Summary

The global AI Business Intelligence Agents market is projected to grow from US$ 1780 million in 2025 to US$ 10318 million by 2032, at a CAGR of 26.8% (2026-2032), driven by critical product segments and diverse end‑use applications.
AI Business Intelligence Agents are enterprise software products that combine large language models, governed semantic models, business metrics, analytical engines, and agent-based planning capabilities to perform business intelligence and data analysis tasks with a higher degree of autonomy. These products allow users to express analytical objectives in natural language and can identify relevant enterprise data, select appropriate metrics and analytical methods, execute governed queries or analytical tools, and iteratively perform calculations, trend analysis, anomaly detection, root-cause investigation, forecasting, visualization, and report generation. More advanced AI Business Intelligence Agents can continuously monitor business indicators, initiate follow-up investigations, recommend next actions, and connect analytical conclusions with authorized enterprise workflows. The research scope focuses on standardized commercial software that performs substantive analytical work within governed enterprise data environments, covering applications such as financial and management reporting, sales and marketing analytics, customer and product analytics, operations, supply chain, manufacturing, and cross-functional management analysis.
Key Findings
The core formal supplier universe includes 36 verified providers spanning cloud platforms, established BI vendors, and AI-native analytics companies
North America has the deepest supplier base, while China has developed a substantial localized AI Business Intelligence Agents ecosystem
Product development is shifting from conversational query assistance toward multi-step analysis, proactive monitoring, and governed action execution
Commercial models increasingly combine user subscriptions, platform capacity, AI credits, analytical consumption, and enterprise-wide licensing
Market Trends
AI Business Intelligence Agents are evolving from conversational BI interfaces into systems capable of undertaking broader portions of the analytical workflow. Natural-language querying and automated visualization are increasingly becoming baseline capabilities, while competitive differentiation is moving toward multi-step task planning, semantic understanding, analytical verification, proactive monitoring, and connections between insights and business actions. Enterprise semantic layers and governed metric systems are consequently becoming more important because an analytical agent must understand business definitions, permissions, and contextual relationships before it can reliably operate on enterprise data. Another visible direction is the extension of agents beyond dashboards: analytical capabilities are being embedded into collaboration tools, CRM and ERP environments, data platforms, and operational applications so that users can obtain insights within existing workflows. Major BI platforms are also strengthening centralized governance, observability, action orchestration, and human approval mechanisms, indicating that AI Business Intelligence Agents are developing from productivity assistants into governed enterprise analytical infrastructure.
Market Dynamics
Drivers
Demand for AI Business Intelligence Agents is being driven by the persistent shortage of analytical capacity inside enterprises and the need to shorten the time between business questions and usable decisions. Large organizations often maintain complex data environments but still depend on analysts to translate management questions into queries, dashboards, and diagnostic analyses. Agent-based analytics can automate portions of this process and extend analytical access to business users without requiring every user to master SQL or traditional BI authoring. Improvements in large language models, enterprise semantic layers, retrieval techniques, tool calling, and governed data platforms are also improving the reliability of business-oriented analytical agents. At the same time, organizations are seeking to extract more value from existing investments in data warehouses, lakehouses, and BI platforms, making AI-enabled analytical interfaces a relatively natural extension of established data infrastructure.
Restraints
The principal restraint is not access to foundation models but the quality and governance of enterprise data. Business questions frequently depend on company-specific metric definitions, accounting rules, organizational hierarchies, permissions, and exceptions that cannot be inferred reliably from raw tables alone. Weak semantic governance can therefore produce technically valid but commercially misleading answers. Deployment costs can also rise when organizations need to redesign metric layers, clean metadata, establish knowledge bases, and create validation workflows before agents can be trusted. In addition, many vendors package AI functionality through combinations of seats, credits, model usage, compute capacity, or premium editions, which can make total cost of ownership difficult to predict. Highly regulated enterprises remain cautious about autonomous analytical actions because incorrect recommendations or workflow execution may create operational, compliance, or financial consequences.
Opportunities
The largest opportunities lie in shifting AI Business Intelligence Agents from occasional question-answering tools toward persistent analytical workers that manage repeatable business processes. Periodic management reviews, budget variance analysis, sales pipeline diagnostics, inventory exceptions, customer retention monitoring, marketing effectiveness, and operational performance analysis all contain recurring analytical patterns that can be formalized as agent skills or workflows. Private deployment and controlled-model architectures also create opportunities in financial services, government-related organizations, healthcare, manufacturing, and other environments where data residency and security requirements limit the use of fully public SaaS services. A further opportunity is embedded analytics: software vendors can integrate analytical agents directly into ERP, CRM, vertical SaaS, and industry applications, allowing analysis to occur inside operational systems rather than requiring users to switch to separate BI environments.
Challenges
The long-term challenge is establishing sufficient trust for analytical agents to move from answering questions to influencing or executing decisions. Accuracy must be maintained across changing schemas, definitions, permissions, and business conditions, while the system also needs to expose the evidence and analytical path behind important conclusions. Vendors must balance agent autonomy with human control, particularly when workflows include write-back, workflow initiation, resource allocation, or customer-facing actions. Competitive pressure is also increasing because hyperscale cloud platforms, established BI vendors, modern analytics companies, and AI-native startups are converging on similar enterprise use cases. As basic natural-language querying and text-to-SQL capabilities become commoditized, providers will need stronger differentiation in semantic governance, analytical reasoning, observability, security, deployment flexibility, vertical knowledge, and measurable business outcomes.
Value Chain Analysis
The upstream layer of the AI Business Intelligence Agents value chain consists primarily of foundation models, cloud computing and AI infrastructure, enterprise databases and data warehouses, lakehouse environments, data integration technologies, semantic and metric layers, knowledge retrieval components, and security and identity services. These inputs provide the computing, language understanding, data access, business context, and governance required for reliable analytical agents. The middle layer is formed by AI Business Intelligence Agents software providers that combine these technologies into commercial analytical products through orchestration engines, governed query generation, visualization, multi-step reasoning, monitoring, workflow integration, and administration capabilities. Value creation increasingly depends less on simply accessing a powerful model and more on translating enterprise context into reliable analytical execution.
Downstream value is realized by enterprises and software vendors that use AI Business Intelligence Agents to reduce analyst workload, broaden access to governed data, accelerate recurring analysis, and integrate insights into operational workflows. Software economics differ from conventional seat-only BI because vendors may monetize through subscriptions, capacity, AI credits, query consumption, model usage, embedded licenses, or enterprise agreements. Gross software margins can remain structurally attractive, but inference expense, cloud compute, implementation effort, customer-specific semantic modeling, and ongoing governance can materially influence unit economics. As the technology matures, vendors that reuse governed semantic assets, agent skills, and workflows across customers are likely to achieve better scalability than providers that rely heavily on customized implementation.
Segment Insights
By product architecture, BI-platform-native and data-platform-native agents currently have the strongest enterprise distribution because they inherit existing data connections, security models, semantic assets, and installed user bases. Standalone AI data analysts and AI-native analytics platforms form a strategically important segment because they are often designed around natural-language interaction and multi-step agent workflows from inception, allowing faster experimentation with autonomous analytics. Embedded analytics agents represent another important direction as business software vendors seek to place analytical intelligence directly inside operational applications. Vertical analytics agents remain more fragmented but can achieve strong value where domain-specific metrics and workflows are sufficiently standardized.
