시장보고서
상품코드
2009118

증강 분석 시장 규모, 점유율, 동향 및 예측 : 구성요소별, 전개 방식별, 기업 규모별, 업계별, 지역별(2026-2034년)

Augmented Analytics Market Size, Share, Trends and Forecast by Component, Deployment Mode, Organization Size, Industry Vertical, and Region, 2026-2034

발행일: | 리서치사: 구분자 IMARC | 페이지 정보: 영문 149 Pages | 배송안내 : 2-3일 (영업일 기준)

    
    
    




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2025년의 세계 증강 분석 시장 규모는 186억 달러로 평가되었습니다. 향후 IMARC Group은 2026년부터 2034년까지 CAGR 18.31%를 기록하며 2034년까지 시장 규모가 883억 달러에 달할 것으로 예측하고 있습니다. 현재 북미가 시장을 주도하고 있으며, 2025년에는 42% 이상의 큰 시장 점유율을 차지했습니다. 이는 고급 AI 도입, 탄탄한 디지털 인프라, 그리고 주요 업계 기업들의 확장된 분석 솔루션의 성장 가속화에 기인합니다.

증강 분석 시장의 주요 촉진요인 중 하나는 산업을 막론하고 데이터 기반 의사결정에 대한 수요가 증가하고 있다는 점입니다. 기업이 대량의 데이터를 생성함에 따라 수작업을 줄이고 실용적인 인사이트를 제공하는 고급 분석 도구에 대한 수요가 증가하고 있습니다. 예를 들어, 2024년에는 아마존과 Databricks가 Trainium AI 칩을 사용하기 위한 5년 계약을 체결하여 AI 개발 비용 절감을 꾀했습니다. Databricks의 가장 빠르게 성장하는 클라우드 파트너인 AWS는 고객으로부터 10억 달러 이상의 수익을 창출하고 있습니다. 확장된 분석은 인공지능(AI)과 머신러닝(ML)을 활용하여 데이터 준비, 분석, 시각화를 자동화하여 조직이 효율성과 정확성을 향상시킬 수 있도록 지원합니다. 이 기술을 통해 기술적 지식이 없는 사용자도 의미 있는 인사이트를 도출할 수 있어 데이터 과학자에 대한 의존도를 낮출 수 있습니다. 기업들이 경쟁 우위를 확보하기 위해 실시간 분석을 우선시하는 가운데, 확장된 분석의 도입이 가속화되면서 시장 성장을 견인하고 있습니다.

미국은 기술 혁신, 연구 및 기업 도입의 세계 거점으로서 확장된 분석 시장에서 매우 중요한 역할을 하고 있습니다. 구글, 마이크로소프트, IBM 등 주요 기술 기업들은 비즈니스 인텔리전스 기능을 강화하기 위해 AI를 활용한 분석 솔루션을 지속적으로 발전시키고 있습니다. 예를 들어, 2025년 1월 IBM과 L'Oreal은 제휴를 맺고 GenAI를 활용한 맞춤형 AI 모델을 개발했습니다. 이는 로레알의 전 세계 4,000여 명의 연구원들이 화장품 포뮬러를 개선하고, 지속가능성을 최적화하며, 제품 혁신을 가속화하기 위한 것입니다. 탄탄한 디지털 인프라, 클라우드 컴퓨팅의 높은 보급률, 데이터 기반 의사결정에 대한 수요 증가가 시장 확대를 견인하고 있습니다. 또한, 금융, 의료, 소매 등 다양한 업종의 미국 기업들은 업무 효율성 향상과 경쟁 우위를 확보하기 위해 확장된 분석을 도입하고 있습니다. AI와 빅데이터를 지원하는 정부의 노력은 이 시장에서 미국의 입지를 더욱 공고히 하고 있습니다.

증강 분석 시장 동향:

머신러닝과 AI의 빠른 통합

머신러닝(ML)과 인공지능(AI)의 도입은 전 세계 증강 분석 시장을 크게 재정의하고 있습니다. 보고서에 따르면, 이들 기업의 35%는 다양한 부문에서 AI를 도입하고 있습니다. 경영진의 80%는 모든 비즈니스 의사결정에 자동화를 활용할 수 있다고 생각합니다. 이러한 기술은 예측 분석과 데이터 분석의 자동화를 촉진하고 의사결정 과정을 개선합니다. ML과 AI는 방대한 데이터세트에서 트렌드와 패턴을 감지하여 기업이 실행 가능한 인사이트를 보다 효과적으로 생성할 수 있도록 돕습니다. 또한, 이러한 추세는 실시간 데이터 분석이 업무 최적화를 위해 필수적인 의료부터 금융에 이르기까지 모든 주요 분야에서 수요를 촉진하고 있습니다. 또한, 이러한 기술의 끊임없는 발전으로 확장된 분석 솔루션의 활용이 더욱 촉진되어, 기술에 익숙하지 않은 고객들도 보다 쉽게 사용할 수 있는 고급 솔루션으로 자리 잡을 것으로 예상됩니다. 예를 들어, 2024년 3월 미국의 신용 조사 회사인 TransUnion은 금융 기관에 마케팅, 사기 방지, 신용 요구에 대응하는 ML 및 AI 도구를 제공하기 위해 AI 기반의 새로운 데이터 분석 플랫폼인 'OneTru'를 출시하였습니다.

