Global Visual Data Discovery market size is expected to reach $27.59 billion by 2029 at 17.3%, segmented as by software, standalone software, integrated software

Visual Data Discovery Market Outlook

The global visual data discovery market size was valued at approximately USD 9.1 billion in 2023 and is projected to reach USD 22.7 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.8%. This robust growth is driven by an increasing demand for tools that allow businesses to better interpret and utilize vast amounts of data. The surge in big data analytics and the need for real-time insights are significant factors propelling market expansion. Organizations are increasingly recognizing the competitive advantage offered by visual data discovery solutions, which facilitate enhanced decision-making processes through more intuitive data interpretation.

The growth of the visual data discovery market is primarily fueled by the escalating data volumes generated across various industry verticals. As businesses increasingly rely on data-driven strategies, the need for sophisticated tools that can simplify complex data sets into easily understandable visuals has surged. The ability to visualize data in a more intuitive manner aids in faster and more accurate decision-making, thereby improving business operations and outcomes. Additionally, the rising adoption of advanced technologies such as artificial intelligence and machine learning has enhanced the capabilities of visual data discovery tools, allowing for more precise data analysis and prediction models. The integration of these technologies into visual analytics solutions is providing businesses with a more comprehensive view of their data, thereby driving market growth.

Moreover, the trend towards digital transformation across industries is a significant catalyst for the expansion of the visual data discovery market. Companies are increasingly investing in digital tools to streamline their operations and gain insights into their business processes. Visual data discovery solutions are integral to these digital initiatives as they provide a powerful means to interpret and utilize data effectively. The increasing adoption of cloud computing is another factor contributing to the market's growth. Cloud-based visual data discovery solutions offer scalability, ease of access, and cost-efficiency, making them an attractive option for businesses of all sizes. This shift towards cloud-based services is expected to continue, further propelling the market forward.

The market's growth is also supported by the rising demand for self-service business intelligence tools. Organizations are looking for solutions that empower their employees to access and analyze data without relying heavily on IT departments. Visual data discovery tools that offer user-friendly interfaces and interactive dashboards are becoming increasingly popular in this regard. They allow employees across different departments to gain insights from data quickly and independently, fostering a data-driven culture within the organization. This democratization of data is playing a crucial role in the market's expansion, as it aligns with the broader trend towards decentralized decision-making in businesses.

Regionally, North America is anticipated to hold the largest share of the visual data discovery market. The presence of numerous key players and the rapid adoption of advanced technologies across various industries contribute to this dominance. The region's established IT infrastructure and high investment in research and development further propel market growth. Meanwhile, the Asia Pacific region is expected to witness the fastest growth during the forecast period, driven by increasing digitalization and the growing emphasis on data-driven decision-making in emerging economies. The rapid expansion of industries such as retail, healthcare, and BFSI in countries like China and India is creating significant opportunities for market players in this region.

Component Analysis

The component segment of the visual data discovery market can be broadly categorized into software and services. Software tools form the backbone of visual data discovery solutions, providing the necessary platforms and applications for data analysis and visualization. These software solutions are designed to handle large volumes of data and present them in a visually appealing and easy-to-understand format. The demand for advanced software tools is driven by their ability to provide real-time insights and enhance data-driven decision-making. Companies are increasingly investing in software that offers comprehensive analytics capabilities, including predictive analytics and interactive dashboards, which are essential for gaining competitive advantages.

