查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1209870

全球商業智能市場：到2028預測—按組件、部署、組織規模（中小//大型企業）、數據類型、業務能力、技術、應用程序、最終用戶和地區全球分析

Business Intelligence Market Forecasts to 2028 - Global Analysis By Component, Deployment Mode, Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), Data Type, Business Function, Technology, Application, End User and Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球商業智能市場預計將在 2022 年創下 272.7 億美元的記錄，並在 2028 年達到 502 億美元，以 10 的複合年增長率增長 7%。

商業智能 (BI) 是一種分析數據並為員工、經理和領導者提供有用信息以做出更好的業務決策的藝術。 作為 BI 流程的一部分，公司從各種 IT 系統收集數據、準備數據進行分析、查詢數據、創建數據可視化、BI 演示、報告和執行分析。將結果呈現給企業客戶並做出戰術和戰略決策。

根據 NCRB 報告，2021 年將發生 4,047 起網上銀行欺詐案件，價值 1,384 萬億盧比。

市場動態

驅動程序

對數據可視化儀表板的需求不斷增長

許多企業使用涉及查找、收集、管理和傳播大量數據的合理方法。 BI 解決方案用於為這些數據啟用快速、簡單的業務決策過程。 要了解客戶偏好和趨勢、獲得戰略洞察力並平衡新產品和現有產品和服務的供需，必須通過標準可視化功能提供數據。 各行各業的公司都使用數據可視化工具來輕鬆分析數據並獲得有價值的業務見解。 基於雲的數據可視化工具為企業提供了一種可擴展且經濟實惠的數據分析方法。 通過 BI 解決方案，數據可視化功能有助於識別業務驅動因素和關鍵績效指標 (KPI)。 通過消除混亂，您可以輕鬆發現可用於加速市場增長的模式、見解、趨勢和使用策略。

約束

BI ROI 很難證明

雖然實施商業智能有很多好處，但找到合適的商業智能平台或軟件、在您的組織中實施、維護以及培訓員工如何使用它仍然需要大量的初始成本。 企業範圍的業務應用程序不包括嵌入式、預測性或規範性分析。 BI 工具仍處於其成熟週期的早期階段，因此它們不會很快過時。 預算是公司在投資新工具和技術時考慮的主要因素。 在使用商業智能時，成本是小型企業最關心的問題。 小型企業因購買所需軟件的高昂成本而受阻。 此外，由於缺乏資源，聘請在數據科學、IT 基礎架構和諮詢分析方面經驗豐富的專業人員既困難又冒險。 對部署商業智能工具所需的高基礎設施成本的擔憂加劇了這些障礙。

機會

雲計算和大數據對 BI 解決方案產生重大影響

近年來，大數據分析、雲計算等技術革新迅猛發展。 雲計算被認為是 BI 應用程序的理想平台，因為它可以存儲結構化和非結構化數據。 同樣，大數據技術使這些工具能夠評估大量數據，為組織提供可操作的見解，幫助他們發現機會並加強營銷策略。

威脅

數據整合

軟件客戶和用戶由許多因素決定，集成就是其中之一。 端到端集成使專業人員能夠訪問集成系統中的所有數據。 然而，商業智能和分析公司面臨著重大的整合挑戰。 基於雲的商業智能解決方案因其顯著優勢而備受追捧，但雲安裝也面臨許多挑戰，包括本地數據的安全性和數據集成問題。 在這個領域，集成不同的分析軟件、商業智能、主數據管理 (MDM)、大數據和分析工具可能具有挑戰性。

COVID-19 的影響

由於新型冠狀病毒的傳播，許多行業都面臨困難。 全球健康危機導致的經濟衰退和供應鏈中斷對商業投資產生了嚴重影響。 但這場危機提供了利用尖端分析來改進決策的機會。 市場進入者正在提供複雜的可視化儀表板，以幫助用戶了解冠狀病毒的當前狀態。 例如，使用 Dundas BI，Dundas Data Visualization, Inc. 創建了實時儀表板。 同樣，Microsoft 的 Power BI 正在與 USA Facts 合作，允許用戶與 COVID-19 數據集進行交互並查看。 因此，對數據可視化儀表板的需求預計將在不久的將來達到歷史新高。

