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商業智慧

市場調查報告書

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1624494

全球商業智慧市場規模：按地區、範圍和預測

Global Business Intelligence Market Size By Organization Size (Large Enterprises, Small And Medium-Sized Enterprises ), By Deployment Mode, By End-User, By Geographic Scope And Forecast

出版日期: 2024年10月20日 | 出版商:

Verified Market Research | 英文 202 Pages | 商品交期: 2-3個工作天內

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簡介目錄

商業智慧市場規模及預測

預計商業智慧市場規模將在 2024 年達到 810.5 億美元，在 2031 年達到 5,485.3 億美元，2024 年至 2031 年的複合年增長率為 27%。商業智慧 (BI) 是指用於收集、分析和呈現業務資料以幫助做出明智決策的技術、工具和實踐。BI 涵蓋一系列流程，包括資料探勘、報告和分析，使企業能夠將原始資料轉化為有意義的見解。BI 使企業能夠發現趨勢、追蹤績效指標並確定成長和效率的機會。實際上，BI 應用涵蓋各種行業和職能，從銷售和行銷到財務和營運。例如，企業使用 BI 工具來分析客戶行為、預測銷售、監控供應鏈效率、評估財務健康狀況等。儀表板和視覺化工具使利害關係人能夠快速解釋複雜的數據，從而讓他們能夠對市場變化做出快速反應並制定明智的策略。

全球商業智慧市場動態

主要市場推動因素

增加數據量：

企業產生的數據的爆炸性增長正在推動對有效商業智慧 (BI) 解決方案的需求。企業需要工具來分析和解釋大量數據以做出明智的決策。根據美國勞工統計局的數據，從2022 年到2032 年，數據科學家和精算科學家的就業人數預計將增長31%，遠高於所有職業的平均水平，這使得數據分析成為商業的重要組成部分。反映了資料科學家和精算科學家的重要性日益增加的

即時分析的需求日益增加：

隨著企業追求敏捷性，即時分析的需求也急遽上升。BI 工具使組織能夠存取最新數據，使他們能夠做出更快的、數據驅動的決策。美國人口普查局 2023 年的一項調查發現，擁有 250 名或以上員工的公司中有 67% 使用進階資料分析進行即時決策，高於 2020 年的 52%。

競爭日益激烈：

在當今的競爭環境中，企業必須利用數據來獲得優勢。商業智慧提供的見解可幫助企業瞭解市場趨勢並優化其策略以提高業務績效。美國小型企業管理局報告稱，到 2023 年，使用數據分析的小型企業報告收入增加的可能性比不使用數據分析的小型企業高出 23%。

雲端解決方案的興起：

向基於雲端的技術的轉變正在擴大對 BI 工具的存取範圍。雲端解決方案提供可擴展性和成本效益，使各種規模的組織能夠更輕鬆地獲得商業智慧。根據美國人口普查局的年度商業調查，截至 2022 年，63.3% 擁有 20 名或以上員工的企業將使用基於雲端的商業智慧或資料分析工具，高於 2018 年的 45.7%。

主要課題

資料安全問題：

隨著我們對資料的依賴性不斷增加，對資料隱私和安全的擔憂也隨之增加。由於擔心資料外洩和合規性問題，公司常常猶豫是否採用 BI 解決方案。確保強而有力的安全措施可能會使部署過程變得複雜。

整合複雜度：

將 BI 工具與現有 IT 基礎架構整合可能是一項複雜且耗時的任務。組織在實現無縫互通性方面可能會面臨課題，這可能會導致業務中斷。這種複雜性可能會阻礙全面採用 BI 解決方案。

變革阻力：

組織內部的文化阻力可能會阻礙商業智慧工具的採用。員工可能不願意放棄傳統的決策流程並採用新技術。克服這種阻力需要有效的變革管理策略和訓練工作。

快速發展的技術：

BI 技術的快速發展可能會引發人們對其過時的擔憂。組織可能不願意投資那些很快就會過時或需要頻繁升級的解決方案。這種不確定性可能會使 BI 投資的長期規劃變得複雜。

