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Global Data Visualization Tools Market to reach USD 15.83 billion by the end of 2030.

Global Data Visualization Tools Market Size study & Forecast, by Tool (Standalone and Integrated), by Organization Size (Large Enterprises, Small and Medium-sized Enterprises (SMEs)), by Deployment Mode (On-premises, Cloud), by Business Function (Marketing and Sales, Human Resources, Operations, Finance), by Vertical (BFSI, Telecommunications and IT, Healthcare and Life Sciences, Government, Others) and Regional Analysis, 2023-2030

Product Code: ICTEITS-13220778
Publish Date: 4-08-2023
Page: 200

Global Data Visualization Tools Market is valued at approximately USD 6.58 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 11.6% over the forecast period 2023-2030. Data visualization refers to the graphical representation of information and data. It involves the use of various visual components, such as charts, graphs, and maps, to present data in a visually engaging and comprehensible manner. These tools enable users to visualize and understand trends, patterns, and outliers within the data. They provide a means to effectively analyze and interpret complex data, leading to enhanced insights and informed decision-making. Moreover the demand for data visualization tools is anticipated to be driven by several factors. Firstly, there is a growing need for interactive data views that enable faster decision-making in business operations. Additionally, the advancements in Augmented Reality (AR) and Virtual Reality (VR) technologies are facilitating the interaction of companies with data in immersive 3D formats. These developments are expected to fuel the demand for data visualization tools, as they enhance the visual representation and exploration of data, leading to better insights and informed decision-making.

Data visualization tools are being integrated with emerging technologies such as artificial intelligence (AI) and machine learning (ML) to enhance their capabilities. This integration enables automated data analysis, predictive modeling, and interactive visualizations, further driving the adoption of data visualization tools. As per the International Trade Administration, the global AI industry is experiencing remarkable growth and success. In 2021, the global funding for AI doubled to USD 66.8 billion, demonstrating significant investor confidence in the industry. Notably, a record-breaking number of 65 AI companies achieved valuations exceeding USD 1 billion, marking a substantial increase of 442% compared to the previous year. This data reflects the increasing adoption of AI solutions by companies and governments worldwide, showcasing the expanding global reach and influence of AI technology. The data visualization market is experiencing significant growth driven by increasing digitization trends across various industries have led to a substantial rise in digital data production. Additionally, there is a surge in demand for operation optimization and data analytics solutions. However, the scarcity of a skilled workforce stifles market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Data Visualization Tools Market study includes Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. North America dominated the market in 2022 owing to the dominance of strong technological advancements, particularly in the field of data analytics and visualization. The region is home to many leading technology companies and research institutions that drive innovation in data visualization tools. Asia Pacific is expected to grow significantly during the forecast period, the increasing recognition among companies in significant countries such as China, India, and Japan to extract insights from data silos is anticipated to drive the adoption of data visualization tools. Furthermore, the commercialization of AI and ML technology, resulting in the generation of real-time data, and the demand for further advancements to fully leverage its benefits are expected to boost the adoption of data visualization tools in the region.

Major market player included in this report are:
Alibaba Group Holding Limited
ALTERYX, INC.
Amazon Web Services, Inc.
Domo, Inc.
Dundas Data Visualization, Inc.
GoodData Corporation
International Business Machines Corporation
Klipfolio Inc.
Microsoft Corporation
Oracle Corporation

Recent Developments in the Market:
Ø In February 2020 2022, Alteryx formed a strategic partnership with Tech Data, an APA company specializing in automating analytics, data science, and processes for enhanced business outcomes. The collaboration is focused on granting Tech Data and its partner’s exclusive access to the Alteryx unified platform. By leveraging this platform, businesses can streamline analytics, data science, and process automation, thereby expediting their digital transformation initiatives to deliver improved customer experiences.
Ø In March 2021, Tableau recently unveiled a dedicated region in London, UK, aimed at leveraging its fully hosted Software-as-a-Service (SaaS) solution, Tableau Online, to unlock valuable data insights. This dedicated region mayprovide Tableau’s customers with improved performance and greater options in terms of data locality. The SaaS offering is expected tobe hosted by Amazon Web Services (AWS) infrastructure located in London. By utilizing Tableau Online, the rapidly expanding European customer base can gain instant access to data, analyse it effectively, and share valuable insights through powerful visualizations.

Global Data Visualization Tools Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Tool, Organisation Size, Deployment Mode, Business Function, Vertical, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Tool:
Standalone
Integrated

By Organization Size:
Large Enterprises
Small and Medium-sized Enterprises (SMEs)

By Deployment Mode:
On-premises
Cloud

By Business Function:
Marketing and Sales
Human Resources
Operations
Finance

By Vertical:
BFSI
Telecommunications and IT
Healthcare and Life Sciences
Government
Others

By Region:

