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市场调查报告书
商品编码
2009118

增强型分析市场规模、份额、趋势和预测：按组件、部署模式、企业规模、行业和地区划分，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个工作天内

价格

2025年全球增强分析市场规模为186亿美元。展望未来，IMARC集团预测，该市场将在2026年至2034年间以18.31%的复合年增长率成长，到2034年达到883亿美元。目前，北美市场处于领先地位，预计到2025年将占据超过42%的市场。这主要得益于北美地区对先进人工智慧的采用、强大的数位基础设施以及主要行业参与者加速推进增强分析解决方案的发展。

增强型分析市场的主要驱动力之一是各行业对数据驱动决策日益增长的需求。随着企业产生大量数据，对能够提供可执行洞察并减少人工干预的高级分析工具的需求也日益增长。例如，亚马逊和Databricks于2024年签署了一项为期五年的协议，使用Trainium AI晶片来降低AI开发成本。 AWS是Databricks成长最快的云端合作伙伴，其客户带来的收入超过10亿美元。增强型分析利用人工智慧（AI）和机器学习（ML）技术来自动化资料准备、分析和视觉化，从而帮助企业提高效率和准确性。这项技术甚至使非技术用户也能提取有意义的洞察，从而减少对资料科学家的依赖。随着企业将即时分析作为获得竞争优势的优先事项，增强型分析的采用正在加速，推动市场成长。

作为全球技术创新、研究和企业应用中心，美国在增强型分析市场中扮演着至关重要的角色。 Google、微软和IBM等领先科技公司不断改进人工智慧驱动的分析解决方案，以提升商业智慧能力。例如，2025年1月，IBM与欧莱雅合作开发了一款基于GenAI技术的客製化人工智慧模型，旨在帮助欧莱雅全球4000名研究人员改进化妆品配方、优化永续性并加速产品创新。美国强大的数位基础设施、高普及率的云端运算以及对数据驱动决策日益增长的需求，正在推动市场扩张。此外，包括金融、医疗保健和零售在内的各行各业的美国公司都在采用增强型分析来提高营运效率并获得竞争考察。政府支持人工智慧和巨量资料的措施也进一步巩固了美国在该市场的地位。

增强型分析市场的发展趋势：

机器学习和人工智慧的快速融合

机器学习 (ML) 和人工智慧 (AI) 的应用正在显着重塑全球增强分析市场。据报道，35% 的公司已在各个部门部署了 AI。 80% 的高阶主管认为他们可以在所有业务决策中利用自动化。这些技术促进了预测分析和自动化数据分析，从而改善了决策流程。 ML 和 AI 透过侦测大量资料集中的趋势和模式，帮助企业更有效地产生可执行的洞察。此外，这一趋势正在推动从医疗保健到金融等关键行业的需求，在这些行业中，即时数据分析对于营运优化至关重要。而且，这些技术的持续发展有望进一步加速增强分析解决方案的普及，使其更易于使用，即使是技术水平较低的客户也能获得更强大的解决方案。例如，2024 年 3 月，美国信用报告机构 TransUnion 推出了 OneTru，这是一个全新的 AI 驱动的数据分析平台，旨在为金融机构提供 ML 和 AI 工具，以推出其在行销、诈欺预防和信贷方面的需求。

自助式分析的激增

根据《增强型分析市场报告》，自助式分析是一项重要的市场趋势，它使不具备技术专长的使用者也能独立进行数据分析。近期产业研究显示，受访企业中利用分析和商业智慧的员工比例成长了87%。这一显着趋势正在降低企业对IT部门和资料科学家的依赖，并强化企业内部的决策流程。此外，对于那些寻求建立数据主导环境并实现数据民主化存取的企业而言，提供用户友好且无缝介面的工具正迅速获得青睐。随着即时分析和营运效率在各行各业的重要性日益凸显，对自助式分析系统的需求预计将快速增长，从而加速其在医疗保健、零售和金融等关键行业的广泛应用。例如，2023年9月，电脑科技公司Oracle宣布在其Oracle Analytics Cloud中推出基于人工智慧的新功能。借助其云端基础设施，自助式分析使用者可以更有效地执行进阶分析，从而促进自主、全面且快速的业务决策。

对基于云端的分析解决方案的需求日益增长

根据增强分析市场研究报告，基于云端的增强分析解决方案的需求正在成长，这主要归功于其成本效益、多功能性和扩充性。报告预测，2022年全球终端用户在公共云端服务的支出将成长20.4%，达到4,947亿美元，高于2021年的4,109亿美元。云端平台使企业能够评估和储存大量数据，而无需大规模的本地基础设施。此外，云端服务还有助于远端存取资料分析工具，并加强分散式团队之间的协作。随着越来越多的公司优先推进数位转型（DX）计划，预计云端分析的使用将进一步扩展，从而加速增强分析能力的创新，并促进与其他云端服务和应用程式的无缝整合。例如，2024 年 6 月，人工智慧和资料分析服务供应商Qlik 发布了“Qlik Talend Cloud”，这是一个基于云端的资料平台，带有生成式人工智慧助手，用于利用和管理非结构化资料。

目录

第一章：序言

第二章：调查方法

  • 调查目的
  • 相关利益者
  • 数据来源
    • 主要讯息
    • 次要讯息
  • 市场估值
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章执行摘要

第四章：引言

第五章：全球增强分析市场

  • 市场概览
  • 市场表现
  • 新冠疫情的影响
  • 市场预测

第六章 市场区隔：依组件划分

  • 软体
  • 服务

第七章 市场区隔：依部署模式

  • 现场
  • 基于云端的

第八章 市场区隔：依组织规模划分

  • 中小企业
  • 大公司

第九章 市场区隔：依产业划分

  • BFSI
  • 零售
  • 医疗保健和生命科学
  • 通信/IT
  • 製造业
  • 政府
  • 运输/物流
  • 其他的

第十章 市场区隔：依地区划分

  • 北美洲
    • 我们
    • 加拿大
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲

第十一章 SWOT 分析

第十二章：价值链分析

第十三章：波特五力分析

第十四章：价格分析

第十五章 竞争格局

  • 市场结构
  • 主要企业
  • 主要企业简介
    • 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