主要趨勢

整合人工智慧和機器學習：

將人工智慧和機器學習融入商業智慧工具將增強數據分析能力。這一趨勢將實現預測洞察，幫助組織做出更主動、更明智的決策。根據美國人口普查局的年度商業調查，截至 2022 年，29.3% 的大公司（250 名或以上員工）將使用機器學習進行業務分析，高於 2018 年的 18.7%。

自助式 BI 的興起：

自助式商業智慧使用戶能夠自行分析數據，減少對 IT 的依賴。數據的民主化推動了組織各層面更敏捷的決策過程。根據美國勞工統計局 2023 年的報告，從 2020 年到 2023 年，傳統 IT 職位之外需要數據分析技能的工作將增長 24%，這反映了自助分析日益增長的趨勢。

基於雲端的解決方案：

轉向基於雲端的商業智慧解決方案可提高可擴展性和可存取性。這些解決方案使公司能夠利用分析工具，而無需承擔大型內部基礎設施的負擔，從而促進遠端工作和協作。根據美國國家科學技術統計中心的數據，到 2023 年，72% 擁有 100 多名員工的公司將使用基於雲端的數據分析工具，高於 2020 年的 58%。

Business Intelligence Market size was valued at USD 81.05 Billion in 2024 and is projected to reach USD 548.53 Billion by 2031, growing at a CAGR of 27% from 2024 to 2031. Business Intelligence (BI) refers to the technologies, tools, and practices used to collect, analyze, and present business data to support informed decision-making. It encompasses a range of processes, including data mining, reporting, and analytics, allowing organizations to transform raw data into meaningful insights. By utilizing BI, companies can identify trends, track performance metrics, and uncover opportunities for growth and efficiency. In practice, BI applications span various industries and functions, from sales and marketing to finance and operations. For instance, organizations use BI tools to analyze customer behavior, forecast sales, monitor supply chain efficiency, and assess financial health. Dashboards and visualization tools help stakeholders quickly interpret complex data, enabling agile responses to market changes and informed strategic planning.

Global Business Intelligence Market Dynamics

The key market dynamics that are shaping the global business intelligence market include:

Key Market Drivers

Growing Data Volume:

The explosion of data generated by businesses is driving the demand for effective business intelligence (BI) solutions. Organizations need tools to analyze and interpret large volumes of data to make informed decisions. According to the U.S. Bureau of Labor Statistics, employment of data scientists and mathematical science occupations is projected to grow 31% from 2022 to 2032, much faster than the average for all occupations, reflecting the increasing importance of data analysis in business.

Increasing Need for Real-Time Analytics:

As businesses strive for agility, the demand for real-time analytics has surged. BI tools enable organizations to access up-to-the-minute data, allowing for faster, data-driven decision-making. A 2023 survey by the U.S. Census Bureau found that 67% of businesses with 250 or more employees were using advanced data analytics for real-time decision making, up from 52% in 2020.

Rising Competition:

In today's competitive landscape, companies must leverage data to stay ahead. Business intelligence provides insights that help organizations identify market trends and optimize strategies for better performance. The U.S. Small Business Administration reported in 2023 that small businesses using data analytics were 23% more likely to report increased revenue compared to those that didn't.

Rising Adoption of Cloud Solutions:

The shift toward cloud-based technologies is facilitating wider access to BI tools. Cloud solutions offer scalability and cost-effectiveness, making it easier for organizations of all sizes to implement business intelligence. According to the U.S. Census Bureau's Annual Business Survey, as of 2022, 63.3% of businesses with 20 or more employees were using cloud-based business intelligence or data analytics tools, up from 45.7% in 2018.

Key Challenges:

Data Security Concerns:

With the increasing reliance on data comes heightened concerns over data privacy and security. Organizations may hesitate to adopt BI solutions due to fears of data breaches or compliance issues. Ensuring robust security measures can complicate the implementation process.

Complexity of Integration:

Integrating BI tools with existing IT infrastructure can be a complex and time-consuming task. Organizations may face challenges in achieving seamless interoperability, which can lead to disruptions in operations. This complexity may deter companies from fully adopting BI solutions.

