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商品編碼
1613949

數據品質工具市場 - 按組件、部署、應用程式、地區和競爭細分的全球行業規模、佔有率、趨勢、機會和預測，2019-2029F

Data Quality Tools Market - Global Industry Size, Share, Trends, Opportunity, and Forecast Segmented By Component, By Deployment, By Application, By Region & Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 186 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年全球數據品質工具市值為19.8億美元，預計2029年將達到36.3億美元，預測期間內複合年成長率為10.48%。全球資料品質工具市場受到資料量和複雜性激增的推動，這需要先進的解決方案來實現準確的資料管理。 GDPR 和 CCPA 等嚴格的監管要求迫使組織確保資料準確性和合規性。向數據驅動決策和高級分析的轉變凸顯了對高品質資料支援有效洞察的需求。此外，雲端採用的興起和資料整合挑戰刺激了對強大資料品質工具的需求。隨著企業尋求可靠的工具來有效管理和利用其資料，對客戶體驗和技術進步（包括人工智慧和機器學習）的更加關注將進一步推動市場發展。

市場概況
預測期 2025-2029
2023 年市場規模 19.8億美元
2029 年市場規模 36.3億美元
2024-2029 年複合年成長率 10.48%
成長最快的細分市場 軟體
最大的市場 北美洲

主要市場促進因素

不斷成長的數據量和複雜性

監理合規性和資料治理

主要市場挑戰

實施成本高且複雜

資料隱私和安全問題

主要市場趨勢

人工智慧與機器學習的融合

細分市場洞察

應用洞察

區域洞察

目錄

第 1 章：產品概述

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：COVID-19 對全球資料品質工具市場的影響

第 5 章：客戶之聲

第 6 章：全球數據品質工具市場概述

第 7 章：全球資料品質工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件（軟體、服務）
    • 按部署（雲端、本機）
    • 按應用（BFSI、醫療保健、製造、電信和 IT、零售和電子商務、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2023)
  • 市場地圖

第 8 章：北美數據品質工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按申請
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 9 章：歐洲數據品質工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按申請
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時

第 10 章：南美洲數據品質工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按申請
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷
    • 智利

第 11 章：中東和非洲資料品質工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按申請
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
    • 土耳其

第 12 章：亞太地區資料品質工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按組件
    • 按部署
    • 按申請
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲
    • 泰國
    • 馬來西亞

第 13 章：市場動態

  • 促進要素
  • 挑戰

第 14 章：市場趨勢與發展

第 15 章：公司簡介

  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Informatica LLC
  • QlikTech International AB
  • Experian Information Solutions, Inc.
  • Cloud Software Group, Inc.
  • Pitney Bowes Inc.

第 16 章：策略建議

第17章調查會社について,免責事項

簡介目錄
Product Code: 24955

Global Data Quality Tools Market was valued at USD 1.98 billion in 2023 and is expected to reach USD 3.63 billion by 2029 with a CAGR of 10.48% during the forecast period. The global data quality tools market is driven by the surge in data volume and complexity, which necessitates advanced solutions for accurate data management. Stringent regulatory requirements like GDPR and CCPA compel organizations to ensure data accuracy and compliance. The shift towards data-driven decision-making and advanced analytics highlights the need for high-quality data to support effective insights. Additionally, the rise of cloud adoption and data integration challenges fuels demand for robust data quality tools. Enhanced focus on customer experiences and technological advancements, including AI and machine learning, further propel the market, as businesses seek reliable tools to manage and utilize their data efficiently.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 1.98 Billion
Market Size 2029USD 3.63 Billion
CAGR 2024-202910.48%
Fastest Growing SegmentSoftware
Largest MarketNorth America

Key Market Drivers

Growing Data Volume and Complexity

The unprecedented growth in data volume and complexity is a major driver of the global data quality tools market. With the advent of digital transformation, organizations are generating and accumulating vast amounts of data from diverse sources such as social media, IoT devices, customer interactions, and business transactions. This explosion in data has led to a need for sophisticated tools to ensure data accuracy, consistency, and reliability. Data quality tools are essential for managing structured, semi-structured, and unstructured data, which often come in various formats and from disparate systems. These tools help in cleansing, validating, and enriching data, ensuring that organizations can leverage it effectively for decision-making, analytics, and reporting. In 2023, global data volume surged to approximately 120 zettabytes, marking a significant rise compared to previous years, with enterprise data comprising a substantial portion of this growth.

