시장보고서
상품코드
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세계의 증강 분석 시장 규모, 점유율, 산업 동향 분석 리포트 : 기업 유형별, 최종사용자별, 지역별 전망과 예측(2023-2030년)

Global Augmented Analytics Market Size, Share & Industry Trends Analysis Report By Enterprise Type (Large Enterprises, Small & Medium Enterprises), By End User, By Regional Outlook and Forecast, 2023 - 2030

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 246 Pages | 배송안내 : 즉시배송


※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

증강 분석 시장 규모는 2030년까지 702억 달러에 달할 것으로 예측되며, 예측 기간 중 CAGR은 22.3%의 시장 성장률로 상승할 전망입니다.

KBV Cardinal matrix에 제시된 분석에 따르면 Microsoft Corporation가 이 시장에서 TOP 러너입니다. 오라클·코퍼레이션, SAP SE, IBM 코퍼레이션 등의 기업은 이 시장의 주요 이노베이터입니다. 예를 들면 2023년 6월, Salesforce, Inc.는 Google이 제공하는 클라우드 플랫폼인 Google Cloud와 제휴했습니다. 양 회사는 데이터 및 AI 툴을 CRM 시스템에 포함하는 것으로 기업의 CRM 시스템 강화를 촉진하는 것을 목적으로 하고 있습니다.

시장 성장 요인

산업 전반의 디지털 전환으로 인한 수요 증가

기업은 디지털 전환 활동의 일환으로 수많은 데이터를 수집하고 축적하고 있습니다. 의미 있는 인사이트를 도출하고, 정보에 입각한 의사결정을 내리기 위해서는 고급 분석 툴이 필요합니다. 자동화 및 예측 기능을 갖춘 분석 툴은 기업이 이러한 데이터를 효과적으로 활용할 수 있도록 도와줍니다. 디지털 전환은 고객 경험 개선에 초점을 맞추는 경우가 많습니다. 디지털 전환은 고객 데이터를 분석하여 선호도와 행동을 파악함으로써 이 부분에서 중요한 역할을 합니다. 이를 통해 조직은 디지털 전환의 핵심 노력으로 보다 개인화된 맞춤형 경험을 제공할 수 있습니다. 디지털 전환은 종종 클라우드 기술을 도입하고 디지털 인프라를 확장하는 것을 포함합니다. 따라서 강력한 데이터 보안과 GDPR 및 HIPAA와 같은 법률을 준수해야 할 필요성이 더욱 커집니다. 이러한 툴은 기밀 데이터를 보호하고 규제 준수를 보장하기 위해 첨단 보안 기능을 제공합니다. 따라서 이러한 요인들은 향후 수년간 이러한 분석에 대한 수요를 촉진할 것으로 예상됩니다.

확장된 분석 솔루션의 사용자 친화적인 특성

이러한 툴의 사용자 친화적인 특성은 데이터 과학자나 분석가뿐만 아니라 더 많은 전문가들이 이러한 툴을 사용할 수 있다는 것을 의미합니다. 이는 확장된 분석의 잠재적 사용자층을 넓히고 다양한 산업과 분야에서 채택을 증가시킬 수 있습니다. 기존 데이터 분석 방법론은 광범위한 훈련과 전문 지식이 필요한 경우가 많아, 이러한 툴을 효과적으로 사용할 수 있는 사람이 제한적이었습니다. 오그멘티드 애널리틱스는 기술 장벽을 낮춰 다양한 수준의 기술 전문성을 가진 전문가들이 데이터 분석에 접근할 수 있도록 합니다. 즉, 조직내 더 많은 사람들이 대규모 교육 없이도 데이터 분석에 적극적으로 참여할 수 있게 되어 도입 프로세스의 속도를 높일 수 있습니다. 데이터 분석의 민주화는 조직내 데이터베이스 문화의 발전을 촉진합니다. 다양한 수준의 직원들이 데이터에 쉽게 접근하고 분석할 수 있게 되면, 데이터는 의사결정 과정에 필수적인 요소로 자리 잡는다. 이러한 문화 변화는 보다 혁신적이고 민첩한 조직을 만들어낼 수 있습니다. 결과적으로 이러한 요인들은 향후 수년간 시장 확대에 기여할 것으로 보입니다.

