查看購物車
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1951152

商業智慧市場－全球產業規模、佔有率、趨勢、機會與預測：按組件、部署模式、功能、使用者類型、產業垂直領域、地區和競爭格局分類，2021-2031年

Business Intelligence Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment Model, By Functionality, By User Type, By Industry Vertical, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3個工作天內

價格

We offer 8 hour analyst time for an additional research. Please contact us for the details.

簡介目錄

全球商業智慧市場預計將從 2025 年的 334.8 億美元成長到 2031 年的 573.1 億美元，複合年成長率為 9.37%。

該市場涵蓋企業為分析複雜資訊以改善決策而採用的各種技術和調查方法。推動這一成長的關鍵因素是組織數據的激增以及即時洞察對於各行各業競爭優勢日益成長的重要性。此外，人工智慧融入分析工具，實現了高階預測建模和資料視覺化，這也是推動市場廣泛應用的重要加速因素。

市場概覽
預測期 2027-2031
市場規模：2025年 334.8億美元
市場規模：2031年 573.1億美元
複合年成長率：2026-2031年 9.37%
成長最快的細分市場 零售與電子商務
最大的市場 北美洲

儘管存在這些積極跡象，但市場在數據品質和整合複雜性方面仍面臨許多挑戰，這可能會顯著限制分析解決方案的效用。企業經常難以將分散的資料來源整合到統一的結構中，而這對於產生準確的報告至關重要。據 CompTIA 稱，截至 2024 年，僅有 25% 的企業表示已達到其理想的企業資料管理狀態。這種資料成熟度的不足構成了一項重大挑戰，可能會阻礙商業智慧領域的整體發展和效能。

市場促進因素

人工智慧 (AI) 和機器學習的整合正在從根本上改變全球商業智慧市場，實現複雜分析工作流程的自動化。這些進步使企業能夠從傳統的靜態報告轉向動態預測建模，使用戶能夠更準確地發現清晰的模式並預測未來趨勢。生成式人工智慧的出現進一步普及了資料訪問，使非技術人員能夠使用自然語言而非複雜的 SQL 程式碼查詢資訊。根據 Rackspace Technology 於 2025 年 6 月發布的《2025 年人工智慧研究報告》，83% 的企業預計將在未來五年內增加人工智慧的支出並擴展相關能力。這反映出企業正在轉型為自主系統，這些系統不僅能夠報告歷史指標，還能基於即時模式分析主動提案策略建議。

同時，基於雲端的商業智慧平台的快速普及，透過提供擴充性且適應性強的基礎設施，正在擴大市場進入。雲端部署降低了本地硬體的財務負擔，確保向遠端團隊即時交付數據，並促進無縫的全球協作。根據 Rackspace Technology 於 2025 年 1 月發布的《2025 年雲端趨勢報告》，超過 90% 的 IT 領導者計畫對其雲端策略進行重大調整，這標誌著企業正向適合高階分析的現代化混合環境進行重大轉變。這種現代化趨勢的驅動力在於企業迫切需要利用數據來獲得競爭優勢。正如銷售團隊在 2025 年 11 月發布的《數據與分析現狀報告》所指出的，76% 的高階主管感到壓力巨大，需要從數據中獲得實際價值。為了滿足這一日益成長的策略需求，各組織正在優先考慮採用敏捷的雲端原生 BI 平台。

市場挑戰

數據品質和整合方面的複雜性嚴重阻礙了全球商業智慧 (BI) 市場的發展。市場需求驅動著對即時洞察和預測能力的追求，但如果底層資料分散或不準確，這些先進功能將無法發揮作用。當企業無法將不同的資料來源整合在一起時，所產生的資訊孤島會阻礙策略規劃所需的全面分析。因此，潛在的採用者可能會因為擔心結果不可靠以及資料清洗成本超過潛在收益而推遲對分析平台的投資。

資料準備不足的普遍存在是阻礙市場擴張的一大瓶頸。如果沒有統一、高品質的數據基礎，市場領先的先進人工智慧功能就無法運作最佳效能。根據TDWI 2024年的調查，約40%的公司缺乏明確的流程來檢測和糾正資料品質問題。這種資料管理成熟度的嚴重不足直接延緩了商業智慧解決方案的普及，迫使企業在有效利用現代分析工具的全部功能之前，必須先解決這些根本性的整合難題。

市場趨勢

嵌入式商業智慧的興起正將分析功能從孤立的平台直接融入日常工作流程中。透過將儀錶板整合到 CRM 等核心應用程式中，使用者無需再在不同系統間切換，即可在決策的關鍵時刻即時利用洞察。這種情境化策略顯著提升了使用者參與度和營運流暢性。正如 Reveal 在 2025 年 11 月發布的《2025 年軟體開發面臨的主要挑戰》報告中所述，81% 的技術領導者正在其產品中實施嵌入式分析，以應對日益成長的需求。因此，這一趨勢正在將數據從被動資產轉變為推動業務執行的即時催化劑。

同時，低程式碼/無程式碼商業智慧平台的引入，使儀錶板創建更加普及，讓非技術員工無需程式設計技能即可設計複雜的分析工具。這些視覺化介面使非技術開發人員能夠快速產生自訂報告，有效減少了以往由IT部門處理的開發積壓工作。根據Mendix於2025年3月發布的《低程式碼市場研究》報告，84%的公司認為這些工具使更多員工能夠參與應用開發。這一趨勢正在加速關鍵洞察的共用，並將分析能力轉化為整個組織都能掌握的技能。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章：全球商業智慧市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 按組件（軟體、服務）
    • 依部署模式（本機部署、雲端部署、混合模式）
    • 按功能分類（資料倉儲、線上分析處理、線上分析挖掘、資料視覺化、報表產生）
    • 依使用者類型（業務使用者、資料分析師、IT 專業人員）
    • 按行業分類（銀行、金融、保險、零售、電子商務、製造業、醫療保健、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

第6章：北美商業智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

7. 歐洲商業智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第8章：亞太商業智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東和非洲商業智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美商業智慧市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章：全球商業智慧市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

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

第16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
Product Code: 24175

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.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 33.48 Billion
Market Size 2031USD 57.31 Billion
CAGR 2026-20319.37%
Fastest Growing SegmentRetail & E-commerce
Largest MarketNorth America

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