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市場調查報告書
商品編碼
1527819

機器學習市場規模、佔有率和成長分析:按組件、按部署、按企業規模、按最終用戶、按地區 - 行業預測,2024-2031 年

Machine Learning Market Size, Share, Growth Analysis, By Component, By Deployment, By Enterprise Size, By End User, By Region - Industry Forecast 2024-2031

出版日期: | 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

2022年全球機器學習市場規模將達到358億美元,預測期內(2024-2031年)複合年成長率為34.20%,從2023年的480.4億美元成長到2031年的5054.2億美元。

機器學習 (ML) 是人工智慧 (AI) 的一個子集,它允許軟體透過分析過去的資料來預測未來的結果,從而在沒有明確指令的情況下更準確地預測結果。隨著機器學習在安全分析中變得越來越重要,特別是隨著企業採用更先進的安全框架,全球機器學習市場預計將會成長。透過網路產生和傳輸的大量資料對網路專業人員偵測和分析潛在威脅提出了挑戰。例如,IBM 和全英草地網球俱樂部將透過 IBM Cloud 和混合雲端技術利用 AI,引入新的數位功能,例如 IBM Power Index with Watson 和 IBM Match Insights with Watson,從而增強溫布頓體驗。間的互動。隨著網路風險變得更加複雜,美國的供應鏈攻擊增加了 42%,受影響人數高達 700 萬人,機器學習演算法為預測、偵測和回應網路威脅提供了關鍵支援。 AT&T 和 IBM 透過虛擬環境展示 5G 和邊緣運算的潛力,使企業能夠利用 AT&T 連接和 IBM 的混合雲和人工智慧技術來解決供應鏈問題、網路威脅、勒索軟體等。諸如5G時代無縫服務的需求。此次合作預計將推動全球機器學習市場的成長。

目錄

介紹

  • 研究目的
  • 定義
  • 市場範圍

調查方法

  • 資訊採購
  • 次要/一級資訊來源
  • 市場規模預測
  • 市場假設與限制

執行摘要

  • 市場概況展望
  • 供需趨勢分析
  • 按細分市場的機會分析

市場動態及展望

  • 市場動態
    • 促進因素
    • 機會
    • 抑制因素
    • 任務
  • 波特的分析

主要市場考察

  • 技術分析
  • 價值鏈分析
  • 案例研究分析
  • Start-Ups分析
  • 市場生態系統
  • 監管環境
  • 創新矩陣
  • 重點投資分析
  • 關鍵成功因素
  • 市場魅力指數
  • 競爭程度

機器學習市場:按組成部分

  • 市場概況
  • 解決方案
  • 服務
    • 專業服務
    • 託管服務

機器學習市場:依部署模式

  • 市場概況
  • 本地

機器學習市場:依公司規模分類

  • 市場概況
  • 小型企業
  • 主要企業

機器學習市場:依產業模式

  • 市場概況
  • BFSI
    • 詐欺/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/生命科學
    • 疾病識別/診斷
    • 影像分析
    • 個人化治療
    • 藥物發現/製造
    • 其他
  • 零售
    • 庫存計劃
    • 推薦引擎
    • 提升銷售/跨通路行銷
    • 細分/定位
    • 其他
  • 通訊
    • 客戶分析
    • 網路安全
    • 網路最佳化
    • 其他
  • 政府/國防
    • 自主防禦系統
    • 威脅情報
    • 其他
  • 製造業
    • 預測性維護
    • 收益預測
    • 需求預測
    • 供應鏈管理
    • 其他
  • 能源/公共工程
    • 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
  • 汽車/交通
  • 廣告媒體
  • 其他

機器學習市場規模:按地區分類

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

競爭格局

  • 前5名企業對比
  • 主要企業市場定位(2023年)
  • 主要市場參與者所採取的策略
  • 近期市集活動
  • 主要企業市場佔有率(2023年)

主要企業簡介

  • IBM Corporation(US)
  • SAP SE(Germany)
  • Oracle Corporation(US)
  • Hewlett Packard Enterprise Company(US)
  • Microsoft Corporation(US)
  • Amazon, Inc.(US)
  • Intel Corporation(US)
  • Fair Isaac Corporation(US)
  • SAS Institute Inc.(US)
  • BigML, Inc.(US)
  • Google LLC(US)
  • Alphabet Inc.(US)
  • General Electric(US)
  • H2O.ai(US)
  • Freenome Holdings Inc.(US)
  • Baidu Inc.(China)
  • Ayasdi Inc.(US)
  • Salesforce.com Inc.(US)
  • DataRobot Inc.(US)
  • Big Panda Inc.(US)
簡介目錄
Product Code: SQMIG45D2080

Global Machine learning market size was valued at USD 35.80 billion in 2022 and is poised to grow from USD 48.04 billion in 2023 to USD 505.42 billion by 2031, growing at a CAGR of 34.20% in the forecast period (2024-2031).

Machine learning (ML), a subset of artificial intelligence (AI), enables software to predict outcomes with greater accuracy without explicit instructions by analyzing historical data to forecast future results. The global machine learning market is anticipated to grow as ML becomes increasingly significant in security analytics, particularly as businesses adopt more advanced security frameworks. The sheer volume of data generated and transmitted across networks challenges cyber specialists in detecting and analyzing potential threats. For example, IBM and the All-England Lawn Tennis Club have enhanced the Wimbledon experience by leveraging AI on IBM Cloud and hybrid cloud technologies, creating new digital features such as IBM Power Index with Watson and IBM Match Insights with Watson, which enrich fans' engagement with the tournament. With cyber risks becoming more complex and supply chain attacks rising by 42% in the US, impacting up to 7 million people, machine learning algorithms offer crucial support in anticipating, detecting, and addressing cyber threats. AT&T and IBM showcase the potential of 5G and edge computing through virtual environments, highlighting how businesses can leverage AT&T's connectivity and IBM's hybrid cloud and AI technologies to address current challenges, including supply chain issues, cyber threats, ransomware, and the demand for seamless services in the 5G era. This collaboration is expected to drive growth in the global machine learning market.

