The Hubway trip history data includes every trip taken through Nov 2013 ? with date, time, origin and destination stations, plus the bike number and more. Data from 2011/07 through 2013/11 The Hubway trip history data Every time a Hubway user checks a bike out from a station, the system records basic information about the trip. Those anonymous data points have been exported into the spreadsheet. Please note, all private data including member names have been removed from these files. What can the data tell us? The CSV file contains data for every Hubway trip from the system launch on July 28th, 2011, through the end of September, 2012. The file contains the data points listed below for each trip. We ve also posed some of the questions you could answer with this dataset - we re sure you.ll have lots more of your own. Duration - Duration of trip. What s the average trip duration for annual members vs. casual users? Start date - Includes start date and time. What are the peak Hubway hours?

TrashVisualization.RR code that merges and analyzes all of the data. SizesOfObjects:Table of sizes of objects we compare in the VR. WPP2017_POP_F01_1_TOT:United Nations, Department of Economic and Social Affairs, Population Division (2017). World Population Prospects: The 2017 Revision, DVD Edition.Population:Cleaned population data from UN data set above taking only 2015.1260352_SupportingFile:Jambeck JR, Geyer R, Wilcox C, Siegler TR, Perryman M, Andrady A, et al. Marine pollution. Plastic waste inputs from land into the ocean. Science. 2015 Feb 13;347(6223):768–71.DetailedSummary-Earth (+1-2):Coastal Cleanup Day Data from 2016-2018 https://www.coastalcleanupdata.org/WCD:World Cleanup Day Data for 2018https://www.letsdoitworld.org/wp-content/uploads/2019/01/WCD_2018_Waste_Report_FINAL_26.01.2019.pdfAnything with the word "Key":A key used for merging country names between data sets.

Explore the intricacies of banana exports by various countries from 1994 to 2005 in this data visualization challenge. The dataset, derived from the United States Food and Agriculture Organization (FAO), presents an opportunity to uncover trends and dynamics in banana trade during this period.

Your challenge is to reimagine the original graph, which suffered from misleading date ranges, obscured country levels, incorrect color coding, and visual overload. Can you create a 2-dimensional line chart that effectively visualizes the export dynamics between countries and years? Your goal is to enhance data comprehension and usability, providing a clearer understanding of the banana export trends.

Are you up for the challenge of reimagining?

Content

The Hubway trip history data includes every trip taken through Nov 2013 with date, time, origin and destination stations, plus the bike number and more.

The CSV file contains data for every Hubway trip from the system launch on July 28th, 2011, through the end of September, 2012. The file contains the data points listed below for each trip.

Duration - Duration of trip. What's the average trip duration for annual members vs. casual users? Start date - Includes start date and time. What are the peak Hubway hours? End date - Includes end date and time. Which days of the week get the most Hubway traffic? Start station - Includes starting station name and number. Which stations are most popular? Which stations make up the most popular origin/destination pairs? End station - Includes ending station name and number. Which stations are the most asymmetric - more trips start there than end there, or vice versa? Are they all at the top of hills? Bike Nr - Includes ID number of bike used for the trip. What does a year in the life of one Hubway bike look like? Member Type - Lists whether user was an Annual or Casual (1 or 3 day) member. Which stations get the most tourist traffic, and which get the most commuters? Zip code - Lists the zip code for annual members only. How far does Hubway really reach? Which community should be the next to get Hubway stations? Birthdate - Lists the year in which annual members were born. Are all of the Hubway rentals at 2:00am by people under 25? Gender - Lists gender for annual members only. Are there different top stations for male vs. female Hubway members?

