デフォルト表紙
市場調査レポート
商品コード
1718028

合成データ生成市場:データタイプ、モデリング、展開モデル、企業規模、用途、最終用途別-2025~2030年世界予測

Synthetic Data Generation Market by Data Type, Modelling, Deployment Model, Enterprise Size, Application, End-use - Global Forecast 2025-2030


出版日
発行
360iResearch
ページ情報
英文 185 Pages
納期
即日から翌営業日
カスタマイズ可能
適宜更新あり
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=148.90円
合成データ生成市場:データタイプ、モデリング、展開モデル、企業規模、用途、最終用途別-2025~2030年世界予測
出版日: 2025年04月01日
発行: 360iResearch
ページ情報: 英文 185 Pages
納期: 即日から翌営業日
GIIご利用のメリット
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  • 概要
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  • 目次
概要

合成データ生成市場の2024年の市場規模は5億7,602万米ドルで、2025年には7億6,484万米ドルに成長し、CAGRは34.43%、2030年には34億23万米ドルに達すると予測されています。

主要市場の統計
基準年 2024年 5億7,602万米ドル
推定年 2025年 7億6,484万米ドル
予測年 2030年 34億23万米ドル
CAGR(%) 34.43%

合成データ生成は、ニッチな実験技術から、産業を横断する現代のデジタルトランスフォーメーション戦略に不可欠な要素へと急速に進化しています。この技術は、アルゴリズムプロセスを使用して現実的なデータセットを作成し、データプライバシー、実世界データへのアクセス制限、データ取得に伴う高コストなどの課題を克服することを可能にします。今日の競争市場では、データが意思決定とイノベーションの基幹となっています。合成データは、実データの広さと複雑さを再現するだけでなく、機械学習モデルのテストと検証に管理された環境を記載しています。データ利用に対する規制上の制約が増加し、サイバーセキュリティへの懸念が高まる中、組織はシナリオのシミュレーション、オペレーションの最適化、継続的な改善を推進するために合成データ生成を取り入れています。この採用では、市場の現状を理解し、合成データが医療から小売まで幅広い産業にもたらす変革的な影響を理解するための土台を築きます。忠実度の高いシミュレーションデータを活用することで、企業はイノベーションを加速し、研究開発を強化し、進化するデジタル情勢を自信を持ってナビゲートしながら競合を維持することができます。

合成データ生成の展望における変革的シフト:新たな動向と破壊的変化

近年、合成データ生成の情勢は劇的な変化を遂げ、産業のベンチマークや業務プラクティスを再定義しています。先進的アルゴリズムと計算能力の向上は、高品質でリアルな合成データが幅広い用途で利用できる環境を育みました。市場力学は、シミュレーションデータセットの精度と多様性を向上させたGAN(Generative Adversarial Network)やその他のディープラーニング手法の躍進によって大きく変化しています。従来のデータ取得方法は、迅速に拡大でき、特定のビジネスニーズに合わせることができる革新的なソリューションに急速に取って代わられつつあります。さらに、特にデータのプライバシーとセキュリティをめぐる規制環境の進化により、より安全な代替手段としての合成データへの注目が高まっています。このようなダイナミックな市場力学により、より多くの企業が実世界でのデータ取得よりもシミュレーションの利点を追求するようになり、その結果、研究開発プロセスがより俊敏になり、市場投入までのタイムラインが短縮され、データ主導の意思決定が再び重視されるようになっています。このような継続的な進化は、従来のデータ収集手法のみに頼っていた同業他社に対して、早期に導入した企業が大きな優位性を得られる競合環境を醸成しています。

主要セグメントに関する洞察さまざまな次元にわたる市場力学の詳細分析

合成データ生成市場は、現在と将来の動向に関する貴重な洞察を提供する複数の主要な次元でセグメント化されています。データタイプに基づいて分析すると、画像・動画データ、表形式データ、テキストデータが含まれ、合成データアプリケーションの多様性を強調するスペクトルを提供しています。この区分はさらにモデリング手法にも及び、エージェントベースのモデリングと直接モデリングの両方が検討され、それぞれが特定のシミュレーションニーズや運用上の課題に対応しています。展開モデルのセグメントでは、クラウドソリューションとオンプレミスソリューションが明確に区別され、現代企業のさまざまな嗜好や運用フレームワークを反映しています。さらに、企業規模のセグメンテーションでは、大企業と中小企業(SME)を区別しており、市場内の独自のニーズとカスタマイズ型製品を明らかにしています。アプリケーションは、人工知能と機械学習のトレーニングと開発、データ分析と可視化、企業データ共有、テストデータ管理などのセグメントをカバーしています。最後に、最終用途のセグメンテーションは、自動車・輸送、BFSI、政府・防衛、医療ライフサイエンス、IT・ITeS、製造、小売・eコマースなど、多様な産業に及んでいます。これらの多面的なセグメンテーション洞察は、企業がいかに合成データを活用してセグメント固有の課題に対処し、新たな機会を活用しているかを示しています。