시장 성장 억제요인

데이터 프라이버시 및 보안에 대한 우려 증가

유럽의 GDPR, 캘리포니아의 CCPA와 같은 엄격한 데이터 프라이버시 규제로 인해 기업은 엄격한 데이터 보호 조치를 준수해야 합니다. 이러한 규제를 준수하기 위해서는 데이터 암호화, 안전한 보관, 법률 자문 등에 투자하는 등 많은 비용이 소요되는 경우가 많습니다. 이는 전체 솔루션 도입 비용을 증가시켜 일부 조직에서 도입을 기피하는 원인이 되기도 합니다. 강화된 데이터 프라이버시 보호 조치로 인해, 특히 개인 정보나 기밀 정보가 포함된 경우, 확장 분석 툴이 특정 데이터에 접근하고 분석하는 것이 어려워질 수 있습니다. 이러한 제한은 종합적인 데이터 분석을 방해하고 잠재적인 인사이트을 감소시킬 수 있습니다. 조직은 규정 준수를 보장하기 위해 데이터 액세스, 권한 및 암호화를 신중하게 관리해야 합니다. 이러한 복잡성으로 인해 이러한 툴의 도입과 유지보수가 어려울 수 있습니다. 이러한 요인으로 인해 향후 수년간 확장형 애널리틱스 시장 수요가 감소할 수 있습니다.

기업 유형별 전망

기업 유형에 따라 시장은 대기업과 중소기업으로 구분되며, 2022년에는 중소기업 부문이 시장에서 큰 매출 점유율을 차지할 것으로 예상됩니다. 이러한 솔루션은 중소기업에 점점 더 저렴한 가격으로 제공되고 있습니다. 많은 벤더들이 클라우드 기반 구독 모델을 제공하기 때문에 중소기업은 하드웨어나 소프트웨어에 많은 비용을 선투자하지 않고도 고급 분석 툴에 접근할 수 있습니다. 이러한 비용 효율성은 중소기업이 확장된 애널리틱스를 도입하는 데 큰 동기가 되고 있습니다. 따라서 이 부문은 향후 수년간 급성장할 것으로 예상됩니다.

최종사용자 전망

최종사용자별로 보면 BFSI, IT 및 통신, 정부, 소매, 의료, 제조, 운송 및 물류, 에너지 및 유틸리티, 기타로 구분되며, BFSI 부문은 2022년 시장에서 가장 큰 매출 점유율을 기록할 것으로 예상됩니다. 경쟁이 치열하고 데이터 중심적인 은행 및 금융 업계에서는 데이터베이스 의사결정이 필수적이며, BFSI 부문은 위험 평가 및 관리에 중점을 두고 있습니다. 확장된 애널리틱스는 예측 모델링과 잠재적 위험 식별을 돕습니다. 이를 통해 금융기관은 보다 정확한 리스크 프로파일을 생성하고 시장 변동에 신속하게 대응할 수 있습니다. 이에 따라 이 분야에 대한 수요가 증가할 것으로 보입니다.

지역별 전망

지역별로 보면 시장은 북미, 유럽, 아시아태평양, LAMEA로 나뉩니다. 북미 부문은 2022년 시장에서 가장 높은 매출 점유율을 차지할 것으로 예상됩니다. 이 지역에서는 인공지능(AI), 머신러닝, 자연어처리(NLP) 등 첨단 기술의 개발 및 도입이 급증하고 있습니다. 이 지역 기업은 데이터 분석이 경쟁 우위를 확보하고 정보에 입각한 의사결정을 내리는 데 있으며, 중요하다는 것을 잘 알고 있습니다. 데이터 분석을 통해 접근성이 높고 효율적인 방법을 제공하는 AI는 이러한 환경에 자연스럽게 부합합니다. 이러한 측면에서 북미에서 수요가 증가할 것으로 예상됩니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장의 개요

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 촉진요인
    • 시장 억제요인

제4장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 개발
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품의 확대
    • 인수합병
  • 시장 점유율 분석 2022년
  • 주요 성공 전략
    • 주요 전략
    • 주요 전략적 동향
  • Porter's Five Forces 분석

제5장 세계의 증강 분석 시장 : 기업 유형별

  • 세계의 대기업 시장 : 지역별
  • 세계의 중소기업 시장 : 지역별

제6장 세계의 증강 분석 시장 : 최종사용자별

  • 세계의 BFSI 시장 : 지역별
  • 세계의 IT 및 통신 시장 : 지역별
  • 세계의 정부 시장 : 지역별
  • 세계의 소매 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 제조업 시장 : 지역별
  • 세계의 운송 및 물류 시장 : 지역별
  • 세계의 에너지 및 유틸리티 시장 : 지역별
  • 세계의 기타 시장 : 지역별

제7장 세계의 증강 분석 시장 : 지역별

  • 북미
  • 유럽
  • 아시아태평양
  • 라틴아메리카·중동 및 아프리카

제8장 기업 개요

  • QlikTech International AB
  • MicroStrategy, Inc
  • Salesforce, Inc
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Tibco Software, Inc(Vista Equity Partners)
  • SAP SE
  • SAS Institute, Inc
  • Alteryx, Inc

제9장 시장의 성공 필수 조건

KSA 23.12.04

The Global Augmented Analytics Market size is expected to reach $70.2 billion by 2030, rising at a market growth of 22.3% CAGR during the forecast period.

