Data Quality Tools Market by Data Type (Customer Data, Product Data, Financial Data, Compliance Data, and Supplier Data), Component (Software and Services), Business Function, Deployment Model, Organization Size, Vertical - Global Forecast to 2022

データ品質ツールの世界市場予測(~2022年):顧客データ、製品データ、財務データ、コンプライアンスデータ、サプライヤーデータ

◆タイトル:Data Quality Tools Market by Data Type (Customer Data, Product Data, Financial Data, Compliance Data, and Supplier Data), Component (Software and Services), Business Function, Deployment Model, Organization Size, Vertical - Global Forecast to 2022
◆商品コード:MAM-TC5412
◆調査・発行会社:MarketsandMarkets
◆発行日:2017年7月14日
◆ページ数:156
◆レポート形式:PDF / 英語
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【レポートの概要】

当調査レポートでは、データ品質ツールの世界市場について調査・分析し、エグゼクティブサマリー、市場インサイト、市場概観/市場動向、産業動向、市場シェア分析、データ種類別分析、構成要素別分析、業務機能別分析、企業規模別分析、データ品質ツールの世界市場規模及び予測、市場動向、競争状況、関連企業分析などの情報をお届けいたします。

The data quality tools market is expected to grow from USD 610.2 Million in 2017 to USD 1,376.7 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 17.7%. The increasing volume of business data and the need for improving the bottom-line performance through better customer engagement are some of the key drivers of this market.
The report provides detailed insights into the global market, which is segmented on the basis of data types, business functions, components, deployment models, organization sizes, verticals, and regions. In the data quality tools market by data type, the compliance data in the data type segment is expected to hold the largest market share during the forecast period. The increasing regulatory pressures in all the verticals, especially the data-centric verticals, such as Banking, Financial Services, and Insurance (BFSI), healthcare, and IT and telecommunications has all leveraged the significant growth of data.

The on-premises deployment model has a high adoption rate as compared to the on-demand deployment model. The on-premises deployment model provides confidentiality and privacy parameters to the organizational data; hence, most of the organizations are adopting the on-premises deployment model.

The BFSI vertical is expected to have the largest market size during the forecast period. The sheer generation of data around this vertical, supplemented with global regulations, such as Basel III, Dodd Frank, Markets in Financial Instruments Directive (MiFID) EU Solvency II, and Volker rule in the regions of Europe and North America have all contributed to the significant adoption of data quality tools and services. Moreover, data quality tools also play a crucial role in the BFSI vertical, where functions, such as data profiling, data cleansing, and data de- duplication are comprehensively used to gain a wider control of the business and achieve a competitive advantage in the market.

The report covers all the major aspects of the data quality tools market and provides an in-depth analysis across the regions of North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America. The market in North America is expected to hold the largest market share, whereas the APAC region is projected to provide significant opportunities in this market and expected to grow at the highest CAGR during the forecast period.

Data quality tools are gaining a wide momentum in enterprises as organizations have finally waken up to extract meaningful insights from a pool of data generated within their multiple systems. The exponential growth of big data with the proliferation of Internet of Things (IoT) devices is expected to have significantly fueled the need of efficient data quality tools that would be instrumental in funneling down the data needed to analyze and take decisions. The data quality tools market encompasses many players, such as Microsoft Corporation, SAP SE, and SAS Institute, Inc., who have adopted numerous growth strategies, such as mergers and acquisitions, new product launches, and business expansions to enhance their market share. The companies are increasingly deploying both organic as well as inorganic strategies to drive their growth in the burgeoning market. The North American region is touted as the largest adopter of data quality tools and services owing to the massive research happening in and around numerous verticals. Numerous case studies in telecommunication, healthcare, retail, and manufacturing are a testament to the fact that data quality tools would be adopted substantially in the region. Moreover, North America’s overall Gross Domestic Product (GDP) continues to grow with a strong hold in the telecom, healthcare, and manufacturing sectors. The implementation of quality tools and services is expected to reach new trajectories.

The lack of awareness is a major restraining factor for the growth of the data quality tools market. Complex data structures and data timeliness are the challenges in adopting data quality tools and services.

Most of the vendors have adopted acquisitions, agreements, collaborations and partnerships, new product launches, product upgradations, and expansions as their key strategies to expand their client base and enhance the customer experience. For instance, in May 2017, Informatica updated Informatica Intelligent Cloud Services, the advanced Integration Platform as a Service (IPaaS), which would be available for end-to-end enterprise cloud data management. The update comes with next-generation user experience, based on a modern Application Program Interface (API)-based micro services architecture. The strategy of new product launch has also been adopted by the top players to enhance their presence and dominance in this market. For example, in March 2017, Trillium Software, a Syncsort company, launched Trillium Precise, a data as a service solution that offers a single view of customers, enabling accurate, verified, and complete data in real time.

