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市场调查报告书
商品编码
2021718

商业智慧领域人工智慧市场：预测（至2034年）－按解决方案类型、组件、部署方式、技术、最终用户和地区进行分析

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个工作天内

价格

根据 Stratistics MRC 的数据，到 2026 年，全球商业智慧市场规模将达到 350 亿美元，预计在预测期内将以 20% 的复合年增长率成长，到 2034 年将达到 1500 亿美元。

在商业智慧，人工智慧 (AI) 指的是利用人工智慧来增强组织内部的数据分析、报告和决策流程。 AI 驱动的商业智慧 (BI) 工具提供自动化的资料准备、洞察生成、预测分析和处方分析。自然语言查询、异常检测和自动生成的仪表板等功能提高了工具的易用性和可访问性。这些系统使企业能够基于即时数据做出更快、更明智的决策。对数据驱动型策略和数位转型日益增长的需求正在推动 AI 整合到商业智慧平台中。

对数据驱动决策的需求

企业越来越依赖分析来指南策略规划和营运效率提升。人工智慧驱动的商业智慧 (BI) 工具能够更快地提供洞察、进行预测建模和产生即时报告。企业正在投资这些解决方案，以增强竞争力并降低风险。金融、医疗保健和零售等行业正在利用人工智慧主导的BI 来获取客户洞察并优化绩效。随着决策变得日益复杂，人工智慧的整合将继续推动市场扩张。

组织中对变革的抵制

由于文化障碍和对传统方法的依赖，许多公司在实施人工智慧驱动的商业智慧 (BI) 时举步维艰。员工可能不愿意相信自动化洞察，而更倾向于相信人类的判断。培训和变革管理也为推广应用带来了进一步的挑战。中小企业 (SME) 通常缺乏实施进阶 BI 解决方案所需的资源。儘管优势显而易见，但组织内部的阻力却减缓了转型的脚步。

自助式、人工智慧驱动的商业智慧平台

自助式、人工智慧驱动的商业智慧 (BI) 平台蕴藏着巨大的市场机会。这些解决方案使不具备技术专长的使用者无需依赖 IT 团队即可获得洞察。人工智慧驱动的自动化简化了资料准备、视觉化和报告流程。企业正在采用自助式 BI 来提高敏捷性并普及分析。 BI 供应商与云端服务供应商之间的合作正在加速使用者友善平台的创新。随着对易用型分析工具的需求不断增长，自助式 AI BI 预计将迅速发展。

与数据准确性和品质相关的挑战

管理不善的资料集会导致误导性洞察和错误决策。不可靠的分析会为企业带来声誉损害和经济损失的风险。确保跨多个资料来源的资料一致性仍然是一项挑战。监管合规性进一步增加了维护资料准确性的复杂性。这项威胁凸显了在商业智慧系统中建立健全资料管治的重要性。

新冠疫情的影响：

新冠疫情对商业智慧的人工智慧市场产生了复杂的影响。供应链中断和人才短缺减缓了技术应用的普及。然而，远距办公和数位转型的激增提升了对商业智慧解决方案的需求。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。随着企业寻求更高的弹性和可扩展性，基于云端的商业智慧平台获得了广泛关注。总而言之，儘管新冠疫情带来了短期挑战，但它巩固了人工智慧在商业智慧的长期发展势头。

在预测期内，增强分析领域预计将占据最大份额。

由于增强分析能够利用人工智慧自动完成数据准备、洞察生成和视觉化，预计在预测期内，该细分市场将占据最大的市场份额。企业正依靠增强分析来减少人工工作量并提高准确性。自然语言处理和机器学习领域的持续创新正在推动其应用。数据需求复杂的产业正在优先考虑增强分析，以确保可扩展性。云端平台进一步加速了企业对增强分析的采用。随着自动化需求的成长，预计该细分市场将占据主导地位。

在预测期内，自然语言查询细分市场预计将呈现最高的复合年增长率。

在预测期内，随着企业越来越多地采用对话式介面来简化商业智慧 (BI) 的使用，自然语言查询领域预计将呈现最高的成长率。自然语言查询允许使用者使用日常语言与 BI 系统进行互动。这降低了缺乏技术知识的员工的使用门槛，并使更多人能够获得洞察。自然语言处理 (NLP) 演算法的进步正在提高准确性和易用性。企业正在投资这些解决方案，以提高生产力和决策效率。

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、成熟的商业智慧 (BI) 供应商以及跨行业的 AI 应用。美国在该领域处于领先地位，主要企业在投资 AI 驱动的 BI 平台。医疗保健、金融和政府部门对分析的强劲需求巩固了该地区的主导地位。政府主导的AI 研发倡议正在进一步加速其应用。企业与Start-Ups之间的伙伴关係正在推动 BI 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商业智慧（BI）技术投资的增加。中国、印度和韩国等国正在部署大规模的BI专案以支援人工智慧的应用。区域内的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：

订阅本报告的用户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他公司（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）
  • 区域分类
    • 根据客户兴趣量身定制的主要国家/地区的市场估算、预测和复合年增长率（註：基于可行性检查）
  • 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
  • 成长要素、挑战与机会
  • 竞争格局概述
  • 战略考虑和建议

第二章：分析框架

  • 分析的目标和范围
  • 相关人员分析
  • 分析的前提条件与限制
  • 分析方法

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
  • 科技与创新趋势
  • 新兴市场和高成长市场
  • 监管和政策环境
  • 感染疾病的影响及恢復前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商议价能力
    • 买方的议价能力
    • 替代产品的威胁
    • 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：全球商业智慧的人工智慧市场：按解决方案类型划分

  • 自助式商业智能
  • 嵌入式商业智能
  • 行动商业智能
  • 增强型分析
  • 其他商业智慧解决方案

第六章：全球商业智慧中的人工智慧市场：按组件划分

  • BI平台
  • 数据视觉化工具
  • 资料整合工具
  • 查询和报表建立工具
  • 分析引擎
  • 其他规则

第七章：全球商业智慧中的人工智慧市场：按部署方式划分

  • 现场
  • 基于云端的

第八章：全球商业智慧中的人工智慧市场：按技术划分

  • 自然语言查询
  • 自动产生洞察
  • 预测分析的整合
  • 人工智慧驱动的仪表板
  • 数据叙事
  • 其他技术

第九章：全球商业智慧市场：按最终用户划分

  • 公司
  • 小型企业
  • 政府机构
  • 金融机构
  • 零售与电子商务
  • 其他最终用户

第十章：全球商业智慧市场：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

  • 产业加值网络与供应链评估
  • 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

  • 企业合併（M&A）
  • 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

  • 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.