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市場調查報告書
商品編碼
2021699

人工智慧預測分析市場預測至2034年—按解決方案類型、組件、部署模式、技術、最終用戶和地區分類的全球分析

AI Predictive Analytics Market Forecasts to 2034 - Global Analysis By Solution Type, Component, Deployment Mode, Technology, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球人工智慧預測分析市場預計將在 2026 年達到 220 億美元，並在預測期內以 25% 的複合年成長率成長，到 2034 年達到 1350 億美元。

人工智慧預測分析利用機器學習演算法和統計模型，基於歷史數據和即時數據預測未來結果。這些系統分析模式、趨勢和相關性，從而預測客戶行為、設備故障和市場趨勢等事件。預測分析幫助企業最佳化營運、降低風險並改善規劃。它廣泛應用於金融、醫療保健、零售和製造業等行業。人工智慧和資料處理能力的進步正在不斷提高預測分析解決方案的準確性和擴充性。

對未來洞察的需求日益成長

企業越來越依賴預測模型來預測客戶行為、市場趨勢和營運風險。人工智慧驅動的分析工具使企業能夠從單純的描述性報告轉向主動決策。零售、金融和醫療保健等行業正在利用預測洞察來獲得競爭優勢。預測結果的能力可以降低不確定性並加強策略規劃。隨著企業將前瞻性視為優先事項，預測分析將繼續推動市場擴張。

數據品質和可用性挑戰

要讓預測模型產生可靠的結果，乾淨、一致且全面的資料集至關重要。不完整或不準確的數據會降低人工智慧預測的有效性。企業常常面臨資料來源分散和整合難題。由於資料準備資源有限，中小企業面臨的困難度更大。儘管技術不斷進步，但確保高品質數據仍然是推廣應用的一大障礙。

拓展至醫療金融領域

在醫療保健領域，預測模型正被用於預測患者預後、最佳化資源分配和提高診斷準確性。金融機構則利用預測分析進行詐欺偵測、風險管理和投資策略制定。由於這些行業對準確性和可靠性要求極高，人工智慧驅動的工具尤其重要。技術提供者與受監管行業之間的合作正在加速創新。隨著應用範圍的擴大，醫療保健和金融業有望推動市場顯著擴張。

錯誤預測對決策的影響

有缺陷的模型會導致錯誤的策略決策、經濟損失和聲譽損害。企業若過度依賴未經充分檢驗的人工智慧系統，可能面臨風險。有偏差的資料集會進一步增加結果不準確的風險。如果預測誤差影響到醫療保健和金融等關鍵產業，監管力道可能會加大。這項威脅凸顯了在預測分析中進行穩健測試和管治的重要性。

新冠疫情的影響：

新冠疫情對人工智慧預測分析市場產生了正面和負面的雙重影響。供應鏈中斷和勞動力短缺減緩了該技術的普及速度。然而，遠距辦公和數位轉型的激增提升了對預測性洞察的需求。企業加速採用人工智慧驅動的工具來應對不確定性並最佳化營運。預測分析在醫療保健領域，尤其是在疫情建模和資源規劃方面，得到了廣泛應用。總體而言，儘管新冠疫情帶來了短期挑戰，但它增強了預測分析的長期發展動能。

在預測期內，銷售預測部分預計將是規模最大的部分。

預計在預測期內，銷售預測領域將佔據最大的市場佔有率，因為它在幫助企業預測需求、最佳化庫存和改善收入計劃方面發揮著至關重要的作用。人工智慧驅動的預測模型比傳統方法更精準。零售商和製造商高度依賴預測分析來調整其供應鏈以適應市場需求。機器學習演算法的持續創新正在推動其應用。雲端平台進一步加速了企業對預測分析的採用。

在預測期內，深度學習領域預計將呈現最高的複合年成長率。

在預測期內，深度學習領域預計將呈現最高的成長率，因為先進的神經網路能夠建立高度精確且複雜的預測模型。深度學習提高了處理大規模資料集和識別隱藏模式的能力。醫療保健、金融和物流等行業正在採用深度學習進行關鍵營運預測。 GPU 和雲端基礎設施的進步正在加速其應用。企業正在投資深度學習，以改善決策並降低風險。

