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市場調查報告書
商品編碼
1831989

嵌入式分析市場規模、佔有率、趨勢和預測（按解決方案、分析工具、部署模式、業務功能、組織規模、行業垂直和地區），2025 年至 2033 年

Embedded Analytics Market Size, Share, Trends and Forecast by Solution, Analytics Tool, Deployment Mode, Business Function, Organization Size, Industry Vertical, and Region, 2025-2033
出版日期: | 出版商: IMARC | 英文 135 Pages | 商品交期: 2-3個工作天內

價格

2024 年全球嵌入式分析市場規模為 696 億美元。展望未來， IMARC Group估計到 2033 年市場規模將達到 1,827.2 億美元，2025 年至 2033 年的複合年成長率為 12.82%。北美目前佔據市場主導地位，2024 年的市佔率將超過 32.6%。嵌入式分析市場佔有率正在擴大，這得益於人工智慧 (AI) 和機器學習 (ML) 功能的日益普及、對資料安全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，使最終用戶無需依賴資訊技術 (IT) 團隊即可創建報告和監控資料。

隨著企業尋求更智慧的資料使用方式，對嵌入式分析的需求也日益成長。企業希望從現有軟體中獲取即時洞察，以便更快、更有效率地做出決策。隨著數位轉型的興起，醫療保健、金融和零售等行業依賴嵌入式分析來追蹤績效、發現趨勢並改善營運。此外，人工智慧和機器學習的日益普及也增強了分析能力，使其更具預測性和自動化程度。雲端運算的採用是另一個主要促進因素，它使企業無需繁重的IT基礎架構即可無縫整合分析。隨著用戶對個人化體驗的期望不斷成長，企業開始採用嵌入式分析來提供客製化服務。

美國已成為嵌入式分析市場的主要地區，這得益於許多因素。企業擴大採用數據驅動的決策方式，這推動了嵌入式分析市場的成長。企業希望在現有應用程式中獲得即時洞察，以提高效率並保持競爭力。此外，人工智慧、機器學習和自動化在美國的興起也使分析變得更加智慧，幫助企業預測趨勢並最佳化營運。此外，醫療保健、金融和零售等行業正在採用嵌入式分析來提升客戶體驗、偵測詐欺行為並簡化工作流程。此外，政府支持資料安全和進階分析的措施也促進了嵌入式分析解決方案的使用。 2024年12月，美國司法部 (DOJ) 發布了最終規則，將拜登總統於2024年2月28日發布的行政命令「阻止受關注國家訪問美國人的大量敏感個人資料和美國政府相關資料」（簡稱「EO」）付諸實施。它建立了一個新的國家安全監管框架，旨在保護大量美國敏感個人資訊和政府相關資料不被相關國家取得。

嵌入式分析市場趨勢：

對資料安全和合規性的需求不斷增加

資料安全和合規法規（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，這對於處理敏感資訊的醫療保健和金融等行業尤其重要。這鼓勵人們採用嵌入式分析作為一種安全手段，在不損害完整性的情況下利用資料洞察。此外，嵌入式分析工具通常採用加密技術來保護傳輸和預存程序中的資料。這意味著資料被轉換成不可讀的程式碼，只有使用適當的解密金鑰才能解密，從而確保即使被攔截，資料仍然是安全的。一份產業報告顯示，60% 的全球組織將合規性列為首要任務，金融、政府和醫療保健等產業正在加速利用嵌入式分析來維護資料完整性和合規性。

自助服務分析的吸引力日益增強

自助式分析的日益普及為嵌入式分析市場帶來了良好的前景。自助式分析使最終用戶無需依賴 IT 團隊即可建立報告和分析資料。一份行業報告顯示，到 2025 年，80% 的組織將放棄傳統儀表板，轉而採用自助式分析。嵌入式分析通常包含自助服務功能，使更廣泛的使用者能夠使用。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式分析即時獲得洞察，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，自助式分析工具可讓使用者根據自己的特定需求和偏好自訂報告和儀表板。這種靈活性可確保洞察與個人業務需求相關且量身定做。