North America
U.S.
Canada

Europe
UK
Germany
France
Spain
Italy
ROE

Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC

Latin America
Brazil
Mexico

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Data Visualization Tools Market, by Region, 2020-2030 (USD Billion)
1.2.2. Data Visualization Tools Market, by Tool, 2020-2030 (USD Billion)
1.2.3. Data Visualization Tools Market, by Organisation Size, 2020-2030 (USD Billion)
1.2.4. Data Visualization Tools Market, by Deployment Mode, 2020-2030 (USD Billion)
1.2.5. Data Visualization Tools Market, by Business Function, 2020-2030 (USD Billion)
1.2.6. Data Visualization Tools Market, by Vertical, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Data Visualization Tools Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Data Visualization Tools Market Dynamics
3.1. Data Visualization Tools Market Impact Analysis (2020-2030)
3.1.1. Market Drivers
3.1.1.1. Increasing advancements in Augmented Reality (AR) and Virtual Reality (VR) technologies
3.1.1.2. Growing need for interactive data views
3.1.1.3. Integration With AI and ML
3.1.2. Market Challenges
3.1.2.1. Low-Skilled Workforce
3.1.3. Market Opportunities
3.1.3.1. Increasing digitization trends across various industries
3.1.3.2. Rising demand for operation optimization and data analytics solutions
Chapter 4. Global Data Visualization Tools Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Data Visualization Tools Market, by Tool
5.1. Market Snapshot
5.2. Global Data Visualization Tools Market by Tool, Performance – Potential Analysis
5.3. Global Data Visualization Tools Market Estimates & Forecasts by Tool 2020-2030 (USD Billion)
5.4. Data Visualization Tools Market, Sub Segment Analysis
5.4.1. Standalone
5.4.2. Integrated
Chapter 6. Global Data Visualization Tools Market, by Organisation Size
6.1. Market Snapshot
6.2. Global Data Visualization Tools Market by Organisation Size, Performance – Potential Analysis
6.3. Global Data Visualization Tools Market Estimates & Forecasts by Organisation Size 2020-2030 (USD Billion)
6.4. Data Visualization Tools Market, Sub Segment Analysis
6.4.1. Large Enterprises
6.4.2. Small and Medium-sized Enterprises (SMEs)
Chapter 7. Global Data Visualization Tools Market, by Deployment Mode
7.1. Market Snapshot
7.2. Global Data Visualization Tools Market by Deployment Mode, Performance – Potential Analysis
7.3. Global Data Visualization Tools Market Estimates & Forecasts by Deployment Mode 2020-2030 (USD Billion)
7.4. Data Visualization Tools Market, Sub Segment Analysis
7.4.1. On-premises
7.4.2. Cloud
Chapter 8. Global Data Visualization Tools Market, by Business Function
8.1. Market Snapshot
8.2. Global Data Visualization Tools Market by Business Function, Performance – Potential Analysis
8.3. Global Data Visualization Tools Market Estimates & Forecasts by Business Function 2020-2030 (USD Billion)
8.4. Data Visualization Tools Market, Sub Segment Analysis
8.4.1. Marketing and Sales
8.4.2. Human Resources
8.4.3. Operations
8.4.4. Finance
Chapter 9. Global Data Visualization Tools Market, by Vertical
9.1. Market Snapshot
9.2. Global Data Visualization Tools Market by Vertical, Performance – Potential Analysis
9.3. Global Data Visualization Tools Market Estimates & Forecasts by Vertical 2020-2030 (USD Billion)
9.4. Data Visualization Tools Market, Sub Segment Analysis
9.4.1. BFSI
9.4.2. Telecommunications and IT
9.4.3. Healthcare and Life Sciences
9.4.4. Government
9.4.5. Others
Chapter 10. Global Data Visualization Tools Market, Regional Analysis
10.1. Top Leading Countries
10.2. Top Emerging Countries
10.3. Data Visualization Tools Market, Regional Market Snapshot
10.4. North America Data Visualization Tools Market
10.4.1. U.S. Data Visualization Tools Market
10.4.1.1. Tool breakdown estimates & forecasts, 2020-2030
10.4.1.2. Organisation Size breakdown estimates & forecasts, 2020-2030
10.4.1.3. Deployment Mode breakdown estimates & forecasts, 2020-2030
10.4.1.4. Business Function breakdown estimates & forecasts, 2020-2030
10.4.1.5. Vertical breakdown estimates & forecasts, 2020-2030
10.4.2. Canada Data Visualization Tools Market
10.5. Europe Data Visualization Tools Market Snapshot
10.5.1. U.K. Data Visualization Tools Market
10.5.2. Germany Data Visualization Tools Market
10.5.3. France Data Visualization Tools Market
10.5.4. Spain Data Visualization Tools Market
10.5.5. Italy Data Visualization Tools Market
10.5.6. Rest of Europe Data Visualization Tools Market
10.6. Asia-Pacific Data Visualization Tools Market Snapshot
10.6.1. China Data Visualization Tools Market
10.6.2. India Data Visualization Tools Market
10.6.3. Japan Data Visualization Tools Market
10.6.4. Australia Data Visualization Tools Market
10.6.5. South Korea Data Visualization Tools Market
10.6.6. Rest of Asia Pacific Data Visualization Tools Market
10.7. Latin America Data Visualization Tools Market Snapshot
10.7.1. Brazil Data Visualization Tools Market
10.7.2. Mexico Data Visualization Tools Market
10.8. Middle East & Africa Data Visualization Tools Market
10.8.1. Saudi Arabia Data Visualization Tools Market
10.8.2. South Africa Data Visualization Tools Market
10.8.3. Rest of Middle East & Africa Data Visualization Tools Market

Chapter 11. Competitive Intelligence
11.1. Key Company SWOT Analysis
11.1.1. Company 1
11.1.2. Company 2
11.1.3. Company 3
11.2. Top Market Strategies
11.3. Company Profiles
11.3.1. Alibaba Group Holding Limited
11.3.1.1. Key Information
11.3.1.2. Overview
11.3.1.3. Financial (Subject to Data Availability)
11.3.1.4. Product Summary
11.3.1.5. Recent Developments
11.3.2. ALTERYX, INC.
11.3.3. Amazon Web Services, Inc.
11.3.4. Domo, Inc.
11.3.5. Dundas Data Visualization, Inc.
11.3.6. GoodData Corporation
11.3.7. International Business Machines Corporation
11.3.8. Klipfolio Inc.
11.3.9. Microsoft Corporation
11.3.10. Oracle Corporation
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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