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市場調查報告書
商品編碼
1570973

因果AI市場：現況分析與預測（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個工作天內

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簡介目錄

因果AI市場預計將呈現約42.2%的成長率。這可能是由與雲端服務供應商和其他技術公司的策略聯盟推動的，以加強產品供應和市場覆蓋範圍。例如，2023年 2月，Dynatrace 宣佈為其軟體智慧平台推出新的UX，具有強大的儀表板功能和視覺化介面。此 UX 為 Dynatrace 筆記本提供動力。 Dynatrace Notebooks 是使用程式碼、文字和豐富媒體的新型互動式文件功能，使團隊能夠協作建立、評估和分享來自探索性、因果AI分析專案的見解。

市場依產品類型分為平台與服務。透過提供在工業層面實現因果推理模型的環境和手段，平台市場預計將佔據因果AI市場的最大市場佔有率。這些平台應用先進的AI實踐（例如高效的因果推理）來支援醫療保健、金融和行銷等領域的組織決策。這些平台有助於應用因果AI，因為它們為資料收集、建模和即時分析提供端到端解決方案。此外，隨著各行業日益採用以資料為中心的解決方案，對強大、易於使用、可擴展且有效的因果推理工具和系統的需求仍然強勁，推動了市場的進一步發展。

根據最終用戶，市場分為 BFSI、醫療保健與生命科學、零售與電子商務、運輸與物流、製造等。其中，BFSI類別預計在預測期內將以最快的年複合成長率成長。利用在決策、風險專家、詐欺偵測服務和客戶特定金融服務方面的尖端解決方案的優勢。因果AI透過揭示風險和客戶行為的驅動因素來支援預測財務模型，使金融機構能夠制定更好的預防和營運策略。它還將透過加強監管並提高信用評分和取消管理的有效性，推動因果AI在 BFSI 行業的採用，使流程更加高效且更具成本效益。

為了更了解因果AI的市場採用情況，市場根據北美 (美國、加拿大、北美其他地區) 、歐洲 (德國、英國、法國、西班牙、義大利、歐洲其他地區) 、亞太地區 (中國、日本、印度、澳洲、亞太其他地區) 和世界其他國家的全球布局進行分析。北美擁有最大的因果AI市場佔有率，因為需要更深入的AI功能，而不僅僅是顯示相關性和因果關係。醫療保健系統、金融和銀行服務以及零售和銷售服務是使用因果AI進行決策、營運改善和客戶互動的主要領域。該地區的特點是技術部門發達，包括大型AI公司和研​​究中心，促進了進一步的進步和發展。此外，由於AI研究和開發的增加以及面向資料的商業計劃的增加，因果AI的使用北美擴大。

參與市場的主要公司包括 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。

目錄

第1章 市場介紹

  • 市場定義
  • 主要目的
  • 利害關係人
  • 限制

第2章 研究方法或前提

  • 調查過程
  • 調查方法
  • 受訪者簡介

第3章 執行摘要

  • 行業概況
  • 依細分市場進行預測
    • 市場成長強度
  • 區域展望

第4章 市場動態

  • 促進因素
  • 機會
  • 抑制因素
  • 趨勢
  • PESTEL 分析
  • 需求方分析
  • 供給面分析
    • 併購
    • 投資與合作場景
    • 產業洞察：主要新創公司及其獨特策略

第5章 價格分析

  • 依地區價格分析
  • 影響價格的因素

第6章 全球因果AI市場收入，2022-2032

第7章 市場洞察：透過產品

  • 平台
  • 服務

第8章 市場洞察：最終用戶

  • BFSI
  • 醫療保健/生命科學
  • 零售/電子商務
  • 交通/物流
  • 製造業
  • 其他

第9章 市場洞察：依地區

  • 北美
    • 美國
    • 加拿大
    • 其他北美地區
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 其他歐洲地區
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 其他亞太地區
  • 世界其他地區

第10章 價值鏈分析

  • 邊際分析
  • 進入市場的公司名單

第11章 競爭態勢

  • 競爭儀表板
  • 競爭市場定位分析
  • 波特五力分析

第12章 公司簡介

  • 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 縮寫與先決條件

第14章 附錄

簡介目錄
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