Global Data Quality Software Market Overview:
Data quality software is a tool designed to increase the accuracy, reliability, and consistency of an organization's data. It can be analyzes sets of information, incomplete or improperly formatted data. There are three general categories of data quality tools. There are some features of this software such as connectivity to multiple data sources, matching & merging capabilities and others. This software allows businesses to store & maintain customer data. However, as data analytics technology continuously developing and cross-functional solutions are more prevalent. Moreover, this software is largely beneficial for data analysts, marketers and salespeople.
Attributes | Details |
---|
Study Period | 2018-2028 |
Base Year | 2022 |
Forecast Period | 2023-2028 |
Historical Period | 2018-2022 |
Unit | Value (USD Million) |
Customization Scope | Avail customization with purchase of this report. Add or modify country, region & or narrow down segments in the final scope subject to feasibility |
Influencing Trend:
Increasing Trend Owing To the Reduces Time To Implement Data Governance Or Compliance Audits. and Growing Popularity for Storing, Profiling and Auditing of Data
Market Growth Drivers:
Growing Demand from Software Companies for Store & Analysis of the Data and Rising Demand for Security, Confidentiality and Integrity of Data
Challenges:
Cloud Based Tools May Not Always Notify When They Are Modify and High Price Associated with Data Quality Softwares
Restraints:
Confidential Data May Be Hacked By Ethical Hackers and Data Cloud Be Damaged While Being Transferred Over the Network
Opportunities:
Enables to have Better Business Decisions, Technology Advancement & Development in Industry 4.0 and Rising Infrastructure of Finance, Healthcare and Automation Industries
Competitive Landscape:
Data Quality Software market is a fragmented market due to the presence of various players. The players are focusing on developing innovative products and solutions to improve quality, enhances and promotes performance. The companies are coming up with partnerships or agreements along with planning strategic activities such as partnerships, product launch, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge.
Some of the key players profiled in the report are Informatica Corporation (United States), IBM Corporation (United States), SAP SE (Germany), Syncsort (United States), Talend (United States), Experian PLC (Ireland), Oracle Corporation (United States), Alteryx Inc (United States), Microsoft Corporation (United States), Pitney Bowes (United States), Ataccama Corporation (Canada), Data Ladder (United States), Information Builders Inc (United States), Tamr Inc (United States), Ixsight Technologies Pvt Ltd (United States), DQ Global Ltd (United Kingdom), Quadient (France) and SAS (United States). Analyst at AMA Research see North America and Europe Players to retain maximum share of Global Data Quality Software market by 2028. Considering Market by End Users, the sub-segment i.e. Data Analysts will boost the Data Quality Software market. Considering Market by Pricing Option, the sub-segment i.e. Free will boost the Data Quality Software market. Considering Market by Deployment, the sub-segment i.e. Cloud will boost the Data Quality Software market. Considering Market by Users, the sub-segment i.e. 1-100 will boost the Data Quality Software market.
Latest Market Insights:
In August 2019, Syncsort, the global leader in Big Iron to Big Data software acquired Pitney Bowes’ Software Solutions business. This acquisition combines best-in-class location intelligence, data enrichment, customer information management and engagement solutions with powerful data integration and optimization software capabitilites of Pitney solution with Syncsort portfolio.
In March 2019, Trifacta, a big data software developer company launched new data preparation software that expands the product's data quality management capabilities. The new Active Profiling and Smart Cleaning functionality in Trifacta's software are designed to make data quality assessment, remediation and monitoring "more intelligent and efficient.” and In June 2019, Syncsort, the global leader in Big Iron to Big Data software company, today unveiled Trillium DQ for Big Data, providing best-in-class data profiling and data quality capabilities in a single solution, designed to work natively with distributed architectures. Using this software, organizations can apply data quality to large volumes of enterprise data on-premises or in the cloud.
What Can be Explored with the Data Quality Software Market Study
Gain Market Understanding
Identify Growth Opportunities
Analyze and Measure the Global Data Quality Software Market by Identifying Investment across various Industry Verticals
Understand the Trends that will drive Future Changes in Data Quality Software
Understand the Competitive Scenario
- Track Right Markets
- Identify the Right Verticals
Research Methodology:
The top-down and bottom-up approaches are used to estimate and validate the size of the Global Data Quality Software market.
In order to reach an exhaustive list of functional and relevant players various industry classification standards are closely followed such as NAICS, ICB, SIC to penetrate deep in important geographies by players and a thorough validation test is conducted to reach most relevant players for survey in Data Quality Software market.
In order to make priority list sorting is done based on revenue generated based on latest reporting with the help of paid databases such as Factiva, Bloomberg etc.
Finally the questionnaire is set and specifically designed to address all the necessities for primary data collection after getting prior appointment by targeting key target audience that includes New Entrants/Investors, Analysts and Strategic Business Planners, Data Quality Software Providers, Venture Capitalists and Private Equity Firms, Government Regulatory and Research Organizations and End Users.
This helps us to gather the data related to players revenue, operating cycle and expense, profit along with product or service growth etc.
Almost 70-80% of data is collected through primary medium and further validation is done through various secondary sources that includes Regulators, World Bank, Association, Company Website, SEC filings, OTC BB, USPTO, EPO, Annual reports, press releases etc.