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商品編碼

1690043

機器學習市場規模、佔有率及成長分析（按組件、部署模式、組織規模、垂直產業和地區）－產業預測，2025 年至 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

出版日期: 2025年03月21日 | 出版商:

SkyQuest | 英文 157 Pages | 商品交期: 3-5個工作天內

價格

簡介目錄

預計 2023 年機器學習市場規模將達到 839 億美元，從 2024 年的 1,131 億美元成長到 2032 年的 12,330.2 億美元，預測期內（2025-2032 年）的複合年成長率為 34.8%。

由於自動化和先進技術的日益普及，全球機器學習市場預計將顯著成長。具有優勢功能的雲端基礎的平台的興起進一步推動了市場擴張。網路系統、整合記憶體解決方案和嵌入式 AI CPU 等關鍵組件正在推動市場需求。技術進步繼續成為機器學習及其在製造業、醫療保健、零售業和汽車業等不同行業中應用成長的主要催化劑。此外，機器學習框架和調查方法使企業能夠更快地解決複雜問題。為了應對 COVID-19 疫情，許多國家已經使用機器學習技術來評估社交隔離措施的影響。因此，預計市場將繼續經歷強勁的創新和應用開發。

市場概覽
在BFSI的應用
- 詐騙與風險管理
- 客戶區隔
- 銷售和行銷宣傳活動管理
- 投資預測
- 數位援助
- 其他
醫療保健和生命科學領域的應用
- 識別和診斷疾病
- 影像分析
- 個人化治療
- 藥物研發/製造
- 其他
零售應用
- 庫存計劃
- 推薦引擎
- 提升銷售和跨通路行銷
- 細分和定位
- 其他
通訊領域的應用
- 客戶分析
- 網路安全
- 網路最佳化
- 其他
政府和國防應用
- 自主防禦系統
- 威脅情報
- 其他
製造業的應用
- 預測性維護
- 收益預測
- 需求預測
- 供應鏈管理
- 其他
能源和公共應用
- 電力/能源使用分析
- 地震資料處理
- 碳排放
- 智慧電網管理
- 其他
其他用途

全球機器學習市場規模及複合年成長率（2025-2032）

北美洲
- 美國
- 加拿大
歐洲
- 德國
- 西班牙
- 法國
- 英國
- 義大利
- 其他歐洲國家
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 其他亞太地區
拉丁美洲
- 巴西
- 其他拉丁美洲
中東和非洲
- 海灣合作理事會國家
- 南非
- 其他中東和非洲地區

競爭資訊

前五大公司對比
主要企業市場定位（2024年）
主要市場參與者所採取的策略
近期市場趨勢
公司市場佔有率分析（2024年）
主要企業簡介
- 公司詳情
- 產品系列分析
- 公司分部佔有率分析
- 收益與前一年同期比較對比（2022-2024 年）

主要企業簡介

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）

結論和建議

簡介目錄

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.

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