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市場調查報告書
商品編碼
2009118

增強型分析市場規模、佔有率、趨勢和預測：按組件、部署模式、企業規模、行業和地區分類，2026-2034 年

Augmented Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Organization Size, Industry Vertical, and Region, 2026-2034
出版日期: | 出版商: IMARC | 英文 149 Pages | 商品交期: 2-3個工作天內

價格

2025年全球增強分析市場規模為186億美元。展望未來，IMARC Group預測，該市場將在2026年至2034年間以18.31%的複合年成長率成長，到2034年達到883億美元。目前，北美市場處於領先地位，預計到2025年將佔據超過42%的市場。這主要得益於北美地區對先進人工智慧的採用、強大的數位基礎設施以及主要行業參與者加速推進增強分析解決方案的發展。

增強型分析市場的主要驅動力之一是各行業對數據驅動決策日益成長的需求。隨著企業產生大量數據，對能夠提供可執行洞察並減少人工干預的高級分析工具的需求也日益成長。例如，亞馬遜和Databricks於2024年簽署了一項為期五年的協議，使用Trainium AI晶片來降低AI開發成本。 AWS是Databricks成長最快的雲端合作夥伴，其客戶帶來的收入超過10億美元。增強型分析利用人工智慧（AI）和機器學習（ML）技術來自動化資料準備、分析和視覺化，從而幫助企業提高效率和準確性。這項技術甚至使非技術用戶也能提取有意義的洞察，從而減少對資料科學家的依賴。隨著企業將即時分析作為獲得競爭優勢的優先事項，增強型分析的採用正在加速，推動市場成長。

作為全球技術創新、研究和企業應用中心，美國在增強型分析市場中扮演著至關重要的角色。 Google、微軟和IBM等領先科技公司不斷改進人工智慧驅動的分析解決方案，以提升商業智慧能力。例如，2025年1月，IBM與歐萊雅合作開發了一款基於GenAI技術的客製化人工智慧模型，旨在幫助歐萊雅全球4000名研究人員改進化妝品配方、最佳化永續性並加速產品創新。美國強大的數位基礎設施、高普及率的雲端運算以及對數據驅動決策日益成長的需求，正在推動市場擴張。此外，包括金融、醫療保健和零售在內的各行各業的美國公司都在採用增強型分析來提高營運效率並獲得競爭考察。政府支持人工智慧和巨量資料的措施也進一步鞏固了美國在該市場的地位。

增強型分析市場的發展趨勢：

機器學習和人工智慧的快速融合

機器學習 (ML) 和人工智慧 (AI) 的應用正在顯著重塑全球增強分析市場。據報道，35% 的公司已在各個部門部署了 AI。 80% 的高階主管認為他們可以在所有業務決策中利用自動化。這些技術促進了預測分析和自動化數據分析，從而改善了決策流程。 ML 和 AI 透過偵測大量資料集中的趨勢和模式，幫助企業更有效地產生可執行的洞察。此外，這一趨勢正在推動從醫療保健到金融等關鍵行業的需求，在這些行業中，即時數據分析對於營運最佳化至關重要。而且，這些技術的持續發展有望進一步加速增強分析解決方案的普及，使其更易於使用，即使是技術水平較低的客戶也能獲得更強大的解決方案。例如，2024 年 3 月，美國信用報告機構 TransUnion 推出了 OneTru，這是一個全新的 AI 驅動的數據分析平台，旨在為金融機構提供 ML 和 AI 工具，以推出其在行銷、詐欺預防和信貸方面的需求。

