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1747714

機械学習モデルの運用の世界市場

Machine Learning Model Operationalization


出版日
ページ情報
英文 178 Pages
納期
即日から翌営業日
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=151.79円
機械学習モデルの運用の世界市場
出版日: 2025年06月13日
発行: Global Industry Analysts, Inc.
ページ情報: 英文 178 Pages
納期: 即日から翌営業日
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概要

機械学習モデルの運用の世界市場は2030年までに187億米ドルに到達

2024年に25億米ドルと推定される機械学習モデルの運用の世界市場は、2024年から2030年にかけてCAGR 39.6%で成長し、2030年には187億米ドルに達すると予測されます。本レポートで分析したセグメントの1つであるプラットフォーム・コンポーネントは、CAGR 43.4%を記録し、分析期間終了までに135億米ドルに達すると予測されます。サービスコンポーネント分野の成長率は、分析期間でCAGR 32.3%と推定されます。

米国市場は6億6,270万米ドルと推定、中国はCAGR37.4%で成長予測

米国の機械学習モデルの運用市場は、2024年に6億6,270万米ドルと推定されます。世界第2位の経済大国である中国は、2030年までに27億米ドルの市場規模に達すると予測され、分析期間2024-2030年のCAGRは37.4%です。その他の注目すべき地域別市場としては、日本とカナダがあり、それぞれ分析期間中に36.7%と33.9%のCAGRで成長すると予測されています。欧州では、ドイツがCAGR約27.2%で成長すると予測されています。

世界の機械学習モデルの運用市場- 主要動向と促進要因のまとめ

機械学習の価値実現にモデル運用化が不可欠な理由とは?

機械学習(ML)モデルの運用化-一般にMLOpsと呼ばれる-とは、実世界の本番環境における機械学習モデルの展開、監視、保守のプロセスです。MLモデルの開発には多大な労力が費やされますが、機械学習の真の価値は、これらのモデルが拡張され、企業のワークフローに統合され、導入後に継続的に改善されて初めて実現されます。運用化によって、データ・サイエンスのアウトプットが実験的なプロトタイプから、信頼性が高く保守可能なビジネス・アプリケーションに移行することが保証されます。

金融、ヘルスケア、小売業、製造業などの組織では、モデルのトレーニングや検証からデプロイ、モニタリング、再トレーニング、ガバナンスに至るまで、MLのライフサイクル全体を管理する運用パイプラインへの投資が増加しています。企業がAI主導の意思決定を採用するにつれ、再現性、透明性、ガバナンスの必要性が高まっています。Operationalizationは、モデルのバージョン管理、ドリフト検出、パフォーマンス追跡、セキュリティコンプライアンスを可能にすることで、これらのニーズに対応し、機械学習の取り組みを持続可能でスケーラブルなものにします。

自動化、モニタリング、モデルの信頼性を高めるツールとプラットフォームとは?

MLOpsのエコシステムは、モデルのデプロイメント、オーケストレーション、モニタリング、フィードバックループに特化したツールの出現によって急速に進化しています。AWS SageMaker、Azure ML、Google Vertex AIなどのクラウドネイティブなプラットフォームは、DevOpsの原則をMLのワークフローに統合し、MLのシームレスなモデルパッケージング、コンテナ化、CI/CDを可能にしています。MLflow、Kubeflow、DVCのようなオープンソースのフレームワークは、データサイエンティストやMLエンジニアがデプロイメントパイプラインを自動化し、メタデータを管理し、モデルのリネージを制御できるようにしています。

監視プラットフォームは現在、入力データのドリフト、特徴分布の異常、ライブ環境でのパフォーマンス低下を追跡するリアルタイムダッシュボードを提供しています。リスクを最小限に抑え、精度を維持するために、トリガーによる再トレーニングと自動ロールバック機能が組み込まれています。これらのツールは、入力データが進化してもモデルが信頼できる出力を生成し続けることを保証し、コンセプトドリフトと生産信頼性という中核的課題に対処します。

MLモデルの運用化の需要を牽引している業界は?

金融機関はモデル運用化の最前線にあり、不正検出、信用スコアリング、アルゴリズム取引にMLを使用しています。ヘルスケアプロバイダーや保険会社は、診断サポート、患者の転帰予測、保険金請求の自動化にMLOを使用しており、厳格なデータプライバシー、検証、倫理的監視を必要としています。小売業やeコマースでは、実用化されたモデルがパーソナライズされたレコメンデーション、需要予測、価格最適化を推進しています。

製造業や物流企業では、MLを予測保全、在庫最適化、サプライチェーンのリスク評価に統合しています。政府機関や防衛機関は、脅威の検知、インテリジェンス分析、資源計画のためにMLを運用化しています。すべてのセクターにおいて、MLを単なる研究開発機能としてではなく、中核的な運用資産として活用することが可能になっています。

世界の機械学習モデルの運用市場の成長の原動力は?