【レポートの目次】

1 Introduction (Page No. – 15)
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
2.5 Limitations

3 Executive Summary (Page No. – 26)

4 Premium Insights (Page No. – 31)
4.1 Attractive Market Opportunities in the Data Quality Tools Market
4.2 Data Quality Tools: Market Share Across Various Regions
4.3 Data Quality Tools Market: By Vertical and Region
4.4 Lifecycle Analysis, By Region, 2017

5 Market Overview and Industry Trends (Page No. – 34)
5.1 Market Overview
5.1.1 Introduction
5.1.2 Market Dynamics
5.1.2.1 Drivers
5.1.2.1.1 Increasing Volume of Business Data
5.1.2.1.2 Need for Improving Bottom-Line Performance Through Better Customer Engagement
5.1.2.1.3 Increasing Use of External Data Sources
5.1.2.1.4 Increasing Regulatory Pressure and Risk to Brand Reputation
5.1.2.2 Restraints
5.1.2.2.1 Lack of Awareness
5.1.2.3 Opportunities
5.1.2.3.1 Rise of Artificial Intelligence for Data Quality
5.1.2.4 Challenges
5.1.2.4.1 Complex Data Structures
5.1.2.4.2 Integration Affecting Data Timeliness
5.2 Industry Trends
5.2.1 Technology Overview
5.2.1.1 Normalization Tools
5.2.1.2 Statistical Tools
5.2.1.3 ETL Tools
5.2.2 Data Quality Tools—Use Cases
5.2.2.1 Use Case #1
5.2.2.2 Use Case #2
5.2.2.3 Use Case #3
5.2.2.4 Use Case #4
5.2.2.5 Use Case #5
5.2.3 Data Quality Activities

6 Data Quality Tools Market Analysis, By Data Type (Page No. – 43)
6.1 Introduction
6.2 Customer Data
6.3 Product Data
6.4 Financial Data
6.5 Compliance Data
6.6 Supplier Data

7 Data Quality Tools Market Analysis, By Business Function (Page No. – 48)
7.1 Introduction
7.2 Marketing
7.3 Sales
7.4 Finance
7.5 Legal
7.6 Operations
7.7 Human Resources

8 Data Quality Tools Market Analysis, By Component (Page No. – 55)
8.1 Introduction
8.2 Software
8.3 Services
8.3.1 Professional Services
8.3.1.1 Consulting Services
8.3.1.2 Support and Maintenance
8.3.1.3 Education and Training
8.3.2 Managed Services

9 Data Quality Tools Market Analysis, By Deployment Model (Page No. – 62)
9.1 Introduction
9.2 On-Premises
9.3 On-Demand

10 Data Quality Tools Market Analysis, By Organization Size (Page No. – 66)
10.1 Introduction
10.2 Large Enterprises
10.3 Small and Medium-Sized Enterprises

11 Data Quality Tools Market Analysis, By Vertical (Page No. – 70)
11.1 Introduction
11.2 Banking, Financial Services, and Insurance
11.3 Telecommunications and IT
11.4 Retail and Ecommerce
11.5 Healthcare and Life Sciences
11.6 Manufacturing
11.7 Government
11.8 Energy and Utilities
11.9 Media and Entertainment
11.10 Others

12 Geographic Analysis (Page No. – 80)
12.1 Introduction
12.2 North America
12.3 Europe
12.4 Asia Pacific
12.5 Middle East and Africa
12.6 Latin America

13 Competitive Landscape (Page No. – 102)
13.1 Microquadrant Overview
13.1.1 Visionary Leaders
13.1.2 Innovators
13.1.3 Dynamic Differentiators
13.1.4 Emerging Companies
13.2 Competitive Benchmarking
13.2.1 Strength of Product Portfolio Adopted By Major Players in the Market
13.2.2 Business Strategy Excellence Adopted By Major Players in the Market

14 Company Profiles (Page No. – 106)
Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments, Key Relationships
14.1 International Business Machines Corporation
14.2 Informatica
14.3 Oracle Corporation
14.4 SAP SE
14.5 SAS Institute Inc.
14.6 Talend
14.7 Experian PLC
14.8 Information Builders
14.9 Microsoft Corporation
14.10 Pitney Bowes Inc.
14.11 Syncsort
14.12 Tamr
14.13 Trianz

*Details on Overview, Strength of Product Portfolio, Business Strategy Excellence, Recent Developments Might Not Be Captured in Case of Unlisted Companies.

