1. Market Research

Global Big Data Analytics Market 

  • December 2015
  • 104 pages
  • Frost & Sullivan
Report ID: 3552610

Summary

Table of Contents


Global Big Data Analytics Market : The High Demand for Self-service, Automated Analytics and the Rapid Adoption of Predictive Tools Boost Growth

The global Big Data analytics market demonstrated phenomenal growth in 2015. This study discusses 2 end-user segments: data discovery and visualization (DDV) and advanced analytics (AA). The regional forecast spans North America, Latin America, Europe, the Middle East, and Africa, and Asia-Pacific. Market drivers and restraints are ranked in order of impact. The study also provides global and regional revenue forecasts, vertical analyses, and competitive landscape. It outlines distribution channels and market demand. The base year is 2015 and the study period extends from 2015 to 2022. The study also covers technology and general market trends and offers predictions for the industry.

Key Questions This Study Will Answer

-What factors drive BDA market growth? What is the anticipated growth rate?
-What are the implications of market consolidation? Which vendors have the highest probability of being acquired?
-What are the regional trends? Which region is expected to grow the fastest?
-What are the current pricing trends? Is BDA still a rich man’s market?
-What are the technology trends shaping the product development of BDA?
-What are the key factors customers are considering when they choose a new BDA solution?

Key Findings

In 2015, Big Data Analytics (BDA) emerged as a mainstream technology that was adopted rapidly. Companies across several industry verticals have realized that they need to harness the power of data coming from a variety of sources to survive. Organizations have come of age in terms of operating based on data models and building Big Data workflows that drive key business decisions.

-Hadoop has been the key catalyst in this transformation as business leaders have found it imperative to collect and analyze large volumes of data in a much more tactical way to drive efficiencies and optimize resources.

-This study broadly classifies BDA solutions into 2 major categories: 1. data discovery and visualization (DDV) and 2. advanced analytics (AA). Both these categories have peaked the interest of investors across the world and have attracted millions of dollars in funding that is committed to product enrichments and new sales and distribution partnerships to meet the growing demand for BDA.

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