目次

第1章 序文

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 市場概要

第5章 市場洞察

  • 市場力学
    • 促進要因
      • 産業全体でデジタル化が進むにつれ、先進的合成データ生成の需要が高まっている
      • 政府の規制とコンプライアンスにより、いくつかのセグメントで合成データの採用が促進されている
      • ビッグデータ分析の進歩により、大規模な合成データ生成の必要性が高まっている
    • 抑制要因
      • データプライバシーの懸念が産業全体で合成データの導入を複雑化
    • 機会
      • 新たなAIと機械学習のアプリケーションが合成データソリューションの需要を促進
      • 自動運転車のテストと安全プロトコルの強化のための合成データの採用
    • 課題
      • 合成データセットにおける変動性と現実性を維持する技術的な困難
  • 市場セグメンテーション分析
    • データタイプ:コンピュータビジョンアプリケーションの急成長に伴い、画像とビデオデータの需要が高まっている
    • 展開モデル:拡大性とコスト効率によりクラウド導入の採用が増加
  • ポーターのファイブフォース分析
  • PESTEL分析
    • 政治
    • 経済
    • 社会
    • 技術
    • 法律
    • 環境

第6章 合成データ生成市場:データタイプ別

  • イントロダクション
  • 画像と動画データ
  • 表形式データ
  • テキストデータ

第7章 合成データ生成市場:モデリング別

  • イントロダクション
  • エージェントベースモデリング
  • ダイレクトモデリング

第8章 合成データ生成市場:展開モデル別

  • イントロダクション
  • クラウド
  • オンプレミス

第9章 合成データ生成市場:企業規模別

  • イントロダクション
  • 大企業
  • 中小企業

第10章 合成データ生成市場:用途別

  • イントロダクション
  • AI/MLのトレーニングと開発
  • データ分析と可視化
  • エンタープライズデータ共有
  • テストデータ管理

第11章 合成データ生成市場:最終用途別

  • イントロダクション
  • 自動車・輸送
  • BFSI
  • 政府と防衛
  • 医療とライフサイエンス
  • ITとITeS
  • 製造業
  • 小売・eコマース

第12章 南北アメリカの合成データ生成市場

  • イントロダクション
  • アルゼンチン
  • ブラジル
  • カナダ
  • メキシコ
  • 米国

第13章 アジア太平洋の合成データ生成市場

  • イントロダクション
  • オーストラリア
  • 中国
  • インド
  • インドネシア
  • 日本
  • マレーシア
  • フィリピン
  • シンガポール
  • 韓国
  • 台湾
  • タイ
  • ベトナム

第14章 欧州・中東・アフリカの合成データ生成市場

  • イントロダクション
  • デンマーク
  • エジプト
  • フィンランド
  • フランス
  • ドイツ
  • イスラエル
  • イタリア
  • オランダ
  • ナイジェリア
  • ノルウェー
  • ポーランド
  • カタール
  • ロシア
  • サウジアラビア
  • 南アフリカ
  • スペイン
  • スウェーデン
  • スイス
  • トルコ
  • アラブ首長国連邦
  • 英国

第15章 競合情勢

  • 市場シェア分析、2024年
  • FPNVポジショニングマトリックス、2024年
  • 競合シナリオ分析
  • 戦略分析と提言

企業一覧

  • Amazon Web Services, Inc.
  • ANONOS INC.
  • BetterData Pte Ltd
  • Broadcom Corporation
  • Capgemini SE
  • Datawizz.ai
  • Folio3 Software Inc.
  • GenRocket, Inc.
  • Gretel Labs, Inc.
  • Hazy Limited
  • Informatica Inc.
  • International Business Machines Corporation
  • K2view Ltd.
  • Kroop AI Private Limited
  • Kymera-labs
  • MDClone Limited
  • Microsoft Corporation
  • MOSTLY AI
  • NVIDIA Corporation
  • SAEC/Kinetic Vision, Inc.
  • Synthesis AI, Inc.
  • Synthesized Ltd.
  • Synthon International Holding B.V.
  • TonicAI, Inc.
  • YData Labs Inc.
図表