Moreover, the complexity of data environments has increased as organizations adopt multi-cloud and hybrid cloud strategies. Integrating data from various sources and platforms adds layers of complexity to data management. Data quality tools provide essential functions such as data profiling, data matching, and data integration, helping to address issues like data duplication, inconsistency, and incomplete data. By ensuring high data quality, these tools support accurate business intelligence and analytics, which are critical for gaining insights and maintaining a competitive edge. As data continues to grow in volume and complexity, the demand for data quality tools will likely increase, driven by the need to maintain data integrity and support effective data utilization.

Regulatory Compliance and Data Governance

Regulatory compliance and data governance are significant drivers for the global data quality tools market. As data privacy laws such as the General Data Protection Regulation (GDPR), California Consumer Privacy Act (CCPA), and Health Insurance Portability and Accountability Act (HIPAA) become more stringent, organizations are compelled to adopt robust data quality measures. These regulations mandate that companies maintain accurate, complete, and up-to-date data while ensuring that personal and sensitive information is protected. Data quality tools play a crucial role in helping organizations comply with these regulations by providing capabilities such as data auditing, data lineage tracking, and automated compliance reporting.

Effective data governance frameworks require organizations to implement policies and procedures for managing data quality, security, and privacy. Data quality tools facilitate these governance practices by enabling organizations to monitor data quality continuously, enforce data standards, and ensure adherence to compliance requirements. They also assist in identifying and rectifying data issues that could lead to non-compliance, thus reducing the risk of legal penalties and reputational damage. As regulatory environments evolve and data protection requirements become more stringent, the adoption of data quality tools will continue to rise, driven by the need to maintain compliance and manage data governance effectively.

Key Market Challenges

High Costs and Complexity of Implementation

One of the key challenges in the global data quality tools market is the high cost and complexity associated with implementing these solutions. Data quality tools often require significant investment in both software and hardware infrastructure. The initial costs can be substantial, particularly for advanced solutions that offer comprehensive functionalities such as real-time data cleansing, enrichment, and integration. For small to medium-sized enterprises (SMEs), the financial burden of purchasing and maintaining such tools can be a major barrier. Additionally, the costs associated with training personnel to effectively use and manage these tools can further strain budgets.

The complexity of implementing data quality tools also poses a challenge. Integrating these tools into existing data ecosystems can be a complex process, requiring extensive customization to align with specific organizational needs and data environments. This complexity can lead to extended implementation timelines and potential disruptions to ongoing operations. Organizations may need to invest in consulting services or specialized expertise to ensure a smooth integration process, adding to the overall cost. Furthermore, the ongoing maintenance and upgrades required to keep the tools functioning optimally can contribute to the total cost of ownership. These factors collectively make the adoption of data quality tools a challenging endeavor for many organizations, especially those with limited resources or less technical expertise.

Data Privacy and Security Concerns

Data privacy and security concerns represent a significant challenge in the global data quality tools market. As data quality tools often involve the processing and storage of sensitive and personal information, ensuring the security of this data is paramount. Organizations must be cautious about data breaches and unauthorized access, as these can lead to severe legal and financial consequences, including penalties for non-compliance with data protection regulations. Data quality tools must comply with stringent data privacy laws and regulations, which can vary across regions and industries, adding complexity to their deployment and management.

Additionally, integrating data quality tools with existing systems requires careful consideration of data security protocols. The process of data cleansing, enrichment, and integration can potentially expose sensitive information if not handled properly. Organizations must ensure that data quality tools have robust security features, such as encryption and access controls, to protect against data breaches and unauthorized access. They also need to implement comprehensive data governance policies to manage data quality while safeguarding privacy. Balancing the need for effective data management with stringent security and privacy requirements can be challenging, and failing to address these concerns adequately can undermine the effectiveness of data quality initiatives and expose organizations to significant risks.

Key Market Trends

Integration of Artificial Intelligence and Machine Learning

A prominent trend in the global data quality tools market is the increasing integration of artificial intelligence (AI) and machine learning (ML) technologies. These advanced technologies are revolutionizing data quality management by enhancing the automation and accuracy of data processing tasks. AI and ML algorithms can identify patterns and anomalies in data more effectively than traditional methods, allowing for more precise data cleansing, validation, and enrichment. For instance, machine learning models can automatically detect and correct data errors, such as inconsistencies or duplications, based on learned patterns and historical data.