Resistance to Change:

Cultural resistance within organizations can impede the adoption of business intelligence tools. Employees may be reluctant to move away from traditional decision-making processes and adopt new technologies. Overcoming this resistance requires effective change management strategies and training initiatives.

Rapidly Evolving Technology:

The fast-paced evolution of BI technologies can lead to concerns about obsolescence. Organizations may be hesitant to invest in solutions that could quickly become outdated or require frequent upgrades. This uncertainty can complicate long-term planning for BI investments.

Key Trends

AI and Machine Learning Integration:

The incorporation of AI and machine learning into business intelligence tools is enhancing data analysis capabilities. This trend allows for predictive insights, enabling organizations to make more proactive and informed decisions. According to the U.S. Census Bureau's Annual Business Survey, as of 2022, 29.3% of large businesses (those with 250 or more employees) reported using machine learning for business analytics, up from 18.7% in 2018.

Rise of Self-Service BI:

Self-service business intelligence is empowering users to analyze data independently, reducing reliance on IT departments. This democratization of data fosters a more agile decision-making process across all levels of an organization. A 2023 report by the U.S. Bureau of Labor Statistics indicated that jobs requiring data analysis skills outside of traditional IT roles increased by 24% from 2020 to 2023, reflecting the growing trend of self-service analytics.

Cloud-Based Solutions:

The shift towards cloud-based business intelligence solutions offers greater scalability and accessibility. These solutions allow organizations to leverage analytics tools without the burden of extensive on-premises infrastructure, facilitating remote work and collaboration. The U.S. National Center for Science and Engineering Statistics reported that in 2023, 72% of businesses with 100 or more employees were using cloud-based data analytics tools, up from 58% in 2020.

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Global Business Intelligence Market Regional Analysis

Here is a more detailed regional analysis of the global business intelligence market:

Asia Pacific

The Asia Pacific region is experiencing rapid growth in the business intelligence (BI) market, driven by digital transformation initiatives, increasing data volumes, and a growing recognition of the value of data-driven decision-making. Countries like China, India, Japan, and Singapore are at the forefront of this trend, with businesses across various sectors investing in BI solutions to gain competitive advantages and optimize operations.

The region's dynamic economic landscape and technological advancements are creating fertile ground for BI adoption. According to the Indian Ministry of Electronics and Information Technology, the country's analytics and business intelligence software market is projected to reach USD 2 Billion by 2025, growing at a CAGR of 15.5% from 2020.

The COVID-19 pandemic has accelerated the adoption of BI solutions in the Asia Pacific region, as businesses seek to navigate uncertainties and adapt to rapidly changing market conditions. This has led to increased demand for real-time analytics, predictive modeling, and data visualization tools that can help organizations identify trends, optimize supply chains, and forecast future scenarios.

Many companies are now prioritizing investments in cloud-based BI platforms that offer scalability and accessibility. A survey conducted by the Australian Bureau of Statistics in 2023 revealed that 57% of large businesses had implemented cloud-based data analytics solutions, up from 42% in 2021, highlighting the growing importance of flexible BI tools in the region.

North America

North America is establishing itself as the dominant force in the global business intelligence (BI) market, driven by widespread adoption across industries and continuous technological advancements. The region's robust IT infrastructure, coupled with a high concentration of tech-savvy businesses, has created an ideal environment for BI solutions to thrive.

Companies are increasingly leveraging BI tools to gain actionable insights from their data, improve decision-making processes, and maintain a competitive edge in rapidly evolving markets. According to the U.S. Bureau of Labor Statistics, employment of management analysts, who often use BI tools, is projected to grow 11% from 2021 to 2031, faster than the average for all occupations, indicating the growing importance of data-driven decision-making in businesses.

The COVID-19 pandemic has further accelerated the adoption of BI solutions in North America, as organizations seek to navigate uncertainties and adapt to rapidly changing market conditions. This has led to increased demand for real-time analytics, predictive modeling, and data visualization tools that can help businesses identify trends, optimize operations, and forecast future scenarios.

