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市场调查报告书
商品编码
1833499

2032 年人工智慧和机器学习预测分析市场预测：按组件、部署类型、组织规模、技术、应用、最终用户和地区进行的全球分析

AI & ML-powered Predictive Analytics Market Forecasts to 2032 - Global Analysis By Component (Solutions and Services), Deployment Mode, Organization Size, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球人工智慧和机器学习预测分析市场预计在 2025 年达到 222 亿美元，到 2032 年将达到 851 亿美元，预测期内的复合年增长率为 21.1%。

由人工智慧和机器学习驱动的预测分析是指利用人工智慧和机器学习演算法来分析历史和即时数据，识别模式并预测未来结果。这些技术透过实现自动化学习、自适应改进和对复杂资料集的更深入洞察，增强了传统的预测模型。其应用涵盖医疗保健、金融、零售和製造等行业，帮助企业预测客户行为、优化营运并降低风险。透过基于新数据不断改进预测，人工智慧和机器学习使企业能够以更高的准确性、速度和扩充性做出主动的数据主导决策，从而改变策略规划和竞争优势。

巨量资料爆炸

跨产业巨量资料的激增是人工智慧和机器学习驱动的预测分析市场的主要驱动力。企业正在从数位平台、物联网设备和企业系统产生大量结构化和非结构化资料。这种数据爆炸式增长需要先进的分析工具来提取有意义的洞察并预测趋势。人工智慧和机器学习技术能够实现即时处理和模式识别，帮助企业做出明智的决策，增强客户参与，并提高跨部门的营运效率。

实施成本高

高昂的实施成本是人工智慧和机器学习驱动的预测分析发展的一个重大限制。部署这些技术需要在基础设施、技术人员以及与现有系统的整合方面进行大量投资。中小企业通常面临预算限制，这限制了他们采用预测解决方案的能力。此外，持续的维护、软体升级和资料管理费用进一步增加了整体拥有成本，使企业难以有效且可持续地扩展其分析倡议。

供应链优化

供应链优化为基于人工智慧和机器学习的预测分析提供了重要机会。这些技术透过分析历史和即时数据，实现准确的需求预测、库存管理和物流规划，使企业能够主动应对中断、降低营运成本并提升交付绩效。随着全球供应链日益复杂，预测分析透过提高敏捷性、可视性和回应能力，提供了策略优势。正因如此，製造业、零售业和分销业正积极寻求提升竞争力和韧性。

资料隐私问题

资料隐私问题对市场构成了重大威胁。敏感的个人和企业资料的使用引发了道德和监管挑战，尤其是在《一般资料保护规范》(GDPR) 和《健康保险流通与责任法案》(HIPAA) 等框架下。组织必须实施强有力的资料管治和安全通讯协定，以防止资料外洩和滥用。不遵守规定可能会导致声誉受损和法律处罚。这些风险可能会阻碍资料的应用，尤其是在处理敏感资讯的行业，例如医疗保健、金融和政府机构。

COVID-19的影响：

新冠疫情对市场产生了重大影响。企业纷纷采用预测工具来管理不确定性、预测需求波动并优化劳动力规划。医疗保健系统利用分析技术追踪病毒传播并分配资源。然而，这场危机暴露了数据基础设施的缺口，并加速了数位转型。疫情过后，企业持续投资预测能力，以增强韧性、改善风险管理并适应不断变化的消费行为，巩固了分析作为核心策略资产的地位。

劳动力分析领域预计将成为预测期内最大的领域

由于对数据主导劳动力策略的需求不断增长，劳动力分析领域预计将在预测期内占据最大的市场份额。企业正在利用预测工具来加强招募、监控员工绩效并降低人员离职率。人工智慧和机器学习模型有助于预测劳动力趋势、优化人员配置并提高员工敬业度。随着企业优先考虑营运效率和员工社会福利，劳动力分析已成为一个关键的应用领域，推动了显着成长并促进了整体市场的扩张。