The global visual data discovery market is experiencing robust growth, driven by the increasing need for businesses to derive actionable insights from complex datasets. The market's expansion is fueled by several key factors: the proliferation of big data, the rising adoption of cloud-based analytics solutions, the growing demand for self-service analytics tools empowering business users, and the increasing focus on data-driven decision-making across various industries. The BFSI, healthcare, and telecom sectors are major adopters, leveraging visual data discovery to improve operational efficiency, enhance customer experience, and gain a competitive edge. The on-premises deployment model remains significant, but cloud-based solutions are witnessing faster adoption due to their scalability, cost-effectiveness, and accessibility. Competition is intense, with established players like IBM, SAS, and Oracle alongside agile startups continuously innovating and expanding their product offerings. While the market faces challenges such as data security concerns and the need for skilled professionals to effectively utilize these tools, the overall growth trajectory remains positive, projected to continue at a significant Compound Annual Growth Rate (CAGR) throughout the forecast period. The market segmentation reveals a diverse landscape. While North America currently holds a dominant market share, regions like Asia-Pacific are experiencing rapid growth due to increasing digitalization and investments in data analytics infrastructure. The "Others" segment within application-based categorization suggests emerging sectors are rapidly adopting visual data discovery, indicating a broad and expanding market. The continuous evolution of visual data discovery tools, integrating advanced analytics like AI and machine learning, is set to further enhance their capabilities and widen their application across industries. This convergence of technology and business need will ensure the market's continued expansion and diversification in the coming years. Future growth will likely be shaped by factors such as advancements in data visualization techniques, the integration of augmented and virtual reality, and the increasing focus on ethical considerations surrounding data privacy and security.

Global Visual Data Discovery is segmented by Application (Enterprises, Finance, Healthcare, Retail, Manufacturing), Type (Data Visualization, Analytics Tools, Dashboards, Interactive Reports, Data Mining) and Geography(North America, LATAM, West Europe, Central & Eastern Europe, Northern Europe, Southern Europe, East Asia, Southeast Asia, South Asia, Central Asia, Oceania, MEA)

Data Discovery Tools Market Outlook

The global data discovery tools market size was valued at approximately USD 7.3 billion in 2023 and is expected to reach USD 17.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 10.1% during the forecast period. The primary growth factors driving this market include the increasing importance of data-driven decision-making, the rising adoption of cloud-based solutions, and the growing need for business intelligence to enhance organizational efficiency.

Data discovery tools are becoming increasingly essential in today's business landscape due to the exponential growth of data. Organizations are generating massive volumes of data daily, and the ability to analyze and extract meaningful insights from this data is crucial for maintaining competitive advantage. The shift towards data democratization, where data analysis capabilities are extended beyond IT departments to business users, is significantly fueling market growth. Furthermore, the ongoing advancements in artificial intelligence and machine learning are enhancing the capabilities of data discovery tools, making them more intuitive and user-friendly.

Another significant growth factor is the increasing adoption of cloud-based solutions. Cloud deployment offers numerous advantages such as scalability, cost-efficiency, and ease of access, making it an attractive option for organizations of all sizes. The flexibility of cloud-based data discovery tools allows businesses to scale resources according to their needs, reducing the total cost of ownership. Moreover, cloud solutions provide seamless integration with other business applications, enabling organizations to leverage their existing IT infrastructure effectively.

The need for regulatory compliance and data governance is also driving the adoption of data discovery tools. Industries such as BFSI (Banking, Financial Services, and Insurance) and healthcare are heavily regulated, requiring stringent data management practices to ensure compliance with standards such as GDPR, HIPAA, and others. Data discovery tools help organizations in these sectors to maintain accurate data records, monitor data access, and ensure that data handling practices meet regulatory requirements. As a result, the demand for these tools is expected to grow significantly in regulated industries.

In the realm of data analysis, Data Visualization Tools play a pivotal role in transforming complex datasets into comprehensible visual formats. These tools enable users to create interactive and visually appealing charts, graphs, and dashboards that facilitate easier interpretation of data insights. By leveraging data visualization, organizations can identify trends, patterns, and outliers that might not be immediately apparent in raw data. This capability is crucial for making informed decisions quickly, as it allows stakeholders to grasp the implications of data analysis at a glance. As the demand for data-driven decision-making grows, the integration of advanced data visualization tools into data discovery solutions is becoming increasingly essential for businesses aiming to stay competitive.

From a regional perspective, North America currently holds the largest market share due to the high concentration of technology-driven companies and early adoption of advanced data analytics solutions. The presence of major market players and significant investments in research and development also contribute to the region's dominance. However, Asia Pacific is expected to witness the highest growth rate during the forecast period. The rapid digital transformation in countries like China and India, along with increasing investments in IT infrastructure, are key factors driving market growth in this region.