LIST OF FIGURES

  • FIGURE 1. SYNTHETIC DATA GENERATION MARKET MULTI-CURRENCY
  • FIGURE 2. SYNTHETIC DATA GENERATION MARKET MULTI-LANGUAGE
  • FIGURE 3. SYNTHETIC DATA GENERATION MARKET RESEARCH PROCESS
  • FIGURE 4. SYNTHETIC DATA GENERATION MARKET SIZE, 2024 VS 2030
  • FIGURE 5. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 6. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 7. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 8. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2024 VS 2030 (%)
  • FIGURE 9. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 10. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2024 VS 2030 (%)
  • FIGURE 11. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 12. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2030 (%)
  • FIGURE 13. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 14. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2030 (%)
  • FIGURE 15. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 16. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
  • FIGURE 17. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 18. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2024 VS 2030 (%)
  • FIGURE 19. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 20. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 21. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 22. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY STATE, 2024 VS 2030 (%)
  • FIGURE 23. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 24. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 25. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 26. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
  • FIGURE 27. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
  • FIGURE 28. SYNTHETIC DATA GENERATION MARKET SHARE, BY KEY PLAYER, 2024
  • FIGURE 29. SYNTHETIC DATA GENERATION MARKET, FPNV POSITIONING MATRIX, 2024

