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Big Data as a Service Market: Snapshot

Predominantly, big data as a service is a cloud-based framework, which provides end-to-end big data solutions to enterprises on their demand. It can be defined as a combined structure of data-as-a-service (DaaS), hadoop-as-a-service (HDaaS), and data analytics-as-a-service. The augmenting need for ensuring the high data quality and creating a channelized data flow in enterprises has fueled the need for technologically advanced big data solutions to gather, store, assess, visualize, and make predictions from the information gained from large data volumes. With the rising usage of cloud-based predictive analytics, the global market for big data as a service is likely to witness strong growth in the years to come.

North America has been dominating the global market and is expected to retain its position over the next few years. Owing to the presence of a large pool of established players, such as Dell, HP, IBM, and Cisco, the U.S. has surfaced as the leading domestic market for big data as a service in North America. The increasing uptake of big data technologies in enterprises to enhance the consumer target marketing an d risk management abilities is likely to boost the North America market for big data as a service in the near future.

Global Big Data as a Service Market: Overview

Big data as a service is considered as the delivery of statistical analysis information from a third party or a service provider that helps the organization to understand the insights with an objective to achieve competitive advantage. Global data as a service market is growing at a faster pace owing to the increasing demand for statistical analysis since the massive amount of unstructured data is generated almost at regular interval of time from the various organization. The organizations outsource the big data service to manage the large data rather than doing it in-house. The big data as a service is often offered by various ways, for instance, big data analytics software as a service, as data fabric which includes data management and the data the aggregation. It can also be offered as data platform service which mostly covers the analytical programming, and also as cloud infrastructure. The big global data as a service market is expected to grow at significantly high CAGR owing the robust demand for service offerings.

Global Big Data as a Service Market: Drivers and Restraints

Global big data as a service market is primarily driven by the increasing requirement of structured data for analysis which helps the organizations to achieve targets and grow at a faster pace. The demand for data science and predictive analysis is increasing which boosts the big global data as a service market. The conclusions driven by the use of big data are accurate with novel insights when compared to traditional analytics is also one of the factors driving the big global data as a service market. Moreover, the expansion of big data analytics, covering data from intelligent systems such as smart meters, in-vehicle infotainment, sensors, etc. further boosts the big global data as a service market. The current growth of cloud computing is also expected to impulse the big data as service market owing to its flexibility in delivery models which is mostly considered as the best approach for business users. 

Global Big Data as a Service Market:  Segmentation  

On the basis of solution type, big data as a service market is segmented into:-

  • Hadoop-as-a-Service (HDaaS)
  • Data Analytics-as-a-Service (DAaaS)
  • Data-as-a-Service (DaaS)

On the basis of deployment model type, big data as a service market is segmented into:-

  • Public cloud
  • Private cloud
  • Hybrid cloud

On the basis of platform type, big data as a service market is segmented into:-

  • JAVA
  • Microsoft
  • Oracle
  • SAP
  • Others

On the basis of end use industries, big data as a service market is segmented into:-

  • Banking & Financial Services
  • Retail
  • Manufacturing
  • Energy & Utilities
  • Healthcare
  • Public Sector
  • Media & Entertainment
  • Others

Global Big data as a service Market:  Region wise Outlook

The big global data as a service market is divided into seven regions, namely North America, Latin America, Asia Pacific excluding Japan (APEJ), Western Europe, Eastern Europe, Japan and the Middle East and Africa (MEA).  North America is holding majority of the share in the big global data as a service market owing to the presence of establishes players such as Microsoft Corporation, Hewlett-Packard Enterprise Development LP, International Business Machines Corporation, etc. The big data as a service market in APEJ is expected to grow at moderately high CAGR owing to increasing investments in various business sectors in the region which will require significant data to analyze.

Global Big Data as a Service Market:  Key Players

Some of the market players identified in the global big data as a service market includes:

  • Hewlett Packard Enterprise Development LP
  • International Business Machines Corporation
  • Microsoft Corporation
  • SAP SE
  • SAS Institute Inc.
  • Teradata Corporation
  • Accenture LLP
  • Oracle Corporation
  • SunGard Data Systems Inc.
  • UST GLOBAL INC
  • MapR Technologies, Inc.

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The regional analysis covers:

  • North America (U.S. and Canada)
  • Latin America (Mexico, Brazil, Peru, Chile, and others)
  • Western Europe (Germany, U.K., France, Spain, Italy, Nordic countries, Belgium, Netherlands, and Luxembourg)
  • Eastern Europe (Poland and Russia)
  • Asia Pacific (China, India, Japan, ASEAN, Australia, and New Zealand)
  • Middle East and Africa (GCC, Southern Africa, and North Africa)

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Our key underpinning is the 4-Quadrant Framework EIRS that offers detailed visualization of four elements:

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The following regional segments are covered comprehensively:

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Below is a snapshot of these quadrants.

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The study offers an in-depth assessment of various customers’ journeys pertinent to the market and its segments. It offers various customer impressions about the products and service use. The analysis takes a closer look at their pain points and fears across various customer touchpoints. The consultation and business intelligence solutions will help interested stakeholders, including CXOs, define customer experience maps tailored to their needs. This will help them aim at boosting customer engagement with their brands.

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4. Which regions might see the demand maturing in certain segments in near future?

5. What are the some of the best cost optimization strategies with vendors that some well-entrenched players have gained success with?

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Big Data As A Service Market

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