市場調査レポート

商品コード

1380081

機械学習運用市場：コンポーネント、展開、組織規模、エンドユーザー別-2023-2030年の世界予測

Machine Learning Operations Market by Component (Services, Software), Deployment (Cloud, On-Premise), Organization Size, End-User - Global Forecast 2023-2030

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

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本日の銀行送金レート: 1USD=156.76円

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

サンプル依頼リストに入れる

機械学習運用市場は、2022年の23億9,000万米ドルから2030年には282億6,000万米ドルに達すると予測され、予測期間中のCAGRは36.15%です。

世界の機械学習運用市場

主な市場の統計
市場金額：基準年[2022]	23億9,000万米ドル
推定市場金額[2023]	32億4,000万米ドル
予測市場金額[2030]	282億6,000万米ドル
CAGR（%）	36.15%

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機械学習運用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.機械学習運用市場の市場規模および予測は？

2.機械学習運用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.機械学習運用市場における競争戦略の窓とは？

4.機械学習運用市場の最新技術動向と規制の枠組みは？

5.機械学習運用市場における主要ベンダーの市場シェアは？

6.機械学習運用市場への参入に適した形態や戦略的手段は？

市場力学
- 促進要因
  - 製造分野での機械学習の利用が増加
  - 生産性を向上させるためにエンドユーザー部門をデジタル化および自動化する政府の取り組み
  - 管理を改善するために機械学習プロセスの標準化への注目が高まる
- 抑制要因
  - 不一致によるデータ管理の問題
- 機会
  - 機械学習運用の継続的な改善と新しいソリューションの開発
  - スマートファクトリーとスマート製造技術への新たな投資
- 課題
  - 熟練した訓練を受けた専門家の確保が限られている
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章機械学習運用市場：コンポーネント別

サービス
ソフトウェア

第7章機械学習運用市場：展開別

クラウド
オンプレミス

第8章機械学習運用市場：組織規模別

大企業
中小企業

第9章機械学習運用市場：エンドユーザー別

航空宇宙と防衛
自動車と輸送
銀行、金融サービス、保険
建築、建設、不動産
消費財と小売
教育
エネルギーと公共事業
政府および公共部門
ヘルスケアとライフサイエンス
情報技術と通信
製造業
メディアとエンターテイメント
旅行とホスピタリティ

第10章南北アメリカの機械学習運用市場

アルゼンチン
ブラジル
カナダ
メキシコ
米国

第11章アジア太平洋地域の機械学習運用市場

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12章欧州・中東・アフリカの機械学習運用市場

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13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14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
- Addepto Sp. z o. o.
- Alibaba Cloud International
- Allegro Artificial Intelligence Ltd.
- Amazon Web Services, Inc.
- Anyscale, Inc.
- BigML Inc.
- Canonical Ltd.
- Dataiku
- DataRobot, Inc.
- Domino Data Lab, Inc.
- Gathr Data Inc.
- Google LLC by Alphabet Inc.
- Grid Dynamics Holdings, Inc.
- H2O.ai, Inc.
- Hewlett Packard Enterprise Company
- Iguazio Ltd. by McKinsey & Company
- International Business Machines Corporation
- Microsoft Corporation
- Neal Analytics
- Neptune Labs, Inc.
- Neuro Inc.
- Oracle Corporation
- Runai Labs Ltd.
- SAP SE
- SAS Institute Inc.
- Tredence Analytics Solutions Pvt. Ltd.
- understandAI GmbH
- Valohai
- Virtusa Corporation
- Weights and Biases, Inc.
主要な製品ポートフォリオ

第15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. MACHINE LEARNING OPERATIONS MARKET RESEARCH PROCESS
FIGURE 2. MACHINE LEARNING OPERATIONS MARKET SIZE, 2022 VS 2030
FIGURE 3. MACHINE LEARNING OPERATIONS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. MACHINE LEARNING OPERATIONS MARKET SIZE, BY REGION, 2022 VS 2030 (%)
FIGURE 5. MACHINE LEARNING OPERATIONS MARKET SIZE, BY REGION, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 6. MACHINE LEARNING OPERATIONS MARKET DYNAMICS
FIGURE 7. MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2022 VS 2030 (%)
FIGURE 8. MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 9. MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2022 VS 2030 (%)
FIGURE 10. MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 11. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2022 VS 2030 (%)
FIGURE 12. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 13. MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2022 VS 2030 (%)
FIGURE 14. MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 16. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY STATE, 2022 VS 2030 (%)
FIGURE 18. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY STATE, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 19. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 20. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2030 (%)
FIGURE 22. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2022 VS 2023 VS 2030 (USD MILLION)
FIGURE 23. MACHINE LEARNING OPERATIONS MARKET, FPNV POSITIONING MATRIX, 2022
FIGURE 24. MACHINE LEARNING OPERATIONS MARKET SHARE, BY KEY PLAYER, 2022