The global data visualization market, currently valued at $9.84 billion (2025), is experiencing robust growth, projected to expand at a Compound Annual Growth Rate (CAGR) of 10.95% from 2025 to 2033. This expansion is fueled by several key drivers. The increasing volume and complexity of data generated across various sectors necessitate efficient tools for analysis and interpretation. Businesses are increasingly recognizing the importance of data-driven decision-making, leading to significant investments in data visualization solutions. Furthermore, the rising adoption of cloud-based platforms and the growing demand for advanced analytical capabilities, such as predictive analytics and machine learning integration within visualization tools, are significantly contributing to market growth. The market is segmented by organizational department (Executive Management, Marketing, Operations, Finance, Sales, Other), deployment mode (On-premise, Cloud/On-demand), and end-user industry (BFSI, IT & Telecommunication, Retail/E-commerce, Education, Manufacturing, Government, Other). The competitive landscape is characterized by a mix of established players like Salesforce (Tableau), SAP, Microsoft, and Oracle, and smaller, specialized vendors. The competitive intensity is likely to remain high, with vendors focusing on innovation, strategic partnerships, and expanding their product portfolios to cater to specific industry needs. The North American market currently holds a significant share, driven by early adoption of advanced technologies and a robust IT infrastructure. However, the Asia-Pacific region is anticipated to witness the fastest growth due to increasing digitalization across various sectors and rising demand for data-driven insights in rapidly developing economies. While the on-premise deployment model still holds a considerable market share, the cloud/on-demand model is gaining traction owing to its scalability, cost-effectiveness, and accessibility. Factors such as data security concerns, integration complexities, and the need for specialized skills could act as potential restraints on market growth. However, ongoing technological advancements, coupled with increasing awareness of data visualization benefits, are expected to mitigate these challenges and drive market expansion in the coming years. Recent developments include: September 2022: KPI 360, an AI-driven solution that uses real-time data monitoring and prediction to assist manufacturing organizations in seeing various operational data sources through a single, comprehensive industrial intelligence dashboard that sets up in hours, was recently unveiled by SymphonyAI Industrial., January 2022: The most recent version of the IVAAP platform for ubiquitous subsurface visualization and analytics applications was released by INT, a top supplier of data visualization software. IVAAP allows exploring, visualizing, and computing energy data by providing full OSDU Data Platform compatibility. With the new edition, IVAAP's map-based search, data discovery, and data selection are expanded to include 3D seismic volume intersection, 2D seismic overlays, reservoir, and base map widgets for cloud-based visualization of all forms of energy data.. Key drivers for this market are: Cloud Deployment of Data Visualization Solutions, Increasing Need for Quick Decision Making. Potential restraints include: Cloud Deployment of Data Visualization Solutions, Increasing Need for Quick Decision Making. Notable trends are: Retail Segment to Witness Significant Growth.

A collection of Web (HTTP) requests for the month of November 2009 originating from Indiana Univesity.

This dataset was used in the Data Visualization Challenge at WebSci 2014 in Bloomington, Indiana. It is a sample of the larger Indiana University Click dataset.

The global data visualization platform market is experiencing robust growth, driven by the increasing need for businesses to derive actionable insights from massive datasets. The market, currently valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% during the forecast period of 2025-2033. This significant expansion is fueled by several key factors. The rise of big data and the proliferation of connected devices are generating unprecedented volumes of information, making efficient data visualization and analysis crucial for informed decision-making across various industries. Furthermore, the adoption of cloud-based solutions, enhanced data security measures, and the growing demand for real-time data analytics are contributing to the market's upward trajectory. Specific segments like smart city systems and ultimate digital materialization spaces are witnessing particularly high growth due to their reliance on sophisticated data visualization for operational efficiency and strategic planning. Competition is intense, with established players like Tableau, Microsoft, and Zoomdata vying for market share alongside emerging innovative companies. While challenges exist, such as the need for skilled data analysts and the complexity of integrating disparate data sources, the overall market outlook remains positive, promising continued expansion throughout the forecast period. The increasing affordability and accessibility of data visualization tools are further democratizing access to sophisticated analytics, extending the market’s reach beyond large enterprises to smaller businesses and organizations. The market segmentation reveals substantial opportunities across diverse application areas. Smart city systems leverage data visualization for optimizing urban infrastructure management, while the burgeoning ultimate digital materialization space utilizes it for creating immersive and interactive experiences. The preference for specific analysis types varies across industries, with flow analysis, mixed data analysis, and database analysis all holding significant market shares. North America currently holds a dominant position, but regions like Asia-Pacific are expected to show substantial growth due to rising digitalization and technological advancements. This growth will be largely driven by the increasing adoption of data-driven decision-making practices in various sectors including finance, healthcare, and manufacturing. The market's future success depends on addressing the ongoing need for user-friendly interfaces, enhanced data security protocols, and continuous innovation in visualization techniques.

Activity Title: "Chart the Story: Infographic Challenge" (This activity is prepared for students to practice data visualization)

Description: Each group chooses a theme (e.g., sports stats, movies, weather) and creates a multi-plot visual infographic using: • Histograms • Proper legends, color schemes • Subplots for comparison • Informative annotations and custom styles

Outcome: Poster or presentation gallery walk where peers rate clarity and visual storytelling.

