bigdata landscape and competitive intelligence

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

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Page 1: Bigdata Landscape and Competitive Intelligence

Bigdata Landscape and Market Intelligence

Jithin S L06-May-2016

Page 2: Bigdata Landscape and Competitive Intelligence

Agenda

Bigdata Market Trends

Key offerings

Case Studies

Page 3: Bigdata Landscape and Competitive Intelligence

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.

Page 4: Bigdata Landscape and Competitive Intelligence

Market Growth

By Intelligence Market Size By Business Intelligence Market

Page 5: Bigdata Landscape and Competitive Intelligence

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%.

Page 6: Bigdata Landscape and Competitive Intelligence

Bigdata Analytics market size by Business Category

Page 7: Bigdata Landscape and Competitive Intelligence

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

Page 8: Bigdata Landscape and Competitive Intelligence

Potential Payback of Bigdata Initiatives

Page 9: Bigdata Landscape and Competitive Intelligence

Hadoop Dimension Growth..

Page 10: Bigdata Landscape and Competitive Intelligence

Accenture

Success Case StudyThames 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

Page 11: Bigdata Landscape and Competitive Intelligence

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

OfferingsAnomalous 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 assetsData 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

Page 12: Bigdata Landscape and Competitive Intelligence

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

OfferingsBig 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 / FrameworkDevelopment and Enhancement

Page 13: Bigdata Landscape and Competitive Intelligence

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 definitionTechnology evaluation and pilotingData visualization and analyticsIdea to implementationBig data lab on demandSolution accelerators

Page 14: Bigdata Landscape and Competitive Intelligence

Deloitte

Offerings

Insurance Claims SubrogationCustomer Next Best Offer

Page 15: Bigdata Landscape and Competitive Intelligence

Wipro• Success Use caseManage 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 ConsultingSolution Engineering on Big Data PlatformsOperation and Monitoring of Big Data PlatformsEnterprise TransformationsData Discovery & Analytics Services

Page 16: Bigdata Landscape and Competitive Intelligence

Thank You

Page 17: Bigdata Landscape and Competitive Intelligence

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 setupDeployment possibilities on public / private cloudSingle-click installNo vendor lock-in