ビジネスインテリジェンスおよびアナリティクスの世界市場規模：ソフトウェア別、サービス別、展開モデル別、地域別、範囲および予測

ビジネスインテリジェンスおよびアナリティクスの市場規模と予測

ビジネスインテリジェンスおよびアナリティクスの市場規模は、2024年に340億4,000万米ドルと評価され、2024年から2031年にかけて8.45%のCAGRで成長し、2031年には651億4,000万米ドルに達すると予測されます。ビジネスインテリジェンス（BI）とアナリティクスは、意思決定をサポートするビジネスデータの収集、分析、提示に使用されるプロセス、技術、ツールを包括します。BIは、実用的な洞察を提供するために過去と現在のデータを収集することに重点を置き、アナリティクスは、動向、パターン、将来の結果を特定するための統計分析や予測モデリングなどの高度な技術を含みます。BIとアナリティクスを組み合わせることで、組織は情報に基づいたデータ主導の意思決定を行い、全体的なビジネスパフォーマンスを向上させることができます。

BIとアナリティクスは、業務効率、戦略立案、競争優位性を高めるために、さまざまな領域で応用されています。小売業では、BIツールによって販売データを分析し、在庫管理やマーケティング戦略を最適化することができます。

金融では、アナリティクスによって市場動向を予測し、リスクを管理することができます。BIとアナリティクスの応用範囲は、顧客洞察、業務効率、財務パフォーマンスにまで及び、戦略的な事業運営に不可欠なものとなっています。

世界のビジネスインテリジェンスおよびアナリティクス市場力学

世界のビジネスインテリジェンスおよびアナリティクス市場を形成している主な市場力学

主な市場促進要因

データ量と複雑性の増加：

様々なソースからのデータの急激な増加により、複雑なデータセットから価値ある洞察を効果的に管理、処理、抽出するBIおよび分析ソリューションの需要が高まっています。米国労働統計局によると、データサイエンティストの雇用は2021年から2031年にかけて36%増加すると予測されており、これは全職種の平均をはるかに上回るペースで、複雑なデータ管理の重要性が増していることを示しています。

データ主導の意思決定の必要性：

組織は、包括的なデータ分析に基づいて情報に基づいた意思決定を行うためにBIとアナリティクスを採用する傾向が強まっており、これにより戦略立案と業務効率が向上しています。米国中小企業庁が2023年に発表したレポートによると、データ分析を利用している中小企業は、利用していない中小企業に比べて収益性が高い可能性が23%高いことがわかりました。

テクノロジーの進歩：

AI、機械学習、ビッグデータ技術の革新により、BIとアナリティクスツールの機能が強化され、より高度なデータ分析とリアルタイムの洞察が可能になっています。全米科学財団は2023年後半、データ分析におけるAIと機械学習の研究に対する連邦政府の資金援助が前年比で45％増加したと報告しました。

競合からの圧力：

企業はBIとアナリティクスを活用して市場動向を把握し、顧客行動を理解し、パフォーマンスを最適化することで競争優位に立ち、導入の増加につながります。米国国勢調査局による2023年の調査では、高度なアナリティクス・ツールを使用している企業は、そのようなツールを使用していない企業に比べて平均2.5倍の収益成長を報告しています。

規制コンプライアンス要件：

規制やコンプライアンスに対する要求が高まっているため、正確なレポート、データの整合性、業界標準の遵守を保証する堅牢なBIおよびアナリティクス・ソリューションが必要とされています。米国証券取引委員会（SEC）は2023年、コンプライアンス監視のために高度なアナリティクスを使用している企業は、規制上の罰金や罰則に直面する可能性が30％低くなったと報告しています。

主な課題

高い導入コスト：

ソフトウェア、ハードウェア、トレーニングなど、BIとアナリティクスツールに必要な初期投資はかなりの額になる可能性があり、小規模組織での導入が制限される可能性があります。

データのプライバシーとセキュリティに関する懸念：

機密データを確実に保護し、プライバシー規制へのコンプライアンスを維持することは困難であり、BIおよびアナリティクスソリューションの導入と利用を妨げるリスクをもたらす可能性があります。

統合の複雑さ：

BI・分析ツールを既存のシステムやデータソースと統合するのは複雑で時間がかかる場合があり、多くの場合、大幅なカスタマイズと技術的な専門知識が必要になります。

スキルの不足：

BIおよびアナリティクスツールを効果的に管理・活用できる熟練した専門家が不足しているため、これらのテクノロジーの可能性を十分に活用することが困難になっています。

データ品質の問題：

不正確なデータや不完全なデータは、BIおよびアナリティクスソリューションの有効性を損ない、信頼性の低い洞察や意思決定につながるため、組織がこれらのツールに投資することを躊躇させる可能性があります。

主要動向

AIと機械学習の統合：

高度な予測分析、データ処理の自動化、複雑なデータセットからの深い洞察の生成を実現し、意思決定能力を高めるために、AIと機械学習がBIとアナリティクスのプラットフォームに統合されるケースが増えています。米国立標準技術研究所（NIST）の2023年の報告書によると、AIを強化したアナリティクス・ソリューションを導入した組織は、従来のBIツールと比較して予測精度が40％向上したと報告されています。

セルフサービスBIツールの採用：

組織全体のユーザーが独立してデータにアクセスし分析できるようにすることで、IT部門への依存を減らし、データ主導の文化を醸成するセルフサービスBIツールの動向が高まっています。米国労働統計局による2023年の調査では、セルフサービスBIツールを広く導入している企業では、データ分析タスクに関連する従業員の生産性が25％向上したと報告されています。

リアルタイム分析への注目の高まり：

ダイナミックなビジネス環境における即時の洞察と迅速な意思決定の必要性により、リアルタイムのデータ処理と分析に対する需要が高まっており、より俊敏で応答性の高いBIソリューションの開発が求められています。米国エネルギー省が2023年後半に発表した次世代データ分析に関する報告書では、リアルタイム分析により、より効率的な負荷分散を通じて、スマートグリッドシステムのエネルギー消費を最大15%削減できる可能性があることが強調されています。

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 ビジネスインテリジェンスおよびアナリティクス市場：ソフトウェア別

• オンプレミス
• クラウドベース/ホスティング

第5章 ビジネスインテリジェンスおよびアナリティクス市場：サービス別

• プロフェッショナルサービス
• マネージドサービス

第6章 ビジネスインテリジェンスおよびアナリティクス市場：展開モデル別

• オンプレミス
• クラウド

第7章 地域分析

• 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
• 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

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

Business Intelligence And Analytics Market Size And Forecast

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.

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. 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