By functional maturity, the market is progressing from conversational assisted analytics toward multi-step analytical agents, proactive analytical agents, and action-oriented agents. Query and exploration remain the most broadly commercialized functions, while diagnostic analysis, root-cause investigation, persistent KPI monitoring, and analysis-to-action orchestration represent higher-value development directions. Deployment architecture is also an important segmentation factor: public-cloud SaaS remains attractive for rapid adoption, while private-cloud, on-premises, and hybrid configurations are particularly relevant for regulated industries, large enterprises, and organizations with strict data sovereignty requirements.
Downstream Market Opportunities
The most attractive downstream opportunities are found in business functions where analytical questions recur frequently, data is sufficiently structured, and decisions benefit from rapid diagnosis. Finance and management reporting can use agents to explain variances and prepare recurring performance reviews; sales and marketing organizations can automate pipeline, campaign, and customer analyses; operations and supply-chain teams can use continuous monitoring to investigate exceptions; and manufacturing enterprises can connect production, quality, inventory, and operating data to management analysis. Cross-functional executive analytics is another important opportunity because AI Business Intelligence Agents can potentially unify questions across multiple data domains and provide contextual explanations rather than requiring executives to navigate separate dashboards. The addressable opportunity expands further as agents become embedded in collaboration and operational applications, shifting analytics from a specialist activity toward a continuous capability available at the point of decision.
Regional Insights
North America represents the most developed supply ecosystem for AI Business Intelligence Agents, supported by the concentration of hyperscale cloud platforms, major BI vendors, modern data infrastructure companies, and AI-native analytics startups. The region also benefits from a large installed base of enterprise cloud data platforms and relatively rapid adoption of generative AI software. Europe has a smaller supplier base but maintains meaningful positions in enterprise planning, governed analytics, embedded BI, and specialized AI analytics, with data protection and deployment control influencing product design. China has emerged as the strongest localized ecosystem outside North America, combining major cloud platforms with established domestic BI suppliers and newer agent-focused products; private deployment, domestic database compatibility, permission governance, and localized semantic modeling are important differentiators.
Japan and South Korea remain earlier-stage supplier markets but are seeing the emergence of dedicated data-analysis agents and regionally developed enterprise AI products. India combines a major SaaS supplier base with AI engineering capability, although the number of clearly specialized AI Business Intelligence Agents platforms remains more limited than in North America and China. Southeast Asia and Taiwan currently rely more heavily on international software and local implementation ecosystems than on large numbers of independent specialist platforms. Over time, regional opportunities are likely to be shaped less by model availability and more by data sovereignty, language support, enterprise deployment requirements, and integration with local business software ecosystems.
Competitive Landscape Analysis
The competitive landscape of AI Business Intelligence Agents is characterized by coexistence rather than a settled oligopoly. Large cloud and enterprise software groups compete from a position of installed-base strength, broad data infrastructure, security capabilities, and distribution, while established BI vendors are extending traditional analytics platforms with conversational interfaces, semantic intelligence, proactive monitoring, and agent orchestration. AI-native and modern analytics vendors compete through product velocity, simplified user experiences, multi-step analytical reasoning, and architectures designed around agents rather than dashboards. The core formal supplier universe identified in this study therefore contains 36 verified providers rather than only a small group of global software leaders. Competition is increasingly centered on trusted semantic context, analytical accuracy, traceability, governance, integration depth, and the ability to convert insight into controlled action. Recent product developments across global and Chinese vendors also indicate that multi-agent collaboration, governed metric layers, private deployment, and agent-executable analytical workflows are becoming increasingly important. As basic conversational BI becomes easier to replicate, sustainable differentiation is likely to depend on enterprise trust, reusable analytical skills, embedded distribution, and the ability to demonstrate measurable improvements in analytical productivity.
Report Scope
This definitive report equips business leaders, decision-makers, and stakeholders with a 360° view of the global AI Business Intelligence Agents market across value chain. It analyzes historical revenue data (2021–2025) and delivers forecasts through 2032, illuminating demand trends and growth drivers.
By segmenting the market by Type and by Application, the study quantifies market size, growth rates, niche opportunities, and substitution risks, and analyzes downstream customer distribution pattern.
Granular regional insights cover five major markets (North America, Europe, APAC, South America, and MEA) with in‑depth analysis of 20+ countries, detailing dominant products, competitive landscape, and downstream demand trends.
Critical competitive intelligence profiles players (revenue, margins, pricing strategies, and major customers) and dissects the top-player positioning across product lines, applications, and regions to reveal strategic strengths.
A concise Industry‑chain overview maps upstream, middle stream, and downstream distribution dynamics to identify strategic gaps and unmet demand.
Market Segmentation
By Company
Microsoft Corporation
Salesforce, Inc.
Alphabet Inc.
ThoughtSpot, Inc.
Amazon.com, Inc.
Qlik
Sigma Computing, Inc.
Snowflake Inc.
Databricks, Inc.
Oracle Corporation
Alibaba Group Holding Limited
IBM Corporation
Zoho Corporation Pvt. Ltd.
Hex Technologies, Inc.
Alteryx, Inc.
Domo, Inc.
Omni Analytics, Inc.
Tellius, Inc.
Incorta, Inc.
Tencent Holdings Limited
Guangzhou SmartBI Software Co., Ltd.
Board International SA
Hangzhou GuanData Co., Ltd.
ByteDance
AnswerRocket
Seek AI, Inc.
Beijing HENGSHI Technology Co., Ltd.
Veezoo AG
Telescope Technology Limited
Push AI, Inc.
CODATUM
Mirogos Inc.
SoftBank Corp.
MCloudBridge
Segment by Type
BI Platform-native Analytics Agent
Data Platform-native Analytics Agent
Standalone AI Data Analyst
Embedded Analytics Agent
Others
Segment by Level of Agent Autonomy
Conversational Assisted Analytics
Multi-step Analytical Agent
Proactive Analytics Agent
Action-oriented Analytics Agent
Others
Segment by Deployment Model
Cloud-based
On-Premise
Segment by Application
Finance and Management Reporting
Sales and Marketing
Customer and Product Analytics
Others
Segment by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
Japan
South Korea
India
Australia
Vietnam
Indonesia
Malaysia
Philippines
Singapore
Rest of Asia
Europe
Germany
U.K.
France
Italy
Spain
Benelux
Russia
Rest of Europe
Central and South America
Brazil
Argentina
Rest of Central and South America
Middle East & Africa
GCC Countries
Egypt
Israel
South Africa
Rest of MEA
Chapter Outline
Chapter 1: Defines the AI Business Intelligence Agents study scope, segments the market by Type and by Application, etc, highlights segment size and growth potential
Chapter 2: Offers current market state, projects global revenue and sales to 2032, pinpointing high consumption regions and emerging market catalysts
Chapter 3: Dissects the player landscape: ranks by revenue and profitability, details Player performance by product type and evaluates concentration alongside M&A moves
Chapter 4: Unlocks high margin product segments: compares revenue, ASP, and technology differentiators, highlighting growth niches and substitution risks
Chapter 5: Targets downstream market opportunities: evaluates market size by Application, identifies emerging use cases, and profiles leading customers by region and by Application
Chapter 6: North America: breaks down market size by Application and country, profiles key players and assesses growth drivers and barriers
Chapter 7: Europe: analyses regional market by Application and players, flagging drivers and barriers
Chapter 8: Asia Pacific: quantifies market size by Application, and region/country, profiles top players, and uncovers high potential expansion areas
Chapter 9: Central & South America: measures market size by Application, and country, profiles top players, and identifies investment opportunities and challenges
Chapter 10: Middle East and Africa: evaluates market size by Application, and country, profiles key players, and outlines investment prospects and market hurdles
Chapter 11: Profiles players in depth: details product specs, revenue, margins; top-tier players 2025 sales breakdowns by product type, by Application, by region SWOT analysis, and recent strategic developments
Chapter 12: Value chain and ecosystem: analyses upstream, midstream, plus downstream channels
Chapter 13: Market dynamics: explores drivers, restraints, regulatory impacts, and risk mitigation strategies
Chapter 14: Actionable conclusions and strategic recommendations.
Why This Report
Beyond standard market data, this analysis provides a clear profitability roadmap, empowering you to:
Allocate capital strategically to high growth regions (Chapters 6-10) and margin rich segments (Chapter 5).
Negotiate from strength with suppliers (Chapter 12) and customers (Chapter 5) using cost and demand intelligence.
Outmaneuver competitors with granular insights into their operations, margins, and strategies (Chapters 3 and 11).
Capitalize on the projected billion‑dollar opportunity with data‑driven regional and segment tactics (Chapter 12-14).
Leverage this 360° intelligence to turn market complexity into actionable competitive advantage.