Businesses in the retail sector must comprehend consumer behavior and preferences. Augmented analytics helps retailers make data-driven decisions that improve efficiency and reduce operational costs. Consequently, the retail segment captured $2,248.3 in the market in 2022. Retailers are leveraging augmented analytics to gain deeper insights into their operations. They use data analysis to optimize inventory management, supply chain processes, and pricing strategies. Augmented analytics tools enable retailers to analyze large volumes of customer data, such as purchase history, online behavior, and feedback. This analysis helps retailers personalize marketing efforts and enhance the customer experience.

The major strategies followed by the market participants are Partnerships as the key developmental strategy to keep pace with the changing demands of end users. For instance, In October, 2023, MicroStrategy, Inc. partnered with Microsoft, to integrate its advanced analytics capabilities Microsoft's with Azure OpenAI Service. The partnership aids MicroStrategy in strengthening its analytics platform, MicroStrategy ONE. However, In August, 2023, IBM Corporation partnered with Salesforce, an American software company, to aid businesses worldwide in AI integration into their CRM systems.

Based on the Analysis presented in the KBV Cardinal matrix; Microsoft Corporation is the forerunner in the Market. Companies such as Oracle Corporation, SAP SE, IBM Corporation are some of the key innovators in the Market. For Instance, In June, 2023, Salesforce, Inc. came into partnership with Google Cloud, a cloud platform offered by Google. The two companies aimed to facilitate businesses in enhancing their CRM systems by including data and AI tools in them.

Market Growth Factors

Rising Demand Due to Digital Transformation Across Industries

Countless amounts of data are being gathered and stored by enterprises as part of digital transformation activities. They require advanced analytics tools to extract meaningful insights and drive informed decisions. With its automation and predictive capabilities, it helps organizations leverage this data effectively. Digital transformation often focuses on improving the customer experience. It plays a crucial role in this by analyzing customer data to understand preferences and behaviors. This enables organizations to provide more personalized and tailored experiences central to digital transformation efforts. Digital transformation often involves adopting cloud technologies and expanding digital infrastructures. This enhances the requirement for strong data security and adherence to laws like GDPR and HIPAA. These tools offer advanced security features to protect sensitive data and ensure regulatory compliance. Therefore, these factors will drive the demand for these analytics in the coming years.

User-Friendly Nature of Augmented Analytics Solutions

The user-friendly nature of these tools means that a broader range of professionals, beyond data scientists and analysts, can use these tools. This widens the potential user base for augmented analytics, increasing its adoption across various industries and sectors. Traditional data analysis methods often required extensive training and expertise, limiting the number of individuals who could effectively use these tools. It lowers the skill barriers, making data analysis accessible to professionals with varying levels of technical expertise. This means that more people within an organization can actively engage in data analysis without undergoing extensive training, thus speeding up the adoption process. The democratization of data analysis encourages the development of a data-driven culture within organizations. When employees at various levels can easily access and analyze data, it becomes an integral part of their decision-making processes. This cultural shift fosters a more innovative and agile organization. As a result, these factors will help in the expansion of the market in the coming years.

Market Restraining Factors

Rising Concerns Over Data Privacy and Security

Stricter data privacy regulations, such as GDPR in Europe and CCPA in California, require organizations to adhere to stringent data protection measures. Complying with these regulations often entails significant costs, including investments in data encryption, secure storage, and legal consultation. This can increase the overall cost of implementing these solutions, discouraging some organizations from adopting them. Enhanced data privacy measures can make it more challenging for augmented analytics tools to access and analyze certain data, especially when it contains personal or sensitive information. This limitation can hinder the comprehensive data analysis, reducing the potential insights generated. Organizations must carefully manage data access, permissions, and encryption to ensure compliance. Due to this complexity, the implementation and maintenance of these tools may be difficult. Owing to these factors, the augmented analytics market can witness decreased demand in the upcoming years.

Enterprise Type Outlook

Based on enterprise type, the market is segmented into large enterprises and small & medium enterprises. In 2022, the small and medium enterprises segment garnered a significant revenue share in the market. These solutions are becoming increasingly affordable and accessible to SMEs. Many vendors offer cloud-based, subscription-based models, allowing SMEs to access advanced analytics tools without substantial upfront investments in hardware or software. This cost-effectiveness is a significant incentive for SMEs to adopt augmented analytics. Therefore, the segment will grow rapidly in the upcoming years.