The data visualization and analysis platform market has witnessed steady growth over the past few years and is projected to continue its upward trajectory in the coming years. In 2025, the market was valued at USD 6580 million, and it is expected to reach USD 15420 million by 2033, exhibiting a CAGR of 8.5%. This growth can be attributed to the increasing adoption of data visualization tools by businesses looking to gain insights from their data and make informed decisions. The market for data visualization and analysis platforms is segmented by application, type, and geography. By application, the market is divided into enterprise and government. By type, the market is segmented into area & size visualization, color visualization, graphical visualization, geospatial visualization, and conceptual visualization. Geographically, the market is divided into North America, South America, Europe, the Middle East & Africa, and Asia Pacific. North America is the largest market for data visualization and analysis platforms, followed by Europe and Asia Pacific. The increasing adoption of data visualization tools by businesses in these regions is driving the growth of the market.

The Business Data Visualization Software market is experiencing robust growth, driven by the increasing need for data-driven decision-making across diverse industries. The market size in 2025 is estimated at $25 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This substantial growth is fueled by several key factors. The proliferation of big data and the subsequent need for effective data analysis and interpretation are major drivers. Businesses, both large enterprises and SMEs, are increasingly adopting data visualization tools to gain actionable insights from complex datasets, improving operational efficiency and strategic planning. Furthermore, technological advancements, such as the rise of cloud-based solutions and the integration of artificial intelligence (AI) and machine learning (ML) capabilities into visualization platforms, are enhancing the market's capabilities and accessibility. The market segmentation reveals significant demand across various operating systems (Linux, Windows, Mac) and business types, with large enterprises leading the adoption curve due to their substantial data volumes and analytical needs. The competitive landscape is dynamic, with established players like Microsoft, Tableau (Salesforce), and IBM alongside emerging innovative companies continuously striving to improve user experience and analytical functionalities. The geographic distribution shows significant growth potential across all regions, particularly in rapidly developing economies in Asia-Pacific and the Middle East & Africa, where digital transformation is rapidly accelerating. The market's continued expansion is projected to be influenced by several ongoing trends. The increasing adoption of self-service BI tools is empowering business users to perform their own data analysis, reducing dependency on IT departments. Moreover, the growing demand for real-time data visualization and interactive dashboards is enabling quicker responses to market changes and improved operational agility. However, challenges remain, including the need for skilled data analysts to interpret visualizations effectively and concerns related to data security and privacy. The high cost of implementing sophisticated data visualization solutions can also act as a restraint, particularly for SMEs. Despite these challenges, the long-term outlook for the Business Data Visualization Software market remains extremely positive, promising continued significant growth over the next decade. The market's evolution will be marked by further technological innovation, an expanding range of applications across industries, and heightened competition amongst providers.

The global Data Visualization Platform market is poised for substantial expansion, projected to reach an estimated $65,000 million by 2025 and exhibiting a robust Compound Annual Growth Rate (CAGR) of 12% through 2033. This impressive growth is largely propelled by the escalating demand for actionable insights from vast datasets across diverse industries. Key drivers include the burgeoning adoption of smart city initiatives, where real-time data analysis is crucial for optimizing urban infrastructure and services, and the increasing focus on ultimate digital materialization spaces, necessitating sophisticated tools for understanding complex digital environments. The platform's ability to transform raw data into understandable visual formats empowers organizations to make informed decisions, identify trends, and detect anomalies with greater efficiency, thereby driving its widespread integration into business intelligence strategies. The market segmentation reveals a strong preference for Flow Analysis and Mixed Data Analysis applications, reflecting the need to understand dynamic processes and integrate disparate data sources for comprehensive insights. While the market is characterized by its dynamic nature, with established players like Microsoft and Tableau leading the charge, emerging technologies and innovative startups are continuously shaping the competitive landscape. The dominant presence of North America, particularly the United States, in terms of market share underscores its advanced technological infrastructure and early adoption of data-driven strategies. However, the Asia Pacific region is anticipated to witness significant growth, fueled by rapid digitalization and increasing investments in data analytics solutions in countries like China and India. Despite the promising outlook, challenges such as data security concerns and the need for skilled data professionals could potentially temper the market's full potential, though these are being actively addressed through technological advancements and training initiatives. This comprehensive report delves into the dynamic and rapidly evolving Data Visualization Platform market, projecting its trajectory from a historical baseline in 2025 to a significant forecast period extending to 2033. With a particular focus on the Study Period of 2019-2033 and the Base Year of 2025, this analysis offers unparalleled insights into market dynamics, technological advancements, and strategic opportunities.