市佔率最大的地區：

在整個預測期內，北美預計將保持最大的市場佔有率，這得益於其強大的技術基礎設施、成熟的人工智慧公司以及跨行業預測分析的廣泛應用。美國處於主導地位，主要企業紛紛投資人工智慧驅動的預測平台。醫療保健、金融和零售業對預測洞察的強勁需求進一步鞏固了該地區的主導地位。政府主導的人工智慧研發舉措正在加速其應用。企業與Start-Ups之間的夥伴關係正在推動預測解決方案的創新。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的數位化進程、人工智慧生態系統的擴展以及對預測分析技術投資的增加。中國、印度和韓國等國家正在部署大規模預測項目，以支援人工智慧的應用。區域內Start-Ups正攜創新解決方案進入市場。電子商務、醫​​療保健和智慧城市領域對人工智慧日益成長的需求正在推動其應用。政府主導的數位轉型支援計畫也進一步促進了這一成長。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 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
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章 全球人工智慧預測分析市場：按解決方案類型分類

  • 風險分析
  • 銷售預測
  • 客戶洞察
  • 詐欺偵測
  • 業務流程最佳化
  • 其他解決方案

第6章：全球人工智慧預測分析市場：按組件分類

  • 分析軟體
  • 資料整合工具
  • 視覺化平台
  • 資料管理系統
  • 其他規則

第7章 全球人工智慧預測分析市場：依部署模式分類

  • 現場
  • 基於雲端的

第8章 全球人工智慧預測分析市場：按技術分類

  • 機器學習模型
  • 時間序列預測
  • 深度學習
  • 預測建模演算法
  • 基於人工智慧的模擬
  • 其他技術

第9章 全球人工智慧預測分析市場：依最終用戶分類

  • BFSI
  • 零售與電子商務
  • 衛生保健
  • 製造業
  • 溝通
  • 其他最終用戶

第10章：全球人工智慧預測分析市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • IBM Corporation
  • Microsoft Corporation
  • Google LLC
  • Amazon Web Services
  • SAP SE
  • Oracle Corporation
  • SAS Institute
  • Teradata Corporation
  • Alteryx Inc.
  • Domo Inc.
  • Databricks
  • H2O.ai
  • DataRobot
  • RapidMiner
  • TIBCO Software
  • KNIME
  • FICO
Product Code: SMRC35084

According to Stratistics MRC, the Global AI Predictive Analytics Market is accounted for $22 billion in 2026 and is expected to reach $135 billion by 2034 growing at a CAGR of 25% during the forecast period. AI Predictive Analytics uses machine learning algorithms and statistical models to forecast future outcomes based on historical and real-time data. These systems analyze patterns, trends, and relationships to predict events such as customer behavior, equipment failures, or market trends. Predictive analytics helps organizations optimize operations, reduce risks, and improve planning. It is widely used in sectors such as finance, healthcare, retail, and manufacturing. Advances in AI and data processing capabilities are enhancing the accuracy and scalability of predictive analytics solutions.

Market Dynamics:

Driver:

Increasing demand for future insights

Enterprises are increasingly relying on predictive models to anticipate customer behavior, market trends, and operational risks. AI-powered analytics tools enable organizations to move beyond descriptive reporting toward proactive decision-making. Industries such as retail, finance, and healthcare are leveraging predictive insights to gain competitive advantages. The ability to forecast outcomes reduces uncertainty and enhances strategic planning. As businesses prioritize foresight, predictive analytics continues to fuel market expansion.

Restraint:

Data quality and availability issues

Predictive models depend on clean, consistent, and comprehensive datasets to deliver reliable results. Incomplete or inaccurate data reduces the effectiveness of AI-driven predictions. Enterprises often struggle with fragmented data sources and integration issues. Smaller firms face greater difficulties due to limited resources for data preparation. Despite technological advances, ensuring high-quality data remains a persistent barrier to adoption.

Opportunity:

Expansion across healthcare and finance

In healthcare, predictive models are being used to forecast patient outcomes, optimize resource allocation, and improve diagnostics. Financial institutions leverage predictive analytics for fraud detection, risk management, and investment strategies. These industries require high accuracy and reliability, making AI-driven tools particularly valuable. Partnerships between technology providers and regulated sectors are accelerating innovation. As adoption grows, healthcare and finance are expected to drive significant market expansion.