自助式分析的激增

根據《增強型分析市場報告》，自助式分析是一項重要的市場趨勢，它使不具備技術專長的使用者也能獨立進行數據分析。近期產業研究顯示，受訪企業中利用分析和商業智慧的員工比例成長了87%。這一顯著趨勢正在降低企業對IT部門和資料科學家的依賴，並強化企業內部的決策流程。此外，對於那些尋求建立數據主導環境並實現數據民主化存取的企業而言，提供方便用戶使用且無縫介面的工具正迅速獲得青睞。隨著即時分析和營運效率在各行各業的重要性日益凸顯，對自助式分析系統的需求預計將快速成長，從而加速其在醫療保健、零售和金融等關鍵行業的廣泛應用。例如，2023年9月，電腦科技公司Oracle宣佈在其Oracle Analytics Cloud中推出基於人工智慧的新功能。借助其雲端基礎設施，自助式分析使用者可以更有效地執行進階分析，從而促進自主、全面且快速的業務決策。

對基於雲端的分析解決方案的需求日益成長

根據增強分析市場研究報告，基於雲端的增強分析解決方案的需求正在成長，這主要歸功於其成本效益、多功能性和擴充性。報告預測，2022年全球終端用戶在公共雲端服務的支出將成長20.4%，達到4,947億美元，高於2021年的4,109億美元。雲端平台使企業能夠評估和儲存大量數據，而無需大規模的本地基礎設施。此外，雲端服務還有助於遠端存取資料分析工具，並加強分散式團隊之間的協作。隨著越來越多的公司優先推進數位轉型（DX）計劃，預計雲端分析的使用將進一步擴展，從而加速增強分析能力的創新，並促進與其他雲端服務和應用程式的無縫整合。例如，2024 年 6 月，人工智慧和資料分析服務供應商Qlik 發布了“Qlik Talend Cloud”，這是一個基於雲端的資料平台，帶有生成式人工智慧助手，用於利用和管理非結構化資料。

目錄

第1章：序言

第2章：調查方法

  • 調查目的
  • 相關利益者
  • 數據來源
    • 主要訊息
    • 次要訊息
  • 市場估值
    • 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：引言

第5章：全球增強分析市場

  • 市場概覽
  • 市場表現
  • 新冠疫情的影響
  • 市場預測

第6章 市場區隔：依組件分類

  • 軟體
  • 服務

第7章 市場區隔：依部署模式

  • 現場
  • 基於雲端的

第8章 市場區隔：依組織規模分類

  • 中小企業
  • 大公司

第9章 市場區隔：依產業分類

  • BFSI
  • 零售
  • 醫療保健和生命科學
  • 通訊/IT
  • 製造業
  • 政府
  • 運輸/物流
  • 其他

第10章 市場區隔：依地區分類

  • 北美洲
    • 美國
    • 加拿大
  • 亞太地區
    • 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11章 SWOT 分析

第12章：價值鏈分析

第13章：波特五力分析

第14章：價格分析

第15章 競爭格局

  • 市場結構
  • 主要企業
  • 主要企業簡介
    • Domo, Inc.
    • Microsoft Corporation
    • Orbit Analytics
    • QlikTech International AB
    • Salesforce, Inc
    • SAP SE
    • ThoughtSpot Inc
    • Zoho Corporation Pvt. Ltd
Product Code: SR112026A6011

The global augmented analytics market size was valued at USD 18.6 Billion in 2025. Looking forward, IMARC Group estimates the market to reach USD 88.3 Billion by 2034, exhibiting a CAGR of 18.31% during 2026-2034. North America currently dominates the market, holding a significant market share of over 42% in 2025, driven by advanced AI adoption, strong digital infrastructure, and major industry players accelerating growth in augmented analytics solutions.

One major driver of the augmented analytics market is the increasing demand for data- driven decision-making across industries. As companies produce large quantities of data, there is an increasing demand for sophisticated analytics tools that offer practical insights with reduced manual input. For instance, in 2024, Amazon and Databricks signed a five-year deal to use Trainium AI chips, reducing AI development costs. AWS, Databricks' fastest-growing cloud partner, has generated over USD 1 billion in customer revenue. Augmented analytics leverages artificial intelligence (AI) and machine learning (ML) to automate data preparation, analysis, and visualization, enabling organizations to enhance efficiency and accuracy. This technology empowers non-technical users to extract meaningful insights, reducing reliance on data scientists. As enterprises prioritize real-time analytics for competitive advantage, the adoption of augmented analytics continues to accelerate, driving market growth.

