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市場調查報告書
商品編碼
2021718

商業智慧領域人工智慧市場：預測（至2034年）－按解決方案類型、組件、部署方式、技術、最終用戶和地區進行分析

AI in Business Intelligence Market Forecasts to 2034 - Global Analysis By Solution Type (Self-Service BI, Embedded BI, Mobile BI, Augmented Analytics and Other BI Solutions), 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，到 2026 年，全球商業智慧市場規模將達到 350 億美元，預計在預測期內將以 20% 的複合年成長率成長，到 2034 年將達到 1500 億美元。

在商業智慧，人工智慧 (AI) 指的是利用人工智慧來增強組織內部的數據分析、報告和決策流程。 AI 驅動的商業智慧 (BI) 工具提供自動化的資料準備、洞察生成、預測分析和處方分析。自然語言查詢、異常檢測和自動生成的儀表板等功能提高了工具的易用性和可訪問性。這些系統使企業能夠基於即時數據做出更快、更明智的決策。對數據驅動型策略和數位轉型日益成長的需求正在推動 AI 整合到商業智慧平台中。

對數據驅動決策的需求

企業越來越依賴分析來指南策略規劃和營運效率提升。人工智慧驅動的商業智慧 (BI) 工具能夠更快地提供洞察、進行預測建模和產生即時報告。企業正在投資這些解決方案，以增強競爭力並降低風險。金融、醫療保健和零售等行業正在利用人工智慧主導的BI 來獲取客戶洞察並最佳化績效。隨著決策變得日益複雜，人工智慧的整合將繼續推動市場擴張。

組織中對變革的抵制

由於文化障礙和對傳統方法的依賴，許多公司在實施人工智慧驅動的商業智慧 (BI) 時舉步維艱。員工可能不願意相信自動化洞察，而更傾向於相信人類的判斷。培訓和變革管理也為推廣應用帶來了進一步的挑戰。中小企業 (SME) 通常缺乏實施進階 BI 解決方案所需的資源。儘管優勢顯而易見，但組織內部的阻力卻減緩了轉型的腳步。

自助式、人工智慧驅動的商業智慧平台

自助式、人工智慧驅動的商業智慧 (BI) 平台蘊藏著巨大的市場機會。這些解決方案使不具備技術專長的使用者無需依賴 IT 團隊即可獲得洞察。人工智慧驅動的自動化簡化了資料準備、視覺化和報告流程。企業正在採用自助式 BI 來提高敏捷性並普及分析。 BI 供應商與雲端服務供應商之間的合作正在加速使用者友善平台的創新。隨著對易用型分析工具的需求不斷成長，自助式 AI BI 預計將迅速發展。

與數據準確性和品質相關的挑戰

管理不善的資料集會導致誤導性洞察和錯誤決策。不可靠的分析會為企業帶來聲譽損害和經濟損失的風險。確保跨多個資料來源的資料一致性仍然是一項挑戰。監管合規性進一步增加了維護資料準確性的複雜性。這項威脅凸顯了在商業智慧系統中建立健全資料管治的重要性。

新冠疫情的影響：

新冠疫情對商業智慧的人工智慧市場產生了複雜的影響。供應鏈中斷和人才短缺減緩了技術應用的普及。然而，遠距辦公和數位轉型的激增提升了對商業智慧解決方案的需求。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。隨著企業尋求更高的彈性和可擴展性，基於雲端的商業智慧平台獲得了廣泛關注。總而言之，儘管新冠疫情帶來了短期挑戰，但它鞏固了人工智慧在商業智慧的長期發展勢頭。

在預測期內，增強分析領域預計將佔據最大佔有率。

由於增強分析能夠利用人工智慧自動完成數據準備、洞察生成和視覺化，預計在預測期內，該細分市場將佔據最大的市場佔有率。企業正依靠增強分析來減少人工工作量並提高準確性。自然語言處理和機器學習領域的持續創新正在推動其應用。數據需求複雜的產業正在優先考慮增強分析，以確保可擴展性。雲端平台進一步加速了企業對增強分析的採用。隨著自動化需求的成長，預計該細分市場將佔據主導地位。

在預測期內，自然語言查詢細分市場預計將呈現最高的複合年成長率。

在預測期內，隨著企業擴大採用對話式介面來簡化商業智慧 (BI) 的使用，自然語言查詢領域預計將呈現最高的成長率。自然語言查詢允許使用者使用日常語言與 BI 系統進行互動。這降低了缺乏技術知識的員工的使用門檻，並使更多人能夠獲得洞察。自然語言處理 (NLP) 演算法的進步正在提高準確性和易用性。企業正在投資這些解決方案，以提高生產力和決策效率。

