表紙:サービスとしての機械学習の市場規模、シェア、成長分析、コンポーネント別、組織規模別、用途別、エンドユーザー別、地域別 - 産業予測 2025-2032年
市場調査レポート
商品コード
1724880

サービスとしての機械学習の市場規模、シェア、成長分析、コンポーネント別、組織規模別、用途別、エンドユーザー別、地域別 - 産業予測 2025-2032年

Machine Learning as a Service Market Size, Share, and Growth Analysis, By Component (Solution, Services), By Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), By Application, By End User, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 189 Pages
納期
3~5営業日
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=144.91円
サービスとしての機械学習の市場規模、シェア、成長分析、コンポーネント別、組織規模別、用途別、エンドユーザー別、地域別 - 産業予測 2025-2032年
出版日: 2025年05月11日
発行: SkyQuest
ページ情報: 英文 189 Pages
納期: 3~5営業日
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  • 概要
  • 目次
概要

サービスとしての機械学習(MLaaS)の世界市場規模は、2023年に409億米ドルと評価され、2024年の568億9,000万米ドルから2032年には7,973億8,000万米ドルに成長し、予測期間(2025年~2032年)のCAGRは39.1%で成長する見通しです。

クラウドコンピューティングの急速な普及が、MLaaS業界の成長を大きく後押ししています。MLaaSは、スケーラブルで費用対効果の高いAIソリューションを提供することで、企業は高価なインフラや専門スキルの負担なしに複雑な機械学習モデルを導入することができます。主要なクラウドプロバイダーは、学習済みモデル、API、自動化ツールで常にサービスを強化し、開発プロセスを合理化しています。デジタルトランスフォーメーションが加速する中、ヘルスケアや金融など様々な分野の企業が、特に予測分析において、MLaaSを活用して業務を自動化し、データ主導の意思決定を行っています。この機能により、企業は膨大な量のデータを分析し、顧客行動、リスク管理、パーソナライズされたマーケティングに関する洞察を得ることができ、効率性の向上、リスクの低減、成長機会の創出を促進し、MLaaSの需要を高めています。

目次

イントロダクション

  • 調査の目的
  • 調査範囲
  • 定義

調査手法

  • 情報調達
  • 二次と一次データの方法
  • 市場規模予測
  • 市場の前提条件と制限

エグゼクティブサマリー

  • 世界市場の見通し
  • 供給と需要の動向分析
  • セグメント別機会分析

市場力学と見通し

  • 市場概要
  • 市場規模
  • 市場力学
    • 促進要因と機会
    • 抑制要因と課題
  • ポーターの分析

主な市場の考察

  • 重要成功要因
  • 競合の程度
  • 主な投資機会
  • 市場エコシステム
  • 市場の魅力指数(2024年)
  • PESTEL分析
  • マクロ経済指標
  • バリューチェーン分析
  • 価格分析
  • 規制情勢
  • ケーススタディ
  • 技術分析

サービスとしての機械学習市場規模:コンポーネント別& CAGR(2025-2032)

  • 市場概要
  • ソリューション
  • サービス

サービスとしての機械学習市場規模:組織規模別& CAGR(2025-2032)

  • 市場概要
  • 中小企業
  • 大企業

サービスとしての機械学習市場規模:用途別& CAGR(2025-2032)

  • 市場概要
  • マーケティングと広告
  • 不正検出とリスク管理
  • コンピュータービジョン
  • セキュリティと監視
  • 予測分析
  • 自然言語処理
  • 拡張現実と仮想現実
  • その他

サービスとしての機械学習市場規模:エンドユーザー別& CAGR(2025-2032)

  • 市場概要
  • BFSI
  • IT・通信
  • 自動車
  • ヘルスケア
  • 航空宇宙・防衛
  • 小売り
  • 政府
  • その他

サービスとしての機械学習市場規模:地域別& CAGR(2025-2032)

  • 北米
    • 米国
    • カナダ
  • 欧州
    • ドイツ
    • スペイン
    • フランス
    • 英国
    • イタリア
    • その他欧州地域
  • アジア太平洋地域
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋地域
  • ラテンアメリカ
    • ブラジル
    • その他ラテンアメリカ地域
  • 中東・アフリカ
    • GCC諸国
    • 南アフリカ
    • その他中東・アフリカ

競合情報

  • 上位5社の比較
  • 主要企業の市場ポジショニング(2024年)
  • 主な市場企業が採用した戦略
  • 最近の市場動向
  • 企業の市場シェア分析(2024年)
  • 主要企業の企業プロファイル
    • 企業の詳細
    • 製品ポートフォリオ分析
    • 企業のセグメント別シェア分析
    • 収益の前年比比較(2022-2024年)

主要企業プロファイル

  • Microsoft Corporation(USA)
  • IBM Corporation(USA)
  • Google LLC(USA)
  • Amazon Web Services Inc.(USA)
  • SAS Institute Inc.(USA)
  • Hewlett Packard Enterprise Company(USA)
  • Yottamine Analytics LLC(USA)
  • BigML Inc.(USA)
  • Iflowsoft Solutions Inc.(USA)
  • MonkeyLearn Inc.(USA)
  • Sift Science Inc.(USA)
  • H2O.ai Inc.(USA)
  • Dataiku Ltd.(France/USA)
  • Uniphore(India/USA)
  • XenonStack(India/USA)
  • Seldon Technologies Ltd.(UK)
  • Mind Foundry(UK)
  • Conversica Inc.(USA)
  • Rapidops Inc.(USA)

結論と提言

目次
Product Code: SQMIG45A2603

Global Machine Learning as a Service Market size was valued at USD 40.9 billion in 2023 and is poised to grow from USD 56.89 billion in 2024 to USD 797.38 billion by 2032, growing at a CAGR of 39.1% during the forecast period (2025-2032).

