商业智慧市场－全球产业规模、份额、趋势、机会与预测：按组件、部署模式、功能、使用者类型、产业垂直领域、地区和竞争格局划分，2021-2031年

全球商业智慧市场预计将从 2025 年的 334.8 亿美元成长到 2031 年的 573.1 亿美元，复合年增长率为 9.37%。

该市场涵盖企业为分析复杂资讯以改善决策而采用的各种技术和调查方法。推动这一成长的关键因素是组织数据的激增以及即时洞察对于各行各业竞争优势日益增长的重要性。此外，人工智慧融入分析工具，实现了高阶预测建模和资料视觉化，这也是推动市场广泛应用的重要加速因素。

儘管存在这些积极迹象，但市场在数据品质和整合复杂性方面仍面临许多挑战，这可能会显着限制分析解决方案的效用。企业经常难以将分散的资料来源整合到统一的结构中，而这对于产生准确的报告至关重要。据 CompTIA 称，截至 2024 年，仅有 25% 的企业表示已达到其理想的企业资料管理状态。这种资料成熟度的不足构成了一项重大挑战，可能会阻碍商业智慧领域的整体发展和效能。

市场驱动因素

人工智慧 (AI) 和机器学习的整合正在从根本上改变全球商业智慧市场，实现复杂分析工作流程的自动化。这些进步使企业能够从传统的静态报告转向动态预测建模，使用户能够更准确地发现清晰的模式并预测未来趋势。生成式人工智慧的出现进一步普及了资料访问，使非技术人员能够使用自然语言而非复杂的 SQL 程式码查询资讯。根据 Rackspace Technology 于 2025 年 6 月发布的《2025 年人工智慧研究报告》，83% 的企业预计将在未来五年内增加人工智慧的支出并扩展相关能力。这反映出企业正在转型为自主系统，这些系统不仅能够报告历史指标，还能基于即时模式分析主动提案策略建议。

同时，基于云端的商业智慧平台的快速普及，透过提供扩充性且适应性强的基础设施，正在扩大市场进入。云端部署降低了本地硬体的财务负担，确保向远端团队即时交付数据，并促进无缝的全球协作。根据 Rackspace Technology 于 2025 年 1 月发布的《2025 年云端趋势报告》，超过 90% 的 IT 领导者计画对其云端策略进行重大调整，这标誌着企业正向适合高阶分析的现代化混合环境进行重大转变。这种现代化趋势的驱动力在于企业迫切需要利用数据来获得竞争优势。正如销售团队在 2025 年 11 月发布的《数据与分析现状报告》所指出的，76% 的高阶主管感到压力巨大，需要从数据中获得实际价值。为了满足这一日益增长的策略需求，各组织正在优先考虑采用敏捷的云端原生 BI 平台。

市场挑战

数据品质和整合方面的复杂性严重阻碍了全球商业智慧 (BI) 市场的发展。市场需求驱动着对即时洞察和预测能力的追求，但如果底层资料分散或不准确，这些先进功能将无法发挥作用。当企业无法将不同的资料来源整合在一起时，所产生的资讯孤岛会阻碍策略规划所需的全面分析。因此，潜在的采用者可能会因为担心结果不可靠以及资料清洗成本超过潜在收益而推迟对分析平台的投资。

资料准备不足的普遍存在是阻碍市场扩张的一大瓶颈。如果没有统一、高品质的数据基础，市场领先的先进人工智慧功能就无法运作最佳效能。根据TDWI 2024年的调查，约40%的公司缺乏明确的流程来检测和纠正资料品质问题。这种资料管理成熟度的严重不足直接延缓了商业智慧解决方案的普及，迫使企业在有效利用现代分析工具的全部功能之前，必须先解决这些根本性的整合难题。

