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Data Visualization Tool Market, Opportunity, Growth Drivers, Industry Trend Analysis and Forecast, 2024-2032
Market Report I 2024-07-10 I 270 Pages I Global Market Insights
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.
Report Content
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
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