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

データ作成の世界市場予測(~2021):プラットフォーム、ツール

◆タイトル: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
◆商品コード:MAM-TC-4791
◆調査・発行会社:MarketsandMarkets
◆発行日:2016年11月30日
◆ページ数:132
◆レポート形式:PDF / 英語
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【レポートの概要】

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The data prep market is estimated to grow from USD 1.46 Billion in 2016 to USD 3.93 Billion by 2021, at a high Compound Annual Growth Rate (CAGR) of 25.2% during the forecast period. Data prep makes use of tools such as data curation, data cataloging, data quality, data ingestion, and data governance to create consistent data of high quality, by eliminating low quality and incorrect data which would hamper the efficient functioning of processes like analytics and data mining. Data prep makes it possible to validate and rationalize data obtained from various disparate sources, which help in the integration of different applications. When siloed data systems are brought together in a data warehouse or data lake repository, data prep helps to prepare the data that can then be used for analytics, as well as optimization and simulation to generate useful information.
Emergence of big data has resulted into the rise of huge volumes of data and related technologies such as data prep. Data prep tools are gaining traction due to increased need to analyze the voluminous data being generated from internal and external sources within organizations on a daily basis. Data preparation is presently creating a buzz in both business and IT sides of organizations. Data prep tool vendors are also focusing on innovative software technologies for accelerating, if not automating, the analytical process, to support business analytics. Preparing, blending, integrating, cleansing, transforming, governing, and defining the metadata of multiple sources of data including new, raw, big data in Hadoop has been primarily an IT job; however, the broadening of interest in data science and analytics has drawn non-IT personnel into the execution of these tasks.

The data preparation process generally begins with data sourcing and ingestion, moves through making data suitable for use through transformation and enrichment, and then integrates with governance and stewardship for monitoring and improving how data is used for Business Intelligence (BI) and analytics. The steps are interdependent and do not always run sequentially. As a series of ongoing processes, data preparation is not a onetime event. Business and IT should collaborate and iterate on data set preparation.

The data prep market is segmented by platform, tool, deployment model, industry vertical, and region. Data prep tools are used widely by major industry verticals such as BFSI, retail & ecommerce, telecommunications & IT, energy & utilities, government, healthcare, manufacturing, transportation & logistics, and others (hospitality services, education, and travel & hospitality) for different business needs.

The report covers all the major aspects of the data prep market and provides an in-depth analysis across the regions of North America, Europe, Asia-Pacific (APAC), Middle East & Africa (MEA), and Latin America. The market in North America is expected to hold the largest share. The APAC region is projected to have great opportunities in this market and to grow at the highest CAGR by 2021. This is due to the massive growth of data through IoT and other connected devices.

Major vendors that offer data prep offerings globally are Microsoft Corporation (U.S.), IBM Corporation (U.S.), TIBCO Software (U.S.), SAP SE (Germany), SAS Institute (U.S.), Alteryx, Inc. (U.S.), Informatica (U.S.), Datawatch Corporation (U.S.), and Talend (U.S.). These vendors adopted different types of organic as well as inorganic growth strategies such as new product launches, partnerships & collaborations, and mergers & acquisitions to expand their offerings in the data prep market.

【レポートの目次】

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

6 Industry Trends (Page No. – 38)
6.1 Introduction
6.2 Value Chain Analysis
6.3 Strategic Benchmarking
6.4 Used Cases
6.4.1 Used Case 1
6.4.2 Used Case 2
6.4.3 Used Case 3

7 Data Prep Market Analysis, By Platform (Page No. – 41)
7.1 Introduction
7.2 Self-Service Data Prep
7.3 Data Integration

8 Data Prep Market Analysis, By Tool (Page No. – 45)
8.1 Introduction
8.2 Data Curation
8.3 Data Cataloging
8.4 Data Quality
8.5 Data Ingestion
8.6 Data Governance

9 Data Prep Market, By Deployment Model (Page No. – 51)
9.1 Introduction
9.2 Hosted
9.3 On-Premises

10 Data Prep Market Analysis, By Vertical (Page No. – 55)
10.1 Introduction
10.2 Banking, Financial Services, and Insurance
10.3 Government
10.4 Healthcare
10.5 Retail and E-Commerce
10.6 Manufacturing
10.7 Energy and Utilities
10.8 Transportation
10.9 IT and Telecommunication
10.10 Others

11 Geographic Analysis (Page No. – 66)
11.1 Introduction
11.2 North America
11.3 Europe
11.4 Asia-Pacific
11.5 Middle East and Africa
11.6 Latin America

