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세계의 데이터 품질 분야 인공지능(AI) 시장 보고서(2025년)
Artificial Intelligence (AI) In Data Quality Global Market Report 2025
상품코드 : 1760042
리서치사 : The Business Research Company
발행일 : On Demand Report
페이지 정보 : 영문 175 Pages
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한글목차

데이터 품질 분야 인공지능(AI) 시장 규모는 향후 수년간 비약적인 성장이 예상될 예정입니다. 예측 기간에 있어서의 주요 동향으로는 데이터 합성에 있어서의 생성형 AI의 채용, 셀프 서비스형 데이터 품질 플랫폼으로의 변화, 마스터 데이터 관리에 있어서의 AI의 이용, AI와 데이터 패브릭 아키텍처의 융합, 데이터 품질 분야 설명 가능한 AI의 중시 등을 들 수 있습니다.

클라우드 컴퓨팅의 채용 확대로 데이터 품질 분야 인공지능(AI)의 확대는 향후 수년에 걸쳐 가속될 것으로 예측됩니다. 컴퓨팅 리소스를 제공하는 클라우드 기반 플랫폼으로의 마이그레이션이 포함되어 있습니다. 프로파일링, 클렌징, 검증 등의 프로세스를 자동화함으로써 클라우드 환경의 데이터 품질에 기여하고 실시간 의사결정에 필요한 데이터의 정확성과 무결성을 확보합니다. 예를 들어, 2023년 12월 유럽연합 통계청인 Eurostat는 EU 기업의 45.2%가 클라우드 컴퓨팅을 사용했으며, 주로 이메일, 파일 스토리지, 사무용 도구에 사용한다고 보고하여 2021년 대비 4.2% 포인트 증가했습니다.

데이터 품질 분야 인공지능(AI) 시장의 주요 기업은 데이터의 정확성과 업무 효율을 향상시키기 위해 생성형 AI의 통합에 주력하고 있습니다. 예를 들어, 2023년 9월, 미국에 본사를 둔 소프트웨어 회사인 Saama Technologies Inc.는 스마트 데이터 품질(SDQ) 플랫폼 내에 데이터 품질(DQ) 공동 파일럿을 출시했습니다. 이 혁신적인 기능은 생성형 AI를 활용하여 데이터 품질 검사를 자동화합니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 - 금리, 인플레이션, 지정학, 무역전쟁과 관세, 코로나 및 회복이 시장에 미치는 영향을 포함한 거시경제 시나리오

제5장 세계의 성장 분석과 전략 분석 프레임워크

제6장 시장 세분화

제7장 지역별/국가별 분석

제8장 아시아태평양 시장

제9장 중국 시장

제10장 인도 시장

제11장 일본 시장

제12장 호주 시장

제13장 인도네시아 시장

제14장 한국 시장

제15장 서유럽 시장

제16장 영국 시장

제17장 독일 시장

제18장 프랑스 시장

제19장 이탈리아 시장

제20장 스페인 시장

제21장 동유럽 시장

제22장 러시아 시장

제23장 북미 시장

제24장 미국 시장

제25장 캐나다 시장

제26장 남미 시장

제27장 브라질 시장

제28장 중동 시장

제29장 아프리카 시장

제30장 경쟁 구도와 기업 프로파일

제31장 기타 주요 기업 및 혁신 기업

제32장 세계 시장 경쟁 벤치마킹과 대시보드

제33장 주요 인수합병(M&A)

제34장 최근 시장 동향

제35장 시장의 잠재력이 높은 국가, 부문, 전략

제36장 부록

KTH
영문 목차

영문목차

Artificial intelligence (AI) in data quality involves using AI technologies to automate, improve, and sustain the accuracy, consistency, completeness, and dependability of data across various systems. AI-powered tools are capable of identifying and correcting errors, detecting anomalies, filling in missing information, removing duplicate entries, and ensuring that data aligns with established standards.

The key elements of AI in data quality are software and services. Software in this context consists of AI-based tools developed to streamline and enhance data quality operations such as cleansing, validation, and enrichment. These solutions assist organizations in preserving precise and trustworthy data, which is essential for informed decision-making and operational effectiveness. They are available in both cloud-based and on-premise formats, accommodating organizations of different sizes-from small and medium-sized enterprises to large corporations-and are utilized across a broad range of industries, including banking, financial services, and insurance (BFSI), information technology (IT) and telecommunications, healthcare, retail and e-commerce, manufacturing, government, and the public sector, among others.

The artificial intelligence (AI) in data quality market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in data quality market statistics, including the artificial intelligence (AI) in data quality industry's global market size, regional shares, competitors with an artificial intelligence (AI) in data quality market share, detailed artificial intelligence (AI) in data quality market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in data quality industry. This artificial intelligence (AI) in data quality market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The artificial intelligence (AI) in data quality market size has grown exponentially in recent years. It will grow from $1.19 billion in 2024 to $1.49 billion in 2025 at a compound annual growth rate (CAGR) of 25.4%. The growth during the historical period can be credited to the rapid increase of data within organizations, the rising need for business intelligence, the adoption of cloud-based data tools, early investments in artificial intelligence (AI) technologies, and the growing demand for data compliance.