預計在預測期內雲部分將是最大的部分

據估計，雲部分的增長利潤豐厚。 已經在本地部署應用程序的企業可以將它們部署在雲端，以增加存儲、網絡、工具和分析。 雲部署提供外包 BI 基礎架構和管理應用程序的選項。 此元素有助於提高生產力、簡化部署計劃並降低管理費用。 因此，我們預計雲採用率將快速增長。

預計人力資源部門在預測期內的複合年增長率最高。

由於對人力資源管理的需求不斷增長，預計人力資源部門在預測期內的複合年增長率最高。 許多公司正在部署商業智能工具來幫助人力資源專業人員做出實時的員工決策。 這使公司能夠有效地了解和預測人才可用性、人才短缺、員工生命週期、離職率等。 公司使用分析來入職新員工、管理保留和退休計劃、監控安全和學習以及衡量績效。 商業智能解決方案還使 HR 專業人員能夠即時訪問有關全球勞動力的成本、可用性、效率和能力的信息。 企業可以將商業智能解決方案集成到現有的 HR 軟件中，以了解晉升和評估活動中的關鍵因素，例如了解員工敬業度和離職率，並根據經驗、潛力和技能組合預測晉升。

市場份額最高的地區

由於物聯網技術的商業化以及中國、日本、印度等對尖端技術的日益使用，預計亞太地區在預測期內將佔據最大的市場份額，從而推動對業務的需求智能解決方案和服務正在崛起。 此外，由於物聯網和大數據的市場和需求不斷擴大，商業智能行業現在正在獲得更加準確和可靠的主導地位。

複合年增長率最高的地區

由於新技術的快速發展和採用，預計北美在預測期內的複合年增長率最高，Microsoft Corporation、IBM Corporation、Oracle Corporation 和 Tableau Software, LLC 等主要參與者推動了 The Business Intelligence Institute, SC（墨西哥）是一家專注於在北美創建複雜分析、數據治理和數據智能軟件的公司。 該公司在國家安全、銀行和零售等多個領域利用機器學習、人工智能、物聯網和雲計算。 這個充滿活力的小組有望提高對這些解決方案的認識。

主要發展

2022 年 8 月，融合數據分析的領先人工智能驅動平台 Sisense 將與服務於老年護理市場的多學科電子病歷 (EMR) 公司 Gerimedica 合作，利用數據。 在實施 Sisense 後，Gerimedica 報告稱每位患者的住院時間平均減少了 6%，從而使每位患者節省了 540 歐元的成本。

2022 年 5 月，分析自動化公司 Alteryx Inc 宣布了賦能企業的新進展，包括支持雲分析、民主化洞察和確保數據治理。 Alteryx 通過在雲中大規模提供智能數據轉換和洞察來滿足這些需求。

2020 年 6 月，Microsoft Corporation 和 SAS Institute Inc. 合作加速 SAS Analytics 和 Microsoft Azure 雲的發展。 兩家公司將尋求將 Microsoft 完整的雲產品組合與 SAS 分析解決方案集成，包括 Dynamics 365Azure、Microsoft 365 和 Power tools。

2019 年 10 月，SAP SE 宣布增強其業務技術平台，包括 SAP HANA Cloud、SAP Data Warehouse Cloud 解決方案和 SAP Analytics Cloud。 SAP Business Objects 商業智能套件的新 4.3 版本旨在通過集成 SAP 分析雲來支持本地解決方案。

本報告的內容

  • 評估區域和國家級細分市場的市場份額
  • 向新進入者提出戰略建議
  • 2020、2021、2022、2025 和 2028 年的綜合市場數據
  • 市場趨勢（驅動因素、制約因素、機會、威脅、挑戰、投資機會、建議）
  • 根據市場預測在關鍵業務領域提出戰略建議
  • 競爭格局映射主要共同趨勢
  • 詳細的戰略、財務、公司簡介，包括最近的發展
  • 映射最新技術進步的供應鏈趨勢

免費定制服務

訂閱此報告的客戶將免費獲得以下自定義選項之一。

  • 公司簡介
    • 其他市場參與者的綜合概況（最多 3 家公司）
    • 主要參與者的 SWOT 分析（最多 3 家公司）
  • 區域細分
    • 根據客戶要求對主要國家/地區的市場進行估算、預測和復合年增長率（注意：基於可行性檢查。）
  • 競爭基準
    • 根據產品組合、地域分佈和戰略聯盟對主要參與者進行基準測試

內容

第 1 章執行摘要

第二章前言

  • 概覽
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 數據挖掘
    • 數據分析
    • 數據驗證
    • 研究方法
  • 調查來源
    • 主要研究信息來源
    • 二手研究資源
    • 假設