人工智慧和機器學習的日益融合

嵌入式分析正在不斷發展，以整合人工智慧和機器學習功能。這使得應用程式能夠自動洞察、異常檢測和預測分析，進一步增強其對尋求利用高級分析技術的行業的吸引力。一份行業報告顯示，到 2026 年，超過 75% 的企業將在業務應用程式中嵌入以人工智慧為導向的分析，以增強決策能力。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。透過在應用程式中灌輸預測分析，使用者可以獲得主動的洞察和建議，從而做出更明智的決策。除此之外，以人工智慧為中心的嵌入式分析可以識別資料中的異常或不規則之處，這可能預示著潛在的問題或機會。此外，人工智慧和機器學習可以快速、全面地監控大量資料集，讓使用者更深入了解複雜情況。

目錄

第1章：前言

第2章：範圍與方法

  • 研究目標
  • 利害關係人
  • 資料來源
    • 主要來源
    • 二手資料
  • 市場評估
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第3章：執行摘要

第4章：簡介

第5章：全球嵌入式分析市場

  • 市場概況
  • 市場表現
  • COVID-19的影響
  • 市場預測

第6章：市場區隔：依解決方案

  • 軟體
  • 服務

第7章：市場區隔：透過分析工具

  • 儀表板和數據視覺化
  • 自助服務工具
  • 基準化分析
  • 報告

第8章：市場區隔：依部署模式

  • 本地
  • 基於雲端

第9章：市場區隔：依業務功能

  • 金融
  • 人力資源（HR）
  • 行銷和銷售
  • 生產
  • 其他

第10章：市場區隔：依組織規模

  • 中小企業
  • 大型企業

第 11 章：市場區隔：依產業垂直分類

  • 金融服務業協會
  • 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

第12章：市場區隔：按地區

  • 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

第 13 章：SWOT 分析

第 14 章：價值鏈分析

第 15 章：波特五力分析

第 16 章：價格分析

第 17 章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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
Product Code: SR112025A4722

The global embedded analytics market size was valued at USD 69.60 Billion in 2024. Looking forward, IMARC Group estimates the market to reach USD 182.72 Billion by 2033, exhibiting a CAGR of 12.82% from 2025-2033. North America currently dominates the market, holding a market share of over 32.6% in 2024. The embedded analytics market share is expanding, driven by 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 enables end-users to create their reports and monitor data without relying on information technology (IT) teams.

As businesses look for smarter ways to use data, the demand for embedded analytics is rising. Companies want real-time insights from their existing software, making decision-making faster and more efficient. With digital transformation on the rise, industries like healthcare, finance, and retail rely on embedded analytics to track performance, detect trends, and improve operations. Besides this, the increasing usage of AI and ML is also enhancing analytics capabilities, making them more predictive and automated. Cloud adoption is another major driver, allowing businesses to integrate analytics seamlessly without heavy IT infrastructure. As user expectations for personalized experiences grow, companies employ embedded analytics to offer tailored services.

The United States has emerged as a major region in the embedded analytics market owing to many factors. The rising adoption of data-driven decision-making by businesses is impelling the embedded analytics market growth. Companies want real-time insights within their existing applications to improve efficiency and stay competitive. Besides this, the rise of AI, ML, and automation in the country is making analytics smarter, helping businesses to predict trends and optimize operations. Additionally, industries like healthcare, finance, and retail are employing embedded analytics to enhance customer experiences, detect fraud, and streamline workflows. Apart from this, government initiatives supporting data security and advanced analytics promote the usage of embedded analytics solutions. In December 2024, the US Department of Justice (DOJ) released the Final Rule that put into effect President Biden's Executive Order from February 28, 2024, titled "Preventing Access to Americans' Bulk Sensitive Personal Data and United States Government-Related Data by Countries of Concern" (the "EO"). It established a new national security regulatory framework aimed at safeguarding large quantities of US sensitive personal information and government-associated data from nations of interest.

Embedded Analytics Market Trends:

Increasing Demand for Data Security and Compliance

Data security and compliance regulations, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), are becoming paramount. Embedded analytics solutions are designed to ensure data privacy and adherence, which is particularly crucial in industries handling sensitive information like healthcare and finance. This is encouraging the adoption of embedded analytics as a secure means to leverage data insights without compromising integrity. In addition, embedded analytics tools 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. According to an industry report, with 60% of global organizations citing compliance as a top priority, industries, such as finance, government, and healthcare, are accelerating the utilization of embedded analytics to maintain data integrity and regulatory adherence.

