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商業智慧

市場調查報告書

商品編碼

1618431

按軟體、服務、部署模型、地區、範圍和預測劃分的全球商業智慧和分析市場規模

Global Business Intelligence And Analytics Market Size By Software (On-Premises, Cloud-Based/Hosted), By Services (Professional Services, Managed Services), By Deployment Model (On-Premises, Cloud), By Geographic Scope And Forecast

出版日期: 2024年09月05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

商業智慧與分析市場規模及預測

2024 年商業智慧和分析市場規模為 340.4 億美元，預計 2024 年至 2031 年複合年增長率為 8.45%，預計到 2031 年達到 651.4 億美元。商業智慧 (BI) 和分析包含用於收集、分析和呈現業務資料以支援決策的流程、技術和工具。 BI 專注於收集過去和目前的數據以提供可行的見解，而分析則使用統計分析和預測建模等先進技術來識別趨勢、模式和未來結果（包括技術）。將 BI 與分析結合，使組織能夠做出明智的、數據驅動的決策並提高整體業務績效。

BI 和分析應用於各個領域，以提高營運效率、策略規劃和競爭優勢。在零售業，BI工具可以分析銷售數據以優化庫存管理和行銷策略。

在金融領域，分析可以預測市場趨勢並管理風險。 BI 和分析的應用擴展到客戶洞察、營運效率和財務績效，這使得它們對於策略性業務營運至關重要。

全球商業智慧與分析市場動態

塑造全球商業智慧與分析市場的關鍵市場動態

主要市場驅動因子

資料量和複雜度不斷增加：

各種來源的資料呈指數級增長，推動了對 BI 和分析解決方案的需求，這些解決方案可以有效管理、處理複雜的資料集並從中提取有價值的見解。根據美國勞工統計局的數據，隨著複雜數據管理重要性的增加，數據科學家的就業人數預計從 2021 年到 2031 年將增加 36%，遠快於所有職業的平均水平。

資料驅動決策的需求：

組織擴大採用 BI 和分析，根據全面的數據分析做出明智的決策，從而提高策略規劃和營運效率。美國小型企業管理局 2023 年的一份報告發現，使用數據分析的小型企業比不使用數據分析的小型企業盈利的可能性高 23%。

技術進步：

人工智慧、機器學習和大數據技術的創新正在增強商業智慧和分析工具的功能，從而實現更高級的數據分析和即時洞察。美國國家科學基金會報告稱，2023 年底，用於數據分析領域的人工智慧和機器學習研究的聯邦資金年增 45%。

競爭壓力：

企業使用 BI 和分析來瞭解市場趨勢、瞭解客戶行為並優化效能，以獲得競爭優勢並提高採用率。美國人口普查局 2023 年的一項研究發現，使用高級分析工具的公司的收入成長平均是沒有此類工具的公司的 2.5 倍。

監理合規要求：

不斷增長的監管和合規性要求需要強大的 BI 和分析解決方案，以確保準確的報告、數據完整性以及符合行業標準。 2023 年，美國證券交易委員會 (SEC) 報告稱，使用高級分析進行合規監督的公司面臨監管罰款和處罰的可能性降低了 30%。

主要挑戰

實施成本高：

BI 和分析工具（包括軟體、硬體和培訓）所需的初始投資可能很大，並且可能會限制小型組織的採用。

資料隱私與安全問題：

確保敏感資料受到保護並保持對隱私法規的遵守可能很困難，並且會帶來阻礙 BI 和分析解決方案的採用和使用的風險。

整合複雜度：

將 BI 和分析工具與現有系統和資料來源整合可能非常複雜且耗時，通常需要大量的客製化和技術專業知識。

缺乏技能：

由於缺乏能夠有效管理和利用 BI 和分析工具的熟練專業人員，因此很難充分利用這些技術的潛力。

資料品質問題：

不準確或不完整的數據可能會破壞 BI 和分析解決方案的有效性，並促使不可靠的見解和決策，從而阻礙組織投資這些工具。

主要趨勢

人工智慧與機器學習的整合：

當人工智慧和機器學習整合到 BI 和分析平台中以實現高級預測分析、自動化數據處理、從複雜數據集中產生深刻見解並提高決策能力時，就會不斷增強。美國國家標準與技術研究院 (NIST) 2023 年的一份報告發現，與傳統 BI 工具相比，實施 AI 增強分析解決方案的組織的預測準確性提高了 40%。

