Global Big Data IT Spending in Financial Sector - Market Research 2015-2019


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About big data IT spending in financial services
The financial services are among the most data-driven industries. Financial services institutions operate within regulatory environments that require firms to store and analyze several years of transactional data. For making the most from the businesses, financial services relies on relational technologies coupled with business intelligence tools to handle the ever increasing data and analytics burden. In todays world of information, the financial service industry is witnessing a disruptive change in the way do businesses worldwide. Regulatory reforms majorly drive this change. Ailing business and customer settlements, continuous economic crisis in other industry verticals, high cost of new technology and business models, and high degree of industry consolidation and automation are some of the other growth drivers.

Many financial services currently focus on improving their traditional data infrastructure as they have been addressing issues such as customer data management, risk, workforce mobility, and multichannel effectiveness. These daily problems led financial organization to deploy big data as a long-term strategy. By the end of 2014, big data has turned out to be the fastest growing technology adopted by the financial institutions over the past five years.

Technavio's analysts forecast global big data IT spending in financial services market to grow at a CAGR of 25.5% over the period 2014-2019.

Covered in this report
This report covers the present scenario and the growth prospects of the global big data IT spending in financial services for 2015-2019. To calculate the market size, the report considers revenue generated from the sale of big data solutions only in the financial services sector.

It includes big data hardware, software, and services revenue to calculate the market size. In order to calculate hardware, software, and IT services spending, the following sub-segments have been considered:

Hardware: Servers, networking equipment, and storage equipment
Software: Apache Hadoop-related solutions and cloud solutions
Services: Analytics, consulting, support, and professional services

Technavio's report, Global Big Data IT Spending in Financial Services Market 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers Americas, APAC, and EMEA. It also covers the landscape of the global big data IT spending in financial services market and its growth prospects in the coming years. The report includes a discussion of the key vendors operating in this market.
Key regions
Americas
APAC
EMEA

Key vendors
Capgemini
IBM
Oracle
SAP
SAS Institute

Other prominent vendors
Alteryx
Atos
Chartio
Cirro
Clearstory Data
Continuum Analytics
Datameer
DataStax
Emc2
Enthought
Maana
MapR technologies
Predixion Software

Key market driver
Explosive data growth
For a full, detailed list, view our report

Key market challenge
Lack of big data technology expertise
For a full, detailed list, view our report

Key market trend
High spending in customer engagements
For a full, detailed list, view our report

Key questions answered in this report
What will the market size be in 2019 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?
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
PART 05: Market Landscape
Definition of big data
Big data in financial services sector
Market size and forecast
PART 06: Market segmentation by product
Hardware revenue
Software segment
Services segment
PART 07: Geographical Segmentation
Americas
APAC
EMEA
PART 08: Market Growth 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
Alteryx
Capgemini
IBM
Oracle
SAP
SAS Institute
PART 15: Appendix
List of abbreviations
PART 16: Explore Technavio
List of Exhibits
Exhibit 01: Product, services, and solutions
Exhibit 02: Applications of big data
Exhibit 03: Applications of big data in financial services sector
Exhibit 04: Global big data IT spending market in financial services sector 2014-2019 ($ billions)
Exhibit 05: Global big data IT spending market in financial services by product 2014
Exhibit 06: Global big data IT spending market in financial services sector by product 2014-2019
Exhibit 07: Hardware segment 2014-2019 ($ billions)
Exhibit 08: Hardware revenue segmentation 2014
Exhibit 09: Software segment 2014-2019 ($ billions)
Exhibit 10: Global big data IT spending market in financial services sector 2014-2019 ($ billions)
Exhibit 11: Geographical Segmentation 2014
Exhibit 12: Geographical segmentation 2014-2019
Exhibit 13: Big data IT spending market in financial services sector in Americas 2014-2019 ($ billions)
Exhibit 14: Big data IT spending market in financial services sector in APAC 2014-2019 ($ billions)
Exhibit 15: Big data IT spending market in financial services sector in EMEA 2014-2019 ($ billions)
Exhibit 16: Activities that determine which solutions vendors adopt
Exhibit 17: Impact of drivers
Exhibit 18: Impact of drivers and challenges
Exhibit 19: Alteryx: Products
Exhibit 20: Capgemini: Business segmentation by revenue 2014
Exhibit 21: Capgemini: Business segmentation by revenue 2013 and 2014 ($ billion)
Exhibit 22: Capgemini: Geographical segmentation by revenue 2014
Exhibit 23: IBM: Business segmentation
Exhibit 24: Global technology services revenue
Exhibit 25: Oracle: Business segmentation by revenue 2014
Exhibit 26: Oracle: Business segmentation by revenue 2013 and 2014 ($ millions)
Exhibit 27: Oracle: Geographical segmentation by revenue 2014
Exhibit 28: SAP: Business segmentation by revenue 2014
Exhibit 29: SAP: Business segmentation by revenue 2013 and 2014 ($ billions)
Exhibit 30: SAP: Geographical segmentation by revenue 2014
Exhibit 31: SAS: Revenue segmentation by industry 2014
Exhibit 32: SAS: Revenue segmentation by geography 2014