LIST OF TABLES

  • TABLE 1. SYNTHETIC DATA GENERATION MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
  • TABLE 3. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 6. SYNTHETIC DATA GENERATION MARKET DYNAMICS
  • TABLE 7. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 8. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY IMAGE & VIDEO DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 9. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY TABULAR DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY TEXT DATA, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 12. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY AGENT-BASED MODELING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DIRECT MODELING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 15. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 16. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 18. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY SMALL AND MEDIUM ENTERPRISES (SMES), BY REGION, 2018-2030 (USD MILLION)
  • TABLE 20. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 21. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY AI/ML TRAINING AND DEVELOPMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 22. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA ANALYTICS AND VISUALIZATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 23. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE DATA SHARING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 24. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY TEST DATA MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 25. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 26. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 27. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY BFSI, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 28. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY GOVERNMENT & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 29. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 30. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY IT AND ITES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 31. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 32. GLOBAL SYNTHETIC DATA GENERATION MARKET SIZE, BY RETAIL & E-COMMERCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 33. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 34. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 35. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 36. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 37. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 38. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 39. AMERICAS SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 40. ARGENTINA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 41. ARGENTINA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 42. ARGENTINA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 43. ARGENTINA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 44. ARGENTINA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 45. ARGENTINA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 46. BRAZIL SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 47. BRAZIL SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 48. BRAZIL SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 49. BRAZIL SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 50. BRAZIL SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 51. BRAZIL SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 52. CANADA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 53. CANADA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 54. CANADA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 55. CANADA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 56. CANADA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 57. CANADA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 58. MEXICO SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 59. MEXICO SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 60. MEXICO SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 61. MEXICO SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 62. MEXICO SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 63. MEXICO SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 64. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 65. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 66. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 67. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 68. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 69. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 70. UNITED STATES SYNTHETIC DATA GENERATION MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 71. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 72. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 73. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 74. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 75. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 76. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 77. ASIA-PACIFIC SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 78. AUSTRALIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 79. AUSTRALIA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 80. AUSTRALIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 81. AUSTRALIA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 82. AUSTRALIA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 83. AUSTRALIA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 84. CHINA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 85. CHINA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 86. CHINA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 87. CHINA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 88. CHINA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 89. CHINA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 90. INDIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 91. INDIA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 92. INDIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 93. INDIA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 94. INDIA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 95. INDIA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 96. INDONESIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 97. INDONESIA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 98. INDONESIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 99. INDONESIA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 100. INDONESIA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 101. INDONESIA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 102. JAPAN SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 103. JAPAN SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 104. JAPAN SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 105. JAPAN SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 106. JAPAN SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 107. JAPAN SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 108. MALAYSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 109. MALAYSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 110. MALAYSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 111. MALAYSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 112. MALAYSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 113. MALAYSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 114. PHILIPPINES SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 115. PHILIPPINES SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 116. PHILIPPINES SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 117. PHILIPPINES SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 118. PHILIPPINES SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 119. PHILIPPINES SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 120. SINGAPORE SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 121. SINGAPORE SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 122. SINGAPORE SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 123. SINGAPORE SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 124. SINGAPORE SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 125. SINGAPORE SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 126. SOUTH KOREA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 127. SOUTH KOREA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 128. SOUTH KOREA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 129. SOUTH KOREA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 130. SOUTH KOREA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 131. SOUTH KOREA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 132. TAIWAN SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 133. TAIWAN SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 134. TAIWAN SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 135. TAIWAN SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 136. TAIWAN SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 137. TAIWAN SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 138. THAILAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 139. THAILAND SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 140. THAILAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 141. THAILAND SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 142. THAILAND SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 143. THAILAND SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 144. VIETNAM SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 145. VIETNAM SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 146. VIETNAM SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 147. VIETNAM SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 148. VIETNAM SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 149. VIETNAM SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 150. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 151. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 152. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 153. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 154. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 155. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 156. EUROPE, MIDDLE EAST & AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 157. DENMARK SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 158. DENMARK SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 159. DENMARK SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 160. DENMARK SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 161. DENMARK SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 162. DENMARK SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 163. EGYPT SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 164. EGYPT SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 165. EGYPT SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 166. EGYPT SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 167. EGYPT SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 168. EGYPT SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 169. FINLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 170. FINLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 171. FINLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 172. FINLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 173. FINLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 174. FINLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 175. FRANCE SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 176. FRANCE SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 177. FRANCE SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 178. FRANCE SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 179. FRANCE SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 180. FRANCE SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 181. GERMANY SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 182. GERMANY SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 183. GERMANY SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 184. GERMANY SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 185. GERMANY SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 186. GERMANY SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 187. ISRAEL SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 188. ISRAEL SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 189. ISRAEL SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 190. ISRAEL SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 191. ISRAEL SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 192. ISRAEL SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 193. ITALY SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 194. ITALY SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 195. ITALY SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 196. ITALY SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 197. ITALY SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 198. ITALY SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 199. NETHERLANDS SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 200. NETHERLANDS SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 201. NETHERLANDS SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 202. NETHERLANDS SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 203. NETHERLANDS SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 204. NETHERLANDS SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 205. NIGERIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 206. NIGERIA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 207. NIGERIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 208. NIGERIA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 209. NIGERIA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 210. NIGERIA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 211. NORWAY SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 212. NORWAY SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 213. NORWAY SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 214. NORWAY SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 215. NORWAY SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 216. NORWAY SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 217. POLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 218. POLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 219. POLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 220. POLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 221. POLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 222. POLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 223. QATAR SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 224. QATAR SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 225. QATAR SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 226. QATAR SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 227. QATAR SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 228. QATAR SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 229. RUSSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 230. RUSSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 231. RUSSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 232. RUSSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 233. RUSSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 234. RUSSIA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 235. SAUDI ARABIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 236. SAUDI ARABIA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 237. SAUDI ARABIA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 238. SAUDI ARABIA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 239. SAUDI ARABIA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 240. SAUDI ARABIA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 241. SOUTH AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 242. SOUTH AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 243. SOUTH AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 244. SOUTH AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 245. SOUTH AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 246. SOUTH AFRICA SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 247. SPAIN SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 248. SPAIN SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 249. SPAIN SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 250. SPAIN SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 251. SPAIN SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 252. SPAIN SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 253. SWEDEN SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 254. SWEDEN SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 255. SWEDEN SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 256. SWEDEN SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 257. SWEDEN SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 258. SWEDEN SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 259. SWITZERLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 260. SWITZERLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 261. SWITZERLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 262. SWITZERLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 263. SWITZERLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 264. SWITZERLAND SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 265. TURKEY SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 266. TURKEY SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 267. TURKEY SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 268. TURKEY SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 269. TURKEY SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 270. TURKEY SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 271. UNITED ARAB EMIRATES SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 272. UNITED ARAB EMIRATES SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 273. UNITED ARAB EMIRATES SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 274. UNITED ARAB EMIRATES SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 275. UNITED ARAB EMIRATES SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 276. UNITED ARAB EMIRATES SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 277. UNITED KINGDOM SYNTHETIC DATA GENERATION MARKET SIZE, BY DATA TYPE, 2018-2030 (USD MILLION)
  • TABLE 278. UNITED KINGDOM SYNTHETIC DATA GENERATION MARKET SIZE, BY MODELLING, 2018-2030 (USD MILLION)
  • TABLE 279. UNITED KINGDOM SYNTHETIC DATA GENERATION MARKET SIZE, BY DEPLOYMENT MODEL, 2018-2030 (USD MILLION)
  • TABLE 280. UNITED KINGDOM SYNTHETIC DATA GENERATION MARKET SIZE, BY ENTERPRISE SIZE, 2018-2030 (USD MILLION)
  • TABLE 281. UNITED KINGDOM SYNTHETIC DATA GENERATION MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
  • TABLE 282. UNITED KINGDOM SYNTHETIC DATA GENERATION MARKET SIZE, BY END-USE, 2018-2030 (USD MILLION)
  • TABLE 283. SYNTHETIC DATA GENERATION MARKET SHARE, BY KEY PLAYER, 2024
  • TABLE 284. SYNTHETIC DATA GENERATION MARKET, FPNV POSITIONING MATRIX, 2024
目次
Product Code: MRR-CF6C60CF95B8

