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商品編碼
1544843

嵌入式分析工具市場 - 全球產業規模、佔有率、趨勢、機會和預測，按部署模式、整合能力、功能、垂直行業、地區和競爭細分，2019-2029F

Embedded Analytics Tools Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Deployment Mode, By Integration Capability, By Functionality, By Industry Vertical, By Region and Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2023年全球嵌入式分析工具市場估值為585.8億美元，預計2029年將達到1,241.7億美元，預測期內複合年成長率為13.17%。

市場概況
預測期 2025-2029
2023 年市場規模 585.8億美元
2029 年市場規模 1241.7億美元
2024-2029 年複合年成長率 13.17%
成長最快的細分市場 無縫整合
最大的市場 北美洲

在對即時資料洞察和業務應用程式中分析整合的需求不斷成長的推動下，全球嵌入式分析工具市場正在大幅成長。嵌入式分析使組織能夠將分析功能直接合併到軟體應用程式中，從而允許使用者在不離開主要工作環境的情況下與資料互動、產生報告並做出資料驅動的決策。這種無縫整合提供了顯著的優勢，例如改進的決策、提高的營運效率以及更個人化的使用者體驗。巨量資料的激增，加上跨產業商業智慧 (BI) 的重要性日益增加，進一步推動了嵌入式分析工具的採用。

促進市場成長的主要因素之一是組織越來越需要從其營運資料中獲得更深入的見解。傳統的分析解決方案通常需要使用者在不同平台之間切換，這可能既耗時又低效。嵌入式分析透過在使用者已經熟悉的應用程式中提供直覺的儀表板、報告和視覺化來克服這項挑戰。這導致了零售、醫療保健、IT、金融服務和製造等行業的廣泛採用，在這些行業中，快速獲取可行的見解對於保持競爭力至關重要。

人工智慧 (AI) 和機器學習 (ML) 等技術進步在嵌入式分析的發展中也發揮了至關重要的作用。現代嵌入式分析工具配備了先進的預測性和規範性分析功能，使組織能夠預測未來趨勢、優​​化流程並推動創新。此外，隨著越來越多的組織授權其非技術用戶獨立存取和分析資料，自助服務分析的成長趨勢正在增強。這種轉變正在促進方便用戶使用的嵌入式分析解決方案的開發，這些解決方案需要最少的 IT 參與。

主要市場促進因素

對數據驅動決策的需求不斷增加

商業智慧和巨量資料分析的激增

自助服務分析的採用率不斷上升

人工智慧和機器學習等先進技術的整合

主要市場挑戰

整合複雜性

資料隱私和安全問題

實施和營運成本高

缺乏熟練的勞動力

可擴展性問題

主要市場趨勢

嵌入式分析工具中更多採用人工智慧和機器學習整合

自助服務分析的成長和為非技術用戶提供支持

嵌入式分析在各產業的擴展

嵌入式分析中資料治理和合規性的重要性與日俱增

細分市場洞察

部署模式見解

區域洞察

目錄

第 1 章：產品概述

第 2 章：研究方法

第 3 章：執行摘要

第 4 章：客戶之聲

第 5 章：全球嵌入式分析工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 依部署模式（本地、基於雲端、混合）
    • 按整合能力（無縫整合、有限整合）
    • 按功能（基本分析、進階分析、自助分析）
    • 按行業垂直（BFSI、醫療保健、製造、零售、電信、其他）
    • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
  • 按公司分類 (2023)
  • 市場地圖

第 6 章：北美嵌入式分析工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署模式
    • 按整合能力
    • 按功能分類
    • 按行業分類
    • 按國家/地區
  • 北美：國家分析
    • 美國
    • 加拿大
    • 墨西哥

第 7 章：歐洲嵌入式分析工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署模式
    • 按整合能力
    • 按功能分類
    • 按行業分類
    • 按國家/地區
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

第 8 章：亞太地區嵌入式分析工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署模式
    • 按整合能力
    • 按功能分類
    • 按行業分類
    • 按國家/地區
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

第 9 章：中東與非洲嵌入式分析工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署模式
    • 按整合能力
    • 按功能分類
    • 按行業分類
    • 按國家/地區
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第 10 章：南美洲嵌入式分析工具市場展望