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

Global Machine Learning Market Segmental Analysis

Global machine learning market is segmented based on the component, enterprise size, deployment, end-user, and region. Based on the component, the market is segmented into solutions, and services (professional services, and managed services). Based on organization size, the market is segmented into SMEs and large enterprises. Based on deployment mode, the market is segmented into cloud and on-premise. Based on vertical, the market is segmented into BFSI (fraud and risk management, customer segmentation, sales and marketing campaign management, investment prediction, digital assistance, others), healthcare and life sciences (disease identification and diagnosis, image analytics, personalized treatment, drug discovery/manufacturing, others), retail (inventory planning, recommendation engines, upsells and cross channel marketing, segmentation and targeting, others), telecommunications (customer analytics, network security, network optimization, others), government and defense (autonomous defense system, threat intelligence, others), manufacturing (predictive maintenance, revenue estimation, demand forecasting, supply chain management, others), energy and utilities (power/energy usage analytics, seismic data processing, carbon emission, smart grid management, others), automotive & transportation, advertising & media, others. Based on region, the market is segmented into North America, Europe, Asia-Pacific, Latin America, and MEA.

Drivers of the Global Machine Learning Market

Computer vision, an advanced technique integrating machine learning (ML) and deep learning, is exemplified by initiatives like Microsoft's InnerEye, which focuses on image analysis for diagnostic purposes. An example of this technology's potential is an AI model developed by researchers from IBM and Pfizer, which can predict with 71% accuracy the future onset of Alzheimer's disease in healthy individuals. This prediction is based on small samples of linguistic data collected through clinical verbal cognition tests.

Restraints in the Global Machine Learning Market

The growth of the machine learning market is driven by the numerous benefits offered by ML platforms. However, certain critical shortcomings are expected to hinder market expansion. One major constraint is the presence of inaccurate or underdeveloped algorithms, which can impact the precision needed for industrial applications that rely on big data and machine learning. High accuracy is essential, and until systems are fully optimized with minimal error margins, human intervention remains necessary. This need for human input and the potential for algorithmic inaccuracies can limit the overall growth of the global machine learning market.

Market Trends of the Global Machine Learning Market

Machine learning is poised to become a key trend in security analytics as businesses adopt increasingly advanced security frameworks. With the vast amounts of data generated and transmitted across networks, cyber specialists face significant challenges in detecting and analyzing potential threats. As cyber risks become more pervasive and complex, machine learning algorithms play a crucial role in helping enterprises and security teams swiftly anticipate, detect, and identify cyber-attacks. Consequently, incorporating advanced learning capabilities into analytics-driven solutions is becoming increasingly vital.

Table of Contents

Introduction

  • Objectives of the Study
  • Definitions
  • Market Scope

Research Methodology

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

Executive Summary

  • Market Overview Outlook
  • Supply Demand Trend Analysis
  • Segmental Opportunity Analysis

Market Dynamics & Outlook

  • Market Dynamics
    • Drivers
    • Opportunities
    • Restraints
    • Challenges
  • Porters Analysis
    • Competitive rivalry
    • Threat of Substitute Products
    • Bargaining Power of Buyers
    • Threat of New Entrants
    • Bargaining Power of Suppliers

Key Market Insights

  • Technology Analysis
  • Value Chain Analysis
  • Case Study Analysis
  • Startup Analysis
  • Ecosystem of the Market
  • Regulatory Landscape
  • Innovation Matrix
  • Top Investment Analysis
  • Key Success Factor
  • Market Attractive Index
  • Degree of Competition

Machine Learning Market by Component

  • Market Overview
  • Solutions
  • Services
    • Professional Services
    • Managed Services

Machine Learning Market by Deployment Mode

  • Market Overview
  • Cloud
  • On-Premise

Machine Learning Market by Organization Size

  • Market Overview
  • SMEs
  • Large Enterprise

Machine Learning Market by Mode of Vertical

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

Machine Learning Market Size by Region

  • Market Overview
  • North America
    • USA
    • Canada
  • Europe
    • Germany
    • Spain
    • France
    • Italy
    • UK
    • Rest of Europe
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC Countries
    • South Africa
    • Rest of MEA

Competitive Landscape

  • Top 5 Player Comparison
  • Market Positioning of Key Players, 2023
  • Strategies Adopted by Key Market Players
  • Recent Activities in the Market
  • Key Companies Market Share (%), 2023

Key Company Profiles

  • IBM Corporation (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAP SE (Germany)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Oracle Corporation (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Hewlett Packard Enterprise Company (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Microsoft Corporation (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Amazon, Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Intel Corporation (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Fair Isaac Corporation (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • SAS Institute Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • BigML, Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Google LLC (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Alphabet Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • General Electric (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • H2O.ai (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Freenome Holdings Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Baidu Inc. (China)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Ayasdi Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Salesforce.com Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • DataRobot Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments
  • Big Panda Inc. (U.S.)
    • Company Overview
    • Business Segment Overview
    • Financial Updates
    • Key Developments