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市场调查报告书
商品编码
1624503
2024 年至 2031 年自助式 BI 市场(按地区)Self-Service BI Market by Type, Business Function, Application, Deployment Model, End-User Industry & Region for 2024-2031 |
由于对使用者友善分析工具的需求,自助式 BI(商业智慧)产业正在快速成长,这些工具允许非技术人员自行存取和分析资料。 Tableau、Microsoft Power BI 和 Qlik 等主要参与者提供使用者友善的介面、拖放功能和强大的资料视觉化工具。因此,预计 2024 年市场规模将超过 97.1 亿美元,2031 年将达到约 306.2 亿美元。
这一市场成长是由各种规模的企业对敏捷决策的需求推动的,使用者无需过度依赖 IT 即可建立报告、仪表板和见解。基于云端的解决方案提高了可存取性和可扩展性。虽然北美在采用方面处于领先地位,但全球趋势表明,自助式 BI 解决方案正越来越多地被跨行业整合,以增强数据驱动的决策能力。对自助式 BI 的需求不断增长将推动市场在 2024 年至 2031 年期间的复合年增长率达到 15.44%。
自助式 BI 市场定义/概述
自助式 BI(商业智慧)使用户无需 IT 部门的协助即可建立报表、仪表板和分析。非技术用户可以存取和评估来自各种来源的数据,从而加速业务决策和洞察发现。
自助式 BI 允许非技术人员使用简单的工具和介面独立存取和分析资料。减少对 IT 进行报告开发的依赖,并允许使用者根据自己的特定需求创建自己的视觉化效果和见解,从而加快决策速度、提高整体敏捷性和提高效率。
自助式 BI 将继续发展,使非技术使用者能够自行评估资料。未来趋势包括透过人工智慧提高洞察力、与云端系统的无缝整合以及更强的行动可存取性。随着企业寻求提高决策敏捷性并使数据可用性民主化,预计各行业的采用率将会成长。
透过自助服务 BI 技术增强企业用户的能力预计将显着推动市场成长。这些解决方案使资料存取和分析民主化,使多个部门的使用者能够独立提取见解并做出更明智的决策。摆脱传统的 BI 方法将提高敏捷性并加快决策流程。
一项研究表明,到 2024 年,预计 80% 的企业将转向自助服务分析,这表明行业正在向用户驱动的数据赋能迈进。研究表明,使用自助式 BI 的公司决策过程加快了 42%。这种加速源于对 IT 进行资料查询和报告的依赖减少,使他们能够更快地回应市场变化和业务问题。最后,随着企业优先考虑速度和灵活性,自助式 BI 解决方案的需求预计将稳定成长,从而推动创新和竞争优势。
资料隐私法和不完整的资料可能会阻碍自助式 BI 业务的发展。遵守 GDPR 和 CCPA 等严格的资料保护标准需要仔细的资料管理和使用者隐私,这可能会妨碍自助式 BI 的采用。
此外,资料不一致可能导致分析不准确和决策不当,从而破坏对商业智慧工具的信任。解决这些问题需要强大的资料治理系统,包括资料品质控制和资料解释的使用者培训。为了支援自助式 BI 产业的长期成功,组织必须赋予使用者权力,同时在不断变化的监管环境和资料复杂性问题下确保资料品质和合规性。
The Self-Service Business Intelligence (BI) industry is quickly developing owing to the demand for user-friendly analytics tools that allow non-technical individuals to access and analyze data on their own. Key companies including as Tableau, Microsoft Power BI and Qlik provide user-friendly interfaces, drag-and-drop capability and powerful data visualization tools. This is likely to enable the market size surpass USD 9.71 Billion valued in 2024 to reach a valuation of around USD 30.62 Billion by 2031.
This market expansion is driven by the requirement for agile decision-making in enterprises of all sizes, which enables users to create reports, dashboards and insights without relying heavily on IT departments. Cloud-based solutions improve accessibility and scalability. North America leads in adoption, but global trends demonstrate that self-service BI solutions are increasingly being integrated across industries to enhance data-driven decision-making. The rising demand for Self Service BI is enabling the market grow at aCAGR of 15.44% from 2024 to 2031.
Self Service BI Market: Definition/ Overview
Self-Service Business Intelligence (BI) enables users to create reports, dashboards, and analytics without requiring IT assistance. It enables non-technical individuals to access and evaluate data from a variety of sources, resulting in speedier decision-making and insight discovery within businesses.
Self-Service BI enables non-technical individuals to access and analyze data independently using simple tools and interfaces. It fosters speedier decision-making by lowering dependency on IT for report development and allowing users to create unique visualizations and insights tailored to their specific needs, hence increasing overall agility and efficiency.
Self-Service BI is primed for continuous expansion, allowing non-technical users to evaluate data independently. Future trends include improved AI insights, seamless integration with cloud systems, and greater mobile accessibility. Adoption is expected to grow across industries as people seek greater decision-making agility and democratized data availability.
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The growing empowering of corporate users via self-service BI technologies is expected to greatly promote market growth. These solutions democratize data access and analysis, allowing users from many departments to independently extract insights and make educated decisions. This shift away from traditional BI methodologies improves agility and speeds up decision-making processes.