  • 市場規模及預測
    • 按價值
  • 市佔率及預測
    • 按部署模式
    • 按整合能力
    • 按功能分類
    • 按行業分類
    • 按國家/地區
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第 11 章：市場動態

  • 促進要素
  • 挑戰

第 12 章：市場趨勢與發展

第 13 章：公司簡介

  • Microsoft Corporation
  • Salesforce, Inc.
  • QlikTech International AB
  • Cloud Software Group, Inc.
  • Sisense Ltd.
  • Domo, Inc.
  • MicroStrategy Incorporated
  • SAP SE
  • Zoho Corporation Pvt. Ltd.
  • Oracle Corporation
  • Idera, Inc.
  • Infor Equity Holdings LLC

第 14 章：策略建議

第15章調查會社について,免責事項

簡介目錄
Product Code: 24843

The Global Embedded Analytics Tools Market was valued at USD 58.58 Billion in 2023 and is expected to reach USD 124.17 Billion by 2029 with a CAGR of 13.17% during the forecast period.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 58.58 Billion
Market Size 2029USD 124.17 Billion
CAGR 2024-202913.17%
Fastest Growing SegmentSeamless Integration
Largest MarketNorth America

The global Embedded Analytics Tools market is witnessing substantial growth, driven by the rising demand for real-time data insights and the integration of analytics within business applications. Embedded analytics enables organizations to incorporate analytical capabilities directly into software applications, thereby allowing users to interact with data, generate reports, and make data-driven decisions without leaving their primary work environment. This seamless integration offers significant advantages, such as improved decision-making, enhanced operational efficiency, and a more personalized user experience. The proliferation of big data, coupled with the growing importance of business intelligence (BI) across industries, is further propelling the adoption of embedded analytics tools.

One of the major factors contributing to the market growth is the increasing need for organizations to gain deeper insights from their operational data. Traditional analytics solutions often require users to switch between different platforms, which can be time-consuming and inefficient. Embedded analytics overcomes this challenge by offering intuitive dashboards, reports, and visualizations within the applications that users are already familiar with. This has led to widespread adoption across sectors such as retail, healthcare, IT, financial services, and manufacturing, where quick access to actionable insights is critical for staying competitive.

Technological advancements, such as artificial intelligence (AI) and machine learning (ML), have also played a crucial role in the evolution of embedded analytics. Modern embedded analytics tools are equipped with advanced predictive and prescriptive analytics capabilities, enabling organizations to anticipate future trends, optimize processes, and drive innovation. Additionally, the growing trend of self-service analytics is gaining momentum, as more organizations empower their non-technical users to access and analyze data independently. This shift is fostering the development of user-friendly embedded analytics solutions that require minimal IT involvement.

Key Market Drivers

Increasing Demand for Data-Driven Decision Making

One of the primary drivers of the global Embedded Analytics Tools market is the growing need for data-driven decision-making across organizations. As companies accumulate vast amounts of data from various sources, there is an increasing emphasis on leveraging this data to gain actionable insights. Traditional analytics models often involve multiple platforms and disconnected processes, making it challenging to derive real-time insights. Embedded analytics addresses this gap by integrating analytics capabilities directly into business applications, allowing users to access, analyze, and act on data within the workflow. This seamless integration of analytics into everyday operations leads to quicker and more informed decision-making, helping businesses stay competitive in rapidly changing markets. Moreover, industries like retail, finance, healthcare, and manufacturing are prioritizing data-driven strategies to enhance customer experiences, improve operational efficiency, and drive revenue growth. The rise in demand for real-time data visibility, coupled with the push for more agile and responsive business models, is driving the adoption of embedded analytics solutions globally.

