Data Prep Market expected to be valued at 3.93 Billion USD by 2021, at a CAGR of 25.2%, during 2016–2021

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Data Prep Market research study by Platform : Self-Service Data Prep, Data Integration | By Tool : Data Curation, Data Cataloguing, Data Quality, Data Ingestion, Data Governance | By Deployment, Vertical, and Region

(EMAILWIRE.COM, July 24, 2018 ) According to a new market research report "Data Prep Market by Platform (Self-Service Data Prep, Data Integration), Tool (Data Curation, Data Cataloguing, Data Quality, Data Ingestion, Data Governance), Deployment, Vertical, and Region - Global Forecast to 2021", The data prep market size is estimated to grow from USD 1.46 Billion in 2016 to USD 3.93 Billion by 2021, at a Compound Annual Growth Rate (CAGR) of 25.2% during the forecast period.

Browse 47 market data tables and 51 figures spread through 130 pages and in-depth TOC on “Data Prep Market"

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The key forces driving the data prep market include increasing importance of on-time qualified data, rising need to adhering to regulatory and compliance requirements, benefits of streamlined business operations, and the use of data prep tools in predictive analytics.

Self-service data prep platform is expected to grow at the highest rate during the forecast period

Among the platforms, the self-service data prep segment is expected to grow at a fast pace during the forecast period. The demand for self-service data prep platform is increasing among enterprises as it helps canvas the existing data into user-centric formats, which then help in efficient data analysis, faster decision making, optimized internal business processes, increased operational efficiency, and a competitive advantage in the market.

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Data quality segment is expected to contribute the largest market share in 2016

Among tools, the data quality segment is expected to hold the largest market share in the data prep market in 2016. Data quality tools ensure that the data fits a particular user- specific task and is accurate & timely. Data quality is affected by the way data is entered, stored, and managed, and organizations are making use of the data quality tools to maintain consistency and improve decision making. Educational institutions, malls, retail shops, commercial buildings, hotels, and restaurants are increasingly deploying data prep to make important decisions about asset management and resource allocation. The hosted deployment of data prep has been in demand for sectors such as educational institutions, retail outlets, and hospitality sector, thereby contributing to the growth of the data prep market.

The major vendors providing data prep are Alteryx, Inc. (U.S.), Informatica (U.S.), International Business Corporation (U.S.), TIBCO Software, Inc. (U.S.), Microsoft Corporation (U.S.), SAS Institute (U.S.), Datawatch Corporation (U.S.), Tableau Software, Inc. (U.S.), Qlik Technologies Inc. (U.S.), SAP SE (U.S.), Talend (U.S.), and Microstrategy Incorporated (U.S.).

Table of Contents

1 Introduction (Page No. - 12)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Markets Covered
1.3.2 Years Considered in the Report
1.4 Currency
1.5 Limitations
1.6 Stakeholders

2 Research Methodology (Page No. - 15)
2.1 Research Data
2.1.1 Secondary Data
2.1.1.1 Key Data From Secondary Sources
2.1.2 Primary Data
2.1.2.1 Key Data From Primary Sources
2.1.2.2 Key Industry Insights
2.1.2.3 Breakdown of Primaries
2.2 Market Size Estimation
2.2.1 Bottom-Up Approach
2.2.2 Top-Down Approach
2.3 Market Breakdown and Data Triangulation
2.4 Research Assumptions

3 Executive Summary (Page No. - 23)

4 Premium Insights (Page No. - 27)
4.1 Attractive Market Opportunities in the Market
4.2 Data Prep Market, By Platform
4.3 Data Prep Market, By Region and Vertical
4.4 Data Prep Market Potential
4.5 Lifecycle Analysis, By Region, 2016

5 Market Overview (Page No. - 30)
5.1 Introduction
5.2 Market Evolution
5.3 Market Segmentation
5.3.1 By Platform
5.3.2 By Tool
5.3.3 By Deployment Model
5.3.4 By Industry Vertical
5.3.5 By Region
5.4 Market Dynamics
5.4.1 Drivers
5.4.1.1 Increasing Importance of On-Time Qualified Data
5.4.1.2 Rising Need for Adhering to Regulatory and Compliance Requirements
5.4.1.3 Benefits of Streamlined Business Operations
5.4.1.4 Data Prep Tools Help Companies in Predictive Business Analytics
5.4.2 Restraints
5.4.2.1 Presence of Data Silos
5.4.2.2 Lack of Awareness & Expertise and Other Operational Challenges
5.4.3 Opportunities
5.4.3.1 Evolution of Iot
5.4.3.2 Increasing Number of Organizations Harnessing the Advantage of Data Preparation
5.4.3.3 Need for Deploying Specific Tools and Technologies to Increase Data Access and Data Convergence
5.4.4 Challenges
5.4.4.1 Difficulties in Shifting From Traditional Architecture to New Technologies and Systems
5.4.4.2 Data Security and Privacy Concerns

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