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Table of Contents

1 Study Coverage
1.1 Introduction to AI Business Intelligence Agents: Definition, Properties, and Key Attributes
1.2 Market Segmentation by Type
1.2.1 Global AI Business Intelligence Agents Market Size by Type, 2021 vs 2025 vs 2032
1.2.2 BI Platform-native Analytics Agent
1.2.3 Data Platform-native Analytics Agent
1.2.4 Standalone AI Data Analyst
1.2.5 Embedded Analytics Agent
1.2.6 Others
1.3 Market Segmentation by Level of Agent Autonomy
1.3.1 Global AI Business Intelligence Agents Market Size by Level of Agent Autonomy, 2021 vs 2025 vs 2032
1.3.2 Conversational Assisted Analytics
1.3.3 Multi-step Analytical Agent
1.3.4 Proactive Analytics Agent
1.3.5 Action-oriented Analytics Agent
1.3.6 Others
1.4 Market Segmentation by Deployment Model
1.4.1 Global AI Business Intelligence Agents Market Size by Deployment Model, 2021 vs 2025 vs 2032
1.4.2 Cloud-based
1.4.3 On-Premise
1.5 Market Segmentation by Application
1.5.1 Global AI Business Intelligence Agents Market Size by Application, 2021 vs 2025 vs 2032
1.5.2 Finance and Management Reporting
1.5.3 Sales and Marketing
1.5.4 Customer and Product Analytics
1.5.5 Others
1.6 Assumptions and Limitations
1.7 Study Objectives
1.8 Years Considered

2 Executive Summary
2.1 Global AI Business Intelligence Agents Revenue Estimates and Forecasts (2021-2032)
2.2 Global AI Business Intelligence Agents Revenue by Region
2.2.1 Revenue Comparison: 2021 vs 2025 vs 2032
2.2.2 Historical and Forecasted Revenue by Region (2021-2032)
2.2.3 Global Revenue-Based Market Share by Region (2021-2032)
2.2.4 Emerging Market Focus: Growth Drivers & Investment Trends

3 Competitive Landscape
3.1 Global AI Business Intelligence Agents Players’ Revenue Rankings and Profitability
3.1.1 Global Revenue (Value) by Players (2021-2026)
3.1.2 Global Key Players’ Revenue Ranking (2024 vs 2025)
3.1.3 Revenue-Based Tier Segmentation (Tier 1, Tier 2, and Tier 3)
3.1.4 Gross Margin by Top Players (2021 vs 2025)
3.2 Global AI Business Intelligence Agents Companies Headquarters and Service Footprint
3.3 Key Player Market Share by Product Type
3.3.1 BI Platform-native Analytics Agent: Market Share by Key Players
3.3.2 Data Platform-native Analytics Agent: Market Share by Key Players
3.3.3 Standalone AI Data Analyst: Market Share by Key Players
3.3.4 Embedded Analytics Agent: Market Share by Key Players
3.3.5 Others: Market Share by Key Players
3.4 Global AI Business Intelligence Agents Market Concentration and Dynamics
3.4.1 Global Market Concentration
3.4.2 Market Entry and Exit Analysis
3.4.3 Strategic Moves: M&A, Expansion, R&D Investment

4 Product Segmentation
4.1 Global AI Business Intelligence Agents Market by Type
4.1.1 Global Revenue by Type (2021-2032)
4.1.2 Global Revenue-Based Market Share by Type (2021-2032)
4.2 Global AI Business Intelligence Agents Market by Level of Agent Autonomy
4.2.1 Global Revenue by Level of Agent Autonomy (2021-2032)
4.2.2 Global Revenue-Based Market Share by Level of Agent Autonomy (2021-2032)
4.3 Global AI Business Intelligence Agents Market by Deployment Model
4.3.1 Global Revenue by Deployment Model (2021-2032)
4.3.2 Global Revenue-Based Market Share by Deployment Model (2021-2032)
4.4 Key Product Attributes and Differentiation
4.5 Subtype Dynamics: Growth Leaders, Profitability and Risk
4.5.1 High-Growth Niches and Adoption Drivers
4.5.2 Profitability Hotspots and Cost Drivers
4.5.3 Substitution Threats

5 Downstream Applications and Customers
5.1 Global AI Business Intelligence Agents Revenue by Application
5.1.1 Global Historical and Forecasted Revenue by Application (2021-2032)
5.1.2 Revenue-Based Market Share by Application (2021-2032)
5.1.3 High-Growth Application Identification
5.1.4 Emerging Application Case Studies
5.2 Downstream Customer Analysis
5.2.1 Top Customers by Region
5.2.2 Top Customers by Application

6 North America
6.1 North America Market Size (2021-2032)
6.2 North America Key Players’ Revenue in 2025
6.3 North America AI Business Intelligence Agents Market Size by Application (2021-2032)
6.4 North America Growth Accelerators and Market Barriers
6.5 North America AI Business Intelligence Agents Market Size by Country
6.5.1 North America Revenue Trends by Country
6.5.2 US
6.5.3 Canada
6.5.4 Mexico

7 Europe
7.1 Europe Market Size (2021-2032)
7.2 Europe Key Players’ Revenue in 2025
7.3 Europe AI Business Intelligence Agents Market Size by Application (2021-2032)
7.4 Europe Growth Accelerators and Market Barriers
7.5 Europe AI Business Intelligence Agents Market Size by Country
7.5.1 Europe Revenue Trends by Country
7.5.2 Germany
7.5.3 France
7.5.4 U.K.
7.5.5 Italy
7.5.6 Russia

8 Asia-Pacific
8.1 Asia-Pacific Market Size (2021-2032)
8.2 Asia-Pacific Key Players’ Revenue in 2025
8.3 Asia-Pacific AI Business Intelligence Agents Market Size by Application (2021-2032)
8.4 Asia-Pacific Growth Accelerators and Market Barriers
8.5 Asia-Pacific AI Business Intelligence Agents Market Size by Region
8.5.1 Asia-Pacific Revenue Trends by Region
8.6 China
8.7 Japan
8.8 South Korea
8.9 Australia
8.10 India
8.11 Southeast Asia
8.11.1 Indonesia
8.11.2 Vietnam
8.11.3 Malaysia
8.11.4 Philippines
8.11.5 Singapore