预测期内，机器学习将以最高的复合年增长率成长

预计机器学习领域将在预测期内实现最高成长率，因为机器学习演算法能够持续从数据中学习，提高预测准确性并实现复杂决策流程的自动化。各行各业正在采用机器学习进行诈欺侦测、客户行为建模、预测性维护和个人化行销。机器学习的可扩展性和适应性使其成为动态环境的理想选择。随着企业寻求智慧、即时的洞察，机器学习已成为成长最快的领域，并以其变革性能力重塑预测分析格局。

占比最大的地区：

预计亚太地区将在预测期内占据最大的市场份额，因为快速的数位化、不断扩大的工业基础以及政府的支持政策正在推动中国、印度和日本等主要国家的采用。该地区数据生态系统的成长，加上医疗保健、零售和製造业对即时洞察日益增长的需求，正在推动市场成长。亚太地区对创新和技术的战略重点使其成为分析领域的主导者。

复合年增长率最高的地区：

预计北美将在预测期内实现最高的复合年增长率，因为该地区受益于早期技术采用、强大的基础设施以及主要分析供应商的强大影响力。金融、医疗保健和行销领域对预测解决方案的旺盛需求将推动成长。监管支持和对人工智慧研究的投资将进一步推动市场扩张。北美对创新和数据主导决策的重视，正推动其在预测分析发展领域的领先地位。

提供免费客製化：

此报告的订阅者可以使用以下免费自订选项之一：

  • 公司简介
    • 对最多三家其他市场公司进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户兴趣对主要国家进行的市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买方的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

第五章 全球人工智慧和机器学习预测分析市场（按组件）

  • 解决方案
    • 资料探勘与资料管理
    • 统计建模工具
    • 视觉化和仪表板工具
  • 服务
    • 专业服务
    • 託管服务

第六章全球人工智慧和机器学习预测分析市场（按部署类型）

  • 本地部署
  • 云端基础
    • 公共云端
    • 私有云端
    • 混合云端

第七章 全球人工智慧和机器学习预测分析市场（按组织规模）

  • 小型企业
  • 大公司

第 8 章：全球 AI 和 ML 预测分析市场（按技术划分）

  • 机器学习
    • 监督学习
    • 无监督学习
    • 强化学习
  • 深度学习
  • 自然语言处理（NLP）
  • 电脑视觉
  • 巨量资料分析集成

第九章全球人工智慧和机器学习预测分析市场（按应用）

  • 风险管理和诈骗侦测
  • 客户和行销分析
  • 营运和供应链优化
  • 人力资源分析
  • 医疗保健和临床决策支援
  • 财务预测与规划
  • 预测性维护
  • 其他用途

第 10 章：全球 AI 和 ML 预测分析市场（按最终用户划分）

  • 银行、金融服务和保险（BFSI）
  • 医疗保健和生命科学
  • 零售与电子商务
  • 製造业
  • 资讯科技/通讯
  • 运输/物流
  • 能源与公共产业
  • 政府/国防
  • 其他最终用户

第 11 章全球基于人工智慧和机器学习的预测分析市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十二章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十三章：企业概况

  • IBM
  • DataRobot
  • Microsoft
  • HPE
  • Google
  • RapidMiner
  • Amazon Web Services（AWS）
  • Qlik
  • SAP
  • Alteryx
  • Oracle
  • TIBCO Software
  • SAS Institute
  • Teradata
  • Salesforce
Product Code: SMRC31332

According to Stratistics MRC, the Global AI & ML-powered Predictive Analytics Market is accounted for $22.2 billion in 2025 and is expected to reach $85.1 billion by 2032 growing at a CAGR of 21.1% during the forecast period. AI & ML-powered Predictive Analytics refers to the use of artificial intelligence and machine learning algorithms to analyze historical and real-time data, identify patterns, and forecast future outcomes. These technologies enhance traditional predictive models by enabling automated learning, adaptive improvements, and deeper insights across complex datasets. Applications span industries such as healthcare, finance, retail, and manufacturing, helping organizations anticipate customer behavior, optimize operations, and mitigate risks. By continuously refining predictions based on new data, AI and ML empower businesses to make proactive, data-driven decisions with greater accuracy, speed, and scalability, transforming strategic planning and competitive advantage.