Component Analysis

The data discovery tools market can be segmented by component into software and services. The software segment comprises various data discovery software solutions that enable organizations to collate, analyze, and visualize data. These tools are designed to handle large volumes of data, offering features such as data profiling, data cleansing, and advanced analytics. The software segment is expected to witness substantial growth due to the increasing need for real-time data analysis and the integration of artificial intelligence and machine learning capabilities into data discovery tools.

On the other hand, the services segment includes professional and

[Keywords] Market include Microsoft, Datameer, Platfora, Tibco Software Inc., Datawatch Corporation

Data Discovery and Visualization Platform Market Outlook

The global data discovery and visualization platform market size is projected to grow substantially, from an estimated USD 9.5 billion in 2023 to USD 22.1 billion by 2032, exhibiting a robust compound annual growth rate (CAGR) of 9.4% during the forecast period. This significant growth trajectory is largely driven by the increasing need for organizations to analyze large volumes of data swiftly and effectively to gain actionable insights, thus making informed business decisions. As businesses continue to embrace digital transformation, the demand for sophisticated data analytics and visualization tools has seen a marked increase, fostering innovation and strategic growth in this market.

One of the primary growth factors contributing to the expansion of the data discovery and visualization platform market is the exponential increase in data generation across various industries. With the advent of technologies such as the Internet of Things (IoT), artificial intelligence (AI), and machine learning (ML), the volume of data being generated is unprecedented. This data holds immense value, but only if it can be effectively analyzed and understood. Data discovery and visualization platforms enable organizations to sift through complex data sets, identify patterns, and derive insights that can be pivotal in strategic decision-making. Moreover, the growing awareness of the benefits of data-driven decision-making among businesses is fueling the demand for these platforms.

Another pivotal growth driver for this market is the increased adoption of cloud-based solutions. Cloud computing offers scalability, flexibility, and cost-effectiveness, making it an attractive option for businesses of all sizes. Cloud-based data discovery and visualization platforms allow organizations to access and analyze data in real-time from anywhere, enhancing operational efficiency. The cloud deployment mode also facilitates seamless collaboration across teams and departments, further driving its adoption. Additionally, the integration of advanced technologies such as AI and ML into these platforms is enhancing their capabilities, allowing for more sophisticated data analysis and visualization, thereby contributing to market growth.

The rising need for regulatory compliance and data security is also propelling the growth of the data discovery and visualization platform market. In an era where data breaches and cyber threats are becoming increasingly common, organizations are more vigilant about data security and privacy. These platforms not only help in discovering data but also in ensuring that it is stored, processed, and analyzed in compliance with regulatory standards. This is particularly crucial for industries such as healthcare and BFSI, where data privacy is paramount. The ability of these platforms to provide secure and compliant data management solutions is a significant factor driving their adoption across various sectors.

The role of Data Visualization Software in this market cannot be overstated. As organizations grapple with increasingly complex data sets, the need for intuitive and effective visualization tools becomes paramount. Data Visualization Software transforms raw data into visual formats that are easy to understand and interpret, allowing decision-makers to quickly grasp insights and trends. This capability is crucial for businesses aiming to stay competitive in a fast-paced digital landscape. By providing clear and actionable visual representations of data, these software solutions empower organizations to make informed decisions, optimize strategies, and drive growth. The integration of advanced features such as interactive dashboards and real-time data updates further enhances the utility of these tools, making them indispensable in the data-driven world.

Regionally, North America holds a dominant position in the data discovery and visualization platform market, primarily due to the presence of a large number of technological giants and the region's early adoption of cutting-edge technologies. The growing investment in big data analytics solutions and the increasing focus on data-driven decision-making are key factors driving market growth in this region. Following closely is the Asia Pacific region, which is witnessing rapid growth due to the increasing digital transformation initiatives in countries like China and India. The growing adoption of cloud computing and the rise of small and medium enterprises are further contributing to the market expansion in this region.

