Big Data Analytics Market by Component, Deployment Mode, Organization Size, Business Function (Operations, Finance, and Marketing and Sales), Industry Vertical (BFSI, Manufacturing, Healthcare and Life Sciences), and Region - Global Forecast 2021 to 2027

ID: VPR/ICT/147 Publishing Year: January 2021 Pages: 218 Format:   

Market Overview:

The Big Data Analytics Market was valued at $XXX billion in 2019, and it is expected to reach $XXX billion by 2027, registering a CAGR of XX% from 2021 to 2027.

Big Data Analytics is the method of collecting, organizing and analyzing large sets of data to discover patterns and other useful information. Big Data Analytics can help administrations to understand the information contained within the data and will also help to identify the data that is most important to the business and future business decisions. Big Data Analytics is the IT’s contribution which uses several data mining for example text mining and predictive modeling. It helps in modernizing the business models and maximizing the income for the service providers. The information accumulates at high pace considering volume and variety due to the day-to-day operations of the industries. In such a condition, organizations face many technical complications during collection, storage, analysis, and reporting through interlinked and shared dashboards. Management of such information requires high-quality data management systems and suitably channelized information flow. And therefore the companies need big data resolutions to gather, store, examine and make future forecasts from the evidence obtained from massive information volumes.

Big Data Analytics offers various business benefits which include , new revenue opportunities, more effective marketing, better customer service ,Improved operational efficiency, Competitive advantages over rivals. With the rise of Big Data, the need to evaluate and process those data faster and economically is what companies are looking for. Considering the current state of big data, tremendous amount of information is created every day, that too in the form of heterogeneous databases. As this huge amount of data is unstructured and stored in community servers, it is very difficult to manage this data and derive insightful information out of it.

Segment Overview:

The Big Data Analytics Market is segmented by Component, deployment mode, Organization Size, business functions and industrial vertical.

Component Insights:

The component insights are further segmented into solutions and services. Big Data Solutions and Services Store and evaluate structured and unstructured data from IT operations and turn it into useful information and insights. Numerous establishments are implementing Big Data Solutions and Services to assess their internal processes and improve operations. Big data implementation supports companies to strike the right balance between operational cost, speed, flexibility, and quality.

Deployment Insights:

Cloud-based Big Data Solutions are offered by most vendors in the Big Data Market to maximize revenues and automate the equipment maintenance process, effectively and efficiently. The acceptance of cloud-based Big Data Solutions is expected to grow, because of the benefits, such as easy maintenance of generated data, cost-effectiveness, flexibility, scalability, and effective management of these solutions. Many Companies prefer to adopt cloud-based Big Data Solutions, as they support their regional, cross-regional or cross-country data recovery strategies.

Organization Size Insights:

 The organization size insights are divided into large enterprises and small and medium sized enterprise. Large enterprises use cloud-based analytics to combine their internal and external information and to abstract valuable insights out of it. Big Data Analytics offer enterprises with faster access to their data. Hence, the adoption of Bid Data Analytics solutions is higher among the large enterprises as compared to Small and Medium-sized Enterprises.

Business Functions Insights:

The business functions insights are divided into Finance, Human Resource (HR), Marketing and sales, and Operations. Big Data Analytics are used in all these segments of enterprise which helps in gaining profits.

Industrial Vertical Insights:

In the industry vertical segments of Big Data Analytics, the banking, financial services, Government and Defense , Healthcare and Life Sciences , Manufacturing , Retail and Consumer Goods ,Media and Entertainment , Telecommunication and IT ,Transportation and Logistics , Others (Real Estate, Energy and Utilities, Travel and Hospitality, Education and Research) are expected to contribute high income growth in the target market due to large amount of data sets shared over a network on a daily basis.

Big Data Analytics Market Key Segments:

By Component:

  • Solutions
  • Services

By Deployment Mode:

  • Cloud
  • On-Premises

By Organization Size:

  • Large Enterprises
  • Small and Medium-sized Enterprises (SMEs)

By Business Function:

  • Finance
  • Marketing and Sales
  • Human Resources (HR)
  • Operations

By Industry Vertical:

  • Banking, Financial Services and Insurance (BFSI)
  • Government and Defense
  • Healthcare and Life Sciences
  • Manufacturing
  • Retail and Consumer Goods
  • Media and Entertainment
  • Telecommunication and IT
  • Transportation and Logistics
  • Others (Real Estate, Energy and Utilities, Travel and Hospitality, Education and Research)

By Region:

North America

  • United States (US)
  • Canada


  • United Kingdom (UK)
  • Germany
  • France
  • Rest of Europe

Asia Pacific (APAC)

  • China
  • Japan
  • India
  • Rest of APAC

Middle East and Africa (MEA)

  • Kingdom of Saudi Arabia (KSA)
  • United Arab Emirates (UAE)
  • South Africa
  • Rest of MEA*

Latin America

  • Brazil
  • Mexico
  • Rest of Latin America

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( +91-935-919-4956 )

[email protected]