End User Outlook

On the basis of end user, the market is divided into BFSI, IT & telecom, government, retail, healthcare, manufacturing, transport & logistics, energy & utility, and others. The BFSI segment recorded the maximum revenue share in the market in 2022. In the highly competitive and data-centric world of banking and finance, data-driven decision-making is imperative. The BFSI sector places a strong emphasis on risk assessment and management. Augmented analytics aids in predictive modeling and the identification of potential risks. It enables financial institutions to create more accurate risk profiles and react swiftly to market fluctuations. As a result, there will be increased demand in the segment.

Regional Outlook

By region, the market is segmented into North America, Europe, Asia Pacific, and LAMEA. The North America segment procured the highest revenue share in the market in 2022. The region has seen a surge in developing and adopting advanced technologies, including artificial intelligence (AI), machine learning, and natural language processing (NLP). They understand the importance of data analysis in gaining a competitive edge and making informed decisions. It offers a more accessible and efficient way to analyze data, making it a natural fit for this environment. These aspects are expected to increase the demand in the North America segment.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include QlikTech International AB, Salesforce Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, TIBCO Software Inc., SAP SE, SAS Institute Inc., MicroStrategy, Inc. and Alteryx, Inc.

Recent Strategies Deployed in Augmented Analytics Market

Partnerships, Collaborations & Agreements:

Oct-2023: MicroStrategy, Inc. partnered with Microsoft, an American technology company, to integrate its advanced analytics capabilities Microsoft's with Azure OpenAI Service. The partnership aids MicroStrategy in strengthening its analytics platform, MicroStrategy ONE.

Aug-2023: IBM Corporation partnered with Salesforce, an American software company, to aid businesses worldwide in AI integration into their CRM systems. The partnership would help the joint customers of the companies to meet their business needs using the power of generative AI.

Jun-2023: Salesforce, Inc. came into partnership with Google Cloud, a cloud platform offered by Google. The two companies aimed to facilitate businesses in enhancing their CRM systems by including data and AI tools in them.

May-2023: SAP SE entered a partnership with Accenture, an Irish IT company, to develop business models based on the SAP Business Technology Platform (SAP BTP). The models developed as a result of this partnership would aid their customers to streamline and improve their business operations.

May-2023: SAP SE signed a partnership with Google Cloud, a cloud platform offered by Google, to integrate Google Cloud's Data and Analytics Technology with SAP's portfolio. The partnership enables SAP to serve its customers in a better way by providing them with a portfolio that would simplify the data landscapes, perform advanced analysis, and provide quick access to important business-related data.

Jul-2021: IBM Corporation partnered with SAP SE, a German software company, to facilitate the IBM cloud adoption in the financial services industry by integrating IBM cloud with SAP's portfolio of finance and data management solutions. The partnership aids IBM in serving its customers in a better way by helping them increase operational efficiencies through the use of the cloud.

Jun-2021: Salesforce, Inc. signed a partnership with Amazon Web Services, Inc., a subsidiary of Amazon, to provide customers with digital transformation solutions. The companies aimed to achieve the objective by unifying their respective offerings.

May-2021: SAP extended its partnership with Team Liquid, a leading worldwide professional esports organization. By using the power of SAP HANA, predictive & and machine learning functionalities, and the SAP Business Technology Platform, Team Liquid would more rapidly and efficiently evaluate opponents' approaches.

Jan-2021: SAS extended its 40-year partnership with the US Food and Drug Administration (FDA). Under this expansion, SAS aimed to expand its capabilities in natural language processing, AI, and ML capabilities via the SAS Viya platform with the support of the FDA's mission as an important public health agency. This partnership would help FDA to advance CDER's initiative to modernize drug regulatory programs, better meet the centre's mission, and offer analytically driven drug manufacturing facility surveillance via other core initiatives.

Product Launches and Product Expansions:

Oct-2023: MicroStrategy, Inc. released MicroStrategy AI, a tool that facilitates users to smoothly integrate generative AI into their data applications. The capabilities of the tool include Auto Answers, Auto Dashboard., Auto SQL, and Auto Expert.

Sep-2023: Oracle Corporation released new AI-powered capabilities for its Oracle Analytics Cloud. The new features utilize Oracle Cloud Infrastructure (OCI) Generative AI service to aid analytics self-service users in conducting sophisticated analysis in a quicker way. The new capabilities include Generative AI Data Interactions, AI-Powered Document Understanding, Contextual Insights, and Collaboration Software Integrations.

Sep-2023: Oracle Corporation released Fusion Data Intelligence Platform, an AI-powered business tool for providing 360-degree data models and enhanced interactive analytics. The tool combines data-driven insights with intelligent decisions and actions for delivering better business outcomes.

Jun-2023: QlikTech International AB released Qlik OpenAI Analytics Connector, a suite of OpenAI connectors that helps users to bring Generative AI content into Qlik that would facilitate a wide variety of cloud analytics. Using the product, Users would be able to integrate powerful natural language insights directly from OpenAI into analytics apps and conduct direct queries of ChatGPT augmented with data from Qlik.

