Big data analytic market opportunity
- 1. BIG DATA ANALYTIC MARKET OPPORTUNITY STANLEY WANG SOLUTION ARCHITECT, TECH LEAD @SWANG68 http://www.linkedin.com/in/stanley-wang-a2b143b
- 3. 12+ TBs of tweet data every day 25+ TBs of log data every day ?TBsof dataeveryday 2+ billion people on the Web by end 2011 30 billion RFID tags today (1.3B in 2005) 4.6 billion camera phones world wide 100s of millions of GPS enabled devices sold annually 76 million smart meters in 2009… 200M by 2014
- 4. The Life Cycle of Big Data
- 6. Reference Architecture of Big Data
- 7. Hot Topic – Big Data Analytics • Cost effectively manage and analyze all available data in its native form unstructured, structured, streaming ERP CRM RFID Website Network Switches Social Media Billing • New technology makes it possible to analyze ALL available data
- 9. Big Data Changes in Game
- 10. What’s Driving Big Data? - Ad-hoc querying and reporting - Data mining techniques - Structured data, typical sources - Small to mid-size datasets - Optimizations and predictive analytics - Complex statistical analysis - All types of data, and many sources - Very large datasets - More of a real-time
- 11. Flow of Data Integration
- 13. Analytic Shift in Paradigm
- 14. Big Data Pain Point to Enterprise • Lack of Skill Sets: Pressure of time to market, consider using codeless analytic environment to increase productivity; • Comprehensive Infrastructure: Need to integrate with existing systems; • Heterogeneous Data Integration: Reduce the cost of upfront data preparation and engineering; • Data Governance: Ensure fair usage of data and its related inference; • Predictable Cost Analysis: Properly allocate funding and align resources ;
- 17. Big Data Revenue By Segment
- 18. Big Data Analytics Spending Trend
- 19. Big Data Analytics Market Prediction • 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; • Cloud-based Business Intelligence (BI) is projected to grow from $.75B in 2013 to $2.94B in 2018, attaining a CAGR of 31%; • 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. The average business expects to spend $8M on big data-related initiatives this year;
- 20. Big Data Analytics Market Outlook
- 22. Types of Big Data Analytics Initiatives
- 23. Vision on Big Data Technology Trend • With optimizing hardware and software to work together for Big Data workloads, Enterprise Big Data applications will expand rapidly and be deployed both on-premises and in the cloud environment; • Vendors dominating IT markets such as Oracle, IBM, and Microsoft, will continue to extend their reach to include Big Data initiatives. There are rooms for some new competitors to emerge, but as is often the case, these will tend to cater to niche cases and will be acquired eventually by one of the large IT vendors;
- 24. Unified Big Data Access Platforms • Unified information access platforms will emerge to knit together information silos across the enterprise, no matter the format or the content; • Address the complex nature of the disparate security, archiving, source repository, multiple schemas and terminology; • Combining elements of database, business intelligence, and search technologies; • Capable of indexing and integrating large volumes of unstructured, Semi structured, and structured data into a unified environment for information gathering, analysis, and decision support;
- 25. Advanced Analytics Solutions • One of the inhibitors of growth for standalone advanced analytics tools is the insufficient number of analysts with appropriate skills; • Vendors addressing the challenge and the opportunity to focus efforts on prebuilt advanced analytic applications will be emerging as key players in the Big Data market; • The shortage of trained Big Data technology experts will inhibit adoption and use of Big Data technologies, and it will also encourage vendors to deliver these technologies as cloud-based solutions;
- 26. Market Opportunity Statement • Big Data Analytics are at the heart of most opportunities in the enterprise market. Articulate our value proposition by connecting technology capabilities to business problems with analytical solutions; • Open source tools such as Hadoop can effectively expedite for retrieving and moving through complex data, but still difficult to take the next step and pose intelligent questions; • Sophisticated tools for data integration and analysis on big scale are largely lacking today. Vendors that create tools and applications can take opportunity as a lever to seize market leadership positions;
- 27. Big Data Analytic as Service • The growth in cloud computing will likely mean that end users will choose new applications and services, based less on the technology itself and more on the business value they deliver; • Big Data as Service emerges as opportunities to support small business with operational workloads and information access; • Vendors that can develop easy-to-use tools for non experts will have a ready market;