第三章市場趨勢分析

  • 司機
  • 約束因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第 5 章全球商業智能市場：按組件分類

  • 服務
    • 諮詢
    • 部署和集成
    • 支持和維護
  • 解決方案
    • 數據集成和 ETL
    • 儀表板和記分卡
    • 查詢和分析
    • 報告和可視化
  • 其他組件

第 6 章全球商業智能市場：按部署模式

  • 本地
  • 雲

第 7 章全球商業智能市場：按組織規模分類

  • 中小型企業 (SME)
  • 大公司

第 8 章全球商業智能市場：按數據類型

  • 半結構化數據
  • 非結構化數據
  • 結構化數據

第 9 章全球商業智能市場：按業務功能分類

  • 財務
  • 人力資源
  • 運營
  • 銷售和營銷

第 10 章全球商業智能市場：按技術分類

  • 雲端商務智能
  • 移動商務智能
  • 社交商務智能

第 11 章全球商業智能市場：按應用

  • CRM 分析工作
  • 生產計劃分析
  • 供應鏈分析應用
  • 財務績效和戰略管理
  • 預測性維護
  • 欺詐檢測和安全管理
  • 網絡管理和優化
  • 勞動力管理
  • 銷售和營銷管理
  • 企業管理
  • 其他應用

第 12 章全球商業智能市場：按最終用戶分類

  • 政府和公共服務
  • 零售
  • 媒體和娛樂
  • 電信和 IT
  • 旅遊業和酒店業
  • 製造業
  • 運輸/物流
  • 醫療保健和生命科學
  • 銀行、金融服務和保險 (BFSI)
  • 其他最終用戶

第 13 章全球商業智能市場：區域

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 意大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 新西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 卡塔爾
    • 南非
    • 其他中東地區

第14章主要發展

  • 合同、夥伴關係、協作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第十五章公司簡介

  • Tableau Software, LLC
  • Oracle Corporation
  • Microsoft Corporation
  • Sisense Inc.
  • SAP SE
  • Domo, Inc.
  • Yellowfin International Pty Ltd
  • SAS Institute Inc.
  • Infor
  • IBM Corporation
  • Alphabet Inc.
  • International Business Machines Corp.
  • Panorama Software Inc.
  • TIBCO Software Inc.
  • ScienceSoft USA Corp.
  • Amazon.com Inc.
  • QlikTech international AB
  • Alteryx Inc
Product Code: SMRC22292

According to Stratistics MRC, the Global Business Intelligence Market is accounted for $27.27 billion in 2022 and is expected to reach $50.20 billion by 2028 growing at a CAGR of 10.7% during the forecast period. Business intelligence (BI) is a technique for analysing data and providing employees, managers, and leaders with useful information so they can make better business decisions. As part of the BI process, businesses gather data from a variety of IT systems, prepare it for analysis, run queries on the data, and create data visualisations, BI presentations, and reports to present the analytical findings to corporate clients for tactical and strategic decision-making.

According to NCRB Report, There have been 4,047 online banking fraud cases in 2021, which amounts to 1,384 trillion rupees.

Market Dynamics:

Driver:

Rising demand for dash boards for data visualization

The majority of businesses use a streamlined method that entails locating, gathering, keeping up with, and disseminating a lot of data. For this data, BI solutions are employed in order to have a quick and easy business decision-making process. In order to discover client preferences and tendencies, extract strategic insights, and help maintain a balance between the demand and supply of new and existing goods and services, the data should be made available with a standard visualisation capability. Businesses from all industries use data visualisation tools to easily analyse their data and gain valuable business insights. Cloud-based data visualisation tools give businesses a scalable and affordable approach to analyse their data. Through BI solutions, the data visualisation capabilities aids businesses in identifying business drivers and key performance indicators (KPIs). By removing extraneous data, it makes it easier to find patterns, insights, trends, and utilisation tactics that may be used to accelerate the market's growth.

Restraint:

Hard to justify the ROI of BI

Even though there are many advantages to deploying business intelligence, there are still significant upfront costs associated with finding the right business intelligence platform or software, putting it in place in organisations, and then maintaining it and teaching staff how to use it. Enterprise-wide business applications do not include embedded analytics, predictive analytics, or prescriptive analytics. BI tools won't become obsolete anytime soon because they are still in the early phases of their maturation cycle. Budget is the main factor taken into account when businesses invest in new tools and technologies. SMEs' top concern when using business intelligence is the cost. The exorbitant expenses of acquiring the necessary software deter SMEs. Additionally, a lack of resources makes it difficult and dangerous to hire experienced experts in data science, IT infrastructure, and consultancy analysis. Worries about the high infrastructure costs required for the deployment of business intelligence tools add to these barriers.