The global visual analytics tools market is experiencing robust growth, driven by the increasing need for data-driven decision-making across diverse industries. The market's expansion is fueled by several key factors, including the exponential growth of data volumes, the rising adoption of cloud-based solutions, and the increasing demand for self-service analytics capabilities. Businesses are increasingly relying on visual analytics tools to gain actionable insights from complex datasets, improve operational efficiency, and gain a competitive edge. This market is characterized by a diverse range of vendors, including established players like IBM and newer entrants offering innovative solutions. The competitive landscape is dynamic, with continuous innovation in areas such as artificial intelligence (AI) integration, advanced visualization techniques, and enhanced user experience. We estimate the market size in 2025 to be approximately $15 billion, based on industry reports and considering a moderate growth trajectory. A Compound Annual Growth Rate (CAGR) of 12% is projected for the forecast period (2025-2033), indicating substantial market expansion. Key segments within the market include industry-specific solutions (e.g., healthcare, finance, retail), deployment models (cloud, on-premise), and functionality (dashboarding, data discovery, predictive analytics). While the market faces restraints such as the need for skilled data analysts and the complexity of implementing and integrating visual analytics solutions, the overall growth outlook remains positive. The increasing accessibility of user-friendly tools and the declining cost of cloud-based services are mitigating these challenges and driving wider adoption. The North American market currently holds a significant share, followed by Europe and Asia-Pacific, with the latter expected to witness significant growth in the coming years. Companies such as Cluvio, Answerdock, BOARD, Dundas BI, IBM, Sisense, Birst, Domo, Looker, Yellowfin, InetSoft, and Intellicus are key players shaping the market's evolution through continuous product development and strategic partnerships.

Enterprise Data Visualization Platform Market Outlook

The global market size of the Enterprise Data Visualization Platform market is poised to grow significantly from $X billion in 2023 to an estimated $Y billion by 2032, at a compound annual growth rate (CAGR) of Z%. This remarkable growth is driven by the increasing demand for data-driven decision-making across various industries, a surge in the use of big data analytics, and the rising popularity of business intelligence tools. The market size is expected to expand due to the need for organizations to visualize complex data in a comprehensible format to drive strategic business decisions.

One of the core growth factors for the Enterprise Data Visualization Platform market is the exponential increase in data generation from various sources, including social media, IoT devices, and enterprise applications. Organizations across the globe are struggling to manage and interpret this vast amount of data. Data visualization platforms enable businesses to transform raw data into meaningful insights through graphical representations such as charts, graphs, dashboards, and maps. This capability is essential for gaining a competitive edge, enhancing operational efficiency, and making informed decisions.

Another significant growth factor is the rising adoption of business intelligence (BI) tools and big data analytics. Businesses are increasingly recognizing the value of leveraging data to understand market trends, customer preferences, and operational performance. BI tools, integrated with data visualization platforms, offer advanced analytical capabilities that help organizations identify patterns, correlations, and anomalies in data. This, in turn, aids in optimizing business processes, improving customer satisfaction, and driving revenue growth.

The growing emphasis on self-service data analytics and democratization of data analytics across organizations is also propelling market growth. Self-service data visualization platforms empower non-technical users to create customized visual reports and dashboards without the need for extensive IT support. This not only reduces the dependency on data scientists and IT personnel but also fosters a data-driven culture within the organization. The increasing trend of data democratization allows more employees to access and analyze data, leading to more agile and informed decision-making processes.

Visual Data Discovery has emerged as a crucial aspect of data visualization platforms, offering users the ability to interactively explore and analyze data. This approach allows users to uncover insights and patterns that might not be immediately apparent through traditional static reports. By enabling dynamic exploration of data, visual data discovery tools empower users to ask new questions and gain deeper insights. These tools often include features such as drag-and-drop interfaces, interactive dashboards, and real-time data updates, making data analysis more accessible to a broader audience. As organizations strive to become more data-driven, the demand for visual data discovery capabilities continues to grow, enhancing the overall value of data visualization platforms.

Regionally, North America holds a significant share of the Enterprise Data Visualization Platform market, driven by the presence of major technology companies, high adoption rates of advanced analytics solutions, and robust IT infrastructure. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. The rapid digital transformation, increasing investments in big data and analytics, and the growing number of SMEs in countries like China, India, and Japan are contributing to the market expansion in this region.

