INSIGHT ENGINES MARKET ANALYSIS

Market Concentration and Competitive Landscape

Close-monitor your Competitor's Move, Request sample copy

Growth of online content and need for advanced analytics techniques

Another key factor driving the adoption of insight engines is the exponential growth of online content being generated every day. With millions of people active on social media platforms, discussion forums, blogs, reviewing sites, and various digital touch points, the amount of unstructured data available online has ballooned rapidly in the last few years. At the same time, businesses are realizing the value that can be harnessed by gleaning insights hidden in this customer-generated content. For instance, understanding customer sentiment about brands and products on social media or analyzing complaints and reviews can provide rich actionable feedback.

However, given the massive scale and complexity involved, it has become nearly impossible for traditional text analytics and business intelligence tools to extract meaningful information from this unstructured data deluge. On the other hand, insight engines with their inherent capabilities of natural language processing, machine learning and real-time processing are specifically designed to comb through huge volumes of language data, understand context and semantics to deliver valuable insights.