採用自助式 BI 工具：

自助式 BI 工具的發展趨勢日益明顯，這些工具使整個組織的使用者能夠獨立存取和分析數據，從而減少對 IT 的依賴並培育數據驅動的文化。美國勞工統計局 2023 年的一項研究發現，廣泛實施自助式 BI 工具的公司報告稱，與數據分析任務相關的員工生產力提高了 25%。

越來越重視即時分析：

動態業務環境中對即時洞察和快速決策的需求正在推動對即時資料處理和分析的需求，從而要求開發更敏捷、響應更靈敏的 BI 解決方案。美國能源部 2023 年底發佈的下一代數據分析報告強調，即時分析有潛力透過更高效的負載平衡將智慧電網系統的能耗降低高達 15%。

Business Intelligence And Analytics Market size was valued at USD 34.04 Billion in 2024 and is projected to reach USD 65.14 Billion by 2031, growing at a CAGR of 8.45% from 2024 to 2031. Business Intelligence (BI) and Analytics encompass the processes, technologies, and tools used to collect, analyze, and present business data to support decision-making. BI focuses on gathering historical and current data to provide actionable insights, while analytics involves advanced techniques such as statistical analysis and predictive modeling to identify trends, patterns, and future outcomes. Together, they enable organizations to make informed, data-driven decisions and improve overall business performance.

BI and Analytics are applied across various domains to enhance operational efficiency, strategic planning, and competitive advantage. In retail, BI tools can analyze sales data to optimize inventory management and marketing strategies.

In finance, analytics can predict market trends and manage risks. The applications extend to customer insights, operational efficiency, and financial performance, making BI and Analytics essential for strategic business operations.

Global Business Intelligence And Analytics Market Dynamics

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

Key Market Drivers

Increase in Data Volume and Complexity:

The exponential growth of data from various sources drives demand for BI and analytics solutions to effectively manage, process, and extract valuable insights from complex datasets. According to the U.S. Bureau of Labor Statistics, data scientist jobs are projected to grow by 36% from 2021 to 2031, much faster than the average for all occupations, indicating the increasing importance of managing complex data.

Need for Data-Driven Decision-Making:

Organizations are increasingly adopting BI and analytics to make informed decisions based on comprehensive data analysis, which enhances strategic planning and operational efficiency. A 2023 report by the U.S. Small Business Administration found that small businesses using data analytics were 23% more likely to be profitable compared to those that didn't.

Advancements in Technology:

Innovations in AI, machine learning, and big data technologies are enhancing the capabilities of BI and analytics tools, enabling more sophisticated data analysis and real-time insights. The National Science Foundation reported in late 2023 that federal funding for AI and machine learning research in data analytics increased by 45% compared to the previous year.

Competitive Pressure:

Businesses are leveraging BI and analytics to gain a competitive edge by identifying market trends, understanding customer behavior, and optimizing performance, leading to increased adoption. A 2023 survey by the U.S. Census Bureau found that businesses using advanced analytics tools reported an average revenue growth 2.5 times higher than those not utilizing such tools.

Regulatory Compliance Requirements:

Growing regulatory and compliance demands necessitate robust BI and analytics solutions to ensure accurate reporting, data integrity, and adherence to industry standards. The U.S. Securities and Exchange Commission (SEC) reported in 2023 that companies using advanced analytics for compliance monitoring were 30% less likely to face regulatory fines or penalties.

Key Challenges:

High Implementation Costs:

The initial investment required for BI and analytics tools, including software, hardware, and training, can be substantial, potentially limiting adoption among smaller organizations.