Threat:

Incorrect predictions impacting decisions

Flawed models can lead to poor strategic decisions, financial losses, and reputational damage. Enterprises risk over-reliance on AI systems without adequate validation. Biases in datasets further increase the risk of inaccurate outcomes. Regulatory scrutiny may intensify if predictive errors affect critical sectors such as healthcare or finance. This threat underscores the importance of robust testing and governance in predictive analytics.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the AI predictive analytics market. Supply chain disruptions and workforce limitations slowed technology deployments. However, the surge in remote work and digital transformation boosted demand for predictive insights. Enterprises accelerated adoption of AI-driven tools to manage uncertainty and optimize operations. Predictive analytics gained traction in healthcare for pandemic modeling and resource planning. Overall, COVID-19 created short-term challenges but reinforced long-term momentum for predictive analytics.

The sales forecasting segment is expected to be the largest during the forecast period

The sales forecasting segment is expected to account for the largest market share during the forecast period owing to its critical role in helping enterprises anticipate demand, optimize inventory, and improve revenue planning. AI-driven forecasting models provide greater accuracy compared to traditional methods. Retailers and manufacturers rely heavily on predictive analytics to align supply chains with market demand. Continuous innovation in machine learning algorithms strengthens adoption. Cloud-based platforms further accelerate deployment across enterprises.

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

Over the forecast period, the deep learning segment is predicted to witness the highest growth rate as advanced neural networks enable highly accurate and complex predictive models. Deep learning enhances the ability to process large datasets and identify hidden patterns. Industries such as healthcare, finance, and logistics are adopting deep learning for mission-critical predictions. Advances in GPU and cloud infrastructure are accelerating adoption. Enterprises are investing in deep learning to improve decision-making and reduce risks.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share supported by strong technology infrastructure, established AI firms, and high adoption of predictive analytics across industries. The U.S. leads with major players investing in AI-driven forecasting platforms. Robust demand for predictive insights in healthcare, finance, and retail strengthens regional leadership. Government-backed initiatives in AI R&D further accelerate adoption. Partnerships between enterprises and startups drive innovation in predictive solutions.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to rapid digitalization, expanding AI ecosystems, and rising investments in predictive analytics technologies. Countries such as China, India, and South Korea are deploying large-scale predictive projects to support AI adoption. Regional startups are entering the market with innovative solutions. Expanding demand for AI in e-commerce, healthcare, and smart cities fuels adoption. Government-backed programs supporting digital transformation further strengthen growth.

Key players in the market

Some of the key players in AI Predictive Analytics Market include IBM Corporation, Microsoft Corporation, Google LLC, Amazon Web Services, SAP SE, Oracle Corporation, SAS Institute, Teradata Corporation, Alteryx Inc., Domo Inc., Databricks, H2O.ai, DataRobot, RapidMiner, TIBCO Software, KNIME and FICO.

Key Developments:

In September 2025, Alteryx introduced automation-first predictive analytics tools. The launch reinforced its competitiveness in enterprise workflows and strengthened adoption in financial services.

In February 2025, Microsoft integrated predictive analytics into Azure Synapse. The initiative reinforced efficiency in enterprise workflows and strengthened adoption in hybrid cloud environments.

Solution Types Covered:

  • Risk Analytics
  • Sales Forecasting
  • Customer Insights
  • Fraud Detection
  • Operations Optimization
  • Other Solutions

Components Covered:

  • Analytics Software
  • Data Integration Tools
  • Visualization Platforms
  • Data Management Systems
  • Other Components

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Technologies Covered:

  • Machine Learning Models
  • Time Series Forecasting
  • Deep Learning
  • Predictive Modeling Algorithms
  • AI-Based Simulation
  • Other Technologies

End Users Covered:

  • BFSI
  • Retail & E-commerce
  • Healthcare
  • Manufacturing
  • Telecom
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of 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 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • 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

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global AI Predictive Analytics Market, By Solution Type

  • 5.1 Risk Analytics
  • 5.2 Sales Forecasting
  • 5.3 Customer Insights
  • 5.4 Fraud Detection
  • 5.5 Operations Optimization
  • 5.6 Other Solutions

6 Global AI Predictive Analytics Market, By Component

  • 6.1 Analytics Software
  • 6.2 Data Integration Tools
  • 6.3 Visualization Platforms
  • 6.4 Data Management Systems
  • 6.5 Other Components

