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市场调查报告书
商品编码
1570973

因果AI市场：现况分析与预测（2024-2032）

Causal AI Market: Current Analysis and Forecast (2024-2032)
出版日期: | 出版商: UnivDatos Market Insights Pvt Ltd | 英文 138 Pages | 商品交期: 最快1-2个工作天内

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简介目录

因果AI市场预计将呈现约42.2%的成长率。这可能是由与云端服务供应商和其他技术公司的策略联盟推动的，以加强产品供应和市场覆盖范围。例如，2023年 2月，Dynatrace 宣布为其软体智慧平台推出新的UX，具有强大的仪表板功能和视觉化介面。此 UX 为 Dynatrace 笔记本提供动力。 Dynatrace Notebooks 是使用程式码、文字和丰富媒体的新型互动式文件功能，使团队能够协作建立、评估和分享来自探索性、因果AI分析专案的见解。

市场依产品类型分为平台与服务。透过提供在工业层面实现因果推理模型的环境和手段，平台市场预计将占据因果AI市场的最大市场占有率。这些平台应用先进的AI实践（例如高效的因果推理）来支援医疗保健、金融和行销等领域的组织决策。这些平台有助于应用因果AI，因为它们为资料收集、建模和即时分析提供端到端解决方案。此外，随着各行业日益采用以资料为中心的解决方案，对强大、易于使用、可扩展且有效的因果推理工具和系统的需求仍然强劲，推动了市场的进一步发展。

根据最终用户，市场分为 BFSI、医疗保健与生命科学、零售与电子商务、运输与物流、製造等。其中，BFSI类别预计在预测期内将以最快的年复合成长率成长。利用在决策、风险专家、诈欺侦测服务和客户特定金融服务方面的尖端解决方案的优势。因果AI透过揭示风险和客户行为的驱动因素来支援预测财务模型，使金融机构能够制定更好的预防和营运策略。它还将透过加强监管并提高信用评分和取消管理的有效性，推动因果AI在 BFSI 行业的采用，使流程更加高效且更具成本效益。

为了更了解因果AI的市场采用情况，市场根据北美 (美国、加拿大、北美其他地区) 、欧洲 (德国、英国、法国、西班牙、义大利、欧洲其他地区) 、亚太地区 (中国、日本、印度、澳洲、亚太其他地区) 和世界其他国家的全球布局进行分析。北美拥有最大的因果AI市场占有率，因为需要更深入的AI功能，而不仅仅是显示相关性和因果关係。医疗保健系统、金融和银行服务以及零售和销售服务是使用因果AI进行决策、营运改善和客户互动的主要领域。该地区的特点是技术部门发达，包括大型AI公司和研​​究中心，促进了进一步的进步和发展。此外，由于AI研究和开发的增加以及面向资料的商业计划的增加，因果AI的使用北美扩大。

参与市场的主要公司包括 IBM、Scalnyx、Causality Link LLC、causaLens、Omnics Data Automation（datma, Inc）、Dynatrace LLC、Xplain Data GmbH、American Software, Inc（Logility）、Aitia、Geminos Software 和其他。

目录

第1章 市场介绍

  • 市场定义
  • 主要目的
  • 利害关係人
  • 限制

第2章 研究方法或前提

  • 调查过程
  • 调查方法
  • 受访者简介

第3章 执行摘要

  • 行业概况
  • 依细分市场进行预测
    • 市场成长强度
  • 区域展望

第4章 市场动态

  • 促进因素
  • 机会
  • 抑制因素
  • 趋势
  • PESTEL 分析
  • 需求方分析
  • 供给面分析
    • 併购
    • 投资与合作场景
    • 产业洞察：主要新创公司及其独特策略

