市場調查報告書
商品編碼
1390785
2023-2028 年按解決方案、分析工具、部署模式、業務功能、組織規模、垂直產業和區域分類的嵌入式分析市場報告Embedded Analytics Market Report by Solution, Analytics Tools, Deployment Mode, Business Function, Organization Size, Industry Vertical, and Region 2023-2028 |
2022年全球嵌入式分析市場規模達到546億美元。展望未來, IMARC Group預計到2028年市場規模將達到1,173億美元,2022-2028年複合年成長率(CAGR)為13.59%。人工智慧 (AI) 和機器學習 (ML) 功能的日益融合、對資料安全性和合規性的需求不斷成長,以及自助服務分析的吸引力不斷增強,使最終用戶能夠在不依賴IT 團隊的情況下創建報告和分析資料是推動市場的一些主要因素。
嵌入式分析是指將資料分析和視覺化工具直接整合到軟體應用程式或平台中。這種策略方法使用戶能夠在熟悉的工作環境中無縫存取數據驅動的見解並與之互動。它透過提供即時資料和相關報告來增強決策,使企業能夠快速回應不斷變化的情況。此外,它還透過減少應用程式之間切換的需要來促進用戶參與,從而提高生產力。
目前,醫療保健行業對嵌入式分析的需求不斷成長,因為它可以在電子健康記錄 (EHR) 系統中使用,以幫助臨床醫生有效地存取患者資料,從而推動了市場的成長。此外,隨著企業累積大量資料,對嵌入式分析工具的需求也在成長。複雜的資料需要複雜的分析解決方案,可以在特定應用程式中提供可操作的見解。此外,企業需要即時資料洞察才能快速做出明智的決策。嵌入式分析透過將資料分析直接整合到操作工作流程中來實現這一點。除此之外,公司認知到數據驅動的決策為他們帶來了競爭優勢,從而加強了市場的成長。
對資料安全性和合規性的需求不斷成長
資料安全和合規性法規,例如一般資料保護規範 (GDPR) 和健康保險流通與責任法案 (HIPAA),正變得至關重要。嵌入式分析解決方案旨在確保資料隱私和合規性,這對於處理醫療保健和金融等敏感資訊的行業尤其重要。這一因素推動了嵌入式分析的採用,作為一種在不影響完整性的情況下利用資料洞察的安全手段。此外,嵌入式分析解決方案通常採用加密技術來保護傳輸和預存程序中的資料。這表示資料會轉換為不可讀的程式碼,只能使用適當的解密金鑰進行解密,確保即使被攔截,資料仍然安全。
自助服務分析的吸引力不斷增強
自助分析使最終用戶能夠建立報告並分析資料,而無需依賴 IT 團隊。嵌入式分析通常包括自助服務功能,使其可供更廣泛的用戶使用。資料分析的民主化正在促進創新並推動市場成長。此外,使用者可以透過自助分析即時取得洞察,無需等待 IT 團隊產生報告。這種速度對於做出敏捷決策和快速反應市場變化至關重要。此外,自助分析工具允許使用者根據自己的特定需求和偏好自訂報告和儀表板。這種靈活性可確保見解具有相關性並根據個別業務需求進行客製化。
人工智慧 (AI) 和機器學習 (ML) 的日益融合
嵌入式分析正在不斷發展,以整合人工智慧 (AI) 和機器學習 (ML) 功能。這可以在應用程式中實現自動洞察、異常檢測和預測分析,進一步增強其對尋求利用先進分析技術的行業的吸引力。人工智慧和機器學習演算法可以分析歷史資料模式並預測未來趨勢。透過在應用程式中嵌入預測分析,使用者可以獲得主動的見解和建議,從而做出更明智的決策。除此之外,人工智慧驅動的嵌入式分析可以識別資料中的異常或不規則之處,這可以表明潛在的問題或機會。此外,人工智慧和機器學習可以快速、全面地分析大量資料集,使用戶能夠更深入地了解複雜情況。
IMARC Group提供了每個細分市場的主要趨勢的分析,以及 2023 年至 2028 年全球、區域和國家層面的預測。我們的報告根據解決方案、分析工具、部署模式、業務功能、組織規模和行業垂直對市場進行了分類。
軟體
服務
服務主導市場
該報告根據解決方案提供了詳細的市場細分和分析。這包括軟體和服務。報告稱,服務業佔最大部分。
嵌入式分析服務將資料分析和視覺化功能無縫整合到現有應用程式、平台或工作流程中。這種整合對於企業至關重要,因為它可以最大程度地減少中斷,並允許用戶無需在不同工具或介面之間切換即可獲取見解。這些服務方便用戶使用,並根據目標受眾的特定需求和專業水平量身定做,使非技術用戶能夠輕鬆存取和理解數據驅動的見解。它們提供即時資料存取和分析,這對於尋求在快節奏的業務環境中及時做出決策的組織來說非常寶貴。這種即時能力支援敏捷決策。
儀表板和數據視覺化
自助服務工具
基準化分析
報告
儀表板和資料視覺化佔據市場最大佔有率
報告還提供了基於分析工具的詳細市場區隔和分析。這包括儀表板和資料視覺化、自助服務工具、基準測試和報告。根據該報告,儀表板和資料視覺化佔據了最大的市場佔有率,因為圖表、圖形和地圖等資料的可視化表示使複雜的資訊更容易簡單地理解。這種清晰度對於使用者快速掌握趨勢、模式和見解至關重要。儀表板提供即時或近即時的資料更新。此功能使用戶能夠即時監控關鍵績效指標 (KPI) 和關鍵指標,從而更輕鬆地及時回應變化。
