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1380317

金融におけるNLP市場：オファリング、テクノロジー、エンドユーザー別-2023-2030年の世界予測

NLP in Finance Market by Offering (Services, Software), Technology (Deep Learning, Emotion Detection, Machine Learning), End-User - Global Forecast 2023-2030
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

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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=156.76円
金融におけるNLP市場：オファリング、テクノロジー、エンドユーザー別-2023-2030年の世界予測
出版日: 2023年10月16日
発行: 360iResearch
ページ情報: 英文 185 Pages
納期: 即日から翌営業日
ご注意事項 :
本レポートは最新情報反映のため適宜更新し、内容構成変更を行う場合があります。ご検討の際はお問い合わせください。
  • 全表示
  • 概要
  • 図表
  • 目次
概要

金融におけるNLP市場は、2022年の59億2,000万米ドルから2030年には332億9,000万米ドルに達すると予測され、予測期間中のCAGRは24.07%です。

金融におけるNLPの世界市場

主な市場の統計
市場金額：基準年[2022] 59億2,000万米ドル
推定市場金額[2023] 72億8,000万米ドル
予測市場金額[2030] 332億9,000万米ドル
CAGR（%） 24.07%
金融におけるNLP Market-IMG1

FPNVポジショニング・マトリックス

FPNVポジショニングマトリックスは金融におけるNLP市場の評価に不可欠なツールです。事業戦略と製品満足度に関連する主要指標を分析し、ベンダーを包括的に評価します。これにより、ユーザーは特定のニーズに合わせた情報に基づいた意思決定を行うことができます。高度な分析により、ベンダーは4つの象限に分類され、それぞれ成功のレベルが異なります：フォアフロント（F）、パスファインダー（P）、ニッチ（N）、バイタル（V）です。この洞察に満ちたフレームワークにより、意思決定者は自信を持って市場をナビゲートすることができます。

市場シェア分析

市場シェア分析では、ベンダーの市場情勢に関する貴重な洞察を提供します。全体収益、顧客ベース、その他の主要指標への影響を評価することで、企業の業績と直面する競合環境を包括的に理解することができます。この分析では、調査期間中の市場シェア獲得、断片化、優位性、業界再編などの競合レベルも明らかにします。

本レポートは、以下の側面に関する貴重な洞察を提供しています：

1.市場の浸透度：主要企業の市場力学と製品に関する包括的な情報を提供します。

2.市場の開拓度：新興市場と成熟市場セグメントへの浸透度を詳細に分析し、有利なビジネスチャンスを浮き彫りにします。

3.市場の多様化：新製品の発売、未開拓の地域、最近の開発、投資に関する詳細情報。

4.競合の評価と情報：主要企業の市場シェア、戦略、製品、認証、規制状況、特許状況、製造能力を網羅的に評価。

5.製品開発およびイノベーション：将来の技術、研究開発活動、画期的な製品開発に関するインテリジェントな洞察。

本レポートは、以下のような主要な質問に対応しています：

1.金融におけるNLP市場の市場規模および予測は？

2.金融におけるNLP市場で最も高い投資ポテンシャルを持つ製品、セグメント、用途、分野は？

3.金融におけるNLP市場における競争戦略の窓とは？

4.金融におけるNLP市場の最新技術動向と規制の枠組みは？

5.金融におけるNLP市場における主要ベンダーの市場シェアは？

6.金融におけるNLP市場への参入に適した形態や戦略的手段は？

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 市場の概要

第5章 市場洞察

  • 市場力学
    • 促進要因
      • 銀行や金融機関での自動顧客サービス機の導入が増加
      • 不正行為と闘い、金融サービスを合理化するためにNLPのニーズが高まっている
      • 株式取引活動におけるNLPプラットフォームの採用の拡大
    • 抑制要因
      • NLPの限られたトレーニングデータに関連する問題
    • 機会
      • 銀行サービスのデジタル化に向けた投資の増加
      • 効率を高めるための継続的な製品開発
    • 課題
      • NLPプラットフォームに関連する不確実性の課題と生来の偏見
  • 市場セグメンテーション分析
  • 市場動向分析
  • 高インフレの累積的影響
  • ポーターのファイブフォース分析
  • バリューチェーンとクリティカルパス分析
  • 規制の枠組み

第6章 金融におけるNLP市場：提供別

  • サービス
  • ソフトウェア

第7章 金融におけるNLP市場：技術別

  • ディープラーニング
  • 感情の検出
  • 機械学習
  • 自然言語の生成
  • テキストの分類
  • トピックモデリング

第8章 金融におけるNLP市場：エンドユーザー別

  • 銀行業
  • 金融業務
  • 保険

第9章 南北アメリカの金融におけるNLP市場

  • アルゼンチン
  • ブラジル
  • カナダ
  • メキシコ
  • 米国

第10章 アジア太平洋地域の金融におけるNLP市場

  • 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11章 欧州・中東・アフリカの金融におけるNLP市場

