NEWS: 公告在東京證券交易所JASDAQ標準市場新上市

表紙
市場調查報告書

財務分析的全球市場 (2021-2027年):市場預測 (零組件、展開區分、組織規模、用途、各終端用戶)、COVID-19的影響、地區的展望、成長的潛在性、市場佔有率

Financial Analytics Market Size By Component, By Deployment Model, By Organization Size, By Application, By End-use, COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2021 - 2027

出版商 Global Market Insights Inc. 商品編碼 1024854
出版日期 內容資訊 英文 320 Pages
商品交期: 2-3個工作天內
價格
財務分析的全球市場 (2021-2027年):市場預測 (零組件、展開區分、組織規模、用途、各終端用戶)、COVID-19的影響、地區的展望、成長的潛在性、市場佔有率 Financial Analytics Market Size By Component, By Deployment Model, By Organization Size, By Application, By End-use, COVID-19 Impact Analysis, Regional Outlook, Growth Potential, Competitive Market Share & Forecast, 2021 - 2027
出版日期: 2021年08月20日內容資訊: 英文 320 Pages
簡介

支援正確的財務預測有價值的分析的需求高漲,財務分析的市場至2027年預計顯示大幅度的成長。此外,世界各地的企業越來越依賴財務分析來支持戰略決策,這進一步促進了行業的採用。主要行業參與者正在採用戰略舉措來獲得競爭優勢並加速業務擴張,增強市場動態。

本報告提供全球財務分析的市場調查,市場定義和概要,新型冠狀病毒感染疾病 (COVID-19) 以及其他的市場影響因素分析,法律制度,技術、革新、專利情勢,市場規模的變化、預測,零組件、展開區分、組織規模、用途、終端用戶、地區/主要國家等各種區分的明細,競爭環境,市場佔有率,主要企業簡介等彙整資訊。

第1章 調查手法、調查範圍

第2章 摘要整理

第3章 產業考察

  • 產業的分類
  • COVID-19的影響
  • 產業的生態系統
  • 財務分析的演進
  • 法規情形
  • 技術、革新情勢
  • 專利分析
  • 投資組合
  • 對產業的影響要素
  • 波特分析
  • PESTEL分析

第4章 競爭情形

  • 市場佔有率分析
  • 主要企業的競爭分析
  • 創新者的競爭分析
  • 供應商採用矩陣

第5章 市場分析、預測:各零件

  • 解決方案
    • 資料整合工具
    • 資料庫管理系統 (DBMS)
    • 查詢、匯報、分析
    • 聯機分析處理 (OLAP) 、視覺化工具
  • 服務
    • 專業服務
    • 管理服務

第6章 市場分析、預測:各部署種類

  • 雲端
  • 內部部署

第7章 市場分析、預測:各組織規模

  • 中小企業
  • 大企業

第8章 市場分析、預測:各用途

  • 總分類帳分析
  • 財富管理
  • 預算調整管理
  • GRC管理
  • 客戶管理
  • 應付帳款/應收賬款分析
  • 交易監視
  • 其他

第9章 市場分析、預測:各終端用戶

  • 零售、消費品
  • BFSI
  • 製造
  • IT、通訊
  • 政府、公共部門
  • 運輸、物流
  • 醫療保健
  • 其他

第10章 市場分析、預測:各地區、主要國家

  • 北美
  • 歐洲
  • 亞太地區
  • 南美
  • 中東、非洲

第11章 企業簡介

  • Alteryx, Inc.
  • Datapine GmbH
  • Domo, Inc.
  • Fair Isaac Corporation(FICO)
  • GoodData Corporation
  • Hitachi Vantara Corporation
  • IBM Corporation
  • Information Builders
  • Microsoft Corporation
  • MicroStrategy, Inc.
  • Oracle Corporation
  • QlikTech International AB
  • Rosslyn Data Technologies
  • Salesforce.com, Inc.
  • SAP SE
  • SAS Institute
  • Tableau Software LLC
  • Teradata Corporation
  • TIBCO Software, Inc.
  • Zoho Corporation
目錄
Product Code: 1923

The financial analytics market is set to witness robust growth by 2027 owing to the proliferation of data-driven financial analytics and insights across many industries.