Rising Traction of Self-Service Analytics

The increasing popularity of self-service analytics is offering a favorable embedded analytics market outlook. Self-service analytics empowers end-users to create their reports and analyze data without relying on IT teams. According to an industrial report, by 2025, 80% of organizations will move away from traditional dashboards in favor of self-service analytics. Embedded analytics often includes self-service features, making it accessible to a broader range of users. This democratization of data analysis is fostering innovations and fueling 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 AI and ML

Embedded analytics is evolving to incorporate AI and 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. According to an industrial report, by 2026, over 75% of enterprises will embed AI-oriented analytics within business applications to enhance decision-making capabilities. AI and ML algorithms can analyze historical data patterns and make predictions about future trends. By inculcating predictive analytics within applications, users can receive proactive insights and recommendations, allowing them to make more informed decisions. Besides this, AI-focused embedded analytics can identify anomalies or irregularities in data, which can be indicative of potential issues or opportunities. Furthermore, AI and ML can monitor vast datasets quickly and comprehensively, providing users with a deeper understanding of complex situations.

Embedded Analytics Industry Segmentation:

Analysis by Solution:

  • Software
  • Services

Services held the biggest market share in 2024. Businesses need expert support to implement, customize, and manage analytics solutions. While software provides the tools, companies often lack the in-house expertise to integrate analytics seamlessly into their existing systems. Service providers help with installation, training, and ongoing support, ensuring businesses get the most out of their analytics investments. As more companies move to cloud-based analytics, the demand for consulting and managed services is rising. Customization is another key factor. Every business has unique data needs and service providers aid tailor analytics in fitting with specific goals. Additionally, industries like healthcare and finance require compliance and security support, making professional services essential. With rapid advancements in AI and ML, businesses also rely on service providers to keep their analytics systems up to date. Since data-driven decision-making is critical for growth, companies continue to invest in services to maximize the value of their embedded analytics solutions.

Analysis by Analytics Tool:

  • Dashboard and Data Visualization
  • Self-service Tools
  • Benchmarking
  • Reporting

Dashboard and data visualization accounted for the largest market share. Businesses need clear and real-time insights to make quick decisions. Raw data can be overwhelming, so visual dashboards help by presenting complex information in easy-to-understand charts, graphs, and interactive reports. These tools allow users to spot trends, track key metrics, and monitor performance without needing deep technical skills. Industries like healthcare, finance, and retail rely on dashboards for real-time monitoring, fraud detection, and customer insights. As businesses focus on improving user experience, customizable and intuitive visualizations make analytics more accessible for employees at all levels. The rise of AI-oriented dashboards also adds predictive capabilities, helping companies to formulate data-driven decisions faster. Cloud-oriented platforms further enhance accessibility, allowing teams to view analytics on any device. With organizations prioritizing real-time data visualization to stay competitive, dashboards remain the most in-demand analytics tool in the market.

Analysis by Deployment Mode:

  • On-premises
  • Cloud-based

Cloud-based offers flexibility, scalability, and cost savings for businesses of all sizes. Unlike on-premises solutions that require expensive hardware and maintenance, cloud-based analytics can be accessed from anywhere with minimal setup. This makes it easier for companies to integrate analytics into their existing applications without heavy IT investments. As businesses generate more data, cloud solutions allow them to scale storage and processing power as needed. Security and compliance improvements also make cloud analytics more reliable, especially for industries like healthcare and finance. Another key advantage is automatic updates. Cloud providers continuously enhance features, ensuring businesses always have the latest tools. With remote work and digital transformation on the rise, organizations prefer cloud-based embedded analytics for real-time insights and collaboration. As a result, more companies are moving away from traditional systems and embracing the cloud to stay competitive in a data-driven market.

Analysis by Business Function:

  • Finance
  • Human Resources (HR)
  • Marketing and Sales
  • Production
  • Others

Marketing and sales dominate the overall market. Businesses depend on data-driven strategies to attract customers and boost revenue. With embedded analytics, companies can track user behavior, measure campaign performance, and optimize sales strategies in real time. Sales teams use these insights to identify high-value leads, predict customer needs, and personalize outreach, leading to higher conversion rates. Marketers benefit from detailed dashboards that show which ads, emails, or social media campaigns are working best. AI-oriented analytics also assist in forecasting trends and automating decision-making, making marketing efforts more efficient. As competition grows, businesses need faster insights to stay ahead, and embedded analytics makes that possible without relying on separate reporting tools. Cloud-based analytics further enhances accessibility, allowing teams to access real-time data from anywhere. With customer experience and revenue growth as top priorities, marketing and sales departments continue to drive demand for embedded analytics solutions.