9 Central and South America
9.1 Central and South America Market Size (2021-2032)
9.2 Central and South America Key Players’ Revenue in 2025
9.3 Central and South America AI Business Intelligence Agents Market Size by Application (2021-2032)
9.4 Central and South America Investment Opportunities and Key Challenges
9.5 Central and South America AI Business Intelligence Agents Market Size by Country
9.5.1 Central and South America Revenue Trends by Country (2021 vs 2025 vs 2032)
9.5.2 Brazil
9.5.3 Argentina

10 Middle East and Africa
10.1 Middle East and Africa Market Size (2021-2032)
10.2 Middle East and Africa Key Players’ Revenue in 2025
10.3 Middle East and Africa AI Business Intelligence Agents Market Size by Application (2021-2032)
10.4 Middle East and Africa Investment Opportunities and Key Challenges
10.5 Middle East and Africa AI Business Intelligence Agents Market Size by Country
10.5.1 Middle East and Africa Revenue Trends by Country (2021 vs 2025 vs 2032)
10.5.2 GCC Countries
10.5.3 Israel
10.5.4 Egypt
10.5.5 South Africa

11 Corporate Profile
11.1 Microsoft Corporation
11.1.1 Microsoft Corporation Corporation Information
11.1.2 Microsoft Corporation Business Overview
11.1.3 Microsoft Corporation AI Business Intelligence Agents Product Features and Attributes
11.1.4 Microsoft Corporation AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.1.5 Microsoft Corporation AI Business Intelligence Agents Revenue by Product in 2025
11.1.6 Microsoft Corporation AI Business Intelligence Agents Revenue by Application in 2025
11.1.7 Microsoft Corporation AI Business Intelligence Agents Revenue by Geographic Area in 2025
11.1.8 Microsoft Corporation AI Business Intelligence Agents SWOT Analysis
11.1.9 Microsoft Corporation Recent Developments
11.2 Salesforce, Inc.
11.2.1 Salesforce, Inc. Corporation Information
11.2.2 Salesforce, Inc. Business Overview
11.2.3 Salesforce, Inc. AI Business Intelligence Agents Product Features and Attributes
11.2.4 Salesforce, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.2.5 Salesforce, Inc. AI Business Intelligence Agents Revenue by Product in 2025
11.2.6 Salesforce, Inc. AI Business Intelligence Agents Revenue by Application in 2025
11.2.7 Salesforce, Inc. AI Business Intelligence Agents Revenue by Geographic Area in 2025
11.2.8 Salesforce, Inc. AI Business Intelligence Agents SWOT Analysis
11.2.9 Salesforce, Inc. Recent Developments
11.3 Alphabet Inc.
11.3.1 Alphabet Inc. Corporation Information
11.3.2 Alphabet Inc. Business Overview
11.3.3 Alphabet Inc. AI Business Intelligence Agents Product Features and Attributes
11.3.4 Alphabet Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.3.5 Alphabet Inc. AI Business Intelligence Agents Revenue by Product in 2025
11.3.6 Alphabet Inc. AI Business Intelligence Agents Revenue by Application in 2025
11.3.7 Alphabet Inc. AI Business Intelligence Agents Revenue by Geographic Area in 2025
11.3.8 Alphabet Inc. AI Business Intelligence Agents SWOT Analysis
11.3.9 Alphabet Inc. Recent Developments
11.4 ThoughtSpot, Inc.
11.4.1 ThoughtSpot, Inc. Corporation Information
11.4.2 ThoughtSpot, Inc. Business Overview
11.4.3 ThoughtSpot, Inc. AI Business Intelligence Agents Product Features and Attributes
11.4.4 ThoughtSpot, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.4.5 ThoughtSpot, Inc. AI Business Intelligence Agents Revenue by Product in 2025
11.4.6 ThoughtSpot, Inc. AI Business Intelligence Agents Revenue by Application in 2025
11.4.7 ThoughtSpot, Inc. AI Business Intelligence Agents Revenue by Geographic Area in 2025
11.4.8 ThoughtSpot, Inc. AI Business Intelligence Agents SWOT Analysis
11.4.9 ThoughtSpot, Inc. Recent Developments
11.5 Amazon.com, Inc.
11.5.1 Amazon.com, Inc. Corporation Information
11.5.2 Amazon.com, Inc. Business Overview
11.5.3 Amazon.com, Inc. AI Business Intelligence Agents Product Features and Attributes
11.5.4 Amazon.com, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.5.5 Amazon.com, Inc. AI Business Intelligence Agents Revenue by Product in 2025
11.5.6 Amazon.com, Inc. AI Business Intelligence Agents Revenue by Application in 2025
11.5.7 Amazon.com, Inc. AI Business Intelligence Agents Revenue by Geographic Area in 2025
11.5.8 Amazon.com, Inc. AI Business Intelligence Agents SWOT Analysis
11.5.9 Amazon.com, Inc. Recent Developments
11.6 Qlik
11.6.1 Qlik Corporation Information
11.6.2 Qlik Business Overview
11.6.3 Qlik AI Business Intelligence Agents Product Features and Attributes
11.6.4 Qlik AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.6.5 Qlik Recent Developments
11.7 Sigma Computing, Inc.
11.7.1 Sigma Computing, Inc. Corporation Information
11.7.2 Sigma Computing, Inc. Business Overview
11.7.3 Sigma Computing, Inc. AI Business Intelligence Agents Product Features and Attributes
11.7.4 Sigma Computing, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.7.5 Sigma Computing, Inc. Recent Developments
11.8 Snowflake Inc.
11.8.1 Snowflake Inc. Corporation Information
11.8.2 Snowflake Inc. Business Overview
11.8.3 Snowflake Inc. AI Business Intelligence Agents Product Features and Attributes
11.8.4 Snowflake Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.8.5 Snowflake Inc. Recent Developments
11.9 Databricks, Inc.
11.9.1 Databricks, Inc. Corporation Information
11.9.2 Databricks, Inc. Business Overview
11.9.3 Databricks, Inc. AI Business Intelligence Agents Product Features and Attributes
11.9.4 Databricks, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.9.5 Databricks, Inc. Recent Developments
11.10 Oracle Corporation
11.10.1 Oracle Corporation Corporation Information
11.10.2 Oracle Corporation Business Overview
11.10.3 Oracle Corporation AI Business Intelligence Agents Product Features and Attributes
11.10.4 Oracle Corporation AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.10.5 Company Ten Recent Developments
11.11 Alibaba Group Holding Limited
11.11.1 Alibaba Group Holding Limited Corporation Information
11.11.2 Alibaba Group Holding Limited Business Overview
11.11.3 Alibaba Group Holding Limited AI Business Intelligence Agents Product Features and Attributes
11.11.4 Alibaba Group Holding Limited AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.11.5 Alibaba Group Holding Limited Recent Developments
11.12 IBM Corporation
11.12.1 IBM Corporation Corporation Information
11.12.2 IBM Corporation Business Overview
11.12.3 IBM Corporation AI Business Intelligence Agents Product Features and Attributes
11.12.4 IBM Corporation AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.12.5 IBM Corporation Recent Developments
11.13 Zoho Corporation Pvt. Ltd.
11.13.1 Zoho Corporation Pvt. Ltd. Corporation Information
11.13.2 Zoho Corporation Pvt. Ltd. Business Overview
11.13.3 Zoho Corporation Pvt. Ltd. AI Business Intelligence Agents Product Features and Attributes
11.13.4 Zoho Corporation Pvt. Ltd. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.13.5 Zoho Corporation Pvt. Ltd. Recent Developments
11.14 Hex Technologies, Inc.
11.14.1 Hex Technologies, Inc. Corporation Information
11.14.2 Hex Technologies, Inc. Business Overview