Market Dynamics:

Driver:

Explosion of Big Data

The proliferation of big data across industries is a key driver of the AI & ML-powered Predictive Analytics Market. Organizations are generating vast volumes of structured and unstructured data from digital platforms, IoT devices, and enterprise systems. This data explosion necessitates advanced analytics tools to extract meaningful insights and forecast trends. AI and ML technologies enable real-time processing and pattern recognition, empowering businesses to make informed decisions, enhance customer engagement, and improve operational efficiency across sectors.

Restraint:

High Implementation Costs

High implementation costs pose a significant restraint to the growth of AI & ML-powered Predictive Analytics. Deploying these technologies requires substantial investment in infrastructure, skilled personnel, and integration with existing systems. Small and medium enterprises often struggle with budget constraints, limiting their ability to adopt predictive solutions. Additionally, ongoing maintenance, software upgrades, and data management expenses further increase the total cost of ownership, making it challenging for organizations to scale analytics initiatives effectively and sustainably.

Opportunity:

Supply Chain Optimization

Supply chain optimization presents a major opportunity for AI & ML-powered Predictive Analytics. These technologies enable accurate demand forecasting, inventory management, and logistics planning by analyzing historical and real-time data. Businesses can proactively address disruptions, reduce operational costs, and enhance delivery performance. As global supply chains become increasingly complex, predictive analytics offers a strategic advantage by improving agility, visibility, and responsiveness. This drives adoption across manufacturing, retail, and distribution sectors seeking competitive edge and resilience.

Threat:

Data Privacy Concerns

Data privacy concerns represent a critical threat to the market. The use of sensitive personal and enterprise data raises ethical and regulatory challenges, especially under frameworks like GDPR and HIPAA. Organizations must implement robust data governance and security protocols to prevent breaches and misuse. Failure to comply can result in reputational damage and legal penalties. These risks may deter adoption, particularly in sectors handling confidential information, such as healthcare, finance, and government.

Covid-19 Impact:

The Covid-19 pandemic significantly influenced the market. Organizations turned to predictive tools to manage uncertainty, forecast demand fluctuations, and optimize workforce planning. Healthcare systems used analytics to track virus spread and allocate resources. However, the crisis also exposed gaps in data infrastructure and accelerated digital transformation. Post-pandemic, businesses continue investing in predictive capabilities to build resilience, improve risk management, and adapt to evolving consumer behavior, solidifying analytics as a core strategic asset.

The workforce analytics segment is expected to be the largest during the forecast period

The workforce analytics segment is expected to account for the largest market share during the forecast period due to rising demand for data-driven human resource strategies. Organizations are leveraging predictive tools to enhance recruitment, monitor employee performance, and reduce turnover. AI & ML models help forecast workforce trends, optimize talent allocation, and improve engagement. As companies prioritize operational efficiency and employee well-being, workforce analytics becomes a vital application area, driving significant growth and contributing to overall market expansion.

The machine learning segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the machine learning segment is predicted to witness the highest growth rate as ML algorithms continuously learn from data, improving prediction accuracy and automating complex decision-making processes. Industries are adopting ML for fraud detection, customer behavior modeling, predictive maintenance, and personalized marketing. Its scalability and adaptability make it ideal for dynamic environments. As businesses seek intelligent, real-time insights, machine learning emerges as the fastest-growing segment, reshaping the predictive analytics landscape with transformative capabilities.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rapid digitalization, expanding industrial base, and supportive government initiatives drive adoption across key economies like China, India, and Japan. The region's growing data ecosystem, coupled with increasing demand for real-time insights in healthcare, retail, and manufacturing, fuels market growth. Asia Pacific's strategic focus on innovation and technology positions it as a dominant force in analytics.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR owing to region benefits from early technology adoption, strong infrastructure, and a robust presence of leading analytics vendors. High demand for predictive solutions in finance, healthcare, and marketing accelerates growth. Regulatory support and investment in AI research further enhance market expansion. North America's emphasis on innovation and data-driven decision-making drives its leadership in predictive analytics development.

Key players in the market

Some of the key players in AI & ML-powered Predictive Analytics Market include IBM, DataRobot, Microsoft, HPE, Google, RapidMiner, Amazon Web Services (AWS), Qlik, SAP, Alteryx, Oracle, TIBCO Software, SAS Institute, Teradata and Salesforce.

