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市场调查报告书
商品编码
1876769

预测分析市场预测至2032年：按组件、部署类型、组织规模、技术、应用、最终用户和地区分類的全球分析

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 的一项研究，预计到 2025 年，全球预测分析市场价值将达到 246.1 亿美元，到 2032 年将达到 1569.5 亿美元，在预测期内的复合年增长率为 30.3%。

预测分析是将统计模型、历史资料和机器学习应用于预测未来趋势和事件。它使组织能够解读资料模式、预测结果并制定策略决策。预测分析广泛应用于医疗保健、金融和行销等行业，支援需求预测、风险管理、诈欺侦测和客户行为分析等领域。透过利用数据洞察，企业可以提升绩效、提高规划准确性并取得更佳的营运和策略成果。

该部落格称，92% 的高阶主管正在使用尖端的数位转型技术来改善消费者体验。

对数据驱动决策的需求日益增长

随着数位转型措施的激增，能够将原始数据转化为可执行洞察的先进工具的需求也日益增长。企业正在采用预测模型来预测消费行为、优化供应链并降低营运风险。在竞争日益激烈的环境中，数据驱动的决策正成为市场领导的关键差异化优势。云端运算和巨量资料平台的进步进一步加速了这一趋势。随着对分析的依赖性不断增强，预测解决方案正成为现代企业不可或缺的工具。

高昂的实施成本

小规模的组织难以分配预算用于高阶平台和专业的资料科学团队。与旧有系统的整合增加了复杂性，也耗费了时间和金钱。高昂的前期成本会减缓推广应用，尤其是在资源有限的新兴市场。持续的维护、升级和培训成本也会给组织带来负担。这些财务挑战仍然是约束预测分析解决方案广泛应用的主要阻碍因素。

人工智慧与机器学习（ML）的融合

先进的演算法能够实现更精准的预测、异常检测和个人化推荐。医疗保健、金融和零售等行业正在利用人工智慧驱动的预测模型来提高决策的准确性。云端基础平台让这些功能更容易取得，降低了进入门槛。自然语言处理和深度学习的持续创新正在拓展预测应用的范围。这种融合有望在多个领域带来变革性成果，并创造巨大的市场机会。

资料安全和隐私问题

企业必须遵守诸如 GDPR 和 CCPA 等严格的隐私法规，这使得资料处理实务变得更加复杂。日益增多的网路攻击凸显了分析平台的漏洞，并有可能削弱用户信任。为了降低风险，企业正在大力投资加密、存取控制和安全的云端环境。然而，如何在创新和合规之间取得平衡仍然是一项持续的挑战。如果没有强而有力的保障措施，隐私问题可能会阻碍科技的普及应用，并限制市场扩张。

新冠疫情的感染疾病：

各组织利用预测模型来预测需求波动、因应供应链中断并评估财务风险。医疗机构运用分析技术追踪感染趋势并优化资源分配。远距办公环境进一步加速了对云端基础预测平台的依赖。儘管部分产业面临预算限制，但此次危机凸显了数据驱动型韧性的价值。后疫情时代的策略强调敏捷性、自动化和预测性洞察，并将这些作为復苏计画的核心要素。

预计在预测期内，解决方案领域将占据最大的市场份额。

由于其全面的跨行业产品，解决方案领域预计将在预测期内占据最大的市场份额。企业正在加速采用整合资料管理、视觉化和预测功能的软体包解决方案。这些工具简化了决策流程，并减少了对人工分析的依赖。供应商正在透过人工智慧驱动的功能增强其解决方案，以提高准确性和便利性。云端基础方案的扩充性对大中小型企业都极具吸引力。

预计在预测期内，零售和电子商务领域的复合年增长率将最高。

预计零售和电子商务领域在预测期内将实现最高成长率。该领域的公司正在利用预测模型来预测需求、实现个人化行销并优化库存。网路购物的兴起加剧了竞争，促使零售商运用分析技术来客户维繫。先进的演算法有助于识别购买模式并改进建议引擎。与全通路平台的整合能够提升客户体验并提高销售绩效。

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。中国、印度和日本等国家的快速数位化正在推动对先进分析技术的需求。各国政府正大力投资智慧城市建设和数位基础设施，从而创造了有利的应用机会。该地区的企业正在加强对预测工具的采用力度，以提高竞争力和营运效率。全球供应商与当地企业之间的策略合作正在加速市场渗透。

复合年增长率最高的地区：

预计北美地区在预测期内将实现最高的复合年增长率。该地区受益于强大的技术领先地位和大规模的研发投入。各公司在人工智慧驱动的分析、云端平台和即时预测领域中主导创新。法规结构也十分有利，有助于先进解决方案的快速商业化。各公司正在将预测分析融入其核心业务，涵盖从医疗诊断到金融风险管理的各个领域。