Proliferation of Business Intelligence and Big Data Analytics

The proliferation of business intelligence (BI) and big data analytics is a significant driver in the growth of the embedded analytics tools market. As organizations across the globe embrace digital transformation, there is a growing focus on harnessing data to uncover trends, optimize processes, and gain a competitive edge. Traditional BI platforms often require users to move between different systems to analyze data, which can lead to inefficiencies. Embedded analytics overcomes this by integrating data analysis capabilities directly into applications that employees already use, allowing them to access insights without switching contexts. Additionally, the exponential growth of big data has made it imperative for organizations to find ways to analyze large volumes of structured and unstructured data efficiently. Embedded analytics solutions, enhanced by advancements in AI and machine learning, enable businesses to process vast amounts of data in real-time, providing them with the insights needed to make critical decisions. This shift toward more integrated, real-time BI solutions is driving the adoption of embedded analytics across multiple industries.

Rising Adoption of Self-Service Analytics

The rising adoption of self-service analytics is a key driver in the embedded analytics tools market. Organizations are increasingly focusing on empowering non-technical users, such as business managers and frontline employees, to analyze data and generate reports independently. Self-service analytics tools integrated into everyday applications allow these users to access and explore data without relying heavily on IT departments. This democratization of data analysis not only speeds up decision-making but also enhances the overall productivity of the workforce. Embedded analytics tools cater perfectly to this trend by embedding intuitive dashboards and reporting features directly into business applications like CRM, ERP, and HR systems. These tools offer drag-and-drop interfaces, customizable visualizations, and guided analytics, making it easier for non-experts to derive insights from complex data. As businesses strive to become more data-centric, the demand for embedded self-service analytics solutions is increasing, driving market growth. Furthermore, as the need for agility and responsiveness grows in competitive industries, companies are increasingly adopting embedded analytics to provide real-time insights to all levels of the organization, leading to a surge in demand for self-service solutions.

Integration of Advanced Technologies like AI and Machine Learning

The integration of advanced technologies such as artificial intelligence (AI) and machine learning (ML) is a major market driver for embedded analytics tools. These technologies are transforming how organizations use data by enabling more sophisticated and predictive insights. Embedded analytics platforms that incorporate AI and ML capabilities can automatically detect patterns, predict trends, and provide actionable recommendations, making them highly valuable for businesses seeking to optimize operations. For example, AI-driven embedded analytics can be used in customer service applications to predict customer behavior, personalize experiences, and improve engagement. The ability to embed predictive and prescriptive analytics directly within business applications enhances decision-making processes and allows organizations to stay ahead of market changes. Moreover, as AI and ML become more accessible and cost-effective, companies across industries are integrating these technologies into their analytics strategies. The rise in demand for AI-powered analytics, combined with the convenience of having these capabilities embedded directly within operational software, is driving significant growth in the embedded analytics tools market.

Key Market Challenges

Integration Complexities

One of the major challenges in the global Embedded Analytics Tools market is the complexity associated with integrating analytics capabilities into existing applications. Unlike standalone analytics platforms, embedded analytics require seamless integration within software environments, which involves aligning data structures, ensuring compatibility with existing IT infrastructure, and maintaining data consistency across various systems. Many organizations face difficulties in embedding analytics into their legacy systems due to differences in technology stacks, outdated architectures, and rigid application frameworks. Additionally, the integration process often requires extensive customization, which can increase costs and development timelines. Even after integration, ensuring that the embedded analytics deliver consistent performance across different environments and use cases remains a technical challenge. Companies also need to address issues related to data privacy and security during integration, as accessing data from multiple sources can expose sensitive information if not handled carefully. As a result, the need for specialized skills, time-consuming deployment, and ongoing maintenance efforts make integration a significant barrier for many organizations.

Data Privacy and Security Concerns

Data privacy and security are critical concerns in the global Embedded Analytics Tools market. As embedded analytics tools access, analyze, and display sensitive information directly within business applications, organizations must ensure robust data protection measures are in place. Failure to secure data properly can lead to breaches, unauthorized access, and compliance violations, especially in highly regulated industries like healthcare, finance, and government. Embedded analytics solutions need to comply with global regulations such as GDPR, CCPA, and industry-specific standards. This adds layers of complexity, as the analytics platform must maintain strict access controls, encryption, and data masking while also providing real-time insights. Additionally, with the increasing reliance on cloud-based embedded analytics solutions, companies must address the security risks associated with storing and processing data on third-party servers. Ensuring that data flows securely between applications and analytics layers requires careful planning and continuous monitoring, making it a challenge for organizations to fully leverage embedded analytics while safeguarding their data assets.