The Synthetic Data Generation Market was valued at USD 576.02 million in 2024 and is projected to grow to USD 764.84 million in 2025, with a CAGR of 34.43%, reaching USD 3,400.23 million by 2030.

KEY MARKET STATISTICS
Base Year [2024] USD 576.02 million
Estimated Year [2025] USD 764.84 million
Forecast Year [2030] USD 3,400.23 million
CAGR (%) 34.43%

Synthetic data generation has rapidly evolved from a niche experimental technology to a vital component of modern digital transformation strategies across industries. This technology creates realistic data sets using algorithmic processes, enabling organizations to overcome challenges such as data privacy, limited access to real-world data, and the high costs associated with data acquisition. In today's competitive market, data has become the backbone of decision-making and innovation. Synthetic data not only replicates the breadth and complexity of real data, but it also provides a controlled environment for testing and validating machine learning models. With increasing regulatory constraints on data usage and rising cybersecurity concerns, organizations are embracing synthetic data generation to simulate scenarios, optimize operations, and drive continuous improvement. This introduction lays the groundwork for understanding the current state of the market and the transformative impact synthetic data will have on industries ranging from healthcare to retail. By leveraging high-fidelity simulated data, companies can accelerate innovation, enhance research and development efforts, and maintain a competitive edge while confidently navigating the evolving digital landscape.

Transformative Shifts in the Synthetic Data Generation Landscape: Emerging Trends and Disruptive Changes

In recent years, the synthetic data generation landscape has witnessed dramatic shifts that have redefined industry benchmarks and operational practices. Advanced algorithms and increased computational power have fostered an environment where high-quality, realistic synthetic data is available for a wide range of applications. Market dynamics are being significantly altered by breakthroughs in generative adversarial networks (GANs) and other deep-learning methods, which have improved the accuracy and diversity of the simulated datasets. Traditional data acquisition methods are rapidly giving way to innovative solutions that can be scaled quickly and tailored to specific business needs. Furthermore, the evolving regulatory environment, particularly around data privacy and security, has intensified the focus on synthetic data as a safer alternative. These dynamic market factors are encouraging more organizations to explore the benefits of simulation over real-world data acquisition, resulting in more agile research and development processes, faster go-to-market timelines, and a renewed focus on data-driven decision making. The continuous evolution is fostering a competitive environment where early adopters gain substantial advantages over peers who rely solely on conventional data collection methods.

Key Segmentation Insights: A Detailed Analysis of Market Dynamics Across Various Dimensions

The market for synthetic data generation is segmented in multiple key dimensions that offer valuable insights into the current and future trends. When analyzed based on data type, the study encompasses image and video data, tabular data, and text data, providing a spectrum that highlights the versatility of synthetic data applications. The segmentation further extends into modeling methods, where both agent-based modeling and direct modeling are considered, each addressing specific simulation needs and operational challenges. In the arena of deployment models, a clear distinction is made between cloud and on-premise solutions, reflecting the varying preferences and operational frameworks of modern enterprises. Additionally, enterprise size segmentation distinguishes between large enterprises and small and medium enterprises (SMEs), unveiling unique demands and tailored offerings within the market. The application spectrum is robust, covering areas such as artificial intelligence and machine learning training and development, data analytics and visualization, enterprise data sharing, and test data management. Finally, the end-use segmentation spans a diverse range of industries including automotive and transportation, BFSI, government and defense, healthcare and life sciences, IT and ITeS, manufacturing, and retail and e-commerce. These multifaceted segmentation insights illustrate how organizations are leveraging synthetic data to address sector-specific challenges and capitalize on emerging opportunities.