AI-driven data quality tools are also improving data profiling and data matching capabilities. They can analyze large volumes of data to uncover hidden insights, relationships, and inconsistencies that might not be apparent through manual processes. Additionally, AI technologies enable predictive data quality management, where tools can forecast potential data issues before they arise and suggest proactive measures to address them. This trend towards AI and ML integration is making data quality tools more efficient, scalable, and adaptive to evolving data landscapes. Organizations are increasingly adopting these advanced tools to stay competitive and leverage their data assets more effectively, driving significant growth in the market. 50% of organizations globally have adopted AI in at least one business function, with 70% of companies in advanced economies deploying AI and ML solutions across core areas like customer service, marketing, and operations.

Segmental Insights

Application Insights

The BFSI segment has emerged as the dominating segment in the global Data Quality Tools market in 2023. The BFSI (Banking, Financial Services, and Insurance) segment has emerged as the dominating segment in the global Data Quality Tools market due to its critical reliance on accurate and reliable data for operations and compliance. Financial institutions handle vast amounts of sensitive data daily, including customer information, transaction records, and regulatory reports. Ensuring the integrity and accuracy of this data is essential for effective risk management, fraud detection, and compliance with stringent financial regulations.

Data quality tools are crucial for BFSI organizations to maintain data consistency, improve decision-making, and adhere to regulatory standards such as GDPR and Basel III. These tools help in data cleansing, validation, and enrichment, ensuring that financial data is accurate and up to date. Additionally, with the increasing adoption of digital banking, big data analytics, and AI-driven financial services, the demand for robust data quality solutions has intensified.

The BFSI sector's focus on enhancing customer experience, operational efficiency, and regulatory compliance further drives the need for advanced data quality tools. As financial institutions strive to leverage data for strategic insights and operational excellence, the segment's dominance in the market is reinforced by its substantial investment in data quality management and technology adoption. This trend underscores the pivotal role of data quality tools in supporting the complex and highly regulated environment of the BFSI industry.

Regional Insights

North America has emerged as the dominating region in the global Data Quality Tools market in 2023. North America has emerged as the dominating region in the global Data Quality Tools market due to its advanced technological infrastructure and high levels of investment in data management solutions. The region is home to a large number of leading technology companies, including major cloud service providers and data analytics firms, which drives significant demand for robust data quality tools. The United States, in particular, leads the market with its extensive network of data centers, sophisticated IT systems, and a strong emphasis on data-driven decision-making. This concentration of technology and data management expertise fosters an environment conducive to the growth of data quality solutions.

North America benefits from a well-established regulatory environment that mandates stringent data protection and privacy standards. Regulations such as the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) require organizations to implement effective data quality measures to ensure compliance, thereby boosting demand for data quality tools. The region's focus on innovation and technological advancements also propels market growth, as businesses adopt cutting-edge solutions to handle the increasing volume and complexity of data. Additionally, North America's strong economic foundation and the presence of a skilled workforce contribute to the rapid development and deployment of data quality technologies. The combination of these factors-technological leadership, regulatory pressure, and a focus on innovation-solidifies North America's position as the dominant region in the global Data Quality Tools market, leading in both adoption and market development.

Key Market Players

  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Informatica LLC
  • QlikTech International A.B.
  • Experian Information Solutions, Inc.
  • Cloud Software Group, Inc.
  • Pitney Bowes Inc.

Report Scope:

In this report, the Global Data Quality Tools Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Data Quality Tools Market, By Component:

  • Software
  • Services

Data Quality Tools Market, By Deployment:

  • Cloud
  • On-premise

Data Quality Tools Market, By Application:

  • BFSI
  • Healthcare
  • Manufacturing
  • Telecom & IT
  • Retail & E-commerce
  • Others

Data Quality Tools Market, By Region:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • France
    • United Kingdom
    • Italy
    • Germany
    • Spain
    • Netherlands
    • Belgium
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Thailand
    • Malaysia
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
  • Middle East & Africa
    • South Africa
    • Saudi Arabia
    • UAE
    • Turkey

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Data Quality Tools Market.