High Implementation and Operational Costs

The high costs associated with implementing and operating embedded analytics tools present a significant challenge for organizations, particularly for small and medium-sized enterprises (SMEs). The initial investment required for purchasing and customizing embedded analytics software, integrating it into existing applications, and training employees can be substantial. Moreover, operational costs associated with maintaining the system, updating it regularly, and scaling it as data volumes grow further add to the financial burden. For organizations with limited resources, these costs can be prohibitive. Additionally, ongoing technical support and the need for skilled personnel to manage and optimize the analytics platform increase the total cost of ownership (TCO). While some embedded analytics vendors offer flexible pricing models like subscription-based or pay-per-use, the cumulative expenses still pose a challenge, especially when considering long-term growth and expansion. For many businesses, finding a balance between the need for advanced analytics and managing financial constraints is a delicate challenge.

Lack of Skilled Workforce

The shortage of skilled professionals with expertise in data analytics, integration, and embedded systems poses a significant hurdle in the global Embedded Analytics Tools market. Implementing and managing embedded analytics requires specialized skills in areas such as data engineering, application development, and system integration. However, there is a growing talent gap, as many organizations struggle to find personnel who possess the technical expertise needed to handle these complex tasks. This skill shortage is more pronounced in regions with less mature analytics markets or in industries that have traditionally not relied heavily on data-driven decision-making. Additionally, the rapid pace of technological advancements means that existing employees need continuous upskilling to stay current with the latest tools and methodologies. The lack of skilled resources can lead to delayed deployments, inefficient use of analytics capabilities, and ultimately, missed opportunities. To mitigate this challenge, companies are increasingly investing in training programs, partnerships with analytics providers, and adopting more intuitive, user-friendly embedded analytics solutions.

Scalability Issues

Scalability is another critical challenge in the global Embedded Analytics Tools market. As businesses grow and data volumes expand, the embedded analytics solutions must be capable of handling increased workloads without compromising performance. However, scaling embedded analytics is not always straightforward. The infrastructure supporting the analytics engine, such as data storage, processing power, and network bandwidth, must scale in tandem to ensure consistent performance. Additionally, as more users access the embedded analytics platform, managing concurrent requests and maintaining response times becomes increasingly complex. Many organizations struggle with optimizing the balance between cost and scalability, especially when dealing with fluctuating workloads or seasonal spikes in demand. Moreover, scaling an embedded analytics solution often requires additional resources for monitoring, managing, and fine-tuning the system, further complicating the process. For businesses with global operations, ensuring that the embedded analytics platform can scale across different geographies and support diverse data sources adds another layer of complexity.

Key Market Trends

Increased Adoption of AI and Machine Learning Integration in Embedded Analytics Tools

One of the most prominent trends in the global embedded analytics tools market is the increasing integration of artificial intelligence (AI) and machine learning (ML) capabilities. As businesses seek more advanced insights and automated decision-making, AI and ML have become critical components of embedded analytics solutions. These technologies enable predictive and prescriptive analytics, allowing organizations to forecast trends, identify anomalies, and optimize operations in real-time. AI-driven embedded analytics not only enhances data processing efficiency but also provides more accurate and actionable insights, helping businesses stay competitive. For instance, machine learning algorithms can automatically analyze historical data to predict customer behavior, enabling targeted marketing strategies. Additionally, AI can power natural language processing (NLP) features, allowing users to query data and receive insights in a conversational format. This trend is gaining traction across various sectors, including finance, healthcare, and retail, where quick and intelligent decision-making is crucial. As AI and ML continue to evolve, embedded analytics tools that leverage these technologies are expected to become more sophisticated, offering deeper insights and more tailored solutions.

