“Big Data” is no longer niche, having matured over the years into mainstream. It is everywhere – sports, healthcare, retail and the security industry to name a few areas. Elections are won by leveraging “Big Data.” Even Dilbert has a take on it. 2013 will be another exciting year for “Big Data.” Some of the key trends include:
- M&A: Analysts predict that “Big Data” technology and services will reach ~$10 billion in 2013, primarily driven by M&A activities in predictive analytics, rich media analytics, and data discovery. There will be an increasing demand for actionable insight with specific measurable outcomes. Recent VC funding also seems to imply this trend. These investments will continue to rise in years to come, doubling to $20 billion by 2016
- In-memory/real-time enterprise: With declining hardware costs and ever increasing demand for faster performance and real time computing, in-memory computing will gain popularity. Analysts predict at least 35% of midsize and large organizations will adopt in-memory computing by 2015. In-memory computing will become a key lever for organizations to differentiate and gain competitive advantage over the next 3 years. The last few months have shown various use cases and value propositions of the real-time enterprise including genome analysis, inventory planning, profitability analysis, trade promotion management, fraud detection, personalized point of sale experience. With endless possibilities, the next few years remain an exciting period in real-time computing
- Industry-specific offerings: With the evolution of different use cases around leveraging “Big Data,” there is a renewed focus on industry-specific offerings. Retailers will try to maximize the value delivered to consumers, while manufacturing and financial services are trying to improve their operational productivity. The public sector is also engaging in “Big Data” initiatives. Analysts predict the “Big Data” technology and services market for U.S. government will grow by 30% in 2013 and could reach $1.4 billion by 2016. Sentiment analysis and operations improvement will be key focus areas
- Volume: As the data avalanche continues, the “digital universe” is expected to explode. All data created and replicated will reach 4 billion TB in 2013, a 4x increase from 2010. Large volume also implies more people to model and mine the data; data scientists will emerge as a critical role in enabling effective analytical outcomes
- Hadoop: Increased data-mining demands on large sets of data coupled with need for cost effective solutions have driven demand for the Hadoop/ MapReduce software ecosystem. Recent announcements from Intel, EMC, and other major vendors underscore the growing importance of Hadoop distribution. Analysts predict Hadoop/ MapReduce ecosystem software will grow by ~81% in 2013. It is expected that the revenue will exceed $800 million by 2016
- Governance: “Big Data” is becoming more of a mix of structured and unstructured data. With proliferation of heterogeneous data, it is imperative to have transparent data governance standards including data quality benchmarks, security rules, and clear stewardship
Check out SAP slideshare presentation to learn more about the 2013 trends
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