세계의 AI 생성 표 형식 합성 데이터세트 시장 보고서(2025년)
Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Global Market Report 2025
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한글목차

세계의 AI 생성 표 형식 합성 데이터세트 시장 규모는 최근 급격히 확대되고 있습니다. 2024년 13억 6,000만 달러에서 2025년에는 18억 8,000만 달러로, CAGR 37.9%로 성장이 전망되고 있습니다. 지난 몇 년간의 성장은 유럽 전역에서 일반 데이터 보호 규칙(GDPR(EU 개인정보보호규정)) 시행, 주요 경제 지역에서의 데이터 현지화 요건 확대, 개인정보 법률 위반에 대한 벌칙 강화, 제3자 리스크 관리 감사 증가, 기업 데이터 거버넌스 프로그램 확대로 인한 것입니다.

AI 생성 표 형식 합성 데이터세트 시장 규모는 향후 수년간 급성장할 것으로 전망됩니다. 2029년까지 67억 3,000만 달러에 이르고 CAGR은 37.6%가 될 전망입니다. 예측 기간 중 성장 요인으로는 데이터 출처와 동의에 관한 규제 감시 강화, 불법 데이터 처리 및 유지에 대한 벌칙의 인상, 관할 구역을 넘어서는 데이터 현지화 의무의 확대, 조달에 있어서의 책임 있는 데이터 거버넌스 중시의 고조, 의료 및 금융 서비스 분야에서의 컴플라이언스 감사 빈도 증가 등을 들 수 있습니다. 예측 기간의 주요 동향으로는 표 형식 데이터 합성에 대한 생성 적대 네트워크(GAN)의 통합, 구조화된 표 형식 데이터 생성에 확산 모델 채용, 합성 데이터 파이프라인에 차분 프라이버시 기구의 통합, 합성 데이터 생성과 조합한 연합 학습 워크플로우의 확대, 프라이버시 보호형 합성 데이터 검증에 동형 암호의 적용 등을 들 수 있습니다.

데이터 프라이버시, 보안, 컴플라이언스에 중점을 두는 것은 향후 수년간 AI 생성 표 형식 합성 데이터세트 시장의 성장을 가속할 것으로 예측됩니다. 데이터 프라이버시, 보안, 컴플라이언스는 기밀 정보 보호, 무단 액세스 방지, 법적 및 규제 요구 사항을 준수하기 위해 조직이 채택하는 실천, 정책 및 조치를 의미합니다. 이러한 분야에 대한 주목을 받고 있는 배경은 데이터 침해, 규제 벌칙, 평판 훼손 위험을 증가시켜 조직이 기밀 데이터 보호를 우선시할 수밖에 없습니다. AI 생성 표 형식 합성 데이터세트는 실제 정보를 공개하지 않고도 안전한 데이터 이용 및 분석을 가능하게 함으로써 프라이버시, 보안, 컴플라이언스 노력을 지원합니다. 예를 들어 GOV.UK에 따르면 2025년 4월 현재 과학기술 혁신부는 사이버보험에 가입하는 중소기업의 비율이 2024년 49%에서 62%에 달했다고 보고했습니다. 따라서 데이터 프라이버시, 보안, 컴플라이언스에 대한 주목이 높아지면서 AI 생성 표 형식 합성 데이터세트 시장의 성장을 가속하고 있습니다.

AI 생성 합성 테이블 형식 데이터 세트 시장에서 사업을 전개하는 주요 기업은 오픈소스 합성 데이터 SDK에 내장된 자기 회귀형 테이블 형식 생성 네트워크(ARGN) 등의 기술적 진보를 중시해, 고정밀도로 프라이버시가 보호된 테이블 형식 데이터를 대규모로 생성하고 있습니다. 자기 회귀형 테이블 형식 생성 네트워크(ARGN)는 테이블 형식의 열을 순차적으로 모델링하고 혼합 데이터 유형 간의 조건부 종속성을 학습하여 통계적으로 정확한 레코드를 합성하는 신경 접근법입니다. 차등 프라이버시, 공정성 제어, 조건부 생성, 신속한 교육 등의 옵션을 갖추고 있습니다. 예를 들어, 2025년 1월에는 오스트리아에 본사를 둔 합성 데이터 생성 기업 MOSTLY AI가 TabularARGN을 탑재한 MOSTLY Artificial Intelligence(AI) Synthetic Data SDK를 발표했습니다. 로컬 및 에어 갭 환경에서 실행 가능한 오픈소스 라이브러리를 포함하여 고품질의 합성 테이블 형식 데이터 세트를 생성합니다. 주요 기능에는 기존 기술 대비 최대 100배의 고속 훈련, 임베디드 차등 프라이버시(DP-SGD), 공정성 및 재조정 제어 및 유연한 배포가 포함됩니다. MOSTLY AI는 통합 품질 보증 지표와 복잡한 테이블 형식 스키마 지원을 갖춘 오픈소스 로컬 고속 합성 데이터 생성을 제공하여 견고한 평가와 안정적인 출력을 제공합니다. 이러한 혁신은 조건부 생성과 공정성 조정을 통해 높은 정확도로 프라이버시를 보호하는 합성 데이터를 제공하여 인공지능 및 머신러닝 개발 워크플로우를 강화합니다. 주요 목표는 분석, 테스트 및 모델 교육을 위해 통계적으로 정확한 합성 테이블 형식 데이터로 민감한 데이터 세트를 대체하거나 보완하여 안전한 데이터 액세스 및 공유를 실현하는 것입니다.