Growth of Self-Service Analytics and Empowering Non-Technical Users

The demand for self-service analytics is rapidly rising as organizations strive to democratize data access and empower non-technical users to analyze data independently. Traditionally, analytics was confined to data experts and IT professionals, leading to bottlenecks and delays in decision-making. However, modern embedded analytics tools are designed with user-friendly interfaces, intuitive dashboards, and drag-and-drop functionality, enabling even non-technical users to generate insights without needing extensive technical knowledge. This shift towards self-service analytics is especially significant in industries like retail, manufacturing, and healthcare, where frontline employees need quick access to data. By embedding analytics directly into everyday applications, these tools eliminate the need for users to switch between multiple platforms, thereby improving productivity and decision-making. This trend is further fueled by the growing adoption of cloud-based analytics platforms, which provide scalability and flexibility. As more organizations recognize the value of empowering employees with self-service capabilities, the development of embedded analytics solutions tailored to non-technical users is expected to accelerate.

Expansion of Embedded Analytics Across Industry Verticals

The embedded analytics tools market is experiencing notable expansion across a wide range of industry verticals, driven by the increasing need for real-time data insights in diverse business environments. While embedded analytics has traditionally been strong in sectors like finance and IT, it is now making significant inroads into industries such as healthcare, retail, and manufacturing. In healthcare, for example, embedded analytics tools are being used to monitor patient data in real-time, predict treatment outcomes, and optimize operational efficiency. Retailers are leveraging embedded analytics to enhance customer experiences by providing personalized recommendations and optimizing supply chain management. Manufacturing companies are using these tools to improve production processes, reduce downtime, and enhance overall operational efficiency. The versatility and adaptability of embedded analytics solutions make them applicable across different industry sectors, each with unique use cases and requirements. As businesses continue to seek ways to leverage data for competitive advantage, the demand for industry-specific embedded analytics tools is expected to grow, leading to further market expansion and diversification.

Growing Importance of Data Governance and Compliance in Embedded Analytics

As the use of embedded analytics becomes more widespread, data governance and compliance have emerged as critical concerns for organizations. With increasingly stringent regulations like GDPR in Europe and CCPA in the U.S., businesses need to ensure that their embedded analytics solutions are compliant with data privacy and security standards. Data governance involves managing the availability, usability, integrity, and security of data, which is essential when embedding analytics within applications that handle sensitive information. Organizations are now prioritizing solutions that offer robust data governance features, including role-based access controls, data encryption, and audit trails. Additionally, compliance with industry-specific regulations is becoming a key purchasing criterion for embedded analytics tools, particularly in sectors like healthcare, finance, and government, where data handling is highly regulated. This trend is driving the development of embedded analytics tools that not only provide insights but also offer comprehensive data management capabilities. As data privacy regulations continue to evolve, businesses will increasingly seek embedded analytics solutions that align with both global and regional compliance requirements.

Segmental Insights

Deployment Mode Insights

On-premises segment dominates in the Global Embedded Analytics Tools market in 2023. Despite the growing popularity of cloud-based solutions, many organizations continue to prefer on-premises deployments for their analytics tools, particularly in industries where data security, privacy, and regulatory compliance are paramount. On-premises solutions offer businesses full control over their data, ensuring that sensitive information remains within their own IT infrastructure. This is especially crucial for sectors such as finance, healthcare, and government, where stringent data protection laws and industry-specific regulations require robust security measures and limited external access.

Moreover, large enterprises with established IT infrastructure often find on-premises solutions more suitable due to their ability to customize and integrate analytics tools with existing systems. These businesses may have complex operational environments, necessitating a high degree of customization that on-premises solutions can better accommodate. Additionally, companies with significant investments in legacy systems may prefer on-premises deployment as it allows seamless integration and avoids potential disruptions that cloud migration might entail.

Performance and reliability are also key factors driving the dominance of the on-premises segment. Organizations with high data processing demands or those operating in areas with unreliable internet connectivity may opt for on-premises solutions to ensure consistent performance and minimize downtime. The ability to manage large volumes of data locally, without reliance on external networks, provides a significant advantage in terms of speed and data processing efficiency.

The reluctance to transition to cloud solutions due to concerns over data sovereignty and vendor lock-in continues to support the demand for on-premises embedded analytics tools. For businesses operating in regions with strict data residency requirements or those concerned about losing control over their data, on-premises deployment remains the preferred choice. This combination of security, customization, performance, and control has solidified the on-premises segment's dominance in the embedded analytics tools market in 2023.

