The growth of the Advanced and Predictive Analytics (APA) software market is primarily driven by the implementation of Big Data repositories, such as NewSQL, NoSQL, Hadoop databases and other platforms, to enhance the ability of computing data and business value from APA. Additionally, the shift in preference of business analysts towards becoming data scientists is also contributing in boosting the growth of the global Advanced and Predictive Analytics software market.
The global Advanced and Predictive Analytics (APA) software market was valued at US$ 2,422.9 Mn in 2014 and is expected to expand at a CAGR of 8.6% from 2015 to 2020.
On the basis of end-users, the Advanced and Predictive Analytics (APA) software market is segmented into banking and financial service, insurance, government, public administration and utilities, pharmaceuticals, telecom and IT, retail, transportation and logistics, healthcare, manufacturing, media and entertainment, energy (oil, gas and electricity), engineering and construction, tourism and sports. Among these, BFSI and retail are the most dominant sectors and are expected to continue the adoption of APA software during the forecast period. Additionally, with increasing data from multiple sources, other sectors, including manufacturing, education and healthcare, are also expected to witness traction in the adoption of the APA software in the near future. Rise in adoption of APA software in these sectors is attributed to the advantages it offers, such as loading and analysis of massive amounts of data in real time to accelerate ad hoc queries and reports, detecting fraud, remaining compliant and developing models to reduce cost & improve service quality.
Advanced and Predictive Analytics (APA) software is mainly used to discover relationships in data and make predictions that are not apparent, hidden or too complex to be extracted using query, reporting and multidimensional analysis software. The market is currently witnessing the advent of different APA software with few using its own programming language and algorithms for building models, and rest including scoring engines and model management features that can execute models built using proprietary or open source modelling languages. The future outlook of the global Advanced and Predictive Analytics (APA) software market is characterized by cloud analytics, real-time analytics, persuasion modelling and ensemble modelling.