本地
基於雲端
基於雲端的市場佔據最大佔有率
報告還根據部署模式對市場進行了詳細的細分和分析。這包括本地和基於雲端的。報告稱,基於雲端的佔據了最大的市場佔有率。
基於雲端的分析工具可以輕鬆擴展,以適應不斷成長的資料量和用戶需求。這種可擴展性確保組織可以適應不斷變化的需求,而無需進行大量基礎設施投資。這些工具通常以訂閱或即用即付模式運行,無需在硬體和軟體上進行前期資本支出。這種成本結構可以更加節省預算,特別是對於中小型企業而言。基於雲端的解決方案的部署速度比本地解決方案快得多。這種敏捷性使組織能夠開始分析資料並獲得見解,而無需漫長的實施時間。
金融
人力資源(HR)
行銷與銷售
生產
其他
行銷和銷售佔市場最大佔有率
報告還根據業務功能對市場進行了詳細的細分和分析。這包括財務、人力資源 (HR)、行銷和銷售、生產等。報告顯示,行銷和銷售佔據了最大的市場佔有率。
嵌入式分析工具提供對可用於做出明智決策的資料的存取。行銷和銷售專業人員可以分析客戶行為、市場趨勢和績效指標,以指導他們的策略和戰術。它們使團隊能夠根據具體資料做出明智的決策,而不是依賴直覺或過去的實踐。此外,行銷團隊可以使用嵌入式分析來更精確地細分客戶群。這樣可以開展與特定客戶群產生共鳴的個人化行銷活動,從而提高轉換率。
中小企業 (SME)
大型企業
報告還根據組織規模對市場進行了詳細的細分和分析。這包括中小企業(SME)和大型企業。
中小型企業 (SME) 擴大轉向嵌入式分析工具,因為它們使中小企業能夠做出明智的決策。透過分析現有軟體應用程式中的資料,他們可以深入了解客戶偏好、市場趨勢和營運效率。這符合市場研究公司推廣數據驅動策略的目標。透過利用嵌入式分析,中小企業可以發現利基機會,更好地了解競爭對手,並在市場中保持領先地位。
嵌入式分析為大型企業提供現有系統中的即時資料洞察。這為決策者提供了準確、及時的資訊,促進更好的策略選擇,並與市場研究公司對數據驅動策略的重視保持一致。在競爭激烈的市場中,大企業需要保持領先地位。嵌入式分析使他們能夠更深入地了解市場趨勢、客戶行為和營運效率。這有助於發現成長機會並保持競爭優勢,這是市場研究和諮詢服務行業的一個重要方面。
BFSI
資訊科技和電信
零售和消費品
醫療保健和生命科學
製造業
政府
能源和公用事業
其他
BFSI 在市場上表現出明顯的主導地位
該報告還提供了基於 BFSI 的詳細市場細分和分析。這包括 BFSI、IT 和電信、零售和消費品、醫療保健和生命科學、製造、政府、能源和公用事業等。報告稱,BFSI 佔據了最大的市場佔有率,因為嵌入式分析有助於 BFSI 機構更有效地評估和管理風險。透過即時分析大量金融資料,這些工具使銀行和保險公司能夠識別潛在風險並採取主動措施來減輕風險。此外,嵌入式分析可以偵測金融交易中的異常模式和異常情況,有助於及早發現和預防詐騙活動,這對於維護信任和誠信至關重要。
北美洲
美國
加拿大
亞太
中國
日本
印度
韓國
澳洲
印尼
其他
歐洲
德國
法國
英國
義大利
西班牙
俄羅斯
其他
拉丁美洲
巴西
墨西哥
其他
中東和非洲
北美表現出明顯的主導地位,佔據最大的嵌入式分析市場佔有率
市場研究報告還對所有主要區域市場進行了全面分析,其中包括北美(美國和加拿大);亞太地區(中國、日本、印度、韓國、澳洲、印尼等);歐洲(德國、法國、英國、義大利、西班牙、俄羅斯等);拉丁美洲(巴西、墨西哥等);以及中東和非洲。報告稱,北美佔據最大的市場佔有率。
北美擁有發達的技術基礎設施。這包括強大的資料中心、高速網路存取和廣泛的雲端運算採用。這些因素為嵌入式分析解決方案的部署創造了理想的環境。該地區擁有眾多科技中心和創新中心,例如加州的矽谷和麻薩諸塞州的波士頓-劍橋地區。這些生態系統促進創新並推動尖端分析工具的開發。
嵌入式分析市場的主要參與者擴大將人工智慧 (AI) 和機器學習 (ML) 功能整合到他們的解決方案中。這使企業能夠從資料中獲得更深入的見解並做出更準確的預測。他們還推出了基於雲端的嵌入式分析解決方案,該解決方案具有更高的可擴展性、可存取性和即時資料分析能力,使組織能夠更輕鬆地部署和管理分析工具。此外,領先的公司正在開發方便用戶使用的介面,使非技術用戶能夠創建和自訂報告和儀表板,從而減少對 IT 團隊的依賴。此外,主要參與者正在其嵌入式分析解決方案中投資強大的資料治理功能,以確保遵守資料隱私法規並維護資料完整性。
Infor(科氏工業公司)
國際商業機器公司
Logi Analytics Inc.(Insightsoftware Inc.)
微軟公司
開放文字公司
甲骨文公司
QlikTech 國際公司
SAP系統公司
西森公司
Tableau Software LLC(Salesforce.com Inc)
TIBCO 軟體公司
黃鰭鮪魚
(請注意,這只是關鍵參與者的部分列表,報告中提供了完整列表。)