Analysis by Organization Size:

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

Small and Medium-sized Enterprises (SMEs) are rapidly adopting embedded analytics to improve decision-making, streamline operations, and enhance customer experiences. Since they often have limited IT resources, cloud-based embedded analytics solutions are particularly popular, offering cost-effective and scalable options without heavy infrastructure investments. SMEs use analytics to oversee sales, observe customer behavior, and optimize marketing plans. With the growing competition, real-time insights help them to stay agile and make data-driven business decisions.

Large enterprises have vast data volumes and complex operational needs. These organizations use advanced analytics to optimize processes, enhance customer engagement, and improve financial planning. Embedded analytics helps large enterprises to automate decision-making, detect fraud, and personalize services across multiple departments. Many firms invest in AI-focused analytics to gain predictive insights and enhance business strategies. With strong IT infrastructure and higher budgets, large enterprises integrate embedded analytics across cloud, on-premises, and hybrid environments, ensuring seamless access to real-time data for better performance and scalability.

Analysis by Industry Vertical:

  • BFSI
  • IT and Telecommunication
  • Retail and Consumer Goods
  • Healthcare and Life Sciences
  • Manufacturing
  • Government
  • Energy and Utilities
  • Others

BFSI accounted for 24.0% of the market share. It heavily relies on real-time data to manage risks, detect fraud, and improve user experiences. Financial institutions use embedded analytics to track transactions, analyze spending patterns, and prevent suspicious activities. Banks leverage analytics for personalized banking, offering customers tailored loan options, investment suggestions, and credit card recommendations. Insurance companies employ it to assess risks, streamline claims processing, and enhance user interactions. With increasing digital payments and mobile banking, financial firms need instant insights to stay competitive. Regulatory compliance is another key driver. Embedded analytics helps institutions to monitor and report financial activities accurately. AI-enabled analytics also assist in predicting market trends and optimizing financial strategies. As the BFSI sector continues to embrace digital transformation, the demand for embedded analytics grows, ensuring better decision-making, security, and operational efficiency across the industry.

Regional Analysis:

  • 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, accounting for 32.6%, enjoys the leading position in the market. It has a strong presence of major industries like retail and IT, which rely heavily on data-driven decision-making. Businesses in these sectors employ embedded analytics to improve efficiency, personalize user experiences, and gain a competitive edge. Besides this, government agencies come up with programs to increase the adoption rate of AI, ML, and cloud technologies, which enhance analytics capabilities. In March 2024, the Biden administration's budget proposal for FY2025 allocated USD 3 Billion to agencies to ethically create, evaluate, acquire, and incorporate revolutionary AI solutions throughout the federal government. The budget spent USD 850 Billion for defense, with an increase of USD 34 billion compared to 2023's approved figures. Discretionary funding outside of defense totaled USD 770 Billion. Apart from this, strict regulatory requirements in industries like healthcare and finance make real-time data monitoring essential, further driving the demand. Additionally, North America is home to leading tech companies that continuously develop and improve embedded analytics solutions.

Key Regional Takeaways:

United States Embedded Analytics Market Analysis

The United States holds 88.60% of the market share in North America. The US market is growing as a result of the rising use of data-driven decision-making and AI-based insights. An industrial report revealed that the US spent around USD 146 Billion on business intelligence and analytics software in 2023, of which embedded analytics is playing a significant part in enterprise functions. Major industries, such as finance and retail, are incorporating analytics into workflows for increased reliability and real-time decision-making. The growth in edge analytics and cloud computing further encourages the employment of embedded analytics. Microsoft, Salesforce, and Tableau, a product of Salesforce, are dominating the market among other leading vendors through solutions crafted for varied business purposes. At the same time, regulatory necessity surrounding data openness and security requirements under HIPAA and GDPR adherence encourage advancements in capabilities on embedded analytics. The US market is extremely competitive, with technology companies developing AI-oriented analytics solutions to stay ahead globally.