LIST OF TABLES

TABLE 1. MACHINE LEARNING OPERATIONS MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2022
TABLE 3. MACHINE LEARNING OPERATIONS MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL MACHINE LEARNING OPERATIONS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 6. MACHINE LEARNING OPERATIONS MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 7. MACHINE LEARNING OPERATIONS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 8. MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 9. MACHINE LEARNING OPERATIONS MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ON-PREMISE, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 12. MACHINE LEARNING OPERATIONS MARKET SIZE, BY LARGE ENTERPRISES, BY REGION, 2018-2030 (USD MILLION)
TABLE 13. MACHINE LEARNING OPERATIONS MARKET SIZE, BY SMES, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 15. MACHINE LEARNING OPERATIONS MARKET SIZE, BY AEROSPACE & DEFENSE, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. MACHINE LEARNING OPERATIONS MARKET SIZE, BY AUTOMOTIVE & TRANSPORTATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. MACHINE LEARNING OPERATIONS MARKET SIZE, BY BANKING, FINANCIAL SERVICES & INSURANCE, BY REGION, 2018-2030 (USD MILLION)
TABLE 18. MACHINE LEARNING OPERATIONS MARKET SIZE, BY BUILDING, CONSTRUCTION & REAL ESTATE, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. MACHINE LEARNING OPERATIONS MARKET SIZE, BY CONSUMER GOODS & RETAIL, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. MACHINE LEARNING OPERATIONS MARKET SIZE, BY EDUCATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. MACHINE LEARNING OPERATIONS MARKET SIZE, BY ENERGY & UTILITIES, BY REGION, 2018-2030 (USD MILLION)
TABLE 22. MACHINE LEARNING OPERATIONS MARKET SIZE, BY GOVERNMENT & PUBLIC SECTOR, BY REGION, 2018-2030 (USD MILLION)
TABLE 23. MACHINE LEARNING OPERATIONS MARKET SIZE, BY HEALTHCARE & LIFE SCIENCES, BY REGION, 2018-2030 (USD MILLION)
TABLE 24. MACHINE LEARNING OPERATIONS MARKET SIZE, BY INFORMATION TECHNOLOGY & TELECOMMUNICATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 25. MACHINE LEARNING OPERATIONS MARKET SIZE, BY MANUFACTURING, BY REGION, 2018-2030 (USD MILLION)
TABLE 26. MACHINE LEARNING OPERATIONS MARKET SIZE, BY MEDIA & ENTERTAINMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 27. MACHINE LEARNING OPERATIONS MARKET SIZE, BY TRAVEL & HOSPITALITY, BY REGION, 2018-2030 (USD MILLION)
TABLE 28. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 29. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 30. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 31. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 32. AMERICAS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 33. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 34. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 35. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 36. ARGENTINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 37. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 38. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 39. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 40. BRAZIL MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 41. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 42. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 43. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 44. CANADA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 45. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 46. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 47. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 48. MEXICO MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 49. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 50. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 51. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 52. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 53. UNITED STATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 54. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 55. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 56. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 57. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 58. ASIA-PACIFIC MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 59. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 60. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 61. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 62. AUSTRALIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 63. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 64. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 65. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 66. CHINA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 67. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 68. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 69. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 70. INDIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 71. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 72. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 73. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 74. INDONESIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 75. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 76. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 77. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 78. JAPAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 79. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 80. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 81. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 82. MALAYSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 83. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 84. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 85. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 86. PHILIPPINES MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 87. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 88. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 89. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 90. SINGAPORE MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 91. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 92. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 93. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 94. SOUTH KOREA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 95. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 96. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 97. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 98. TAIWAN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 99. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 100. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 101. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 102. THAILAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 103. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 104. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 105. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 106. VIETNAM MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 107. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 108. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 109. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 110. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 111. EUROPE, MIDDLE EAST & AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 112. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 113. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 114. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 115. DENMARK MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 116. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 117. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 118. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 119. EGYPT MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 120. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 121. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 122. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 123. FINLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 124. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 125. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 126. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 127. FRANCE MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 128. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 129. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 130. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 131. GERMANY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 132. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 133. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 134. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 135. ISRAEL MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 136. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 137. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 138. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 139. ITALY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 140. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 141. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 142. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 143. NETHERLANDS MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 144. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 145. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 146. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 147. NIGERIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 148. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 149. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 150. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 151. NORWAY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 152. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 153. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 154. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 155. POLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 156. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 157. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 158. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 159. QATAR MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 160. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 161. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 162. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 163. RUSSIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 164. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 165. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 166. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 167. SAUDI ARABIA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 168. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 169. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 170. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 171. SOUTH AFRICA MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 172. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 173. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 174. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 175. SPAIN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 176. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 177. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 178. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 179. SWEDEN MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 180. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 181. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 182. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 183. SWITZERLAND MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 184. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 185. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 186. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 187. TURKEY MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 188. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 189. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 190. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 191. UNITED ARAB EMIRATES MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 192. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 193. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 194. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY ORGANIZATION SIZE, 2018-2030 (USD MILLION)
TABLE 195. UNITED KINGDOM MACHINE LEARNING OPERATIONS MARKET SIZE, BY END-USER, 2018-2030 (USD MILLION)
TABLE 196. MACHINE LEARNING OPERATIONS MARKET, FPNV POSITIONING MATRIX, 2022
TABLE 197. MACHINE LEARNING OPERATIONS MARKET SHARE, BY KEY PLAYER, 2022
TABLE 198. MACHINE LEARNING OPERATIONS MARKET LICENSE & PRICING