Regional Insights

North America dominates the Global Embedded Analytics Tools market in 2023. The region is home to some of the world's leading technology companies and advanced IT infrastructure, which have created a strong foundation for the widespread adoption of embedded analytics solutions. Major players like Microsoft, Salesforce, and Oracle, which are headquartered in North America, have been instrumental in driving innovation and offering advanced embedded analytics tools that cater to a broad range of industries. This strong presence of leading vendors and their focus on continuous product enhancements have contributed significantly to the region's leadership in this market.

North America has a highly developed economy with mature industries that heavily rely on data-driven decision-making. Sectors like finance, healthcare, retail, and manufacturing in the U.S. and Canada have long recognized the importance of analytics for optimizing operations, enhancing customer experiences, and gaining competitive advantages. The increasing demand for real-time insights and seamless data integration across these industries has accelerated the adoption of embedded analytics tools.

Another factor supporting North America's dominance is the region's favorable regulatory environment and advanced data privacy frameworks. Businesses in North America are under increasing pressure to comply with stringent regulations like the GDPR and CCPA, which emphasize data security and governance. Embedded analytics tools that offer robust compliance features are in high demand, and North American organizations have been quick to adopt solutions that help them meet these requirements while gaining actionable insights.

The region's strong focus on digital transformation and innovation has led to significant investments in cloud computing, artificial intelligence (AI), and machine learning (ML). These technologies are critical enablers of modern embedded analytics solutions, allowing organizations to derive deeper insights from their data. With high adoption rates of AI and cloud-based platforms in North America, the integration of embedded analytics has become a natural extension for businesses seeking to enhance their analytical capabilities.

Key Market Players

Microsoft Corporation

Salesforce, Inc.

QlikTech International AB

Cloud Software Group, Inc.

Sisense Ltd.

Domo, Inc.

MicroStrategy Incorporated

SAP SE

Zoho Corporation Pvt. Ltd.

Oracle Corporation

Idera, Inc.

Infor Equity Holdings LLC

Report Scope:

In this report, the Global Embedded Analytics Tools Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Embedded Analytics Tools Market, By Deployment Mode:

    On-premises Cloud-based Hybrid

Embedded Analytics Tools Market, By Integration Capability:

    Seamless Integration Limited Integration

Embedded Analytics Tools Market, By Functionality:

    Basic Analytics Advanced Analytic Self-Service Analytics

Embedded Analytics Tools Market, By Industry Vertical:

    BFSI Healthcare Manufacturing Retail Telecommunications Others

Embedded Analytics Tools Market, By Region:

    North America
    • United States
    • Canada
    • Mexico
    Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    South America
    • Brazil
    • Argentina
    • Colombia
    Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Australia
    Middle East & Africa
    • Saudi Arabia
    • UAE
    • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Embedded Analytics Tools Market.

Available Customizations:

Global Embedded Analytics Tools Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Baseline Methodology
  • 2.2. Key Industry Partners
  • 2.3. Major Association and Secondary Sources
  • 2.4. Forecasting Methodology
  • 2.5. Data Triangulation & Validation
  • 2.6. Assumptions and Limitations

3. Executive Summary

4. Voice of Customer

5. Global Embedded Analytics Tools Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Deployment Mode (On-premises, Cloud-based, Hybrid)
    • 5.2.2. By Integration Capability (Seamless Integration, Limited Integration)
    • 5.2.3. By Functionality (Basic Analytics, Advanced Analytic, Self-Service Analytics)
    • 5.2.4. By Industry Vertical (BFSI, Healthcare, Manufacturing, Retail, Telecommunications, Others)
    • 5.2.5. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 5.3. By Company (2023)
  • 5.4. Market Map

6. North America Embedded Analytics Tools Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Deployment Mode
    • 6.2.2. By Integration Capability
    • 6.2.3. By Functionality
    • 6.2.4. By Industry Vertical
    • 6.2.5. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States Embedded Analytics Tools Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Deployment Mode
        • 6.3.1.2.2. By Integration Capability
        • 6.3.1.2.3. By Functionality
        • 6.3.1.2.4. By Industry Vertical
    • 6.3.2. Canada Embedded Analytics Tools Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Deployment Mode
        • 6.3.2.2.2. By Integration Capability
        • 6.3.2.2.3. By Functionality
        • 6.3.2.2.4. By Industry Vertical
    • 6.3.3. Mexico Embedded Analytics Tools Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Deployment Mode
        • 6.3.3.2.2. By Integration Capability
        • 6.3.3.2.3. By Functionality
        • 6.3.3.2.4. By Industry Vertical