機械学習モデルの運用市場の成長は、AIアプリケーションの複雑化、リアルタイムの意思決定システムの必要性、スケーラブルで監査可能なML展開の需要によってもたらされます。中心的な促進要因は、企業のAI戦略の成熟度が高まっていることであり、データサイエンス投資からROIを引き出すためには運用化が必要です。GDPR、HIPAA、EU AI Actなどの規制フレームワークも、組織に追跡可能でコンプライアンスに準拠したMLワークフローの実装を促しています。

ツールチェーンの統合、クラウドコンピューティングの採用、AIファーストのビジネスモデルへのシフトは、堅牢で反復可能なモデル管理の必要性をさらに加速させています。AIの使用事例が業界全体に拡大するにつれ、モデルの運用化は、ダイナミックな実世界環境において信頼性、説明責任、スケーラビリティを維持するために不可欠となり、より広範なAIエコシステムの中で最も戦略的に重要なセグメントの1つとなっています。

セグメント

コンポーネント(プラットフォーム、サービス)、デプロイメント(クラウド、オンプレミス)、業界別(BFSI、IT&ITeS、製造、小売&eコマース、政府&防衛、ヘルスケア&ライフサイエンス、テレコム、エネルギー&公益事業、旅行&ツーリズム、その他)。

調査対象企業の例(全36社)

  • Aible
  • Algorithmia
  • Amazon Web Services
  • Azilen Technologies
  • Cloudera
  • Dataiku
  • DataRobot
  • Domino Data Lab
  • Google Cloud(Vertex AI)
  • H2O.ai
  • IBM
  • Informatica
  • Microsoft Azure ML
  • ModelOp
  • Neptune.ai
  • Oracle
  • RapidMiner
  • SAS
  • Seldon
  • Tecton

関税影響係数

Global Industry Analystsは、本社の国、製造拠点、輸出入(完成品とOEM)に基づく企業の競争力の変化を予測しています。この複雑で多面的な市場力学は、人為的な売上原価の増加、収益性の低下、サプライチェーンの再構築など、ミクロおよびマクロの市場力学の中でも特に競合他社に影響を与える見込みです。

Global Industry Analystsは、世界の主要なチーフ・エコノミスト(1万4,949人)、シンクタンク(62団体)、貿易・産業団体(171団体)の専門家の意見に熱心に従いながら、エコシステムへの影響を評価し、新たな市場の現実に対処しています。あらゆる主要国の専門家やエコノミストが、関税とそれが自国に与える影響についての意見を追跡調査しています。

Global Industry Analystsは、この混乱が今後2-3ヶ月で収束し、新しい世界秩序がより明確に確立されると予想しています。Global Industry Analystsは、これらの開発をリアルタイムで追跡しています。

2025年4月:交渉フェーズ

4月のリリースでは、世界市場全体に対する関税の影響を取り上げ、地域別の市場調整について紹介します。当社の予測は、過去のデータと進化する市場影響要因に基づいています。

2025年7月:最終関税リセット

お客様には、各国間で最終リセットが発表された後、7月に無料アップデート版をお届けします。最終アップデート版には、明確に定義された関税影響分析が組み込まれています。

相互および二国間貿易と関税の影響分析:

アメリカ <>中国<>メキシコ <>カナダ <>EU <>日本<>インド <>その他176カ国

業界をリードするエコノミスト:Global Industry Analystsの知識ベースは、国家、シンクタンク、貿易・業界団体、大企業、そして世界の計量経済状況におけるこの前例のないパラダイムシフトの影響を共有する領域の専門家など、最も影響力のあるチーフエコノミストを含む1万4,949人のエコノミストを追跡しています。当社の16,491を超えるレポートのほとんどは、マイルストーンに基づくこの2段階のリリーススケジュールを取り入れています。

目次

第1章 調査手法

第2章 エグゼクティブサマリー

  • 市場概要
  • 主要企業
  • 市場動向と促進要因
  • 世界市場の見通し

第3章 市場分析

  • 米国
  • カナダ
  • 日本
  • 中国
  • 欧州
  • フランス
  • ドイツ
  • イタリア
  • 英国
  • その他欧州
  • アジア太平洋
  • その他の地域

第4章 競合

目次
Product Code: MCP35312

Global Machine Learning Model Operationalization Market to Reach US$18.7 Billion by 2030

The global market for Machine Learning Model Operationalization estimated at US$2.5 Billion in the year 2024, is expected to reach US$18.7 Billion by 2030, growing at a CAGR of 39.6% over the analysis period 2024-2030. Platform Component, one of the segments analyzed in the report, is expected to record a 43.4% CAGR and reach US$13.5 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 32.3% CAGR over the analysis period.