Key Developments:

In January 2025, PwC and Microsoft have announced a strategic collaboration to transform industries through AI agents. This partnership aims to harness AI's potential to drive business value, enhance customer engagem ent, and streamline operations across various sectors.

In January 2025, Microsoft and OpenAI have expanded their strategic partnership to accelerate the next phase of artificial intelligence. This collaboration includes exclusive rights for Microsoft to utilize OpenAI's intellectual property in products like Copilot, ensuring customer's access to advanced AI models.

Components Covered:

  • Solutions
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Organization Sizes Covered:

  • Small & Medium Enterprises (SMEs)
  • Large Enterprises

Technologies Covered:

  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Computer Vision
  • Big Data Analytics Integration

Applications Covered:

  • Risk Management & Fraud Detection
  • Customer & Marketing Analytics
  • Operations & Supply Chain Optimization
  • Workforce Analytics
  • Healthcare & Clinical Decision Support
  • Financial Forecasting & Planning
  • Predictive Maintenance
  • Other Applications

End Users Covered:

  • Banking, Financial Services & Insurance (BFSI)
  • Healthcare & Life Sciences
  • Retail & E-commerce
  • Manufacturing
  • IT & Telecommunications
  • Transportation & Logistics
  • Energy & Utilities
  • Government & Defense
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global AI & ML-powered Predictive Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Data Mining & Data Management
    • 5.2.2 Statistical Modeling Tools
    • 5.2.3 Visualization & Dashboarding Tools
  • 5.3 Services
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services

6 Global AI & ML-powered Predictive Analytics Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud-Based
    • 6.3.1 Public Cloud
    • 6.3.2 Private Cloud
    • 6.3.3 Hybrid Cloud

7 Global AI & ML-powered Predictive Analytics Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small & Medium Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global AI & ML-powered Predictive Analytics Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning
    • 8.2.1 Supervised Learning
    • 8.2.2 Unsupervised Learning
    • 8.2.3 Reinforcement Learning
  • 8.3 Deep Learning
  • 8.4 Natural Language Processing (NLP)
  • 8.5 Computer Vision
  • 8.6 Big Data Analytics Integration

9 Global AI & ML-powered Predictive Analytics Market, By Application

  • 9.1 Introduction
  • 9.2 Risk Management & Fraud Detection
  • 9.3 Customer & Marketing Analytics
  • 9.4 Operations & Supply Chain Optimization
  • 9.5 Workforce Analytics
  • 9.6 Healthcare & Clinical Decision Support
  • 9.7 Financial Forecasting & Planning
  • 9.8 Predictive Maintenance
  • 9.9 Other Applications

10 Global AI & ML-powered Predictive Analytics Market, By End User

  • 10.1 Introduction
  • 10.2 Banking, Financial Services & Insurance (BFSI)
  • 10.3 Healthcare & Life Sciences
  • 10.4 Retail & E-commerce
  • 10.5 Manufacturing
  • 10.6 IT & Telecommunications
  • 10.7 Transportation & Logistics
  • 10.8 Energy & Utilities
  • 10.9 Government & Defense
  • 10.10 Other End Users

11 Global AI & ML-powered Predictive Analytics Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 IBM
  • 13.2 DataRobot
  • 13.3 Microsoft
  • 13.4 HPE
  • 13.5 Google
  • 13.6 RapidMiner
  • 13.7 Amazon Web Services (AWS)
  • 13.8 Qlik
  • 13.9 SAP
  • 13.10 Alteryx
  • 13.11 Oracle
  • 13.12 TIBCO Software
  • 13.13 SAS Institute
  • 13.14 Teradata
  • 13.15 Salesforce

