The big data market is expected to grow from $28.65 billion in 2016 to $66.79 billion by 2021, attaining a CAGR of 18.45%. Several leading consulting firms offer big data services including data management, analytics, infrastructure setup, and case studies in industries like financial services, healthcare, and telecommunications. Success stories demonstrate improved insights, fraud detection, and optimization through big data transformations.

1. Bigdata Landscape and Market
Intelligence
Jithin S L
06-May-2016

2. Agenda
Bigdata Market Trends
Key offerings
Case Studies

3. Bigdata Trend..
• Big Data Market worth 66.79 Billion USD by 2021
• The report "Big Data Market by Component (Software and Services), Type
(Structured, Semi-Structured and Unstructured), Deployment Model, Vertical, and
Region (North America, Europe, Asia-Pacific, Latin America & Middle East and
Africa) - Global Forecast to 2021“.
• The big data market is expected to grow from USD 28.65 Billion in 2016 to USD
66.79 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 18.45%.
• For the purpose of the report, 2015 has been considered as the base year and
2016 as the estimated year for performing market estimation and forecasting. The
forecast period is 2016-2021.

4. Market Growth
By Intelligence Market Size By Business Intelligence Market

5. Key Information
• The Advanced and Predictive Analytics (APA) software market is projected from grow from $2.2B in
2013 to $3.4B in 2018, attaining a 9.9% CAGR in the forecast period. The top 3 vendors in 2013 based on
worldwide revenue were SAS ($768.3M MMM +0.36%, 35.4% market share), IBM IBM +1.54% ($370.3M,
17.1% market share) and Microsoft MSFT +0.15% ($64.9M, 3% market share).
• A.T. Kearney forecasts global spending on Big Data hardware, software and services will grow at a CAGR
of 30% through 2018, reaching a total market size of $114B.
• Cloud-based Business Intelligence (BI) is projected to grow from $.75B in 2013 to $2.94B in 2018,
attaining a CAGR of 31%.
• Financial Services firms are projected to spend $6.4B in Big Data-related hardware, software and
services in 2015, growing at a CAGR of 22% through 2020.
• Big Data technology and services will grow from $1.95B in 2013 to $9.83B in 2020, attaining a CAGR of
26%.

6. Bigdata Analytics market size by
Business Category

7. Bigdata Market Forecast by sub –
type(2011-2017)

8. Potential Payback of Bigdata Initiatives

9. Hadoop Dimension Growth..

10. Accenture
Success Case Study
Thames Water is responsible for
supplying public water and wastewater
management for much of Greater London
and the Thames Valley. By using
Accenture’s Smart Grid services, the
company can access real-time data to
improve their overall performance.
Offerings
Data Management and
Integration
Data Discovery
Next Gen Business
Intelligence

11. Capgemini • Success Case Study
 Helped a global employment agency
to improve their insight into
localized job markets, matching job
seekers with openings. Users have
been amazed by the accuracy of our
proof of concept.
 A global Telco improved insight into
network usage and identified new
commercial opportunities through
Big Data transformation.
 Big Data and Predictive Analytics
Help HMRC Process Debt Payments
More Quickly
Offerings
Anomalous Behavior Detection: Address
IT security threats quickly by
detecting suspicious behavior as it
arises
Business Data Lake: Address your
company’s information challenges
with our next-generation
information management solution
Cybersecurity: Protect your digital assets
Data Warehouse Optimization: Optimize
the ratio between the value of data
and storage costs
Enterprise Data Hub Accelerator:
Execute faster while harnessing Big
Data’s potential for tangible
business benefits
In-Memory Solutions: Leverage data in
real time to become more agile
Insight-driven Operations: Connect the
dots between big data insights and
business operations

12. TCS Product Integration
Products cater to the most imperative
business problems:
•Data Migration
•Warm Archival
•Customer 3600
•Metadata Management
•Sensor Data Analytics
•Enterprise Data Harmonization
Offerings
Big Data Management
Big Data Technology Strategy
Definition
Big Data Technology Use case
Identification
Big Data Infrastructure Set-up and
Management
Application Development and
Maintenance
Big Data Analytics
Big Data Analytics Strategy
Definition
Big Data Business Use-case
Identification
Big Data Analytics Models /
Framework
Development and Enhancement

13. Cognizant
• Success Case Studies
• Financial and Insurance
Services: Early-warning fraud
detection systems, identity threat
management, claims fraud
monitoring
• Life Sciences: Physician interaction
optimization, proactive
manufacturing surveillance, next-
generation genetic sequencing, real-
world evidence, translational sciences
and imaging
• Healthcare: Cross-channel analytics,
campaign optimization and fraud
detection
• Communication, Media and
Entertainment: Discover churn
patterns, digital asset management
(DAM)
Offerings
Big data strategy and
roadmap definition
Technology evaluation
and piloting
Data visualization and
analytics
Idea to implementation
Big data lab on demand
Solution accelerators

14. Deloitte
Offerings
Insurance Claims Subrogation
Customer Next Best Offer

15. Wipro
• Success Use case
Manage the 3 dimensions of Big
Data - Volume, Velocity, Variety -
and thus enables :
• Discover hidden insights through
a 720 degree view of customers
• Prevent failures leveraging
machine and device data
analytics
• Enhance fraud and surveillance
capabilities
• Reduce total cost of IT leveraging
Hadoop clusters
Offerings
Business and Architecture Consulting
Solution Engineering on Big Data
Platforms
Operation and Monitoring of Big Data
Platforms
Enterprise Transformations
Data Discovery & Analytics Services

16. Thank You

17. Infosys
• Offerings
• Data extractor – Ingests data in near real-time
from multiple sources
• Data explorer – Performs data modeling with
varying levels of complexity for different users
• In-memory analytics – Discovers patterns in the
data real-time
• Cluster maintenance – Enables quick onboarding
with single-click installer
• Resource manager – Manages and monitors
resources across applications
• Data security – Meets enterprise requirements
for security trough authentication, authorization,
and role-based accesses
• Data governance – Performs version
management of metadata and maintains data
lineage and data audit
Infra set up
Infosys Information
Platform (IIP) delivers
unmatched value.
Scalability and
elasticity of the
hardware setup
Deployment
possibilities on public /
private cloud
Single-click install
No vendor lock-in