Available Customizations:

Global Data Quality Tools Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

  • Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1.Markets Covered
    • 1.2.2.Years Considered for Study
    • 1.2.3.Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Formulation of the Scope
  • 2.4. Assumptions and Limitations
  • 2.5. Sources of Research
    • 2.5.1.Secondary Research
    • 2.5.2.Primary Research
  • 2.6. Approach for the Market Study
    • 2.6.1.The Bottom-Up Approach
    • 2.6.2.The Top-Down Approach
  • 2.7. Methodology Followed for Calculation of Market Size & Market Shares
  • 2.8. Forecasting Methodology
    • 2.8.1.Data Triangulation & Validation

3. Executive Summary

4. Impact of COVID-19 on Global Data Quality Tools Market

5. Voice of Customer

6. Global Data Quality Tools Market Overview

7. Global Data Quality Tools Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1.By Value
  • 7.2. Market Share & Forecast
    • 7.2.1.By Component (Software, Services)
    • 7.2.2.By Deployment (Cloud, On-premise)
    • 7.2.3.By Application (BFSI, Healthcare, Manufacturing, Telecom & IT, Retail & E-commerce, Others)
    • 7.2.4.By Region (North America, Europe, South America, Middle East & Africa, Asia-Pacific)
  • 7.3. By Company (2023)
  • 7.4. Market Map

8. North America Data Quality Tools Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1.By Value
  • 8.2. Market Share & Forecast
    • 8.2.1.By Component
    • 8.2.2.By Deployment
    • 8.2.3.By Application
    • 8.2.4.By Country
  • 8.3. North America: Country Analysis
    • 8.3.1.United States Data Quality Tools Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment
        • 8.3.1.2.3. By Application
    • 8.3.2.Canada Data Quality Tools Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment
        • 8.3.2.2.3. By Application
    • 8.3.3.Mexico Data Quality Tools Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment
        • 8.3.3.2.3. By Application

9. Europe Data Quality Tools Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1.By Value
  • 9.2. Market Share & Forecast
    • 9.2.1.By Component
    • 9.2.2.By Deployment
    • 9.2.3.By Application
    • 9.2.4.By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1.Germany Data Quality Tools Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment
        • 9.3.1.2.3. By Application
    • 9.3.2.France Data Quality Tools Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment
        • 9.3.2.2.3. By Application
    • 9.3.3.United Kingdom Data Quality Tools Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment
        • 9.3.3.2.3. By Application
    • 9.3.4.Italy Data Quality Tools Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Component
        • 9.3.4.2.2. By Deployment
        • 9.3.4.2.3. By Application
    • 9.3.5.Spain Data Quality Tools Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Component
        • 9.3.5.2.2. By Deployment
        • 9.3.5.2.3. By Application
    • 9.3.6.Netherlands Data Quality Tools Market Outlook
      • 9.3.6.1. Market Size & Forecast
        • 9.3.6.1.1. By Value
      • 9.3.6.2. Market Share & Forecast
        • 9.3.6.2.1. By Component
        • 9.3.6.2.2. By Deployment
        • 9.3.6.2.3. By Application
    • 9.3.7.Belgium Data Quality Tools Market Outlook
      • 9.3.7.1. Market Size & Forecast
        • 9.3.7.1.1. By Value
      • 9.3.7.2. Market Share & Forecast
        • 9.3.7.2.1. By Component
        • 9.3.7.2.2. By Deployment
        • 9.3.7.2.3. By Application

10. South America Data Quality Tools Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment
    • 10.2.3. By Application
    • 10.2.4.By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Data Quality Tools Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment
        • 10.3.1.2.3. By Application
    • 10.3.2. Colombia Data Quality Tools Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment
        • 10.3.2.2.3. By Application
    • 10.3.3. Argentina Data Quality Tools Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment
        • 10.3.3.2.3. By Application
    • 10.3.4. Chile Data Quality Tools Market Outlook
      • 10.3.4.1. Market Size & Forecast
        • 10.3.4.1.1. By Value
      • 10.3.4.2. Market Share & Forecast
        • 10.3.4.2.1. By Component
        • 10.3.4.2.2. By Deployment
        • 10.3.4.2.3. By Application