2022 年 7 月,TIBCO 軟體宣布對 TIBCO 雲端整合進行重大增強,這是 TIBCO 雲端提供的業界認可的 iPaaS 產品,擴大了跨混合環境整合應用程式、資料和裝置的潛力,幫助客戶在動蕩的環境中加速業務發展成果。
2022 年 10 月,Oracle 宣佈在其全面的資料和分析解決方案組合中推出一系列新產品創新,以幫助客戶做出更快、更好的決策。
2021 年 4 月,國際商業機器公司宣布了其儲存產品組合的重大創新,旨在改善日益複雜的混合雲環境中的資料存取和管理,以提高資料可用性和彈性。
The global embedded analytics market size reached US$ 54.6 Billion in 2022. Looking forward, IMARC Group expects the market to reach US$ 117.3 Billion by 2028, exhibiting a growth rate (CAGR) of 13.59% during 2022-2028. The growing incorporation of artificial intelligence (AI) and machine learning (ML) capabilities, rising demand for data security and compliance, and increasing traction of self-service analytics that empowers end-users to create their reports and analyze data without relying on IT teams are some of the major factors propelling the market.
Embedded analytics refers to the integration of data analysis and visualization tools directly into a software application or platform. This strategic approach empowers users to access and interact with data-driven insights seamlessly within their familiar work environment. It enhances decision-making by providing real-time data and relevant reports, enabling businesses to respond swiftly to changing circumstances. Additionally, it fosters user engagement by reducing the need to switch between applications, thus improving productivity.
At present, the increasing demand for embedded analytics in the healthcare industry, as it can be used within electronic health records (EHR) systems to help clinicians access patient data efficiently is propelling the growth of the market. In addition, as businesses are accumulating vast amounts of data, the need for embedded analytics tools is growing. Complex data requires sophisticated analytics solutions that can provide actionable insights within specific applications. Moreover, businesses require real-time data insights to make informed decisions swiftly. Embedded analytics enables this by integrating data analysis directly into operational workflows. Besides this, companies are recognizing that data-driven decision-making is giving them a competitive edge, which is strengthening the growth of the market.
