セルフサービスBI市場：地域別、2024年～2031年

セルフサービスBI市場の評価、2024年～2031年

セルフサービスBI（ビジネスインテリジェンス）業界は、技術者でなくても自分でデータにアクセスして分析できるユーザーフレンドリーな分析ツールの需要により急速に発展しています。Tableau、Microsoft Power BI、Qlikなどの主要企業は、ユーザーフレンドリーなインターフェース、ドラッグ＆ドロップ機能、強力なデータ可視化ツールを提供しています。これにより、市場規模は2024年に97億1,000万米ドルを突破し、2031年には約306億2,000万米ドルに達する見込みです。

この市場拡大の背景には、あらゆる規模の企業で俊敏な意思決定が求められていることがあり、ユーザーはIT部門に大きく依存することなく、レポート、ダッシュボード、洞察を作成することができます。クラウドベースのソリューションは、アクセシビリティとスケーラビリティを向上させる。北米が導入でリードしているが、世界の動向は、データ主導の意思決定を強化するために、セルフサービスBIソリューションが業界全体でますます統合されていることを示しています。セルフサービスBIに対する需要の高まりにより、市場は2024年から2031年にかけてCAGR15.44％で成長します。

セルフサービスBI市場定義/概要

セルフサービスBI（ビジネスインテリジェンス）は、ITの支援を必要とせずに、ユーザーがレポート、ダッシュボード、分析を作成することを可能にします。技術者でなくてもさまざまなソースからデータにアクセスして評価できるため、企業内の意思決定や洞察の発見が迅速に行えるようになります。

セルフサービスBIは、技術者でない個人でも、シンプルなツールやインターフェースを使用して、単独でデータにアクセスし、分析することを可能にします。レポート開発におけるITへの依存度を下げ、ユーザーが特定のニーズに合わせた独自のビジュアライゼーションやインサイトを作成できるようにすることで、より迅速な意思決定を促進し、全体的な俊敏性と効率性を高めます。

セルフサービスBIは、非技術系ユーザーが独自にデータを評価できるようにすることで、継続的な拡大が見込まれています。今後の動向としては、AIによる洞察力の向上、クラウドシステムとのシームレスな統合、モバイルからのアクセス性の向上などが挙げられます。意思決定の俊敏性を高め、データの利用可能性を民主化することが求められる中、業界を問わず導入が進むと予想されます。

ビジネスユーザーのエンパワーメントの増加はセルフサービスBI市場の成長を促進するか？

セルフサービスBIテクノロジーによる企業ユーザーのエンパワーメントの高まりは、市場の成長を大きく促進すると予想されます。これらのソリューションは、データアクセスと分析を民主化し、多くの部門のユーザーが独立して洞察を抽出し、賢明な意思決定を行うことを可能にします。従来のBI手法からの移行により、俊敏性が向上し、意思決定プロセスがスピードアップします。

ある調査によると、2024年までに企業の80%がセルフサービス・アナリティクスに切り替えると予想されており、ユーザー主導のデータ権限委譲に向けた業界の大きな動向を示しています。調査によると、セルフサービスBIを使用している企業は、意思決定プロセスを42%高速化しています。この加速は、データクエリやレポーティングにおけるITへの依存度が低いため、市場の変化や業務上の問題に迅速に対応できることに起因します。最後に、企業がスピードと俊敏性を重視する中、セルフサービスBIソリューションへの要望は堅調に伸び、イノベーションと競合優位性を促進すると予想されます。

データ保護法とデータの不正確さはセルフサービスBI市場を阻害するか？

データプライバシー法やデータの不備は、セルフサービスBIビジネスの拡大を阻害する可能性があります。GDPRやCCPAなどの厳しいデータ保護基準への準拠には、慎重なデータ管理とユーザープライバシーが必要であり、セルフサービスBIの導入の妨げになる可能性があります。