免费客製化服务：

购买此报告的客户可以选择以下免费自订选项之一：

  • 公司概况
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 根据客户要求，对主要国家的市场规模进行估算和预测，併计算复合年增长率（註：可行性需确认）。
  • 竞争基准化分析
    • 根据主要企业的产品系列、地理覆盖范围和策略联盟基准化分析

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
    • 原始研究资料
    • 次级研究资讯来源
    • 先决条件

第三章 市场趋势分析

  • 介绍
  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 终端用户分析
  • 新兴市场
  • 新冠疫情的影响

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

5. 全球预测分析市场（按组件划分）

  • 介绍
  • 解决方案
    • 软体平台
    • 工具
  • 服务
    • 专业的
    • 管理

第六章：按部署类型分類的全球预测分析市场

  • 介绍
  • 本地部署
  • 云端基础的
  • 杂交种

7. 按组织规模分類的全球预测分析市场

  • 介绍
  • 大公司
  • 小型企业

8. 全球预测分析市场（依技术划分）

  • 介绍
  • 机器学习
  • 统计建模
  • 资料探勘
  • 巨量资料分析
  • 自然语言处理（NLP）

9. 全球预测分析市场（按应用划分）

  • 介绍
  • 风险管理和诈骗侦测
  • 医疗保健和临床决策支援
  • 客户和行销分析
  • 人力资源分析
  • 营运和供应链优化
  • 财务分析
  • 销售预测
  • 其他应用

第十章：全球预测分析市场（依最终用户划分）

  • 介绍
  • 银行、金融服务和保险（BFSI）
  • 运输/物流
  • 零售与电子商务
  • 政府和国防部
  • 医疗保健和生命科学
  • 能源与公共产业
  • 製造业
  • 通讯/IT

第十一章：全球预测分析市场（按地区划分）

  • 介绍
  • 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
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 亚太其他地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 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
  • 收购与併购
  • 新产品上市
  • 业务拓展
  • 其他关键策略

第十三章：企业概况

  • IBM
  • Google
  • Microsoft
  • Amazon Web Services（AWS）
  • SAP
  • HPE
  • Oracle
  • FICO
  • SAS Institute
  • RapidMiner
  • Tableau
  • Alteryx
  • TIBCO Software
  • Teradata
  • Qlik
Product Code: SMRC32430

According to Stratistics MRC, the Global Predictive Analytics Market is accounted for $24.61 billion in 2025 and is expected to reach $156.95 billion by 2032 growing at a CAGR of 30.3% during the forecast period. Predictive analytics involves applying statistical models, historical data, and machine learning to forecast future trends or events. It enables organizations to interpret data patterns, anticipate outcomes, and make strategic decisions. Commonly used across industries like healthcare, finance, and marketing, predictive analytics supports areas such as demand forecasting, risk management, fraud detection, and customer behavior analysis. By leveraging data insights, it empowers businesses to enhance performance, improve planning accuracy, and achieve better operational and strategic outcomes.

According to the blog, 92% of executives had used cutting-edge digital transformation techniques to improve their consumers' experiences.

Market Dynamics:

Driver:

Increasing demand for data-driven decision-making

The surge in digital transformation initiatives has amplified the need for advanced tools that can convert raw data into actionable insights. Businesses are adopting predictive models to anticipate consumer behavior, optimize supply chains, and reduce operational risks. As competition intensifies, data-driven decision-making is becoming a critical differentiator for market leaders. Improvements in cloud computing and big data platforms are further accelerating adoption. This growing reliance on analytics is positioning predictive solutions as indispensable for modern enterprises.

Restraint:

High implementation costs

Smaller organizations struggle to allocate budgets for advanced platforms and specialized data science teams. Integration with legacy systems adds complexity, increasing both time and financial commitments. High upfront costs can delay adoption, particularly in emerging markets with limited resources. Ongoing expenses for maintenance, upgrades, and training further burden organizations. These financial challenges remain a key restraint, slowing widespread deployment of predictive analytics solutions.

Opportunity:

Integration of AI and machine learning (ML)

Advanced algorithms enable more accurate forecasting, anomaly detection, and personalized recommendations. Industries such as healthcare, finance, and retail are leveraging AI-driven predictive models to enhance decision-making precision. Cloud-based platforms are making these capabilities more accessible, reducing barriers to entry. Continuous innovation in natural language processing and deep learning is expanding the scope of predictive applications. This integration is expected to drive transformative outcomes across multiple sectors, creating significant market opportunities.