Increasing demand for data security and compliance
Data security and compliance regulations, such as General Data Protection Regulation (GDPR) and Health Insurance Portability and Accountability Act (HIPAA), are becoming paramount. Embedded analytics solutions are designed to ensure data privacy and compliance, which is particularly crucial in industries handling sensitive information like healthcare and finance. This factor drives the adoption of embedded analytics as a secure means to leverage data insights without compromising integrity. In addition, embedded analytics solutions typically employ encryption techniques to safeguard data during transmission and storage. This means that data is transformed into unreadable code that can only be deciphered with the appropriate decryption keys, ensuring that even if intercepted, the data remains secure.
Rising traction of self-service analytics
Self-service analytics empowers end-users to create their reports and analyze data without relying on IT teams. Embedded analytics often includes self-service features, making it accessible to a broader range of users. This democratization of data analysis is fostering innovation and driving the market growth. Moreover, users can obtain insights in real-time through self-service analytics, eliminating the need to wait for IT teams to generate reports. This speed is critical for making agile decisions and responding quickly to market changes. Moreover, self-service analytics tools allow users to customize reports and dashboards according to their specific needs and preferences. This flexibility ensures that insights are relevant and tailored to individual business requirements.
Growing incorporation of Artificial Intelligence (AI) and Machine Learning (ML)
Embedded analytics is evolving to incorporate artificial intelligence (AI) and machine learning (ML) capabilities. This enables automated insights, anomaly detection, and predictive analytics within applications, further enhancing its appeal across industries seeking to leverage advanced analytics techniques. AI and ML algorithms can analyze historical data patterns and make predictions about future trends. By embedding predictive analytics within applications, users can receive proactive insights and recommendations, enabling them to make more informed decisions. Besides this, AI-powered embedded analytics can identify anomalies or irregularities in data, which can be indicative of potential issues or opportunities. Furthermore, AI and ML can analyze vast datasets quickly and comprehensively, providing users with a deeper understanding of complex situations.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional and country levels from 2023-2028. Our report has categorized the market based on solution, analytics tool, deployment mode, business function, organization size and industry vertical.
Software
Services
Services dominates the market
The report has provided a detailed breakup and analysis of the market based on the solution. This includes software and services. According to the report, services represented the largest segment.
Embedded analytics services seamlessly integrate data analysis and visualization capabilities into existing applications, platforms, or workflows. This integration is critical for businesses as it minimizes disruption and allows users to access insights without switching between different tools or interfaces. These services are user-friendly and tailored to the specific needs and expertise levels of the target audience, enabling non-technical users to access and understand data-driven insights easily. They provide real-time data access and analysis, which is invaluable for organizations seeking to make timely decisions in a fast-paced business environment. This real-time capability supports agile decision-making.
Dashboard and Data Visualization
Self-service Tools
Benchmarking
Reporting
Dashboard and data visualization holds the largest share in the market
A detailed breakup and analysis of the market based on the analytics tool has also been provided in the report. This includes dashboard and data visualization, self-service tools, benchmarking, and reporting. According to the report, dashboard and data visualization accounted for the largest market share as visual representations of data, such as charts, graphs, and maps, make complex information easier to understand briefly. This clarity is essential for users to quickly grasp trends, patterns, and insights. Dashboards provide real-time or near-real-time data updates. This feature enables users to monitor key performance indicators (KPIs) and critical metrics in real-time, making it easier to respond to changes promptly.
On-premises
Cloud-based
Cloud-based holds the biggest share in the market
A detailed breakup and analysis of the market based on the deployment mode have also been provided in the report. This includes on-premises and cloud-based. According to the report, cloud-based accounted for the largest market share.
Cloud-based analytics tools can easily scale to accommodate growing data volumes and user needs. This scalability ensures that organizations can adapt to changing demands without the need for significant infrastructure investments. These tools often operate on a subscription or pay-as-you-go model, eliminating the need for upfront capital expenditures on hardware and software. This cost structure can be more budget-friendly, especially for small and medium-sized businesses. Cloud-based solutions can be deployed much faster than on-premises counterparts. This agility enables organizations to start analyzing data and gaining insights without lengthy implementation timelines.
Finance
Human Resources (HR)
Marketing and Sales
Production
Others
Marketing and sales account for the largest share in the market
A detailed breakup and analysis of the market based on the business function have also been provided in the report. This includes finance, human resources (HR), marketing and sales, production, and others. According to the report, marketing and sales accounted for the largest market share.