Component Analysis

The Enterprise Data Visualization Platform market can be segmented by component into software and services. The software segment is anticipated to hold the largest market share during the forecast period. This is primarily due to the widespread adoption of visualization tools that facilitate easy interpretation of complex data sets. These software solutions offer a range of functionalities, including interactive dashboards, real-time data analysis, and predictive analytics, which are essential for modern business operations. The continuous advancements in software capabilities, such as enhanced user interfaces and integration with other business applications, further drive the demand in this segment.

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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 s

Data Discovery Platform Market Outlook

The global Data Discovery Platform market size was valued at $10.2 billion in 2023 and is projected to reach $28.5 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 12.5% from 2024 to 2032. This impressive growth can be attributed to the increasing volume of data being generated across various industries, coupled with the rising need for actionable insights to drive business decisions. Businesses are increasingly recognizing the importance of data discovery platforms in transforming raw data into valuable insights, which is acting as a significant catalyst for market growth.

One of the primary growth factors for the Data Discovery Platform market is the growing emphasis on data-driven decision-making. Organizations are increasingly relying on data analytics to gain a competitive edge, enhance operational efficiency, and improve customer experiences. As a result, the demand for advanced data discovery tools that can handle large volumes of data and provide intuitive, user-friendly interfaces is on the rise. These platforms enable users to identify patterns, trends, and correlations within their data, thus facilitating more informed decision-making processes.

Another significant driver of market growth is the increasing adoption of cloud-based solutions. Cloud-based data discovery platforms offer several advantages, including scalability, flexibility, and cost-effectiveness. They allow organizations to store and analyze vast amounts of data without the need for significant upfront investments in infrastructure. Additionally, cloud-based platforms provide easy access to data from any location, enabling collaboration and remote work, which has become especially important in the wake of the COVID-19 pandemic. This shift towards cloud solutions is expected to continue, further propelling the growth of the Data Discovery Platform market.

The growing need for regulatory compliance is also fueling the demand for data discovery platforms. Governments and regulatory bodies across the globe are implementing stringent data protection and privacy regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States. Organizations are required to ensure the security and integrity of their data, and data discovery platforms play a crucial role in achieving compliance. These platforms help organizations identify and monitor sensitive data, assess risks, and implement appropriate security measures, thereby reducing the risk of data breaches and regulatory penalties.

Regionally, North America is expected to dominate the Data Discovery Platform market during the forecast period, owing to the presence of several key players and the early adoption of advanced technologies in the region. The Asia Pacific region is also anticipated to witness significant growth, driven by the increasing digital transformation initiatives and the rising adoption of data analytics solutions in countries such as China, India, and Japan. Europe is expected to follow suit, with growing investments in data-driven technologies and stringent data protection regulations driving the demand for data discovery platforms.

Component Analysis

The Data Discovery Platform market is segmented by component into two primary categories: Software and Services. The software segment includes various data discovery tools and applications that enable organizations to analyze, visualize, and interpret their data. These software solutions are designed to be user-friendly, allowing users with minimal technical expertise to perform complex data analysis tasks. The demand for data discovery software is driven by the increasing need for real-time analytics and the ability to handle large volumes of data from multiple sources. Organizations are investing in advanced software solutions to gain deeper insights and make data-driven decisions more efficiently.

Within the software segment, there are various sub-segments, including data preparation tools, data visualization tools, and data governance solutions. Data preparation tools help organizations clean, transform, and integrate data from different sources, ensuring that the data is accurate and consistent. Data visualization tools enable users to create interactive and intuitive visual representations of their data, making it easier to identify patterns and trends. Data governance solutions help organizations manage and protect their data, ensuring compliance with regulatory requirements and internal policies. The growing complexity of data and the need for

We were able to record a dataset of more than 80 hours of eye tracking data. The dataset comprises 7.8 hours of outdoor activities, 14.3 hours of social interaction, 31.3 hours of focused work, 8.3 hours of travel, 39.5 hours of reading, 28.7 hours of computer work, 18.3 hours of watching media, 7 hours of eating, and 11.4 hours of other (special) activities. Note that annotations are not mutually exclusive, i.e. these durations should be seen independently and sum up to more than the actual dataset size. Most of our participants were students and wore the eye tracker through one day of their normal university life. This is reflected in the overall predominant activities, namely focused work, reading, and computer work. Otherwise, as can also be seen from the table, our dataset contains significant variability with respect to participants’ daily routines and consequently the number, type, and distribution of activities that they performed. For example, while P1 wore the eye tracker during a normal working day at the university, P7 and P9 recorded at a weekend and stayed at home all day mainly reading and working on the computer (P7) or watching movies (P9) with little or no social interactions.