May-2023: Microsoft Corporation unveiled Microsoft Fabric, an end-to-end, unified analytics platform that aids organizations with all the data and analytics tools they need. The fabric features seven workloads namely, Data Factory, Synapse Data Engineering, Synapse Data Science, Synapse Data Warehousing, Synapse Real-Time Analytics, Power BI, and Data Activator.

Mar-2023: Salesforce, Inc. unveiled Einstein GPT. The Einstein GPT is an AI-powered CRM technology used for delivering AI-created content at a hyper-scale across different interactions. The Einstein GPT features Salesforce's unique AI models and compatibility with Salesforce Data Cloud.

Feb-2023: Alteryx, Inc. announced new features for the Alteryx Analytics Cloud Platform. The new features include the Alteryx Designer Cloud interface, Reporting functionality, and Alteryx Metrics Store.

Nov-2022: IBM Corporation announced the launch of IBM Business Analytics Enterprise. The Business Analytics Enterprise is a collection of business intelligence services used for planning, forecasting, and reporting for a business. The Business Analytics Enterprise features IBM Analytics Content Hub that provides analytics and planning dashboards, it features algorithms used for advising role-based content for assistance in decision making.

Mergers & Acquisition:

May-2023: IBM Corporation announced the acquisition of Polar Security, an Israeli software company. The acquisition enhances IBM's Security Guardium platform.

Feb-2022: Alteryx, Inc. took over Trifacta, a software company headquartered in the United States. The acquisition makes Alteryx a special provider of a comprehensive offering of end-to-end automated analytics solutions.

Sep-2021: QlikTech International AB acquired Big Squid, a provider of no-code automated machine learning (AutoML). The acquisition allows QlikTech to provide the industry's most robust augmented analytics capabilities suite for cloud analytics and reinforces its vision of Active Intelligence.

Jan-2021: Tibco Software, Inc. announced the acquisition of Information Builders, Inc., a data analytics solutions provider. The acquisition enhances TIBCO's offerings by adding Information Builders' data analytics and management capabilities to TIBCO's Connected Intelligence platform.

Jan-2021: SAS acquired Boemska, a privately held technology company. This acquisition aimed to improve SAS Viya, a cloud-native, advanced analytics platform, with enriching capabilities that accelerate SAS' objective of supporting the whole analytics life cycle and facilitating customer transformation to the cloud.

Scope of the Study

Market Segments covered in the Report:

By Enterprise Type

  • Large Enterprises
  • Small & Medium Enterprises

By End User

  • BFSI
  • IT & Telecom
  • Government
  • Retail
  • Healthcare
  • Manufacturing
  • Transport & Logistics
  • Energy & Utility
  • Others

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Singapore
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Companies Profiled

  • QlikTech International AB
  • Salesforce Inc.
  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • TIBCO Software Inc.
  • SAP SE
  • SAS Institute Inc.
  • MicroStrategy, Inc.
  • Alteryx, Inc.

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Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global Augmented Analytics Market, by Enterprise Type
    • 1.4.2 Global Augmented Analytics Market, by End User
    • 1.4.3 Global Augmented Analytics Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints

Chapter 4. Competition Analysis - Global

  • 4.1 KBV Cardinal Matrix
  • 4.2 Recent Industry Wide Strategic Developments
    • 4.2.1 Partnerships, Collaborations and Agreements
    • 4.2.2 Product Launches and Product Expansions
    • 4.2.3 Acquisition and Mergers
  • 4.3 Market Share Analysis, 2022
  • 4.4 Top Winning Strategies
    • 4.4.1 Key Leading Strategies: Percentage Distribution (2019-2023)
    • 4.4.2 Key Strategic Move: (Partnerships, Collaborations & Agreements: 2020, Jun - 2023, Oct) Leading Players
  • 4.5 Porter Five Forces Analysis

Chapter 5. Global Augmented Analytics Market, By Enterprise Type

  • 5.1 Global Large Enterprises Market, By Region
  • 5.2 Global Small & Medium Enterprises Market, By Region

Chapter 6. Global Augmented Analytics Market, By End User

  • 6.1 Global BFSI Market, By Region
  • 6.2 Global IT & Telecom Market, By Region
  • 6.3 Global Government Market, By Region
  • 6.4 Global Retail Market, By Region
  • 6.5 Global Healthcare Market, By Region
  • 6.6 Global Manufacturing Market, By Region
  • 6.7 Global Transport & Logistics Market, By Region
  • 6.8 Global Energy & Utility Market, By Region
  • 6.9 Global Others Market, By Region

