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市场调查报告书
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2021699

人工智慧预测分析市场预测至2034年—按解决方案类型、组件、部署模式、技术、最终用户和地区分類的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球人工智慧预测分析市场预计将在 2026 年达到 220 亿美元，并在预测期内以 25% 的复合年增长率增长，到 2034 年达到 1350 亿美元。

人工智慧预测分析利用机器学习演算法和统计模型，基于历史数据和即时数据预测未来结果。这些系统分析模式、趋势和相关性，从而预测客户行为、设备故障和市场趋势等事件。预测分析帮助企业优化营运、降低风险并改善规划。它广泛应用于金融、医疗保健、零售和製造业等行业。人工智慧和资料处理能力的进步正在不断提高预测分析解决方案的准确性和扩充性。

对未来洞察的需求日益增长

企业越来越依赖预测模型来预测客户行为、市场趋势和营运风险。人工智慧驱动的分析工具使企业能够从单纯的描述性报告转向主动决策。零售、金融和医疗保健等行业正在利用预测洞察来获得竞争优势。预测结果的能力可以降低不确定性并加强策略规划。随着企业将前瞻性视为优先事项，预测分析将继续推动市场扩张。

数据品质和可用性挑战

要让预测模型产生可靠的结果，干净、一致且全面的资料集至关重要。不完整或不准确的数据会降低人工智慧预测的有效性。企业常常面临资料来源分散和整合难题。由于资料准备资源有限，中小企业面临的困难度更大。儘管技术不断进步，但确保高品质数据仍然是推广应用的一大障碍。

拓展至医疗金融领域

在医疗保健领域，预测模型正被用于预测患者预后、优化资源分配和提高诊断准确性。金融机构则利用预测分析进行诈欺侦测、风险管理和投资策略制定。由于这些行业对准确性和可靠性要求极高，人工智慧驱动的工具尤其重要。技术提供者与受监管行业之间的合作正在加速创新。随着应用范围的扩大，医疗保健和金融业有望推动市场显着扩张。

错误预测对决策的影响

有缺陷的模型会导致错误的策略决策、经济损失和声誉损害。企业若过度依赖未经充分检验的人工智慧系统，可能面临风险。有偏差的资料集会进一步增加结果不准确的风险。如果预测误差影响到医疗保健和金融等关键产业，监管力道可能会加大。这项威胁凸显了在预测分析中进行稳健测试和管治的重要性。

新冠疫情的影响：

新冠疫情对人工智慧预测分析市场产生了正面和负面的双重影响。供应链中断和劳动力短缺减缓了该技术的普及速度。然而，远距办公和数位转型的激增提升了对预测性洞察的需求。企业加速采用人工智慧驱动的工具来应对不确定性并优化营运。预测分析在医疗保健领域，尤其是在疫情建模和资源规划方面，得到了广泛应用。总体而言，儘管新冠疫情带来了短期挑战，但它增强了预测分析的长期发展动能。

在预测期内，销售预测部分预计将是规模最大的部分。

预计在预测期内，销售预测领域将占据最大的市场份额，因为它在帮助企业预测需求、优化库存和改善收入计划方面发挥着至关重要的作用。人工智慧驱动的预测模型比传统方法更精准。零售商和製造商高度依赖预测分析来调整其供应链以适应市场需求。机器学习演算法的持续创新正在推动其应用。云端平台进一步加速了企业对预测分析的采用。

在预测期内，深度学习领域预计将呈现最高的复合年增长率。

在预测期内，深度学习领域预计将呈现最高的成长率，因为先进的神经网路能够建立高度精确且复杂的预测模型。深度学习提高了处理大规模资料集和识别隐藏模式的能力。医疗保健、金融和物流等行业正在采用深度学习进行关键营运预测。 GPU 和云端基础设施的进步正在加速其应用。企业正在投资深度学习，以改善决策并降低风险。

市占率最大的地区：

在整个预测期内，北美预计将保持最大的市场份额，这得益于其强大的技术基础设施、成熟的人工智慧公司以及跨行业预测分析的广泛应用。美国处于主导地位，主要企业纷纷投资人工智慧驱动的预测平台。医疗保健、金融和零售业对预测洞察的强劲需求进一步巩固了该地区的主导地位。政府主导的人工智慧研发倡议正在加速其应用。企业与Start-Ups之间的伙伴关係正在推动预测解决方案的创新。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率，这主要得益于快速的数位化进程、人工智慧生态系统的扩展以及对预测分析技术投资的增加。中国、印度和韩国等国家正在部署大规模预测项目，以支援人工智慧的应用。区域内Start-Ups正携创新解决方案进入市场。电子商务、医​​疗保健和智慧城市领域对人工智慧日益增长的需求正在推动其应用。政府主导的数位转型支援计画也进一步促进了这一成长。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（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
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 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
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章 全球人工智慧预测分析市场：按解决方案类型划分

  • 风险分析
  • 销售预测
  • 客户洞察
  • 诈欺侦测
  • 业务流程优化
  • 其他解决方案

第六章：全球人工智慧预测分析市场：按组件划分

  • 分析软体
  • 资料整合工具
  • 视觉化平台
  • 资料管理系统
  • 其他规则

第七章 全球人工智慧预测分析市场：依部署模式划分

  • 现场
  • 基于云端的

第八章 全球人工智慧预测分析市场：按技术划分

  • 机器学习模型
  • 时间序列预测
  • 深度学习
  • 预测建模演算法
  • 基于人工智慧的模拟
  • 其他技术

第九章 全球人工智慧预测分析市场：依最终用户划分

  • BFSI
  • 零售与电子商务
  • 卫生保健
  • 製造业
  • 沟通
  • 其他最终用户

第十章：全球人工智慧预测分析市场：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十一章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十二章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十三章：公司简介

  • 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.