15 Appendix (Page No. – 144)
15.1 Key Insights
15.2 Discussion Guide
15.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
15.4 Introducing RT: Real-Time Market Intelligence
15.5 Available Customization
15.6 Related Reports
15.8 Author Details

List of Tables (76 Tables)

Table 1 United States Dollar Exchange Rate, 2014–2016
Table 2 Evaluation Criteria
Table 3 Data Quality Tools Market Size, By Data Type, 2015–2022 (USD Million)

List of Tables (76 Tables)

Table 1 United States Dollar Exchange Rate, 2014–2016
Table 2 Evaluation Criteria
Table 3 Data Quality Tools Market Size, By Data Type, 2015–2022 (USD Million)
Table 4 Customer Data: Market Size, By Region, 2015–2022 (USD Million)
Table 5 Product Data: Market Size, By Region, 2015–2022 (USD Million)
Table 6 Financial Data: Market Size, By Region, 2015–2022 (USD Million)
Table 7 Compliance Data: Market Size, By Region, 2015–2022 (USD Million)
Table 8 Supplier Data: Market Size, By Region, 2015–2022 (USD Million)
Table 9 Data Quality Tools Market Size, By Business Function, 2015–2022 (USD Million)
Table 10 Marketing: Market Size, By Region, 2015–2022 (USD Million)
Table 11 Sales: Market Size, By Region, 2015–2022 (USD Million)
Table 12 Finance: Market Size, By Region, 2015–2022 (USD Million)
Table 13 Legal: Market Size, By Region, 2015–2022 (USD Million)
Table 14 Operations: Market Size, By Region, 2015–2022 (USD Million)
Table 15 Human Resources: Market Size, By Region, 2015–2022 (USD Million)
Table 16 Data Quality Tools Market Size, By Component, 2015–2022 (USD Million)
Table 17 Market Size, By Service, 2015–2022 (USD Million)
Table 18 Market Size, By Professional Service, 2015–2022 (USD Million)
Table 19 Professional Services: Market Size, By Region, 2015–2022 (USD Million)
Table 20 Consulting Services Market Size, By Region, 2015–2022 (USD Million)
Table 21 Support and Maintenance Services Market Size, By Region, 2015–2022 (USD Million)
Table 22 Education and Training Market Size, By Region, 2015–2022 (USD Million)
Table 23 Managed Services: Market Size, By Region, 2015–2022 (USD Million)
Table 24 Data Quality Tools Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 25 On-Premises: Market Size, By Region, 2015–2022 (USD Million)
Table 26 On-Demand: Market Size, By Region, 2015–2022 (USD Million)
Table 27 Data Quality Tools Market Size, By Organization Size, 2015–2022 (USD Million)
Table 28 Large Enterprises: Market Size, By Region, 2015–2022 (USD Million)
Table 29 Small and Medium-Sized Enterprises: Market Size, By Region, 2015–2022 (USD Million)
Table 30 Data Quality Tools Market Size, By Vertical, 2015–2022 (USD Million)
Table 31 Banking, Financial Services, and Insurance: Market Size, By Region, 2015–2022 (USD Million)
Table 32 Telecommunications and IT: Market Size, By Region, 2015–2022 (USD Million)
Table 33 Retail and Ecommerce: Market Size, By Region, 2015–2022 (USD Million)
Table 34 Healthcare and Life Sciences: Market Size, By Region, 2015–2022 (USD Million)
Table 35 Manufacturing: Market Size, By Region, 2015–2022 (USD Million)
Table 36 Government: Market Size, By Region, 2015–2022 (USD Million)
Table 37 Energy and Utilities: Market Size, By Region, 2015–2022 (USD Million)
Table 38 Media and Entertainment: Market Size, By Region, 2015–2022 (USD Million)
Table 39 Others: Market Size, By Region, 2015–2022 (USD Million)
Table 40 Data Quality Tools Market Size, By Region, 2015–2022 (USD Billion)
Table 41 North America: Data Quality Tools Market Size, By Vertical, 2015–2022 (USD Million)
Table 42 North America: Market Size, By Component, 2015–2022 (USD Million)
Table 43 North America: Market Size, By Service, 2015–2022 (USD Million)
Table 44 North America: Market Size, By Data Type, 2015–2022 (USD Million)
Table 45 North America: Market Size, By Business Function, 2015–2022 (USD Million)
Table 46 North America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 47 North America: Market Size, By Organization Size, 2015–2022 (USD Million)
Table 48 Europe: Data Quality Tools Market Size, By Vertical, 2015–2022 (USD Million)
Table 49 Europe: Market Size, By Component, 2015–2022 (USD Million)
Table 50 Europe: Market Size, By Service, 2015–2022 (USD Million)
Table 51 Europe: Market Size, By Data Type, 2015–2022 (USD Million)
Table 52 Europe: Market Size, By Business Function, 2015–2022 (USD Million)
Table 53 Europe: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 54 Europe: Market Size, By Organization Size , 2015–2022 (USD Million)
Table 55 Asia Pacific: Data Quality Tools Market Size, By Vertical, 2015–2022 (USD Million)
Table 56 Asia Pacific: Market Size, By Component, 2015–2022 (USD Million)
Table 57 Asia Pacific: Market Size, By Service, 2015–2022 (USD Million)
Table 58 Asia Pacific: Market Size, By Data Type, 2015–2022 (USD Million)
Table 59 Asia Pacific: Market Size, By Business Function, 2015–2022 (USD Million)
Table 60 Asia Pacific: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 61 Asia Pacific: Market Size, By Organization Size , 2015–2022 (USD Million)
Table 62 Middle East and Africa: Data Quality Tools Market Size, By Vertical, 2015–2022 (USD Million)
Table 63 Middle East and Africa: Market Size, By Component, 2015–2022 (USD Million)
Table 64 Middle East and Africa: Market Size, By Service, 2015–2022 (USD Million)
Table 65 Middle East and Africa: Market Size, By Business Function, 2015–2022 (USD Million)
Table 67 Middle East and Africa: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 68 Middle East and Africa: Market Size, By Organization Size , 2015–2022 (USD Million)
Table 69 Latin America: Data Quality Tools Market Size, By Vertical, 2015–2022 (USD Million)
Table 70 Latin America: Market Size, By Component, 2015–2022 (USD Million)
Table 71 Latin America: Market Size, By Service, 2015–2022 (USD Million)
Table 72 Latin America: Market Size, By Data Type, 2015–2022 (USD Million)
Table 73 Latin America: Market Size, By Business Function, 2015–2022 (USD Million)
Table 74 Latin America: Market Size, By Deployment Model, 2015–2022 (USD Million)
Table 75 Latin America: Market Size, By Organization Size , 2015–2022 (USD Million)
Table 76 Market Ranking for the Data Quality Tools Market, 2017