Threat:

Data security and privacy concerns

Organizations must comply with stringent privacy regulations such as GDPR and CCPA, which complicate data handling practices. Rising cyberattacks highlight vulnerabilities in analytics platforms, undermining trust among users. Companies are investing heavily in encryption, access controls, and secure cloud environments to mitigate risks. However, balancing innovation with compliance remains a persistent challenge. Without robust safeguards, privacy concerns could hinder adoption and limit market expansion.

Covid-19 Impact:

Organizations used predictive models to forecast demand fluctuations, manage supply chain disruptions, and assess financial risks. Healthcare providers leveraged analytics to track infection trends and optimize resource allocation. Remote work environments further boosted reliance on cloud-based predictive platforms. While some industries faced budget constraints, the crisis underscored the value of data-driven resilience. Post-pandemic strategies now emphasize agility, automation, and predictive insights as core components of recovery planning.

The solutions segment is expected to be the largest during the forecast period

The solutions segment is expected to account for the largest market share during the forecast period, due to its comprehensive offerings across industries. Businesses are increasingly adopting packaged solutions that integrate data management, visualization, and forecasting capabilities. These tools streamline decision-making processes and reduce reliance on manual analysis. Vendors are enhancing solutions with AI-driven features to improve accuracy and usability. The scalability of cloud-based solutions makes them attractive to both large enterprises and SMEs.

The retail & e-commerce segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the retail & e-commerce segment is predicted to witness the highest growth rate. Companies in this sector are using predictive models to forecast demand, personalize marketing, and optimize inventory. The rise of online shopping has intensified competition, driving retailers to leverage analytics for customer retention. Advanced algorithms help identify purchasing patterns and improve recommendation engines. Integration with omnichannel platforms enhances customer experiences and boosts sales performance.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share. Rapid digitalization across countries like China, India, and Japan is fueling demand for advanced analytics. Governments are investing in smart city initiatives and digital infrastructure, creating fertile ground for adoption. Enterprises in the region are increasingly leveraging predictive tools to enhance competitiveness and efficiency. Strategic collaborations between global vendors and local firms are accelerating market penetration.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR. The region benefits from strong technological leadership and extensive R&D investments. Companies are pioneering innovations in AI-driven analytics, cloud platforms, and real-time forecasting. Regulatory frameworks are supportive, encouraging faster commercialization of advanced solutions. Enterprises are integrating predictive analytics into core operations, from healthcare diagnostics to financial risk management.

Key players in the market

Some of the key players in Predictive Analytics Market include IBM, Google, Microsoft, Amazon Web Services, SAP, HPE, Oracle, FICO, SAS Institute, RapidMiner, Tableau, Alteryx, TIBCO Software, Teradata, and Qlik.

Key Developments:

In November 2025, IBM and Web Summit today unveiled a new global sports-tech competition proposal. The Sports Tech Startup Challenge will spotlight startups using AI to revolutionize sports from athlete performance and stadium operations to fan engagement with regional events planned for Qatar, Vancouver, and Rio, culminating with global winners being selected during Web Summit Lisbon 2026. Participation will be subject to local laws and official rules to be published before each regional competition.

In October 2025, Oracle announced the latest capabilities added to Oracle Database@AWS to better support mission-critical enterprise workloads in the cloud. In addition, customers can now procure Oracle Database@AWS through qualified AWS and Oracle channel partners. This gives customers the flexibility to procure Oracle Database@AWS through their trusted partners and continue to innovate, modernize, and solve complex business problems in the cloud.

Components Covered:

  • Solutions
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid

Organization Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Technologies Covered:

  • Machine Learning
  • Statistical Modeling
  • Data Mining
  • Big Data Analytics
  • Natural Language Processing (NLP)

Applications Covered:

  • Risk Management & Fraud Detection
  • Healthcare & Clinical Decision Support
  • Customer & Marketing Analytics
  • Human Resource Analytics
  • Operations & Supply Chain Optimization
  • Financial Analytics
  • Sales Forecasting
  • Other Applications

End Users Covered:

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

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 Predictive Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Solutions
    • 5.2.1 Software Platforms
    • 5.2.2 Tools
  • 5.3 Services
    • 5.3.1 Professional
    • 5.3.2 Managed

6 Global Predictive Analytics Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On-Premises
  • 6.3 Cloud-Based
  • 6.4 Hybrid

7 Global Predictive Analytics Market, By Organization Size

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

8 Global Predictive Analytics Market, By Technology

  • 8.1 Introduction
  • 8.2 Machine Learning
  • 8.3 Statistical Modeling
  • 8.4 Data Mining
  • 8.5 Big Data Analytics
  • 8.6 Natural Language Processing (NLP)