Chapter 7. Global Augmented Analytics Market, By Region

  • 7.1 North America Augmented Analytics Market
    • 7.1.1 North America Augmented Analytics Market, By Enterprise Type
      • 7.1.1.1 North America Large Enterprises Market, By Country
      • 7.1.1.2 North America Small & Medium Enterprises Market, By Country
    • 7.1.2 North America Augmented Analytics Market, By End User
      • 7.1.2.1 North America BFSI Market, By Country
      • 7.1.2.2 North America IT & Telecom Market, By Country
      • 7.1.2.3 North America Government Market, By Country
      • 7.1.2.4 North America Retail Market, By Country
      • 7.1.2.5 North America Healthcare Market, By Country
      • 7.1.2.6 North America Manufacturing Market, By Country
      • 7.1.2.7 North America Transport & Logistics Market, By Country
      • 7.1.2.8 North America Energy & Utility Market, By Country
      • 7.1.2.9 North America Others Market, By Country
    • 7.1.3 North America Augmented Analytics Market, By Country
      • 7.1.3.1 US Augmented Analytics Market
        • 7.1.3.1.1 US Augmented Analytics Market, By Enterprise Type
        • 7.1.3.1.2 US Augmented Analytics Market, By End User
      • 7.1.3.2 Canada Augmented Analytics Market
        • 7.1.3.2.1 Canada Augmented Analytics Market, By Enterprise Type
        • 7.1.3.2.2 Canada Augmented Analytics Market, By End User
      • 7.1.3.3 Mexico Augmented Analytics Market
        • 7.1.3.3.1 Mexico Augmented Analytics Market, By Enterprise Type
        • 7.1.3.3.2 Mexico Augmented Analytics Market, By End User
      • 7.1.3.4 Rest of North America Augmented Analytics Market
        • 7.1.3.4.1 Rest of North America Augmented Analytics Market, By Enterprise Type
        • 7.1.3.4.2 Rest of North America Augmented Analytics Market, By End User
  • 7.2 Europe Augmented Analytics Market
    • 7.2.1 Europe Augmented Analytics Market, By Enterprise Type
      • 7.2.1.1 Europe Large Enterprises Market, By Country
      • 7.2.1.2 Europe Small & Medium Enterprises Market, By Country
    • 7.2.2 Europe Augmented Analytics Market, By End User
      • 7.2.2.1 Europe BFSI Market, By Country
      • 7.2.2.2 Europe IT & Telecom Market, By Country
      • 7.2.2.3 Europe Government Market, By Country
      • 7.2.2.4 Europe Retail Market, By Country
      • 7.2.2.5 Europe Healthcare Market, By Country
      • 7.2.2.6 Europe Manufacturing Market, By Country
      • 7.2.2.7 Europe Transport & Logistics Market, By Country
      • 7.2.2.8 Europe Energy & Utility Market, By Country
      • 7.2.2.9 Europe Others Market, By Country
    • 7.2.3 Europe Augmented Analytics Market, By Country
      • 7.2.3.1 Germany Augmented Analytics Market
        • 7.2.3.1.1 Germany Augmented Analytics Market, By Enterprise Type
        • 7.2.3.1.2 Germany Augmented Analytics Market, By End User
      • 7.2.3.2 UK Augmented Analytics Market
        • 7.2.3.2.1 UK Augmented Analytics Market, By Enterprise Type
        • 7.2.3.2.2 UK Augmented Analytics Market, By End User
      • 7.2.3.3 France Augmented Analytics Market
        • 7.2.3.3.1 France Augmented Analytics Market, By Enterprise Type
        • 7.2.3.3.2 France Augmented Analytics Market, By End User
      • 7.2.3.4 Russia Augmented Analytics Market
        • 7.2.3.4.1 Russia Augmented Analytics Market, By Enterprise Type
        • 7.2.3.4.2 Russia Augmented Analytics Market, By End User
      • 7.2.3.5 Spain Augmented Analytics Market
        • 7.2.3.5.1 Spain Augmented Analytics Market, By Enterprise Type
        • 7.2.3.5.2 Spain Augmented Analytics Market, By End User
      • 7.2.3.6 Italy Augmented Analytics Market
        • 7.2.3.6.1 Italy Augmented Analytics Market, By Enterprise Type
        • 7.2.3.6.2 Italy Augmented Analytics Market, By End User
      • 7.2.3.7 Rest of Europe Augmented Analytics Market
        • 7.2.3.7.1 Rest of Europe Augmented Analytics Market, By Enterprise Type
        • 7.2.3.7.2 Rest of Europe Augmented Analytics Market, By End User
  • 7.3 Asia Pacific Augmented Analytics Market
    • 7.3.1 Asia Pacific Augmented Analytics Market, By Enterprise Type
      • 7.3.1.1 Asia Pacific Large Enterprises Market, By Country
      • 7.3.1.2 Asia Pacific Small & Medium Enterprises Market, By Country