Europe Embedded Analytics Market Analysis

The market is experiencing strong growth with digital transformation and regulatory compliance needs. In 2023, 33% of EU businesses conducted data analytics internally or from external sources, as reported by Eurostat. The most impressive adoption rates were seen in Hungary (53%), Croatia (52%), Denmark (50%), and the Netherlands (49%), where regional adoption trends were strong. Germany, France, and the UK are the leaders in demand, with healthcare and financial services being major industries. Germany has been aggressively investing in digital infrastructure and technologies. The nation's "Digital Strategy 2025" targets the provision of gigabit internet access across the country by 2025, which is a major commitment to digital development. The adoption of EU regulations, such as the AI Act and GDPR is driving the demand for explainable and secure analytics solutions. European companies are focusing on AI-oriented insights to streamline processes, with regional innovators like SAP and Sisense leading the charge. Government-sponsored programs in digital infrastructure are fueling the market growth, making Europe a key participant in the expansion.

Asia-Pacific Embedded Analytics Market Analysis

The market is growing at a rapid pace because of rising digital transformation initiatives and data-driven strategies by government agencies. As per official Chinese government data from the National Bureau of Statistics, the core industries of the digital economy added value worth around 12.7555 Trillion Yuan (USD 13.2292 Trillion) in 2023, which represented 9.9% of China's GDP. AI-based solutions and cloud-based analytics from China are leading to acceleration across industries. India is also experiencing healthy demand, with its "Digital India" program promoting data-oriented decision-making in businesses. Regional government agencies are also giving high importance to digital infrastructure, and smart city initiatives and financial sector upgradation are promoting the adoption of embedded analytics. Major technology companies, such as Alibaba Cloud and Infosys, are investing significantly in AI-focused analytics solutions to meet the increasing demand. The rising mobile and internet penetration in the region is also catalyzing the demand for real-time data insights, making Asia Pacific a leading contributor to the market.

Latin America Embedded Analytics Market Analysis

The market is witnessing expansion, as businesses increasingly adopt data-driven decision-making. The Brazilian Information Technology (IT) market was worth USD 45.2 Billion in 2022, as per the International Trade Administration (ITA), which reflected the increasing investments in digital solutions in the region. Brazil, Mexico, and Argentina are leading the adoption of analytics, led by financial services, healthcare, and retail industries. Government investments in digital transformation and cybersecurity are also driving the demand. Cloud analytics platforms are growing, as companies look for scalable and affordable alternatives. TOTVS and Oracle are among the top regional and international companies that are heavily investing in AI-driven analytics software to improve business intelligence. Fintech startups and e-commerce expansion are major drivers, making Latin America an emerging region for embedded analytics solutions.

Middle East and Africa Embedded Analytics Market Analysis

The market is expanding, as businesses and government agencies are making investments in AI-based decision-making and digital transformation. Saudi Arabia plans to create USD 135 Billion of AI revenue by 2030, as per Saudi Vision 2030, indicating the region's focus on advanced data solutions. The UAE and South Africa are also prominent markets. The need for real-time analytics is being created by the financial services, healthcare, and retail industries. Government-sponsored smart city projects and the adoption of AI for public services are further fueling the market growth. SAP and Microsoft are solidifying their position in the region, providing embedded analytics solutions to organizations looking to improve data insights. With advancements in digital infrastructure and companies placing a high emphasis on automation, the region is set to see high growth in the market.

Competitive Landscape:

Key players work on innovating and improving their solutions to meet the high embedded analytics market demand. Tech firms and software providers are integrating AI, ML, and automation to make analytics smarter and more predictive. Cloud-based analytics platforms are making it easier for businesses to adopt embedded solutions without heavy IT investments. Leading companies are also focusing on user-friendly interfaces, helping organizations to implement data-driven decision-making without needing deep technical expertise. Partnerships and acquisitions are common, allowing firms to expand their offerings and reach new industries. With the increasing demand from healthcare, finance, and retail, key players are tailoring their solutions to meet industry-specific requirements. By enhancing security, scalability, and real-time insights, these companies are keeping the market competitive. For instance, in April 2024, Insightsoftware launched Logi AI and Logi SaaS to its Logi Symphony platform, improving embedded analytics through generative AI and a completely managed SaaS offering. Logi AI offered personalized AI-oriented insights, whereas Logi SaaS simplified the deployment process. The update aimed to bolster Logi's standing in embedded BI.