The artificial intelligence (AI) in data quality market size is expected to see exponential growth in the next few years. It will grow to $3.65 billion in 2029 at a compound annual growth rate (CAGR) of 25.2%. The growth during the forecast period can be attributed to the increasing need for real-time data processing, integration with cloud-native platforms, demand for automated data quality tools, the expanding role of artificial intelligence (AI) in data governance, and the growing significance of predictive analytics. Key trends in the forecast period include the adoption of generative AI for data synthesis, a shift toward self-service data quality platforms, the use of AI in master data management, the convergence of AI with data fabric architecture, and a focus on explainable AI in data quality.

The growing adoption of cloud computing is expected to accelerate the expansion of artificial intelligence (AI) in the data quality market in the coming years. Cloud computing adoption involves transitioning from traditional on-premises IT infrastructure to cloud-based platforms, which offer scalable, cost-effective, and remotely accessible computing resources. This shift is largely fueled by digital transformation efforts across various industries and the need for more flexible and agile data management solutions. AI contributes to data quality in cloud environments by automating processes such as data profiling, cleansing, and validation, ensuring the accuracy and integrity of data for real-time decision-making. For example, in December 2023, Eurostat, the statistical office of the European Union, reported that 45.2% of EU enterprises used cloud computing, marking a 4.2-point increase from 2021, primarily for email, file storage, and office tools. As a result, the rise in cloud computing adoption is driving the growth of AI in the data quality market.

Leading companies in the artificial intelligence (AI) in data quality market are focusing on integrating generative AI to improve data accuracy and operational efficiency. Generative AI refers to AI systems that can create new content, such as text, images, videos, audio, or code, by learning patterns from existing data. For example, in September 2023, Saama Technologies Inc., a US-based software company, launched a Data Quality (DQ) Co Pilot within its Smart Data Quality (SDQ) platform. This innovative feature utilizes generative AI to automate data quality checks. By allowing users to simply describe the desired data validation, the tool automatically generates and tests the corresponding code, significantly reducing manual effort and speeding up clinical trial workflows.

In January 2024, QlikTech International AB, a US-based data integration and analytics company, acquired Kyndi for an undisclosed amount. This acquisition allows Qlik to enhance its artificial intelligence (AI) capabilities by integrating Kyndi's advanced natural language processing and AI-powered search technology into its platform. Kyndi, a US-based company, specializes in natural language processing and AI software that helps businesses extract actionable insights from unstructured data.

Major players in the artificial intelligence (ai) in data quality market are Alphabet Inc., Microsoft Corporation, Amazon Web Services, Accenture plc, International Business Machines Corporation (IBM), Oracle Corporation, SAP SE, Salesforce.com Inc., Experian plc., Collibra, Dataiku, Sas Institute Inc., Teradata, Informatica Inc., Snowflake Inc., Alteryx Inc., QlikTech International AB, Precisely Corporation, TIBCO Software Inc., Databricks Inc., and Ataccama Corporation.

North America was the largest region in the artificial intelligence (AI) in data quality market in 2024. The regions covered in artificial intelligence (AI) in data quality report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the artificial intelligence (AI) in data quality market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI) in data quality market includes revenues earned by entities by providing services such as automated data profiling, anomaly detection, data cleansing, error reduction, and continuous monitoring. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI) in data quality market also includes sales of graphics processing units (GPUs), central processing units (CPUs), and high-performance memory. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values and are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) In Data Quality Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) in data quality market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) in data quality ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (ai) in data quality market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) In Data Quality Market Characteristics

3. Artificial Intelligence (AI) In Data Quality Market Trends And Strategies

4. Artificial Intelligence (AI) In Data Quality Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) In Data Quality Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) In Data Quality Market Segmentation

7. Artificial Intelligence (AI) In Data Quality Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) In Data Quality Market

9. China Artificial Intelligence (AI) In Data Quality Market

10. India Artificial Intelligence (AI) In Data Quality Market

11. Japan Artificial Intelligence (AI) In Data Quality Market

12. Australia Artificial Intelligence (AI) In Data Quality Market

13. Indonesia Artificial Intelligence (AI) In Data Quality Market

14. South Korea Artificial Intelligence (AI) In Data Quality Market

15. Western Europe Artificial Intelligence (AI) In Data Quality Market

16. UK Artificial Intelligence (AI) In Data Quality Market

17. Germany Artificial Intelligence (AI) In Data Quality Market

18. France Artificial Intelligence (AI) In Data Quality Market

19. Italy Artificial Intelligence (AI) In Data Quality Market

20. Spain Artificial Intelligence (AI) In Data Quality Market

21. Eastern Europe Artificial Intelligence (AI) In Data Quality Market

22. Russia Artificial Intelligence (AI) In Data Quality Market

23. North America Artificial Intelligence (AI) In Data Quality Market

24. USA Artificial Intelligence (AI) In Data Quality Market

25. Canada Artificial Intelligence (AI) In Data Quality Market

26. South America Artificial Intelligence (AI) In Data Quality Market

27. Brazil Artificial Intelligence (AI) In Data Quality Market

28. Middle East Artificial Intelligence (AI) In Data Quality Market

29. Africa Artificial Intelligence (AI) In Data Quality Market

30. Artificial Intelligence (AI) In Data Quality Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) In Data Quality Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) In Data Quality Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) In Data Quality Market

34. Recent Developments In The Artificial Intelligence (AI) In Data Quality Market

35. Artificial Intelligence (AI) In Data Quality Market High Potential Countries, Segments and Strategies

36. Appendix

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