셀프서비스 분석의 급증

확장된 분석 시장 보고서에 따르면, 셀프서비스 분석은 시장에서 두드러진 추세로, 기술적 지식이 없는 사용자들이 스스로 데이터 분석을 수행하도록 장려하고 있습니다. 최근 업계 조사에 따르면, 조사 대상 조직에서 분석 및 비즈니스 인텔리전스를 활용하는 직원의 비율이 87% 증가한 것으로 나타났습니다. 이러한 현저한 추세는 IT 부서와 데이터 과학자에 대한 의존도를 낮추고, 기업 내 의사결정 과정을 강화하는 방향으로 나아가고 있습니다. 또한, 데이터 중심 환경을 촉진하고 데이터에 대한 접근을 민주화하려는 기업들은 사용자 친화적이고 원활한 인터페이스를 제공하는 툴을 빠르게 활용하고 있습니다. 또한, 더 많은 산업에서 실시간 분석과 업무 효율성이 우선순위로 떠오르면서 셀프서비스 분석 시스템에 대한 수요는 빠르게 증가할 것으로 예상되며, 의료, 소매, 금융 등 주요 산업에서 광범위한 도입이 촉진될 것으로 보입니다. 예를 들어, 2023년 9월 컴퓨터 기술 기업 Oracle은 Oracle 애널리틱스 클라우드(Oracle Analytics Cloud)에 새로운 AI 기반 기능을 발표했습니다. 클라우드 인프라를 활용하여 셀프서비스 분석 사용자가 보다 효과적으로 고급 분석을 수행할 수 있도록 지원하며, 자율적이고 포괄적이며 신속한 비즈니스 의사결정을 촉진합니다.

클라우드 기반 분석 솔루션에 대한 수요 증가

확장형 분석 시장 조사 보고서에 따르면, 클라우드 기반 확장형 분석 솔루션에 대한 수요는 주로 비용 효율성, 다양성 및 확장성으로 인해 점점 더 높아지고 있습니다. 보고서에 따르면, 2022년 퍼블릭 클라우드 서비스에 대한 세계 최종사용자 지출은 2021년 4,109억 달러에서 20.4% 증가한 4,947억 달러에 달할 것으로 예측됩니다. 클라우드 기반 플랫폼은 대규모 온프레미스 인프라 없이도 방대한 양의 데이터를 평가하고 축적할 수 있는 능력을 기업에 제공합니다. 또한, 클라우드 기반 서비스는 데이터 분석 도구에 대한 원격 액세스를 용이하게 하고, 분산된 팀 간의 협업을 강화합니다. 또한, 디지털 전환(Digital Transformation, DX)을 우선시하는 기업이 늘어남에 따라 클라우드 기반 분석의 활용이 확대될 것으로 예상되며, 이는 확장된 분석 기능의 혁신을 더욱 촉진하고 다른 클라우드 기반 서비스 및 애플리케이션과의 원활한 통합을 지원하게 될 것입니다. 지원될 것입니다. 예를 들어, 2024년 6월 AI 및 데이터 분석 서비스 제공업체인 Qlik은 비정형 데이터를 활용하고 관리하기 위해 생성형 AI 어시스턴트를 갖춘 클라우드 기반 데이터 플랫폼인 'Qlik Talend Cloud'를 출시했습니다.

목차

제1장 서문

제2장 조사 범위와 조사 방법

제3장 주요 요약

제4장 소개

제5장 세계의 증강 분석 시장

제6장 시장 내역 : 구성요소별

제7장 시장 내역 : 전개 방식별

제8장 시장 내역 : 조직 규모별

제9장 시장 내역 : 업계별

제10장 시장 내역 : 지역별

제11장 SWOT 분석

제12장 밸류체인 분석

제13장 Porter's Five Forces 분석

제14장 가격 분석

제15장 경쟁 구도

KSM 26.05.04

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
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