Ethio Telecom and Safaricom have comparable prices for most telecommunication services being offered.

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Data Visualization Tools Market Size 2025-2029

The data visualization tools market size is forecast to increase by USD 7.95 billion at a CAGR of 11.2% between 2024 and 2029.

The market is experiencing significant growth due to the increasing demand for business intelligence and AI-powered insights. Companies are recognizing the value of transforming complex data into easily digestible visual representations to inform strategic decision-making. However, this market faces challenges as data complexity and massive data volumes continue to escalate. Organizations must invest in advanced data visualization tools to effectively manage and analyze their data to gain a competitive edge. The ability to automate data visualization processes and integrate AI capabilities will be crucial for companies to overcome the challenges posed by data complexity and volume. By doing so, they can streamline their business operations, enhance data-driven insights, and ultimately drive growth in their respective industries.

What will be the Size of the Data Visualization Tools Market during the forecast period?

Request Free SampleIn today's data-driven business landscape, the market continues to evolve, integrating advanced capabilities to support various sectors in making informed decisions. Data storytelling and preparation are crucial elements, enabling organizations to effectively communicate complex data insights. Real-time data visualization ensures agility, while data security safeguards sensitive information. Data dashboards facilitate data exploration and discovery, offering data-driven finance, strategy, and customer experience. Big data visualization tackles complex datasets, enabling data-driven decision making and innovation. Data blending and filtering streamline data integration and analysis. Data visualization software supports data transformation, cleaning, and aggregation, enhancing data-driven operations and healthcare. On-premises and cloud-based solutions cater to diverse business needs. Data governance, ethics, and literacy are integral components, ensuring data-driven product development, government, and education adhere to best practices. Natural language processing, machine learning, and visual analytics further enrich data-driven insights, enabling interactive charts and data reporting. Data connectivity and data-driven sales fuel business intelligence and marketing, while data discovery and data wrangling simplify data exploration and preparation. The market's continuous dynamism underscores the importance of data culture, data-driven innovation, and data-driven HR, as organizations strive to leverage data to gain a competitive edge.

How is this Data Visualization Tools Industry segmented?

The data visualization tools industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. DeploymentOn-premisesCloudCustomer TypeLarge enterprisesSMEsComponentSoftwareServicesApplicationHuman resourcesFinanceOthersEnd-userBFSIIT and telecommunicationHealthcareRetailOthersGeographyNorth AmericaUSMexicoEuropeFranceGermanyUKMiddle East and AfricaUAEAPACAustraliaChinaIndiaJapanSouth KoreaSouth AmericaBrazilRest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.The market has experienced notable expansion as businesses across diverse sectors acknowledge the significance of data analysis and representation to uncover valuable insights and inform strategic decisions. Data visualization plays a pivotal role in this domain. On-premises deployment, which involves implementing data visualization tools within an organization's physical infrastructure or dedicated data centers, is a popular choice. This approach offers organizations greater control over their data, ensuring data security, privacy, and adherence to data governance policies. It caters to industries dealing with sensitive data, subject to regulatory requirements, or having stringent security protocols that prohibit cloud-based solutions. Data storytelling, data preparation, data-driven product development, data-driven government, real-time data visualization, data security, data dashboards, data-driven finance, data-driven strategy, big data visualization, data-driven decision making, data blending, data filtering, data visualization software, data exploration, data-driven insights, data-driven customer experience, data mapping, data culture, data cleaning, data-driven operations, data aggregation, data transformation, data-driven healthcare, on-premises data visualization, data governance, data ethics, data discovery, natural language processing, data reporting, data visualization platforms, data-driven innovation, data wrangling, data-driven sales, data connectivit

