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Global Big data as a Service Market 2016-2020

About Big-data as a Service

With the rise in IT consumerization, technology has created a new platform for financial applications, helping banks to collect, consolidate, and consume information to change the engagement model with customers through websites and mobile applications.

With the rise in mobile workforce and consumer expectation, financial institutions are gearing up their efforts to attract, retain, and grow their next-generation IT-driven bankers. However, many industry verticals are struggling to act quickly to meet the expectations of online customers due to fragmented processes, legacy technology infrastructure, and ingrained businesses.

Financial service is in a positive stage for the adoption of big data. Most financial services currently focus on improving their traditional data infrastructure and address issues such as customer data management, risk, workforce mobility, and multichannel effectiveness. These consistent problems have led financial organization to deploy big data as a long-term strategy.

Technavio’s analysts forecast the global big data as a service market to grow at a CAGR of 60.9% during the period 2016-2020.

Covered in this report

The report covers the present scenario and the growth prospects of the global big data as a service market for 2016-2020. To calculate the market size, the report considers the revenue generated from the three segments: Hadoop as a service (HaaS), data platform as a service (PaaS), and analytics as a service that consists of consulting and advisory services as well.

The market is divided into the following segments based on geography:

  • Americas
  • APAC
  • EMEA
Technavio's report, Global Big-data as a Service Market 2016-2020, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the market landscape and its growth prospects over the coming years. The report also includes a discussion of the key vendors operating in this market.

Key vendors
  • HP Co.
  • IBM Corp.
  • SAP SE
  • SAS Institute Inc.
  • Teradata
Other prominent vendors
  • 1010data
  • Accenture
  • Alteryx
  • Altiscale
  • Atos
  • Attivio
  • Chartio
  • Cirro
  • ClearStory Data
  • Cloudera
  • Continuum Analytics
  • Datameer
  • DataStax
  • Doopex
  • EMC
  • Enthought
  • Hortonworks
  • MAANA
  • MapR Technologies
  • MarkLogic
  • Microsoft
  • MongoDB
  • Mu Sigma
  • Predixion Software
Market driver
  • Increased use of cloud-based predictive analytics
  • For a full, detailed list, view our report
Market challenge
  • Data integration issues
  • For a full, detailed list, view our report
Market trend
  • Rise in spending on customer engagements
  • For a full, detailed list, view our report
Key questions answered in this report
  • What will the market size be in 2020 and what will the growth rate be?
  • What are the key market trends?
  • What is driving this market?
  • What are the challenges to market growth?
  • Who are the key vendors in this market space?
  • What are the market opportunities and threats faced by the key vendors?
  • What are the strengths and weaknesses of the key vendors?


  • Executive summary
    • Highlights
  • Scope of the report
    • Market overview
    • Top-vendor offerings
      • Table Product offerings
  • Market research methodology
    • Research methodology
    • Economic indicators
  • Introduction
    • Key market highlights
    • Market overview
      • Table Applications of big data
      • Table Level of abstraction in big data analytics as a service
    • Market size and forecast
      • Table Global API as a service market 2015-2020 ($ billions)
    • Five forces analysis
      • Table Five forces analysis
  • Application segmentation
    • Global big data as a service by application
      • Table Global big data as a service by application 2015
      • Table Global big data as a service market by application 2015-2020
    • HaaS
      • Table Global HaaS market 2015-2020 ($ billions)
    • Global analytics as a service
      • Table Global analytics as a service market 2015-2020 ($ billions)
    • Global data PaaS market
      • Table Global data PaaS market 2015-2020 ($ billions)
  • End-user segmentation
    • Global big data as a service by end-user
      • Table Global big data as a service by end-user 2015
      • Table Global big data as a service by end-user 2015-2020
  • Geographical segmentation
    • Global big data as a service by geography
      • Table Global big data as a service by geography 2015
    • Americas
    • EMEA
    • APAC
  • Market drivers
    • Table Key activities in cloud-based predictive analytics
  • Impact of drivers
    • Table Impact of drivers
  • Market challenges
  • Impact of drivers and challenges
    • Table Impact of drivers and challenges
  • Market trends
  • Vendor landscape
    • Competitive scenario
    • Other prominent vendors
      • Table Other prominent vendors
  • Key vendor analysis
    • HP
      • Table HP: Business segmentation by revenue 2014
      • Table HP: Business segmentation by revenue 2013 and 2014 ($ billions)
      • Table HP: Geographical segmentation by revenue 2014
      • Table HP: HPE Big Data Platform products, services, and solutions
      • Table HP: Recent developments
    • IBM
      • Table IBM: Product portfolio
      • Table IBM: Services
      • Table IBM: Business segmentation by revenue 2014
      • Table IBM: GTS segment by revenue 2013 and 2014 ($ billions)
      • Table IBM: GBS segment by revenue 2013 and 2014 ($ billions)
      • Table IBM: Featured big data solutions
      • Table IBM: Big data products
      • Table IBM: Recent developments
    • SAP
      • Table SAP: Business segmentation by revenue 2014
      • Table SAP: Business segmentation by revenue 2013 and 2014 ($ billions)
      • Table SAP: Geographical segmentation by revenue 2014
      • Table SAP: Big data solutions
      • Table SAP: Recent developments
    • SAS
      • Table SAS: Business segmentation by industry 2014
      • Table SAS: Revenue segmentation by geography 2014
      • Table SAS: Key solutions
      • Table SAS: Product categories
    • Teradata
      • Table Teradata: Business segmentation by revenue 2014
      • Table Teradata: Business segmentation by revenue 2013 and 2014 ($ billions)
      • Table Teradata: Geographical segmentation by revenue 2014
      • Table Teradata: Recent developments
  • Appendix
    • List of abbreviation
  • Explore Technavio

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