The United States plays a pivotal role in the augmented analytics market by serving as a global hub for technological innovation, research, and enterprise adoption. Leading tech firms, including Google, Microsoft, and IBM, are continuously advancing AI-driven analytics solutions to enhance business intelligence capabilities. For instance, in January 2025, IBM and L'Oreal partnered to develop a custom AI model using GenAI to enhance cosmetic formulation, optimize sustainability, and accelerate product innovation for L'Oreal's 4,000 researchers worldwide. The country's strong digital infrastructure, high adoption of cloud computing, and growing demand for data-driven decision-making drive market expansion. Additionally, U.S. enterprises across various industries, including finance, healthcare, and retail, are integrating augmented analytics to improve operational efficiency and gain competitive insights. Government initiatives supporting AI and big data further strengthen the U.S. position in this market.

AUGMENTED ANALYTICS MARKET TRENDS:

Rapid Integration of Machine Learning and AI

The incorporation of machine learning (ML) and artificial intelligence (AI) is substantially redefining the global augmented analytics market. Reports indicate that 35% of these firms are implementing AI in various departments. Eighty percent of executives believe that automation can be utilized for any business choice. Such technologies facilitate predictive assessment, automation of data analysis, and improve decision-making processes. By detecting trends as well as patterns within huge datasets, ML and AI aid businesses to produce executable insights more effectively. Moreover, this trend is propelling demand across key sectors, from healthcare to finance, where data analysis in real-time is requisite for refining operations. In addition, the constant development of such technologies is anticipated to further fuel the utilization of augmented analytics solutions, establishing them as a more accessible and high-end solution for non-technical customers. For instance, in March 2024, TransUnion, a credit bureau in the U.S., launched OneTru, its new AI-driven data analytics platform, to provide financial institutions ML and AI tools for addressing marketing, fraud, and credit demands.

Surge in Self-Service Analytics

According to the augmented analytics market report, self-service analytics is a magnifying trend in the market, encouraging non-technical consumers to conduct data analysis independently. A recent industry survey found that the percentage of employees utilizing analytics and business intelligence has risen by 87% in the organizations examined. This notable inclination lowers the dependency on both IT departments and data scientists, amplifying decision-making processes within firms. Moreover, tools providing user-friendly, seamless interfaces are rapidly being leveraged by businesses seeking to endorse a data-driven landscape and democratize the access to data. In addition, as more sectors are increasingly prioritizing real-time analysis and operational efficacy, the requirement for self-service analytics systems is anticipated to propel intensely, facilitating the widespread adoption across major industries such as healthcare, retail, and finance. For instance, in September 2023, Oracle, a computer technology company, unveiled new AI-based features within Oracle analytics cloud, leveraging the company's cloud infrastructure to enable self-service analytics users to conduct enhanced analyses more effectively, promoting comprehensive and faster business decisions independently.

Rising Demand for Cloud-Based Analytics Solutions

As per the augmented analytics market research report, the requirement for cloud-based augmented analytics solutions is heightening increasingly primarily due to their cost-effectiveness, versatility, and scalability. As per reports, global end-user expenditure on public cloud services is projected to rise 20.4% in 2022, reaching USD 494.7 Billion, an increase from USD 410.9 Billion in 2021. Cloud-based platforms offer businesses with the capability to evaluate and accumulate huge volumes of data without the requirement for substantial on-premise infrastructure. In addition, cloud-based services facilitate the remote-based access to data analytics tools, reinforcing alliance along disseminated teams. Moreover, as more businesses are prioritizing the digital transformation ventures, the utilization of clou-based analytics is set to amplify, further prompting innovations in augmented analytics abilities and supporting seamless incorporation with other cloud-originated services as well as applications. For instance, in June 2024, Qlik, an AI and data analytics services provider, launched Qlik Talend Cloud, a cloud-based data platform, along with a generative AI assistant, for utilizing and managing unstructured data.