11.14.3 Hex Technologies, Inc. AI Business Intelligence Agents Product Features and Attributes
11.14.4 Hex Technologies, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.14.5 Hex Technologies, Inc. Recent Developments
11.15 Alteryx, Inc.
11.15.1 Alteryx, Inc. Corporation Information
11.15.2 Alteryx, Inc. Business Overview
11.15.3 Alteryx, Inc. AI Business Intelligence Agents Product Features and Attributes
11.15.4 Alteryx, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.15.5 Alteryx, Inc. Recent Developments
11.16 Domo, Inc.
11.16.1 Domo, Inc. Corporation Information
11.16.2 Domo, Inc. Business Overview
11.16.3 Domo, Inc. AI Business Intelligence Agents Product Features and Attributes
11.16.4 Domo, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.16.5 Domo, Inc. Recent Developments
11.17 Omni Analytics, Inc.
11.17.1 Omni Analytics, Inc. Corporation Information
11.17.2 Omni Analytics, Inc. Business Overview
11.17.3 Omni Analytics, Inc. AI Business Intelligence Agents Product Features and Attributes
11.17.4 Omni Analytics, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.17.5 Omni Analytics, Inc. Recent Developments
11.18 Tellius, Inc.
11.18.1 Tellius, Inc. Corporation Information
11.18.2 Tellius, Inc. Business Overview
11.18.3 Tellius, Inc. AI Business Intelligence Agents Product Features and Attributes
11.18.4 Tellius, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.18.5 Tellius, Inc. Recent Developments
11.19 Incorta, Inc.
11.19.1 Incorta, Inc. Corporation Information
11.19.2 Incorta, Inc. Business Overview
11.19.3 Incorta, Inc. AI Business Intelligence Agents Product Features and Attributes
11.19.4 Incorta, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.19.5 Incorta, Inc. Recent Developments
11.20 Tencent Holdings Limited
11.20.1 Tencent Holdings Limited Corporation Information
11.20.2 Tencent Holdings Limited Business Overview
11.20.3 Tencent Holdings Limited AI Business Intelligence Agents Product Features and Attributes
11.20.4 Tencent Holdings Limited AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.20.5 Tencent Holdings Limited Recent Developments
11.21 Guangzhou SmartBI Software Co., Ltd.
11.21.1 Guangzhou SmartBI Software Co., Ltd. Corporation Information
11.21.2 Guangzhou SmartBI Software Co., Ltd. Business Overview
11.21.3 Guangzhou SmartBI Software Co., Ltd. AI Business Intelligence Agents Product Features and Attributes
11.21.4 Guangzhou SmartBI Software Co., Ltd. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.21.5 Guangzhou SmartBI Software Co., Ltd. Recent Developments
11.22 Board International SA
11.22.1 Board International SA Corporation Information
11.22.2 Board International SA Business Overview
11.22.3 Board International SA AI Business Intelligence Agents Product Features and Attributes
11.22.4 Board International SA AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.22.5 Board International SA Recent Developments
11.23 Hangzhou GuanData Co., Ltd.
11.23.1 Hangzhou GuanData Co., Ltd. Corporation Information
11.23.2 Hangzhou GuanData Co., Ltd. Business Overview
11.23.3 Hangzhou GuanData Co., Ltd. AI Business Intelligence Agents Product Features and Attributes
11.23.4 Hangzhou GuanData Co., Ltd. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.23.5 Hangzhou GuanData Co., Ltd. Recent Developments
11.24 ByteDance
11.24.1 ByteDance Corporation Information
11.24.2 ByteDance Business Overview
11.24.3 ByteDance AI Business Intelligence Agents Product Features and Attributes
11.24.4 ByteDance AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.24.5 ByteDance Recent Developments
11.25 AnswerRocket
11.25.1 AnswerRocket Corporation Information
11.25.2 AnswerRocket Business Overview
11.25.3 AnswerRocket AI Business Intelligence Agents Product Features and Attributes
11.25.4 AnswerRocket AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.25.5 AnswerRocket Recent Developments
11.26 Seek AI, Inc.
11.26.1 Seek AI, Inc. Corporation Information
11.26.2 Seek AI, Inc. Business Overview
11.26.3 Seek AI, Inc. AI Business Intelligence Agents Product Features and Attributes
11.26.4 Seek AI, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.26.5 Seek AI, Inc. Recent Developments
11.27 Beijing HENGSHI Technology Co., Ltd.
11.27.1 Beijing HENGSHI Technology Co., Ltd. Corporation Information
11.27.2 Beijing HENGSHI Technology Co., Ltd. Business Overview
11.27.3 Beijing HENGSHI Technology Co., Ltd. AI Business Intelligence Agents Product Features and Attributes
11.27.4 Beijing HENGSHI Technology Co., Ltd. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.27.5 Beijing HENGSHI Technology Co., Ltd. Recent Developments
11.28 Veezoo AG
11.28.1 Veezoo AG Corporation Information
11.28.2 Veezoo AG Business Overview
11.28.3 Veezoo AG AI Business Intelligence Agents Product Features and Attributes
11.28.4 Veezoo AG AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.28.5 Veezoo AG Recent Developments
11.29 Telescope Technology Limited
11.29.1 Telescope Technology Limited Corporation Information
11.29.2 Telescope Technology Limited Business Overview
11.29.3 Telescope Technology Limited AI Business Intelligence Agents Product Features and Attributes
11.29.4 Telescope Technology Limited AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.29.5 Telescope Technology Limited Recent Developments
11.30 Push AI, Inc.
11.30.1 Push AI, Inc. Corporation Information
11.30.2 Push AI, Inc. Business Overview
11.30.3 Push AI, Inc. AI Business Intelligence Agents Product Features and Attributes
11.30.4 Push AI, Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.30.5 Push AI, Inc. Recent Developments
11.31 CODATUM
11.31.1 CODATUM Corporation Information
11.31.2 CODATUM Business Overview
11.31.3 CODATUM AI Business Intelligence Agents Product Features and Attributes
11.31.4 CODATUM AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.31.5 CODATUM Recent Developments
11.32 Mirogos Inc.
11.32.1 Mirogos Inc. Corporation Information
11.32.2 Mirogos Inc. Business Overview
11.32.3 Mirogos Inc. AI Business Intelligence Agents Product Features and Attributes
11.32.4 Mirogos Inc. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.32.5 Mirogos Inc. Recent Developments
11.33 SoftBank Corp.
11.33.1 SoftBank Corp. Corporation Information
11.33.2 SoftBank Corp. Business Overview
11.33.3 SoftBank Corp. AI Business Intelligence Agents Product Features and Attributes
11.33.4 SoftBank Corp. AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.33.5 SoftBank Corp. Recent Developments
11.34 MCloudBridge
11.34.1 MCloudBridge Corporation Information
11.34.2 MCloudBridge Business Overview
11.34.3 MCloudBridge AI Business Intelligence Agents Product Features and Attributes
11.34.4 MCloudBridge AI Business Intelligence Agents Revenue and Gross Margin (2021-2026)
11.34.5 MCloudBridge Recent Developments

12 AI Business Intelligence Agents Value Chain and Ecosystem Analysis
12.1 AI Business Intelligence Agents Value Chain (Ecosystem Structure)
12.2 Upstream Analysis
12.2.1 Key Technologies, Platforms and Infrastructure
12.3 Midstream Analysis
12.4 Downstream Sales Model and Distribution Networks
12.4.1 Sales Channels
12.4.2 Distributors