Based on Data Type, market is studied across Image & Video Data, Tabular Data, and Text Data.

Based on Modelling, market is studied across Agent-based Modeling and Direct Modeling.

Based on Deployment Model, market is studied across Cloud and On-Premise.

Based on Enterprise Size, market is studied across Large Enterprises and Small and Medium Enterprises (SMEs).

Based on Application, market is studied across AI/ML Training and Development, Data analytics and visualization, Enterprise Data Sharing, and Test Data Management.

Based on End-use, market is studied across Automotive & Transportation, BFSI, Government & Defense, Healthcare & Life sciences, IT and ITeS, Manufacturing, and Retail & E-commerce.

Key Regional Insights: Performance, Opportunities, and Trends Across Global Markets

A regional analysis of the synthetic data generation market reveals divergent trends and emerging opportunities across major global territories. Insights drawn from the Americas indicate that innovation remains at the forefront, driven by a robust technology ecosystem and strong investment in cutting-edge research. In Europe, the Middle East, and Africa, the market is characterized by a steady adoption rate enhanced by regulatory support and a focus on data protection guidelines, which has spurred the integration of synthetic data in sectors like manufacturing and government services. Meanwhile, the Asia-Pacific region is witnessing exponential growth fueled by rapid digitalization, escalating investments in artificial intelligence, and a surge in the adoption of advanced data-driven methodologies. Each region contributes unique perspectives and operational advantages; from the research-centric approaches of the Americas to the regulatory innovation seen in EMEA, and the digital momentum emerging from Asia-Pacific, there exists a confluence of trends that are collectively shaping the future landscape of data utilization. This regional diversification underscores the importance of localized strategies to tap into the specific needs and competitive dynamics presented by different geographical areas.

Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

Key Companies Insights: Profiles of Leading Innovators Shaping the Future

Industry leaders who are actively shaping the synthetic data generation market include a broad range of companies that bring unique strengths to the table. Notable players driving innovation and setting benchmarks include Amazon Web Services, Inc., which leverages its expansive cloud infrastructure, and ANONOS INC., known for its focus on privacy-enhancing technologies. BetterData Pte Ltd and Broadcom Corporation have established themselves through innovative technical solutions and strategic market positioning. Capgemini SE and Datawizz.ai contribute significant value through their consultancy expertise and advanced data analytics capabilities, while Folio3 Software Inc. and GenRocket, Inc. continue to push the limits of simulation software. Companies like Gretel Labs, Inc. and Hazy Limited have garnered attention for their advancements in generating high-fidelity synthetic data. Informatica Inc. and International Business Machines Corporation (IBM) provide robust, scalable solutions that have become industry standards. Other influential companies include K2view Ltd., Kroop AI Private Limited, and Kymera-labs, while MDClone Limited, Microsoft Corporation, MOSTLY AI, and NVIDIA Corporation further solidify their positions with innovative integrations. Final leaders such as SAEC / Kinetic Vision, Inc., Synthesis AI, Inc., Synthesized Ltd., Synthon International Holding B.V., TonicAI, Inc., and YData Labs Inc. enhance the market dynamics through their proactive research, emphasizing a competitive landscape where collaboration and continuous evolution remain key.

The report delves into recent significant developments in the Synthetic Data Generation Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services, Inc., ANONOS INC., BetterData Pte Ltd, Broadcom Corporation, Capgemini SE, Datawizz.ai, Folio3 Software Inc., GenRocket, Inc., Gretel Labs, Inc., Hazy Limited, Informatica Inc., International Business Machines Corporation, K2view Ltd., Kroop AI Private Limited, Kymera-labs, MDClone Limited, Microsoft Corporation, MOSTLY AI, NVIDIA Corporation, SAEC / Kinetic Vision, Inc., Synthesis AI, Inc., Synthesized Ltd., Synthon International Holding B.V., TonicAI, Inc., and YData Labs Inc.. Actionable Recommendations for Industry Leaders: Strategic Paths Forward for Competitive Advantage