AUGMENTED ANALYTICS INDUSTRY SEGMENTATION:

Analysis by Component:

  • Software
  • Services

Software stands as the largest component in 2025, holding around 80% of the market. As per the augmented analytics market forecast, software is anticipated to sustain its dominance, mainly due to the increased adoption of advanced AI and machine learning tools across industries. With the heightening demand for real-time data analysis and decision-making, augmented analytics software platforms offer users with automated insights and improved data visualization abilities. Moreover, vendors are emphasizing on incorporating user-friendly interfaces and scalable solutions, permitting businesses to process large datasets efficiently. In addition, continuous innovation in software development is expected to play a critical role in boosting the market growth.

Analysis by Deployment Mode:

  • On-premises
  • Cloud-based

Cloud-based leads the market with around 56.7% of market share in 2025. The on-premises deployment mode primarily driven by numerous sectors demanding improved data security and control over their analytics infrastructure. Moreover, organizations, particularly in healthcare and finance healthcare, opt for on-premises solutions to maintain adherence with strict data privacy regulations. In addition, this approach offers greater incorporation and customization with existing systems. Furthermore, the on-premises segment is anticipated to remain prominent as various firms prioritize data sovereignty while balancing innovations in cloud adoption processes, resultantly contributing to a positive augmented analytics market outlook.

Analysis by Organization Size:

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

Large enterprises lead the market with around 76.8% of market share in 2025 . Large enterprises represent a leading segment in the global augmented analytics market, principally driven by their demand for cutting-edge data analysis tools to manage sophisticated operations and huge datasets. Such organizations prioritize the incorporation of augmented analytics solutions to enhance user insights, operational efficacy, and tactical decision-making. In addition, with comprehensive resources for utilizing AI-powered tools, large enterprises are early adopters of upgraded analytics technologies, establishing them as major drivers in innovation as well as market growth.

Analysis by Industry Vertical:

  • BFSI
  • Retail
  • Healthcare and Life Sciences
  • Telecom and IT
  • Manufacturing
  • Government
  • Transportation and Logistics
  • Others

BFSI leads the market in 2025. As per industry report, augmented analytics market in BFSI sector has witnessed a significant growth, increasing from USD 2.06 Billion in 2023 to USD 2.61 Billion in 2024, with a CAGR of 26.6%. Financial institutions increasingly rely on augmented analytics to enhance fraud detection, risk management, and personalized customer services. Moreover, by leveraging AI and machine learning capabilities, the BFSI sector can process large volumes of data in real time, enabling more informed decisions. In addition, the sector's significant investments in data-driven strategies continue to drive its dominant position in the market, contributing to overall growth.

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

In 2025, North America accounted for the largest market share of over 42%. North America has emerged as a dominant region in the global augmented analytics market chiefly due to the robust presence of key market players, extensive utilization of machine learning and AI technologies, and resilient technological infrastructure. The region's key sectors, like retail, finance, or healthcare, are rapidly adopting augmented analytics for enhancing operational efficacy and decision-making processes. Moreover, government schemes endorsing digital transformation, combined with substantial investments in AI research and development, further boost North America's dominance in the global market, spurring constant innovation and growth. As per industry reports, it is projected that in the year 2024, North American companies will increase their investments in generative AI by 67%.

KEY REGIONAL TAKEAWAYS:

UNITED STATES AUGMENTED ANALYTICS MARKET ANALYSIS

US accounts for 82.9% share of the market in North America. The growing adoption of augmented analytics is driven by its increasing deployment in the United States and the widespread adoption of cloud services. Reports indicate that 98% of organizations in the U.S. utilize cloud technology for their business operations. Businesses are recognizing the value of integrating augmented analytics into their operations, as it offers real-time insights and simplifies data analysis through natural language processing and machine learning. The surge in cloud services adoption has provided organizations with scalable, cost-effective platforms to implement augmented analytics tools seamlessly. This integration allows businesses to harness vast amounts of data from multiple sources, enabling enhanced decision-making and operational efficiency. In the United States, industries such as finance, healthcare, and retail are leveraging augmented analytics to stay competitive by predicting trends and understanding customer behavior more effectively. The flexibility offered by cloud-based platforms further accelerates this adoption, as companies can deploy these tools without significant upfront investments. Moreover, the emphasis on data-driven strategies in the u.s. Business environment has fuelled demand for augmented analytics solutions that democratize access to insights across all organizational levels. As cloud technologies continue to evolve, they are expected to support even more advanced features, driving the adoption of augmented analytics further in the U.S. and globally.