7. Europe Embedded Analytics Tools Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Deployment Mode
    • 7.2.2. By Integration Capability
    • 7.2.3. By Functionality
    • 7.2.4. By Industry Vertical
    • 7.2.5. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany Embedded Analytics Tools Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Deployment Mode
        • 7.3.1.2.2. By Integration Capability
        • 7.3.1.2.3. By Functionality
        • 7.3.1.2.4. By Industry Vertical
    • 7.3.2. France Embedded Analytics Tools Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Deployment Mode
        • 7.3.2.2.2. By Integration Capability
        • 7.3.2.2.3. By Functionality
        • 7.3.2.2.4. By Industry Vertical
    • 7.3.3. United Kingdom Embedded Analytics Tools Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Deployment Mode
        • 7.3.3.2.2. By Integration Capability
        • 7.3.3.2.3. By Functionality
        • 7.3.3.2.4. By Industry Vertical
    • 7.3.4. Italy Embedded Analytics Tools Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Deployment Mode
        • 7.3.4.2.2. By Integration Capability
        • 7.3.4.2.3. By Functionality
        • 7.3.4.2.4. By Industry Vertical
    • 7.3.5. Spain Embedded Analytics Tools Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Deployment Mode
        • 7.3.5.2.2. By Integration Capability
        • 7.3.5.2.3. By Functionality
        • 7.3.5.2.4. By Industry Vertical

8. Asia Pacific Embedded Analytics Tools Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Deployment Mode
    • 8.2.2. By Integration Capability
    • 8.2.3. By Functionality
    • 8.2.4. By Industry Vertical
    • 8.2.5. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China Embedded Analytics Tools Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Deployment Mode
        • 8.3.1.2.2. By Integration Capability
        • 8.3.1.2.3. By Functionality
        • 8.3.1.2.4. By Industry Vertical
    • 8.3.2. India Embedded Analytics Tools Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Deployment Mode
        • 8.3.2.2.2. By Integration Capability
        • 8.3.2.2.3. By Functionality
        • 8.3.2.2.4. By Industry Vertical
    • 8.3.3. Japan Embedded Analytics Tools Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Deployment Mode
        • 8.3.3.2.2. By Integration Capability
        • 8.3.3.2.3. By Functionality
        • 8.3.3.2.4. By Industry Vertical
    • 8.3.4. South Korea Embedded Analytics Tools Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Deployment Mode
        • 8.3.4.2.2. By Integration Capability
        • 8.3.4.2.3. By Functionality
        • 8.3.4.2.4. By Industry Vertical
    • 8.3.5. Australia Embedded Analytics Tools Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Deployment Mode
        • 8.3.5.2.2. By Integration Capability
        • 8.3.5.2.3. By Functionality
        • 8.3.5.2.4. By Industry Vertical

9. Middle East & Africa Embedded Analytics Tools Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Deployment Mode
    • 9.2.2. By Integration Capability
    • 9.2.3. By Functionality
    • 9.2.4. By Industry Vertical
    • 9.2.5. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia Embedded Analytics Tools Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Deployment Mode
        • 9.3.1.2.2. By Integration Capability
        • 9.3.1.2.3. By Functionality
        • 9.3.1.2.4. By Industry Vertical
    • 9.3.2. UAE Embedded Analytics Tools Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Deployment Mode
        • 9.3.2.2.2. By Integration Capability
        • 9.3.2.2.3. By Functionality
        • 9.3.2.2.4. By Industry Vertical
    • 9.3.3. South Africa Embedded Analytics Tools Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Deployment Mode
        • 9.3.3.2.2. By Integration Capability
        • 9.3.3.2.3. By Functionality
        • 9.3.3.2.4. By Industry Vertical