9 Global Predictive Analytics Market, By Application

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

10 Global Predictive Analytics Market, By End User

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

11 Global 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 Google
  • 13.3 Microsoft
  • 13.4 Amazon Web Services (AWS)
  • 13.5 SAP
  • 13.6 HPE
  • 13.7 Oracle
  • 13.8 FICO
  • 13.9 SAS Institute
  • 13.10 RapidMiner
  • 13.11 Tableau
  • 13.12 Alteryx
  • 13.13 TIBCO Software
  • 13.14 Teradata
  • 13.15 Qlik

List of Tables

  • Table 1 Global Predictive Analytics Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Predictive Analytics Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Predictive Analytics Market Outlook, By Solutions (2024-2032) ($MN)
  • Table 4 Global Predictive Analytics Market Outlook, By Software Platforms (2024-2032) ($MN)
  • Table 5 Global Predictive Analytics Market Outlook, By Tools (2024-2032) ($MN)
  • Table 6 Global Predictive Analytics Market Outlook, By Services (2024-2032) ($MN)
  • Table 7 Global Predictive Analytics Market Outlook, By Professional (2024-2032) ($MN)
  • Table 8 Global Predictive Analytics Market Outlook, By Managed (2024-2032) ($MN)
  • Table 9 Global Predictive Analytics Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 10 Global Predictive Analytics Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 11 Global Predictive Analytics Market Outlook, By Cloud-Based (2024-2032) ($MN)
  • Table 12 Global Predictive Analytics Market Outlook, By Hybrid (2024-2032) ($MN)
  • Table 13 Global Predictive Analytics Market Outlook, By Organization Size (2024-2032) ($MN)
  • Table 14 Global Predictive Analytics Market Outlook, By Large Enterprises (2024-2032) ($MN)
  • Table 15 Global Predictive Analytics Market Outlook, By Small & Medium Enterprises (SMEs) (2024-2032) ($MN)
  • Table 16 Global Predictive Analytics Market Outlook, By Technology (2024-2032) ($MN)
  • Table 17 Global Predictive Analytics Market Outlook, By Machine Learning (2024-2032) ($MN)
  • Table 18 Global Predictive Analytics Market Outlook, By Statistical Modeling (2024-2032) ($MN)
  • Table 19 Global Predictive Analytics Market Outlook, By Data Mining (2024-2032) ($MN)
  • Table 20 Global Predictive Analytics Market Outlook, By Big Data Analytics (2024-2032) ($MN)
  • Table 21 Global Predictive Analytics Market Outlook, By Natural Language Processing (NLP) (2024-2032) ($MN)
  • Table 22 Global Predictive Analytics Market Outlook, By Application (2024-2032) ($MN)
  • Table 23 Global Predictive Analytics Market Outlook, By Risk Management & Fraud Detection (2024-2032) ($MN)
  • Table 24 Global Predictive Analytics Market Outlook, By Healthcare & Clinical Decision Support (2024-2032) ($MN)
  • Table 25 Global Predictive Analytics Market Outlook, By Customer & Marketing Analytics (2024-2032) ($MN)
  • Table 26 Global Predictive Analytics Market Outlook, By Human Resource Analytics (2024-2032) ($MN)
  • Table 27 Global Predictive Analytics Market Outlook, By Operations & Supply Chain Optimization (2024-2032) ($MN)
  • Table 28 Global Predictive Analytics Market Outlook, By Financial Analytics (2024-2032) ($MN)
  • Table 29 Global Predictive Analytics Market Outlook, By Sales Forecasting (2024-2032) ($MN)
  • Table 30 Global Predictive Analytics Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 31 Global Predictive Analytics Market Outlook, By End User (2024-2032) ($MN)
  • Table 32 Global Predictive Analytics Market Outlook, By Banking, Financial Services & Insurance (BFSI) (2024-2032) ($MN)
  • Table 33 Global Predictive Analytics Market Outlook, By Transportation & Logistics (2024-2032) ($MN)
  • Table 34 Global Predictive Analytics Market Outlook, By Retail & E-commerce (2024-2032) ($MN)
  • Table 35 Global Predictive Analytics Market Outlook, By Government & Defense (2024-2032) ($MN)
  • Table 36 Global Predictive Analytics Market Outlook, By Healthcare & Life Sciences (2024-2032) ($MN)
  • Table 37 Global Predictive Analytics Market Outlook, By Energy & Utilities (2024-2032) ($MN)
  • Table 38 Global Predictive Analytics Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 39 Global Predictive Analytics Market Outlook, By Telecom & IT (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.