Data Privacy and Security Concerns:

Ensuring the protection of sensitive data and maintaining compliance with privacy regulations can be challenging, posing risks that may hinder the implementation and use of BI and analytics solutions.

Complexity of Integration:

Integrating BI and analytics tools with existing systems and data sources can be complex and time-consuming, often requiring significant customization and technical expertise.

Skill Shortages:

There is a shortage of skilled professionals who can effectively manage and utilize BI and analytics tools, leading to difficulties in fully leveraging the potential of these technologies.

Data Quality Issues:

Inaccurate or incomplete data can undermine the effectiveness of BI and analytics solutions, leading to unreliable insights and decisions, which can deter organizations from investing in these tools.

Key Trends

Integration of AI and Machine Learning:

AI and machine learning are increasingly being integrated into BI and analytics platforms to provide advanced predictive analytics, automate data processing, and generate deeper insights from complex datasets, enhancing decision-making capabilities. According to the National Institute of Standards and Technology (NIST) in a 2023 report, organizations implementing AI-enhanced analytics solutions reported a 40% improvement in prediction accuracy compared to traditional BI tools.

Adoption of Self-Service BI Tools:

There is a growing trend towards self-service BI tools that empower users across an organization to access and analyze data independently, reducing reliance on IT departments and fostering a data-driven culture. A 2023 survey by the U.S. Bureau of Labor Statistics found that companies with widespread adoption of self-service BI tools reported a 25% increase in employee productivity related to data analysis tasks.

Increasing Focus on Real-Time Analytics:

The demand for real-time data processing and analytics is rising, driven by the need for immediate insights and quick decision-making in dynamic business environments, leading to the development of more agile and responsive BI solutions. The U.S. Department of Energy's report on next-generation data analytics, published in late 2023, highlighted that real-time analytics could potentially reduce energy consumption in smart grid systems by up to 15% through more efficient load balancing.

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Global Business Intelligence And Analytics Market Regional Analysis

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

North America

North America stands as the dominant force in the global business intelligence (BI) and analytics market. North America boasts a highly developed technological ecosystem, including cutting-edge data centers, robust cloud computing capabilities, and advanced networking infrastructure. This technological maturity supports the efficient deployment and operation of BI and analytics tools, enabling organizations to process and analyze large volumes of data with high performance and reliability.

The region is characterized by rapid digital transformation across industries, with businesses increasingly integrating digital technologies into their operations. This transformation drives the adoption of BI and analytics solutions as companies seek to harness data for strategic decision-making, operational efficiency, and competitive advantage. The widespread use of digital technologies accelerates the demand for sophisticated analytics tools that can provide actionable insights.

North America is home to a substantial number of technology companies and investors who prioritize innovation in BI and analytics. Major technology firms, such as IBM, Microsoft, and Oracle, are based in the region, continuously developing advanced BI tools and analytics platforms. Investments in research and development, coupled with a strong focus on technological advancement, fuel the creation of cutting-edge solutions and drive market growth.

Asia Pacific

The Asia-Pacific region is experiencing rapid expansion in the business intelligence (BI) and analytics market. The Asia-Pacific region's digital economy is growing at a remarkable pace, driven by increasing internet penetration, smartphone adoption, and digital services expansion. This rapid digitalization is creating vast amounts of data, which businesses are eager to analyze and leverage for strategic insights. As a result, there is a strong demand for BI and analytics solutions to manage and derive value from this data, fostering market growth.

Cloud computing is becoming increasingly prevalent in Asia-Pacific, with businesses across the region adopting cloud-based solutions for their flexibility, scalability, and cost-efficiency. Cloud adoption enables organizations to implement BI and analytics tools more easily, providing access to powerful data processing capabilities without the need for significant upfront infrastructure investments. This shift towards cloud-based analytics is a key driver of market expansion.

Significant investments are being made in data infrastructure across the region, including the development of data centers, advanced networking, and storage solutions. Countries like China, India, and Japan are leading this investment trend, enhancing their data capabilities and supporting the deployment of sophisticated BI and analytics tools. These investments are crucial for handling large volumes of data and driving advanced analytics.