ASIA PACIFIC AUGMENTED ANALYTICS MARKET ANALYSIS

The adoption of augmented analytics among SMEs is gaining momentum due to their increasing focus on enhancing productivity and competitiveness. As per the India Brand Equity Foundation, the count of MSMEs in India is expected to increase from 6.3 crore to approximately 7.5 crore at a CAGR of 2.5%. Small businesses are leveraging augmented analytics to make data-driven decisions that optimize operations, customer engagement, and market expansion. SMEs are increasingly exploring advanced tools for efficient resource utilization, sales forecasting, and inventory management. In the manufacturing sector, augmented analytics simplifies supply chain management, monitors production processes, and reduces downtime by predicting equipment maintenance needs. Retailers utilize these solutions to analyze customer preferences, streamline marketing campaigns, and improve inventory replenishment. The affordability and user-friendly nature of augmented analytics platforms enable SMEs to integrate these tools seamlessly into their operations. By democratizing access to advanced analytics, these platforms empower small enterprises to compete effectively in fast-evolving markets, driving significant adoption across industries.

EUROPE AUGMENTED ANALYTICS MARKET ANALYSIS

The BFSI sector is witnessing rapid adoption of augmented analytics as financial institutions seek to improve customer experience, mitigate risks, and enhance decision-making. Reports indicate that in 2021, the EU had 784 foreign bank branches, with 619 originating from other EU Member States and 165 from non-EU countries. By leveraging advanced data analysis, banks and insurers optimize fraud detection, credit scoring, and personalized product recommendations. The integration of augmented analytics into financial services enables real-time monitoring of transactions, ensuring compliance and reducing operational risks. In investment management, these tools enhance portfolio optimization and provide predictive insights into market trends. Insurers utilize augmented analytics to assess risk factors, predict claims, and streamline underwriting processes. The ability of augmented analytics to uncover hidden patterns in vast datasets allows organizations to make proactive decisions that align with customer expectations and regulatory requirements. This capability is particularly valuable for enhancing operational efficiency and delivering innovative financial products tailored to customer needs.

LATIN AMERICA AUGMENTED ANALYTICS MARKET ANALYSIS

The ecommerce sector is driving augmented analytics adoption by integrating advanced tools to analyze customer behaviors, optimize pricing strategies, and personalize shopping experiences. Reports indicate that the Latin America market presently features more than 300 million digital consumers. Retailers are utilizing predictive analytics to anticipate demand, manage inventory, and streamline logistics. Augmented analytics solutions empower businesses to evaluate sales patterns and forecast market trends, ensuring better alignment with consumer preferences. By automating complex data analysis, these tools improve marketing efficiency and enhance customer satisfaction. The focus on leveraging data for targeted campaigns and operational improvements is accelerating the adoption of augmented analytics, providing businesses with a competitive edge in a highly dynamic sector.

MIDDLE EAST AND AFRICA AUGMENTED ANALYTICS MARKET ANALYSIS

Augmented analytics adoption is supported by increasing investments in the telecom and IT sectors, aimed at improving service delivery, network performance, and customer satisfaction. For example, total expenditure on information and communications technology (ICT) in the Middle East, Turkiye, and Africa (META) will exceed USD 238 billion this year, representing a rise of 4.5% compared to 2023. Telecom operators are using augmented analytics to monitor network traffic, predict outages, and optimize resource allocation. IT service providers are integrating these tools to enhance cybersecurity, streamline IT operations, and deliver personalized solutions to clients. By automating data analysis and enabling real-time insights, augmented analytics improves efficiency and supports strategic decision-making. This growing investment in technology-driven advancements is accelerating the adoption of augmented analytics across industries reliant on telecom and IT infrastructure.

