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預測分析市場預測至2032年：按組件、部署類型、組織規模、技術、應用、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的一項研究，預計到 2025 年，全球預測分析市場價值將達到 246.1 億美元，到 2032 年將達到 1569.5 億美元，在預測期內的複合年成長率為 30.3%。

預測分析是將統計模型、歷史資料和機器學習應用於預測未來趨勢和事件。它使組織能夠解讀資料模式、預測結果並制定策略決策。預測分析廣泛應用於醫療保健、金融和行銷等行業，支援需求預測、風險管理、詐欺偵測和客戶行為分析等領域。透過利用數據洞察，企業可以提升績效、提高規劃準確性並取得更佳的營運和策略成果。

該部落格稱，92% 的高階主管正在使用尖端的數位轉型技術來改善消費者體驗。

對數據驅動決策的需求日益成長

隨著數位轉型措施的激增，能夠將原始數據轉化為可執行洞察的先進工具的需求也日益成長。企業正在採用預測模型來預測消費行為、最佳化供應鏈並降低營運風險。在競爭日益激烈的環境中，數據驅動的決策正成為市場領導的關鍵差異化優勢。雲端運算和巨量資料平台的進步進一步加速了這一趨勢。隨著對分析的依賴性不斷增強，預測解決方案正成為現代企業不可或缺的工具。

高昂的實施成本

小規模的組織難以分配預算用於高階平台和專業的資料科學團隊。與舊有系統的整合增加了複雜性，也耗費了時間和金錢。高昂的前期成本會減緩推廣應用，尤其是在資源有限的新興市場。持續的維護、升級和培訓成本也會給組織帶來負擔。這些財務挑戰仍然是約束預測分析解決方案廣泛應用的主要阻礙因素。

人工智慧與機器學習（ML）的融合

先進的演算法能夠實現更精準的預測、異常檢測和個人化推薦。醫療保健、金融和零售等行業正在利用人工智慧驅動的預測模型來提高決策的準確性。雲端基礎平台讓這些功能更容易取得，降低了進入門檻。自然語言處理和深度學習的持續創新正在拓展預測應用的範圍。這種融合有望在多個領域帶來變革性成果，並創造巨大的市場機會。

資料安全和隱私問題

企業必須遵守諸如 GDPR 和 CCPA 等嚴格的隱私法規，這使得資料處理實務變得更加複雜。日益增多的網路攻擊凸顯了分析平台的漏洞，並有可能削弱用戶信任。為了降低風險，企業正在大力投資加密、存取控制和安全的雲端環境。然而，如何在創新和合規之間取得平衡仍然是一項持續的挑戰。如果沒有強而有力的保障措施，隱私問題可能會阻礙科技的普及應用，並限制市場擴張。

新冠疫情的感染疾病：

各組織利用預測模型來預測需求波動、因應供應鏈中斷並評估財務風險。醫療機構運用分析技術追蹤感染趨勢並最佳化資源分配。遠距辦公環境進一步加速了對雲端基礎預測平台的依賴。儘管部分產業面臨預算限制，但此次危機凸顯了數據驅動型韌性的價值。後疫情時代的策略強調敏捷性、自動化和預測性洞察，並將這些作為復甦計畫的核心要素。

預計在預測期內，解決方案領域將佔據最大的市場佔有率。

由於其全面的跨行業產品，解決方案領域預計將在預測期內佔據最大的市場佔有率。企業正在加速採用整合資料管理、視覺化和預測功能的軟體包解決方案。這些工具簡化了決策流程，並減少了對人工分析的依賴。供應商正在透過人工智慧驅動的功能增強其解決方案，以提高準確性和便利性。雲端基礎方案的擴充性對大中小型企業都極具吸引力。

預計在預測期內，零售和電子商務領域的複合年成長率將最高。

預計零售和電子商務領域在預測期內將實現最高成長率。該領域的公司正在利用預測模型來預測需求、實現個人化行銷並最佳化庫存。網路購物的興起加劇了競爭，促使零售商運用分析技術來客戶維繫。先進的演算法有助於識別購買模式並改進建議引擎。與全通路平台的整合能夠提升客戶體驗並提高銷售績效。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率。中國、印度和日本等國家的快速數位化正在推動對先進分析技術的需求。各國政府正大力投資智慧城市建設和數位基礎設施，從而創造了有利的應用機會。該地區的企業正在加強對預測工具的採用力度，以提高競爭力和營運效率。全球供應商與當地企業之間的策略合作正在加速市場滲透。

複合年成長率最高的地區：

預計北美地區在預測期內將實現最高的複合年成長率。該地區受益於強大的技術領先地位和大規模的研發投入。各公司在人工智慧驅動的分析、雲端平台和即時預測領域中主導創新。法規結構也十分有利，有助於先進解決方案的快速商業化。各公司正在將預測分析融入其核心業務，涵蓋從醫療診斷到金融風險管理的各個領域。

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    • 根據主要企業的產品系列、地理覆蓋範圍和策略聯盟基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 原始研究資料
    • 次級研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球預測分析市場（按組件分類）

  • 介紹
  • 解決方案
    • 軟體平台
    • 工具
  • 服務
    • 專業的
    • 管理

第6章：按部署類型分類的全球預測分析市場

  • 介紹
  • 本地部署
  • 雲端基礎的
  • 混合

7. 按組織規模分類的全球預測分析市場

  • 介紹
  • 主要企業
  • 小型企業

8. 全球預測分析市場（依技術分類）

  • 介紹
  • 機器學習
  • 統計建模
  • 資料探勘
  • 巨量資料分析
  • 自然語言處理（NLP）

9. 全球預測分析市場（按應用分類）

  • 介紹
  • 風險管理和詐騙偵測
  • 醫療保健和臨床決策支援
  • 客戶和行銷分析
  • 人力資源分析
  • 營運和供應鏈最佳化
  • 財務分析
  • 銷售預測
  • 其他應用

第10章：全球預測分析市場（依最終用戶分類）

  • 介紹
  • 銀行、金融服務和保險（BFSI）
  • 運輸/物流
  • 零售與電子商務
  • 政府和國防部
  • 醫療保健和生命科學
  • 能源與公共產業
  • 製造業
  • 通訊/IT

第11章：全球預測分析市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與併購
  • 新產品上市
  • 業務拓展
  • 其他關鍵策略

第13章：企業概況

  • 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.