The U.S. Market is Estimated at US$662.7 Million While China is Forecast to Grow at 37.4% CAGR

The Machine Learning Model Operationalization market in the U.S. is estimated at US$662.7 Million in the year 2024. China, the world's second largest economy, is forecast to reach a projected market size of US$2.7 Billion by the year 2030 trailing a CAGR of 37.4% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 36.7% and 33.9% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 27.2% CAGR.

Global Machine Learning Model Operationalization Market - Key Trends & Drivers Summarized

Why Is Model Operationalization Essential for Realizing Machine Learning Value?

Machine learning (ML) model operationalization-commonly referred to as MLOps-is the process of deploying, monitoring, and maintaining machine learning models in real-world production environments. While significant effort is invested in developing ML models, the true value of machine learning is realized only when these models can be scaled, integrated into enterprise workflows, and continuously improved post-deployment. Operationalization ensures that data science outputs transition from experimental prototypes to reliable, maintainable business applications.

Organizations across finance, healthcare, retail, and manufacturing are increasingly investing in operationalization pipelines to manage the full ML lifecycle, from model training and validation to deployment, monitoring, retraining, and governance. As businesses adopt more AI-driven decision-making, the need for reproducibility, transparency, and governance is intensifying. Operationalization addresses these needs by enabling model versioning, drift detection, performance tracking, and security compliance-ensuring machine learning efforts are sustainable and scalable.

How Are Tools and Platforms Enhancing Automation, Monitoring, and Model Reliability?

The MLOps ecosystem is rapidly evolving with the emergence of specialized tools for model deployment, orchestration, monitoring, and feedback loops. Cloud-native platforms like AWS SageMaker, Azure ML, and Google Vertex AI are integrating DevOps principles into ML workflows, enabling seamless model packaging, containerization, and CI/CD for ML. Open-source frameworks such as MLflow, Kubeflow, and DVC are empowering data scientists and ML engineers to automate deployment pipelines, manage metadata, and control model lineage.

Monitoring platforms now offer real-time dashboards that track input data drift, feature distribution anomalies, and performance degradation in live environments. Triggered retraining and automated rollback capabilities are being incorporated to minimize risk and maintain accuracy. These tools ensure that models continue to generate reliable outputs as input data evolves-addressing the core challenges of concept drift and production reliability.

Which Industries Are Driving Demand for ML Model Operationalization?

Financial institutions are at the forefront of model operationalization, using ML for fraud detection, credit scoring, and algorithmic trading-where model accuracy, explainability, and compliance are mission-critical. Healthcare providers and insurers use MLOps for diagnostic support, patient outcome prediction, and claims automation, requiring strict data privacy, validation, and ethical oversight. In retail and e-commerce, operationalized models drive personalized recommendations, demand forecasting, and pricing optimization.

Manufacturing and logistics companies are integrating ML into predictive maintenance, inventory optimization, and supply chain risk assessment. Government and defense agencies are operationalizing ML for threat detection, intelligence analysis, and resource planning. Across all sectors, operationalization enables organizations to leverage ML not just as an R&D function but as a core operational asset.

What Is Driving Growth in the Machine Learning Model Operationalization Market Globally?

The growth in the machine learning model operationalization market is driven by the rising complexity of AI applications, the need for real-time decision systems, and the demand for scalable and auditable ML deployment. A core driver is the increasing maturity of enterprise AI strategies, where operationalization is required to extract ROI from data science investments. Regulatory frameworks such as GDPR, HIPAA, and the EU AI Act are also pushing organizations to implement traceable and compliant ML workflows.

Toolchain integration, cloud computing adoption, and the shift to AI-first business models are further accelerating the need for robust, repeatable model management. As AI use cases expand across industries, the operationalization of models will be critical to maintaining reliability, accountability, and scalability in dynamic real-world environments-making it one of the most strategically important segments of the broader AI ecosystem.

SCOPE OF STUDY:

The report analyzes the Machine Learning Model Operationalization market in terms of units by the following Segments, and Geographic Regions/Countries:

Segments:

Component (Platform, Services); Deployment (Cloud, On-Premise); Vertical (BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce, Government & Defense, Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals)

Geographic Regions/Countries:

World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; and Rest of Europe); Asia-Pacific; Rest of World.