市场趋势

嵌入式商业智慧的兴起正将分析功能从孤立的平台直接融入日常工作流程中。透过将仪錶板整合到 CRM 等核心应用程式中，使用者无需再在不同系统间切换，即可在决策的关键时刻即时利用洞察。这种情境化策略显着提升了使用者参与度和营运流畅性。正如 Reveal 在 2025 年 11 月发布的《2025 年软体开发面临的主要挑战》报告中所述，81% 的技术领导者正在其产品中实施嵌入式分析，以应对日益增长的需求。因此，这一趋势正在将数据从被动资产转变为推动业务执行的即时催化剂。

同时，低程式码/无程式码商业智慧平台的引入，使仪錶板创建更加普及，让非技术员工无需程式设计技能即可设计复杂的分析工具。这些视觉化介面使非技术开发人员能够快速产生自订报告，有效减少了以往由IT部门处理的开发积压工作。根据Mendix于2025年3月发布的《低程式码市场研究》报告，84%的公司认为这些工具使更多员工能够参与应用开发。这一趋势正在加速关键洞察的共用，并将分析能力转化为整个组织都能掌握的技能。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章：全球商业智慧市场展望

• 市场规模及预测
  • 按金额
• 市占率及预测
  • 按组件（软体、服务）
  • 依部署模式（本机部署、云端部署、混合模式）
  • 按功能分类（资料仓储、线上分析处理、线上分析挖掘、资料视觉化、报表产生）
  • 依使用者类型（业务使用者、资料分析师、IT 专业人员）
  • 按行业划分（银行、金融、保险、零售、电子商务、製造业、医疗保健、其他）
  • 按地区
  • 按公司（2025 年）
• 市场地图

第六章：北美商业智慧市场展望

• 市场规模及预测
• 市占率及预测
• 北美洲：国家分析
  • 我们
  • 加拿大
  • 墨西哥

7. 欧洲商业智慧市场展望

• 市场规模及预测
• 市占率及预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太商业智慧市场展望

• 市场规模及预测
• 市占率及预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

9. 中东和非洲商业智慧市场展望

• 市场规模及预测
• 市占率及预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿拉伯聯合大公国
  • 南非

第十章：南美商业智慧市场展望

• 市场规模及预测
• 市占率及预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第十一章 市场动态

• 司机
• 任务

第十二章 市场趋势与发展

• 併购
• 产品发布
• 最新进展

第十三章：全球商业智慧市场：SWOT分析

第十四章：波特五力分析

• 产业竞争
• 新进入者的可能性
• 供应商电力
• 顾客权力
• 替代品的威胁

第十五章 竞争格局

• Microsoft Corporation
• Salesforce, Inc.
• SAP SE
• IBM Corporation
• Oracle Corporation
• QlikTech International AB
• SAS Institute Inc.
• Teradata Operations, Inc.
• Domo, Inc.
• ThoughtSpot Inc

第十六章 策略建议

第十七章：关于研究公司及免责声明

The Global Business Intelligence Market is projected to expand from USD 33.48 Billion in 2025 to USD 57.31 Billion by 2031, reflecting a compound annual growth rate of 9.37%. This market comprises the various technologies and strategic methodologies that businesses employ to analyze complex information for improved decision-making. Key drivers propelling this growth include the surging volume of organizational data and the critical need for immediate insights to secure competitive advantages across diverse industries. Additionally, the incorporation of artificial intelligence into analytics tools facilitates advanced predictive modeling and data visualization, serving as a primary accelerator for widespread market adoption.

Despite these positive indicators, the market confronts significant hurdles related to data quality and the intricacies of integration, which can severely restrict the utility of analytics solutions. Enterprises frequently encounter difficulties in merging scattered data sources into the unified structure required for precise reporting. According to CompTIA, in 2024, merely 25% of companies indicated they had achieved their desired state of corporate data management. This lack of data maturity poses a substantial challenge, potentially hindering the broader trajectory and effectiveness of the business intelligence sector.