For industry leaders seeking to harness the full potential of synthetic data generation, a set of strategic recommendations can guide decision-making and pave the way for long-term growth. Organizations should begin by investing in advanced analytics infrastructure that not only supports synthetic data creation but also seamlessly integrates with existing data workflows. It is imperative to focus on pilot projects that test the scalability and accuracy of synthetic datasets in real-world scenarios. Leaders should actively form cross-functional teams that include data scientists, software engineers, and domain experts to collaboratively explore how synthetic data solutions can be tailored to meet specific operational challenges. Monitoring the regulatory landscape closely is essential in order to adapt strategies as data privacy and protection standards evolve. Furthermore, fostering partnerships with technology innovators can substantially shorten the time-to-market for new applications and bolster overall competitive positioning. Embracing a culture of continuous learning and agile adaptation will enable companies to anticipate market shifts and leverage synthetic data innovations effectively. This proactive stance will not only improve operational efficiency but also create new revenue streams, ensuring sustainable growth and a decisive competitive edge in an ever-evolving marketplace.

Comprehensive Conclusion: Synthesis of Findings and Strategic Implications for the Future

The comprehensive analysis presented here underscores the transformative potential of synthetic data generation across multiple facets of modern business operations. The evolution from rudimentary data simulation to sophisticated, high-fidelity models has reshaped traditional approaches to data acquisition, methodology, and deployment. Detailed segmentation insights reveal that the market is not monolithic but rather a complex matrix of different data types, modeling strategies, deployment modes, enterprise sizes, application areas, and end-use sectors. Additionally, a geographic breakdown highlights how regional variations contribute to overall market dynamism, reflecting both mature and emerging trends. The in-depth profiles of leading companies within the market illustrate the robust interplay between technological innovation and strategic implementation, fostering an environment ripe for competitive differentiation. As organizations navigate this rapidly evolving landscape, the key lies in embracing cutting-edge technology, maintaining agility in response to regulatory shifts, and fostering collaborative innovation. Ultimately, the strategic integration of synthetic data technologies promises not just cost efficiency and enhanced security, but also the ability to unlock new avenues for growth, driving the future of digital transformation in a host of industries.

Table of Contents

1. Preface

  • 1.1. Objectives of the Study
  • 1.2. Market Segmentation & Coverage
  • 1.3. Years Considered for the Study
  • 1.4. Currency & Pricing
  • 1.5. Language
  • 1.6. Stakeholders

2. Research Methodology

  • 2.1. Define: Research Objective
  • 2.2. Determine: Research Design
  • 2.3. Prepare: Research Instrument
  • 2.4. Collect: Data Source
  • 2.5. Analyze: Data Interpretation
  • 2.6. Formulate: Data Verification
  • 2.7. Publish: Research Report
  • 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Growing digitization across industries fuels the demand for advanced synthetic data generation
      • 5.1.1.2. Government regulations and compliance drive the adoption of synthetic data in several sectors
      • 5.1.1.3. Advancements in big data analytics fostering the need for large-scale synthetic data generation
    • 5.1.2. Restraints
      • 5.1.2.1. Data privacy concerns complicating synthetic data deployment across industries
    • 5.1.3. Opportunities
      • 5.1.3.1. Emerging AI & machine learning applications foster the demand for synthetic data solutions
      • 5.1.3.2. Adopting synthetic data for autonomous vehicle testing and safety protocol enhancement
    • 5.1.4. Challenges
      • 5.1.4.1. Technical difficulties in maintaining variability and realism in synthetic datasets
  • 5.2. Market Segmentation Analysis
    • 5.2.1. Data Type: Growing demand for image & video data with the burgeoning growth of computer vision applications
    • 5.2.2. Deployment Model: Rising adoption of cloud deployment owing to scalability & cost-efficiency
  • 5.3. Porter's Five Forces Analysis
    • 5.3.1. Threat of New Entrants
    • 5.3.2. Threat of Substitutes
    • 5.3.3. Bargaining Power of Customers
    • 5.3.4. Bargaining Power of Suppliers
    • 5.3.5. Industry Rivalry
  • 5.4. PESTLE Analysis
    • 5.4.1. Political
    • 5.4.2. Economic
    • 5.4.3. Social
    • 5.4.4. Technological
    • 5.4.5. Legal
    • 5.4.6. Environmental

