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市场调查报告书
商品编码
1209870

全球商业智能市场：到2028预测—按组件、部署、组织规模（中小//大型企业）、数据类型、业务能力、技术、应用程序、最终用户和地区全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球商业智能市场预计将在 2022 年创下 272.7 亿美元的记录，并在 2028 年达到 502 亿美元，以 10 的复合年增长率增长 7%。

商业智能 (BI) 是一种分析数据并为员工、经理和领导者提供有用信息以做出更好的业务决策的艺术。 作为 BI 流程的一部分，公司从各种 IT 系统收集数据、准备数据进行分析、查询数据、创建数据可视化、BI 演示、报告和执行分析。将结果呈现给企业客户并做出战术和战略决策。

根据 NCRB 报告，2021 年将发生 4,047 起网上银行欺诈案件，价值 1,384 万亿卢比。

市场动态

驱动程序

对数据可视化仪表板的需求不断增长

许多企业使用涉及查找、收集、管理和传播大量数据的合理方法。 BI 解决方案用于为这些数据启用快速、简单的业务决策过程。 要了解客户偏好和趋势、获得战略洞察力并平衡新产品和现有产品和服务的供需，必须通过标准可视化功能提供数据。 各行各业的公司都使用数据可视化工具来轻鬆分析数据并获得有价值的业务见解。 基于云的数据可视化工具为企业提供了一种可扩展且经济实惠的数据分析方法。 通过 BI 解决方案，数据可视化功能有助于识别业务驱动因素和关键绩效指标 (KPI)。 通过消除混乱，您可以轻鬆发现可用于加速市场增长的模式、见解、趋势和使用策略。

约束

BI ROI 很难证明

虽然实施商业智能有很多好处，但找到合适的商业智能平台或软件、在您的组织中实施、维护以及培训员工如何使用它仍然需要大量的初始成本。 企业范围的业务应用程序不包括嵌入式、预测性或规范性分析。 BI 工具仍处于其成熟週期的早期阶段，因此它们不会很快过时。 预算是公司在投资新工具和技术时考虑的主要因素。 在使用商业智能时，成本是小型企业最关心的问题。 小型企业因购买所需软件的高昂成本而受阻。 此外，由于缺乏资源，聘请在数据科学、IT 基础架构和咨询分析方面经验丰富的专业人员既困难又冒险。 对部署商业智能工具所需的高基础设施成本的担忧加剧了这些障碍。

机会

云计算和大数据对 BI 解决方案产生重大影响

近年来，大数据分析、云计算等技术革新迅猛发展。 云计算被认为是 BI 应用程序的理想平台，因为它可以存储结构化和非结构化数据。 同样，大数据技术使这些工具能够评估大量数据，为组织提供可操作的见解，帮助他们发现机会并加强营销策略。

威胁

数据整合

软件客户和用户由许多因素决定，集成就是其中之一。 端到端集成使专业人员能够访问集成系统中的所有数据。 然而，商业智能和分析公司面临着重大的整合挑战。 基于云的商业智能解决方案因其显着优势而备受追捧，但云安装也面临许多挑战，包括本地数据的安全性和数据集成问题。 在这个领域，集成不同的分析软件、商业智能、主数据管理 (MDM)、大数据和分析工具可能具有挑战性。

COVID-19 的影响

由于新型冠状病毒的传播，许多行业都面临困难。 全球健康危机导致的经济衰退和供应链中断对商业投资产生了严重影响。 但这场危机提供了利用尖端分析来改进决策的机会。 市场进入者正在提供复杂的可视化仪表板，以帮助用户了解冠状病毒的当前状态。 例如，使用 Dundas BI，Dundas Data Visualization, Inc. 创建了实时仪表板。 同样，Microsoft 的 Power BI 正在与 USA Facts 合作，允许用户与 COVID-19 数据集进行交互并查看。 因此，对数据可视化仪表板的需求预计将在不久的将来达到历史新高。

预计在预测期内云部分将是最大的部分

据估计，云部分的增长利润丰厚。 已经在本地部署应用程序的企业可以将它们部署在云端，以增加存储、网络、工具和分析。 云部署提供外包 BI 基础架构和管理应用程序的选项。 此元素有助于提高生产力、简化部署计划并降低管理费用。 因此，我们预计云采用率将快速增长。

预计人力资源部门在预测期内的复合年增长率最高。

由于对人力资源管理的需求不断增长，预计人力资源部门在预测期内的复合年增长率最高。 许多公司正在部署商业智能工具来帮助人力资源专业人员做出实时的员工决策。 这使公司能够有效地了解和预测人才可用性、人才短缺、员工生命週期、离职率等。 公司使用分析来入职新员工、管理保留和退休计划、监控安全和学习以及衡量绩效。 商业智能解决方案还使 HR 专业人员能够即时访问有关全球劳动力的成本、可用性、效率和能力的信息。 企业可以将商业智能解决方案集成到现有的 HR 软件中，以了解晋升和评估活动中的关键因素，例如了解员工敬业度和离职率，并根据经验、潜力和技能组合预测晋升。