  • 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12章 競合情勢

  • FPNVポジショニングマトリクス
  • 市場シェア分析：主要企業別
  • 競合シナリオ主要企業別の分析

第13章 競争力のあるポートフォリオ

  • 主要な企業プロファイル
    • Aalpha Information Systems India Pvt. Ltd.
    • ABBYY Development Inc.
    • Accern Corporation
    • Amazon Web Services, Inc.
    • Attivio, Inc.
    • Avaamo
    • Conversica, Inc.
    • Flatworld Solutions Pvt. Ltd.
    • Google LLC by Alphabet Inc.
    • GupShup
    • Inbenta Holdings Inc.
    • InData Labs Group Limited
    • Inexture solutions LLP
    • International Business Machines Corporation
    • Jio Haptik Technologies Limited
    • Kasisto, Inc.
    • Matellio Inc.
    • Microsoft Corporation
    • Mindtitan OU
    • Netguru S.A.
    • Oracle Corporation
    • ProminentPixel
    • Qualtrics LLC
    • Quy Technology Pvt. Ltd.
    • SAS Institute Inc.
    • Senseforth Inc.
    • Unicsoft LP
    • Veritone, Inc.
    • Yellow.ai
  • 主要な製品ポートフォリオ

第14章 付録

  • ディスカッションガイド
  • ライセンスと価格について
図表

LIST OF FIGURES

  • FIGURE 1. NLP IN FINANCE MARKET RESEARCH PROCESS
  • FIGURE 2. NLP IN FINANCE MARKET SIZE, 2022 VS 2030
  • FIGURE 3. NLP IN FINANCE MARKET SIZE, 2018-2030 (USD MILLION)
  • FIGURE 4. NLP IN FINANCE MARKET SIZE, BY REGION, 2022 VS 2030 (%)
  • FIGURE 5. NLP IN FINANCE MARKET SIZE, BY REGION, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 6. NLP IN FINANCE MARKET DYNAMICS
  • FIGURE 7. NLP IN FINANCE MARKET SIZE, BY OFFERING, 2022 VS 2030 (%)
  • FIGURE 8. NLP IN FINANCE MARKET SIZE, BY OFFERING, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 9. NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2022 VS 2030 (%)
  • FIGURE 10. NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 11. NLP IN FINANCE MARKET SIZE, BY END-USER, 2022 VS 2030 (%)
  • FIGURE 12. NLP IN FINANCE MARKET SIZE, BY END-USER, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 13. AMERICAS NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
  • FIGURE 14. AMERICAS NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 15. UNITED STATES NLP IN FINANCE MARKET SIZE, BY STATE, 2022 VS 2030 (%)
  • FIGURE 16. UNITED STATES NLP IN FINANCE MARKET SIZE, BY STATE, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 17. ASIA-PACIFIC NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
  • FIGURE 18. ASIA-PACIFIC NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 19. EUROPE, MIDDLE EAST & AFRICA NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
  • FIGURE 20. EUROPE, MIDDLE EAST & AFRICA NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
  • FIGURE 21. NLP IN FINANCE MARKET, FPNV POSITIONING MATRIX, 2022
  • FIGURE 22. NLP IN FINANCE MARKET SHARE, BY KEY PLAYER, 2022