13 AI Business Intelligence Agents Market Dynamics
13.1 Industry Trends and Evolution
13.2 Market Growth Drivers and Emerging Opportunities
13.3 Market Challenges, Risks, and Restraints

14 Key Findings in the Global AI Business Intelligence Agents Study

15 Appendix
15.1 Research Methodology
15.1.1 Methodology/Research Approach
15.1.1.1 Research Programs/Design
15.1.1.2 Market Size Estimation
15.1.1.3 Market Breakdown and Data Triangulation
15.1.2 Data Source
15.1.2.1 Secondary Sources
15.1.2.2 Primary Sources
15.2 Author Details

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List of Tables/Graphs

List of Tables
Table 1. Global AI Business Intelligence Agents Market Size Growth Rate by Type, 2021 vs 2025 vs 2032 (US$ Million)
Table 2. Global AI Business Intelligence Agents Market Size Growth Rate by Level of Agent Autonomy, 2021 vs 2025 vs 2032 (US$ Million)
Table 3. Global AI Business Intelligence Agents Market Size Growth Rate by Deployment Model, 2021 vs 2025 vs 2032 (US$ Million)
Table 4. Global AI Business Intelligence Agents Market Size Growth Rate by Application, 2021 vs 2025 vs 2032 (US$ Million)
Table 5. Global AI Business Intelligence Agents Revenue Grow Rate (CAGR) by Region: 2021 vs 2025 vs 2032 (US$ Million)
Table 6. Global AI Business Intelligence Agents Revenue by Region (US$ Million), 2021-2026
Table 7. Global AI Business Intelligence Agents Revenue by Region (US$ Million), 2027-2032
Table 8. Emerging Market Revenue Grow Rate (CAGR) by Country (2021 vs 2025 vs 2032) (US$ Million)
Table 9. Global AI Business Intelligence Agents Revenue by Players (US$ Million), 2021-2026
Table 10. Global AI Business Intelligence Agents Revenue-Based Market Share by Players (2021-2026)
Table 11. Global Key Players’Ranking Shift (2024 vs 2025) (Based on Revenue)
Table 12. Global Companies by Tier (Tier 1, Tier 2, and Tier 3), based on AI Business Intelligence Agents Revenue, 2025
Table 13. Global AI Business Intelligence Agents Average Gross Margin (%) by Player (2021 vs 2025)
Table 14. Global AI Business Intelligence Agents Companies Headquarters
Table 15. Global AI Business Intelligence Agents Market Concentration Ratio (CR5)
Table 16. Key Market Entrant/Exit (2021-2025) – Drivers & Impact Analysis
Table 17. Key Mergers & Acquisitions, Expansion Plans, R&D Investment
Table 18. Global AI Business Intelligence Agents Revenue by Type (US$ Million), 2021-2026
Table 19. Global AI Business Intelligence Agents Revenue by Type (US$ Million), 2027-2032
Table 20. Global AI Business Intelligence Agents Revenue by Level of Agent Autonomy (US$ Million), 2021-2026
Table 21. Global AI Business Intelligence Agents Revenue by Level of Agent Autonomy (US$ Million), 2027-2032
Table 22. Global AI Business Intelligence Agents Revenue by Deployment Model (US$ Million), 2021-2026
Table 23. Global AI Business Intelligence Agents Revenue by Deployment Model (US$ Million), 2027-2032
Table 24. Key Product Attributes and Differentiation
Table 25. Global AI Business Intelligence Agents Revenue by Application (US$ Million), 2021-2026
Table 26. Global AI Business Intelligence Agents Revenue by Application (US$ Million), 2027-2032
Table 27. AI Business Intelligence Agents High-Growth Sectors Demand CAGR (2026-2032)
Table 28. Top Customers by Region
Table 29. Top Customers by Application
Table 30. North America AI Business Intelligence Agents Growth Accelerators and Market Barriers
Table 31. North America AI Business Intelligence Agents Revenue Grow Rate (CAGR) by Country (2021 vs 2025 vs 2032) (US$ Million)
Table 32. Europe AI Business Intelligence Agents Growth Accelerators and Market Barriers
Table 33. Europe AI Business Intelligence Agents Revenue Grow Rate (CAGR) by Country: 2021 vs 2025 vs 2032 (US$ Million)
Table 34. Asia-Pacific AI Business Intelligence Agents Growth Accelerators and Market Barriers
Table 35. Asia-Pacific AI Business Intelligence Agents Revenue Grow Rate (CAGR) by Region: 2021 vs 2025 vs 2032 (US$ Million)
Table 36. Central and South America AI Business Intelligence Agents Investment Opportunities and Key Challenges
Table 37. Central and South America AI Business Intelligence Agents Revenue Grow Rate (CAGR) by Country (2021 vs 2025 vs 2032) (US$ Million)
Table 38. Middle East and Africa AI Business Intelligence Agents Investment Opportunities and Key Challenges
Table 39. Middle East and Africa AI Business Intelligence Agents Revenue Grow Rate (CAGR) by Country (2021 vs 2025 vs 2032) (US$ Million)
Table 40. Microsoft Corporation Corporation Information
Table 41. Microsoft Corporation Description and Major Businesses
Table 42. Microsoft Corporation Product Features and Attributes
Table 43. Microsoft Corporation Revenue (US$ Million) and Gross Margin (2021-2026)
Table 44. Microsoft Corporation Revenue Proportion by Product in 2025
Table 45. Microsoft Corporation Revenue Proportion by Application in 2025
Table 46. Microsoft Corporation Revenue Proportion by Geographic Area in 2025
Table 47. Microsoft Corporation AI Business Intelligence Agents SWOT Analysis
Table 48. Microsoft Corporation Recent Developments
Table 49. Salesforce, Inc. Corporation Information
Table 50. Salesforce, Inc. Description and Major Businesses
Table 51. Salesforce, Inc. Product Features and Attributes
Table 52. Salesforce, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 53. Salesforce, Inc. Revenue Proportion by Product in 2025
Table 54. Salesforce, Inc. Revenue Proportion by Application in 2025
Table 55. Salesforce, Inc. Revenue Proportion by Geographic Area in 2025
Table 56. Salesforce, Inc. AI Business Intelligence Agents SWOT Analysis
Table 57. Salesforce, Inc. Recent Developments
Table 58. Alphabet Inc. Corporation Information
Table 59. Alphabet Inc. Description and Major Businesses
Table 60. Alphabet Inc. Product Features and Attributes
Table 61. Alphabet Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 62. Alphabet Inc. Revenue Proportion by Product in 2025
Table 63. Alphabet Inc. Revenue Proportion by Application in 2025
Table 64. Alphabet Inc. Revenue Proportion by Geographic Area in 2025
Table 65. Alphabet Inc. AI Business Intelligence Agents SWOT Analysis
Table 66. Alphabet Inc. Recent Developments
Table 67. ThoughtSpot, Inc. Corporation Information
Table 68. ThoughtSpot, Inc. Description and Major Businesses
Table 69. ThoughtSpot, Inc. Product Features and Attributes
Table 70. ThoughtSpot, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 71. ThoughtSpot, Inc. Revenue Proportion by Product in 2025
Table 72. ThoughtSpot, Inc. Revenue Proportion by Application in 2025
Table 73. ThoughtSpot, Inc. Revenue Proportion by Geographic Area in 2025
Table 74. ThoughtSpot, Inc. AI Business Intelligence Agents SWOT Analysis
Table 75. ThoughtSpot, Inc. Recent Developments
Table 76. Amazon.com, Inc. Corporation Information
Table 77. Amazon.com, Inc. Description and Major Businesses
Table 78. Amazon.com, Inc. Product Features and Attributes
Table 79. Amazon.com, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 80. Amazon.com, Inc. Revenue Proportion by Product in 2025
Table 81. Amazon.com, Inc. Revenue Proportion by Application in 2025
Table 82. Amazon.com, Inc. Revenue Proportion by Geographic Area in 2025
Table 83. Amazon.com, Inc. AI Business Intelligence Agents SWOT Analysis
Table 84. Amazon.com, Inc. Recent Developments
Table 85. Qlik Corporation Information
Table 86. Qlik Description and Major Businesses
Table 87. Qlik Product Features and Attributes
Table 88. Qlik Revenue (US$ Million) and Gross Margin (2021-2026)
Table 89. Qlik Recent Developments
Table 90. Sigma Computing, Inc. Corporation Information
Table 91. Sigma Computing, Inc. Description and Major Businesses
Table 92. Sigma Computing, Inc. Product Features and Attributes
Table 93. Sigma Computing, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 94. Sigma Computing, Inc. Recent Developments
Table 95. Snowflake Inc. Corporation Information
Table 96. Snowflake Inc. Description and Major Businesses
Table 97. Snowflake Inc. Product Features and Attributes
Table 98. Snowflake Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 99. Snowflake Inc. Recent Developments
Table 100. Databricks, Inc. Corporation Information
Table 101. Databricks, Inc. Description and Major Businesses