Product Code: MRR-961BA04A2E4F

The Machine Learning Operations Market is projected to reach USD 28.26 billion by 2030 from USD 2.39 billion in 2022, at a CAGR of 36.15% during the forecast period.

Global Machine Learning Operations Market

KEY MARKET STATISTICS
Base Year Value [2022]	USD 2.39 billion
Estimated Year Value [2023]	USD 3.24 billion
Forecast Year Value [2030]	USD 28.26 billion
CAGR (%)	36.15%

Machine Learning Operations 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 Machine Learning Operations Market.

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

Based on Deployment, market is studied across Cloud and On-Premise. The Cloud is projected to witness significant market share during forecast period.

Based on Organization Size, market is studied across Large Enterprises and SMEs. The Large Enterprises is projected to witness significant market share during forecast period.

Based on End-User, market is studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology & Telecommunication, Manufacturing, Media & Entertainment, and Travel & Hospitality. The Banking, Financial Services & Insurance 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 Machine Learning Operations 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 Machine Learning Operations 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 Machine Learning Operations Market, highlighting leading vendors and their innovative profiles. These include Addepto Sp. z o. o., Alibaba Cloud International, Allegro Artificial Intelligence Ltd., Amazon Web Services, Inc., Anyscale, Inc., BigML Inc., Canonical Ltd., Dataiku, DataRobot, Inc., Domino Data Lab, Inc., Gathr Data Inc., Google LLC by Alphabet Inc., Grid Dynamics Holdings, Inc., H2O.ai, Inc., Hewlett Packard Enterprise Company, Iguazio Ltd. by McKinsey & Company, International Business Machines Corporation, Microsoft Corporation, Neal Analytics, Neptune Labs, Inc., Neuro Inc., Oracle Corporation, Runai Labs Ltd., SAP SE, SAS Institute Inc., Tredence Analytics Solutions Pvt. Ltd., understandAI GmbH, Valohai, Virtusa Corporation, and Weights and Biases, Inc..

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 Machine Learning Operations Market?

2. Which products, segments, applications, and areas hold the highest investment potential in the Machine Learning Operations Market?