Opportunity:

Cloud computing and big data to have a greater impact on BI solutions

Rapid technical breakthroughs have led to the growth of big data analytics and cloud computing in recent years. Given that it acts as a storage facility for both structured and unstructured data, cloud computing is regarded as the ideal platform for BI applications. Similar to this, big data technology has made it possible for these tools to evaluate a significant quantity of data and provide organisations with actionable insights that aid them in understanding opportunities and enhancing marketing strategies.

Threat:

Data integration

Software's customers and users are defined by a number of factors, integration being one of them. Professionals may access all the data in an integrated system thanks to end-to-end integration. However, business intelligence and analytics companies confront a significant issue with integration. Due to the significant benefits offered, cloud-based business intelligence solutions are in high demand; however, cloud installations present a number of difficulties, including security and data integration problems with on-premises data. In this sector, it can be difficult to integrate different analytics software, business intelligence, Master Data Management (MDM), big data, and analytics tools.

COVID-19 Impact

Numerous industries have experienced difficulties as a result of the new corona virus's proliferation. Economic downturns and supply chain disruptions brought on by the global health crisis have severely impacted business investments. But the crisis has given us a chance to use cutting-edge analytics to improve decision-making. Market participants are providing sophisticated visualisation dashboards to assist users in learning the current state of the Coronavirus. For instance, using Dundas BI, Dundas Data Visualization, Inc. created real-time dashboards. Similar to this, Microsoft's Power BI is collaborating with USA Facts to enable users to interact with and see the COVID-19 dataset. Consequently, it is anticipated that in the near future, demand for data visualisation dashboards will reach an all-time high.

The Cloud segment is expected to be the largest during the forecast period

The Cloud segment is estimated to have a lucrative growth. Businesses that have already implemented apps on-premises can increase their use of storage, networking, and tools as well as analytical capabilities by deploying them on the cloud. Cloud deployments give the company the option to manage its apps by outsourcing the BI infrastructure. This element aids the company in boosting output, streamlining implementation schedules, and lowering overhead expenses. Consequently, it is anticipated that cloud deployment would experience rapid expansion.

The human resource segment is expected to have the highest CAGR during the forecast period

The human resource segment is anticipated to witness the fastest CAGR growth during the forecast period, as a result of the expanding requirement for workforce management. Many businesses are implementing business intelligence tools to allow their HR managers to make decisions about their staff in real-time. It enables businesses to effectively comprehend and foresee talent availability, talent shortage, employee lifecycles, and attrition rates. Companies utilise analytics for hiring new employees to manage retention and retirement plans, monitor safety and learning, and evaluate performance. Business intelligence solutions also give HR managers immediate access to information about the cost, availability, effectiveness, and calibre of the world's labour force. To better understand employee engagement and attrition, anticipate the number of promotions based on experience, potential, skill set, and other important elements for promotion and appraisal activities, businesses are integrating business intelligence solutions with their existing HR software.

Region with highest share:

Asia Pacific is projected to hold the largest market share during the forecast period owing to of the IoT technology's commercialization and the rising use of cutting-edge technologies in nations like China, Japan, and India, which are boosting the need for business intelligence solutions and services. Additionally, the business intelligence industry now has a more precise and trustworthy advantage thanks to the growing market and need for IOT and big data.

Region with highest CAGR:

North America is projected to have the highest CAGR over the forecast period, owing to the rapid development and adoption of new technologies and key players like Microsoft Corporation, IBM Corporation, Oracle Corporation, Tableau Software, LLC, and others will fuel regional growth. A company in North America with a focus on the creation of sophisticated analytics, data governance, and data intelligence software is called The Business Intelligence Institute, SC (Mexico). The company uses machine learning, AI, IoT, and cloud computing in a variety of sectors, including national security, banking, and retail, among others. It is predicted that these dynamic groups will raise awareness of these solutions.