    • 7.3.2 Asia Pacific Augmented Analytics Market, By End User
      • 7.3.2.1 Asia Pacific BFSI Market, By Country
      • 7.3.2.2 Asia Pacific IT & Telecom Market, By Country
      • 7.3.2.3 Asia Pacific Government Market, By Country
      • 7.3.2.4 Asia Pacific Retail Market, By Country
      • 7.3.2.5 Asia Pacific Healthcare Market, By Country
      • 7.3.2.6 Asia Pacific Manufacturing Market, By Country
      • 7.3.2.7 Asia Pacific Transport & Logistics Market, By Country
      • 7.3.2.8 Asia Pacific Energy & Utility Market, By Country
      • 7.3.2.9 Asia Pacific Others Market, By Country
    • 7.3.3 Asia Pacific Augmented Analytics Market, By Country
      • 7.3.3.1 China Augmented Analytics Market
        • 7.3.3.1.1 China Augmented Analytics Market, By Enterprise Type
        • 7.3.3.1.2 China Augmented Analytics Market, By End User
      • 7.3.3.2 Japan Augmented Analytics Market
        • 7.3.3.2.1 Japan Augmented Analytics Market, By Enterprise Type
        • 7.3.3.2.2 Japan Augmented Analytics Market, By End User
      • 7.3.3.3 India Augmented Analytics Market
        • 7.3.3.3.1 India Augmented Analytics Market, By Enterprise Type
        • 7.3.3.3.2 India Augmented Analytics Market, By End User
      • 7.3.3.4 South Korea Augmented Analytics Market
        • 7.3.3.4.1 South Korea Augmented Analytics Market, By Enterprise Type
        • 7.3.3.4.2 South Korea Augmented Analytics Market, By End User
      • 7.3.3.5 Singapore Augmented Analytics Market
        • 7.3.3.5.1 Singapore Augmented Analytics Market, By Enterprise Type
        • 7.3.3.5.2 Singapore Augmented Analytics Market, By End User
      • 7.3.3.6 Malaysia Augmented Analytics Market
        • 7.3.3.6.1 Malaysia Augmented Analytics Market, By Enterprise Type
        • 7.3.3.6.2 Malaysia Augmented Analytics Market, By End User
      • 7.3.3.7 Rest of Asia Pacific Augmented Analytics Market
        • 7.3.3.7.1 Rest of Asia Pacific Augmented Analytics Market, By Enterprise Type
        • 7.3.3.7.2 Rest of Asia Pacific Augmented Analytics Market, By End User
  • 7.4 LAMEA Augmented Analytics Market
    • 7.4.1 LAMEA Augmented Analytics Market, By Enterprise Type
      • 7.4.1.1 LAMEA Large Enterprises Market, By Country
      • 7.4.1.2 LAMEA Small & Medium Enterprises Market, By Country
    • 7.4.2 LAMEA Augmented Analytics Market, By End User
      • 7.4.2.1 LAMEA BFSI Market, By Country
      • 7.4.2.2 LAMEA IT & Telecom Market, By Country
      • 7.4.2.3 LAMEA Government Market, By Country
      • 7.4.2.4 LAMEA Retail Market, By Country
      • 7.4.2.5 LAMEA Healthcare Market, By Country
      • 7.4.2.6 LAMEA Manufacturing Market, By Country
      • 7.4.2.7 LAMEA Transport & Logistics Market, By Country
      • 7.4.2.8 LAMEA Energy & Utility Market, By Country
      • 7.4.2.9 LAMEA Others Market, By Country
    • 7.4.3 LAMEA Augmented Analytics Market, By Country
      • 7.4.3.1 Brazil Augmented Analytics Market
        • 7.4.3.1.1 Brazil Augmented Analytics Market, By Enterprise Type
        • 7.4.3.1.2 Brazil Augmented Analytics Market, By End User
      • 7.4.3.2 Argentina Augmented Analytics Market
        • 7.4.3.2.1 Argentina Augmented Analytics Market, By Enterprise Type
        • 7.4.3.2.2 Argentina Augmented Analytics Market, By End User
      • 7.4.3.3 UAE Augmented Analytics Market
        • 7.4.3.3.1 UAE Augmented Analytics Market, By Enterprise Type
        • 7.4.3.3.2 UAE Augmented Analytics Market, By End User
      • 7.4.3.4 Saudi Arabia Augmented Analytics Market
        • 7.4.3.4.1 Saudi Arabia Augmented Analytics Market, By Enterprise Type
        • 7.4.3.4.2 Saudi Arabia Augmented Analytics Market, By End User
      • 7.4.3.5 South Africa Augmented Analytics Market
        • 7.4.3.5.1 South Africa Augmented Analytics Market, By Enterprise Type
        • 7.4.3.5.2 South Africa Augmented Analytics Market, By End User
      • 7.4.3.6 Nigeria Augmented Analytics Market
        • 7.4.3.6.1 Nigeria Augmented Analytics Market, By Enterprise Type
        • 7.4.3.6.2 Nigeria Augmented Analytics Market, By End User
      • 7.4.3.7 Rest of LAMEA Augmented Analytics Market
        • 7.4.3.7.1 Rest of LAMEA Augmented Analytics Market, By Enterprise Type
        • 7.4.3.7.2 Rest of LAMEA Augmented Analytics Market, By End User