The Business Data Visualization Software market is experiencing robust growth, driven by the increasing need for businesses of all sizes to derive actionable insights from their data. The market, valued at approximately $25 billion in 2025 (estimated based on typical market growth rates and reported market sizes in similar reports), is projected to maintain a healthy Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This expansion is fueled by several key factors. The proliferation of big data necessitates efficient visualization tools for effective analysis and decision-making. Furthermore, the growing adoption of cloud-based solutions provides scalability and accessibility, lowering the barrier to entry for SMEs. The demand for advanced analytics capabilities, such as predictive modeling and real-time dashboards, is also significantly boosting market growth. Competition is fierce amongst established players like Microsoft, Tableau (Salesforce), and IBM, and newer entrants alike who are constantly innovating to provide more user-friendly and powerful visualization tools. The market is segmented by application (large enterprises and SMEs) and software type (Linux, Windows, Mac), reflecting the diverse needs of different users and operating systems. North America currently holds the largest market share, followed by Europe and Asia Pacific, with growth expected across all regions as organizations in emerging markets embrace data-driven decision-making. However, factors such as the high initial investment cost of implementing sophisticated software and the need for skilled professionals to effectively utilize these tools can act as restraints on market growth. The market's future trajectory will be shaped by several trends. The increasing integration of Artificial Intelligence (AI) and Machine Learning (ML) into data visualization platforms will enable more insightful and automated analysis. Furthermore, the focus on improving user experience and simplifying complex data visualizations will broaden adoption. The growth of mobile-friendly data visualization applications will also contribute to market expansion, enabling access to data insights anytime, anywhere. The development of open-source alternatives and the continued consolidation within the industry through mergers and acquisitions will further influence the competitive landscape. This dynamic market offers significant opportunities for businesses that can effectively address the evolving needs of data-driven organizations.

The Knowledge Graph Visualization Tool market is experiencing robust growth, driven by the increasing need for organizations to effectively manage and understand complex data relationships. The market's expansion is fueled by the rising adoption of big data analytics, the need for improved data visualization capabilities, and the growing demand for intuitive tools that simplify complex information. Businesses across various sectors, including healthcare, finance, and technology, are leveraging these tools to gain actionable insights from their data, improve decision-making processes, and enhance operational efficiency. The market is segmented by application (e.g., business intelligence, data discovery, risk management) and type (e.g., cloud-based, on-premise). While the cloud-based segment currently dominates, the on-premise segment is expected to witness steady growth due to security and data control concerns in certain industries. Competition is relatively high, with established players and emerging startups vying for market share. The market is geographically diverse, with North America and Europe currently holding significant shares, while the Asia-Pacific region is predicted to show the fastest growth due to increasing digitalization and technological advancements. The forecast period (2025-2033) indicates continued expansion, with a projected Compound Annual Growth Rate (CAGR) that, assuming a conservative estimate based on current market trends and technological advancements, sits around 15%. This growth will be influenced by factors such as the continuous development of advanced visualization techniques, increased integration with artificial intelligence (AI) and machine learning (ML) algorithms, and the growing demand for real-time data analysis. However, challenges remain, including the need for user-friendly interfaces, concerns about data privacy and security, and the high cost of implementation for some organizations, particularly smaller businesses. Nevertheless, the overall market outlook for Knowledge Graph Visualization Tools is positive, presenting significant opportunities for vendors who can successfully address these challenges and cater to the evolving needs of their customers.

AI in Data Visualization Market Outlook

According to our latest research, the global AI in Data Visualization market size reached $3.8 billion in 2024, demonstrating robust growth as organizations increasingly leverage artificial intelligence to enhance data-driven decision-making. The market is forecasted to expand at a CAGR of 21.1% from 2025 to 2033, reaching an estimated $26.6 billion by 2033. This exceptional growth is fueled by the rising demand for actionable insights, the proliferation of big data, and the integration of AI technologies to automate and enrich data visualization processes across industries.

A primary growth factor in the AI in Data Visualization market is the exponential increase in data generation from various sources, including IoT devices, social media platforms, and enterprise systems. Organizations face significant challenges in interpreting complex datasets, and AI-powered visualization tools offer a solution by transforming raw data into intuitive, interactive visual formats. These solutions enable businesses to quickly identify trends, patterns, and anomalies, thereby improving operational efficiency and strategic planning. The integration of AI capabilities such as natural language processing, machine learning, and automated analytics further enhances the value proposition, allowing users to generate dynamic visualizations with minimal technical expertise.

