inc.
Teradata Corporation
Recent Developments :
In July 2020, Google Cloud announced BigQuery Omni powered by Anthos for Multi-Cloud Analytics. BigQuery Omni provides enterprises with the flexibility they need to break down silos and create actionable business insights, without having to pay expensive egress fees for moving data from other cloud providers to Google Cloud. It will help customers securely and cost-effectively access, analyse, and find new insights empowering innovation in their business.
In June 2020, HPE launched HPE Ezmeral, a new software portfolio and brand that will accelerate data-driven transformation across organizations. HPE Ezmeral provides a complete portfolio, including container orchestration and management, AI/ML and data analytics, cost control, IT automation and AI-driven operations, and security.
In September 2019, Google introduced Cloud Storage Connector for Hadoop Big Data Workloads. This new capability allows organizations to substitute their traditional Hadoop Distributed File System (HDFS) with Google Cloud Storage which are designed to optimise enterprise working efficiency.