第5章 价格分析

  • 依地区价格分析
  • 影响价格的因素

第6章 全球因果AI市场收入，2022-2032

第7章 市场洞察：透过产品

  • 平台
  • 服务

第8章 市场洞察：最终用户

  • BFSI
  • 医疗保健/生命科学
  • 零售/电子商务
  • 交通/物流
  • 製造业
  • 其他

第9章 市场洞察：依地区

  • 北美
    • 美国
    • 加拿大
    • 其他北美地区
  • 欧洲
    • 德国
    • 英国
    • 法国
    • 义大利
    • 西班牙
    • 其他欧洲地区
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 其他亚太地区
  • 世界其他地区

第10章 价值链分析

  • 边际分析
  • 进入市场的公司名单

第11章 竞争态势

  • 竞争仪表板
  • 竞争市场定位分析
  • 波特五力分析

第12章 公司简介

  • IBM
  • Scalnyx
  • Causality Link LLC
  • causaLens
  • Omnics Data Automation（datma, Inc.）
  • Dynatrace+Causal AI
  • Xplain Data GmbH
  • American Software, Inc.（Logility）
  • Aitia
  • Geminos Software

第13章 缩写与先决条件

第14章 附录

简介目录
Product Code: UMTI213020

The global Causal AI market deals with the construction and use of artificial intelligence frameworks that are concentrated on causal, rather than correlative, results. Causal AI can improve the decision-making process when used by finding factors that contributed to the result, making great improvements in areas such as medical, financial, and promotional. Drivers for the growth of this market are a higher need to gain better prediction systems, latest trends toward customized solutions, and the necessity for better critical risk management. As companies seek better ways of having improved information for their operations, Causal AI renews itself as a disruptive technology enhancing decision-making and operations across the world.

The causal AI market is set to show a growth rate of about 42.2%. This is due to strategic alliances with cloud service providers and other tech firms that can enhance product offerings and market reach. For instance, in February 2023, Dynatrace unveiled a new UX for its Software Intelligence Platform, featuring powerful dashboarding capabilities and a visual interface. This UX powers Dynatrace Notebooks, a new interactive document capability that allows teams to collaborate using code, text, & rich media to build, evaluate, & share insights from exploratory, causal-AI-based analytics projects.

Based on offering, the market is bifurcated into platform and services. The platform market is expected to have the largest market share of the causal AI market by offering an environment and instruments that enable the implementation of causal inference models at an industrial level. These platforms let them apply sophisticated AI practices, such as efficient causal inference to support organizations in decision-making in the fields of healthcare, finance, and marketing. These platforms help in the application of Causal AI since they provide end-to-end solutions for data gathering, modeling as well as real-time analysis. In addition, with the increasing adoption of data-centric solutions across various industries, the need for effective tools and systems for causal inference, which are customarily robust, easy to use, and scalable, stays high, thus stimulating further development of the market.

Based on the end-user, the market is segmented into BFSI, healthcare and life sciences, retail and e-commerce, transportation and logistics, manufacturing, and others. Among these, the BFSI category is expected to grow at the fastest CAGR during the forecast period. Using its strengths in modern solutions in decision making, risk expert, fraudulent detection services, and customer-specific financial services. Causal AI enhances predictive financial modeling by revealing drivers of risks and customers' behavior, ensuring that institutions can build better preventive and operational strategies. It also strengthens regulation and increases effectiveness in credit scoring and churn management, making the process more efficient and cost-effective, thus promoting the adoption of Causal AI in the BFSI industry.

For a better understanding of the market adoption of Causal AI, the market is analyzed based on its worldwide presence in countries such as North America (U.S., Canada, and the Rest of North America), Europe (Germany, U.K., France, Spain, Italy, Rest of Europe), Asia-Pacific (China, Japan, India, Rest of Asia-Pacific), Rest of World. Among these, North America has been considered to have the largest market share for Causal AI due to the demand for deeper artificial intelligence capabilities that are not simply capable of showing correlation and causation. Healthcare systems, financial and banking services, and retail and sales services among others are some of the major fields that are using Causal AI to help in decision-making, to improve operations, and to serve customers. The region is characterized by a well-developed technology sector, which includes key AI companies and research centers, thus encouraging further advancements and progress. Furthermore, increasing R&D on artificial intelligence and the increasing number of data-oriented business plans are expanding the use of Causal AI even in North America as well.

