Big Data in the Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts

Release Date: July 2018

Number of Pages: 521

Number of Tables and Figures: 97

Synopsis: “Big Data” originally emerged as a term to describe datasets whose size is beyond the ability of traditional databases to capture, store, manage and analyze. However, the scope of the term has significantly expanded over the years. Big Data not only refers to the data itself but also a set of technologies that capture, store, manage and analyze large and variable collections of data, to solve complex problems.

Amid the proliferation of real-time and historical data from sources such as connected devices, web, social media, sensors, log files and transactional applications, Big Data is rapidly gaining traction from a diverse range of vertical sectors. The financial services industry is no exception to this trend, where Big Data has found a host of applications ranging from targeted marketing and credit scoring to usage-based insurance, data-driven trading, fraud detection and beyond.

SNS Telecom & IT 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.

The “Big Data in the Financial Services Industry: 2018 – 2030 – Opportunities, Challenges, Strategies & Forecasts” report presents an in-depth assessment of Big Data in the financial services industry including key market drivers, challenges, investment potential, application areas, use cases, future roadmap, value chain, case studies, vendor profiles and strategies. The report also presents market size forecasts for Big Data hardware, software and professional services investments from 2018 through to 2030. The forecasts are segmented for 8 horizontal submarkets, 6 application areas, 11 use cases, 6 regions and 35 countries.

The report comes with an associated Excel datasheet suite covering quantitative data from all numeric forecasts presented in the report.

Sample Request:

For a Sample and Table of Contents please contact info@snstelecom.com

Pricing:

The report is available for the following price:

  • Single User License: USD 2,500
  • Company Wide License: USD 3,500

Key Findings:

The report has the following 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, alterative 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.

Topics Covered:

The report covers the following topics:

  • 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 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

Forecast Segmentation:

Market forecasts are provided for each of the following submarkets and their categories:

  • Hardware, Software & Professional Services
    • Hardware
    • Software
    • Professional Services
  • Horizontal Submarkets
    • Storage & Compute Infrastructure
    • Networking Infrastructure
    • Hadoop & Infrastructure Software
    • SQL
    • NoSQL
    • Analytic Platforms & Applications
    • Cloud Platforms
    • Professional Services
  • Application Areas
    • Personal & Business Banking
    • Investment Banking & Capital Markets
    • Insurance Services
    • Credit Cards & Payment Processing
    • Lending & Financing
    • Asset & Wealth Management
  • Use Cases
    • Personalized & Targeted Marketing
    • Customer Service & Experience
    • Product Innovation & Development
    • Risk Modeling, Management & Reporting
    • Fraud Detection & Prevention
    • Robotic & Intelligent Process Automation
    • Usage & Analytics-Based Insurance
    • Credit Scoring & Control
    • Data-Driven Trading & Investment
    • Third Party Data Monetization
    • Other Use Cases
  • Regional Markets
    • Asia Pacific
    • Eastern Europe
    • Latin & Central America
    • Middle East & Africa
    • North America
    • Western Europe
  • Country Markets
    • Argentina, Australia, Brazil, Canada, China, Czech Republic, Denmark, Finland, France, Germany, India, Indonesia, Israel, Italy, Japan, Malaysia, Mexico, Netherlands, Norway, Pakistan, Philippines, Poland, Qatar, Russia, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Taiwan, Thailand, UAE, UK, USA

Key Questions Answered:

The report provides answers to the following key questions:

  • How big is the Big Data opportunity in the financial services industry?
  • How is the market evolving by segment and region?
  • What will the market size be in 2021, and at what rate will it grow?
  • What trends, challenges and barriers are influencing its growth?
  • Who are the key Big Data software, hardware and services vendors, and what are their strategies?
  • How much are banks, insurers, credit card and payment processing specialists, asset and wealth management firms, lenders and other stakeholders investing in Big Data?
  • What opportunities exist for Big Data analytics in the financial services industry?
  • Which countries, application areas and use cases will see the highest percentage of Big Data investments in the financial services industry?

List of Companies Mentioned:

The following companies and organizations have been reviewed, discussed or mentioned in the report:

1010data

Absolutdata

Acadian Asset Management

Accenture

Actian Corporation

Adaptive Insights

Adobe Systems

Advizor Solutions

AeroSpike

AFS Technologies

Alation

Algorithmia

Alluxio

Alphabet

ALTEN

Alteryx

AMD (Advanced Micro Devices)

American Express

Anaconda

Apixio

AQR Capital Management

Arcadia Data

Arimo

ARM

ASF (Apache Software Foundation)

AtScale

Attivio

Attunity

Automated Insights

Avant

AVORA

AWS (Amazon Web Services)

AXA

Axiomatics

Ayasdi

BackOffice Associates

Basho Technologies

BCG (Boston Consulting Group)

Bedrock Data

BetterWorks

Big Panda

BigML

Birst

Bitam

BlackRock

Bloomberg

Blue Medora

BlueData Software

BlueTalon

BMC Software

BOARD International

Booz Allen Hamilton

Boxever

CACI International

Cambridge Semantics

Capgemini

Capital One

Cazena

CBA/CommBank (Commonwealth Bank of Australia)

Centrifuge Systems

CenturyLink

Chartio

Cigna

Cisco Systems

Civis Analytics

ClearStory Data

Cloudability

Cloudera

Cloudian

Clustrix

CognitiveScale

Collibra

Concurrent Technology

Confluent

Contexti

Couchbase

Crate.io

Cray

Credit Suisse

CSA (Cloud Security Alliance)