Prominent demand for in-depth and valuable insights to support accurate financial forecasting among several companies worldwide has stimulated financial analytics market growth in recent years. Moreover, rising dependency of enterprises around the world on financial analytics to support strategic decisions has further bolstered industry adoption.

Additionally, key industry players are employing strategic initiatives to gain a competitive advantage and accelerate business expansion, thereby enhancing market dynamics. For instance, in January 2021, TIBCO Software, Inc., a leading company specializing in enterprise data, announced the acquisition of Information Builders, Inc. (ibi). Through the transaction, TIBCO aimed to integrate ibi's data management and analytics portfolio into its advanced connected intelligence platform to deliver timely data-driven insights to customers.

The financial analytics market has been segmented based on organization size, deployment method, component, application, end-use, and region. Under component, the market has been bifurcated into service (professional services and managed services) and solutions (DBMS, data integration tools, OLAP & visualization tools, and query, reporting & analysis).

The query, reporting & analysis segment is anticipated to expand at a CAGR of around 10% through the forecast period. Quick reporting capabilities, along with widespread adoption across multiple industry verticals, is projected to facilitate segmental growth over the study timeline.

The professional services segment held a substantial market share of almost 65% in 2020 and is expected to observe sizable expansion by 2027 owing to surging demand for consultation, integration, deployment, installation, and maintenance services. Meanwhile, the managed services segment is slated to grow at a CAGR of approximately 15% over the assessment period, due to increased usage of Software-as-a-Service (SaaS) or Platform-as-a-Service (PaaS).

In terms of application, the market has further been segregated into wealth management, customer management, GRC management, transaction monitoring, budgetary control management, payables/receivables analytics, and general ledger analytics. The general ledger analytics segment attained a sizeable market share of around 15% in 2020 and is speculated to progress at a steady pace through the review timeline on account of mounting demand for business transactions analysis services.

The budgetary control management segment is projected to amass considerable gains by 2027, growing at over 10% CAGR through the stipulated timeframe owing to increasing product uptake in the manufacturing sector to maintain costs and eliminate wastage. The GRC management segment held more than 10% market share in 2020 and is set to witness healthy growth through the analysis timeline, on account of mounting requirement for strategic decision-making across several businesses. The customer management segment is anticipated to expand at a CAGR of more than 10% over the projected timeframe due to the soaring need to manage customer relations and propel brand value.

Based on end-use, the market has been divided into healthcare, BFSI, government & public sector, manufacturing, retail & consumer goods, IT & telecom, and transportation & logistics. The retail & consumer goods segment is set to attain around 15% market share by the end of 2027 owing to escalating sale of goods and services.

The manufacturing segment is calculated to showcase strong growth at a CAGR of approximately 10% through the forecast timeline driven by booming demand for management of transaction records across multiple business sectors. In 2020, the government & public sector segment held a market share of nearly 7% and is anticipated to garner notable gains by 2027, owing to rising prevalence of digital payment methods worldwide.

The transportation & logistics segment is estimated to record sizeable growth at a CAGR of about 12% over the projected timespan due to burgeoning demand for data collection, analysis, and demand forecasting services. The healthcare segment accounted for more than 10% market share in 2020 and is set to maintain a positive trajectory through the assessment timeline due to increasing adoption of cloud analytics, which allows enterprises to incorporate data from all sources.

From the regional perspective, the Latin America financial analytics market accounted for almost 9% of the overall industry revenue in 2020 and is foreseen to grow steadily through the study period supported by the expanding e-commerce market in LATAM. The Middle East & Africa financial analytics market is predicted to grow at a CAGR of more than 5% over the forecast timeline. Increasing penetration of big data analytics in MEA is expected to facilitate regional market growth in the coming years.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Scope & definitions
  • 1.2 Methodology & forecast parameters
  • 1.3 Region-wise COVID-19 impact analysis
    • 1.3.1 North America
    • 1.3.2 Europe
    • 1.3.3 Asia Pacific
    • 1.3.4 Latin America
    • 1.3.5 Middle East & Africa
  • 1.4 Regional trends
  • 1.5 Data Sources
    • 1.5.1 Secondary
    • 1.5.2 Primary

Chapter 2 Executive Summary

  • 2.1 Financial analytics industry 360 degree synopsis, 2016 - 2027
  • 2.2 Business trends
  • 2.3 Regional trends
  • 2.4 Component trends
  • 2.5 Deploymen model trends
  • 2.6 Organization size trends
  • 2.7 Application trends
  • 2.8 End-use trends

Chapter 3 Financial Analytics Industry Insights

  • 3.1 Introduction
  • 3.2 Industry segmentation
  • 3.3 Impact of COVID-19 outbreak
    • 3.3.1 Global outlook
    • 3.3.2 By region
      • 3.3.2.1 North America
      • 3.3.2.2 Europe
      • 3.3.2.3 Asia Pacific
      • 3.3.2.4 Latin America
      • 3.3.2.5 Middle East & Africa
    • 3.3.3 Industry value chain
      • 3.3.3.1 Suppliers
      • 3.3.3.2 Financial analytics technology providers
      • 3.3.3.3 Marketing & distribution channels
    • 3.3.4 Competitive landscape
      • 3.3.4.1 Strategy
      • 3.3.4.2 Distribution network
      • 3.3.4.3 Business growth
  • 3.4 Financial analytics ecosystem analysis
    • 3.4.1 Industry ecosystem analysis
    • 3.4.2 Shareholder profit margin analysis
    • 3.4.3 Vendor matrix
  • 3.5 Financial analytics evolution
  • 3.6 Regulatory landscape
    • 3.6.1 Alternative Investment Fund Managers Directive (AIFMD)
    • 3.6.2 Anti-Money Laundering Directive 2015/849/EU (AMLD)
    • 3.6.3 Dodd-Frank Wall Street Reform and Consumer Protection Act
    • 3.6.4 European Market Infrastructure Regulation (EMIR)
    • 3.6.5 Federal Information Security Management Act (FISMA)
    • 3.6.6 Foreign Account Tax Compliance Act (FATCA)
    • 3.6.7 General Data Protection Regulation (GDPR)
    • 3.6.8 Health Insurance Portability and Accountability Act (HIPAA)
    • 3.6.9 Markets in Financial Instruments Directive (MiFID)
    • 3.6.10 Payment Card Industry Data Security Standard (PCI DSS)
    • 3.6.11 The Gramm-Leach-Bliley Act (GLB) Act of 1999
    • 3.6.12 The Sarbanes-Oxley Act of 2022
  • 3.7 Technology and innovation landscape
    • 3.7.1 Application Processing Interface (API)
    • 3.7.2 Blockchain
    • 3.7.3 AI and machine learning
  • 3.8 Patent analysis
  • 3.9 Investment portfolio
  • 3.10 Industry impact forces
    • 3.10.1 Growth drivers
      • 3.10.1.1 Increasing need to reduce planning and budgeting cycles
      • 3.10.1.2 Proliferation of Big Data and advanced analytics across financial operations
      • 3.10.1.3 Increasing adoption of predictive analytics across industries
      • 3.10.1.4 Need for better management of risk and compliance issues
      • 3.10.1.5 Catalyzed investments in the fintech industry
    • 3.10.2 Industry pitfalls & challenges
      • 3.10.2.1 Data integration compexities from data silos
      • 3.10.2.2 Dynamic regulatory framework and changing financial standards
  • 3.11 Porter's analysis
  • 3.12 PESTEL analysis

Chapter 4 Competitive Landscape

  • 4.1 Introduction
  • 4.2 Market share analysis, 2020
  • 4.3 Competitive analysis of key market players, 2020
    • 4.3.1 Fair Isaac Corporation (FICO)
    • 4.3.2 Hitachi Vantara Corporation
    • 4.3.3 IBM Corporation
    • 4.3.4 Microsoft Corporation
    • 4.3.5 Oracle Corporation
    • 4.3.6 SAP SE
    • 4.3.7 SAS Institute
  • 4.4 Competitive analysis of market innovators, 2020
    • 4.4.1 Alteryx, Inc.
    • 4.4.2 MicroStrategy Inc
    • 4.4.3 Salesforce.com, Inc.
    • 4.4.4 Tableau Software LLC
    • 4.4.5 Teradata Corporation
  • 4.5 Vendor adoption matrix

Chapter 5 Financial Analytics Market, By Component

  • 5.1 Financial analytics market share, by component, 2020 & 2027
  • 5.2 Solution
    • 5.2.1 Market estimates and forecast, 2016 - 2027
    • 5.2.2 Data integration tools
      • 5.2.2.1 Market estimates and forecast, 2016 - 2027
    • 5.2.3 Database management systems (DBMS)
      • 5.2.3.1 Market estimates and forecast, 2016 - 2027
    • 5.2.4 Query, reporting & analysis
      • 5.2.4.1 Market estimates and forecast, 2016 - 2027
    • 5.2.5 Online Analytical Processing (OLAP) & visualization tools
      • 5.2.5.1 Market estimates and forecast, 2016 - 2027
  • 5.3 Service
    • 5.3.1 Market estimates and forecast, 2016 - 2027
    • 5.3.2 Professional service
      • 5.3.2.1 Market estimates and forecast, 2016 - 2027
    • 5.3.3 Managed service
      • 5.3.3.1 Market estimates and forecast, 2016 - 2027

Chapter 6 Financial Analytics Market, By Deployment Model

  • 6.1 Financial analytics market share, by deployment model, 2020 & 2027
  • 6.2 Cloud
    • 6.2.1 Market estimates and forecast, 2016 - 2027
  • 6.3 On-premise
    • 6.3.1 Market estimates and forecast, 2016 - 2027

Chapter 7 Financial Analytics Market, By Organization Size

  • 7.1 Financial analytics market share, by organization size, 2020 & 2027
  • 7.2 SMEs
    • 7.2.1 Market estimates and forecast, 2016 - 2027
  • 7.3 Large enterprises
    • 7.3.1 Market estimates and forecast, 2016 - 2027

Chapter 8 Financial Analytics Market, By Application

  • 8.1 Financial analytics market share, by application, 2020 & 2027
  • 8.2 General ledger analytics
    • 8.2.1 Market estimates and forecast, 2016 - 2027
  • 8.3 Wealth management
    • 8.3.1 Market estimates and forecast, 2016 - 2027
  • 8.4 Budgetary control management
    • 8.4.1 Market estimates and forecast, 2016 - 2027
  • 8.5 GRC management
    • 8.5.1 Market estimates and forecast, 2016 - 2027
  • 8.6 Customer management
    • 8.6.1 Market estimates and forecast, 2016 - 2027
  • 8.7 Payables/receivables analytics
    • 8.7.1 Market estimates and forecast, 2016 - 2027
  • 8.8 Transaction monitoring
    • 8.8.1 Market estimates and forecast, 2016 - 2027
  • 8.9 Others
    • 8.9.1 Market estimates and forecast, 2016 - 2027

Chapter 9 Financial Analytics Market, By End-use

  • 9.1 Financial analytics market share, by end-use, 2020 & 2027
  • 9.2 Retail & consumer goods
    • 9.2.1 Market estimates and forecast, 2016 - 2027
  • 9.3 BFSI
    • 9.3.1 Market estimates and forecast, 2016 - 2027
  • 9.4 Manufacturing
    • 9.4.1 Market estimates and forecast, 2016 - 2027
  • 9.5 IT & telecom
    • 9.5.1 Market estimates and forecast, 2016 - 2027
  • 9.6 Government & public sector
    • 9.6.1 Market estimates and forecast, 2016 - 2027
  • 9.7 Transportation & logistics
    • 9.7.1 Market estimates and forecast, 2016 - 2027
  • 9.8 Healthcare
    • 9.8.1 Market estimates and forecast, 2016 - 2027
  • 9.9 Others
    • 9.9.1 Market estimates and forecast, 2016 - 2027

Chapter 10 Financial Analytics Market, By Region

  • 10.1 Financial analytics market share, by region, 2020 & 2027
  • 10.2 North America
    • 10.2.1 Market estimates and forecast, 2016 - 2027
    • 10.2.2 Market estimates and forecast, by component, 2016 - 2027
      • 10.2.2.1 Market estimates and forecast, by solution, 2016 - 2027
      • 10.2.2.2 Market estimates and forecast, by service, 2016 - 2027
    • 10.2.3 Market estimates and forecast, by deployment model, 2016 - 2027
    • 10.2.4 Market estimates and forecast, by organization size, 2016 - 2027
    • 10.2.5 Market estimates and forecast, by application, 2016 - 2027
    • 10.2.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.2.7 U.S.
      • 10.2.7.1 Market estimates and forecast, 2016 - 2027
      • 10.2.7.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.2.7.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.2.7.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.2.7.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.2.7.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.2.7.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.2.7.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.2.8 Canada
      • 10.2.8.1 Market estimates and forecast, 2016 - 2027
      • 10.2.8.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.2.8.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.2.8.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.2.8.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.2.8.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.2.8.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.2.8.6 Market estimates and forecast, by end-use, 2016 - 2027
  • 10.3 Europe
    • 10.3.1 Market estimates and forecast, 2016 - 2027
    • 10.3.2 Market estimates and forecast, by component, 2016 - 2027
      • 10.3.2.1 Market estimates and forecast, by solution, 2016 - 2027
      • 10.3.2.2 Market estimates and forecast, by service, 2016 - 2027
    • 10.3.3 Market estimates and forecast, by deployment model, 2016 - 2027
    • 10.3.4 Market estimates and forecast, by organization size, 2016 - 2027
    • 10.3.5 Market estimates and forecast, by application, 2016 - 2027
    • 10.3.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.3.7 UK
      • 10.3.7.1 Market estimates and forecast, 2016 - 2027
      • 10.3.7.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.3.7.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.3.7.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.3.7.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.3.7.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.3.7.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.3.7.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.3.8 Germany
      • 10.3.8.1 Market estimates and forecast, 2016 - 2027
      • 10.3.8.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.3.8.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.3.8.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.3.8.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.3.8.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.3.8.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.3.8.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.3.9 France
      • 10.3.9.1 Market estimates and forecast, 2016 - 2027
      • 10.3.9.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.3.9.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.3.9.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.3.9.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.3.9.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.3.9.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.3.9.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.3.10 Italy
      • 10.3.10.1 Market estimates and forecast, 2016 - 2027
      • 10.3.10.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.3.10.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.3.10.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.3.10.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.3.10.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.3.10.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.3.10.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.3.11 Spain
      • 10.3.11.1 Market estimates and forecast, 2016 - 2027
      • 10.3.11.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.3.11.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.3.11.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.3.11.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.3.11.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.3.11.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.3.11.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.3.12 Netherlands
      • 10.3.12.1 Market estimates and forecast, 2016 - 2027
      • 10.3.12.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.3.12.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.3.12.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.3.12.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.3.12.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.3.12.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.3.12.6 Market estimates and forecast, by end-use, 2016 - 2027
  • 10.4 Asia Pacific
    • 10.4.1 Market estimates and forecast, 2016 - 2027
    • 10.4.2 Market estimates and forecast, by component, 2016 - 2027
      • 10.4.2.1 Market estimates and forecast, by solution, 2016 - 2027
      • 10.4.2.2 Market estimates and forecast, by service, 2016 - 2027
    • 10.4.3 Market estimates and forecast, by deployment model, 2016 - 2027
    • 10.4.4 Market estimates and forecast, by organization size, 2016 - 2027
    • 10.4.5 Market estimates and forecast, by application, 2016 - 2027
    • 10.4.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.4.7 China
      • 10.4.7.1 Market estimates and forecast, 2016 - 2027
      • 10.4.7.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.4.7.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.4.7.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.4.7.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.4.7.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.4.7.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.4.7.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.4.8 India
      • 10.4.8.1 Market estimates and forecast, 2016 - 2027
      • 10.4.8.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.4.8.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.4.8.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.4.8.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.4.8.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.4.8.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.4.8.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.4.9 Japan
      • 10.4.9.1 Market estimates and forecast, 2016 - 2027
      • 10.4.9.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.4.9.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.4.9.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.4.9.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.4.9.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.4.9.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.4.9.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.4.10 South Korea
      • 10.4.10.1 Market estimates and forecast, 2016 - 2027
      • 10.4.10.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.4.10.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.4.10.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.4.10.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.4.10.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.4.10.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.4.10.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.4.11 Australia & New Zealand (ANZ)
      • 10.4.11.1 Market estimates and forecast, 2016 - 2027
      • 10.4.11.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.4.11.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.4.11.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.4.11.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.4.11.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.4.11.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.4.11.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.4.12 Singapore
      • 10.4.12.1 Market estimates and forecast, 2016 - 2027
      • 10.4.12.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.4.12.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.4.12.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.4.12.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.4.12.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.4.12.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.4.12.6 Market estimates and forecast, by end-use, 2016 - 2027
  • 10.5 Latin America
    • 10.5.1 Market estimates and forecast, 2016 - 2027
    • 10.5.2 Market estimates and forecast, by component, 2016 - 2027
      • 10.5.2.1 Market estimates and forecast, by solution, 2016 - 2027
      • 10.5.2.2 Market estimates and forecast, by service, 2016 - 2027
    • 10.5.3 Market estimates and forecast, by deployment model, 2016 - 2027
    • 10.5.4 Market estimates and forecast, by organization size, 2016 - 2027
    • 10.5.5 Market estimates and forecast, by application, 2016 - 2027
    • 10.5.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.5.7 Mexico
      • 10.5.7.1 Market estimates and forecast, 2016 - 2027
      • 10.5.7.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.5.7.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.5.7.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.5.7.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.5.7.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.5.7.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.5.7.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.5.8 Colombia
      • 10.5.8.1 Market estimates and forecast, 2016 - 2027
      • 10.5.8.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.5.8.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.5.8.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.5.8.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.5.8.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.5.8.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.5.8.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.5.9 Brazil
      • 10.5.9.1 Market estimates and forecast, 2016 - 2027
      • 10.5.9.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.5.9.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.5.9.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.5.9.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.5.9.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.5.9.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.5.9.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.5.10 Argentina
      • 10.5.10.1 Market estimates and forecast, 2016 - 2027
      • 10.5.10.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.5.10.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.5.10.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.5.10.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.5.10.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.5.10.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.5.10.6 Market estimates and forecast, by end-use, 2016 - 2027
  • 10.6 MEA
    • 10.6.1 Market estimates and forecast, 2016 - 2027
    • 10.6.2 Market estimates and forecast, by component, 2016 - 2027
      • 10.6.2.1 Market estimates and forecast, by solution, 2016 - 2027
      • 10.6.2.2 Market estimates and forecast, by service, 2016 - 2027
    • 10.6.3 Market estimates and forecast, by deployment model, 2016 - 2027
    • 10.6.4 Market estimates and forecast, by organization size, 2016 - 2027
    • 10.6.5 Market estimates and forecast, by application, 2016 - 2027
    • 10.6.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.6.7 UAE
      • 10.6.7.1 Market estimates and forecast, 2016 - 2027
      • 10.6.7.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.6.7.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.6.7.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.6.7.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.6.7.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.6.7.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.6.7.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.6.8 Saudi Arabia
      • 10.6.8.1 Market estimates and forecast, 2016 - 2027
      • 10.6.8.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.6.8.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.6.8.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.6.8.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.6.8.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.6.8.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.6.8.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.6.9 South Africa
      • 10.6.9.1 Market estimates and forecast, 2016 - 2027
      • 10.6.9.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.6.9.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.6.9.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.6.9.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.6.9.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.6.9.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.6.9.6 Market estimates and forecast, by end-use, 2016 - 2027
    • 10.6.10 Israel
      • 10.6.10.1 Market estimates and forecast, 2016 - 2027
      • 10.6.10.2 Market estimates and forecast, by component, 2016 - 2027
        • 10.6.10.2.1 Market estimates and forecast, by solution, 2016 - 2027
        • 10.6.10.2.2 Market estimates and forecast, by service, 2016 - 2027
      • 10.6.10.3 Market estimates and forecast, by deployment model, 2016 - 2027
      • 10.6.10.4 Market estimates and forecast, by organization size, 2016 - 2027
      • 10.6.10.5 Market estimates and forecast, by application, 2016 - 2027
      • 10.6.10.6 Market estimates and forecast, by end-use, 2016 - 2027

Chapter 11 Company Profiles

  • 11.1 Alteryx, Inc.
    • 11.1.1 Business Overview
    • 11.1.2 Financial Data
    • 11.1.3 Product Landscape
    • 11.1.4 Go-to-Market Strategy
    • 11.1.5 SWOT Analysis
  • 11.2 Datapine GmbH
    • 11.2.1 Business Overview
    • 11.2.2 Financial Data
    • 11.2.3 Product Landscape
    • 11.2.4 Go-to-Market Strategy
    • 11.2.5 SWOT Analysis
  • 11.3 Domo, Inc.
    • 11.3.1 Business Overview
    • 11.3.2 Financial Data
    • 11.3.3 Product Landscape
    • 11.3.4 Go-to-Market Strategy
    • 11.3.5 SWOT Analysis
  • 11.4 Fair Isaac Corporation (FICO)
    • 11.4.1 Business Overview
    • 11.4.2 Financial Data
    • 11.4.3 Product Landscape
    • 11.4.4 Go-to-Market Strategy
    • 11.4.5 SWOT Analysis
  • 11.5 GoodData Corporation
    • 11.5.1 Business Overview
    • 11.5.2 Financial Data
    • 11.5.3 Product Landscape
    • 11.5.4 Go-to-Market Strategy
    • 11.5.5 SWOT Analysis
  • 11.6 Hitachi Vantara Corporation
    • 11.6.1 Business Overview
    • 11.6.2 Financial Data
    • 11.6.3 Product Landscape
    • 11.6.4 Go-to-Market Strategy
    • 11.6.5 SWOT Analysis
  • 11.7 IBM Corporation
    • 11.7.1 Business Overview
    • 11.7.2 Financial Data
    • 11.7.3 Product Landscape
    • 11.7.4 Go-to-Market Strategy
    • 11.7.5 SWOT Analysis
  • 11.8 Information Builders
    • 11.8.1 Business Overview
    • 11.8.2 Financial Data
    • 11.8.3 Product Landscape
    • 11.8.4 Go-to-Market Strategy
    • 11.8.5 SWOT Analysis
  • 11.9 Microsoft Corporation
    • 11.9.1 Business Overview
    • 11.9.2 Financial Data
    • 11.9.3 Product Landscape
    • 11.9.4 Go-to-Market Strategy
    • 11.9.5 SWOT Analysis
  • 11.10 MicroStrategy, Inc.
    • 11.10.1 Business Overview
    • 11.10.2 Financial Data
    • 11.10.3 Product Landscape
    • 11.10.4 Go-to-Market Strategy
    • 11.10.5 SWOT Analysis
  • 11.11 Oracle Corporation
    • 11.11.1 Business Overview
    • 11.11.2 Financial Data
    • 11.11.3 Product Landscape
    • 11.11.4 Go-to-Market Strategy
    • 11.11.5 SWOT Analysis
  • 11.12 QlikTech International AB
    • 11.12.1 Business Overview
    • 11.12.2 Financial Data
    • 11.12.3 Product Landscape
    • 11.12.4 Go-to-Market Strategy
    • 11.12.5 SWOT Analysis
  • 11.13 Rosslyn Data Technologies
    • 11.13.1 Business Overview
    • 11.13.2 Financial Data
    • 11.13.3 Product Landscape
    • 11.13.4 Go-to-Market Strategy
    • 11.13.5 SWOT Analysis
  • 11.14 Salesforce.com, Inc.
    • 11.14.1 Business Overview
    • 11.14.2 Financial Data
    • 11.14.3 Product Landscape
    • 11.14.4 Go-to-Market Strategy
    • 11.14.5 SWOT Analysis
  • 11.15 SAP SE
    • 11.15.1 Business Overview
    • 11.15.2 Financial Data
    • 11.15.3 Product Landscape
    • 11.15.4 Go-to-Market Strategy
    • 11.15.5 SWOT Analysis
  • 11.16 SAS Institute
    • 11.16.1 Business Overview
    • 11.16.2 Financial Data
    • 11.16.3 Product Landscape
    • 11.16.4 Go-to-Market Strategy
    • 11.16.5 SWOT Analysis
  • 11.17 Tableau Software LLC
    • 11.17.1 Business Overview
    • 11.17.2 Financial Data
    • 11.17.3 Product Landscape
    • 11.17.4 Go-to-Market Strategy
    • 11.17.5 SWOT Analysis
  • 11.18 Teradata Corporation
    • 11.18.1 Business Overview
    • 11.18.2 Financial Data
    • 11.18.3 Product Landscape
    • 11.18.4 Go-to-Market Strategy
    • 11.18.5 SWOT Analysis
  • 11.19 TIBCO Software, Inc.
    • 11.19.1 Business Overview
    • 11.19.2 Financial Data
    • 11.19.3 Product Landscape
    • 11.19.4 Go-to-Market Strategy
    • 11.19.5 SWOT Analysis
  • 11.20 Zoho Corporation
    • 11.20.1 Business Overview
    • 11.20.2 Financial Data
    • 11.20.3 Product Landscape
    • 11.20.4 Go-to-Market Strategy
    • 11.20.5 SWOT Analysis