Another significant driver is the growing adoption of business intelligence and analytics platforms across diverse sectors such as BFSI, healthcare, retail, and manufacturing. As competition intensifies and consumer expectations evolve, enterprises are prioritizing data-driven decision-making to gain a competitive edge. AI in data visualization solutions empower users at all organizational levels to interact with data in real-time, uncover hidden insights, and make informed decisions rapidly. The shift towards self-service analytics, where non-technical users can generate their own reports and dashboards, is accelerating the uptake of AI-driven visualization tools. This democratization of data access is expected to continue propelling the market forward.

The rapid advancements in cloud computing and the increasing adoption of cloud-based analytics platforms are also contributing to the growth of the AI in Data Visualization market. Cloud deployment offers scalability, flexibility, and cost-effectiveness, enabling organizations to process and visualize vast volumes of data without substantial infrastructure investments. Additionally, cloud-based solutions facilitate seamless integration with other enterprise applications and data sources, supporting real-time analytics and collaboration across geographically dispersed teams. As more organizations transition to hybrid and multi-cloud environments, the demand for AI-powered visualization tools that can operate efficiently in these settings is poised to surge.

From a regional perspective, North America currently dominates the AI in Data Visualization market due to the presence of leading technology providers, high digital adoption rates, and significant investments in AI and analytics. However, the Asia Pacific region is anticipated to witness the fastest growth over the forecast period, driven by rapid digitalization, expanding IT infrastructure, and increasing awareness of the benefits of AI-driven data visualization. Europe is also expected to see substantial adoption, particularly in industries such as finance, healthcare, and manufacturing, where regulatory compliance and data-driven strategies are critical. Meanwhile, emerging markets in Latin America and the Middle East & Africa are gradually embracing these technologies as digital transformation initiatives gain momentum.

Component Analysis

The Component segment of the AI in Data Visualization market is bifurcated into Software and Services, each playing a pivotal role in shaping the industry landscape. Software solutions encompass a wide array of platforms and tools that leverage AI algorithms to automate, enhance, and personalize data visualization. These solutions are designed to cater to varying business needs, from simple dashboard creation to advanced predictive analytics and real-time data exploration. The software segment is witnessing rapid innovation, with vendors continuously integrating new AI capabilities such as natural language queries, automated anomaly detection, and adaptive visualization techniques. This has significantly reduced the learning

The global visual data analysis tool market is experiencing robust growth, driven by the increasing need for businesses to extract actionable insights from ever-expanding datasets. The market, currently valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 18% from 2025 to 2033. This significant expansion is fueled by several key factors. The proliferation of big data, coupled with the rising adoption of cloud-based solutions and advanced analytics techniques, empowers organizations across various sectors – including banking, manufacturing, and government – to make data-driven decisions. Furthermore, the continuous innovation in visualization technologies, offering more intuitive and user-friendly interfaces, is broadening accessibility and accelerating market penetration. The growing demand for real-time data analysis and predictive modeling further contributes to the market's upward trajectory. Despite the significant growth potential, the market faces certain challenges. High implementation costs, particularly for on-premises solutions, and the need for specialized skills to effectively utilize these tools can act as restraints for smaller businesses. However, the emergence of affordable cloud-based alternatives and increased availability of training programs are gradually mitigating these barriers. The market segmentation reveals a clear preference towards cloud-based solutions due to their scalability, flexibility, and cost-effectiveness. The banking and finance sectors, followed by manufacturing and consultancy, represent the largest market segments. Key players like Tableau, Microsoft, and Salesforce are driving innovation and shaping market competition through continuous product enhancements and strategic acquisitions. The geographical landscape displays strong growth potential across North America and Europe, while Asia-Pacific is expected to emerge as a significant market in the coming years.