Select Competitors (Total 36 Featured) -

  • Aible
  • Algorithmia
  • Amazon Web Services
  • Azilen Technologies
  • Cloudera
  • Dataiku
  • DataRobot
  • Domino Data Lab
  • Google Cloud (Vertex AI)
  • H2O.ai
  • IBM
  • Informatica
  • Microsoft Azure ML
  • ModelOp
  • Neptune.ai
  • Oracle
  • RapidMiner
  • SAS
  • Seldon
  • Tecton

TARIFF IMPACT FACTOR

Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.

We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.

We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.

As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.

To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!

APRIL 2025: NEGOTIATION PHASE

Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.

JULY 2025 FINAL TARIFF RESET

Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.

Reciprocal and Bilateral Trade & Tariff Impact Analyses:

USA <> CHINA <> MEXICO <> CANADA <> EU <> JAPAN <> INDIA <> 176 OTHER COUNTRIES.

Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.

COMPLIMENTARY PREVIEW

Contact your sales agent to request an online 300+ page complimentary preview of this research project. Our preview will present full stack sources, and validated domain expert data transcripts. Deep dive into our interactive data-driven online platform.

TABLE OF CONTENTS

I. METHODOLOGY

II. EXECUTIVE SUMMARY

  • 1. MARKET OVERVIEW
    • Influencer Market Insights
    • World Market Trajectories
    • Tariff Impact on Global Supply Chain Patterns
    • Machine Learning Model Operationalization - Global Key Competitors Percentage Market Share in 2025 (E)
    • Competitive Market Presence - Strong/Active/Niche/Trivial for Players Worldwide in 2025 (E)
  • 2. FOCUS ON SELECT PLAYERS
  • 3. MARKET TRENDS & DRIVERS
    • Rising Enterprise Demand for Scalable AI Deployments Drives Investment in Machine Learning Model Operationalization Platforms
    • Growth in Model-to-Production Timelines Fuels Need for Streamlined ML Ops and Continuous Integration Pipelines
    • Push for Real-Time Decisioning and Data-Driven Workflows Strengthens Business Case for Automated ML Model Deployment
    • Integration of CI/CD Principles Into Data Science Practices Accelerates Adoption of End-to-End ML Operationalization
    • Increased Use of Containerization and Microservices Enhances Scalability and Portability of Deployed ML Models
    • Demand for Model Monitoring and Drift Detection Tools Supports Lifecycle Management of Operationalized AI Solutions
    • Growth in Regulated Industries Like Finance and Healthcare Spurs Development of Auditable ML Operational Pipelines
    • Adoption of Feature Store Architectures Standardizes Data Pipelines and Enables Efficient Model Reuse
    • Rising Complexity of ML Ecosystems Highlights Need for Unified Governance and Orchestration Platforms
    • OEMs and Cloud Providers Expand PaaS Offerings to Simplify ML Model Deployment and Maintenance
    • Push for Business-Centric AI Outcomes Drives Convergence of Data Science, DevOps, and IT Operations in ML Ops
    • Growing Use of Explainable AI (XAI) Enhances Transparency and Trust in Operationalized Machine Learning Models
  • 4. GLOBAL MARKET PERSPECTIVE
    • TABLE 1: World Machine Learning Model Operationalization Market Analysis of Annual Sales in US$ Million for Years 2015 through 2030
    • TABLE 2: World Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 3: World 6-Year Perspective for Machine Learning Model Operationalization by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets for Years 2025 & 2030
    • TABLE 4: World Recent Past, Current & Future Analysis for Platform by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 5: World 6-Year Perspective for Platform by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 6: World Recent Past, Current & Future Analysis for Services by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 7: World 6-Year Perspective for Services by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 8: World Recent Past, Current & Future Analysis for Healthcare & Life Sciences by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 9: World 6-Year Perspective for Healthcare & Life Sciences by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 10: World Recent Past, Current & Future Analysis for Telecom by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 11: World 6-Year Perspective for Telecom by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 12: World Recent Past, Current & Future Analysis for Energy & Utilities by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 13: World 6-Year Perspective for Energy & Utilities by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 14: World Recent Past, Current & Future Analysis for Travel & Tourism by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 15: World 6-Year Perspective for Travel & Tourism by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 16: World Recent Past, Current & Future Analysis for Other Verticals by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 17: World 6-Year Perspective for Other Verticals by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 18: World Recent Past, Current & Future Analysis for BFSI by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 19: World 6-Year Perspective for BFSI by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 20: World Recent Past, Current & Future Analysis for IT & ITeS by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 21: World 6-Year Perspective for IT & ITeS by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 22: World Recent Past, Current & Future Analysis for Manufacturing by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 23: World 6-Year Perspective for Manufacturing by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 24: World Recent Past, Current & Future Analysis for Retail & E-Commerce by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 25: World 6-Year Perspective for Retail & E-Commerce by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 26: World Recent Past, Current & Future Analysis for Government & Defense by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 27: World 6-Year Perspective for Government & Defense by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 28: World Recent Past, Current & Future Analysis for Cloud by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 29: World 6-Year Perspective for Cloud by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030
    • TABLE 30: World Recent Past, Current & Future Analysis for On-Premise by Geographic Region - USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 31: World 6-Year Perspective for On-Premise by Geographic Region - Percentage Breakdown of Value Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of World for Years 2025 & 2030