LIST OF TABLES

  • TABLE 1. NLP IN FINANCE MARKET SEGMENTATION & COVERAGE
  • TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2022
  • TABLE 3. NLP IN FINANCE MARKET SIZE, 2018-2030 (USD MILLION)
  • TABLE 4. GLOBAL NLP IN FINANCE MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 5. NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 6. NLP IN FINANCE MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 7. NLP IN FINANCE MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 8. NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 9. NLP IN FINANCE MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 10. NLP IN FINANCE MARKET SIZE, BY EMOTION DETECTION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 11. NLP IN FINANCE MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 12. NLP IN FINANCE MARKET SIZE, BY NATURAL LANGUAGE GENERATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 13. NLP IN FINANCE MARKET SIZE, BY TEXT CLASSIFICATION, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 14. NLP IN FINANCE MARKET SIZE, BY TOPIC MODELING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 15. NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 16. NLP IN FINANCE MARKET SIZE, BY BANKING, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 17. NLP IN FINANCE MARKET SIZE, BY FINANCIAL SERVICES, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 18. NLP IN FINANCE MARKET SIZE, BY INSURANCE, BY REGION, 2018-2030 (USD MILLION)
  • TABLE 19. AMERICAS NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 20. AMERICAS NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 21. AMERICAS NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 22. AMERICAS NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 23. ARGENTINA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 24. ARGENTINA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 25. ARGENTINA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 26. BRAZIL NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 27. BRAZIL NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 28. BRAZIL NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 29. CANADA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 30. CANADA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 31. CANADA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 32. MEXICO NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 33. MEXICO NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 34. MEXICO NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 35. UNITED STATES NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 36. UNITED STATES NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 37. UNITED STATES NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 38. UNITED STATES NLP IN FINANCE MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
  • TABLE 39. ASIA-PACIFIC NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 40. ASIA-PACIFIC NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 41. ASIA-PACIFIC NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 42. ASIA-PACIFIC NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 43. AUSTRALIA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 44. AUSTRALIA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 45. AUSTRALIA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 46. CHINA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 47. CHINA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 48. CHINA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 49. INDIA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 50. INDIA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 51. INDIA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 52. INDONESIA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 53. INDONESIA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 54. INDONESIA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 55. JAPAN NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 56. JAPAN NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 57. JAPAN NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 58. MALAYSIA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 59. MALAYSIA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 60. MALAYSIA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 61. PHILIPPINES NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 62. PHILIPPINES NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 63. PHILIPPINES NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 64. SINGAPORE NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 65. SINGAPORE NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 66. SINGAPORE NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 67. SOUTH KOREA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 68. SOUTH KOREA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 69. SOUTH KOREA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 70. TAIWAN NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 71. TAIWAN NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 72. TAIWAN NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 73. THAILAND NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 74. THAILAND NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 75. THAILAND NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 76. VIETNAM NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 77. VIETNAM NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 78. VIETNAM NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 79. EUROPE, MIDDLE EAST & AFRICA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 80. EUROPE, MIDDLE EAST & AFRICA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 81. EUROPE, MIDDLE EAST & AFRICA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 82. EUROPE, MIDDLE EAST & AFRICA NLP IN FINANCE MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
  • TABLE 83. DENMARK NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 84. DENMARK NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 85. DENMARK NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 86. EGYPT NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 87. EGYPT NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 88. EGYPT NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 89. FINLAND NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 90. FINLAND NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 91. FINLAND NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 92. FRANCE NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 93. FRANCE NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 94. FRANCE NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 95. GERMANY NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 96. GERMANY NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 97. GERMANY NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 98. ISRAEL NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 99. ISRAEL NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 100. ISRAEL NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 101. ITALY NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 102. ITALY NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 103. ITALY NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 104. NETHERLANDS NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 105. NETHERLANDS NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 106. NETHERLANDS NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 107. NIGERIA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 108. NIGERIA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 109. NIGERIA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 110. NORWAY NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 111. NORWAY NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 112. NORWAY NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 113. POLAND NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 114. POLAND NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 115. POLAND NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 116. QATAR NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 117. QATAR NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 118. QATAR NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 119. RUSSIA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 120. RUSSIA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 121. RUSSIA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 122. SAUDI ARABIA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 123. SAUDI ARABIA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 124. SAUDI ARABIA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 125. SOUTH AFRICA NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 126. SOUTH AFRICA NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 127. SOUTH AFRICA NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 128. SPAIN NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 129. SPAIN NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 130. SPAIN NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 131. SWEDEN NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 132. SWEDEN NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 133. SWEDEN NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 134. SWITZERLAND NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 135. SWITZERLAND NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 136. SWITZERLAND NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 137. TURKEY NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 138. TURKEY NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 139. TURKEY NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 140. UNITED ARAB EMIRATES NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 141. UNITED ARAB EMIRATES NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 142. UNITED ARAB EMIRATES NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 143. UNITED KINGDOM NLP IN FINANCE MARKET SIZE, BY OFFERING, 2018-2030 (USD MILLION)
  • TABLE 144. UNITED KINGDOM NLP IN FINANCE MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
  • TABLE 145. UNITED KINGDOM NLP IN FINANCE MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
  • TABLE 146. NLP IN FINANCE MARKET, FPNV POSITIONING MATRIX, 2022
  • TABLE 147. NLP IN FINANCE MARKET SHARE, BY KEY PLAYER, 2022
  • TABLE 148. NLP IN FINANCE MARKET LICENSE & PRICING
目次
Product Code: MRR-961BA04A2E7D

The NLP in Finance Market is projected to reach USD 33.29 billion by 2030 from USD 5.92 billion in 2022, at a CAGR of 24.07% during the forecast period.