6. Synthetic Data Generation Market, by Data Type

  • 6.1. Introduction
  • 6.2. Image & Video Data
  • 6.3. Tabular Data
  • 6.4. Text Data

7. Synthetic Data Generation Market, by Modelling

  • 7.1. Introduction
  • 7.2. Agent-based Modeling
  • 7.3. Direct Modeling

8. Synthetic Data Generation Market, by Deployment Model

  • 8.1. Introduction
  • 8.2. Cloud
  • 8.3. On-Premise

9. Synthetic Data Generation Market, by Enterprise Size

  • 9.1. Introduction
  • 9.2. Large Enterprises
  • 9.3. Small and Medium Enterprises (SMEs)

10. Synthetic Data Generation Market, by Application

  • 10.1. Introduction
  • 10.2. AI/ML Training and Development
  • 10.3. Data analytics and visualization
  • 10.4. Enterprise Data Sharing
  • 10.5. Test Data Management

11. Synthetic Data Generation Market, by End-use

  • 11.1. Introduction
  • 11.2. Automotive & Transportation
  • 11.3. BFSI
  • 11.4. Government & Defense
  • 11.5. Healthcare & Life sciences
  • 11.6. IT and ITeS
  • 11.7. Manufacturing
  • 11.8. Retail & E-commerce

12. Americas Synthetic Data Generation Market

  • 12.1. Introduction
  • 12.2. Argentina
  • 12.3. Brazil
  • 12.4. Canada
  • 12.5. Mexico
  • 12.6. United States

13. Asia-Pacific Synthetic Data Generation Market

  • 13.1. Introduction
  • 13.2. Australia
  • 13.3. China
  • 13.4. India
  • 13.5. Indonesia
  • 13.6. Japan
  • 13.7. Malaysia
  • 13.8. Philippines
  • 13.9. Singapore
  • 13.10. South Korea
  • 13.11. Taiwan
  • 13.12. Thailand
  • 13.13. Vietnam

14. Europe, Middle East & Africa Synthetic Data Generation Market

  • 14.1. Introduction
  • 14.2. Denmark
  • 14.3. Egypt
  • 14.4. Finland
  • 14.5. France
  • 14.6. Germany
  • 14.7. Israel
  • 14.8. Italy
  • 14.9. Netherlands
  • 14.10. Nigeria
  • 14.11. Norway
  • 14.12. Poland
  • 14.13. Qatar
  • 14.14. Russia
  • 14.15. Saudi Arabia
  • 14.16. South Africa
  • 14.17. Spain
  • 14.18. Sweden
  • 14.19. Switzerland
  • 14.20. Turkey
  • 14.21. United Arab Emirates
  • 14.22. United Kingdom

15. Competitive Landscape

  • 15.1. Market Share Analysis, 2024
  • 15.2. FPNV Positioning Matrix, 2024
  • 15.3. Competitive Scenario Analysis
    • 15.3.1. SAS acquisition of Hazy enhances AI capabilities with synthetic data, boosts privacy and accelerates development
    • 15.3.2. South Korea's PIPC launches synthetic data model promoting privacy-enhanced AI learning
    • 15.3.3. Rendered.ai and Carahsoft's strategic partnership for AI-driven synthetic data solutions
  • 15.4. Strategy Analysis & Recommendation
    • 15.4.1. Hazy Limited

Companies Mentioned

  • 1. Amazon Web Services, Inc.
  • 2. ANONOS INC.
  • 3. BetterData Pte Ltd
  • 4. Broadcom Corporation
  • 5. Capgemini SE
  • 6. Datawizz.ai
  • 7. Folio3 Software Inc.
  • 8. GenRocket, Inc.
  • 9. Gretel Labs, Inc.
  • 10. Hazy Limited
  • 11. Informatica Inc.
  • 12. International Business Machines Corporation
  • 13. K2view Ltd.
  • 14. Kroop AI Private Limited
  • 15. Kymera-labs
  • 16. MDClone Limited
  • 17. Microsoft Corporation
  • 18. MOSTLY AI
  • 19. NVIDIA Corporation
  • 20. SAEC / Kinetic Vision, Inc.
  • 21. Synthesis AI, Inc.
  • 22. Synthesized Ltd.
  • 23. Synthon International Holding B.V.
  • 24. TonicAI, Inc.
  • 25. YData Labs Inc.