3. What is the competitive strategic window for identifying opportunities in the Machine Learning Operations Market?

4. What are the latest technology trends and regulatory frameworks in the Machine Learning Operations Market?

5. What is the market share of the leading vendors in the Machine Learning Operations Market?

6. Which modes and strategic moves are suitable for entering the Machine Learning Operations Market?

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. Machine Learning Operations Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing utilization of machine learning in the manufacturing sector
  - 5.1.1.2. Government initiatives to digitalize and automate end-user sectors to boost productivity
  - 5.1.1.3. Growing focus on standardization of machine learning processes for better management
- 5.1.2. Restraints
  - 5.1.2.1. Issues associated with data management due to discrepancies
- 5.1.3. Opportunities
  - 5.1.3.1. Continuous improvements in machine learning operations and development of new solutions
  - 5.1.3.2. New investments in smart factory and smart manufacturing technologies
- 5.1.4. Challenges
  - 5.1.4.1. Limited availability of skilled and trained professionals
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. Machine Learning Operations Market, by Component

6.1. Introduction
6.2. Services
6.3. Software

7. Machine Learning Operations Market, by Deployment

7.1. Introduction
7.2. Cloud
7.3. On-Premise

8. Machine Learning Operations Market, by Organization Size

8.1. Introduction
8.2. Large Enterprises
8.3. SMEs

9. Machine Learning Operations Market, by End-User

9.1. Introduction
9.2. Aerospace & Defense
9.3. Automotive & Transportation
9.4. Banking, Financial Services & Insurance
9.5. Building, Construction & Real Estate
9.6. Consumer Goods & Retail
9.7. Education
9.8. Energy & Utilities
9.9. Government & Public Sector
9.10. Healthcare & Life Sciences
9.11. Information Technology & Telecommunication
9.12. Manufacturing
9.13. Media & Entertainment
9.14. Travel & Hospitality

10. Americas Machine Learning Operations Market

10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States

11. Asia-Pacific Machine Learning Operations Market

11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam

12. Europe, Middle East & Africa Machine Learning Operations Market

12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom

13. Competitive Landscape

13.1. FPNV Positioning Matrix
13.2. Market Share Analysis, By Key Player
13.3. Competitive Scenario Analysis, By Key Player

14. Competitive Portfolio

14.1. Key Company Profiles
- 14.1.1. Addepto Sp. z o. o.
- 14.1.2. Alibaba Cloud International
- 14.1.3. Allegro Artificial Intelligence Ltd.
- 14.1.4. Amazon Web Services, Inc.
- 14.1.5. Anyscale, Inc.
- 14.1.6. BigML Inc.
- 14.1.7. Canonical Ltd.
- 14.1.8. Dataiku
- 14.1.9. DataRobot, Inc.
- 14.1.10. Domino Data Lab, Inc.
- 14.1.11. Gathr Data Inc.
- 14.1.12. Google LLC by Alphabet Inc.
- 14.1.13. Grid Dynamics Holdings, Inc.
- 14.1.14. H2O.ai, Inc.
- 14.1.15. Hewlett Packard Enterprise Company
- 14.1.16. Iguazio Ltd. by McKinsey & Company
- 14.1.17. International Business Machines Corporation
- 14.1.18. Microsoft Corporation
- 14.1.19. Neal Analytics
- 14.1.20. Neptune Labs, Inc.
- 14.1.21. Neuro Inc.
- 14.1.22. Oracle Corporation
- 14.1.23. Runai Labs Ltd.
- 14.1.24. SAP SE
- 14.1.25. SAS Institute Inc.
- 14.1.26. Tredence Analytics Solutions Pvt. Ltd.
- 14.1.27. understandAI GmbH
- 14.1.28. Valohai
- 14.1.29. Virtusa Corporation
- 14.1.30. Weights and Biases, Inc.
14.2. Key Product Portfolio

15. Appendix

15.1. Discussion Guide
15.2. License & Pricing

機械学習運用市場：コンポーネント、展開、組織規模、エンドユーザー別-2023-2030年の世界予測

Machine Learning Operations Market by Component (Services, Software), Deployment (Cloud, On-Premise), Organization Size, End-User - Global Forecast 2023-2030

FPNVポジショニング・マトリックス

市場シェア分析

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：

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：

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

第6章 機械学習運用市場：コンポーネント別

第7章 機械学習運用市場：展開別

第8章 機械学習運用市場：組織規模別

第9章 機械学習運用市場：エンドユーザー別

第10章 南北アメリカの機械学習運用市場

第11章 アジア太平洋地域の機械学習運用市場

第12章 欧州・中東・アフリカの機械学習運用市場

第13章 競合情勢

第14章 競争力のあるポートフォリオ

第15章 付録