CSCC (Cloud Standards Customer Council)

Databricks

Dataiku

Datalytyx

Datameer

DataRobot

DataStax

Datawatch Corporation

Datos IO

DDN (DataDirect Networks)

Decisyon

Dell Technologies

Deloitte

Demandbase

Denodo Technologies

Deutsche Bank

Dianomic Systems

Digital Reasoning Systems

Dimensional Insight

DMG (Data Mining Group)

Dolphin Enterprise Solutions Corporation

Domino Data Lab

Domo

Dremio

DriveScale

Druva

Dun and Bradstreet

Dundas Data Visualization

DXC Technology

Eagle Alpha

Elastic

Engineering Group (Engineering Ingegneria Informatica)

EnterpriseDB Corporation

eQ Technologic

Equifax

Ericsson

Erwin

EVŌ (Big Cloud Analytics)

EXASOL

EXL (ExlService Holdings)

Facebook

Factset

FICO (Fair Isaac Corporation)

Figure Eight

FogHorn Systems

Fractal Analytics

Franz

Fujitsu

Fuzzy Logix

Gainsight

GE (General Electric)

Glassbeam

GoodData Corporation

Google

Grakn Labs

Greenwave Systems

GridGain Systems

Guavus

GuidePoint

H2O.ai

Hanse Orga Group

HarperDB

HCL Technologies

Hedvig

Hitachi Vantara

Hortonworks

HPE (Hewlett Packard Enterprise)

HSBC Group

Huawei

HVR

HyperScience

HyTrust

IBM Corporation

iDashboards

IDERA

IEC (International Electrotechnical Commission)

IEEE (Institute of Electrical and Electronics Engineers)

Ignite Technologies

Imanis Data

Impetus Technologies

INCITS (InterNational Committee for Information Technology Standards)

Incorta

InetSoft Technology Corporation

InfluxData

Infogix

Infor

Informatica

Information Builders

Infosys

Infoworks

Insightsoftware.com

InsightSquared

Intel Corporation

Interana

InterSystems Corporation

ISO (International Organization for Standardization)

ITU (International Telecommunication Union)

Jedox

Jethro

Jinfonet Software

JNB (Japan Net Bank)

JPMorgan Chase & Co.

Juniper Networks

Kabbage

KALEAO

Keen IO

Keyrus

Kinetica

KNIME

Kognitio

Kyvos Insights

LeanXcale

LenddoEFL

Lexalytics

Lexmark International

Lightbend

Linux Foundation

Logi Analytics

Logical Clocks

Longview Solutions

Looker Data Sciences

LucidWorks

Luminoso Technologies

Maana

Man Group

Manthan Software Services

MapD Technologies

MapR Technologies

MariaDB Corporation

MarkLogic Corporation

Mastercard

Mathworks

Melissa

MemSQL

Metric Insights

Microsoft Corporation

MicroStrategy

Minitab

MongoDB

Mu Sigma

NEC Corporation

Neo4j

NetApp

Nimbix

Nokia

NTT Data Corporation

Numerify

NuoDB

NVIDIA Corporation

OASIS (Organization for the Advancement of Structured Information Standards)

Objectivity

Oblong Industries

ODaF (Open Data Foundation)

ODCA (Open Data Center Alliance)

OGC (Open Geospatial Consortium)

OpenText Corporation

Opera Solutions

Optimal Plus

Oracle Corporation

OTP Bank

Palantir Technologies

Panasonic Corporation

Panorama Software

Paxata

Pepperdata

Phocas Software

Pivotal Software

Prognoz

Progress Software Corporation

Progressive Corporation

Provalis Research

Pure Storage

PwC (PricewaterhouseCoopers International)

Pyramid Analytics

Qlik

qplum

Qrama/Tengu

Quandl

Quantum Corporation

Qubole

Rackspace

Radius Intelligence

RapidMiner

RavenPack

Recorded Future

Red Hat

Redis Labs

RedPoint Global

Reltio

RStudio

Rubrik

Ryft

S&P's (Standard & Poor's)

Sailthru

Salesforce.com

Salient Management Company

Samsung Fire & Marine Insurance

Samsung Group

SAP

SAS Institute

ScaleOut Software

Seagate Technology

Shinhan Card

Sinequa

SiSense

Sizmek

SnapLogic

Snowflake Computing

Software AG

Splice Machine

Splunk

Strategy Companion Corporation

Stratio

Streamlio

StreamSets

Striim

Sumo Logic

Supermicro (Super Micro Computer)

Syncsort

SynerScope

SYNTASA

Tableau Software

Talend

Tamr

TARGIT

TCS (Tata Consultancy Services)

Teradata Corporation

Thales

Thomson Reuters

ThoughtSpot

TIBCO Software

Tidemark

TM Forum

Toshiba Corporation

TPC (Transaction Processing Performance Council)

TransferWise

Transwarp

Trifacta

Two Sigma Investments

U.S. NIST (National Institute of Standards and Technology)

Unifi Software

UnitedHealth Group

Unravel Data

Upstart

VANTIQ

Vecima Networks

Visa

VMware

VoltDB

W3C (World Wide Web Consortium)

WANdisco

Waterline Data

Western Digital Corporation

Western Union

WhereScape

WiPro

Wolfram Research

Workday

Xplenty

Yellowfin BI

Yseop

Zendesk

Zoomdata

Zucchetti

Zurich Insurance Group