合成資料產生市場規模、佔有率和成長分析（按資料類型、建模類型、產品、應用、最終用途和地區）- 產業預測 2025-2032

預計到 2023 年合成資料產生市場規模將達到 3.6176 億美元，並從 2024 年的 4.9706 億美元成長到 2032 年的 63.1395 億美元，預測期內（2025-2032 年）的複合年成長率為 37.4%。

全球合成資料生成市場正在經歷顯著成長，這主要得益於多樣化的工業應用，主要是在自動駕駛汽車、醫療保健和金融領域。日益成長的安全性和合規性問題促使組織利用合成資料，使他們能夠在不洩露敏感資訊的情況下創建基本資料。先進的人工智慧技術能夠產生複雜的合成資料集，準確模擬現實世界的行為。專注於高品質的準備資料可以提高合成資料的效用並增強穩健 AI 模型的開發。隨著企業意識到人工智慧主導的合成資料的好處，與雲端平台的整合提供了靈活性和無縫的工作流程整合。這一趨勢與整個行業向雲端解決方案的轉變相吻合，促進了跨學科使用合成資料的更大協作和互通性。

目錄

介紹

• 調查目的
• 研究範圍
• 定義

調查方法

• 資訊採購
• 次要和主要資料方法
• 市場規模預測
• 市場假設與限制

執行摘要

• 全球市場展望
• 供需趨勢分析
• 細分機會分析

市場動態及展望

• 市場概況
• 市場規模
• 市場動態
  • 促進因素和機會
  • 限制與挑戰
• 波特的分析

主要市場考察

• 關鍵成功因素
• 競爭程度
• 主要投資機會
• 市場生態系統
• 市場吸引力指數（2024 年）
• PESTEL 分析
• 宏觀經濟指標
• 價值鏈分析
• 定價分析
• 案例研究
• 專利分析
• 技術分析

依照資料類型分類的合成資料產生市場規模

• 市場概況
• 表格形式資料
• 文字資料
• 影像和影片資料
• 其他

按建模類型分類的合成資料生成市場規模

• 市場概況
• 直接建模
• 基於代理的建模

合成資料生成市場規模（依產品分類）

• 市場概況
• 軟體
• 服務

合成資料生成市場規模（按應用分類）

• 市場概況
• 人工智慧訓練
• 預測分析
• 資料保隱
• 詐欺偵測
• 自動駕駛汽車
• 衛生保健

合成資料生成市場規模（依最終用途分類）

• 市場概況
• BFSI（銀行、金融服務、保險）
• 衛生保健
• 車
• 零售
• 資訊科技和通訊
• 政府

合成資料生成市場規模

• 北美洲
  • 美國
  • 加拿大
• 歐洲
  • 德國
  • 西班牙
  • 法國
  • 英國
  • 義大利
  • 其他歐洲國家地區
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 其他亞太地區
• 拉丁美洲
  • 巴西
  • 其他拉丁美洲國家
• 中東和非洲
  • 海灣合作理事會國家
  • 南非
  • 其他中東和非洲地區

競爭資訊

• 前 5 家公司對比
• 主要企業市場定位（2024年）
• 主要市場參與者所採用的策略
• 近期市場趨勢
• 公司市場佔有率分析（2024 年）
• 主要企業簡介
  • 公司詳細資訊
  • 產品系列分析
  • 公司分部佔有率分析
  • 收益與前一年同期比較對比（2022-2024 年）

主要企業簡介

• NVIDIA Corporation（USA）
• IBM Corporation（USA）
• Microsoft Corporation（USA）
• Google LLC（USA）
• Amazon Web Services（AWS）（USA）
• Synthetic Data, Inc.（USA）
• Hazy（UK）
• Synthesis AI（USA）
• TruEra（USA）
• Gretel.ai（USA）
• Zeta Alpha（Netherlands）
• DataGen（Israel）
• Mostly AI（Austria）
• Tonic.ai（USA）
• Aurora（USA）
• Mindtech Global（UK）
• Parallel Domain（USA）
• AI.Reverie（USA）
• Anyverse（Spain）
• Cognata（Israel）

結論和建議

Synthetic Data Generation Market size was valued at USD 361.76 million in 2023 and is poised to grow from USD 497.06 million in 2024 to USD 6313.95 million by 2032, growing at a CAGR of 37.4% during the forecast period (2025-2032).

The global synthetic data generation market is experiencing significant growth, spurred by diverse industry applications, particularly in autonomous vehicles, healthcare, and finance. Rising concerns over security and compliance are driving organizations to leverage synthetic data, enabling the creation of essential datasets without compromising sensitive information. Advanced AI techniques allow for the generation of complex synthetic datasets that accurately mimic real-world behaviors. The emphasis on high-quality preparatory data enhances synthetic data's utility and fortifies the development of robust AI models. As organizations increasingly recognize the benefits of AI-driven synthetic data, the integration with cloud platforms offers flexibility and seamless workflow incorporation. This trend aligns with a broader industry shift toward cloud solutions, facilitating collaboration and interoperability in synthetic data usage across various sectors.

Top-down and bottom-up approaches were used to estimate and validate the size of the Synthetic Data Generation market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.

