Data Quality Tools Market Size is Thriving Worldwide- Demand and Analysis

Global Data Quality Tools Market: Global Size, Trends, Competitive, Historical & Forecast Analysis, 2019-2025- Growing amounts of business data, rising investments in BigData, cloud technologies, increasing need for customer relationship management to maintain positive brand image, and rising adoption of external sources for information, are the major factors for driving the growth of Global Data Quality Tools Market.

Global Data Quality Tools Market is valued at USD 713.78 Million in 2018 and expected to reach USD 2277.07 Million by 2025 with the CAGR of 22.08% over the forecast period.

Scope of Global Data Quality Tools Market Report-

Data quality tools analyze sets of information and identify insufficient data. It helps maintain customer relationship management (CRM), data integration and regulatory requirements. Data quality tools help extract large amounts of data from many sources and use that data to provide more ways to analyze your business. Maintaining data quality is a daunting task and it has become critical. Many organizations use data quality tools to launch their data quality plans to improve data quality plans, as they also offer standardization and deduplication capabilities. Data quality tools provide standardization, matching and analysis of data to capture statistical information, monitor and maintain data integrity constraints. Several large companies collaborate to develop powerful data quality tools for their business.

Data quality software improves data quality through various standardized processes to maintain data quality in accordance with specific industry standards. Data quality tools solve key problems in all areas of information resource management, typically involving a variety of key applications, including CRM, ERP and BI. Data quality tools can improve the accuracy, timeliness, completeness and consistency of information in various business operations. Available Data quality tools in the market serve a variety of functions, including data cleaning, data profiling, data matching, data normalization, data enrichment and data monitoring.

Global Data Quality Tools Market is segmented on the basis of data outlook, component type, functionality, deployment outlook and vertical. On the basis of data outlook, the market is segmented into product data, supplier data, consumer data, financial data, compliance data, employee data and others. On the basis of component type, market is segmented into software and services. On the basis of deployment outlook, the market is segmented into on-premise and on-demand. On the basis of functionality, the market is segmented into sales, marketing, operations, HR, IT, international business, and legal. On the basis of vertical, the market is segmented into banking, IT, telecommunications, finance, government, manufacturing, retail, energy, media, entertainment, healthcare and others.

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Key Players Data Quality Tools Market Report-

Data Quality Tools Market report covers major key players in the market like Microsoft Corporation, IBM Corporation, SAS Institute Inc., SAP SE, Oracle Corporation, Informatics Corporation, Pitney Bowes, Information Builder, Experian Data Quality, Talend, and others.

News-

IBM introduces expansion of Cloud Pak, enhancing New DataOps for AI

September10^th, 2019; IBM, which is a global leader in providing data quality management tools, expands its Cloud Pak for Data, which is an analytics platform through its data and AI catalog, Watson Knowledge Catalog (WKC). It offers clients an easy access to NewOps data and get it ready for artificial intelligence. This will aim to improve on data quality and thereby, governance. In the procedure, it expands its team of Data Science to carefully practice Data Operations.

North America is expected to remain a dominant region in the Global Data Quality Tools Market.

North America is the dominant region in the market with the largest share of the global Data Quality Tools market, due to a prominent space of the region on a technological front. Countries in North America like USA are always the early adopters of new technology. Moreover, widely spread digitalization, along with efficient IT enabled data quality handling systems, and large-scale incorporation of AI and IoT in various segments of data quality management tools are the main reasons for the dominance of the region in the market.

Whereas Asia Pacific region is expected to grow at a fastest rate and exhibit a spurring growth in the Data Quality Tools market.Large developing economies such as India, China, Australia and New Zealand are expected to encounter propelling growth, which actively use data quality tools to maintain their competitive advantage in Asia-Pacificmarket. The other reasons being advancements in technology, unstable economic conditions and the emergence of small and medium-sized enterprises (SMEs), advent of entrepreneurship, and increasing endeavors in government policies to aid the adoption of technology, and flourishing e-commerce sector are some of the main factors in the growth of the market for data quality tools in the region. For instance, Indian government has announced in December of 2019,in the initiative ‘NITIAayog’, a policy for transforming India, there will be a beginning of improving and working towards data quality tools and management in the country.

Key Benefits of Global Data Quality Tools Market Report-

· Global market report covers in depth historical and forecast analysis.

· Global market research report provides detailed information about Market Introduction, Market Summary, Global Market Revenue (USD), Market Drivers, Market Restraints, Market Opportunities, Competitive Analysis, Regional and Country level.

· Global market report helps to identify opportunities in market place.

· Global market report covers extensive analysis of emerging trends and competitive landscape.

Global Data Quality Tools Market Segmentation: -

By Data:

· Product data

· Supplier data

· Consumer data

· Financial data

· Compliance data

· Employee data

By Component Type:

· Software

· Services

By Deployment:

· On-premise

· On-demand

By Functionality:

· Sales

· Marketing

· Operations

· HR

· IT

· International business

· Legal

By Vertical:

· Banking

· IT

· Telecommunications

· Finance

· Government

· Manufacturing

· Retail

· Energy

· Media

· Entertainment

· Healthcare

By Regional Analysis:

· North America

· Europe

· Asia Pacific

· Latin America

· Middle East and Africa

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