10. South America Embedded Analytics Tools Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Deployment Mode
    • 10.2.2. By Integration Capability
    • 10.2.3. By Functionality
    • 10.2.4. By Industry Vertical
    • 10.2.5. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil Embedded Analytics Tools Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Deployment Mode
        • 10.3.1.2.2. By Integration Capability
        • 10.3.1.2.3. By Functionality
        • 10.3.1.2.4. By Industry Vertical
    • 10.3.2. Colombia Embedded Analytics Tools Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Deployment Mode
        • 10.3.2.2.2. By Integration Capability
        • 10.3.2.2.3. By Functionality
        • 10.3.2.2.4. By Industry Vertical
    • 10.3.3. Argentina Embedded Analytics Tools Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Deployment Mode
        • 10.3.3.2.2. By Integration Capability
        • 10.3.3.2.3. By Functionality
        • 10.3.3.2.4. By Industry Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends and Developments

13. Company Profiles

  • 13.1.Microsoft Corporation
    • 13.1.1. Business Overview
    • 13.1.2. Key Revenue and Financials
    • 13.1.3. Recent Developments
    • 13.1.4. Key Personnel
    • 13.1.5. Key Product/Services Offered
  • 13.2.Salesforce, Inc.
    • 13.2.1. Business Overview
    • 13.2.2. Key Revenue and Financials
    • 13.2.3. Recent Developments
    • 13.2.4. Key Personnel
    • 13.2.5. Key Product/Services Offered
  • 13.3.QlikTech International AB
    • 13.3.1. Business Overview
    • 13.3.2. Key Revenue and Financials
    • 13.3.3. Recent Developments
    • 13.3.4. Key Personnel
    • 13.3.5. Key Product/Services Offered
  • 13.4. Cloud Software Group, Inc.
    • 13.4.1. Business Overview
    • 13.4.2. Key Revenue and Financials
    • 13.4.3. Recent Developments
    • 13.4.4. Key Personnel
    • 13.4.5. Key Product/Services Offered
  • 13.5.Sisense Ltd.
    • 13.5.1. Business Overview
    • 13.5.2. Key Revenue and Financials
    • 13.5.3. Recent Developments
    • 13.5.4. Key Personnel
    • 13.5.5. Key Product/Services Offered
  • 13.6.Domo, Inc.
    • 13.6.1. Business Overview
    • 13.6.2. Key Revenue and Financials
    • 13.6.3. Recent Developments
    • 13.6.4. Key Personnel
    • 13.6.5. Key Product/Services Offered
  • 13.7. MicroStrategy Incorporated
    • 13.7.1. Business Overview
    • 13.7.2. Key Revenue and Financials
    • 13.7.3. Recent Developments
    • 13.7.4. Key Personnel
    • 13.7.5. Key Product/Services Offered
  • 13.8.SAP SE
    • 13.8.1. Business Overview
    • 13.8.2. Key Revenue and Financials
    • 13.8.3. Recent Developments
    • 13.8.4. Key Personnel
    • 13.8.5. Key Product/Services Offered
  • 13.9. Zoho Corporation Pvt. Ltd.
    • 13.9.1. Business Overview
    • 13.9.2. Key Revenue and Financials
    • 13.9.3. Recent Developments
    • 13.9.4. Key Personnel
    • 13.9.5. Key Product/Services Offered
  • 13.10. Oracle Corporation
    • 13.10.1. Business Overview
    • 13.10.2. Key Revenue and Financials
    • 13.10.3. Recent Developments
    • 13.10.4. Key Personnel
    • 13.10.5. Key Product/Services Offered
  • 13.11. Idera, Inc.
    • 13.11.1. Business Overview
    • 13.11.2. Key Revenue and Financials
    • 13.11.3. Recent Developments
    • 13.11.4. Key Personnel
    • 13.11.5. Key Product/Services Offered
  • 13.12. Infor Equity Holdings LLC
    • 13.12.1. Business Overview
    • 13.12.2. Key Revenue and Financials
    • 13.12.3. Recent Developments
    • 13.12.4. Key Personnel
    • 13.12.5. Key Product/Services Offered

14. Strategic Recommendations

15. About Us & Disclaimer