Competitive Landscape:

The augmented analytics market is highly competitive, driven by key technology players and emerging startups focusing on AI-powered data analytics. Major companies dominate the market with advanced AI and machine learning-driven analytics solutions. For instance, in 2024, Microsoft introduced adapted AI models tailored to industry needs, developed with partners like Bayer and Siemens. These pre-trained models enhance accuracy and effectiveness, addressing key business use cases across various sectors. These firms continuously innovate to enhance data automation, visualization, and predictive insights, catering to enterprises seeking data-driven decision-making. Additionally, startups and niche players are introducing specialized solutions tailored to industry-specific needs. Strategic partnerships, acquisitions, and investments in research and development are intensifying competition. As demand for real-time analytics grows, companies are focusing on user-friendly, scalable solutions to expand their market presence and drive adoption across industries.

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

  • Domo, Inc.
  • Microsoft Corporation
  • Orbit Analytics
  • QlikTech International AB
  • Salesforce, Inc
  • SAP SE
  • ThoughtSpot Inc
  • Zoho Corporation Pvt. Ltd

KEY QUESTIONS ANSWERED IN THIS REPORT

1. How big is the augmented analytics market?

2. What is the future outlook of the augmented analytics market?

3. What are the key factors driving the augmented analytics market?

4. Which region accounts for the largest augmented analytics market share?

5. Which are the leading companies in the global augmented 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 Augmented Analytics Market

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

6 Market Breakup by Component

  • 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 Deployment Mode

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Organization Size

  • 8.1 Small and Medium-sized Enterprises (SMEs)
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Large Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Industry Vertical

  • 9.1 BFSI
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Retail
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Healthcare and Life Sciences
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Telecom and IT
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Manufacturing
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast
  • 9.6 Government
    • 9.6.1 Market Trends
    • 9.6.2 Market Forecast
  • 9.7 Transportation and Logistics
    • 9.7.1 Market Trends
    • 9.7.2 Market Forecast
  • 9.8 Others
    • 9.8.1 Market Trends
    • 9.8.2 Market Forecast

10 Market Breakup by Region

  • 10.1 North America
    • 10.1.1 United States
      • 10.1.1.1 Market Trends
      • 10.1.1.2 Market Forecast
    • 10.1.2 Canada
      • 10.1.2.1 Market Trends
      • 10.1.2.2 Market Forecast
  • 10.2 Asia-Pacific
    • 10.2.1 China
      • 10.2.1.1 Market Trends
      • 10.2.1.2 Market Forecast
    • 10.2.2 Japan
      • 10.2.2.1 Market Trends
      • 10.2.2.2 Market Forecast
    • 10.2.3 India
      • 10.2.3.1 Market Trends
      • 10.2.3.2 Market Forecast
    • 10.2.4 South Korea
      • 10.2.4.1 Market Trends
      • 10.2.4.2 Market Forecast
    • 10.2.5 Australia
      • 10.2.5.1 Market Trends
      • 10.2.5.2 Market Forecast
    • 10.2.6 Indonesia
      • 10.2.6.1 Market Trends
      • 10.2.6.2 Market Forecast
    • 10.2.7 Others
      • 10.2.7.1 Market Trends
      • 10.2.7.2 Market Forecast
  • 10.3 Europe
    • 10.3.1 Germany
      • 10.3.1.1 Market Trends
      • 10.3.1.2 Market Forecast
    • 10.3.2 France
      • 10.3.2.1 Market Trends
      • 10.3.2.2 Market Forecast
    • 10.3.3 United Kingdom
      • 10.3.3.1 Market Trends
      • 10.3.3.2 Market Forecast
    • 10.3.4 Italy
      • 10.3.4.1 Market Trends
      • 10.3.4.2 Market Forecast
    • 10.3.5 Spain
      • 10.3.5.1 Market Trends
      • 10.3.5.2 Market Forecast
    • 10.3.6 Russia
      • 10.3.6.1 Market Trends
      • 10.3.6.2 Market Forecast
    • 10.3.7 Others
      • 10.3.7.1 Market Trends
      • 10.3.7.2 Market Forecast
  • 10.4 Latin America
    • 10.4.1 Brazil
      • 10.4.1.1 Market Trends
      • 10.4.1.2 Market Forecast
    • 10.4.2 Mexico
      • 10.4.2.1 Market Trends
      • 10.4.2.2 Market Forecast
    • 10.4.3 Others
      • 10.4.3.1 Market Trends
      • 10.4.3.2 Market Forecast
  • 10.5 Middle East and Africa
    • 10.5.1 Market Trends
    • 10.5.2 Market Breakup by Country
    • 10.5.3 Market Forecast

