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 vendorsoperating in this market.
Key vendors - HP Co. - IBM Corp. - SAP SE - SAS Institute Inc. - Teradata
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?
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Table Of Contents
Global Big data as a Service Market 2016-2020 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