12 Competitive Landscape (Page No. – 82)
12.1 Overview
12.2 Competitive Situations and Trends
12.2.1 Agreements, Partnerships, and Collaborations
12.2.2 Mergers and Acquisitions
12.2.3 New Product Launches
12.3 Vendor Analysis

13 Company Profiles (Page No. – 90)
13.1 Introduction
(Overview, Financials, Products & Services, Strategy, and Developments)*
13.2 Alteryx, Inc
13.3 Informatica
13.4 International Business Machines Corporation
13.5 Tibco Software Inc.
13.6 Microsoft Corporation
13.7 SAS Institute
13.8 Datawatch Corporation
13.9 Tableau Software, Inc.
13.10 Qlik Technologies Inc.
13.11 SAP SE.
13.12 Talend
13.13 Microstrategy Incorporated

*Details on Overview, Financials, Product & Services, Strategy, and Developments Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. – 122)
14.1 Key Insights of Industry Experts
14.2 Discussion Guide
14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
14.4 Introducing RT: Real-Time Market Intelligence
14.5 Available Customization
14.6 Related Reports
14.7 Author Details

List of Tables (47 Tables)

Table 1 Data Prep Market Size and Growth, 2016–2021 (USD Billion, Y-O-Y %)
Table 2 Market Size, By Platform, 2014–2021 (USD Million)
Table 3 Self-Service Data Prep: Market Size, By Region, 2014–2021 (USD Million)
Table 4 Data Integration: Market Size, By Region, 2014–2021 (USD Million)
Table 5 Data Prep Market Size, By Tool, 2014–2021 (USD Million)
Table 6 Data Curation: Market Size, By Region, 2014–2021 (USD Million)
Table 7 Data Cataloging: Market Size, By Region, 2014–2021 (USD Million)
Table 8 Data Quality: Market Size, By Region, 2014–2021 (USD Million)
Table 9 Data Ingestion: Market Size, By Region, 2014–2021 (USD Million)
Table 10 Data Governance: Market Size, By Region, 2014–2021 (USD Million)
Table 11 Data Prep Market Size, By Deployment Model, 2014–2021 (USD Million)
Table 12 Hosted: Market Size, By Region, 2014–2021 (USD Million)
Table 13 On-Premises: Market Size, By Region, 2014–2021 (USD Million)
Table 14 Data Prep Market Size, By Vertical, 2014–2021 (USD Million)
Table 15 Banking, Financial Services, and Insurance: Market Size, By Region, 2014–2021 (USD Million)
Table 16 Government: Market Size, By Region, 2014–2021 (USD Million)
Table 17 Healthcare: Market Size, By Region, 2014–2021 (USD Million)
Table 18 Retail and E-Commerce: Market Size, By Region, 2014–2021 (USD Million)
Table 19 Manufacturing: Market Size, By Region, 2014–2021 (USD Million)
Table 20 Energy and Utilities: Market Size, By Region, 2014–2021 (USD Million)
Table 21 Transportation: Market Size, By Region, 2014–2021 (USD Million)
Table 22 IT and Telecommunication: Market Size, By Region, 2014–2021 (USD Million)
Table 23 Others: Market Size, By Region, 2014–2021 (USD Million)
Table 24 Data Prep Market Size, By Region, 2014–2021 (USD Million)
Table 25 North America: Market Size, By Platform, 2014–2021 (USD Million)
Table 26 North America: Market Size, By Tool, 2014–2021 (USD Million)
Table 27 North America: Market Size, By Deployment Model, 2014–2021 (USD Million)
Table 28 North America: Market Size, By Industry Vertical, 2014–2021 (USD Million)
Table 29 Europe: Data Prep Market Size, By Platform, 2014–2021 (USD Million)
Table 30 Europe: Market Size, By Tool, 2014–2021 (USD Million)
Table 31 Europe: Market Size, By Deployment Model, 2014–2021 (USD Million)
Table 32 Europe: Market Size, By Industry Vertical, 2014–2021 (USD Million)
Table 33 Asia-Pacific: Market Size, By Platform, 2014–2021 (USD Million)
Table 34 Asia-Pacific: Market Size, By Tool, 2014–2021 (USD Million)
Table 35 Asia-Pacific: Market Size, By Deployment Model, 2014–2021 (USD Million)
Table 36 Asia-Pacific: Data Prep Market Size, By Industry Vertical, 2014–2021 (USD Million)
Table 37 Middle East and Africa: Market Size, By Platform, 2014–2021 (USD Million)
Table 38 Middle East and Africa: Market Size, By Tool, 2014–2021 (USD Million)
Table 39 Middle East and Africa: Market Size, By Deployment Model, 2014–2021 (USD Million)
Table 40 Middle East and Africa: Market Size, By Industry Vertical, 2014–2021 (USD Million)
Table 41 Latin America: Data Prep Market Size, By Platform, 2014–2021 (USD Million)
Table 42 Latin America: Market Size, By Tool, 2014–2021 (USD Million)
Table 43 Latin America: Market Size, By Deployment Model, 2014–2021 (USD Million)
Table 44 Latin America: Market Size, By Industry Vertical, 2014–2021 (USD Million)
Table 45 Agreements, Partnerships, and Collaborations, 2013–2016
Table 46 Mergers and Acquisitions, 2013–2016
Table 47 New Product Launches, 2013–2016