Synthetic Data Generation Market Segments Analysis

Global Synthetic Data Generation Market is segmented by Data Type, Modeling Type, Offering, Application, End Use and region. Based on Data Type, the market is segmented into Tabular Data, Text Data, Image & Video Data and Others. Based on Modeling Type, the market is segmented into Direct Modeling and Agent-Based Modeling. Based on Offering, the market is segmented into Software and Services. Based on Application, the market is segmented into AI Training, Predictive Analytics, Data Privacy, Fraud Detection, Autonomous Vehicles and Healthcare. Based on End Use, the market is segmented into BFSI (Banking, Financial Services, and Insurance), Healthcare, Automotive, Retail, IT & Telecom and Government. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Synthetic Data Generation Market

A key catalyst for the growth of the global synthetic data generation market is the escalating concern surrounding data privacy and protection. As regulations like the General Data Protection Regulation (GDPR) become more prevalent, organizations are increasingly turning to synthetic data to train their AI models. This approach allows them to safeguard individual and sensitive information while adhering to regulatory requirements. Moreover, it addresses privacy challenges by generating high-quality data that mimics real datasets, thus enabling companies to innovate and develop their technologies without the risk of violating data protection laws. Consequently, the demand for synthetic data solutions continues to rise.

Restraints in the Synthetic Data Generation Market

A key challenge in the Synthetic Data Generation market is maintaining the accuracy and quality of the produced data. Although it's feasible to generate synthetic datasets that mimic the original, discrepancies in data representation or inherent biases can adversely impact model training. Consequently, these synthetic datasets must undergo rigorous validation and testing processes to ensure their reliability, adding complexity to the generation process. This heightened scrutiny may lead to trust issues within the market, potentially acting as a barrier to broader adoption. Therefore, the need for comprehensive validation mechanisms is critical for fostering confidence in synthetic data technologies.

Market Trends of the Synthetic Data Generation Market

The Synthetic Data Generation market is witnessing a significant trend towards the increased adoption of AI-driven solutions, as organizations across various sectors, including healthcare, finance, and automotive, seek cost-effective and scalable ways to generate diverse datasets. By leveraging machine learning algorithms, companies can enhance the accuracy of their predictive models while minimizing the burden of traditional data generation methods. Additionally, synthetic data alleviates privacy concerns associated with utilizing real-world data, making it an attractive option for firms looking to innovate responsibly. This trend signifies a transformative shift in data management strategies, positioning synthetic data as an essential component of modern data-driven enterprises.

Table of Contents

Introduction

• Objectives of the Study
• Scope of the Report
• Definitions

Research Methodology

• Information Procurement
• Secondary & Primary Data Methods
• Market Size Estimation
• Market Assumptions & Limitations

Executive Summary

• Global Market Outlook
• Supply & Demand Trend Analysis
• Segmental Opportunity Analysis

Market Dynamics & Outlook

• Market Overview
• Market Size
• Market Dynamics
  • Drivers & Opportunities
  • Restraints & Challenges
• Porters Analysis
  • Competitive rivalry
  • Threat of substitute
  • Bargaining power of buyers
  • Threat of new entrants
  • Bargaining power of suppliers

Key Market Insights

• Key Success Factors
• Degree of Competition
• Top Investment Pockets
• Market Ecosystem
• Market Attractiveness Index, 2024
• PESTEL Analysis
• Macro-Economic Indicators
• Value Chain Analysis
• Pricing Analysis
• Case Studies
• Patent Analysis
• Technology Analysis

Global Synthetic Data Generation Market Size by Data Type & CAGR (2025-2032)

• Market Overview
• Tabular Data
• Text Data
• Image & Video Data
• Others

Global Synthetic Data Generation Market Size by Modeling Type & CAGR (2025-2032)

• Market Overview
• Direct Modeling
• Agent-Based Modeling

Global Synthetic Data Generation Market Size by Offering & CAGR (2025-2032)

• Market Overview
• Software
• Services

Global Synthetic Data Generation Market Size by Application & CAGR (2025-2032)

• Market Overview
• AI Training
• Predictive Analytics
• Data Privacy
• Fraud Detection
• Autonomous Vehicles
• Healthcare

Global Synthetic Data Generation Market Size by End Use & CAGR (2025-2032)

• Market Overview
• BFSI (Banking, Financial Services, and Insurance)
• Healthcare
• Automotive
• Retail
• IT & Telecom
• Government

Global Synthetic Data Generation Market Size & CAGR (2025-2032)

• North America (Data Type, Modeling Type, Offering, Application, End Use)
  • US
  • Canada
• Europe (Data Type, Modeling Type, Offering, Application, End Use)
  • Germany
  • Spain
  • France
  • UK
  • Italy
  • Rest of Europe
• Asia Pacific (Data Type, Modeling Type, Offering, Application, End Use)
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia-Pacific
• Latin America (Data Type, Modeling Type, Offering, Application, End Use)
  • Brazil
  • Rest of Latin America
• Middle East & Africa (Data Type, Modeling Type, Offering, Application, End Use)
  • GCC Countries
  • South Africa
  • Rest of Middle East & Africa

Competitive Intelligence

• Top 5 Player Comparison
• Market Positioning of Key Players, 2024
• Strategies Adopted by Key Market Players
• Recent Developments in the Market
• Company Market Share Analysis, 2024
• Company Profiles of All Key Players
  • Company Details
  • Product Portfolio Analysis
  • Company's Segmental Share Analysis
  • Revenue Y-O-Y Comparison (2022-2024)

Key Company Profiles

• NVIDIA Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• IBM Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Microsoft Corporation (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Google LLC (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Amazon Web Services (AWS) (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Synthetic Data, Inc. (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Hazy (UK)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Synthesis AI (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• TruEra (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Gretel.ai (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Zeta Alpha (Netherlands)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• DataGen (Israel)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Mostly AI (Austria)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Tonic.ai (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Aurora (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Mindtech Global (UK)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Parallel Domain (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• AI.Reverie (USA)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Anyverse (Spain)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments
• Cognata (Israel)
  • Company Overview
  • Business Segment Overview
  • Financial Updates
  • Key Developments

Conclusion & Recommendations