Market Driver

The incorporation of artificial intelligence and machine learning is fundamentally transforming the Global Business Intelligence Market by automating intricate analytical workflows. These advancements enable companies to evolve from traditional static reporting to dynamic predictive modeling, empowering users to detect distinct patterns and anticipate future trends with enhanced precision. The emergence of generative AI further democratizes access to data, permitting non-technical staff to query information using natural language instead of complex SQL code. According to the '2025 AI Research Report' by Rackspace Technology in June 2025, 83% of organizations anticipate increasing their AI expenditures over the coming five years to scale these capabilities. This reflects a transition toward autonomous systems that do more than report on past metrics; they proactively recommend strategic moves based on real-time pattern analysis.

Concurrently, the rapid uptake of cloud-based business intelligence platforms is broadening market access by offering infrastructure that is both scalable and adaptable. Cloud deployments remove the financial burden of on-premise hardware, ensuring real-time data availability for remote teams and facilitating seamless global collaboration. According to Rackspace Technology's '2025 State of Cloud Report' from January 2025, more than 90% of IT leaders intended to significantly revise their cloud strategies, signaling a major shift toward modernized, hybrid environments conducive to advanced analytics. This modernization stems from a pressing corporate requirement to use data for competitive advantages. As noted in Salesforce's 'State of Data and Analytics' report from November 2025, 76% of business leaders feel intensifying pressure to derive concrete value from data, leading organizations to prioritize agile, cloud-native BI platforms to satisfy these escalating strategic needs.

Market Challenge

Complexities surrounding data quality and integration represent a substantial barrier to the progress of the Global Business Intelligence Market. Although the market is driven by the demand for immediate insights and predictive capabilities, these sophisticated functions become ineffective if the foundational data is fragmented or incorrect. When businesses fail to cohesively merge disparate data sources, the resulting information silos obstruct the comprehensive analysis necessary for strategic planning. As a result, prospective adopters may postpone investing in analytics platforms due to concerns that the results will be untrustworthy or that the expenses associated with data cleansing will exceed the potential returns.

This widespread lack of data readiness serves as a critical bottleneck limiting broader market growth. Without a unified and pristine data foundation, the advanced artificial intelligence features that power the market cannot operate at peak efficiency. According to TDWI findings in 2024, roughly 40% of enterprises did not possess clear protocols for detecting and correcting data quality problems. This substantial deficiency in data management maturity directly retards the uptake of business intelligence solutions, as organizations are compelled to solve these fundamental integration issues before they can successfully utilize the full power of modern analytical tools.

Market Trends

The rise of Embedded Business Intelligence is relocating analytics from isolated platforms directly into daily operational workflows. By integrating dashboards into core applications such as CRMs, companies remove the necessity for users to switch between systems, thereby ensuring that insights are readily available at the moment of decision-making. This context-sensitive strategy notably improves user engagement and operational fluidity. As highlighted in the 'Top Software Development Challenges for 2025' report by Reveal in November 2025, 81% of technology leaders have incorporated embedded analytics into their products to address increasing requirements. Consequently, this trend evolves data from a passive asset into an immediate catalyst for business execution.

At the same time, the deployment of Low-Code and No-Code BI platforms is democratizing the creation of dashboards, allowing non-technical employees to design complex analytical tools without needing programming skills. These visual interfaces permit citizen developers to quickly generate custom reports, effectively reducing the development backlog typically shouldered by IT departments. According to Mendix's 'Survey of the Low-Code Market' report from March 2025, 84% of enterprises confirmed that these tools successfully empower a wider array of staff to contribute to application development. This movement expedites the distribution of essential insights and transforms analytics into a capability accessible throughout the organization.

Key Market Players

• Microsoft Corporation
• Salesforce, Inc.
• SAP SE
• IBM Corporation
• Oracle Corporation
• QlikTech International AB
• SAS Institute Inc.
• Teradata Operations, Inc.
• Domo, Inc.
• ThoughtSpot Inc

Report Scope

In this report, the Global Business Intelligence Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Business Intelligence Market, By Component

• Software
• Services

Business Intelligence Market, By Deployment Model

• On-Premise
• Cloud-Based
• Hybrid Model

Business Intelligence Market, By Functionality

• Data Warehousing
• Online Analytical Processing
• Online Analytical Mining
• Data Visualization
• Reporting

Business Intelligence Market, By User Type

• Business Users
• Data Analysts
• IT Professionals

Business Intelligence Market, By Industry Vertical

• BFSI
• Retail & E-commerce
• Manufacturing
• Healthcare
• Others

Business Intelligence Market, By Region

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • France
  • United Kingdom
  • Italy
  • Germany
  • Spain
• Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East & Africa
  • South Africa
  • Saudi Arabia
  • UAE

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Business Intelligence Market.