List of Figures (51 Figures)

Figure 1 Data Prep Market: Research Design
Figure 2 Market Size Estimation Methodology: Bottom-Up Approach
Figure 3 Market Size Estimation Methodology: Top-Down Approach
Figure 4 Data Triangulation
Figure 5 Data Prep Market is Poised to Witness Growth in the Global Market for the Period 2016–2021
Figure 6 Market Snapshot on the Basis of Platforms (2016 vs 2021)
Figure 7 Market Snapshot on the Basis of Tools (2016–2021)
Figure 8 Market Snapshot on the Basis of Deployment Model (2016–2021)
Figure 9 Market is Expected to Witness Remarkable Growth Opportunities Due to the Increasing Importance of On-Time Qualified Data
Figure 10 Self-Service Data Prep Platform is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 11 North America is Expected to Hold the Largest Market Share in the Data Prep Market
Figure 12 Asia-Pacific is Expected to Witness the Highest Growth Rate During the Forecast Period
Figure 13 Regional Lifecycle: Asia-Pacific is Expected to Be in the Growth Phase in 2016
Figure 14 Evolution of Data Prep
Figure 15 Data Prep Market Segmentation: By Platform
Figure 16 Market Segmentation: By Tool
Figure 17 Market Segmentation: By Deployment Model
Figure 18 Market Segmentation: By Industry Vertical
Figure 19 Market Segmentation: By Region
Figure 20 Growth of the Data Prep Market Due to Rising Importance for On-Time Qualified Data
Figure 21 Value Chain Analysis: Data Prep Market
Figure 22 Data Prep Market: Strategic Benchmarking (2013-2016)
Figure 23 Self-Service Data Prep is Expected to Grow at A Highest CAGR During the Forecast Period
Figure 24 Data Governance is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 25 Hosted Data Prep Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 26 IT and Telecommunication Vertical is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 27 Geographic Snapshot: Asia-Pacific is Estimated to Have the Highest CAGR in the Data Prep Market
Figure 28 North America is Projected to Have the Largest Market Share in the Data Prep Market in the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Europe: Market Snapshot
Figure 31 Asia-Pacific: Market Snapshot
Figure 32 Companies Adopted the Strategy of New Product Launches and New Product Developments as the Key Growth Strategy From 2015 to 2016
Figure 33 Market Evaluation Framework
Figure 34 Battle for Market Share: the Strategy of New Product Launches and New Product Developments Was the Key Strategy Adopted By Key Players in the Data Prep Market During the Period 2013–2016
Figure 35 Vendor Analysis: Criteria Weightage
Figure 36 Product Offerings Comparison
Figure 37 Business Strategy Comparison
Figure 38 Geographic Revenue Mix of Top Five Market Players
Figure 39 Alteryx, Inc: SWOT Analysis
Figure 40 Informatica: SWOT Analysis
Figure 41 International Business Machines Corporation: SWOT Analysis
Figure 42 Tibco Software: SWOT Analysis
Figure 43 Microsoft Corporation: Company Snapshot
Figure 44 Microsoft Corporation: SWOT Analysis
Figure 45 SAS Institute: Company Snapshot
Figure 46 Datawatch Corporation: Company Snapshot
Figure 47 Tableau Software, Inc.: Company Snapshot
Figure 48 Qlik Technologies Inc. : Company Snapshot
Figure 49 SAP SE: Company Snapshot
Figure 50 Talend: Company Snapshot
Figure 51 Microstrategy, Inc.: Company Snapshot

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★調査レポート[データ作成の世界市場予測(~2021):プラットフォーム、ツール] ( 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 / MAM-TC-4791) 販売に関する免責事項
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