Key players in the market

Some of the key players profiled in the Business Intelligence Market include Tableau Software, LLC, Oracle Corporation, Microsoft Corporation, Sisense Inc., SAP SE, Domo, Inc., Yellowfin International Pty Ltd, SAS Institute Inc., Infor, IBM Corporation, Alphabet Inc., International Business Machines Corp., Panorama Software Inc., TIBCO Software Inc., ScienceSoft USA Corp., Amazon.com Inc., QlikTech international AB and Alteryx Inc.

Key Developments:

In August 2022, Sisense, the leading AI-driven platform for infusing data analytics, partners with Gerimedica, a multi-disciplinary electronic medical record (EMR) company that serves the aged-care market, to transform patient care with the power of big data. After deploying Sisense, Gerimedica has seen an average decline of 6% in admission days per patient, resulting in €540 reduced cost per patient.

In May 2022, Alteryx Inc, the Analytics Automation Company, unveiled new advancements that empower enterprises to enable cloud analytics, democratize insights, and ensure data governance. Alteryx delivers on these needs by offering intelligent data transformation and insights in the cloud at scale.

In June 2020, Microsoft Corporation and SAS Institute Inc. partnered to accelerate the growth of SAS Analytics and Microsoft Azure cloud. The companies aim to integrate SAS analytics solutions with Microsoft's complete cloud portfolio, including Dynamics 365Azure, Microsoft 365, and Power tool.

In October 2019, SAP SE announced enhancements to its business technology platform comprising SAP HANA Cloud, SAP Data Warehouse Cloud solution, and SAP analytics cloud. The new 4.3 release of SAP Business Objects Business Intelligence suite aims to support on-premise solutions by integrating SAP analytics cloud.

Components Covered:

  • Services
  • Solutions
  • Other Components

Deployment Modes Covered:

  • On- Premises
  • Cloud

Organization Sizes Covered:

  • Small and Medium-Sized Enterprises (SMEs)
  • Large Enterprises

Data Types Covered:

  • Semi-Structured Data
  • Unstructured Data
  • Structured Data

Business Functions Covered:

  • Finance
  • Human Resource
  • Operations
  • Sales and Marketing

Technologies Covered:

  • Cloud BI
  • Mobile BI
  • Social BI

Applications Covered:

  • CRM Analytic Operations
  • Production Planning Analytic Operations
  • Supply Chain Analytic Applications
  • Financial Performance and Strategy Management
  • Predictive Asset Maintenance
  • Fraud Detection and Security Management
  • Network Management and Optimization
  • Workforce Management
  • Sales and Marketing Management
  • Operations Management
  • Other Applications

End Users Covered:

  • Government and Public Services
  • Retail
  • Media and Entertainment
  • Telecom and IT
  • Tourism and Hospitality
  • Manufacturing
  • Transportation and Logistics
  • Healthcare and Life Sciences
  • Banking, Financial Services and Insurance (BFSI)
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2020, 2021, 2022, 2025, and 2028
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Business Intelligence Market, By Component

  • 5.1 Introduction
  • 5.2 Services
    • 5.2.1 Consulting
    • 5.2.2 Deployment and Integration
    • 5.2.3 Support and Maintenance
  • 5.3 Solutions
    • 5.3.1 Data Integration and ETL
    • 5.3.2 Dashboards and Scorecards
    • 5.3.3 Query and Analysis
    • 5.3.4 Reporting and Visualization
  • 5.4 Other Components

6 Global Business Intelligence Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 On- Premises
  • 6.3 Cloud

7 Global Business Intelligence Market, By Organization Size

  • 7.1 Introduction
  • 7.2 Small and Medium-Sized Enterprises (SMEs)
  • 7.3 Large Enterprises

8 Global Business Intelligence Market, By Data Type

  • 8.1 Introduction
  • 8.2 Semi-Structured Data
  • 8.3 Unstructured Data
  • 8.4 Structured Data

9 Global Business Intelligence Market, By Business Function

  • 9.1 Introduction
  • 9.2 Finance
  • 9.3 Human Resource
  • 9.4 Operations
  • 9.5 Sales and Marketing

10 Global Business Intelligence Market, By Technology

  • 10.1 Introduction
  • 10.2 Cloud BI
  • 10.3 Mobile BI
  • 10.4 Social BI

11 Global Business Intelligence Market, By Application

  • 11.1 Introduction
  • 11.2 CRM Analytic Operations
  • 11.3 Production Planning Analytic Operations
  • 11.4 Supply Chain Analytic Applications
  • 11.5 Financial Performance and Strategy Management
  • 11.6 Predictive Asset Maintenance
  • 11.7 Fraud Detection and Security Management
  • 11.8 Network Management and Optimization
  • 11.9 Workforce Management
  • 11.10 Sales and Marketing Management
  • 11.11 Operations Management
  • 11.12 Other Applications