市场份额最高的地区

由于物联网技术的商业化以及中国、日本、印度等对尖端技术的日益使用，预计亚太地区在预测期内将占据最大的市场份额，从而推动对业务的需求智能解决方案和服务正在崛起。 此外，由于物联网和大数据的市场和需求不断扩大，商业智能行业现在正在获得更加准确和可靠的主导地位。

复合年增长率最高的地区

由于新技术的快速发展和采用，预计北美在预测期内的复合年增长率最高，Microsoft Corporation、IBM Corporation、Oracle Corporation 和 Tableau Software, LLC 等主要参与者推动了 The Business Intelligence Institute, SC（墨西哥）是一家专注于在北美创建复杂分析、数据治理和数据智能软件的公司。 该公司在国家安全、银行和零售等多个领域利用机器学习、人工智能、物联网和云计算。 这个充满活力的小组有望提高对这些解决方案的认识。

主要发展

2022 年 8 月，融合数据分析的领先人工智能驱动平台 Sisense 将与服务于老年护理市场的多学科电子病历 (EMR) 公司 Gerimedica 合作，利用数据。 在实施 Sisense 后，Gerimedica 报告称每位患者的住院时间平均减少了 6%，从而使每位患者节省了 540 欧元的成本。

2022 年 5 月，分析自动化公司 Alteryx Inc 宣布了赋能企业的新进展，包括支持云分析、民主化洞察和确保数据治理。 Alteryx 通过在云中大规模提供智能数据转换和洞察来满足这些需求。

2020 年 6 月，Microsoft Corporation 和 SAS Institute Inc. 合作加速 SAS Analytics 和 Microsoft Azure 云的发展。 两家公司将寻求将 Microsoft 完整的云产品组合与 SAS 分析解决方案集成，包括 Dynamics 365Azure、Microsoft 365 和 Power tools。

2019 年 10 月，SAP SE 宣布增强其业务技术平台，包括 SAP HANA Cloud、SAP Data Warehouse Cloud 解决方案和 SAP Analytics Cloud。 SAP Business Objects 商业智能套件的新 4.3 版本旨在通过集成 SAP 分析云来支持本地解决方案。

本报告的内容

  • 评估区域和国家级细分市场的市场份额
  • 向新进入者提出战略建议
  • 2020、2021、2022、2025 和 2028 年的综合市场数据
  • 市场趋势（驱动因素、制约因素、机会、威胁、挑战、投资机会、建议）
  • 根据市场预测在关键业务领域提出战略建议
  • 竞争格局映射主要共同趋势
  • 详细的战略、财务、公司简介，包括最近的发展
  • 映射最新技术进步的供应链趋势

免费定制服务

订阅此报告的客户将免费获得以下自定义选项之一。

  • 公司简介
    • 其他市场参与者的综合概况（最多 3 家公司）
    • 主要参与者的 SWOT 分析（最多 3 家公司）
  • 区域细分
    • 根据客户要求对主要国家/地区的市场进行估算、预测和復合年增长率（注意：基于可行性检查。）
  • 竞争基准
    • 根据产品组合、地域分布和战略联盟对主要参与者进行基准测试

内容

第 1 章执行摘要

第二章前言

  • 概览
  • 利益相关者
  • 调查范围
  • 调查方法
    • 数据挖掘
    • 数据分析
    • 数据验证
    • 研究方法
  • 调查来源
    • 主要研究信息来源
    • 二手研究资源
    • 假设

第三章市场趋势分析

  • 司机
  • 约束因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第 5 章全球商业智能市场：按组件分类

  • 服务
    • 咨询
    • 部署和集成
    • 支持和维护
  • 解决方案
    • 数据集成和 ETL
    • 仪表板和记分卡
    • 查询和分析
    • 报告和可视化
  • 其他组件

第 6 章全球商业智能市场：按部署模式

  • 本地
  • 云

第 7 章全球商业智能市场：按组织规模分类

  • 中小型企业 (SME)
  • 大公司

第 8 章全球商业智能市场：按数据类型

  • 半结构化数据
  • 非结构化数据
  • 结构化数据

第 9 章全球商业智能市场：按业务功能分类

  • 财务
  • 人力资源
  • 运营
  • 销售和营销

第 10 章全球商业智能市场：按技术分类

  • 云端商务智能
  • 移动商务智能
  • 社交商务智能

第 11 章全球商业智能市场：按应用

  • CRM 分析工作
  • 生产计划分析
  • 供应链分析应用
  • 财务绩效和战略管理
  • 预测性维护
  • 欺诈检测和安全管理
  • 网络管理和优化
  • 劳动力管理
  • 销售和营销管理
  • 企业管理
  • 其他应用

第 12 章全球商业智能市场：按最终用户分类

  • 政府和公共服务
  • 零售
  • 媒体和娱乐
  • 电信和 IT
  • 旅游业和酒店业
  • 製造业
  • 运输/物流
  • 医疗保健和生命科学
  • 银行、金融服务和保险 (BFSI)
  • 其他最终用户

第 13 章全球商业智能市场：区域

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 意大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 新西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 卡塔尔
    • 南非
    • 其他中东地区

第14章主要发展

  • 合同、伙伴关係、协作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十五章公司简介

  • 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.