Available Customizations:

Global Business Intelligence Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global Business Intelligence Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Component (Software, Services)
  • 5.2.2. By Deployment Model (On-Premise, Cloud-Based, Hybrid Model)
  • 5.2.3. By Functionality (Data Warehousing, Online Analytical Processing, Online Analytical Mining, Data Visualization, Reporting)
  • 5.2.4. By User Type (Business Users, Data Analysts, IT Professionals)
  • 5.2.5. By Industry Vertical (BFSI, Retail & E-commerce, Manufacturing, Healthcare, Others)
  • 5.2.6. By Region
  • 5.2.7. By Company (2025)
• 5.3. Market Map

6. North America Business Intelligence Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Component
  • 6.2.2. By Deployment Model
  • 6.2.3. By Functionality
  • 6.2.4. By User Type
  • 6.2.5. By Industry Vertical
  • 6.2.6. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Business Intelligence Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Component
      • 6.3.1.2.2. By Deployment Model
      • 6.3.1.2.3. By Functionality
      • 6.3.1.2.4. By User Type
      • 6.3.1.2.5. By Industry Vertical
  • 6.3.2. Canada Business Intelligence Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Component
      • 6.3.2.2.2. By Deployment Model
      • 6.3.2.2.3. By Functionality
      • 6.3.2.2.4. By User Type
      • 6.3.2.2.5. By Industry Vertical
  • 6.3.3. Mexico Business Intelligence Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Component
      • 6.3.3.2.2. By Deployment Model
      • 6.3.3.2.3. By Functionality
      • 6.3.3.2.4. By User Type
      • 6.3.3.2.5. By Industry Vertical

7. Europe Business Intelligence Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Component
  • 7.2.2. By Deployment Model
  • 7.2.3. By Functionality
  • 7.2.4. By User Type
  • 7.2.5. By Industry Vertical
  • 7.2.6. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Business Intelligence Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Component
      • 7.3.1.2.2. By Deployment Model
      • 7.3.1.2.3. By Functionality
      • 7.3.1.2.4. By User Type
      • 7.3.1.2.5. By Industry Vertical
  • 7.3.2. France Business Intelligence Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Component
      • 7.3.2.2.2. By Deployment Model
      • 7.3.2.2.3. By Functionality
      • 7.3.2.2.4. By User Type
      • 7.3.2.2.5. By Industry Vertical
  • 7.3.3. United Kingdom Business Intelligence Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Component
      • 7.3.3.2.2. By Deployment Model
      • 7.3.3.2.3. By Functionality
      • 7.3.3.2.4. By User Type
      • 7.3.3.2.5. By Industry Vertical
  • 7.3.4. Italy Business Intelligence Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Component
      • 7.3.4.2.2. By Deployment Model
      • 7.3.4.2.3. By Functionality
      • 7.3.4.2.4. By User Type
      • 7.3.4.2.5. By Industry Vertical
  • 7.3.5. Spain Business Intelligence Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Component
      • 7.3.5.2.2. By Deployment Model
      • 7.3.5.2.3. By Functionality
      • 7.3.5.2.4. By User Type
      • 7.3.5.2.5. By Industry Vertical