Global NLP in Finance Market

KEY MARKET STATISTICS
Base Year Value [2022] USD 5.92 billion
Estimated Year Value [2023] USD 7.28 billion
Forecast Year Value [2030] USD 33.29 billion
CAGR (%) 24.07%
NLP in Finance Market - IMG1

Market Segmentation & Coverage:

This research report analyzes various sub-markets, forecasts revenues, and examines emerging trends in each category to provide a comprehensive outlook on the NLP in Finance Market.

Based on Offering, market is studied across Services and Software. The Software is projected to witness significant market share during forecast period.

Based on Technology, market is studied across Deep Learning, Emotion Detection, Machine Learning, Natural Language Generation, Text Classification, and Topic Modeling. The Emotion Detection is projected to witness significant market share during forecast period.

Based on End-User, market is studied across Banking, Financial Services, and Insurance. The Financial Services is projected to witness significant market share during forecast period.

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. The Asia-Pacific is projected to witness significant market share during forecast period.

Market Statistics:

The report provides market sizing and forecasts across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF; multiple currency support helps organization leaders to make well-informed decisions. In this report, 2018 to 2021 are considered as historical years, 2022 is base year, 2023 is estimated year, and years from 2024 to 2030 are considered as forecast period.

FPNV Positioning Matrix:

The FPNV Positioning Matrix is an indispensable tool for assessing the NLP in Finance Market. It comprehensively evaluates vendors, analyzing key metrics related to Business Strategy and Product Satisfaction. This enables users to make informed decisions tailored to their specific needs. Through advanced analysis, vendors are categorized into four distinct quadrants, each representing a different level of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V). Be assured that this insightful framework empowers decision-makers to navigate the market with confidence.

Market Share Analysis:

The Market Share Analysis offers invaluable insights into the vendor landscape NLP in Finance Market. By evaluating their impact on overall revenue, customer base, and other key metrics, we provide companies with a comprehensive understanding of their performance and the competitive environment they confront. This analysis also uncovers the level of competition in terms of market share acquisition, fragmentation, dominance, and industry consolidation during the study period.

Key Company Profiles:

The report delves into recent significant developments in the NLP in Finance Market, highlighting leading vendors and their innovative profiles. These include Aalpha Information Systems India Pvt. Ltd., ABBYY Development Inc., Accern Corporation, Amazon Web Services, Inc., Attivio, Inc., Avaamo, Conversica, Inc., Flatworld Solutions Pvt. Ltd., Google LLC by Alphabet Inc., GupShup, Inbenta Holdings Inc., InData Labs Group Limited, Inexture solutions LLP, International Business Machines Corporation, Jio Haptik Technologies Limited, Kasisto, Inc., Matellio Inc., Microsoft Corporation, Mindtitan OU, Netguru S.A., Oracle Corporation, ProminentPixel, Qualtrics LLC, Quy Technology Pvt. Ltd., SAS Institute Inc., Senseforth Inc., Unicsoft LP, Veritone, Inc., and Yellow.ai.

The report offers valuable insights on the following aspects:

1. Market Penetration: It provides comprehensive information about key players' market dynamics and offerings.

2. Market Development: In-depth analysis of emerging markets and penetration across mature market segments, highlighting lucrative opportunities.

3. Market Diversification: Detailed information about new product launches, untapped geographies, recent developments, and investments.

4. Competitive Assessment & Intelligence: Exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of leading players.

5. Product Development & Innovation: Intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast for the NLP in Finance Market?

2. Which products, segments, applications, and areas hold the highest investment potential in the NLP in Finance Market?

3. What is the competitive strategic window for identifying opportunities in the NLP in Finance Market?

4. What are the latest technology trends and regulatory frameworks in the NLP in Finance Market?

5. What is the market share of the leading vendors in the NLP in Finance Market?

6. Which modes and strategic moves are suitable for entering the NLP in Finance Market?

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. Limitations
  • 1.7. Assumptions
  • 1.8. 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

