Big Data in the Financial Services Industry 2018-2030 - Profiles & Strategies of Over 270 Leading & Emerging Big Data Ecosystem Players - ResearchAndMarkets.com

DUBLIN--()--The "Big Data in the Financial Services Industry: 2018 - 2030 - Opportunities, Challenges, Strategies & Forecasts" report from SNS Telecom & IT has been added to ResearchAndMarkets.com's offering.

This research estimates that Big Data investments in the financial services industry will account for nearly $9 Billion in 2018 alone.

Led by a plethora of business opportunities for banks, insurers, credit card and payment processing specialists, asset and wealth management firms, lenders and other stakeholders, these investments are further expected to grow at a CAGR of approximately 17% over the next three years.

Topics Covered

  • Big Data ecosystem
  • Market drivers and barriers
  • Enabling technologies, standardization and regulatory initiatives
  • Big Data analytics and implementation models
  • Business case, application areas and use cases in the financial services industry
  • 30 case studies of Big Data investments by banks, insurers, credit card and payment processing specialists, asset and wealth management firms, lenders, and other stakeholders in the financial services industry
  • Future roadmap and value chain
  • Profiles and strategies of over 270 leading and emerging Big Data ecosystem players
  • Strategic recommendations for Big Data vendors and financial services industry stakeholders
  • Market analysis and forecasts from 2018 till 2030

Key Findings

  • In 2018, Big Data vendors will pocket nearly $9 Billion from hardware, software and professional services revenues in the financial services industry. These investments are further expected to grow at a CAGR of approximately 17% over the next three years, eventually accounting for over $14 Billion by the end of 2021.
  • Banks and other traditional financial services institutes are warming to the idea of embracing cloud-based platforms, particularly hybrid-cloud implementations, in a bid to alleviate the technical and scalability challenges associated with on-premise Big Data environments.
  • Big Data technologies are playing a pivotal role in facilitating the creation and success of innovative FinTech (Financial Technology) startups, most notably in the online lending, alternative insurance and money transfer sectors.
  • In addition to utilizing traditional information sources, financial services institutes are increasingly becoming reliant on alternative sources of data - ranging from social media to satellite imagery - that can provide previously hidden insights for multiple application areas including data-driven trading and investments, and credit scoring.

Key Topics Covered

1: Introduction

2: An Overview of Big Data

3: Big Data Analytics

4: Business Case & Applications in the Financial Services Industry

5: Financial Services Industry Case Studies

6: Future Roadmap & Value Chain

7: Standardization & Regulatory Initiatives

8: Market Sizing & Forecasts

9: Vendor Landscape

10: Conclusion & Strategic Recommendations

Companies Featured

  • 1010data
  • Accenture
  • Actian Corporation
  • AWS (Amazon Web Services)
  • AXA
  • Axiomatics
  • Ayasdi
  • BackOffice Associates
  • Basho Technologies
  • Boxever
  • CACI International
  • Cambridge Semantics
  • Chartio
  • CognitiveScale
  • Collibra
  • Concurrent Technology
  • Confluent
  • Datos IO
  • Decisyon
  • Dell Technologies
  • HarperDB
  • HCL Technologies
  • InterSystems Corporation
  • ISO (International Organization for Standardization)
  • ITU (International Telecommunication Union)
  • Jedox
  • Jethro
  • KNIME
  • Minitab
  • MongoDB
  • OGC (Open Geospatial Consortium)
  • Samsung Group
  • Zucchetti
  • Zurich Insurance Group
  • and many more...

For more information about this report visit https://www.researchandmarkets.com/research/bbfpdm/big_data_in_the?w=4

Contacts

ResearchAndMarkets.com
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T. Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Big Data

Contacts

ResearchAndMarkets.com
Laura Wood, Senior Manager
press@researchandmarkets.com
For E.S.T. Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call 1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related Topics: Big Data