목차

제1장 주요 요약

제2장 시장 특징

제3장 시장 동향과 전략

제4장 시장 : 금리, 인플레이션, 지정학, 무역전쟁과 관세, 그리고 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

JHS
영문 목차

영문목차

An artificial intelligence (AI)-generated synthetic tabular dataset is a structured dataset created using artificial intelligence algorithms that mimic the statistical characteristics of real-world data. It allows organizations to train and test models without relying on sensitive or proprietary information. This approach enhances data privacy, scalability, and model performance in data-driven applications.

The primary components of an artificial intelligence (AI)-generated synthetic tabular dataset are software and services. Artificial intelligence (AI)-generated synthetic tabular dataset facilitates the creation and utilization of synthetic tabular datasets by providing engines for training generative models, tools for schema and constraint management, and evaluation utilities for privacy and quality, enabling secure experimentation, testing, and analysis without revealing sensitive records. The various data types include structured data and semi-structured data. These are deployed through different deployment modes such as cloud and on-premises and are used by various end-users such as enterprises, research institutes, government organizations, and others.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the information technology sector, particularly in hardware manufacturing, data infrastructure, and software deployment. Higher duties on imported semiconductors, circuit boards, and networking equipment have raised production and operational costs for tech firms, cloud service providers, and data centers. Companies relying on globally sourced components for laptops, servers, and consumer electronics are facing longer lead times and increased pricing pressures. In parallel, tariffs on specialized software tools and retaliatory measures from key international markets have disrupted global IT supply chains and reduced overseas demand for U.S.-developed technologies. To navigate these challenges, the sector is accelerating investments in domestic chip fabrication, diversifying supplier bases, and adopting AI-driven automation to enhance operational resilience and cost efficiency.

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

The artificial intelligence (AI)-generated synthetic tabular dataset market size has grown exponentially in recent years. It will grow from $1.36 billion in 2024 to $1.88 billion in 2025 at a compound annual growth rate (CAGR) of 37.9%. The growth during the historic period can be attributed to the enforcement of the General Data Protection Regulation across Europe, expansion of data localization requirements in major economies, higher penalties for noncompliance with privacy laws, escalation of third-party risk management audits, and growth in enterprise data governance programs.

The artificial intelligence (AI)-generated synthetic tabular dataset market size is expected to see exponential growth in the next few years. It will grow to $6.73 billion in 2029 at a compound annual growth rate (CAGR) of 37.6%. The growth during the forecast period can be attributed to increasing regulatory scrutiny on data provenance and consent, rising penalties for unlawful data processing and retention, growing data localization mandates across jurisdictions, increasing emphasis on responsible data governance in procurement, and rising frequency of compliance audits in healthcare and financial services. Key trends in the forecast period include integration of generative adversarial networks for tabular data synthesis, adoption of diffusion models for structured tabular data generation, incorporation of differential privacy mechanisms in synthetic data pipelines, expansion of federated learning workflows combined with synthetic data generation, and application of homomorphic encryption for privacy-preserving synthetic data validation.

The increasing emphasis on data privacy, security, and compliance is anticipated to drive the growth of the artificial intelligence (AI)-generated synthetic tabular dataset market in the coming years. Data privacy, security, and compliance refer to the practices, policies, and measures organizations adopt to protect sensitive information, prevent unauthorized access, and comply with legal and regulatory requirements. The growing focus on these areas is driven by heightened risks of data breaches, regulatory penalties, and reputational harm, prompting organizations to prioritize safeguarding sensitive data. Artificial intelligence (AI)-generated synthetic tabular datasets support privacy, security, and compliance efforts by allowing safe data use and analysis without exposing real information. For example, in April 2025, according to GOV.UK, the Department for Science, Innovation and Technology reported that the percentage of small businesses with cyber insurance reached 62%, up from 49% in 2024. Therefore, the increasing focus on data privacy, security, and compliance is fueling the growth of the AI-generated synthetic tabular dataset market.