Some of the major players operating in the market include IBM; Scalnyx; Causality Link LLC; causaLens; Omnics Data Automation (datma, Inc.); Dynatrace LLC; Xplain Data GmbH; American Software, Inc. (Logility); Aitia; Geminos Software

TABLE OF CONTENTS

1.MARKET INTRODUCTION

  • 1.1. Market Definitions
  • 1.2. Main Objective
  • 1.3. Stakeholders
  • 1.4. Limitation

2.RESEARCH METHODOLOGY OR ASSUMPTION

  • 2.1. Research Process of the Global Causal AI Market
  • 2.2. Research Methodology of the Global Causal AI Market
  • 2.3. Respondent Profile

3.EXECUTIVE SUMMARY

  • 3.1. Industry Synopsis
  • 3.2. Segmental Outlook
    • 3.2.1. Market Growth Intensity
  • 3.3. Regional Outlook

4.MARKET DYNAMICS

  • 4.1. Drivers
  • 4.2. Opportunity
  • 4.3. Restraints
  • 4.4. Trends
  • 4.5. PESTEL Analysis
  • 4.6. Demand Side Analysis
  • 4.7. Supply Side Analysis
    • 4.7.1. Merger & Acquisition
    • 4.7.2. Investment and Partnership Scenario
    • 4.7.3. Industry Insights: Leading Startups and Their Unique Strategies

5.PRICING ANALYSIS

  • 5.1. Regional Pricing Analysis
  • 5.2. Price Influencing Factors

6.GLOBAL CAUSAL AI MARKET REVENUE (USD BN), 2022-2032F

7.MARKET INSIGHTS BY OFFERING

  • 7.1. Platform
  • 7.2. Services

8.MARKET INSIGHTS BY END-USER

  • 8.1. BFSI
  • 8.2. Healthcare and Life Sciences
  • 8.3. Retail and E-commerce
  • 8.4. Transportation and Logistics
  • 8.5. Manufacturing
  • 8.6. Others

9.MARKET INSIGHTS BY REGION

  • 9.1. North America
    • 9.1.1. U.S.
    • 9.1.2. Canada
    • 9.1.3. Rest of North America
  • 9.2. Europe
    • 9.2.1. Germany
    • 9.2.2. U.K.
    • 9.2.3. France
    • 9.2.4. Italy
    • 9.2.5. Spain
    • 9.2.6. Rest of Europe
  • 9.3. Asia-Pacific
    • 9.3.1. China
    • 9.3.2. Japan
    • 9.3.3. India
    • 9.3.4. Rest of Asia-Pacific
  • 9.4. Rest of World

10.VALUE CHAIN ANALYSIS

  • 10.1. Marginal Analysis
  • 10.2. List of Market Participants

11.COMPETITIVE LANDSCAPE

  • 11.1. Competition Dashboard
  • 11.2. Competitor Market Positioning Analysis
  • 11.3. Porter Five Forces Analysis

12.COMPANY PROFILED

  • 12.1. IBM
    • 12.1.1. Company Overview
    • 12.1.2. Key Financials
    • 12.1.3. SWOT Analysis
    • 12.1.4. Product Portfolio
    • 12.1.5. Recent Developments
  • 12.2. Scalnyx
  • 12.3. Causality Link LLC
  • 12.4. causaLens
  • 12.5. Omnics Data Automation (datma, Inc.)
  • 12.6. Dynatrace + Causal AI
  • 12.7. Xplain Data GmbH
  • 12.8. American Software, Inc. (Logility)
  • 12.9. Aitia
  • 12.10. Geminos Software

13.ACRONYMS & ASSUMPTION

14.ANNEXURE