Embedded analytics tools provide access to data that can be used to make informed decisions. Marketing and sales professionals can analyze customer behavior, market trends, and performance metrics to guide their strategies and tactics. They empower teams to make informed decisions based on concrete data rather than relying on intuition or past practices. In addition, marketing teams can use embedded analytics to segment their customer base more precisely. This allows for personalized marketing campaigns that resonate with specific customer groups, leading to higher conversion rates.
Small and Medium-sized Enterprises (SMEs)
Large Enterprises
A detailed breakup and analysis of the market based on the organization size have also been provided in the report. This includes small and medium-sized enterprises (SMEs) and large enterprises.
Small and Medium-sized Enterprises (SMEs) are increasingly turning to embedded analytics tools as they empower SMEs to make informed decisions. By analyzing data within their existing software applications, they gain insights into customer preferences, market trends, and operational efficiency. This aligns with the market research company's goal of promoting data-driven strategies. By leveraging embedded analytics, SMEs can identify niche opportunities, understand their competitors better, and stay ahead in the market.
Embedded analytics provide large enterprises with real-time data insights within their existing systems. This empowers decision-makers with accurate and timely information, facilitating better strategic choices and aligning with the market research company's emphasis on data-driven strategies. In highly competitive markets, large enterprises need to stay ahead. Embedded analytics enable them to gain deeper insights into market trends, customer behavior, and operational efficiency. This helps in identifying opportunities for growth and maintaining a competitive edge, a crucial aspect of the market research and consulting services sector.
BFSI
IT and Telecommunication
Retail and Consumer Goods
Healthcare and Life Sciences
Manufacturing
Government
Energy and Utilities
Others
BFSI exhibits a clear dominance in the market
A detailed breakup and analysis of the market based on the BFSI have also been provided in the report. This includes BFSI, IT and telecommunication, retail and consumer goods, healthcare and life sciences, manufacturing, government, energy and utilities, and others. According to the report, BFSI accounted for the largest market share as embedded analytics help BFSI institutions assess and manage risks more effectively. By analyzing vast amounts of financial data in real-time, these tools enable banks and insurance companies to identify potential risks and take proactive measures to mitigate them. In addition, embedded analytics can detect unusual patterns and anomalies in financial transactions, aiding in the early detection and prevention of fraudulent activities, which is essential for maintaining trust and integrity.
North America
United States
Canada
Asia-Pacific
China
Japan
India
South Korea
Australia
Indonesia
Others
Europe
Germany
France
United Kingdom
Italy
Spain
Russia
Others
Latin America
Brazil
Mexico
Others
Middle East and Africa
North America exhibits a clear dominance, accounting for the largest embedded analytics market share
The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.
North America boasts a well-developed technological infrastructure. This includes robust data centers, high-speed internet access, and widespread cloud computing adoption. These factors create an ideal environment for the deployment of embedded analytics solutions. The region is home to numerous tech hubs and innovation centers, such as Silicon Valley in California and the Boston-Cambridge area in Massachusetts. These ecosystems foster innovation and drive the development of cutting-edge analytics tools.
Key players in the embedded analytics market are increasingly integrating artificial intelligence (AI) and machine learning (ML) capabilities into their solutions. This empowers businesses to gain deeper insights from data and make more accurate predictions. They are also introducing cloud-based embedded analytics solutions, which allow for greater scalability, accessibility, and real-time data analysis, making it easier for organizations to deploy and manage analytics tools. In addition, leading companies are developing user-friendly interfaces that empower non-technical users to create and customize reports and dashboards, reducing the reliance on IT teams. Furthermore, key players are investing in robust data governance features within their embedded analytics solutions to ensure compliance with data privacy regulations and maintain data integrity.
Infor (Koch Industries Inc.)
International Business Machines Corporation
Logi Analytics Inc. (Insightsoftware Inc.)
Microsoft Corporation
Open Text Corporation
Oracle Corporation
QlikTech International AB
SAP SE
Sisense Inc.
Tableau Software LLC (Salesforce.com Inc)
TIBCO Software Inc.
Yellowfin
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)
In July 2022, TIBCO software announced significant enhancements to TIBCO cloud integration, its industry-recognized iPaaS offering by TIBCO cloud, which expands the potential for integration of applications, data, and devices across hybrid environments, assisting customers grappling in a volatile to accelerate business outcomes.
In Oct 2022, Oracle announced a series of new product innovations across its comprehensive portfolio of data and analytics solutions to help customers make faster, better decisions.
In April 2021, International Business Machines Corporation announced major innovations across its storage portfolio designed to improve the access to, and management of, data across increasingly complex hybrid cloud environments for greater data availability and resilience.