Bigdata Landscape and Competitive Intelligence
Download as PPT, PDF1 like1,179 views
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.
Bigdata Landscape and Competitive Intelligence
- 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
- 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