According to a survey, by 2024, 80% of firms are expected to switch to self-service analytics, indicating a significant industry trend toward user-driven data empowerment. According to studies, firms who use self-service BI have a 42% faster decision-making process. This acceleration is attributable to less reliance on IT for data queries and reporting, which allows for faster reactions to market changes and operational issues. Finally, as firms value speed and agility, the desire self-service BI solutions are expected to grow robustly, driving innovation and competitive advantage.
Data privacy laws and data inadequacies may impede the expansion of the self-service BI business. Compliance with severe data protection standards, such as GDPR or CCPA, necessitates careful data management and user privacy, which might hinder self-service BI installations.
Furthermore, data inconsistencies might result in inaccurate analysis and poor decision-making, weakening faith in business intelligence tools. Addressing these difficulties necessitates strong data governance systems, which include data quality control and user training on data interpretation. To support long-term success in the self-service BI industry, organizations must strike a balance between empowering users and guaranteeing data quality and compliance in the face of changing regulatory landscapes and data complexity concerns.
The vital demand for real-time insights into client behavior is propelling the sales and marketing management segment in the self-service BI market. Businesses are increasingly relying on timely data to accurately assess client preferences, predict purchasing patterns, and personalize marketing campaigns. Self-service BI technologies enable marketing teams to easily access and analyze consumer data, allowing them to adapt to market developments, optimize campaigns in real time and increase overall customer engagement.
This capacity not only improves decision-making agility, but it also increases marketing ROI by delivering the appropriate message to the right audience at the right time. As competition heats up and consumer expectations shift, the need for self-service BI systems that provide dynamic insights into client behavior continues to rise is driving innovation and competitiveness in the sales and marketing domain, enabling it hold a dominant position.
Increasing robust data analytics to improve patient care is projected to fuel rapid growth of the nutraceutical market. Nutraceutical companies focus on examining health data using advanced analytics to better understand consumer preferences supplement usage trends and product efficacy. This data-driven strategy enables tailored dietary recommendations, focused marketing techniques and the development of new products that meet consumer health demands.
Analytics can also optimize supply chain management, increase regulatory compliance, and promote innovation in formulation and delivery techniques. As consumer health awareness and aging populations drive high demand for individualized healthcare solutions, nutraceutical companies that integrate powerful data analytics are likely to gain a competitive advantage in effectively satisfying changing market expectations.
Increasing investments in sophisticated analytics and business intelligence (BI) technology are likely to fuel significant growth in the North American self-service BI market. North America, which is already a market leader in BI adoption, benefits from a strong ecosystem of IT businesses, robust infrastructure and an innovative culture. These criteria enable the rapid deployment and integration of complex BI tools, allowing firms to derive relevant insights from large datasets. As enterprises across industries prioritize data-driven decision-making, the need for self-service BI solutions grows.
Investments in AI, machine learning and cloud computing improve the capabilities of BI platforms by providing scalability, real-time analytics, and predictive insights. This trend not only increases operational efficiency but also helps strategic goals in sales, marketing, and customer service and overall business agility, reinforcing North America's position as a leading market in the global BI landscape.
Expanding digital transformation activities are expected to drive significant growth in the self-service BI industry in Asia Pacific. As Asia Pacific countries embrace digitalization in industries like as banking, telecommunications, and retail, there is an increasing demand for advanced analytics and business intelligence solutions to manage the massive amounts of data generated. Companies are using self-service business intelligence tools to get actionable insights, manage operations, and improve customer experiences.
Furthermore, the region's increasing embrace of cloud computing and mobile technologies increases the deployment and accessibility of business intelligence solutions. Governments and businesses are both investing in infrastructure and talent development to support digital efforts, creating a favorable climate for the growth of the self-service BI industry. This trend positions Asia-Pacific as a region exhibiting rapid growth owing to the innovation, scalability, and the transformative potential of data-driven decision-making.
The self-service BI market is a dynamic and competitive space, characterized by a diverse range of players vying for market share. These players are on the run for solidifying their presence through the adoption of strategic plans such as collaborations, mergers, acquisitions, and political support. The organizations are focusing on innovating their product line to serve the vast population in diverse regions.
Some of the prominent players operating in the self-service BI market include:
Cisco Systems, Inc.
HCL Technologies Limited
Hewlett Packard Enterprise Company
International Business Machines Corporation
Microsoft Corporation
MicroStrategy Incorporated
Oracle Corporation
QlikTech International AB
SAP SE
SAS Institute, Inc.
Tableau Software LLC (Salesforce.com Inc.)
TIBCO Software, Inc.
UiPath, Inc.
In October 2023, MicroStrategy announced MicroStrategy Al, which allows enterprises to integrate refined AI experiences into their Bl apps and products using trusted data. This solution simplifies and accelerates data analysis and interaction by seamlessly incorporating generative algorithms into Bl applications insights to boost enterprise-wide innovation.
In September 2023, Collibra purchased Busprey, an integrated SQL data notebook platform, to improve its Data Intelligence Cloud and BI solutions. Husprey's platform enables data and business analysts to generate SQL notebooks for collaborative insights, providing context and meaning to data throughout the firm.
In August 2023, Smollan and Pyramid Analytics teamed to improve data-driven solutions. Smollan now sells and implements Pyramid Analytics software through its DatOrbis Business. The cooperation sought to provide clients with greater services.