The rapid adoption of cloud computing has significantly fueled the growth of the machine learning as a service (MLaaS) industry. By providing scalable and cost-effective AI solutions, MLaaS enables companies to deploy complex machine learning models without the burden of expensive infrastructure or specialized skills. Major cloud providers constantly enhance their offerings with pre-trained models, APIs, and automation tools, streamlining the development process. As digital transformation accelerates, businesses across various sectors, including healthcare and finance, are leveraging MLaaS to automate operations and make data-driven decisions, particularly in predictive analytics. This capability allows companies to analyze vast amounts of data for insights on customer behavior, risk management, and personalized marketing, driving increased efficiency, reducing risks, and creating growth opportunities, thereby boosting demand for MLaaS.

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

Global Machine Learning as a Service Market Segments Analysis

Global Machine Learning as a Service Market is segmented by Component, Organization Size, Application, End User and region. Based on Component, the market is segmented into Solution and Services. Based on Organization Size, the market is segmented into Small and Medium-Sized Enterprises and Large Enterprises. Based on Application, the market is segmented into Marketing & Advertising, Fraud Detection & Risk Management, Computer vision, Security & Surveillance, Predictive analytics, Natural Language Processing, Augmented & Virtual Reality and Others. Based on End User, the market is segmented into BFSI, IT & Telecom, Automotive, Healthcare, Aerospace & Defense, Retail, Government and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Global Machine Learning as a Service Market

The primary catalyst for the expansion of the global machine learning as a service (MLaaS) market is the increasing adoption of cloud technologies. The advantages provided by cloud platforms, such as scalable infrastructure, significant cost reductions, and ease of integration, are pivotal in propelling this growth. Moreover, MLaaS facilitates real-time analytics, automation, and predictive modeling, which are being embraced across various industries. This adoption not only fosters digital transformation but also enhances the accessibility of artificial intelligence, further accelerating the momentum of the MLaaS market on a global scale.

Restraints in the Global Machine Learning as a Service Market

A significant hurdle hindering the adoption of Machine Learning as a Service (MLaaS) is the opaque "black-box" characteristic of machine learning models, which complicates the interpretation of their decisions. This lack of transparency poses a concern, especially for industries such as finance and healthcare, where stakeholders are hesitant to fully trust AI-driven insights due to potential biases and the difficulty in understanding the rationale behind these conclusions. Consequently, this apprehension leads to a reluctance in integrating MLaaS into essential decision-making processes, ultimately impeding its widespread use in critical applications.

Market Trends of the Global Machine Learning as a Service Market

The Global Machine Learning as a Service (MLaaS) market is witnessing a significant transformation, driven by the increasing demand for no-code and low-code ML solutions that empower organizations to implement AI models effortlessly. Major vendors like Google Cloud AI and Microsoft Azure are enhancing their user-friendly platforms, facilitating AI adoption across various sectors. This trend reflects a broader shift towards democratizing machine learning technology, as businesses seek to leverage AI capabilities without requiring extensive programming skills. Consequently, the market is expected to grow robustly, as reduced technical barriers and faster deployment times accelerate the integration of AI into diverse applications.

Table of Contents

Introduction

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

Research Methodology

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

Executive Summary

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

Market Dynamics & Outlook

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

Key Market Insights

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

Global Machine Learning as a Service Market Size by Component & CAGR (2025-2032)

  • Market Overview
  • Solution
  • Services

Global Machine Learning as a Service Market Size by Organization Size & CAGR (2025-2032)

  • Market Overview
  • Small and Medium-Sized Enterprises
  • Large Enterprises

Global Machine Learning as a Service Market Size by Application & CAGR (2025-2032)

  • Market Overview
  • Marketing & Advertising
  • Fraud Detection & Risk Management
  • Computer vision
  • Security & Surveillance
  • Predictive analytics
  • Natural Language Processing
  • Augmented & Virtual Reality
  • Others

Global Machine Learning as a Service Market Size by End User & CAGR (2025-2032)

  • Market Overview
  • BFSI
  • IT & Telecom
  • Automotive
  • Healthcare
  • Aerospace & Defense
  • Retail
  • Government
  • Others

Global Machine Learning as a Service Market Size & CAGR (2025-2032)

  • North America (Component, Organization Size, Application, End User)
    • US
    • Canada
  • Europe (Component, Organization Size, Application, End User)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Organization Size, Application, End User)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Organization Size, Application, End User)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Organization Size, Application, End User)
    • GCC Countries
    • South Africa
    • Rest of Middle East & Africa

Competitive Intelligence

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

Key Company Profiles

  • Microsoft Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hewlett Packard Enterprise Company (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Yottamine Analytics LLC (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BigML Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Iflowsoft Solutions Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • MonkeyLearn Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Sift Science Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • H2O.ai Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Dataiku Ltd. (France/USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Uniphore (India/USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • XenonStack (India/USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Seldon Technologies Ltd. (UK)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Mind Foundry (UK)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Conversica Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Rapidops Inc. (USA)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations