The Data Quality Tools Market in APAC (2019-2023): Leading Players are IBM, Informatica, Oracle, SAS Institute and Talend - ResearchAndMarkets.com

DUBLIN--(BUSINESS WIRE)--The "Data Quality Tools Market in APAC 2019-2023" report has been added to ResearchAndMarkets.com's offering.

The data quality tools market in APAC will register a CAGR of close to 23% by 2023.

The use of analytics enhancing the efficiency of data quality tools is expected to drive growth in the market

The current generation of data quality tools are being deployed in conjunction with visualization tools by enterprises. This is helping business users in identifying and performing a root cause analysis of data quality issues with help of interactive graphics.

Need to improve customer engagement

Data quality strategies of organizations are focused on enhancing customer satisfaction and performing accurate customer profiling to capitalize on market opportunities.

Lack of awareness and data quality roles within organizations

Many organizations do not measure the financial losses that arise due to poor data quality. Lack of such assessments or the awareness of it hinders the adoption of data quality tools.

Key Players

• IBM
• Informatica
• Oracle
• SAS Institute
• Talend

Topics Covered

PART 01: EXECUTIVE SUMMARY

PART 02: SCOPE OF THE REPORT

PART 03: MARKET LANDSCAPE

PART 04: MARKET SIZING

PART 05: FIVE FORCES ANALYSIS

PART 06: MARKET SEGMENTATION BY END-USER

• Market segmentation by end-user
• Comparison by end-user
• BFSI - Market size and forecast 2018-2023
• Telecommunication - Market size and forecast 2018-2023
• Retail - Market size and forecast 2018-2023
• Healthcare - Market size and forecast 2018-2023
• Others - Market size and forecast 2018-2023
• Market opportunity by end-user

PART 07: CUSTOMER LANDSCAPE

PART 08: GEOGRAPHIC LANDSCAPE

PART 09: MARKET SEGMENTATION BY DEPLOYMENT TYPE

• Market segmentation by deployment type
• Comparison by deployment type
• On-premises - Market size and forecast 2018-2023
• Cloud-based - Market size and forecast 2018-2023
• Market opportunity by deployment type

PART 10: DRIVERS AND CHALLENGES

PART 11: MARKET TRENDS

• ML algorithms augmenting data quality tool efficiency
• AI helps improve data quality
• Use of analytics enhancing the efficiency of data quality tools

PART 12: VENDOR LANDSCAPE

PART 13: VENDOR ANALYSIS

• Vendors covered
• Vendor classification
• Market positioning of vendors
• IBM
• Informatica
• Oracle
• SAS Institute
• Talend

For more information about this report visit https://www.researchandmarkets.com/research/qfs339/the_data_quality?w=4