Insights reported $4.37B in Market Capitalization this May of 2025, considering the latest stock price and the number of outstanding shares.Data for Insights | NSIT - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last May in 2025.

Editor's Pick 2017: Best of Charts of Note This chart gallery is a collection of the best Charts of Note from 2017. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Best of Charts of Note 2017 For complete information, please visit https://data.gov.

According to Cognitive Market Research, the global Graph Analytics market size will be USD 2522 million in 2024 and will expand at a compound annual growth rate (CAGR) of 34.0% from 2024 to 2031. Market Dynamics of Graph Analytics Market

Key Drivers for Graph Analytics Market

Increasing Recognition of the Advantages of Graph Databases- One of the main reasons for the Graph Analytics market is the increasing recognition of the advantages of graph databases. Unlike traditional relational databases, graph databases excel at handling complex relationships and interconnected data, making them ideal for use cases such as fraud detection, recommendation engines, and social network analysis. Businesses are leveraging these capabilities to uncover insights and patterns that were previously difficult to detect. The rise of big data and the need for real-time analytics are further driving the adoption of graph databases, as they offer enhanced performance and scalability for large-scale data sets. Additionally, advancements in artificial intelligence and machine learning are amplifying the value of graph databases, enabling more sophisticated data modeling and predictive analytics.
Growing Uptake of Big Data Tools to Drive the Graph Analytics Market's Expansion in the Years Ahead.

Key Restraints for Graph Analytics Market

Limited Awareness and Understanding pose a serious threat to the Graph Analytics industry.
The market also faces significant difficulties related to data security and privacy.

Introduction of the Graph Analytics Market

The Graph Analytics Market is rapidly expanding, driven by the growing need for advanced data analysis techniques in various sectors. Graph analytics leverages graph structures to represent and analyze relationships and dependencies, providing deeper insights than traditional data analysis methods. Key factors propelling this market include the rise of big data, the increasing adoption of artificial intelligence and machine learning, and the demand for real-time data processing. Industries such as finance, healthcare, telecommunications, and retail are major contributors, utilizing graph analytics for fraud detection, personalized recommendations, network optimization, and more. Leading vendors are continually innovating to offer scalable, efficient solutions, incorporating advanced features like graph databases and visualization tools.

Insights reported $7.51M in Net Income for its fiscal quarter ending in March of 2025. Data for Insights | NSIT - Net Income including historical, tables and charts were last updated by Trading Economics this last July in 2025.

Explore the growth potential of Market Research Intellect's Strip Chart Recorders Market Report, valued at USD 450 million in 2024, with a forecasted market size of USD 600 million by 2033, growing at a CAGR of 4.0% from 2026 to 2033.

The global Knowledge Graph Visualization Tool market is projected to grow from XXX million in 2025 to XXX million by 2033, exhibiting a CAGR of XX% during the forecast period. The market growth is attributed to the increasing adoption of knowledge graphs by enterprises to organize and visualize complex data, the rising need for efficient data exploration and analysis, and the growing popularity of artificial intelligence (AI) and machine learning (ML). The increasing investments in research and development activities by market players to enhance the capabilities of knowledge graph visualization tools are further fueling the market growth. The market is segmented based on application, type, and region. By application, the market is categorized into various sectors such as healthcare, finance, retail, manufacturing, and government. By type, the market is divided into cloud-based and on-premises solutions. Regionally, the market is analyzed across North America, Europe, Asia Pacific, Middle East & Africa, and South America. Key market players include [Company Names]. The competitive landscape of the market is characterized by the presence of established vendors and emerging startups offering innovative solutions. Strategic partnerships, mergers and acquisitions, and product innovation are some of the key strategies adopted by market participants to gain a competitive edge. This report provides a comprehensive overview of the Knowledge Graph Visualization Tool market. It includes market sizing, segmentation, competitive analysis, and key trends. The report also provides insights into the factors driving the market and the challenges it faces.

Gain in-depth insights into Graph Analytics Market Report from Market Research Intellect, valued at USD 3.2 billion in 2024, and projected to grow to USD 10.5 billion by 2033 with a CAGR of 14.5% from 2026 to 2033.

The report offers Ophthalmology Chart Display Market Dynamics, Comprises Industry development drivers, challenges, opportunities, threats and limitations. A report also incorporates Cost Trend of products, Mergers & Acquisitions, Expansion, Crucial Suppliers of products, Concentration Rate of Steel Coupling Economy. Global Ophthalmology Chart Display Market Research Report covers Market Effect Factors investigation chiefly included Technology Progress, Consumer Requires Trend, External Environmental Change.

Explore the growth potential of Market Research Intellect's Eye Charts Market Report, valued at USD 320 million in 2024, with a forecasted market size of USD 480 million by 2033, growing at a CAGR of 5.0% from 2026 to 2033.

The global graph database market growth will be propelled through 2034 at a massive CAGR of 19.4%. With the growing data usage and the rising data storage requirements, the global graph database market size will likely inflate from US$ 3.17 billion to US$ 18.68 billion in the next decade. Technological advancements also fuel the growth prospects of the industry.

