封面
市场调查报告书
商品编码
1527819

机器学习市场规模、份额和成长分析:按组件、按部署、按企业规模、按最终用户、按地区 - 行业预测,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个工作天内

价格
简介目录

2022年全球机器学习市场规模将达到358亿美元,预测期内(2024-2031年)复合年增长率为34.20%,从2023年的480.4亿美元增长到2031年的480.4亿美元。 5054.2亿美元。

机器学习 (ML) 是人工智慧 (AI) 的一个子集,它允许软体透过分析过去的资料来预测未来的结果,从而在没有明确指令的情况下更准确地预测结果。随着机器学习在安全分析中变得越来越重要,特别是随着企业采用更先进的安全框架,全球机器学习市场预计将会成长。透过网路产生和传输的大量资料对网路专业人员侦测和分析潜在威胁提出了挑战。例如,IBM 和全英草地网球俱乐部将透过 IBM Cloud 和混合云技术利用 AI,引入新的数位功能,例如 IBM Power Index with Watson 和 IBM Match Insights with Watson,从而增强温布顿体验。间的互动。随着网路风险变得更加复杂,美国的供应链攻击增加了 42%,受影响人数高达 700 万人,机器学习演算法为预测、侦测和回应网路威胁提供了关键支援。 AT&T 和 IBM 透过虚拟环境展示 5G 和边缘运算的潜力,使企业能够利用 AT&T 连接和 IBM 的混合云和人工智慧技术来解决供应链问题、网路威胁、勒索软体等。诸如5G时代无缝服务的需求。此次合作预计将推动全球机器学习市场的成长。

目录

介绍

  • 研究目的
  • 定义
  • 市场范围

调查方法

  • 资讯采购
  • 次要/一级资讯来源
  • 市场规模预测
  • 市场假设与限制

执行摘要

  • 市场概况展望
  • 供需趋势分析
  • 按细分市场的机会分析

市场动态及展望

  • 市场动态
    • 促进因素
    • 机会
    • 抑制因素
    • 任务
  • 波特的分析

主要市场考察

  • 技术分析
  • 价值链分析
  • 案例研究分析
  • Start-Ups分析
  • 市场生态系统
  • 监管环境
  • 创新矩阵
  • 重点投资分析
  • 关键成功因素
  • 市场魅力指数
  • 竞争程度

机器学习市场:按组成部分

  • 市场概况
  • 解决方案
  • 服务
    • 专业服务
    • 託管服务

机器学习市场:依部署模式

  • 市场概况
  • 本地

机器学习市场:依公司规模划分

  • 市场概况
  • 小型企业
  • 大公司

机器学习市场:依产业模式

  • 市场概况
  • BFSI
    • 诈欺/风险管理
    • 客户区隔
    • 销售和行销宣传活动管理
    • 投资预测
    • 数位援助
    • 其他的
  • 医疗保健/生命科学
    • 疾病识别/诊断
    • 影像分析
    • 个人化治疗
    • 药物发现/製造
    • 其他的
  • 零售
    • 库存计划
    • 推荐发动机
    • 提升销售/跨通路行销
    • 细分/定位
    • 其他的
  • 通讯
    • 客户分析
    • 网路安全
    • 网路最佳化
    • 其他的
  • 政府/国防
    • 自主防御系统
    • 威胁情报
    • 其他的
  • 製造业
    • 预测性维护
    • 收益预测
    • 需求预测
    • 供应链管理
    • 其他的
  • 能源/公共工程
    • 电力/能源使用分析
    • 地震资料处理
    • 碳排放
    • 智慧电网管理
    • 其他的
  • 汽车/交通
  • 广告媒体
  • 其他的

机器学习市场规模:按地区划分

  • 市场概况
  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 德国
    • 西班牙
    • 法国
    • 义大利
    • 英国
    • 其他欧洲国家地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 其他亚太地区
  • 拉丁美洲
    • 巴西
    • 其他拉丁美洲地区
  • 中东和非洲 (MEA)
    • 海湾合作委员会国家
    • 南非
    • 其他中东/非洲地区

竞争格局

  • 前5名企业对比
  • 主要企业市场定位(2023年)
  • 主要市场参与者所采取的策略
  • 近期市集活动
  • 主要企业市场占有率(2023年)

主要企业简介

  • 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)
简介目录
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