The report provides a comprehensive analysis of the competitive landscape in the embedded analytics market with detailed profiles of all major companies, including:

  • 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

Key Questions Answered in This Report

  • 1.How big is the embedded analytics market?
  • 2.What is the future outlook of embedded analytics market?
  • 3.What are the key factors driving the embedded analytics market?
  • 4.Which region accounts for the largest embedded analytics market share?
  • 5.Which are the leading companies in the global embedded analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Embedded Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Solution

  • 6.1 Software
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Services
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Analytics Tool

  • 7.1 Dashboard and Data Visualization
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Self-service Tools
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast
  • 7.3 Benchmarking
    • 7.3.1 Market Trends
    • 7.3.2 Market Forecast
  • 7.4 Reporting
    • 7.4.1 Market Trends
    • 7.4.2 Market Forecast

8 Market Breakup by Deployment Mode

  • 8.1 On-premises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Cloud-based
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Business Function

  • 9.1 Finance
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Human Resources (HR)
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Marketing and Sales
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Production
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Others
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast

10 Market Breakup by Organization Size

  • 10.1 Small and Medium-sized Enterprises (SMEs)
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Large Enterprises
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast

11 Market Breakup by Industry Vertical

  • 11.1 BFSI
    • 11.1.1 Market Trends
    • 11.1.2 Market Forecast
  • 11.2 IT and Telecommunication
    • 11.2.1 Market Trends
    • 11.2.2 Market Forecast
  • 11.3 Retail and Consumer Goods
    • 11.3.1 Market Trends
    • 11.3.2 Market Forecast
  • 11.4 Healthcare and Life Sciences
    • 11.4.1 Market Trends
    • 11.4.2 Market Forecast
  • 11.5 Manufacturing
    • 11.5.1 Market Trends
    • 11.5.2 Market Forecast
  • 11.6 Government
    • 11.6.1 Market Trends
    • 11.6.2 Market Forecast
  • 11.7 Energy and Utilities
    • 11.7.1 Market Trends
    • 11.7.2 Market Forecast
  • 11.8 Others
    • 11.8.1 Market Trends
    • 11.8.2 Market Forecast

12 Market Breakup by Region

  • 12.1 North America
    • 12.1.1 United States
      • 12.1.1.1 Market Trends
      • 12.1.1.2 Market Forecast
    • 12.1.2 Canada
      • 12.1.2.1 Market Trends
      • 12.1.2.2 Market Forecast
  • 12.2 Asia-Pacific
    • 12.2.1 China
      • 12.2.1.1 Market Trends
      • 12.2.1.2 Market Forecast
    • 12.2.2 Japan
      • 12.2.2.1 Market Trends
      • 12.2.2.2 Market Forecast
    • 12.2.3 India
      • 12.2.3.1 Market Trends
      • 12.2.3.2 Market Forecast
    • 12.2.4 South Korea
      • 12.2.4.1 Market Trends
      • 12.2.4.2 Market Forecast
    • 12.2.5 Australia
      • 12.2.5.1 Market Trends
      • 12.2.5.2 Market Forecast
    • 12.2.6 Indonesia
      • 12.2.6.1 Market Trends
      • 12.2.6.2 Market Forecast
    • 12.2.7 Others
      • 12.2.7.1 Market Trends
      • 12.2.7.2 Market Forecast
  • 12.3 Europe
    • 12.3.1 Germany
      • 12.3.1.1 Market Trends
      • 12.3.1.2 Market Forecast
    • 12.3.2 France
      • 12.3.2.1 Market Trends
      • 12.3.2.2 Market Forecast
    • 12.3.3 United Kingdom
      • 12.3.3.1 Market Trends
      • 12.3.3.2 Market Forecast
    • 12.3.4 Italy
      • 12.3.4.1 Market Trends
      • 12.3.4.2 Market Forecast
    • 12.3.5 Spain
      • 12.3.5.1 Market Trends
      • 12.3.5.2 Market Forecast
    • 12.3.6 Russia
      • 12.3.6.1 Market Trends
      • 12.3.6.2 Market Forecast
    • 12.3.7 Others
      • 12.3.7.1 Market Trends
      • 12.3.7.2 Market Forecast
  • 12.4 Latin America
    • 12.4.1 Brazil
      • 12.4.1.1 Market Trends
      • 12.4.1.2 Market Forecast
    • 12.4.2 Mexico
      • 12.4.2.1 Market Trends
      • 12.4.2.2 Market Forecast
    • 12.4.3 Others
      • 12.4.3.1 Market Trends
      • 12.4.3.2 Market Forecast
  • 12.5 Middle East and Africa
    • 12.5.1 Market Trends
    • 12.5.2 Market Breakup by Country
    • 12.5.3 Market Forecast