12 Global Business Intelligence Market, By End User

  • 12.1 Introduction
  • 12.2 Government and Public Services
  • 12.3 Retail
  • 12.4 Media and Entertainment
  • 12.5 Telecom and IT
  • 12.6 Tourism and Hospitality
  • 12.7 Manufacturing
  • 12.8 Transportation and Logistics
  • 12.9 Healthcare and Life Sciences
  • 12.10 Banking, Financial Services and Insurance (BFSI)
  • 12.12 Other End Users

13 Global Business Intelligence Market, By Geography

  • 13.1 Introduction
  • 13.2 North America
    • 13.2.1 US
    • 13.2.2 Canada
    • 13.2.3 Mexico
  • 13.3 Europe
    • 13.3.1 Germany
    • 13.3.2 UK
    • 13.3.3 Italy
    • 13.3.4 France
    • 13.3.5 Spain
    • 13.3.6 Rest of Europe
  • 13.4 Asia Pacific
    • 13.4.1 Japan
    • 13.4.2 China
    • 13.4.3 India
    • 13.4.4 Australia
    • 13.4.5 New Zealand
    • 13.4.6 South Korea
    • 13.4.7 Rest of Asia Pacific
  • 13.5 South America
    • 13.5.1 Argentina
    • 13.5.2 Brazil
    • 13.5.3 Chile
    • 13.5.4 Rest of South America
  • 13.6 Middle East & Africa
    • 13.6.1 Saudi Arabia
    • 13.6.2 UAE
    • 13.6.3 Qatar
    • 13.6.4 South Africa
    • 13.6.5 Rest of Middle East & Africa

14 Key Developments

  • 14.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 14.2 Acquisitions & Mergers
  • 14.3 New Product Launch
  • 14.4 Expansions
  • 14.5 Other Key Strategies

15 Company Profiling

  • 15.1 Tableau Software, LLC
  • 15.2 Oracle Corporation
  • 15.3 Microsoft Corporation
  • 15.4 Sisense Inc.
  • 15.5 SAP SE
  • 15.6 Domo, Inc.
  • 15.7 Yellowfin International Pty Ltd
  • 15.8 SAS Institute Inc.
  • 15.9 Infor
  • 15.10 IBM Corporation
  • 15.11 Alphabet Inc.
  • 15.12 International Business Machines Corp.
  • 15.13 Panorama Software Inc.
  • 15.14 TIBCO Software Inc.
  • 15.15 ScienceSoft USA Corp.
  • 15.16 Amazon.com Inc.
  • 15.17 QlikTech international AB
  • 15.18 Alteryx Inc