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、成熟的商業智慧 (BI) 供應商以及跨行業的 AI 應用。美國在該領域處於領先地位，主要企業在投資 AI 驅動的 BI 平台。醫療保健、金融和政府部門對分析的強勁需求鞏固了該地區的主導地位。政府主導的AI 研發舉措正在進一步加速其應用。企業與Start-Ups之間的夥伴關係正在推動 BI 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商業智慧（BI）技術投資的增加。中國、印度和韓國等國正在部署大規模的BI專案以支援人工智慧的應用。區域內的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：

訂閱本報告的用戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他公司（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）
  • 區域分類
    • 根據客戶興趣量身定做的主要國家/地區的市場估算、預測和複合年成長率（註：基於可行性檢查）
  • 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
  • 成長要素、挑戰與機遇
  • 競爭格局概述
  • 戰略考慮和建議

第2章：分析框架

  • 分析的目標和範圍
  • 相關人員分析
  • 分析的前提條件與限制
  • 分析方法

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
  • 科技與創新趨勢
  • 新興市場和高成長市場
  • 監管和政策環境
  • 感染疾病的影響及恢復前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商議價能力
    • 買方的議價能力
    • 替代產品的威脅
    • 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：全球商業智慧的人工智慧市場：按解決方案類型分類

  • 自助式商業智慧
  • 嵌入式商業智慧
  • 行動商業智慧
  • 增強型分析
  • 其他商業智慧解決方案

第6章：全球商業智慧中的人工智慧市場：按組件分類

  • BI平台
  • 數據視覺化工具
  • 資料整合工具
  • 查詢和報表建立工具
  • 分析引擎
  • 其他規則

第7章：全球商業智慧中的人工智慧市場：按部署方式分類

  • 現場
  • 基於雲端的

第8章：全球商業智慧中的人工智慧市場：按技術分類

  • 自然語言查詢
  • 自動產生洞察
  • 預測分析的整合
  • 人工智慧驅動的儀表板
  • 數據敘事
  • 其他技術

第9章：全球商業智慧市場：按最終用戶分類

  • 公司
  • 小型企業
  • 政府機構
  • 金融機構
  • 零售與電子商務
  • 其他最終用戶

第10章：全球商業智慧市場：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

  • 產業加值網路與供應鏈評估
  • 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

  • 企業合併（M&A）
  • 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

  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • Google LLC
  • Salesforce Inc.
  • Tableau Software
  • Qlik Technologies
  • TIBCO Software
  • Domo Inc.
  • Zoho Corporation
  • ThoughtSpot
  • Sisense Inc.
  • MicroStrategy Incorporated
  • Yellowfin BI
Product Code: SMRC35083

According to Stratistics MRC, the Global AI in Business Intelligence Market is accounted for $35 billion in 2026 and is expected to reach $150 billion by 2034 growing at a CAGR of 20% during the forecast period. AI in Business Intelligence involves the use of artificial intelligence to enhance data analysis, reporting, and decision-making processes in organizations. AI-powered BI tools automate data preparation, generate insights, and provide predictive and prescriptive analytics. Features such as natural language querying, anomaly detection, and automated dashboards improve accessibility and usability. These systems enable businesses to make faster, more informed decisions based on real-time data. Increasing demand for data-driven strategies and digital transformation is driving the integration of AI into business intelligence platforms.

Market Dynamics:

Driver:

Demand for data-driven decision making

Organizations are increasingly relying on analytics to guide strategic planning and operational efficiency. AI-powered BI tools enable faster insights, predictive modeling, and real-time reporting. Enterprises are investing in these solutions to improve competitiveness and reduce risks. Industries such as finance, healthcare, and retail are leveraging AI-driven BI for customer insights and performance optimization. As decision-making becomes more complex, AI integration continues to fuel market expansion.

Restraint:

Resistance to change in organizations

Many enterprises struggle to adopt AI-driven BI due to cultural barriers and reliance on traditional methods. Employees may be hesitant to trust automated insights over human judgment. Training and change management add further challenges to adoption. Smaller firms often lack resources to implement advanced BI solutions. Despite clear benefits, organizational resistance slows the pace of transformation.