さらに、データの不整合は、不正確な分析や不十分な意思決定をもたらし、ビジネスインテリジェンスツールに対する信頼を弱める可能性があります。このような問題に対処するためには、データの品質管理やデータの解釈に関するユーザートレーニングを含む、強力なデータガバナンスシステムが必要です。セルフサービスBI業界における長期的な成功をサポートするために、組織は、ユーザーに権限を与えることと、規制状況の変化やデータの複雑性の懸念に直面する中でデータ品質とコンプライアンスを保証することの間でバランスを取る必要があります。

目次

第1章 イントロダクション

• 市場の定義
• 市場セグメンテーション
• 調査手法

第2章 エグゼクティブサマリー

• 主な調査結果
• 市場概要
• 市場ハイライト

第3章 市場概要

• 市場規模と成長の可能性
• 市場動向
• 市場促進要因
• 市場抑制要因
• 市場機会
• ポーターのファイブフォース分析

第4章 セルフサービスBI市場：業界別

• 金融サービス
• ヘルスケア
• 小売・eコマース

第5章 セルフサービスBI市場：機能別

• データ準備ツール
• データ可視化ツール
• セルフサービス分析ツール

第6章 セルフサービスBI市場：展開形態別

• クラウドベースのセルフサービスBI
• オンプレミスのセルフサービスBI

第7章 地域別分析

• 北米
• 米国
• カナダ
• メキシコ
• 欧州
• 英国
• ドイツ
• フランス
• イタリア
• アジア太平洋
• 中国
• 日本
• インド
• オーストラリア
• ラテンアメリカ
• ブラジル
• アルゼンチン
• チリ
• 中東・アフリカ
• 南アフリカ
• サウジアラビア
• アラブ首長国連邦

第8章 市場力学

• 市場促進要因
• 市場抑制要因
• 市場機会
• COVID-19の市場への影響

第9章 競合情勢

• 主要企業
• 市場シェア分析

第10章 企業プロファイル

• Microsoft Power BI
• Tableau
• Qlik
• SAP BusinessObjects
• IBM Cognos Analytics
• Domo
• Looker
• Sisense
• Yellowfin BI
• MicroStrategy

第11章 市場の展望と機会

• 新興技術
• 今後の市場動向
• 投資機会

第12章 付録

• 略語リスト
• 出典と参考文献

Self-Service BI Market Valuation - 2024-2031

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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Will Increasing Empowerment of Business Users Boost the Self-Service BI Market Growth?

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.

Will Data Protection Law and Inaccuracy in Data Hamper the Self-Service BI Market?

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.

Category-Wise Acumens

Will Critical Need for Real-Time Insights into Customer Behavior Drive the Sales and Marketing Management Segment?

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.

Will Increasing Need for Robust Data Analytics to Enhance Patient Care Drive the Nutraceutical Segment?

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.

Country/Region-wise Acumens

Will Increasing Investments in Advanced Analytics and Business Intelligence Technologies Drive the Market in North America?

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.

Will Expanding Digital Transformation Initiatives Drive the Market in Asia Pacific Region?

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.

Competitive Landscape

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.

Latest Developments

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.

TABLE OF CONTENTS

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. Self-Service BI Market, By Industry Vertical

• Financial Services
• Healthcare
• Retail and E-commerce

5 Self-Service BI Market, By Functionality

• Data Preparation Tools
• Data Visualization Tools
• Self-Service Analytics Tools

6 Self-Service BI Market, By Deployment Mode

• Cloud-based Self-Service BI
• On-premises Self-Service BI

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 Power BI
• Tableau
• Qlik
• SAP BusinessObjects
• IBM Cognos Analytics
• Domo
• Looker
• Sisense
• Yellowfin BI
• MicroStrategy

11. Market Outlook and Opportunities

• Emerging Technologies
• Future Market Trends
• Investment Opportunities

12. Appendix

• List of Abbreviations
• Sources and References