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市場調査レポート
商品コード
1690043

機械学習の市場規模、シェア、成長分析:コンポーネント別、展開モード別、組織規模別、業界別、地域別 - 産業予測、2025年~2032年

Machine Learning Market Size, Share, and Growth Analysis, By Component (Hardware, Software), By Deployment Mode (Cloud, On-Premises), By Organization Size, By Vertical, By Region - Industry Forecast 2025-2032


出版日
発行
SkyQuest
ページ情報
英文 157 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=146.99円
機械学習の市場規模、シェア、成長分析:コンポーネント別、展開モード別、組織規模別、業界別、地域別 - 産業予測、2025年~2032年
出版日: 2025年03月21日
発行: SkyQuest
ページ情報: 英文 157 Pages
納期: 3~5営業日
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  • 目次
概要

機械学習の市場規模は2023年に839億米ドルとなり、予測期間(2025年~2032年)のCAGRは34.8%で、2024年の1,131億米ドルから2032年までには1兆2,330億2,000万米ドルに成長する見通しです。

機械学習の世界市場は、自動化と先進技術の採用が増加しており、大きな成長が見込まれています。有利な機能を備えたクラウドベースのプラットフォームの台頭が、市場の拡大をさらに後押ししています。ネットワークシステム、統合メモリソリューション、AI内蔵CPUなどの主要コンポーネントが市場の需要を高めています。技術の進歩は、機械学習の成長と、製造、ヘルスケア、小売、自動車を含む多様な産業にわたるそのアプリケーションの主な触媒であり続けています。さらに、機械学習のフレームワークと調査手法により、企業は複雑な課題を迅速に解決できるようになります。COVID-19のパンデミックに対応して、多くの国が社会的距離の取り方の意味を評価するために機械学習の技術を利用しました。その結果、この市場はイノベーションとアプリケーション開発の勢いが続くと予想されます。

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

主要な市場の考察

  • 主要成功要因
  • 競合の程度
  • 主要な投資機会
  • 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
  • 技術分析
  • ケーススタディ

世界の機械学習の市場規模:コンポーネント別・CAGR(2025年~2032年)

  • 市場概要
  • ハードウェア
  • ソフトウェア
  • サービス
    • プロフェッショナルサービス
    • マネージドサービス

世界の機械学習の市場規模:展開モード別・CAGR(2025年~2032年)

  • 市場概要
  • クラウド
  • オンプレミス

世界の機械学習の市場規模:組織規模別・CAGR(2025年~2032年)

  • 市場概要
  • 大企業
  • 中小企業

世界の機械学習の市場規模:業界別・CAGR(2025年~2032年)

  • 市場概要
  • BFSIにおけるアプリケーション
    • 詐欺・リスク管理
    • 顧客セグメンテーション
    • セールス・マーケティングキャンペーン管理
    • 投資予測
    • デジタルアシスタンス
    • その他
  • ヘルスケアとライフサイエンスにおけるアプリケーション
    • 病気の特定と診断
    • 画像分析
    • パーソナライズされた治療
    • 医薬品の発見/製造
    • その他
  • 小売業におけるアプリケーション
    • 在庫計画
    • 推奨エンジン
    • アップセル・クロスチャネルマーケティング
    • セグメンテーション・ターゲティング
    • その他
  • 通信分野におけるアプリケーション
    • 顧客分析
    • ネットワークセキュリティ
    • ネットワーク最適化
    • その他
  • 政府・防衛におけるアプリケーション
    • 自律防衛システム
    • 脅威インテリジェンス
    • その他
  • 製造業におけるアプリケーション
    • 予測メンテナンス
    • 収益予測
    • 需要予測
    • サプライチェーンマネジメント
    • その他
  • エネルギー・公共事業におけるアプリケーション
    • 電力/エネルギー使用量分析
    • 地震データ処理
    • 炭素排出
    • スマートグリッド管理
    • その他
  • その他の用途

世界の機械学習の市場規模・CAGR(2025年~2032年)

  • 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
    • 中国
    • インド
    • 日本
    • 韓国
    • その他アジア太平洋
  • 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年~2024年)

主要企業プロファイル

  • Microsoft Corporation(US)
  • IBM Corporation(US)
  • SAP SE(Germany)
  • SAS Institute Inc.(US)
  • Google, Inc.(US)
  • Amazon Web Services Inc.(US)
  • Baidu, Inc.(China)
  • BigML, Inc.(US)
  • Hewlett Packard Enterprise Development LP(HPE)(US)
  • Intel Corporation(US)
  • KNIME.com AG(Switzerland)

結論と提言

目次
Product Code: SQMIG45D2080

Machine Learning Market size was valued at USD 83.9 billion in 2023 and is poised to grow from USD 113.1 billion in 2024 to USD 1233.02 billion by 2032, growing at a CAGR of 34.8% during the forecast period (2025-2032).