Opportunity:

Self-service AI-powered BI platforms

Self-service AI-powered BI platforms present a major opportunity for the market. These solutions empower non-technical users to access insights without relying on IT teams. AI-driven automation simplifies data preparation, visualization, and reporting. Enterprises are adopting self-service BI to improve agility and democratize analytics. Partnerships between BI vendors and cloud providers are accelerating innovation in user-friendly platforms. As demand for accessible analytics grows, self-service AI BI is expected to expand rapidly.

Threat:

Data accuracy and quality issues

Poorly curated datasets can lead to misleading insights and flawed decisions. Enterprises risk reputational damage and financial losses due to unreliable analytics. Ensuring data integrity across multiple sources remains a challenge. Regulatory compliance adds further complexity to maintaining accuracy. This threat underscores the importance of robust data governance in BI systems.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the AI in business intelligence market. Supply chain disruptions and workforce limitations slowed technology deployments. However, the surge in remote work and digital transformation boosted demand for BI solutions. Enterprises accelerated adoption of AI-driven tools to manage uncertainty and optimize operations. Cloud-based BI platforms gained traction as organizations sought resilience and scalability. Overall, COVID-19 created short-term challenges but reinforced long-term momentum for AI in business intelligence.

The augmented analytics segment is expected to be the largest during the forecast period

The augmented analytics segment is expected to account for the largest market share during the forecast period owing to its ability to automate data preparation, insight generation, and visualization using AI. Enterprises rely on augmented analytics to reduce manual effort and improve accuracy. Continuous innovation in natural language processing and machine learning strengthens adoption. Industries with complex data needs prioritize augmented analytics for scalability. Cloud-based platforms further accelerate deployment across enterprises. With rising demand for automation, this segment is expected to dominate the market.

The natural language query segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the natural language query segment is predicted to witness the highest growth rate as enterprises increasingly adopt conversational interfaces to simplify BI usage. Natural language queries allow users to interact with BI systems using everyday language. This reduces barriers for non-technical employees and democratizes access to insights. Advances in NLP algorithms are improving accuracy and usability. Enterprises are investing in these solutions to enhance productivity and decision-making.

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 BI vendors, and high adoption of AI across industries. The U.S. leads with major players investing in AI-driven BI platforms. Robust demand for analytics in healthcare, finance, and government strengthens regional leadership. Government-backed initiatives in AI R&D further accelerate adoption. Partnerships between enterprises and startups drive innovation in BI 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 BI technologies. Countries such as China, India, and South Korea are deploying large-scale BI 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 in Business Intelligence Market include Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, Google LLC, Salesforce Inc., Tableau Software, Qlik Technologies, TIBCO Software, Domo Inc., Zoho Corporation, ThoughtSpot, Sisense Inc., MicroStrategy Incorporated and Yellowfin BI.

Key Developments:

In February 2026, Yellowfin introduced AI-driven BI storytelling features. The launch reinforced its competitiveness in visualization and strengthened adoption in corporate analytics.

In November 2025, ThoughtSpot launched AI-driven search-based analytics for enterprises. The initiative reinforced its competitiveness in self-service BI and strengthened adoption in corporate environments.

Solution Types Covered:

  • Self-Service BI
  • Embedded BI
  • Mobile BI
  • Augmented Analytics
  • Other BI Solutions

Components Covered:

  • BI Platforms
  • Data Visualization Tools
  • Data Integration Tools
  • Query & Reporting Tools
  • Analytics Engines
  • Other Components

Deployment Modes Covered:

  • On-Premise
  • Cloud-Based

Technologies Covered:

  • Natural Language Query
  • Automated Insights Generation
  • Predictive Analytics Integration
  • AI-Powered Dashboards
  • Data Storytelling
  • Other Technologies

End Users Covered:

  • Enterprises
  • SMEs
  • Government Organizations
  • Financial Institutions
  • Retail & E-commerce
  • 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 in Business Intelligence Market, By Solution Type

  • 5.1 Self-Service BI
  • 5.2 Embedded BI
  • 5.3 Mobile BI
  • 5.4 Augmented Analytics
  • 5.5 Other BI Solutions

6 Global AI in Business Intelligence Market, By Component

  • 6.1 BI Platforms
  • 6.2 Data Visualization Tools
  • 6.3 Data Integration Tools
  • 6.4 Query & Reporting Tools
  • 6.5 Analytics Engines
  • 6.6 Other Components