7 Global AI Predictive Analytics Market, By Deployment Mode

  • 7.1 On-Premise
  • 7.2 Cloud-Based

8 Global AI Predictive Analytics Market, By Technology

  • 8.1 Machine Learning Models
  • 8.2 Time Series Forecasting
  • 8.3 Deep Learning
  • 8.4 Predictive Modeling Algorithms
  • 8.5 AI-Based Simulation
  • 8.6 Other Technologies

9 Global AI Predictive Analytics Market, By End User

  • 9.1 BFSI
  • 9.2 Retail & E-commerce
  • 9.3 Healthcare
  • 9.4 Manufacturing
  • 9.5 Telecom
  • 9.6 Other End Users

10 Global AI Predictive Analytics Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 IBM Corporation
  • 13.2 Microsoft Corporation
  • 13.3 Google LLC
  • 13.4 Amazon Web Services
  • 13.5 SAP SE
  • 13.6 Oracle Corporation
  • 13.7 SAS Institute
  • 13.8 Teradata Corporation
  • 13.9 Alteryx Inc.
  • 13.10 Domo Inc.
  • 13.11 Databricks
  • 13.12 H2O.ai
  • 13.13 DataRobot
  • 13.14 RapidMiner
  • 13.15 TIBCO Software
  • 13.16 KNIME
  • 13.17 FICO

List of Tables

  • Table 1 Global AI Predictive Analytics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Predictive Analytics Market, By Solution Type (2023-2034) ($MN)
  • Table 3 Global AI Predictive Analytics Market, By Risk Analytics (2023-2034) ($MN)
  • Table 4 Global AI Predictive Analytics Market, By Sales Forecasting (2023-2034) ($MN)
  • Table 5 Global AI Predictive Analytics Market, By Customer Insights (2023-2034) ($MN)
  • Table 6 Global AI Predictive Analytics Market, By Fraud Detection (2023-2034) ($MN)
  • Table 7 Global AI Predictive Analytics Market, By Operations Optimization (2023-2034) ($MN)
  • Table 8 Global AI Predictive Analytics Market, By Other Solutions (2023-2034) ($MN)
  • Table 9 Global AI Predictive Analytics Market, By Component (2023-2034) ($MN)
  • Table 10 Global AI Predictive Analytics Market, By Analytics Software (2023-2034) ($MN)
  • Table 11 Global AI Predictive Analytics Market, By Data Integration Tools (2023-2034) ($MN)
  • Table 12 Global AI Predictive Analytics Market, By Visualization Platforms (2023-2034) ($MN)
  • Table 13 Global AI Predictive Analytics Market, By Data Management Systems (2023-2034) ($MN)
  • Table 14 Global AI Predictive Analytics Market, By Other Components (2023-2034) ($MN)
  • Table 15 Global AI Predictive Analytics Market, By Deployment Mode (2023-2034) ($MN)
  • Table 16 Global AI Predictive Analytics Market, By On-Premise (2023-2034) ($MN)
  • Table 17 Global AI Predictive Analytics Market, By Cloud-Based (2023-2034) ($MN)
  • Table 18 Global AI Predictive Analytics Market, By Technology (2023-2034) ($MN)
  • Table 19 Global AI Predictive Analytics Market, By Machine Learning Models (2023-2034) ($MN)
  • Table 20 Global AI Predictive Analytics Market, By Time Series Forecasting (2023-2034) ($MN)
  • Table 21 Global AI Predictive Analytics Market, By Deep Learning (2023-2034) ($MN)
  • Table 22 Global AI Predictive Analytics Market, By Predictive Modeling Algorithms (2023-2034) ($MN)
  • Table 23 Global AI Predictive Analytics Market, By AI-Based Simulation (2023-2034) ($MN)
  • Table 24 Global AI Predictive Analytics Market, By Other Technologies (2023-2034) ($MN)
  • Table 25 Global AI Predictive Analytics Market, By End User (2023-2034) ($MN)
  • Table 26 Global AI Predictive Analytics Market, By BFSI (2023-2034) ($MN)
  • Table 27 Global AI Predictive Analytics Market, By Retail & E-commerce (2023-2034) ($MN)
  • Table 28 Global AI Predictive Analytics Market, By Healthcare (2023-2034) ($MN)
  • Table 29 Global AI Predictive Analytics Market, By Manufacturing (2023-2034) ($MN)
  • Table 30 Global AI Predictive Analytics Market, By Telecom (2023-2034) ($MN)
  • Table 31 Global AI Predictive Analytics Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.