III. MARKET ANALYSIS

  • UNITED STATES
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United States for 2025 (E)
    • TABLE 32: USA Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 33: USA 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 34: USA Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 35: USA 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 36: USA Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 37: USA 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • CANADA
    • TABLE 38: Canada Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 39: Canada 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 40: Canada Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 41: Canada 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 42: Canada Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 43: Canada 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • JAPAN
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Japan for 2025 (E)
    • TABLE 44: Japan Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 45: Japan 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 46: Japan Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 47: Japan 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 48: Japan Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 49: Japan 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • CHINA
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in China for 2025 (E)
    • TABLE 50: China Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 51: China 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 52: China Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 53: China 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 54: China Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 55: China 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • EUROPE
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Europe for 2025 (E)
    • TABLE 56: Europe Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Geographic Region - France, Germany, Italy, UK and Rest of Europe Markets - Independent Analysis of Annual Sales in US$ Million for Years 2024 through 2030 and % CAGR
    • TABLE 57: Europe 6-Year Perspective for Machine Learning Model Operationalization by Geographic Region - Percentage Breakdown of Value Sales for France, Germany, Italy, UK and Rest of Europe Markets for Years 2025 & 2030
    • TABLE 58: Europe Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 59: Europe 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 60: Europe Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 61: Europe 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 62: Europe Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 63: Europe 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • FRANCE
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in France for 2025 (E)
    • TABLE 64: France Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 65: France 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 66: France Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 67: France 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 68: France Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 69: France 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • GERMANY
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Germany for 2025 (E)
    • TABLE 70: Germany Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 71: Germany 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 72: Germany Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 73: Germany 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 74: Germany Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 75: Germany 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • ITALY
    • TABLE 76: Italy Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 77: Italy 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 78: Italy Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 79: Italy 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 80: Italy Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 81: Italy 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • UNITED KINGDOM
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in the United Kingdom for 2025 (E)
    • TABLE 82: UK Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 83: UK 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 84: UK Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 85: UK 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 86: UK Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 87: UK 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • REST OF EUROPE
    • TABLE 88: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 89: Rest of Europe 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 90: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 91: Rest of Europe 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 92: Rest of Europe Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 93: Rest of Europe 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • ASIA-PACIFIC
    • Machine Learning Model Operationalization Market Presence - Strong/Active/Niche/Trivial - Key Competitors in Asia-Pacific for 2025 (E)
    • TABLE 94: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 95: Asia-Pacific 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 96: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 97: Asia-Pacific 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 98: Asia-Pacific Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 99: Asia-Pacific 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030
  • REST OF WORLD
    • TABLE 100: Rest of World Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Component - Platform and Services - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 101: Rest of World 6-Year Perspective for Machine Learning Model Operationalization by Component - Percentage Breakdown of Value Sales for Platform and Services for the Years 2025 & 2030
    • TABLE 102: Rest of World Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Vertical - Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 103: Rest of World 6-Year Perspective for Machine Learning Model Operationalization by Vertical - Percentage Breakdown of Value Sales for Healthcare & Life Sciences, Telecom, Energy & Utilities, Travel & Tourism, Other Verticals, BFSI, IT & ITeS, Manufacturing, Retail & E-Commerce and Government & Defense for the Years 2025 & 2030
    • TABLE 104: Rest of World Recent Past, Current & Future Analysis for Machine Learning Model Operationalization by Deployment - Cloud and On-Premise - Independent Analysis of Annual Sales in US$ Million for the Years 2024 through 2030 and % CAGR
    • TABLE 105: Rest of World 6-Year Perspective for Machine Learning Model Operationalization by Deployment - Percentage Breakdown of Value Sales for Cloud and On-Premise for the Years 2025 & 2030

IV. COMPETITION