13 SWOT Analysis

  • 13.1 Overview
  • 13.2 Strengths
  • 13.3 Weaknesses
  • 13.4 Opportunities
  • 13.5 Threats

14 Value Chain Analysis

15 Porters Five Forces Analysis

  • 15.1 Overview
  • 15.2 Bargaining Power of Buyers
  • 15.3 Bargaining Power of Suppliers
  • 15.4 Degree of Competition
  • 15.5 Threat of New Entrants
  • 15.6 Threat of Substitutes

16 Price Analysis

17 Competitive Landscape

  • 17.1 Market Structure
  • 17.2 Key Players
  • 17.3 Profiles of Key Players
    • 17.3.1 Infor (Koch Industries Inc.)
      • 17.3.1.1 Company Overview
      • 17.3.1.2 Product Portfolio
    • 17.3.2 International Business Machines Corporation
      • 17.3.2.1 Company Overview
      • 17.3.2.2 Product Portfolio
      • 17.3.2.3 Financials
      • 17.3.2.4 SWOT Analysis
    • 17.3.3 Logi Analytics Inc. (Insightsoftware Inc.)
      • 17.3.3.1 Company Overview
      • 17.3.3.2 Product Portfolio
    • 17.3.4 Microsoft Corporation
      • 17.3.4.1 Company Overview
      • 17.3.4.2 Product Portfolio
      • 17.3.4.3 Financials
      • 17.3.4.4 SWOT Analysis
    • 17.3.5 Open Text Corporation
      • 17.3.5.1 Company Overview
      • 17.3.5.2 Product Portfolio
      • 17.3.5.3 Financials
      • 17.3.5.4 SWOT Analysis
    • 17.3.6 Oracle Corporation
      • 17.3.6.1 Company Overview
      • 17.3.6.2 Product Portfolio
      • 17.3.6.3 Financials
      • 17.3.6.4 SWOT Analysis
    • 17.3.7 QlikTech International AB
      • 17.3.7.1 Company Overview
      • 17.3.7.2 Product Portfolio
    • 17.3.8 SAP SE
      • 17.3.8.1 Company Overview
      • 17.3.8.2 Product Portfolio
      • 17.3.8.3 Financials
      • 17.3.8.4 SWOT Analysis
    • 17.3.9 Sisense Inc.
      • 17.3.9.1 Company Overview
      • 17.3.9.2 Product Portfolio
    • 17.3.10 Tableau Software LLC (Salesforce.com Inc)
      • 17.3.10.1 Company Overview
      • 17.3.10.2 Product Portfolio
    • 17.3.11 TIBCO Software Inc.
      • 17.3.11.1 Company Overview
      • 17.3.11.2 Product Portfolio
      • 17.3.11.3 SWOT Analysis
    • 17.3.12 Yellowfin
      • 17.3.12.1 Company Overview
      • 17.3.12.2 Product Portfolio