List of Tables

  • Table 1 Global Business Intelligence Market Outlook, By Region (2020-2028) ($MN)
  • Table 2 Global Business Intelligence Market Outlook, By Component (2020-2028) ($MN)
  • Table 3 Global Business Intelligence Market Outlook, By Services (2020-2028) ($MN)
  • Table 4 Global Business Intelligence Market Outlook, By Consulting (2020-2028) ($MN)
  • Table 5 Global Business Intelligence Market Outlook, By Deployment and Integration (2020-2028) ($MN)
  • Table 6 Global Business Intelligence Market Outlook, By Support and Maintenance (2020-2028) ($MN)
  • Table 7 Global Business Intelligence Market Outlook, By Solutions (2020-2028) ($MN)
  • Table 8 Global Business Intelligence Market Outlook, By Data Integration and ETL (2020-2028) ($MN)
  • Table 9 Global Business Intelligence Market Outlook, By Dashboards and Scorecards (2020-2028) ($MN)
  • Table 10 Global Business Intelligence Market Outlook, By Query and Analysis (2020-2028) ($MN)
  • Table 11 Global Business Intelligence Market Outlook, By Reporting and Visualization (2020-2028) ($MN)
  • Table 12 Global Business Intelligence Market Outlook, By Other Components (2020-2028) ($MN)
  • Table 13 Global Business Intelligence Market Outlook, By Deployment Mode (2020-2028) ($MN)
  • Table 14 Global Business Intelligence Market Outlook, By On- Premises (2020-2028) ($MN)
  • Table 15 Global Business Intelligence Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 16 Global Business Intelligence Market Outlook, By Organization Size (2020-2028) ($MN)
  • Table 17 Global Business Intelligence Market Outlook, By Small and Medium-Sized Enterprises (SMEs) (2020-2028) ($MN)
  • Table 18 Global Business Intelligence Market Outlook, By Large Enterprises (2020-2028) ($MN)
  • Table 19 Global Business Intelligence Market Outlook, By Data Type (2020-2028) ($MN)
  • Table 20 Global Business Intelligence Market Outlook, By Semi-Structured Data (2020-2028) ($MN)
  • Table 21 Global Business Intelligence Market Outlook, By Unstructured Data (2020-2028) ($MN)
  • Table 22 Global Business Intelligence Market Outlook, By Structured Data (2020-2028) ($MN)
  • Table 23 Global Business Intelligence Market Outlook, By Business Function (2020-2028) ($MN)
  • Table 24 Global Business Intelligence Market Outlook, By Finance (2020-2028) ($MN)
  • Table 25 Global Business Intelligence Market Outlook, By Human Resource (2020-2028) ($MN)
  • Table 26 Global Business Intelligence Market Outlook, By Operations (2020-2028) ($MN)
  • Table 27 Global Business Intelligence Market Outlook, By Sales and Marketing (2020-2028) ($MN)
  • Table 28 Global Business Intelligence Market Outlook, By Technology (2020-2028) ($MN)
  • Table 29 Global Business Intelligence Market Outlook, By Cloud BI (2020-2028) ($MN)
  • Table 30 Global Business Intelligence Market Outlook, By Mobile BI (2020-2028) ($MN)
  • Table 31 Global Business Intelligence Market Outlook, By Social BI (2020-2028) ($MN)
  • Table 32 Global Business Intelligence Market Outlook, By Application (2020-2028) ($MN)
  • Table 33 Global Business Intelligence Market Outlook, By CRM Analytic Operations (2020-2028) ($MN)
  • Table 34 Global Business Intelligence Market Outlook, By Production Planning Analytic Operations (2020-2028) ($MN)
  • Table 35 Global Business Intelligence Market Outlook, By Supply Chain Analytic Applications (2020-2028) ($MN)
  • Table 36 Global Business Intelligence Market Outlook, By Financial Performance and Strategy Management (2020-2028) ($MN)
  • Table 37 Global Business Intelligence Market Outlook, By Predictive Asset Maintenance (2020-2028) ($MN)
  • Table 38 Global Business Intelligence Market Outlook, By Fraud Detection and Security Management (2020-2028) ($MN)
  • Table 39 Global Business Intelligence Market Outlook, By Network Management and Optimization (2020-2028) ($MN)
  • Table 40 Global Business Intelligence Market Outlook, By Workforce Management (2020-2028) ($MN)
  • Table 41 Global Business Intelligence Market Outlook, By Sales and Marketing Management (2020-2028) ($MN)
  • Table 42 Global Business Intelligence Market Outlook, By Operations Management (2020-2028) ($MN)
  • Table 43 Global Business Intelligence Market Outlook, By Other Applications (2020-2028) ($MN)
  • Table 44 Global Business Intelligence Market Outlook, By End User (2020-2028) ($MN)
  • Table 45 Global Business Intelligence Market Outlook, By Government and Public Services (2020-2028) ($MN)
  • Table 46 Global Business Intelligence Market Outlook, By Retail (2020-2028) ($MN)
  • Table 47 Global Business Intelligence Market Outlook, By Media and Entertainment (2020-2028) ($MN)
  • Table 48 Global Business Intelligence Market Outlook, By Telecom and IT (2020-2028) ($MN)
  • Table 49 Global Business Intelligence Market Outlook, By Tourism and Hospitality (2020-2028) ($MN)
  • Table 50 Global Business Intelligence Market Outlook, By Manufacturing (2020-2028) ($MN)
  • Table 51 Global Business Intelligence Market Outlook, By Transportation and Logistics (2020-2028) ($MN)
  • Table 52 Global Business Intelligence Market Outlook, By Healthcare and Life Sciences (2020-2028) ($MN)
  • Table 53 Global Business Intelligence Market Outlook, By Banking, Financial Services and Insurance (BFSI) (2020-2028) ($MN)
  • Table 54 Global Business Intelligence Market Outlook, By Other End Users (2020-2028) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.