List of Tables

  • Table 1 Global AI & ML-powered Predictive Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global AI & ML-powered Predictive Analytics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global AI & ML-powered Predictive Analytics Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global AI & ML-powered Predictive Analytics Market Outlook, By Data Mining & Data Management (2024-2032) ($MN)
  • Table 5 Global AI & ML-powered Predictive Analytics Market Outlook, By Statistical Modeling Tools (2024-2032) ($MN)
  • Table 6 Global AI & ML-powered Predictive Analytics Market Outlook, By Visualization & Dashboarding Tools (2024-2032) ($MN)
  • Table 7 Global AI & ML-powered Predictive Analytics Market Outlook, By Services (2024-2032) ($MN)
  • Table 8 Global AI & ML-powered Predictive Analytics Market Outlook, By Professional Services (2024-2032) ($MN)
  • Table 9 Global AI & ML-powered Predictive Analytics Market Outlook, By Managed Services (2024-2032) ($MN)
  • Table 10 Global AI & ML-powered Predictive Analytics Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 11 Global AI & ML-powered Predictive Analytics Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 12 Global AI & ML-powered Predictive Analytics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 13 Global AI & ML-powered Predictive Analytics Market Outlook, By Public Cloud (2024-2032) ($MN)
  • Table 14 Global AI & ML-powered Predictive Analytics Market Outlook, By Private Cloud (2024-2032) ($MN)
  • Table 15 Global AI & ML-powered Predictive Analytics Market Outlook, By Hybrid Cloud (2024-2032) ($MN)
  • Table 16 Global AI & ML-powered Predictive Analytics Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 17 Global AI & ML-powered Predictive Analytics Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 18 Global AI & ML-powered Predictive Analytics Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 19 Global AI & ML-powered Predictive Analytics Market Outlook, By Technology (2024-2032) ($MN)
  • Table 20 Global AI & ML-powered Predictive Analytics Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 21 Global AI & ML-powered Predictive Analytics Market Outlook, By Supervised Learning (2024-2032) ($MN)
  • Table 22 Global AI & ML-powered Predictive Analytics Market Outlook, By Unsupervised Learning (2024-2032) ($MN)
  • Table 23 Global AI & ML-powered Predictive Analytics Market Outlook, By Reinforcement Learning (2024-2032) ($MN)
  • Table 24 Global AI & ML-powered Predictive Analytics Market Outlook, By Deep Learning (2024-2032) ($MN)
  • Table 25 Global AI & ML-powered Predictive Analytics Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 26 Global AI & ML-powered Predictive Analytics Market Outlook, By Computer Vision (2024-2032) ($MN)
  • Table 27 Global AI & ML-powered Predictive Analytics Market Outlook, By Big Data Analytics Integration (2024-2032) ($MN)
  • Table 28 Global AI & ML-powered Predictive Analytics Market Outlook, By Application (2024-2032) ($MN)
  • Table 29 Global AI & ML-powered Predictive Analytics Market Outlook, By Risk Management & Fraud Detection (2024-2032) ($MN)
  • Table 30 Global AI & ML-powered Predictive Analytics Market Outlook, By Customer & Marketing Analytics (2024-2032) ($MN)
  • Table 31 Global AI & ML-powered Predictive Analytics Market Outlook, By Operations & Supply Chain Optimization (2024-2032) ($MN)
  • Table 32 Global AI & ML-powered Predictive Analytics Market Outlook, By Workforce Analytics (2024-2032) ($MN)
  • Table 33 Global AI & ML-powered Predictive Analytics Market Outlook, By Healthcare & Clinical Decision Support (2024-2032) ($MN)
  • Table 34 Global AI & ML-powered Predictive Analytics Market Outlook, By Financial Forecasting & Planning (2024-2032) ($MN)
  • Table 35 Global AI & ML-powered Predictive Analytics Market Outlook, By Predictive Maintenance (2024-2032) ($MN)
  • Table 36 Global AI & ML-powered Predictive Analytics Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 37 Global AI & ML-powered Predictive Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 38 Global AI & ML-powered Predictive Analytics Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 39 Global AI & ML-powered Predictive Analytics Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 40 Global AI & ML-powered Predictive Analytics Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 41 Global AI & ML-powered Predictive Analytics Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 42 Global AI & ML-powered Predictive Analytics Market Outlook, By IT & Telecommunications (2024-2032) ($MN)
  • Table 43 Global AI & ML-powered Predictive Analytics Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 44 Global AI & ML-powered Predictive Analytics Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 45 Global AI & ML-powered Predictive Analytics Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 46 Global AI & ML-powered Predictive Analytics Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.