Analytics as a service (AaaS) Market Estimated To Grow High During Forecast By Top Players Like Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft
Businesses can use services offered by providers to access a remote analytics platform for a regular fee instead of developing a large internal warehouse full of software. AaaS provides a set-up that allows clients to use a specific analytics software as per requirement and it can be less labor intensive and more cost effective as compared to the traditional services.
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Rise in acceptance of social media applications and continuous increase in demand for progressive technologies to process increased workload through cloud fuel the growth of the analytics-as-a-service market. In addition, increase in adoption of data analytics is also one of the major factors that drives the growth of the market. However, rise in data and security concerns along with complex analytical workflow are expected to hamper the growth of the market. Moreover, lower cost of ownership is expected to provide opportunities for the growth of the market in the upcoming years.
Furthermore, increase in data volume across various industry verticals and rise in practice of machine-generated data are expected to provide major opportunities for the growth of the analytics-as-a-service market in the next few years.
The global Analytics as a Service (AaaS) market is segmented on the basis of component, analytics type, deployment type, industry vertical, and region. Based on component, the market is bifurcated into solutions and services. Based on analytics type, the market is divided into predictive analytics, prescriptive analytics, diagnostic analytics, descriptive analytics. Based on deployment type, the market is classified into private cloud, public cloud, hybrid cloud. Depending on industry vertical, the market is segmented into BFSI, retail, government, IT & telecommunication, transportation & logistics, manufacturing, and others. Based on region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The major manufacturers covered in this report: Amazon Web Services (AWS), GoodData Corporation, Google, Inc., Hewlett Packard Enterprise Development LP, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, SAP, SAS Institute Inc., and TIBCO Software Inc.
Scope of the report:
This research evaluates micro-markets and takes a closer look at the different growth trends, future prospects and regulations that will regulate the industry in the coming years. Researchers have also included a few top performers in the sector to calculate their industry shares and core competencies. The research explains technological developments in the sector along with upcoming areas of the industry that might potentially attract massive investments.
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Most important BY COMPONENT of Analytics as a Service (AaaS) covered in this report are:
Most important BY ANALYTICS TYPE of Analytics as a Service (AaaS) covered in this report are:
o Predictive Analytics
o Prescriptive Analytics
o Diagnostic Analytics
o Descriptive Analytics
Key points from Table of Content:
Chapter 1: Introduction
Chapter 2: Executive Summary
Chapter 3: Market Overview
Chapter 4: Global Analytics As A Service (Aaas) Market, By Component
Chapter 5: Global Analytics As A Service (Aaas) Market, By Analytics Type
Chapter 6: Global Analytics As A Service (Aaas) Market, By Deployment Type
Chapter 7: Global Analytics As A Service (Aaas) Market, By Industry Vertical
Chapter 8: Global Analytics As A Service (Aaas) Market, By Region
Chapter 9: Competitive Landscape
Chapter 10: Company Profiles
Scope of the study:
o The report conducts a detailed analysis of the evolving market dynamics
o It gives a holistic view of various drivers and restraints operating in the market
o The forecast spans 6 years and predicts the prospective progress of the sector
o It categorizes the prominent product segments and their future growth scenario
o The market insights derived after a thorough investigation of the industrial segments and subsegments enable readers make informed decisions.
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Name: Sameer Joshi
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