List of Figures (39 Figures)

Figure 1 Data Quality Tools Market: Market Segmentation
Figure 2 Regional Scope
Figure 3 Data Quality Tools Market: Research Design
Figure 4 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 Data Quality Tools Market: Assumptions
Figure 9 Market: Evolution
Figure 10 Market is Expected to Witness A Significant Growth During the Forecast Period
Figure 11 Market Snapshot, By Data Type (2017–2022)
Figure 12 Market Snapshot, By Business Function (2017–2022)
Figure 13 Market Snapshot, By Component (2017 vs 2022)
Figure 14 Market Snapshot, By Deployment Model (2017–2022)
Figure 15 Market Snapshot, By Organization Size (2017–2022)
Figure 16 Market Snapshot, By Vertical (2017 vs 2022)
Figure 17 Increasing Volume of Business Data is Expected to Drive the Market During the Forecast Period
Figure 18 North America is Expected to Dominate the Global Market in 2017
Figure 19 Banking, Financial Services, and Insurance, and North America are Expected to Have the Largest Market Share in 2017
Figure 20 Asia Pacific is Expected to Enter the Exponential Growth Phase During the Forecast Period
Figure 21 Data Quality Tools Market: Drivers, Restraints, Opportunities, and Challenges
Figure 22 Compliance Data Type is Expected to Have the Largest Market Size During the Forecast Period
Figure 23 Finance Business Function is Expected to Have the Largest Market Size in 2017
Figure 24 Software Component is Estimated to Have the Larger Market Size in 2017
Figure 25 On-Premises Deployment Model is Expected to Have the Larger Market Size During the Forecast Period
Figure 26 Large Enterprises Segment is Expected to Have the Larger Market Size During the Forecast Period
Figure 27 Banking, Financial Services, and Insurance Vertical is Expected to Have the Largest Market Size During the Forecast Period
Figure 28 North America is Expected to Have the Largest Market Size in the Market During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 Asia Pacific: Market Snapshot
Figure 31 Data Quality Tools Market (Global), Competitive Leadership Mapping, 2017
Figure 32 International Business Machines Corporation: Company Snapshot
Figure 33 Oracle Corporation: Company Snapshot
Figure 34 SAP SE: Company Snapshot
Figure 35 SAS Institute Inc.: Company Snapshot
Figure 36 Talend: Company Snapshot
Figure 37 Experian PLC: Company Snapshot
Figure 38 Microsoft Corporation: Company Snapshot
Figure 39 Pitney Bowes Inc.: Company Snapshot

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データ品質ツール、顧客データ、製品データ、財務データ、コンプライアンスデータ、サプライヤーデータ、データ品質ソフトウェア、データ品質サービス

★調査レポート[データ品質ツールの世界市場予測(~2022年):顧客データ、製品データ、財務データ、コンプライアンスデータ、サプライヤーデータ] ( Data Quality Tools Market by Data Type (Customer Data, Product Data, Financial Data, Compliance Data, and Supplier Data), Component (Software and Services), Business Function, Deployment Model, Organization Size, Vertical - Global Forecast to 2022 / MAM-TC5412) 販売に関する免責事項
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