Key companies operating in the artificial intelligence (AI)-generated synthetic tabular dataset market are emphasizing technological advancements such as auto-regressive tabular generative networks (ARGN) embedded in open-source synthetic data SDKs to produce high-fidelity, privacy-safe tabular data at scale. Auto-regressive tabular generative networks (ARGN) represent a neural approach that models tabular columns sequentially, learning conditional dependencies across mixed data types to synthesize statistically accurate records with options for differential privacy, fairness controls, conditional generation, and rapid training. For instance, in January 2025, MOSTLY AI, an Austria-based synthetic data generation company, introduced the MOSTLY Artificial Intelligence (AI) Synthetic Data SDK powered by TabularARGN, featuring open-source libraries designed to run locally or in air-gapped environments to generate high-quality synthetic tabular datasets. Key capabilities include up to 100X faster training than baseline methods, built-in differential privacy (DP-SGD), fairness and rebalancing controls, and flexible deployment. MOSTLY AI offers open-source, local-first synthetic data generation with integrated quality assurance metrics and support for complex tabular schemas, enabling robust evaluation and trustworthy outputs. These innovations provide high-fidelity, privacy-preserving synthetic data with conditional generation and fairness adjustments that enhance artificial intelligence and machine learning development workflows. The main objective is to enable safe data access and sharing by replacing or supplementing sensitive datasets with statistically accurate synthetic tabular data for analytics, testing, and model training.

In March 2025, NVIDIA Corporation, a US-based provider of graphics processing units, artificial intelligence computing platforms, and cloud-based developer solutions, acquired Gretel Labs, Inc. for an undisclosed amount. Through this acquisition, NVIDIA aims to integrate Gretel's privacy-preserving synthetic data technology into its developer and cloud ecosystems to help teams generate realistic, high-quality tabular, time-series, and text datasets for training and testing artificial intelligence models. The acquisition also seeks to accelerate the development of large language models and other applications while enhancing governance, confidentiality, and responsible data reuse at the enterprise level. Gretel Labs, Inc. is a US-based provider of synthetic data generation application programming interfaces and data privacy tools supporting multi-modal synthesis, including advanced models for tabular data.

Major players in the artificial intelligence (ai)-generated synthetic tabular dataset market are International Business Machines Corporation, DataRobot, K2View, Anonos, Tonic.ai, Rockfish Data, DataGen, Syndata AB, MDClone, Facteus, Aindo, Mostly AI, YData, Syntho, Betterdata , GenRocket, DataCebo, Betterdata, Facteus (MIMIC), FinCrime Dynamics.

North America was the largest region in the artificial intelligence (AI)-generated synthetic tabular dataset market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

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

The artificial intelligence (AI)-generated synthetic tabular dataset market consists of revenues earned by entities by providing services such as on-demand synthetic tabular dataset generation, privacy-preserving data anonymization and risk assessment for synthesis, data augmentation and class rebalancing, synthetic data quality validation and bias or drift testing, and managed delivery pipelines and application programming interface integrations for synthetic data. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence (AI)-generated synthetic tabular dataset market also includes sales of synthetic data generation software platforms for tabular data, prebuilt domain-specific synthetic tabular dataset packs, generative model libraries for tabular data, data constraint and schema management tools, and synthetic data quality and privacy evaluation toolkits. 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 that 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)-Generated Synthetic Tabular Dataset 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)-generated synthetic tabular dataset 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)-generated synthetic tabular dataset ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai)-generated synthetic tabular dataset 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market Characteristics

3. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market Trends And Strategies

4. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset 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)-Generated Synthetic Tabular Dataset Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market Segmentation

7. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

9. China Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

10. India Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

11. Japan Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

12. Australia Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

13. Indonesia Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

14. South Korea Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

15. Western Europe Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

16. UK Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

17. Germany Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

18. France Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

19. Italy Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

20. Spain Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

21. Eastern Europe Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

22. Russia Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

23. North America Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

24. USA Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

25. Canada Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

26. South America Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

27. Brazil Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

28. Middle East Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

29. Africa Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

30. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

34. Recent Developments In The Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market

35. Artificial Intelligence (AI)-Generated Synthetic Tabular Dataset Market High Potential Countries, Segments and Strategies

36. Appendix

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