In silico discovery of representational relationships across visual cortex

🔍 Overview

Here we provide the stimuli and corresponding raw fMRI responses from the paper: In silico discovery of representational relationships across visual cortex (Alessandro T. Gifford, Maya A. Jastrzębowska, Johannes J.D. Singer, Radoslaw M. Cichy).

The stimuli consist of controlling images that align or disentangle either univariate or multivariate responses of areas V1, V2, V3 and V4 for human fMRI responses. We found these images by applying univariate/multivariate relational neural control (RNC) on in-silico (i.e., model generated) fMRI responses. We then validated the V1 vs. V4 controlling images effect on in vivo (i.e., experimentally collected) fMRI responses of six new, independent subjects. Here we provide the in vivo fMRI responses for this validation.

Each subject underwent two fMRI data collection sessions. The first session consisted of three runs of population receptive field experiment (which we used to delineate areas V1 and V4 in each subject), and 10 runs where we presented the univariate RNC controlling images. The second session consisted of 12 runs where we presented the multivariate RNC controlling images. Anatomical scans and field maps were collected at the beginning of both sessions.

The stimuli/ folder contains the univariate and multivariante RNC controlling images, as well as the catch images, presented during data collection. Note that prior to data collection we normalized images luminance to the luminance of a uniform gray screen with an RGB value of 127 127 127 using this code.

The file used_mri_sequences.pdf contains technical details regarding the used MRI sequences.

💻 Code

The code we used for collecting, preprocessing and analyzing the fMRI data is available on GitHub.

If you wish to familiarize with RNC, you can use our interactive Colab tutorials.

📧 Contact

For any question regarding the project data, code, or RNC in general, you can get in touch with Ale (alessandro.gifford@gmail.com).

📜 Citation

If you use any of our data or code, please cite the paper:

• Gifford AT, Jastrzębowska M, Singer JJD, Cichy RM. 2024. In-silico discovery of representational relationships across visual cortex. bioRxiv, ???. DOI: ???

Learn more about Market Research Intellect's Visual Data Discovery Market Report, valued at USD 3.5 billion in 2024, and set to grow to USD 8.2 billion by 2033 with a CAGR of 12.9% (2026-2033).

Data Visualization Tools Market Outlook

The global data visualization tools market size was valued at $6.5 billion in 2023 and is forecast to reach $14.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 9.5% over the forecast period. This robust growth can be attributed to the increasing volume of data generated across various industries and the rising need for data-driven decision-making processes. The widespread adoption of advanced analytics, coupled with the growing trend of digital transformation, is fueling the demand for sophisticated data visualization tools.

One of the primary growth drivers for the data visualization tools market is the exponential increase in data volumes. With the proliferation of IoT devices, social media platforms, and digital transactions, both structured and unstructured data are being generated at an unprecedented rate. Enterprises are keen on harnessing this data to gain actionable insights and maintain a competitive edge. Data visualization tools enable organizations to convert complex data sets into intuitive graphical representations, making it easier for stakeholders to comprehend and analyze information quickly and effectively.

Another significant factor propelling the market is the increasing focus on business intelligence (BI) and analytics. Companies across sectors are investing heavily in BI solutions to enhance their decision-making capabilities. Data visualization tools are integral to BI platforms as they help in presenting data through charts, graphs, and dashboards, allowing users to spot patterns, trends, and anomalies. The ability to visualize data dynamically and interactively empowers businesses to make data-driven decisions swiftly, which is crucial in todayÂ’s fast-paced market environment.

The growing demand for personalized customer experiences is also boosting the data visualization tools market. Organizations are leveraging customer data to tailor their products and services to meet specific consumer preferences and needs. Data visualization tools play a critical role in analyzing customer behavior and market trends, enabling companies to develop targeted marketing strategies. This focus on personalization not only enhances customer satisfaction but also drives revenue growth.