Table 102. Databricks, Inc. Product Features and Attributes
Table 103. Databricks, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 104. Databricks, Inc. Recent Developments
Table 105. Oracle Corporation Corporation Information
Table 106. Oracle Corporation Description and Major Businesses
Table 107. Oracle Corporation Product Features and Attributes
Table 108. Oracle Corporation Revenue (US$ Million) and Gross Margin (2021-2026)
Table 109. Oracle Corporation Recent Developments
Table 110. Alibaba Group Holding Limited Corporation Information
Table 111. Alibaba Group Holding Limited Description and Major Businesses
Table 112. Alibaba Group Holding Limited Product Features and Attributes
Table 113. Alibaba Group Holding Limited Revenue (US$ Million) and Gross Margin (2021-2026)
Table 114. Alibaba Group Holding Limited Recent Developments
Table 115. IBM Corporation Corporation Information
Table 116. IBM Corporation Description and Major Businesses
Table 117. IBM Corporation Product Features and Attributes
Table 118. IBM Corporation Revenue (US$ Million) and Gross Margin (2021-2026)
Table 119. IBM Corporation Recent Developments
Table 120. Zoho Corporation Pvt. Ltd. Corporation Information
Table 121. Zoho Corporation Pvt. Ltd. Description and Major Businesses
Table 122. Zoho Corporation Pvt. Ltd. Product Features and Attributes
Table 123. Zoho Corporation Pvt. Ltd. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 124. Zoho Corporation Pvt. Ltd. Recent Developments
Table 125. Hex Technologies, Inc. Corporation Information
Table 126. Hex Technologies, Inc. Description and Major Businesses
Table 127. Hex Technologies, Inc. Product Features and Attributes
Table 128. Hex Technologies, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 129. Hex Technologies, Inc. Recent Developments
Table 130. Alteryx, Inc. Corporation Information
Table 131. Alteryx, Inc. Description and Major Businesses
Table 132. Alteryx, Inc. Product Features and Attributes
Table 133. Alteryx, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 134. Alteryx, Inc. Recent Developments
Table 135. Domo, Inc. Corporation Information
Table 136. Domo, Inc. Description and Major Businesses
Table 137. Domo, Inc. Product Features and Attributes
Table 138. Domo, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 139. Domo, Inc. Recent Developments
Table 140. Omni Analytics, Inc. Corporation Information
Table 141. Omni Analytics, Inc. Description and Major Businesses
Table 142. Omni Analytics, Inc. Product Features and Attributes
Table 143. Omni Analytics, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 144. Omni Analytics, Inc. Recent Developments
Table 145. Tellius, Inc. Corporation Information
Table 146. Tellius, Inc. Description and Major Businesses
Table 147. Tellius, Inc. Product Features and Attributes
Table 148. Tellius, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 149. Tellius, Inc. Recent Developments
Table 150. Incorta, Inc. Corporation Information
Table 151. Incorta, Inc. Description and Major Businesses
Table 152. Incorta, Inc. Product Features and Attributes
Table 153. Incorta, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 154. Incorta, Inc. Recent Developments
Table 155. Tencent Holdings Limited Corporation Information
Table 156. Tencent Holdings Limited Description and Major Businesses
Table 157. Tencent Holdings Limited Product Features and Attributes
Table 158. Tencent Holdings Limited Revenue (US$ Million) and Gross Margin (2021-2026)
Table 159. Tencent Holdings Limited Recent Developments
Table 160. Guangzhou SmartBI Software Co., Ltd. Corporation Information
Table 161. Guangzhou SmartBI Software Co., Ltd. Description and Major Businesses
Table 162. Guangzhou SmartBI Software Co., Ltd. Product Features and Attributes
Table 163. Guangzhou SmartBI Software Co., Ltd. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 164. Guangzhou SmartBI Software Co., Ltd. Recent Developments
Table 165. Board International SA Corporation Information
Table 166. Board International SA Description and Major Businesses
Table 167. Board International SA Product Features and Attributes
Table 168. Board International SA Revenue (US$ Million) and Gross Margin (2021-2026)
Table 169. Board International SA Recent Developments
Table 170. Hangzhou GuanData Co., Ltd. Corporation Information
Table 171. Hangzhou GuanData Co., Ltd. Description and Major Businesses
Table 172. Hangzhou GuanData Co., Ltd. Product Features and Attributes
Table 173. Hangzhou GuanData Co., Ltd. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 174. Hangzhou GuanData Co., Ltd. Recent Developments
Table 175. ByteDance Corporation Information
Table 176. ByteDance Description and Major Businesses
Table 177. ByteDance Product Features and Attributes
Table 178. ByteDance Revenue (US$ Million) and Gross Margin (2021-2026)
Table 179. ByteDance Recent Developments
Table 180. AnswerRocket Corporation Information
Table 181. AnswerRocket Description and Major Businesses
Table 182. AnswerRocket Product Features and Attributes
Table 183. AnswerRocket Revenue (US$ Million) and Gross Margin (2021-2026)
Table 184. AnswerRocket Recent Developments
Table 185. Seek AI, Inc. Corporation Information
Table 186. Seek AI, Inc. Description and Major Businesses
Table 187. Seek AI, Inc. Product Features and Attributes
Table 188. Seek AI, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 189. Seek AI, Inc. Recent Developments
Table 190. Beijing HENGSHI Technology Co., Ltd. Corporation Information
Table 191. Beijing HENGSHI Technology Co., Ltd. Description and Major Businesses
Table 192. Beijing HENGSHI Technology Co., Ltd. Product Features and Attributes
Table 193. Beijing HENGSHI Technology Co., Ltd. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 194. Beijing HENGSHI Technology Co., Ltd. Recent Developments
Table 195. Veezoo AG Corporation Information
Table 196. Veezoo AG Description and Major Businesses
Table 197. Veezoo AG Product Features and Attributes
Table 198. Veezoo AG Revenue (US$ Million) and Gross Margin (2021-2026)
Table 199. Veezoo AG Recent Developments
Table 200. Telescope Technology Limited Corporation Information
Table 201. Telescope Technology Limited Description and Major Businesses
Table 202. Telescope Technology Limited Product Features and Attributes
Table 203. Telescope Technology Limited Revenue (US$ Million) and Gross Margin (2021-2026)
Table 204. Telescope Technology Limited Recent Developments
Table 205. Push AI, Inc. Corporation Information
Table 206. Push AI, Inc. Description and Major Businesses
Table 207. Push AI, Inc. Product Features and Attributes
Table 208. Push AI, Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 209. Push AI, Inc. Recent Developments
Table 210. CODATUM Corporation Information
Table 211. CODATUM Description and Major Businesses
Table 212. CODATUM Product Features and Attributes
Table 213. CODATUM Revenue (US$ Million) and Gross Margin (2021-2026)
Table 214. CODATUM Recent Developments
Table 215. Mirogos Inc. Corporation Information
Table 216. Mirogos Inc. Description and Major Businesses
Table 217. Mirogos Inc. Product Features and Attributes
Table 218. Mirogos Inc. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 219. Mirogos Inc. Recent Developments
Table 220. SoftBank Corp. Corporation Information
Table 221. SoftBank Corp. Description and Major Businesses
Table 222. SoftBank Corp. Product Features and Attributes
Table 223. SoftBank Corp. Revenue (US$ Million) and Gross Margin (2021-2026)
Table 224. SoftBank Corp. Recent Developments
Table 225. MCloudBridge Corporation Information
Table 226. MCloudBridge Description and Major Businesses
Table 227. MCloudBridge Product Features and Attributes
Table 228. MCloudBridge Revenue (US$ Million) and Gross Margin (2021-2026)
Table 229. MCloudBridge Recent Developments
Table 230. Technologies, Platforms and Infrastructure
Table 231. Distributors List
Table 232. Market Trends and Market Evolution
Table 233. Market Drivers and Opportunities
Table 234. Market Challenges, Risks, and Restraints
Table 235. Research Programs/Design for This Report
Table 236. Key Data Information from Secondary Sources
Table 237. Key Data Information from Primary Sources