11 SWOT Analysis

  • 11.1 Overview
  • 11.2 Strengths
  • 11.3 Weaknesses
  • 11.4 Opportunities
  • 11.5 Threats

12 Value Chain Analysis

13 Porters Five Forces Analysis

  • 13.1 Overview
  • 13.2 Bargaining Power of Buyers
  • 13.3 Bargaining Power of Suppliers
  • 13.4 Degree of Competition
  • 13.5 Threat of New Entrants
  • 13.6 Threat of Substitutes

14 Price Analysis

15 Competitive Landscape

  • 15.1 Market Structure
  • 15.2 Key Players
  • 15.3 Profiles of Key Players
    • 15.3.1 Domo, Inc.
      • 15.3.1.1 Company Overview
      • 15.3.1.2 Product Portfolio
      • 15.3.1.3 Financials
    • 15.3.2 Microsoft Corporation
      • 15.3.2.1 Company Overview
      • 15.3.2.2 Product Portfolio
      • 15.3.2.3 Financials
      • 15.3.2.4 SWOT Analysis
    • 15.3.3 Orbit Analytics
      • 15.3.3.1 Company Overview
      • 15.3.3.2 Product Portfolio
      • 15.3.3.3 Financials
      • 15.3.3.4 SWOT Analysis
    • 15.3.4 QlikTech International AB
      • 15.3.4.1 Company Overview
      • 15.3.4.2 Product Portfolio
    • 15.3.5 Salesforce, Inc
      • 15.3.5.1 Company Overview
      • 15.3.5.2 Product Portfolio
      • 15.3.5.3 Financials
      • 15.3.5.4 SWOT Analysis
    • 15.3.6 SAP SE
      • 15.3.6.1 Company Overview
      • 15.3.6.2 Product Portfolio
      • 15.3.6.3 Financials
      • 15.3.6.4 SWOT Analysis
    • 15.3.7 ThoughtSpot Inc
      • 15.3.7.1 Company Overview
      • 15.3.7.2 Product Portfolio
    • 15.3.8 Zoho Corporation Pvt. Ltd
      • 15.3.8.1 Company Overview
      • 15.3.8.2 Product Portfolio
      • 15.3.8.3 Financials
      • 15.3.8.4 SWOT Analysis