List of Figures

  • Figure 1: Global: Embedded Analytics Market: Major Drivers and Challenges
  • Figure 2: Global: Embedded Analytics Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: Embedded Analytics Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Embedded Analytics Market: Breakup by Solution (in %), 2024
  • Figure 5: Global: Embedded Analytics Market: Breakup by Analytics Tool (in %), 2024
  • Figure 6: Global: Embedded Analytics Market: Breakup by Deployment Mode (in %), 2024
  • Figure 7: Global: Embedded Analytics Market: Breakup by Business Function (in %), 2024
  • Figure 8: Global: Embedded Analytics Market: Breakup by Organization Size (in %), 2024
  • Figure 9: Global: Embedded Analytics Market: Breakup by Industry Vertical (in %), 2024
  • Figure 10: Global: Embedded Analytics Market: Breakup by Region (in %), 2024
  • Figure 11: Global: Embedded Analytics (Software) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 12: Global: Embedded Analytics (Software) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 13: Global: Embedded Analytics (Services) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 14: Global: Embedded Analytics (Services) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 15: Global: Embedded Analytics (Dashboard and Data Visualization) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 16: Global: Embedded Analytics (Dashboard and Data Visualization) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 17: Global: Embedded Analytics (Self-service Tools) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 18: Global: Embedded Analytics (Self-service Tools) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 19: Global: Embedded Analytics (Benchmarking) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 20: Global: Embedded Analytics (Benchmarking) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 21: Global: Embedded Analytics (Reporting) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 22: Global: Embedded Analytics (Reporting) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 23: Global: Embedded Analytics (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 24: Global: Embedded Analytics (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 25: Global: Embedded Analytics (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 26: Global: Embedded Analytics (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 27: Global: Embedded Analytics (Finance) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 28: Global: Embedded Analytics (Finance) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 29: Global: Embedded Analytics (Human Resources-HR) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 30: Global: Embedded Analytics (Human Resources-HR) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 31: Global: Embedded Analytics (Marketing and Sales) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 32: Global: Embedded Analytics (Marketing and Sales) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 33: Global: Embedded Analytics (Production) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 34: Global: Embedded Analytics (Production) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 35: Global: Embedded Analytics (Other Business Functions) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 36: Global: Embedded Analytics (Other Business Functions) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 37: Global: Embedded Analytics (Small and Medium-sized Enterprises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 38: Global: Embedded Analytics (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 39: Global: Embedded Analytics (Large Enterprises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 40: Global: Embedded Analytics (Large Enterprises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 41: Global: Embedded Analytics (BFSI) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 42: Global: Embedded Analytics (BFSI) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 43: Global: Embedded Analytics (IT and Telecommunication) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 44: Global: Embedded Analytics (IT and Telecommunication) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 45: Global: Embedded Analytics (Retail and Consumer Goods) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 46: Global: Embedded Analytics (Retail and Consumer Goods) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 47: Global: Embedded Analytics (Healthcare and Life Sciences) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 48: Global: Embedded Analytics (Healthcare and Life Sciences) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 49: Global: Embedded Analytics (Manufacturing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 50: Global: Embedded Analytics (Manufacturing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 51: Global: Embedded Analytics (Government) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 52: Global: Embedded Analytics (Government) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 53: Global: Embedded Analytics (Energy and Utilities) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 54: Global: Embedded Analytics (Energy and Utilities) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 55: Global: Embedded Analytics (Other Industry Verticals) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 56: Global: Embedded Analytics (Other Industry Verticals) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 57: North America: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 58: North America: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 59: United States: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 60: United States: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 61: Canada: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 62: Canada: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 63: Asia-Pacific: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 64: Asia-Pacific: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 65: China: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 66: China: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 67: Japan: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 68: Japan: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 69: India: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 70: India: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 71: South Korea: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 72: South Korea: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 73: Australia: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 74: Australia: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 75: Indonesia: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 76: Indonesia: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 77: Others: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 78: Others: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 79: Europe: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 80: Europe: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 81: Germany: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 82: Germany: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 83: France: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 84: France: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 85: United Kingdom: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 86: United Kingdom: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 87: Italy: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 88: Italy: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 89: Spain: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 90: Spain: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 91: Russia: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 92: Russia: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 93: Others: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 94: Others: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 95: Latin America: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 96: Latin America: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 97: Brazil: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 98: Brazil: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 99: Mexico: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 100: Mexico: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 101: Others: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 102: Others: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 103: Middle East and Africa: Embedded Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 104: Middle East and Africa: Embedded Analytics Market: Breakup by Country (in %), 2024
  • Figure 105: Middle East and Africa: Embedded Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 106: Global: Embedded Analytics Industry: SWOT Analysis
  • Figure 107: Global: Embedded Analytics Industry: Value Chain Analysis
  • Figure 108: Global: Embedded Analytics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Embedded Analytics Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Embedded Analytics Market Forecast: Breakup by Solution (in Million USD), 2025-2033
  • Table 3: Global: Embedded Analytics Market Forecast: Breakup by Analytics Tool (in Million USD), 2025-2033
  • Table 4: Global: Embedded Analytics Market Forecast: Breakup by Deployment Mode (in Million USD), 2025-2033
  • Table 5: Global: Embedded Analytics Market Forecast: Breakup by Business Function (in Million USD), 2025-2033
  • Table 6: Global: Embedded Analytics Market Forecast: Breakup by Organization Size (in Million USD), 2025-2033
  • Table 7: Global: Embedded Analytics Market Forecast: Breakup by Industry Vertical (in Million USD), 2025-2033
  • Table 8: Global: Embedded Analytics Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 9: Global: Embedded Analytics Market: Competitive Structure
  • Table 10: Global: Embedded Analytics Market: Key Players