  • 4.1. Introduction
  • 4.2. NLP in Finance Market, by Region

5. Market Insights

  • 5.1. Market Dynamics
    • 5.1.1. Drivers
      • 5.1.1.1. Increasing adoption of automated customer service machines in banks and financial institutions
      • 5.1.1.2. Higher need of NLP to to combat fraud and streamline the financial services
      • 5.1.1.3. Growing adoption of NLP platforms in stock trading activities
    • 5.1.2. Restraints
      • 5.1.2.1. Issues associated with limited training data for NLP
    • 5.1.3. Opportunities
      • 5.1.3.1. Increasing investment to digitized the banking services
      • 5.1.3.2. Ongoing product development to increase the efficiency
    • 5.1.4. Challenges
      • 5.1.4.1. Uncertainty challenges and innate bias related to NLP platforms
  • 5.2. Market Segmentation Analysis
  • 5.3. Market Trend Analysis
  • 5.4. Cumulative Impact of High Inflation
  • 5.5. Porter's Five Forces Analysis
    • 5.5.1. Threat of New Entrants
    • 5.5.2. Threat of Substitutes
    • 5.5.3. Bargaining Power of Customers
    • 5.5.4. Bargaining Power of Suppliers
    • 5.5.5. Industry Rivalry
  • 5.6. Value Chain & Critical Path Analysis
  • 5.7. Regulatory Framework

6. NLP in Finance Market, by Offering

  • 6.1. Introduction
  • 6.2. Services
  • 6.3. Software

7. NLP in Finance Market, by Technology

  • 7.1. Introduction
  • 7.2. Deep Learning
  • 7.3. Emotion Detection
  • 7.4. Machine Learning
  • 7.5. Natural Language Generation
  • 7.6. Text Classification
  • 7.7. Topic Modeling

8. NLP in Finance Market, by End-User

  • 8.1. Introduction
  • 8.2. Banking
  • 8.3. Financial Services
  • 8.4. Insurance

9. Americas NLP in Finance Market

  • 9.1. Introduction
  • 9.2. Argentina
  • 9.3. Brazil
  • 9.4. Canada
  • 9.5. Mexico
  • 9.6. United States

10. Asia-Pacific NLP in Finance Market

  • 10.1. Introduction
  • 10.2. Australia
  • 10.3. China
  • 10.4. India
  • 10.5. Indonesia
  • 10.6. Japan
  • 10.7. Malaysia
  • 10.8. Philippines
  • 10.9. Singapore
  • 10.10. South Korea
  • 10.11. Taiwan
  • 10.12. Thailand
  • 10.13. Vietnam

11. Europe, Middle East & Africa NLP in Finance Market

  • 11.1. Introduction
  • 11.2. Denmark
  • 11.3. Egypt
  • 11.4. Finland
  • 11.5. France
  • 11.6. Germany
  • 11.7. Israel
  • 11.8. Italy
  • 11.9. Netherlands
  • 11.10. Nigeria
  • 11.11. Norway
  • 11.12. Poland
  • 11.13. Qatar
  • 11.14. Russia
  • 11.15. Saudi Arabia
  • 11.16. South Africa
  • 11.17. Spain
  • 11.18. Sweden
  • 11.19. Switzerland
  • 11.20. Turkey
  • 11.21. United Arab Emirates
  • 11.22. United Kingdom

12. Competitive Landscape

  • 12.1. FPNV Positioning Matrix
  • 12.2. Market Share Analysis, By Key Player
  • 12.3. Competitive Scenario Analysis, By Key Player

13. Competitive Portfolio

  • 13.1. Key Company Profiles
    • 13.1.1. Aalpha Information Systems India Pvt. Ltd.
    • 13.1.2. ABBYY Development Inc.
    • 13.1.3. Accern Corporation
    • 13.1.4. Amazon Web Services, Inc.
    • 13.1.5. Attivio, Inc.
    • 13.1.6. Avaamo
    • 13.1.7. Conversica, Inc.
    • 13.1.8. Flatworld Solutions Pvt. Ltd.
    • 13.1.9. Google LLC by Alphabet Inc.
    • 13.1.10. GupShup
    • 13.1.11. Inbenta Holdings Inc.
    • 13.1.12. InData Labs Group Limited
    • 13.1.13. Inexture solutions LLP
    • 13.1.14. International Business Machines Corporation
    • 13.1.15. Jio Haptik Technologies Limited
    • 13.1.16. Kasisto, Inc.
    • 13.1.17. Matellio Inc.
    • 13.1.18. Microsoft Corporation
    • 13.1.19. Mindtitan OU
    • 13.1.20. Netguru S.A.
    • 13.1.21. Oracle Corporation
    • 13.1.22. ProminentPixel
    • 13.1.23. Qualtrics LLC
    • 13.1.24. Quy Technology Pvt. Ltd.
    • 13.1.25. SAS Institute Inc.
    • 13.1.26. Senseforth Inc.
    • 13.1.27. Unicsoft LP
    • 13.1.28. Veritone, Inc.
    • 13.1.29. Yellow.ai
  • 13.2. Key Product Portfolio

14. Appendix

  • 14.1. Discussion Guide
  • 14.2. License & Pricing