The global machine learning market is poised for significant growth, driven by the increasing adoption of automation and advanced technologies. The rise of cloud-based platforms, equipped with advantageous features, is further propelling market expansion. Key components such as networking systems, integrated memory solutions, and AI-embedded CPUs are enhancing market demand. Technological advancements remain the primary catalyst for the growth of machine learning and its applications across diverse industries, including manufacturing, healthcare, retail, and automotive. Furthermore, machine learning frameworks and methodologies are empowering businesses to resolve complex challenges swiftly. In response to the COVID-19 pandemic, many countries turned to machine learning techniques to assess the implications of social distancing measures. As a result, the market is expected to witness continued momentum in innovation and application development.

Top-down and bottom-up approaches were used to estimate and validate the size of the Machine Learning 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.

Machine Learning Market Segments Analysis

Global Machine Learning Market is segmented by Component, Deployment Mode, Organization Size, Vertical and region. Based on Component, the market is segmented into Hardware, Software and Services. Based on Deployment Mode, the market is segmented into Cloud and On-Premises. Based on Organization Size, the market is segmented into Large Enterprises and SMEs. Based on Vertical, the market is segmented into Applications in BFSI, Applications in Healthcare and Life Sciences, Application in Retail, Applications inTelecommunications, Applications in Government and Defense, Applications in Manufacturing, Applications in Energy and Utilities and Other Applications. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.

Driver of the Machine Learning Market

The machine learning market is primarily driven by the unprecedented surge in data generated from diverse sources like social media platforms, Internet of Things (IoT) devices, and various commercial activities. This influx of extensive datasets necessitates the application of advanced analytics and sophisticated algorithms to process the information and extract meaningful insights. Consequently, as an increasing number of organizations aim to leverage data for enhanced competitive advantage, the demand for machine learning solutions continues to grow, propelling market expansion. The ability to analyze and interpret vast amounts of data effectively is becoming crucial for businesses seeking to thrive in today's data-driven landscape.

Restraints in the Machine Learning Market

The machine learning market faces significant restraints due to the potential for biases in training data, which can be unintentionally reinforced or exacerbated by machine learning models. This raises critical concerns regarding fairness and ethical practices within the field. Consequently, the development and acceptance of these algorithms can become increasingly challenging, as there is a substantial effort required to identify and rectify these biases. Ensuring that machine learning models are impartial, transparent, and ethically sound is crucial, but navigating these complexities can hinder progress and innovation in the industry, ultimately impacting its growth and adoption across various sectors.

Market Trends of the Machine Learning Market

The machine learning market is experiencing significant growth as its influence expands across diverse industries, marking a pivotal shift towards data-driven decision-making. Organizations are increasingly adopting machine learning tools and platforms to harness insights from vast datasets, refine operational efficiency, and enhance customer experiences. This trend is propelled by advancements in algorithms, the proliferation of big data, and the accessibility of cloud-based machine learning solutions. Industries such as healthcare, finance, and retail are leading the adoption, leveraging machine learning for predictive analytics, fraud detection, and personalized marketing. As technology continues to evolve, we can expect accelerated investment and innovation within the machine learning landscape.

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
  • Technology Analysis
  • Case Studies

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

  • Market Overview
  • Hardware
  • Software
  • Services
    • Professional Services
    • Managed Services

Global Machine Learning Market Size by Deployment Mode & CAGR (2025-2032)

  • Market Overview
  • Cloud
  • On-Premises

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

  • Market Overview
  • Large Enterprises
  • SMEs

Global Machine Learning Market Size by Vertical & CAGR (2025-2032)

  • Market Overview
  • Applications in BFSI
    • Fraud and Risk Management
    • Customer Segmentation
    • Sales and Marketing Campaign Management
    • Investment Prediction
    • Digital Assistance
    • Others
  • Applications in Healthcare and Life Sciences
    • Disease Identification and Diagnosis
    • Image Analytics
    • Personalized Treatment
    • Drug Discovery/Manufacturing
    • Others
  • Application in Retail
    • Inventory Planning
    • Recommendation Engines
    • Upsells and Cross Channel Marketing
    • Segmentation and Targeting
    • Others
  • Applications in Telecommunications
    • Customer Analytics
    • Network Security
    • Network Optimization
    • Others
  • Applications in Government and Defense
    • Autonomous Defense System
    • Threat Intelligence
    • Others
  • Applications in Manufacturing
    • Predictive Maintenance
    • Revenue Estimation
    • Demand Forecasting
    • Supply Chain Management
    • Others
  • Applications in Energy and Utilities
    • Power/Energy Usage Analytics
    • Seismic Data Processing
    • Carbon Emission
    • Smart Grid Management
    • Others
  • Other Applications

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

  • North America (Component, Deployment Mode, Organization Size, Vertical)
    • US
    • Canada
  • Europe (Component, Deployment Mode, Organization Size, Vertical)
    • Germany
    • Spain
    • France
    • UK
    • Italy
    • Rest of Europe
  • Asia Pacific (Component, Deployment Mode, Organization Size, Vertical)
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America (Component, Deployment Mode, Organization Size, Vertical)
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (Component, Deployment Mode, Organization Size, Vertical)
    • 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 (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • IBM Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon Web Services Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Baidu, Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BigML, Inc. (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hewlett Packard Enterprise Development LP (HPE) (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (US)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • KNIME.com AG (Switzerland)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments

Conclusion & Recommendations