Chapter 8. Company Profiles

  • 8.1 QlikTech International AB
    • 8.1.1 Company Overview
    • 8.1.2 Recent strategies and developments:
      • 8.1.2.1 Partnerships, Collaborations, and Agreements:
      • 8.1.2.2 Product Launches and Product Expansions:
      • 8.1.2.3 Acquisition and Mergers:
    • 8.1.3 SWOT Analysis
  • 8.2 MicroStrategy, Inc.
    • 8.2.1 Company Overview
    • 8.2.2 Financial Analysis
    • 8.2.3 Regional Analysis
    • 8.2.4 Research & Development Expenses
    • 8.2.5 Recent strategies and developments:
      • 8.2.5.1 Partnerships, Collaborations, and Agreements:
      • 8.2.5.2 Product Launches and Product Expansions:
    • 8.2.6 SWOT Analysis
  • 8.3 Salesforce, Inc.
    • 8.3.1 Company Overview
    • 8.3.2 Financial Analysis
    • 8.3.3 Regional Analysis
    • 8.3.4 Research & Development Expense
    • 8.3.5 Recent strategies and developments:
      • 8.3.5.1 Partnerships, Collaborations, and Agreements:
      • 8.3.5.2 Product Launches and Product Expansions:
      • 8.3.5.3 Acquisition and Mergers:
    • 8.3.6 SWOT Analysis
  • 8.4 IBM Corporation
    • 8.4.1 Company Overview
    • 8.4.2 Financial Analysis
    • 8.4.3 Segmental and Regional Analysis
    • 8.4.4 Research & Development Expenses
    • 8.4.5 Recent strategies and developments:
      • 8.4.5.1 Partnerships, Collaborations, and Agreements:
      • 8.4.5.2 Product Launches and Product Expansions:
      • 8.4.5.3 Acquisition and Mergers:
    • 8.4.6 SWOT Analysis
  • 8.5 Microsoft Corporation
    • 8.5.1 Company Overview
    • 8.5.2 Financial Analysis
    • 8.5.3 Segmental and Regional Analysis
    • 8.5.4 Research & Development Expenses
    • 8.5.5 Recent strategies and developments:
      • 8.5.5.1 Product Launches and Product Expansions:
      • 8.5.5.2 Acquisition and Mergers:
    • 8.5.6 SWOT Analysis
  • 8.6 Oracle Corporation
    • 8.6.1 Company Overview
    • 8.6.2 Financial Analysis
    • 8.6.3 Segmental and Regional Analysis
    • 8.6.4 Research & Development Expense
    • 8.6.5 Recent strategies and developments:
      • 8.6.5.1 Product Launches and Product Expansions:
    • 8.6.6 SWOT Analysis
  • 8.7 Tibco Software, Inc. (Vista Equity Partners)
    • 8.7.1 Company Overview
    • 8.7.2 Recent strategies and developments:
      • 8.7.2.1 Acquisition and Mergers:
    • 8.7.3 SWOT Analysis
  • 8.8 SAP SE
    • 8.8.1 Company Overview
    • 8.8.2 Financial Analysis
    • 8.8.3 Segmental and Regional Analysis
    • 8.8.4 Research & Development Expense
    • 8.8.5 Recent strategies and developments:
      • 8.8.5.1 Partnerships, Collaborations, and Agreements:
    • 8.8.6 SWOT Analysis
  • 8.9 SAS Institute, Inc.
    • 8.9.1 Company Overview
    • 8.9.2 Recent strategies and developments:
      • 8.9.2.1 Partnerships, Collaborations, and Agreements:
      • 8.9.2.2 Acquisition and Mergers:
    • 8.9.3 SWOT Analysis
  • 8.10. Alteryx, Inc.
    • 8.10.1 Company Overview
    • 8.10.2 Financial Analysis
    • 8.10.3 Regional Analysis
    • 8.10.4 Research & Development Expense
    • 8.10.5 Recent strategies and developments:
      • 8.10.5.1 Product Launches and Product Expansions:
      • 8.10.5.2 Acquisition and Mergers:
    • 8.10.6 SWOT Analysis

Chapter 9. Winning imperatives of Augmented Analytics Market

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