List of Figures

  • Figure 1: Global: Augmented Analytics Market: Major Drivers and Challenges
  • Figure 2: Global: Augmented Analytics Market: Sales Value (in Billion USD), 2020-2025
  • Figure 3: Global: Augmented Analytics Market Forecast: Sales Value (in Billion USD), 2026-2034
  • Figure 4: Global: Augmented Analytics Market: Breakup by Component (in %), 2025
  • Figure 5: Global: Augmented Analytics Market: Breakup by Deployment Mode (in %), 2025
  • Figure 6: Global: Augmented Analytics Market: Breakup by Organization Size (in %), 2025
  • Figure 7: Global: Augmented Analytics Market: Breakup by Industry Vertical (in %), 2025
  • Figure 8: Global: Augmented Analytics Market: Breakup by Region (in %), 2025
  • Figure 9: Global: Augmented Analytics (Software) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 10: Global: Augmented Analytics (Software) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 11: Global: Augmented Analytics (Services) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 12: Global: Augmented Analytics (Services) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 13: Global: Augmented Analytics (On-premises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 14: Global: Augmented Analytics (On-premises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 15: Global: Augmented Analytics (Cloud-based) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 16: Global: Augmented Analytics (Cloud-based) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 17: Global: Augmented Analytics (Small and Medium-sized Enterprises (SMEs)) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 18: Global: Augmented Analytics (Small and Medium-sized Enterprises (SMEs)) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 19: Global: Augmented Analytics (Large Enterprises) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 20: Global: Augmented Analytics (Large Enterprises) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 21: Global: Augmented Analytics (BFSI) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 22: Global: Augmented Analytics (BFSI) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 23: Global: Augmented Analytics (Retail) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 24: Global: Augmented Analytics (Retail) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 25: Global: Augmented Analytics (Healthcare and Life Sciences) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 26: Global: Augmented Analytics (Healthcare and Life Sciences) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 27: Global: Augmented Analytics (Telecom and IT) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 28: Global: Augmented Analytics (Telecom and IT) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 29: Global: Augmented Analytics (Manufacturing) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 30: Global: Augmented Analytics (Manufacturing) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 31: Global: Augmented Analytics (Government) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 32: Global: Augmented Analytics (Government) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 33: Global: Augmented Analytics (Transportation and Logistics) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 34: Global: Augmented Analytics (Transportation and Logistics) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 35: Global: Augmented Analytics (Other Industry Verticals) Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 36: Global: Augmented Analytics (Other Industry Verticals) Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 37: North America: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 38: North America: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 39: United States: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 40: United States: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 41: Canada: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 42: Canada: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 43: Asia-Pacific: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 44: Asia-Pacific: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 45: China: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 46: China: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 47: Japan: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 48: Japan: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 49: India: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 50: India: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 51: South Korea: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 52: South Korea: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 53: Australia: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 54: Australia: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 55: Indonesia: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 56: Indonesia: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 57: Others: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 58: Others: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 59: Europe: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 60: Europe: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 61: Germany: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 62: Germany: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 63: France: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 64: France: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 65: United Kingdom: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 66: United Kingdom: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 67: Italy: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 68: Italy: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 69: Spain: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 70: Spain: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 71: Russia: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 72: Russia: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 73: Others: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 74: Others: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 75: Latin America: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 76: Latin America: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 77: Brazil: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 78: Brazil: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 79: Mexico: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 80: Mexico: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 81: Others: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 82: Others: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 83: Middle East and Africa: Augmented Analytics Market: Sales Value (in Million USD), 2020 & 2025
  • Figure 84: Middle East and Africa: Augmented Analytics Market: Breakup by Country (in %), 2025
  • Figure 85: Middle East and Africa: Augmented Analytics Market Forecast: Sales Value (in Million USD), 2026-2034
  • Figure 86: Global: Augmented Analytics Industry: SWOT Analysis
  • Figure 87: Global: Augmented Analytics Industry: Value Chain Analysis
  • Figure 88: Global: Augmented Analytics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Augmented Analytics Market: Key Industry Highlights, 2025 and 2034
  • Table 2: Global: Augmented Analytics Market Forecast: Breakup by Component (in Million USD), 2026-2034
  • Table 3: Global: Augmented Analytics Market Forecast: Breakup by Deployment Mode (in Million USD), 2026-2034
  • Table 4: Global: Augmented Analytics Market Forecast: Breakup by Organization Size (in Million USD), 2026-2034
  • Table 5: Global: Augmented Analytics Market Forecast: Breakup by Industry Vertical (in Million USD), 2026-2034
  • Table 6: Global: Augmented Analytics Market Forecast: Breakup by Region (in Million USD), 2026-2034
  • Table 7: Global: Augmented Analytics Market: Competitive Structure
  • Table 8: Global: Augmented Analytics Market: Key Players