Many companies are now prioritizing investments in cloud-based BI platforms that offer scalability, accessibility, and advanced analytics capabilities. A survey conducted by the U.S. Census Bureau in 2023 revealed that 65% of businesses with 250 or more employees had adopted cloud-based data analytics solutions, highlighting the shift towards more flexible and powerful BI tools.

Global Business Intelligence Market: Segmentation Analysis

The Global Business Intelligence Market is segmented based on Organization Size, Deployment Mode, End-User, And Geography.

Business Intelligence Market, By Organization Size

Large Enterprises
Small and Medium-Sized Enterprises (SMEs)

Based on Organization Size, the Global Business Intelligence Market is bifurcated into Large Enterprises and Small and Medium-Sized Enterprises (SMEs). In the business intelligence (BI) market, large enterprises currently dominate due to their extensive resources, complex data needs, and ability to invest in advanced BI solutions for strategic decision-making. However, the Small and Medium-Sized Enterprises (SMEs) segment is rapidly growing, driven by increasing awareness of the benefits of data analytics and the availability of affordable, user-friendly BI tools tailored to smaller organizations. This shift indicates a broader trend toward democratizing data access and enabling SMEs to leverage insights for competitive advantage.

Business Intelligence Market, By Deployment Mode

Cloud
On-Premises

Based on Deployment Mode, the Global Business Intelligence Market is bifurcated into Cloud, On-Premises. In the business intelligence (BI) market, the cloud deployment mode currently dominates due to its scalability, cost-effectiveness, and ease of integration with other cloud-based applications. However, the on-premises segment is experiencing rapid growth, particularly among organizations that prioritize data security and control over their sensitive information. This trend reflects a balanced approach, as businesses increasingly seek tailored solutions that meet specific compliance and security requirements while still leveraging the benefits of BI technologies.

Business Intelligence Market, By End-User

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

Based on End-User, the Global Business Intelligence Market is bifurcated into Retail, Manufacturing, Government and Public Services, Media and Entertainment, Transportation and Logistics, BFSI, Telecom and IT, Healthcare and Life Sciences, and Tourism and Hospitality. In the business intelligence (BI) market, the BFSI (Banking, Financial Services, and Insurance) segment currently dominates, driven by the industry's need for data analytics to enhance risk management, customer insights, and regulatory compliance. Meanwhile, the healthcare and life sciences segment is rapidly growing, fueled by the increasing importance of data-driven decision-making in patient care, operational efficiency, and compliance with health regulations. This trend reflects the healthcare sector's shift toward leveraging BI for better outcomes and improved service delivery.

Business Intelligence Market, By Geography

North America
Europe
Asia Pacific
Rest of the World

Based on Geography, the Global Business Intelligence Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. In the business intelligence (BI) market, North America is the dominant region, supported by a mature technology landscape, extensive investment in data analytics, and a high concentration of leading BI solution providers. However, the Asia Pacific region is rapidly growing, driven by increased adoption of advanced analytics tools and the rising demand for data-driven decision-making among businesses in emerging economies like India and China. This shift reflects the region's commitment to leveraging BI for competitive advantage and operational efficiency.

Key Players

The "Global Business Intelligence Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are
IBM Corporation, Microsoft Corporation, Tableau Software, LLC, Oracle Corporation, Sisense, Inc., Yellowfin International PVT. LTD., Qlik, SAP, Board International, MicroStaterg.

Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with its product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Global Business Intelligence Market Key Developments

In February 2021, Microsoft unveiled Power BI enhancements, introducing new AI-driven features that improve data visualization and enable users to generate insights more efficiently across various industries.
In May 2022, Tableau announced the launch of Tableau Cloud, a fully managed cloud analytics platform that simplifies collaboration and allows organizations to share insights seamlessly across teams and locations.