8. Asia Pacific Business Intelligence Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Component
  • 8.2.2. By Deployment Model
  • 8.2.3. By Functionality
  • 8.2.4. By User Type
  • 8.2.5. By Industry Vertical
  • 8.2.6. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Business Intelligence Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Component
      • 8.3.1.2.2. By Deployment Model
      • 8.3.1.2.3. By Functionality
      • 8.3.1.2.4. By User Type
      • 8.3.1.2.5. By Industry Vertical
  • 8.3.2. India Business Intelligence Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Component
      • 8.3.2.2.2. By Deployment Model
      • 8.3.2.2.3. By Functionality
      • 8.3.2.2.4. By User Type
      • 8.3.2.2.5. By Industry Vertical
  • 8.3.3. Japan Business Intelligence Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Component
      • 8.3.3.2.2. By Deployment Model
      • 8.3.3.2.3. By Functionality
      • 8.3.3.2.4. By User Type
      • 8.3.3.2.5. By Industry Vertical
  • 8.3.4. South Korea Business Intelligence Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Component
      • 8.3.4.2.2. By Deployment Model
      • 8.3.4.2.3. By Functionality
      • 8.3.4.2.4. By User Type
      • 8.3.4.2.5. By Industry Vertical
  • 8.3.5. Australia Business Intelligence Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Component
      • 8.3.5.2.2. By Deployment Model
      • 8.3.5.2.3. By Functionality
      • 8.3.5.2.4. By User Type
      • 8.3.5.2.5. By Industry Vertical

9. Middle East & Africa Business Intelligence Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Component
  • 9.2.2. By Deployment Model
  • 9.2.3. By Functionality
  • 9.2.4. By User Type
  • 9.2.5. By Industry Vertical
  • 9.2.6. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Business Intelligence Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Component
      • 9.3.1.2.2. By Deployment Model
      • 9.3.1.2.3. By Functionality
      • 9.3.1.2.4. By User Type
      • 9.3.1.2.5. By Industry Vertical
  • 9.3.2. UAE Business Intelligence Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Component
      • 9.3.2.2.2. By Deployment Model
      • 9.3.2.2.3. By Functionality
      • 9.3.2.2.4. By User Type
      • 9.3.2.2.5. By Industry Vertical
  • 9.3.3. South Africa Business Intelligence Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Component
      • 9.3.3.2.2. By Deployment Model
      • 9.3.3.2.3. By Functionality
      • 9.3.3.2.4. By User Type
      • 9.3.3.2.5. By Industry Vertical

10. South America Business Intelligence Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Component
  • 10.2.2. By Deployment Model
  • 10.2.3. By Functionality
  • 10.2.4. By User Type
  • 10.2.5. By Industry Vertical
  • 10.2.6. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Business Intelligence Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Component
      • 10.3.1.2.2. By Deployment Model
      • 10.3.1.2.3. By Functionality
      • 10.3.1.2.4. By User Type
      • 10.3.1.2.5. By Industry Vertical
  • 10.3.2. Colombia Business Intelligence Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Component
      • 10.3.2.2.2. By Deployment Model
      • 10.3.2.2.3. By Functionality
      • 10.3.2.2.4. By User Type
      • 10.3.2.2.5. By Industry Vertical
  • 10.3.3. Argentina Business Intelligence Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Component
      • 10.3.3.2.2. By Deployment Model
      • 10.3.3.2.3. By Functionality
      • 10.3.3.2.4. By User Type
      • 10.3.3.2.5. By Industry Vertical

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends & Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Global Business Intelligence Market: SWOT Analysis

14. Porter's Five Forces Analysis

• 14.1. Competition in the Industry
• 14.2. Potential of New Entrants
• 14.3. Power of Suppliers
• 14.4. Power of Customers
• 14.5. Threat of Substitute Products

15. Competitive Landscape

• 15.1. Microsoft Corporation
  • 15.1.1. Business Overview
  • 15.1.2. Products & Services
  • 15.1.3. Recent Developments
  • 15.1.4. Key Personnel
  • 15.1.5. SWOT Analysis
• 15.2. Salesforce, Inc.
• 15.3. SAP SE
• 15.4. IBM Corporation
• 15.5. Oracle Corporation
• 15.6. QlikTech International AB
• 15.7. SAS Institute Inc.
• 15.8. Teradata Operations, Inc.
• 15.9. Domo, Inc.
• 15.10. ThoughtSpot Inc

16. Strategic Recommendations

17. About Us & Disclaimer