Global Analytics as a Service (AaaS) Market - Segment Analysis, Opportunity Assessment 2018-2023

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The Analytics as a Service (AaaS) has emerged from the integration of cloud computing and analytics solutions. Analytics as a Service uses web-based technologies to carry out the analysis of big data in order to store, collect, and analyze data. The AaaS method is less labor-intensive and more cost-effective, as compared to other traditional methods. Owing to this, there will be an increase in demand for AaaS in the coming years.

Based on solutions, the network analytics segment is growing at the fastest pace owing to the increasing use of automation technologies and artificial intelligence in organizations. Network analytics helps organizations to utilize and balance resources in order to optimize the network performance. Owing to these factors, there is a rise in the demand for network analytics, which is driving the growth of the Analytics as a Service market in recent years. Based on the end-use, the BFSI segment dominated the market in 2018, owing to an increase in the use of AaaS to understand their customers and accordingly, update their services.

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Based on types, the predictive analytics segment is growing at the fastest pace owing to the benefits it offers such as improved efficiency and productivity, reduced risks, fraud detection, increased profits, and others. Organizations use this type of analytics to understand customer preferences in order to run different marketing campaigns. Further, predictive analytics solutions help in providing insights to the decision makers to enable them to respond to challenges and capitalize on future trends. At the same time, the increasing use of predictive analytics solutions in sectors like BFSI, retail, pharmaceuticals, and others to increase their productivity and work efficiency, is driving the demand for the segment in recent years.

Based on regions, North America dominated the market in 2018 and is expected to show similar trends in the coming years, as the region is the home for the major players that concentrate on research and development activities in order to increase their market share.

Table of Content

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Chapter 1 Preface

1.1 Report Description
1.1.1 Purpose of the Report
1.1.2 Target Audience
1.1.3 USP and Key Offerings
1.2 Research Scope
1.3 Research Methodology
1.3.1 Phase I – Secondary Research
1.3.2 Phase II – Primary Research
1.3.3 Phase III – Expert Panel Review
1.3.4 Approach Adopted
1.3.4.1 Top-Down Approach
1.3.4.2 Bottom-Up Approach
1.3.5 Assumptions
1.4 Market Segmentation Scope

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Chapter 2 Executive Summary

2.1 Market Summary
2.1.1 Global Analytics as a Service (AaaS) Market, 2016-2023, (US$ Mn)
2.1 Market Snapshot: Global Analytics as a Service (AaaS) Market
2.2 Market Dynamics
2.3 Global Analytics as a Service (AaaS) Market, by Segment, 2018
2.3.1 Global Analytics as a Service (AaaS) Market, by Solution, 2018,(US$ Mn)
2.3.2 Global Analytics as a Service (AaaS) Market, by Type, 2018 (US$ Mn)
2.3.3 Global Analytics as a Service (AaaS) Market, by Deployment, 2018 (US$ Mn)
2.3.4 Global Analytics as a Service (AaaS) Market, by End-use, 2018 (US$ Mn)
2.3.5 Global Analytics as a Service (AaaS) Market, by Region, 2018 (US$ Mn)
2.4 Premium Insights
2.4.1 Analytics as a Service (AaaS) Market In Developed Vs. Developing Economies, 2018 vs 2023
2.4.2 Global Analytics as a Service (AaaS) Market: Regional Life Cycle Analysis

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