1 INTRODUCTION OF GLOBAL BUSINESS INTELLIGENCE MARKET

1.1 Introduction of the Market
1.2 Scope of Report
1.3 Assumptions

2 EXECUTIVE SUMMARY

3 RESEARCH METHODOLOGY OF VERIFIED MARKET RESEARCH

3.1 Data Mining
3.2 Validation
3.3 Primary Interviews
3.4 List of Data Sources

4 GLOBAL BUSINESS INTELLIGENCE MARKET OUTLOOK

4.1 Overview
4.2 Market Dynamics
- 4.2.1 Drivers
- 4.2.2 Restraints
- 4.2.3 Opportunities
4.3 Porters Five Force Model
4.4 Value Chain Analysis

5 GLOBAL BUSINESS INTELLIGENCE MARKET, BY ORGANIZATION SIZE

5.1 Overview
5.2 Large Enterprises
5.3 Small and Medium-sized Enterprises (SMEs)

6 GLOBAL BUSINESS INTELLIGENCE MARKET, BY DEPLOYMENT MODE

6.1 Overview
6.2 Cloud
6.3 On-premises

7 GLOBAL BUSINESS INTELLIGENCE MARKET, BY BUSINESS FUNCTION

7.1 Overview
7.2 Human Resource
7.3 Finance
7.4 Operations
7.5 Sales and Marketing

8 GLOBAL BUSINESS INTELLIGENCE MARKET, BY VERTICAL

8.1 Overview
8.2 Retail
8.3 Manufacturing
8.4 Government and Public Services
8.5 Media and Entertainment
8.6 Transportation and Logistics
8.7 BFSI
8.8 Telecom and IT
8.9 Healthcare and Life Sciences
8.10 Tourism and Hospitality
8.11 Others

9 GLOBAL BUSINESS INTELLIGENCE MARKET, BY GEOGRAPHY

9.1 Overview
9.2 North America
- 9.2.1 U.S.
- 9.2.2 Canada
- 9.2.3 Mexico
9.3 Europe
- 9.3.1 Germany
- 9.3.2 U.K.
- 9.3.3 France
- 9.3.4 Rest of Europe
9.4 Asia Pacific
- 9.4.1 China
- 9.4.2 Japan
- 9.4.3 India
- 9.4.4 Rest of Asia Pacific
9.5 Rest of the World
- 9.5.1 Latin America
- 9.5.2 Middle East and Africa

10 GLOBAL BUSINESS INTELLIGENCE MARKET COMPETITIVE LANDSCAPE

10.1 Overview
10.2 Company Market Ranking
10.3 Key Development Strategies

11 COMPANY PROFILES

11.1 IBM Corporation
- 11.1.1 Overview
- 11.1.2 Financial Performance
- 11.1.3 Product Outlook
- 11.1.4 Key Developments
11.2 Microsoft Corporation
- 11.2.1 Overview
- 11.2.2 Financial Performance
- 11.2.3 Product Outlook
- 11.2.4 Key Developments
11.3 Oracle Corporation
- 11.3.1 Overview
- 11.3.2 Financial Performance
- 11.3.3 Product Outlook
- 11.3.4 Key Developments
11.4 Sisense Inc
- 11.4.1 Overview
- 11.4.2 Financial Performance
- 11.4.3 Product Outlook
- 11.4.4 Key Developments
11.5 Yellowfin International PVT. LTD
- 11.5.1 Overview
- 11.5.2 Financial Performance
- 11.5.3 Product Outlook
- 11.5.4 Key Developments
11.6 Qlik
- 11.6.1 Overview
- 11.6.2 Financial Performance
- 11.6.3 Product Outlook
- 11.6.4 Key Developments
11.7 SAP
- 11.7.1 Overview
- 11.7.2 Financial Performance
- 11.7.3 Product Outlook
- 11.7.4 Key Developments
11.8 Board International
- 11.8.1 Overview
- 11.8.2 Financial Performance
- 11.8.3 Product Outlook
- 11.8.4 Key Developments
11.9 Micro Staterg
- 11.9.1 Overview
- 11.9.2 Financial Performance
- 11.9.3 Product Outlook
- 11.9.4 Key Developments
11.10 Tableau Software, LLC
- 11.10.1 Overview
- 11.10.2 Financial Performance
- 11.10.3 Product Outlook
- 11.10.4 Key Developments