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市場調査レポート
商品コード
1689996
組込み型アナリティクス市場規模、シェア、成長分析:コンポーネント別、ビジネス機能別、展開モデル別、組織規模別、エンドユーザー別、地域別 - 産業予測 2025~2032年Embedded Analytics Market Size, Share, and Growth Analysis, By Component, By Business Function, By Deployment Model, By Organization Size, By End User, By Region - Industry Forecast 2025-2032 |
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組込み型アナリティクス市場規模、シェア、成長分析:コンポーネント別、ビジネス機能別、展開モデル別、組織規模別、エンドユーザー別、地域別 - 産業予測 2025~2032年 |
出版日: 2025年03月24日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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組込み型アナリティクス市場規模は2023年に611億米ドルとなり、予測期間(2025-2032年)のCAGRは14.2%で、2024年の697億8,000万米ドルから2032年には2,018億5,000万米ドルに成長する見通しです。
2023年10月現在、世界の組込み型アナリティクス市場は、さまざまな業界におけるデータ主導の洞察に対する需要の高まりに後押しされ、堅調な成長を遂げています。この革新的なアプローチでは、ビジネスアプリケーションにアナリティクスが直接統合されるため、ユーザーはワークフロー内で簡単にデータを分析できます。組織の意思決定プロセスに対する監視の目が厳しくなり、業務効率に対する要求も高まっていることから、組込み型アナリティクスソリューションの必要性が世界的に高まっています。しかし、データセキュリティやプライバシーへの懸念といった課題は依然として残っています。このようなハードルにもかかわらず、テクノロジーの進化が新機能や合併の可能性をもたらし、組込み型アナリティクスはデータを効果的に活用しようとする企業にとって重要なコンポーネントとして位置づけられているため、市場はさらなる拡大が見込まれています。
Embedded Analytics Market size was valued at USD 61.1 billion in 2023 and is poised to grow from USD 69.78 billion in 2024 to USD 201.85 billion by 2032, growing at a CAGR of 14.2% during the forecast period (2025-2032).
As of October 2023, the global embedded analytics market has experienced robust growth, fueled by a rising demand for data-driven insights across various industries. This innovative approach integrates analytics directly within business applications, allowing users to effortlessly analyze data within their workflows. Increased scrutiny on institutional decision-making processes, coupled with a higher demand for operational efficiency, underscores the necessity for embedded analytics solutions worldwide. However, challenges such as data security and privacy concerns persist. Despite these hurdles, the market is poised for further expansion as evolving technologies bring forth new features and potential mergers, positioning embedded analytics as a critical component for businesses seeking to leverage data effectively.
Top-down and bottom-up approaches were used to estimate and validate the size of the Embedded Analytics market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Embedded Analytics Market Segments Analysis
Global Embedded Analytics Market is segmented by Component, Business Function, Deployment Model, Organization Size, End User and region. Based on Component, the market is segmented intosoftwareand Services. Based on Business Function, the market is segmented into Information Technology, Marketing and Sales, Finance, Production, Human Resources and Others. Based on Deployment Model, the market is segmented into On-Premises and On-Demand. Based on Organization Size, the market is segmented into Small and Medium-Sized Enterprises and Large Enterprise. Based on End User, the market is segmented into Banking, Financial Services, and Insurance, Healthcare and Life Sciences, Manufacturing, Retail and Consumer Goods, Energy and Utilities, Telecommunications and IT, Transportation and Logistics, Government and Defense, Media and Entertainment and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & Africa.
Driver of the Embedded Analytics Market
A key factor propelling the global embedded analytics market is the increasing need for data-driven decision-making across various industries. Companies are recognizing the importance of deriving valuable insights from their data to guide their business strategies effectively. Embedded analytics offers a smooth integration of analytical tools within existing business applications, enabling users to analyze and visualize data without needing to switch between different platforms. This seamless integration not only provides real-time insights but also fosters a culture of informed decision-making, which in turn enhances productivity and drives overall business growth. As organizations leverage these capabilities, the demand for embedded analytics continues to rise.
Restraints in the Embedded Analytics Market
The Embedded Analytics market encounters several restraints as demand continues to rise, primarily due to the intricate integration and implementation hurdles organizations must navigate. Successfully embedding analytics into current applications necessitates meticulous planning and execution, which can be hampered by issues such as data silos, convergence challenges, and a lack of specialized skills. Additionally, there can be pushback from end users who struggle to adapt new analytics functionalities within established business processes. Addressing these integration obstacles is crucial for promoting the widespread acceptance of analytics solutions, as effective installation and user adoption are key to leveraging their full potential.
Market Trends of the Embedded Analytics Market
The embedded analytics market is witnessing a significant trend driven by the integration of artificial intelligence (AI) and machine learning (ML), propelling organizations toward deeper data insights and enhanced decision-making processes. As businesses increasingly rely on data to inform strategies, the demand for sophisticated analytics tools is rising. AI and ML capabilities enhance predictive analytics, enabling organizations to automate and personalize insights, thereby streamlining operations and improving outcomes. This shift underscores a broader movement within the industry, as companies strive to harness advanced analytics for competitive advantage, marking a pivotal evolution in how data is utilized to influence business success.