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市场调查报告书

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按软体、服务、部署模型、地区、范围和预测划分的全球商业智慧和分析市场规模

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个工作天内

价格

简介目录

商业智慧与分析市场规模及预测

2024 年商业智慧和分析市场规模为 340.4 亿美元，预计 2024 年至 2031 年复合年增长率为 8.45%，预计到 2031 年达到 651.4 亿美元。商业智慧 (BI) 和分析包含用于收集、分析和呈现业务资料以支援决策的流程、技术和工具。 BI 专注于收集过去和目前的数据以提供可行的见解，而分析则使用统计分析和预测建模等先进技术来识别趋势、模式和未来结果（包括技术）。将 BI 与分析结合，使组织能够做出明智的、数据驱动的决策并提高整体业务绩效。

BI 和分析应用于各个领域，以提高营运效率、策略规划和竞争优势。在零售业，BI工具可以分析销售数据以优化库存管理和行销策略。

在金融领域，分析可以预测市场趋势并管理风险。 BI 和分析的应用扩展到客户洞察、营运效率和财务绩效，这使得它们对于策略性业务营运至关重要。

全球商业智慧与分析市场动态

塑造全球商业智慧与分析市场的关键市场动态

主要市场驱动因子

资料量和复杂度不断增加：

各种来源的资料呈指数级增长，推动了对 BI 和分析解决方案的需求，这些解决方案可以有效管理、处理复杂的资料集并从中提取有价值的见解。根据美国劳工统计局的数据，随着复杂数据管理重要性的增加，数据科学家的就业人数预计从 2021 年到 2031 年将增加 36%，远快于所有职业的平均水平。

资料驱动决策的需求：

组织扩大采用 BI 和分析，根据全面的数据分析做出明智的决策，从而提高策略规划和营运效率。美国小型企业管理局 2023 年的一份报告发现，使用数据分析的小型企业比不使用数据分析的小型企业盈利的可能性高 23%。

技术进步：

人工智慧、机器学习和大数据技术的创新正在增强商业智慧和分析工具的功能，从而实现更高级的数据分析和即时洞察。美国国家科学基金会报告称，2023 年底，用于数据分析领域的人工智慧和机器学习研究的联邦资金年增 45%。

竞争压力：

企业使用 BI 和分析来瞭解市场趋势、瞭解客户行为并优化效能，以获得竞争优势并提高采用率。美国人口普查局 2023 年的一项研究发现，使用高级分析工具的公司的收入成长平均是没有此类工具的公司的 2.5 倍。

监理合规要求：

不断增长的监管和合规性要求需要强大的 BI 和分析解决方案，以确保准确的报告、数据完整性以及符合行业标准。 2023 年，美国证券交易委员会 (SEC) 报告称，使用高级分析进行合规监督的公司面临监管罚款和处罚的可能性降低了 30%。

主要挑战

实施成本高：

BI 和分析工具（包括软体、硬体和培训）所需的初始投资可能很大，并且可能会限制小型组织的采用。

资料隐私与安全问题：

确保敏感资料受到保护并保持对隐私法规的遵守可能很困难，并且会带来阻碍 BI 和分析解决方案的采用和使用的风险。

整合复杂度：

将 BI 和分析工具与现有系统和资料来源整合可能非常复杂且耗时，通常需要大量的客製化和技术专业知识。

缺乏技能：

由于缺乏能够有效管理和利用 BI 和分析工具的熟练专业人员，因此很难充分利用这些技术的潜力。

资料品质问题：

不准确或不完整的数据可能会破坏 BI 和分析解决方案的有效性，并促使不可靠的见解和决策，从而阻碍组织投资这些工具。

主要趋势

人工智慧与机器学习的整合：

当人工智慧和机器学习整合到 BI 和分析平台中以实现高级预测分析、自动化数据处理、从复杂数据集中产生深刻见解并提高决策能力时，就会不断增强。美国国家标准与技术研究院 (NIST) 2023 年的一份报告发现，与传统 BI 工具相比，实施 AI 增强分析解决方案的组织的预测准确性提高了 40%。

采用自助式 BI 工具：

自助式 BI 工具的发展趋势日益明显，这些工具使整个组织的使用者能够独立存取和分析数据，从而减少对 IT 的依赖并培育数据驱动的文化。美国劳工统计局 2023 年的一项研究发现，广泛实施自助式 BI 工具的公司报告称，与数据分析任务相关的员工生产力提高了 25%。

越来越重视即时分析：

动态业务环境中对即时洞察和快速决策的需求正在推动对即时资料处理和分析的需求，从而要求开发更敏捷、响应更灵敏的 BI 解决方案。美国能源部 2023 年底发布的下一代数据分析报告强调，即时分析有潜力透过更高效的负载平衡将智慧电网系统的能耗降低高达 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.

1. Introduction

Market Definition
Market Segmentation
Research Methodology

2. Executive Summary

Key Findings
Market Overview
Market Highlights

3. Market Overview

Market Size and Growth Potential
Market Trends
Market Drivers
Market Restraints
Market Opportunities
Porter's Five Forces Analysis

4. Business Intelligence And Analytics Market, By Software

On-Premises
Cloud-Based/Hosted

5. Business Intelligence And Analytics Market, By Services

Professional Services
Managed Services

6. Business Intelligence And Analytics Market, By Deployment Model

On-Premises
Cloud

7. Regional Analysis

North America
United States
Canada
Mexico
Europe
United Kingdom
Germany
France
Italy
Asia-Pacific
China
Japan
India
Australia
Latin America
Brazil
Argentina
Chile
Middle East and Africa
South Africa
Saudi Arabia
UAE

8. Market Dynamics

Market Drivers
Market Restraints
Market Opportunities
Impact of COVID-19 on the Market

9. Competitive Landscape

Key Players
Market Share Analysis

10. Company Profiles

Microsoft
Tableau (Salesforce)
IBM
Qlik
SAP
Oracle
Looker (Google)
Infor
GoodData
Tibco Software
OpenText
Information Builders
Domo
ThoughtSpot
Sisense
Zoho Analytics
Power BI (Microsoft)
Jaspersoft (TIBCO Software)
Yellowfin
MicroStrategy
Pyramid Analytics

11. Market Outlook and Opportunities

Emerging Technologies
Future Market Trends
Investment Opportunities

12. Appendix

List of Abbreviations
Sources and References

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License/价格

按软体、服务、部署模型、地区、范围和预测划分的全球商业智慧和分析市场规模

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

商业智慧与分析市场规模及预测

全球商业智慧与分析市场动态

主要市场驱动因子

目录

第一章简介

第 2 章执行摘要

第三章市场概述

第 4 章商业智慧与分析市场：依软体划分

第 5 章商业智慧与分析市场：按服务

第 6 章商业智慧与分析市场：依部署模型

第七章区域分析

第 8 章市场动态

第九章竞争态势

第十章公司简介

第 11 章市场前景与机会

第12章附录

Business Intelligence And Analytics Market Size And Forecast