Global Business Intelligence And Analytics Market: Segmentation Analysis

The Global Business Intelligence And Analytics Market is Segmented on the basis of Software, Services, Deployment Model, and Geography.

Business Intelligence And Analytics Market, By Software

On-Premises
Cloud-Based/Hosted

Based on Software, the Global Business Intelligence And Analytics Market is bifurcated into On-Premises and Cloud-Based/Hosted. In the business intelligence and analytics market, Cloud-based/hosted solutions are currently dominating due to their scalability, cost-effectiveness, and ease of access, which make them highly attractive to organizations seeking to leverage real-time data and advanced analytics without the overhead of maintaining on-premises infrastructure. Meanwhile, the on-premises segment is experiencing the fastest growth, driven by enterprises that require stringent data control, security, and compliance measures. As organizations increasingly seek to balance cloud benefits with robust data governance, on-premises solutions are gaining traction to address these specific needs.

Business Intelligence And Analytics Market, By Services

Professional Services
Managed Services

Based on Services, the Global Business Intelligence And Analytics Market is bifurcated into Professional Services, Managed Services. In the business intelligence and analytics market, Professional services currently dominate due to the high demand for specialized consulting, implementation, and training services that help organizations effectively deploy and utilize BI and analytics solutions. However, Managed services are rapidly growing, driven by the increasing need for outsourced support, maintenance, and management of BI systems. Organizations are increasingly opting for managed services to ensure continuous operation, cost efficiency, and access to expertise without the need for in-house resources, fueling the segment's rapid expansion.

Business Intelligence And Analytics Market, By Deployment Model

On-Premises
Cloud

Based on Deployment Model, the Global Business Intelligence And Analytics Market is bifurcated into On-Premises and Cloud. In the business intelligence and analytics market, Cloud deployment is currently the dominant segment, favored for its flexibility, scalability, and cost-effectiveness, which allows organizations to access advanced analytics tools and handle large volumes of data without investing in extensive on-premises infrastructure. Conversely, the on-premises deployment model is the fastest-growing segment, as enterprises with stringent data security and compliance requirements increasingly adopt on-premises solutions to maintain greater control over their sensitive data and systems. This trend reflects a growing need for secure, customized analytics environments tailored to specific organizational needs.

Business Intelligence And Analytics Market, By Geography

North America
Europe
Asia Pacific
Rest of the World

Based on Geography, the Global Business Intelligence And Analytics Market is classified into North America, Europe, Asia Pacific, and the Rest of the World. In the business intelligence and analytics market, North America is the dominant region, driven by its advanced technological infrastructure, high adoption rates of analytics solutions, and the presence of leading technology providers. Conversely, Asia Pacific is the fastest-growing region, fueled by rapid digital transformation, increasing investments in technology, and a growing emphasis on data-driven decision-making across various industries. The region's expanding economy and increasing cloud adoption contribute to its significant and accelerating growth in the market.

Key Players

The "Global Business Intelligence And Analytics Market" study report will provide valuable insight with an emphasis on the global market. The major players in the market are
Microsoft, Tableau (Salesforce), IBM, Qlik, SAP, Looker (Google), Infor, GoodData, Tibco Software, Information Builders.

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 And Analytics Market Key Developments

In March 2023, Microsoft launched a new version of Power BI with enhanced AI capabilities. The update includes advanced machine learning models and natural language processing features, enabling users to generate insights and predictions more intuitively from their data.
In May 2023, Tableau introduced a major upgrade to its analytics platform, featuring improved data visualization tools and expanded integration options. The new features are designed to streamline data analysis and enhance collaboration across teams.
In July 2023, IBM announced the release of IBM Watson Studio 2.0, a comprehensive business analytics solution that integrates with its cloud platform. This version offers advanced analytics, automated data preparation, and augmented intelligence capabilities to support data-driven decision-making.
In October 2023, SAS unveiled a new suite of business intelligence tools aimed at improving real-time data analytics. The suite includes advanced visualization capabilities and automated reporting features to help organizations gain actionable insights faster.