List of Figures
Figure 1. Global AI Business Intelligence Agents Market Size Growth Rate by Type, 2021 vs 2025 vs 2032 (US$ Million)
Figure 2. BI Platform-native Analytics Agent Product Picture
Figure 3. Data Platform-native Analytics Agent Product Picture
Figure 4. Standalone AI Data Analyst Product Picture
Figure 5. Embedded Analytics Agent Product Picture
Figure 6. Others Product Picture
Figure 7. Global AI Business Intelligence Agents Market Size Growth Rate by Level of Agent Autonomy, 2021 vs 2025 vs 2032 (US$ Million)
Figure 8. Conversational Assisted Analytics Product Picture
Figure 9. Multi-step Analytical Agent Product Picture
Figure 10. Proactive Analytics Agent Product Picture
Figure 11. Action-oriented Analytics Agent Product Picture
Figure 12. Others Product Picture
Figure 13. Global AI Business Intelligence Agents Market Size Growth Rate by Deployment Model, 2021 vs 2025 vs 2032 (US$ Million)
Figure 14. Cloud-based Product Picture
Figure 15. On-Premise Product Picture
Figure 16. Global AI Business Intelligence Agents Market Size Growth Rate by Application, 2021 vs 2025 vs 2032 (US$ Million)
Figure 17. Finance and Management Reporting
Figure 18. Sales and Marketing
Figure 19. Customer and Product Analytics
Figure 20. Others
Figure 21. AI Business Intelligence Agents Report Years Considered
Figure 22. Global AI Business Intelligence Agents Revenue, (US$ Million), 2021 vs 2025 vs 2032
Figure 23. Global AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 24. Global AI Business Intelligence Agents Revenue (CAGR) by Region: 2021 vs 2025 vs 2032 (US$ Million)
Figure 25. Global AI Business Intelligence Agents Revenue-Based Market Share by Region (2021-2032)
Figure 26. Global AI Business Intelligence Agents Revenue-Based Market Share Ranking (2025)
Figure 27. Tier Distribution by Revenue Contribution (2021 vs 2025)
Figure 28. BI Platform-native Analytics Agent Revenue-Based Market Share by Player in 2025
Figure 29. Data Platform-native Analytics Agent Revenue-Based Market Share by Player in 2025
Figure 30. Standalone AI Data Analyst Revenue-Based Market Share by Player in 2025
Figure 31. Embedded Analytics Agent Revenue-Based Market Share by Player in 2025
Figure 32. Others Revenue-Based Market Share by Player in 2025
Figure 33. Global AI Business Intelligence Agents Revenue-Based Market Share by Type (2021-2032)
Figure 34. Global AI Business Intelligence Agents Revenue-Based Market Share by Level of Agent Autonomy (2021-2032)
Figure 35. Global AI Business Intelligence Agents Revenue-Based Market Share by Deployment Model (2021-2032)
Figure 36. Global AI Business Intelligence Agents Revenue-Based Market Share by Application (2021-2032)
Figure 37. North America AI Business Intelligence Agents Revenue YoY (US$ Million), 2021-2032
Figure 38. North America Top 5 Players AI Business Intelligence Agents Revenue (US$ Million) in 2025
Figure 39. North America AI Business Intelligence Agents Revenue (US$ Million) by Application (2021-2032)
Figure 40. US AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 41. Canada AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 42. Mexico AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 43. Europe AI Business Intelligence Agents Revenue YoY (US$ Million), 2021-2032
Figure 44. Europe Top 5 Players AI Business Intelligence Agents Revenue (US$ Million) in 2025
Figure 45. Europe AI Business Intelligence Agents Revenue (US$ Million) by Application (2021-2032)
Figure 46. Germany AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 47. France AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 48. U.K. AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 49. Italy AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 50. Russia AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 51. Asia-Pacific AI Business Intelligence Agents Revenue YoY (US$ Million), 2021-2032
Figure 52. Asia-Pacific Top 8 Players AI Business Intelligence Agents Revenue (US$ Million) in 2025
Figure 53. Asia-Pacific AI Business Intelligence Agents Revenue (US$ Million) by Application (2021-2032)
Figure 54. Indonesia AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 55. Japan AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 56. South Korea AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 57. Australia AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 58. India AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 59. Indonesia AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 60. Vietnam AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 61. Malaysia AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 62. Philippines AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 63. Singapore AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 64. Central and South America AI Business Intelligence Agents Revenue YoY (US$ Million), 2021-2032
Figure 65. Central and South America Top 5 Players AI Business Intelligence Agents Revenue (US$ Million) in 2025
Figure 66. Central and South America AI Business Intelligence Agents Revenue (US$ Million) by Application (2021-2032)
Figure 67. Brazil AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 68. Argentina AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 69. Middle East and Africa AI Business Intelligence Agents Revenue YoY (US$ Million), 2021-2032
Figure 70. Middle East and Africa Top 5 Players AI Business Intelligence Agents Revenue (US$ Million) in 2025
Figure 71. Middle East and Africa AI Business Intelligence Agents Revenue (US$ Million) by Application (2021-2032)
Figure 72. GCC Countries AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 73. Israel AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 74. Egypt AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 75. South Africa AI Business Intelligence Agents Revenue (US$ Million), 2021-2032
Figure 76. AI Business Intelligence Agents Value Chain Mapping
Figure 77. Channels of Distribution (Direct Vs Distribution)
Figure 78. Bottom-up and Top-down Approaches for This Report
Figure 79. Data Triangulation
Figure 80. Key Executives Interviewed