7 Global AI in Business Intelligence Market, By Deployment Mode

  • 7.1 On-Premise
  • 7.2 Cloud-Based

8 Global AI in Business Intelligence Market, By Technology

  • 8.1 Natural Language Query
  • 8.2 Automated Insights Generation
  • 8.3 Predictive Analytics Integration
  • 8.4 AI-Powered Dashboards
  • 8.5 Data Storytelling
  • 8.6 Other Technologies

9 Global AI in Business Intelligence Market, By End User

  • 9.1 Enterprises
  • 9.2 SMEs
  • 9.3 Government Organizations
  • 9.4 Financial Institutions
  • 9.5 Retail & E-commerce
  • 9.6 Other End Users

10 Global AI in Business Intelligence 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 Microsoft Corporation
  • 13.2 IBM Corporation
  • 13.3 Oracle Corporation
  • 13.4 SAP SE
  • 13.5 Google LLC
  • 13.6 Salesforce Inc.
  • 13.7 Tableau Software
  • 13.8 Qlik Technologies
  • 13.9 TIBCO Software
  • 13.10 Domo Inc.
  • 13.11 Zoho Corporation
  • 13.12 ThoughtSpot
  • 13.13 Sisense Inc.
  • 13.14 MicroStrategy Incorporated
  • 13.15 Yellowfin BI

List of Tables

  • Table 1 Global AI in Business Intelligence Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI in Business Intelligence Market, By Solution Type (2023-2034) ($MN)
  • Table 3 Global AI in Business Intelligence Market, By Self-Service BI (2023-2034) ($MN)
  • Table 4 Global AI in Business Intelligence Market, By Embedded BI (2023-2034) ($MN)
  • Table 5 Global AI in Business Intelligence Market, By Mobile BI (2023-2034) ($MN)
  • Table 6 Global AI in Business Intelligence Market, By Augmented Analytics (2023-2034) ($MN)
  • Table 7 Global AI in Business Intelligence Market, By Other BI Solutions (2023-2034) ($MN)
  • Table 8 Global AI in Business Intelligence Market, By Component (2023-2034) ($MN)
  • Table 9 Global AI in Business Intelligence Market, By BI Platforms (2023-2034) ($MN)
  • Table 10 Global AI in Business Intelligence Market, By Data Visualization Tools (2023-2034) ($MN)
  • Table 11 Global AI in Business Intelligence Market, By Data Integration Tools (2023-2034) ($MN)
  • Table 12 Global AI in Business Intelligence Market, By Query & Reporting Tools (2023-2034) ($MN)
  • Table 13 Global AI in Business Intelligence Market, By Analytics Engines (2023-2034) ($MN)
  • Table 14 Global AI in Business Intelligence Market, By Other Components (2023-2034) ($MN)
  • Table 15 Global AI in Business Intelligence Market, By Deployment Mode (2023-2034) ($MN)
  • Table 16 Global AI in Business Intelligence Market, By On-Premise (2023-2034) ($MN)
  • Table 17 Global AI in Business Intelligence Market, By Cloud-Based (2023-2034) ($MN)
  • Table 18 Global AI in Business Intelligence Market, By Technology (2023-2034) ($MN)
  • Table 19 Global AI in Business Intelligence Market, By Natural Language Query (2023-2034) ($MN)
  • Table 20 Global AI in Business Intelligence Market, By Automated Insights Generation (2023-2034) ($MN)
  • Table 21 Global AI in Business Intelligence Market, By Predictive Analytics Integration (2023-2034) ($MN)
  • Table 22 Global AI in Business Intelligence Market, By AI-Powered Dashboards (2023-2034) ($MN)
  • Table 23 Global AI in Business Intelligence Market, By Data Storytelling (2023-2034) ($MN)
  • Table 24 Global AI in Business Intelligence Market, By Other Technologies (2023-2034) ($MN)
  • Table 25 Global AI in Business Intelligence Market, By End User (2023-2034) ($MN)
  • Table 26 Global AI in Business Intelligence Market, By Enterprises (2023-2034) ($MN)
  • Table 27 Global AI in Business Intelligence Market, By SMEs (2023-2034) ($MN)
  • Table 28 Global AI in Business Intelligence Market, By Government Organizations (2023-2034) ($MN)
  • Table 29 Global AI in Business Intelligence Market, By Financial Institutions (2023-2034) ($MN)
  • Table 30 Global AI in Business Intelligence Market, By Retail & E-commerce (2023-2034) ($MN)
  • Table 31 Global AI in Business Intelligence 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.