PART 01: Executive summary • Highlights PART 02: Scope of the report • Market overview • Top-vendor offerings PART 03: Market research methodology • Research methodology • Economic indicators PART 04: Introduction • Key market highlights • Market overview • Market size and forecast • Five forces analysis PART 05: Application segmentation • Global big data as a service by application • HaaS • Global analytics as a service • Global data PaaS market PART 06: End-user segmentation • Global big data as a service by end-user PART 07: Geographical segmentation • Global big data as a service by geography • Americas • EMEA • APAC PART 08: Market drivers PART 09: Impact of drivers PART 10: Market challenges PART 11: Impact of drivers and challenges PART 12: Market trends PART 13: Vendor landscape • Competitive scenario • Other prominent vendors PART 14: Key vendor analysis • HP • IBM • SAP • SAS • Teradata PART 15: Appendix • List of abbreviation PART 16: Explore Technavio   Exhibit 01: Product offerings Exhibit 02: Applications of big data Exhibit 03: Level of abstraction in big data analytics as a service Exhibit 04: Global API as a service market 2015-2020 ($ billions) Exhibit 05: Five forces analysis Exhibit 06: Global big data as a service by application 2015 Exhibit 07: Global big data as a service market by application 2015-2020 Exhibit 08: Global HaaS market 2015-2020 ($ billions) Exhibit 09: Global analytics as a service market 2015-2020 ($ billions) Exhibit 10: Global data PaaS market 2015-2020 ($ billions) Exhibit 11: Global big data as a service by end-user 2015 Exhibit 12: Global big data as a service by end-user 2015-2020 Exhibit 13: Global big data as a service by geography 2015 Exhibit 14: Key activities in cloud-based predictive analytics Exhibit 15: Impact of drivers Exhibit 16: Impact of drivers and challenges Exhibit 17: Other prominent vendors Exhibit 18: HP: Business segmentation by revenue 2014 Exhibit 19: HP: Business segmentation by revenue 2013 and 2014 ($ billions) Exhibit 20: HP: Geographical segmentation by revenue 2014 Exhibit 21: HP: HPE Big Data Platform products, services, and solutions Exhibit 22: HP: Recent developments Exhibit 23: IBM: Product portfolio Exhibit 24: IBM: Services Exhibit 25: IBM: Business segmentation by revenue 2014 Exhibit 26: IBM: GTS segment by revenue 2013 and 2014 ($ billions) Exhibit 27: IBM: GBS segment by revenue 2013 and 2014 ($ billions) Exhibit 28: IBM: Featured big data solutions Exhibit 29: IBM: Big data products Exhibit 30: IBM: Recent developments Exhibit 31: SAP: Business segmentation by revenue 2014 Exhibit 32: SAP: Business segmentation by revenue 2013 and 2014 ($ billions) Exhibit 33: SAP: Geographical segmentation by revenue 2014 Exhibit 34: SAP: Big data solutions Exhibit 35: SAP: Recent developments Exhibit 36: SAS: Business segmentation by industry 2014 Exhibit 37: SAS: Revenue segmentation by geography 2014 Exhibit 38: SAS: Key solutions Exhibit 39: SAS: Product categories Exhibit 40: Teradata: Business segmentation by revenue 2014 Exhibit 41: Teradata: Business segmentation by revenue 2013 and 2014 ($ billions) Exhibit 42: Teradata: Geographical segmentation by revenue 2014 Exhibit 43: Teradata: Recent developments

HP Co., IBM Corp., SAP SE, SAS Institute Inc., Teradata, 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.