11. Middle East & Africa Data Quality Tools Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Deployment
    • 11.2.3. By Application
    • 11.2.4. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia Data Quality Tools Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Deployment
        • 11.3.1.2.3. By Application
    • 11.3.2. UAE Data Quality Tools Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Deployment
        • 11.3.2.2.3. By Application
    • 11.3.3. South Africa Data Quality Tools Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Deployment
        • 11.3.3.2.3. By Application
    • 11.3.4. Turkey Data Quality Tools Market Outlook
      • 11.3.4.1. Market Size & Forecast
        • 11.3.4.1.1. By Value
      • 11.3.4.2. Market Share & Forecast
        • 11.3.4.2.1. By Component
        • 11.3.4.2.2. By Deployment
        • 11.3.4.2.3. By Application

12. Asia-Pacific Data Quality Tools Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Share & Forecast
    • 12.2.1. By Component
    • 12.2.2. By Deployment
    • 12.2.3. By Application
    • 12.2.4. By Country
  • 12.3. Asia-Pacific: Country Analysis
    • 12.3.1. China Data Quality Tools Market Outlook
      • 12.3.1.1. Market Size & Forecast
        • 12.3.1.1.1. By Value
      • 12.3.1.2. Market Share & Forecast
        • 12.3.1.2.1. By Component
        • 12.3.1.2.2. By Deployment
        • 12.3.1.2.3. By Application
    • 12.3.2. India Data Quality Tools Market Outlook
      • 12.3.2.1. Market Size & Forecast
        • 12.3.2.1.1. By Value
      • 12.3.2.2. Market Share & Forecast
        • 12.3.2.2.1. By Component
        • 12.3.2.2.2. By Deployment
        • 12.3.2.2.3. By Application
    • 12.3.3. Japan Data Quality Tools Market Outlook
      • 12.3.3.1. Market Size & Forecast
        • 12.3.3.1.1. By Value
      • 12.3.3.2. Market Share & Forecast
        • 12.3.3.2.1. By Component
        • 12.3.3.2.2. By Deployment
        • 12.3.3.2.3. By Application
    • 12.3.4. South Korea Data Quality Tools Market Outlook
      • 12.3.4.1. Market Size & Forecast
        • 12.3.4.1.1. By Value
      • 12.3.4.2. Market Share & Forecast
        • 12.3.4.2.1. By Component
        • 12.3.4.2.2. By Deployment
        • 12.3.4.2.3. By Application
    • 12.3.5. Australia Data Quality Tools Market Outlook
      • 12.3.5.1. Market Size & Forecast
        • 12.3.5.1.1. By Value
      • 12.3.5.2. Market Share & Forecast
        • 12.3.5.2.1. By Component
        • 12.3.5.2.2. By Deployment
        • 12.3.5.2.3. By Application
    • 12.3.6. Thailand Data Quality Tools Market Outlook
      • 12.3.6.1. Market Size & Forecast
        • 12.3.6.1.1. By Value
      • 12.3.6.2. Market Share & Forecast
        • 12.3.6.2.1. By Component
        • 12.3.6.2.2. By Deployment
        • 12.3.6.2.3. By Application
    • 12.3.7. Malaysia Data Quality Tools Market Outlook
      • 12.3.7.1. Market Size & Forecast
        • 12.3.7.1.1. By Value
      • 12.3.7.2. Market Share & Forecast
        • 12.3.7.2.1. By Component
        • 12.3.7.2.2. By Deployment
        • 12.3.7.2.3. By Application

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. IBM Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel/Key Contact Person
    • 15.1.5. Key Product/Services Offered
  • 15.2. Oracle Corporation
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel/Key Contact Person
    • 15.2.5. Key Product/Services Offered
  • 15.3. SAP SE
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel/Key Contact Person
    • 15.3.5. Key Product/Services Offered
  • 15.4. Informatica LLC
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel/Key Contact Person
    • 15.4.5. Key Product/Services Offered
  • 15.5. QlikTech International A.B.
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel/Key Contact Person
    • 15.5.5. Key Product/Services Offered
  • 15.6. Experian Information Solutions, Inc.
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel/Key Contact Person
    • 15.6.5. Key Product/Services Offered
  • 15.7. Cloud Software Group, Inc.
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel/Key Contact Person
    • 15.7.5. Key Product/Services Offered
  • 15.8. Pitney Bowes Inc.
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel/Key Contact Person
    • 15.8.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer