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封面
市场调查报告书
商品编码
1544640

数据视觉化工具市场、机会、成长动力、产业趋势分析与预测，2024-2032

Data Visualization Tool Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
出版日期: | 出版商: Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3个工作天内

价格
简介目录

由于企业需要即时解释大量资料，全球数据视觉化工具市场从 2024 年到 2032 年的复合年增长率将达到 11%，从而导致组织寻求能够提供复杂资料集的交互式视觉表示的工具。此外，巨量资料分析的兴起以及对数据驱动决策的日益重视正在推动对高阶视觉化工具的需求。举个例子，2024 年 5 月，微软在 Power BI 中引入了 Fabric 和 Copilot，统一了 Power BI、Azure Synapse 和 Azure Data Factory 等平台的资料分析。此端到端解决方案旨在简化资料管理并加强协作，以提高洞察力和创新能力。

资料视觉化工具中人工智慧和机器学习功能的整合进一步增强了其吸引力，为使用者提供预测分析和更深入的见解。随着各行业的企业优先考虑资料素养和可近性，市场参与者就会出现利润丰厚的机会。

资料视觉化工具市场根据组件、应用程式、组织规模、部署模式、最终用户和区域进行分类。

在资料复杂性不断增加和客製化解决方案需求的推动下，服务领域将在研究期间显着成长。组织认识到，现成的工具通常需要额外的支援和专业知识才能有效地根据其特定需求进行客製化。随着企业寻求优化其资料视觉化策略，他们正在转向专业服务来实施、培训和持续支援。这一趋势凸显了专家指导在最大限度地提高不同组织环境中资料视觉化工具的实用性和效率方面的价值。

由于对资料视觉化解决方案的投资以增强决策的分析能力，到 2032 年，中小企业将在资料视觉化工具市场中占据重要份额。与拥有丰富资源的大型企业不同，中小企业通常需要具有成本效益且用户友好的工具，以提供可扩展性和易于整合的功能。随着资料视觉化工具越来越容易为小型组织提供和客製化，这些实体正在利用资料来获得竞争优势，从而推动市场成长。

在快速数位转型和日益重视以数据为中心的决策的推动下，到 2032 年，欧洲资料视觉化工具市场将以惊人的速度成长。欧洲企业正在投资资料视觉化工具，以遵守严格的资料法规并增强其分析能力。此外，欧洲智慧技术和物联网的兴起正在产生大量资料，从而增加了整个地区对先进视觉化解决方案的需求。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

  • 产业生态系统分析
  • 供应商格局
    • 平台提供者
    • 软体供应商
    • 技术提供者
    • 演算法整合商
    • 云端服务供应商
  • 利润率分析
  • 技术和创新格局
  • 专利分析
  • 重要新闻和倡议
  • 监管环境
  • 衝击力
    • 成长动力
      • 来自不同来源的资料量和种类呈指数级增长
      • 企业对即时洞察的需求
      • 自助分析的兴起
      • 人工智慧自动机在资料分析中的集成
    • 产业陷阱与挑战
      • 整合不同来源资料的复杂性
      • 缺乏精通资料分析和视觉化的专业人员
  • 成长潜力分析
  • 波特的分析
  • PESTEL分析

第 4 章：竞争格局

  • 介绍
  • 公司市占率分析
  • 竞争定位矩阵
  • 战略展望矩阵

第 5 章：市场估计与预测：按组成部分，2021 - 2032 年

  • 主要趋势
  • 软体
    • 独立式
    • 融合的
  • 服务
    • 专业服务
    • 託管服务

第 6 章：市场估计与预测：按应用分类，2021 - 2032

  • 主要趋势
  • 金融
  • 人力资源（HR）
  • 销售和行销
  • 供应链
  • 其他的

第 7 章：市场估计与预测：按组织规模 2021 - 2032 年

  • 主要趋势
  • 中小企业
  • 大型企业

第 8 章：市场估计与预测：按部署模式，2021 - 2032

  • 主要趋势
  • 云
  • 本地

第 9 章：市场估计与预测：按最终用户划分，2021 - 2032 年

  • 主要趋势
  • BFSI
  • 卫生保健
  • 零售
  • 资讯科技和电信
  • 政府和公共部门
  • 製造业
  • 媒体和娱乐
  • 能源和公用事业
  • 运输与物流
  • 教育
  • 其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

  • 主要趋势
  • 墨西哥
  • 北美洲
    • 我们
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 北欧人
    • 欧洲其他地区
  • 亚太地区
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳新银行
    • 东南亚
    • 亚太地区其他地区
  • 南美洲
    • 巴西
    • 阿根廷
    • 拉丁美洲其他地区
  • MEA
    • 阿联酋
    • 南非
    • 沙乌地阿拉伯
    • MEA 的其余部分

第 11 章：公司简介

  • Microsoft Corporation (Power BI)
  • Salesforce
  • QlikTech International AB (Qlik)
  • SAP SE (SAP Analytics Cloud)
  • Oracle Corporation
  • IBM Corporation (Cognos Analytics)
  • SAS Institute Inc.
  • Looker (owned by Google/Alphabet Inc.)
  • Sisense Inc.
  • Domo, Inc.
  • TIBCO Software Inc.
  • Alteryx, Inc.
  • MicroStrategy
  • Dundas Data Visualization, Inc.
  • ThoughtSpot
简介目录
Product Code: 10175

Global Data Visualization Tool Market will record an 11% CAGR from 2024 to 2032, fueled by the need for businesses to interpret vast amounts of data in real-time, leading organizations to seek tools that provide interactive visual representations of complex data sets. Additionally, the rise of big data analytics and the growing emphasis on data-driven decision-making are propelling the demand for advanced visualization tools. Citing an illustration, in May 2024, Microsoft introduced Fabric and Copilot in Power BI, unifying data analytics across platforms like Power BI, Azure Synapse, and Azure Data Factory. This end-to-end solution aims to streamline data management and enhance collaboration for improved insights and innovation.

The integration of AI and machine learning capabilities in data visualization tools further enhances their appeal, providing users with predictive analytics and deeper insights. As businesses across various industries prioritize data literacy and accessibility, lucrative opportunities emerge for the market players.

The data visualization tool market is classified based on component, application, organization size, deployment mode, end users, and region.

The services segment will grow at a notable pace over the study period, driven by the increasing complexity of data and the need for customized solutions. Organizations are recognizing that off-the-shelf tools often require additional support and expertise to effectively tailor them to their specific needs. As businesses seek to optimize their data visualization strategies, they are turning to specialized services for implementation, training, and ongoing support. This trend highlights the value of expert guidance in maximizing the utility and efficiency of data visualization tools within diverse organizational contexts.

The SMEs segment will hold a significant share in the data visualization tool market by 2032, owing to investments in data visualization solutions to enhance the analytical capabilities for strong decision-making. Unlike large enterprises with extensive resources, SMEs often require cost-effective and user-friendly tools that offer scalability and ease of integration. As data visualization tools become increasingly accessible and customized for smaller organizations, these entities are harnessing data to gain a competitive edge, driving market growth.

Europe data visualization tool market will grow at an impressive pace through 2032, propelled by the rapid digital transformation and increasing emphasis on data-centric decision-making. European businesses are investing in data visualization tools to comply with stringent data regulations and enhance their analytical capabilities. Additionally, the rise of smart technologies and IoT in Europe is generating vast amounts of data, escalating the demand for advanced visualization solutions across the region.

Table of Contents

Chapter 1 Methodology and Scope

  • 1.1 Market scope and definitions
  • 1.2 Research design
    • 1.2.1 Research approach
    • 1.2.2 Data collection methods
  • 1.3 Base estimates and calculations
    • 1.3.1 Base year calculation
    • 1.3.2 Key trends for market estimation
  • 1.4 Forecast model
  • 1.5 Primary research and validation
    • 1.5.1 Primary sources
    • 1.5.2 Data mining sources

Chapter 2 Executive Summary

  • 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Supplier landscape
    • 3.2.1 Platform providers
    • 3.2.2 Software Providers
    • 3.2.3 Technology providers
    • 3.2.4 Algorithm integrators
    • 3.2.5 Cloud service providers
  • 3.3 Profit margin analysis
  • 3.4 Technology and innovation landscape
  • 3.5 Patent analysis
  • 3.6 Key news and initiatives
  • 3.7 Regulatory landscape
  • 3.8 Impact forces
    • 3.8.1 Growth drivers
      • 3.8.1.1 The exponential growth in data volume and variety from diverse sources
      • 3.8.1.2 Demand for real-time insights by businesses
      • 3.8.1.3 Rise of self-service analytics
      • 3.8.1.4 Integration of AI automaton in data analysis
    • 3.8.2 Industry pitfalls and challenges
      • 3.8.2.1 Complexity in integrating data from disparate sources
      • 3.8.2.2 Shortage of professionals skilled in both data analysis and visualization
  • 3.9 Growth potential analysis
  • 3.10 Porter's analysis
    • 3.10.1 Supplier power
    • 3.10.2 Buyer power
    • 3.10.3 Threat of new entrants
    • 3.10.4 Threat of substitutes
    • 3.10.5 Industry rivalry
  • 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

  • 4.1 Introduction
  • 4.2 Company market share analysis
  • 4.3 Competitive positioning matrix
  • 4.4 Strategic outlook matrix

Chapter 5 Market Estimates and Forecast, By Component, 2021 - 2032 ($Bn)

  • 5.1 Key trends
  • 5.2 Software
    • 5.2.1 Standalone
    • 5.2.2 Integrated
  • 5.3 Services
    • 5.3.1 Professional services
    • 5.3.2 Managed services

Chapter 6 Market Estimates and Forecast, By Application, 2021 - 2032 ($Bn)

  • 6.1 Key trends
  • 6.2 Finance
  • 6.3 Human resources (HR)
  • 6.4 Sales and Marketing
  • 6.5 Supply chain
  • 6.6 Others

Chapter 7 Market Estimates and Forecast, By Organization size 2021 - 2032 ($Bn)

  • 7.1 Key trends
  • 7.2 SMEs
  • 7.3 Large enterprise

Chapter 8 Market Estimates and Forecast, By Deployment mode, 2021 - 2032 ($Bn)

  • 8.1 Key trends
  • 8.2 Cloud
  • 8.3 On-premises

Chapter 9 Market Estimates and Forecast, By End users, 2021 - 2032 ($Bn)

  • 9.1 Key trends
  • 9.2 BFSI
  • 9.3 Healthcare
  • 9.4 Retail
  • 9.5 IT and Telecom
  • 9.6 Government and Public Sector
  • 9.7 Manufacturing
  • 9.8 Media and Entertainment
  • 9.9 Energy and Utilities
  • 9.10 Transportation and Logistics
  • 9.11 Education
  • 9.12 Others

Chapter 10 Market Estimates and Forecast, By Region, 2021 - 2032 ($Bn)

  • 10.1 Key trends
  • 10.2 Mexico
  • 10.3 North America
    • 10.3.1 U.S.
    • 10.3.2 Canada
  • 10.4 Europe
    • 10.4.1 UK
    • 10.4.2 Germany
    • 10.4.3 France
    • 10.4.4 Italy
    • 10.4.5 Spain
    • 10.4.6 Russia
    • 10.4.7 Nordics
    • 10.4.8 Rest of Europe
  • 10.5 Asia Pacific
    • 10.5.1 China
    • 10.5.2 India
    • 10.5.3 Japan
    • 10.5.4 South Korea
    • 10.5.5 ANZ
    • 10.5.6 Southeast Asia
    • 10.5.7 Rest of Asia Pacific
  • 10.6 South America
    • 10.6.1 Brazil
    • 10.6.2 Argentina
    • 10.6.3 Rest of Latin America
  • 10.7 MEA
    • 10.7.1 UAE
    • 10.7.2 South Africa
    • 10.7.3 Saudi Arabia
    • 10.7.4 Rest of MEA

Chapter 11 Company Profiles

  • 11.1 Microsoft Corporation (Power BI)
  • 11.2 Salesforce
  • 11.3 QlikTech International AB (Qlik)
  • 11.4 SAP SE (SAP Analytics Cloud)
  • 11.5 Oracle Corporation
  • 11.6 IBM Corporation (Cognos Analytics)
  • 11.7 SAS Institute Inc.
  • 11.8 Looker (owned by Google/Alphabet Inc.)
  • 11.9 Sisense Inc.
  • 11.10 Domo, Inc.
  • 11.11 TIBCO Software Inc.
  • 11.12 Alteryx, Inc.
  • 11.13 MicroStrategy
  • 11.14 Dundas Data Visualization, Inc.
  • 11.15 ThoughtSpot