Graph drawing, involving the automatic layout of graphs, is vital for clear data visualization and interpretation but poses challenges due to the optimization of a multi-metric objective function, an area where current search-based methods seek improvement. In this paper, we investigate the performance of Jaya algorithm for automatic graph layout with straight lines. Jaya algorithm has not been previously used in the field of graph drawing. Unlike most population-based methods, Jaya algorithm is a parameter-less algorithm in that it requires no algorithm-specific control parameters and only population size and number of iterations need to be specified, which makes it easy for researchers to apply in the field. To improve Jaya algorithm’s performance, we applied Latin Hypercube Sampling to initialize the population of individuals so that they widely cover the search space. We developed a visualization tool that simplifies the integration of search methods, allowing for easy performance testing of algorithms on graphs with weighted aesthetic metrics. We benchmarked the Jaya algorithm and its enhanced version against Hill Climbing and Simulated Annealing, commonly used graph-drawing search algorithms which have a limited number of parameters, to demonstrate Jaya algorithm’s effectiveness in the field. We conducted experiments on synthetic datasets with varying numbers of nodes and edges using the Erdős–Rényi model and real-world graph datasets and evaluated the quality of the generated layouts, and the performance of the methods based on number of function evaluations. We also conducted a scalability experiment on Jaya algorithm to evaluate its ability to handle large-scale graphs. Our results showed that Jaya algorithm significantly outperforms Hill Climbing and Simulated Annealing in terms of the quality of the generated graph layouts and the speed at which the layouts were produced. Using improved population sampling generated better layouts compared to the original Jaya algorithm using the same number of function evaluations. Moreover, Jaya algorithm was able to draw layouts for graphs with 500 nodes in a reasonable time.

Understanding and effectively using visual representations is important to learning science, technology, engineering, and mathematics (STEM). Various techniques to visualize information, such as two- and three-dimensional graphs, diagrams, and models, not only expand our capacity to work with different types of information but also actively recruit our visual–spatial thinking. Data physicalization is emerging as a beginner-friendly approach to construct information visualization. Mapping intangible data onto tangible artifacts that possess visual, spatial, and physical properties demands an interplay of spatial thinking and hands-on manipulation. Much existing literature has explored using formatted infographics to aid learning and spatial thinking development. However, there is limited insight into how children may leverage their spatial thinking to create information visualizations, particularly tangible ones. This case study documented the data physicalization activities organized in two design classrooms of an international school in Netherlands, with 37 children aged 11–12. Seven themes relevant to spatial thinking were identified from multimodal evidence gathered from the data physicalization artifacts, classroom videos and recordings of children’s making process, and semi-structured interviews with children. Our findings suggested that these children generated various ideas to create visual–spatial forms for data with the materials at hand, such as mapping quantities to tangible materials of different sizes, using spatial ordinal arrangement, and unitizing materials to set visual parameters. Meanwhile, they evaluated and adjusted the visual–spatial properties of these materials according to the numerical data they had, crafting feasibility, and others’ spatial perspectives. What was particularly interesting in our findings was children’s iteration on their visual–spatial understandings of the intangible numerical values and the tangible materials throughout the embodied making processes. Overall, this study illustrated the different types of spatial thinking children applied to create their data physicalizations and offered insights into how embodied experiences accompanying the open-ended visualization challenge allowed children to explore and construct spatial understandings.

The market for data visualization software for large screens is experiencing robust growth, driven by the increasing need for effective communication of complex data in command centers, exhibition halls, and corporate settings. The global market, estimated at $2.5 billion in 2025, is projected to expand significantly over the next decade, fueled by several key factors. The adoption of cloud-based solutions is accelerating, offering scalability and accessibility advantages over on-premise deployments. Furthermore, the rising demand for real-time monitoring and data-driven decision-making across diverse sectors such as government, defense, and corporate businesses is propelling market expansion. The trend towards interactive and immersive visualization experiences, utilizing advanced technologies like augmented and virtual reality, further contributes to the growth trajectory. While the initial investment in hardware and software can be a restraint for some organizations, the long-term benefits in operational efficiency and improved decision-making are outweighing this concern. The market segmentation, comprising application-based categories (real-time monitoring, strategic command, etc.) and deployment types (cloud and on-premise), provides opportunities for tailored solutions and caters to the diverse needs of end-users. Competition is fierce, with established players like Tableau and Google competing alongside specialized providers such as FineReport and Sisense. Geographic expansion, particularly in rapidly developing economies of Asia-Pacific, is expected to contribute to the overall market growth in the coming years. The competitive landscape features both established players with extensive product portfolios and niche providers focusing on specific industry applications. Strategic partnerships, product innovation, and mergers and acquisitions are anticipated to shape the market dynamics. The future growth will be significantly influenced by factors such as technological advancements in data visualization techniques, increasing data volumes from IoT devices, and the growing adoption of AI-powered analytics to provide more insightful and actionable visualizations. The market’s evolution is likely to involve greater integration with other business intelligence tools and a shift towards more intuitive and user-friendly interfaces to improve accessibility and data literacy across organizations. A sustained focus on cybersecurity and data privacy will also play a crucial role in shaping the market's trajectory in the long term.