In the context of data visualization, Data Lake Visualization is emerging as a critical component for organizations dealing with vast amounts of data. A data lake is a centralized repository that allows businesses to store all their structured and unstructured data at any scale. With the increasing complexity and volume of data, visualizing this data becomes essential to extract meaningful insights. Data Lake Visualization tools enable users to interact with and analyze data stored in data lakes, providing a comprehensive view of data patterns and trends. These tools help in simplifying the process of data exploration and discovery, making it easier for organizations to harness the full potential of their data lakes. By integrating visualization capabilities with data lakes, businesses can enhance their data-driven strategies, improve decision-making, and drive innovation.

Regionally, North America holds a significant share of the data visualization tools market, owing to the presence of major technology firms and a high adoption rate of advanced analytics solutions. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by rapid digitalization, increasing investments in big data analytics, and the growing number of SMEs embracing BI tools. Europe and Latin America are also experiencing steady growth, with enterprises in these regions increasingly recognizing the importance of data visualization in strategic decision-making.

Component Analysis

The data visualization tools market is segmented by component into software and services. The software segment holds the largest market share, driven by the increasing adoption of BI and analytics software across various industries. These software solutions enable users to create and share visual representations of data, facilitating better understanding and communication of insights. The rise in self-service data visualization tools, which allows users without technical expertise to generate reports and dashboards, is further fueling the demand for software solut

Biological data analysis is the key to new discoveries in disease biology and drug discovery. The rapid proliferation of high-throughput ‘omics’ data has necessitated a need for tools and platforms that allow the researchers to combine and analyse different types of biological data and obtain biologically relevant knowledge. We had previously developed TargetMine, an integrative data analysis platform for target prioritisation and broad-based biological knowledge discovery. Here, we describe the newly modelled biological data types and the enhanced visual and analytical features of TargetMine. These enhancements have included: an enhanced coverage of gene–gene relations, small molecule metabolite to pathway mappings, an improved literature survey feature, and in silico prediction of gene functional associations such as protein–protein interactions and global gene co-expression. We have also described two usage examples on trans-omics data analysis and extraction of gene-disease associations using MeSH term descriptors. These examples have demonstrated how the newer enhancements in TargetMine have contributed to a more expansive coverage of the biological data space and can help interpret genotype–phenotype relations. TargetMine with its auxiliary toolkit is available at https://targetmine.mizuguchilab.org. The TargetMine source code is available at https://github.com/chenyian-nibio/targetmine-gradle.

Learn more about Market Research Intellect's Visual Data Discovery Market Report, valued at USD 3.5 billion in 2024, and set to grow to USD 8.2 billion by 2033 with a CAGR of 12.9% (2026-2033).

LANDMAP is a unique national information system, devised by the former Countryside Council for Wales, allowing information about landscape in Wales to be collected and organised into a nationally consistent dataset. The LANDMAP database includes both objective and subjective information and is designed to enable landscape quality to be taken into account in decision making.

Geographic dataset showing visual and sensory landscape classification for Wales in the form of polygons (Aspect Areas) with large amounts of associated textual information, including General, Description, Evaluation, Recommendations, Tolerance to Change, Area Boundary, Evaluation and Assessment.

This dataset maps the landscape as perceived through our senses based on the physical attributes of landform and land cover. The perceived characteristics of the landscape are primarily determined visually, but the senses of hearing, smell and touch are also considered.

The Expeditions Information System (EIS) contains information recorded by the NOAA Office of Ocean Exploration's data manager during the 2002 "Islands in the Stream - Pharmaceutical Discovery, Vision, and Bioluminescence" expedition, August 15 through 31, 2002. Information contained in the EIS includes submersible, remotely operated vehicle, autonomous underwater vehicle, and SCUBA operational information and a summary of scientific observations during each dive; ship activity information (positions, transits, and visitor shuttles); sample information; water column and bottom conditions; weather observations; sea state observations; education and outreach activity information; media event information; scientific instrumentation information; transect information; dive site profiles; and a record of all data collected by principal investigators. The data presented here are the tables from the original EIS which is a FileMaker Pro database.