Embedded Analytics Market will witness massive growth of 51.78 Billion USD by 2022

Embedded Analytics Market research study by Component (Software and Services), Business Function (IT, Marketing and Sales, Finance, Production, and HR), Deployment Model (On-Premises and On-Demand), Organization Size, Industry, and Region

(EMAILWIRE.COM, August 01, 2018 ) According to a new market research report “Embedded analytics Market by Component (Software and Services), Business Function (IT, Marketing and Sales, Finance, Production, and HR), Deployment Model (On-Premises and On-Demand), Organization Size, Industry, and Region - Global Forecast to 2022", The embedded Analytics market is expected to grow from USD 26.77 Billion in 2017 to USD 51.78 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 14.1%.

Browse 72 Market Data Tables and 40 Figures spread through 169 Pages and in-depth TOC on "Embedded analytics Market"

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The major forces driving the embedded analytics market are the rise in data-driven organizations, higher adoption of self-service analytics, and the increasing demand to integrate analytics with business applications. The embedded analytics market is growing rapidly because of the transformation from the traditional analytical techniques for analyzing business data to the advanced techniques and the massive surge of the flowing structured and unstructured data.

IT business function is expected to grow at the highest CAGR

Embedded analytics tools and services are used for various business functions, which include Information Technology (IT), marketing and sales, finance, production, Human Resource (HR), and others (product development and legal). The IT business function is expected to witness the highest CAGR during the forecast period because of the increasing need for IT departments across industries to have access to real-time analytics on Key Performance Indicators (KPIs) and the visualization of the percentage of helpdesk ticket requests resolved in the agreed time-frame to assess the success of on-going support in their applications itself.

Banking, Financial Services, and Insurance (BFSI) is estimated to have the largest market size in 2017

The embedded analytics market is also segmented by various industries, out of which, the adoption of embedded analytics is expected to be the largest in the BFSI vertical, as the volume and variety of data is increasing day-by-day, with the growing demand of IT systems for financial transactions in banks and other financial institutes.

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Table of Contents

1 Introduction (Page No. - 16)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders

2 Research Methodology (Page No. - 19)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.3 Microquadrant Research Methodology
2.3.1 Vendor Inclusion Criteria
2.4 Research Assumptions and Limitations
2.4.1 Embedded Analytics Market: Assumptions
2.4.2 Limitations

3 Executive Summary (Page No. - 26)

4 Premium Insights (Page No. - 32)
4.1 Attractive Market Opportunities in the Embedded Analytics Market
4.2 Embedded Analytics Market: Market Share Across Various Regions
4.3 Embedded Analytics Market: Industry and Regions
4.4 Lifecycle Analysis, By Region, 2017

5 Market Overview and Industry Trends (Page No. - 36)
5.1 Market Overview
5.1.1 Introduction
5.1.2 Market Dynamics
5.1.2.1 Drivers
5.1.2.1.1 Rise of Data-Driven Organizations
5.1.2.1.2 Higher Adoption of Self-Service Analytics
5.1.2.1.3 Increasing Demand to Integrate Analytics Into Business Applications
5.1.2.2 Restraints
5.1.2.2.1 Lack of Integration With Legacy Systems and Higher Replacement Cost
5.1.2.3 Opportunities
5.1.2.3.1 Increasing Adoption of Mobile Bi and Cloud Computing
5.1.2.3.2 Higher Adoption By SMES
5.1.2.4 Challenges
5.1.2.4.1 Lack of Skilled Workforce
5.1.2.4.2 Managing Data Quality and Security
5.2 Industry Trends
5.2.1 Introduction
5.2.2 Embedded Analytics Use Cases
5.2.2.1 Introduction
5.2.2.2 Use Case #1
5.2.2.3 Use Case #2
5.2.2.4 Use Case #3
5.2.3 Key Benefits of Embedded Analytics
5.2.3.1 Higher Adoption Than Traditional Bi
5.2.3.2 Engaging End-Users
5.2.3.3 Adding Value to the Application
5.2.3.4 Improves the End-User Experience
5.2.3.5 Increases Revenue

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