Attributes	Key Insights
Estimated Industry Size in 2024	US$ 3.17 billion
Projected Industry Value in 2034	US$ 18.68 billion
Value-based CAGR from 2024 to 2034	19.4%

Growing Technology to Enlarge the Global Graph Database Market Size

Attributes	Values
Historical CAGR	16.5%
Valuation in 2019	US$ 1.46 billion
Valuation in 2023	US$ 2.69 billion

Country-wise Analysis

Countries	Forecasted CAGR
Germany	8.9%
Japan	9.2%
The United States of America	13.5%
China	19.9%
Australia	22.9%

Category-wise Insights

Category	Solution- Graph Database Platform
Industry Share in 2024	63.3%
Segment Drivers	Seamless integration with traditional systems increases their usability, enhancing the demand for these platforms. Excellent scalability of these platforms elevates the usability standards. The wider adaptability drives the segment’s popularity, fueling the global graph database market size.

Category	Application- Fraud & Risk Analytics
Industry Share in 2024	24.3%
Segment Drivers	Due to the ability of graph databases to deliver accurate risk forecasting, they save a lot of time and money. With the rising financial transactions, the demand for fraud detection and potential risk identification is rising. Therefore, the increasing popularity of the segment drives the global graph database market size.

The global digital nautical charts market is anticipated to reach a value of USD 953.4 million by 2033, exhibiting a CAGR of 5.6% during the forecast period (2023-2033). The growing demand for accurate and up-to-date navigation information, coupled with the increasing adoption of electronic navigation systems, are major drivers of market growth. Additionally, government regulations mandating the use of digital charts in commercial shipping and other maritime activities are further contributing to market expansion. The market is segmented into application and type. Based on application, the commercial shipping segment held the largest share in 2022 and is projected to maintain its dominance throughout the forecast period. The growing number of commercial vessels and the increasing complexity of shipping routes are driving demand for digital charts in this segment. In terms of type, the raster chart segment accounted for the larger share in 2022. Raster charts are more user-friendly and easier to interpret than vector charts, making them the preferred choice for many mariners. However, the vector chart segment is expected to grow at a faster rate during the forecast period, as vector charts offer higher accuracy and flexibility.

Note: Updates to this data product are discontinued. This chart gallery is a collection of the best Charts of Note for 2016. These charts were selected by ERS editors as those worthy of a second read because they provide context for the year’s headlines or share key insights from ERS research.This record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: Chart gallery For complete information, please visit https://data.gov.

This dataset tracks the updates made on the dataset "Chart 1 3 X Total Number of Members Who Received ECM in Each Quarter by Population of Focus" as a repository for previous versions of the data and metadata.

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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

Analyzing Coffee Shop Sales: Excel Insights 📈

In my first Data Analytics Project, I Discover the secrets of a fictional coffee shop's success with my data-driven analysis. By Analyzing a 5-sheet Excel dataset, I've uncovered valuable sales trends, customer preferences, and insights that can guide future business decisions. 📊☕

DATA CLEANING 🧹

• REMOVED DUPLICATES OR IRRELEVANT ENTRIES: Thoroughly eliminated duplicate records and irrelevant data to refine the dataset for analysis.

• FIXED STRUCTURAL ERRORS: Rectified any inconsistencies or structural issues within the data to ensure uniformity and accuracy.

• CHECKED FOR DATA CONSISTENCY: Verified the integrity and coherence of the dataset by identifying and resolving any inconsistencies or discrepancies.

DATA MANIPULATION 🛠️

• UTILIZED LOOKUPS: Used Excel's lookup functions for efficient data retrieval and analysis.

• IMPLEMENTED INDEX MATCH: Leveraged the Index Match function to perform advanced data searches and matches.

• APPLIED SUMIFS FUNCTIONS: Utilized SumIFs to calculate totals based on specified criteria.

• CALCULATED PROFITS: Used relevant formulas and techniques to determine profit margins and insights from the data.

PIVOTING THE DATA 𝄜

• CREATED PIVOT TABLES: Utilized Excel's PivotTable feature to pivot the data for in-depth analysis.

• FILTERED DATA: Utilized pivot tables to filter and analyze specific subsets of data, enabling focused insights. Specially used in “PEAK HOURS” and “TOP 3 PRODUCTS” charts.

VISUALIZATION 📊

• KEY INSIGHTS: Unveiled the grand total sales revenue while also analyzing the average bill per person, offering comprehensive insights into the coffee shop's performance and customer spending habits.

• SALES TREND ANALYSIS: Used Line chart to compute total sales across various time intervals, revealing valuable insights into evolving sales trends.

• PEAK HOUR ANALYSIS: Leveraged Clustered Column chart to identify peak sales hours, shedding light on optimal operating times and potential staffing needs.

• TOP 3 PRODUCTS IDENTIFICATION: Utilized Clustered Bar chart to determine the top three coffee types, facilitating strategic decisions regarding inventory management and marketing focus.

*I also used a Timeline to visualize chronological data trends and identify key patterns over specific times.

While it's a significant milestone for me, I recognize that there's always room for growth and improvement. Your feedback and insights are invaluable to me as I continue to refine my skills and tackle future projects. I'm eager to hear your thoughts and suggestions on how I can make my next endeavor even more impactful and insightful.

THANKS TO: WsCube Tech Mo Chen Alex Freberg

TOOLS USED: Microsoft Excel

DataAnalytics #DataAnalyst #ExcelProject #DataVisualization #BusinessIntelligence #SalesAnalysis #DataAnalysis #DataDrivenDecisions

Global Graph Database Market reached US$ 2.9 billion in 2023 and is expected to reach US$ 12.8 billion by 2031

The c3charts extension for CKAN provides a charting library to enhance the visualization capabilities within CKAN applications. It aims to enable a deeper integration of charts, presumably to make data more accessible and understandable directly within the CKAN environment. This extension likely adds functionality for creating and displaying charts based on the data stored in CKAN resources. Key Features: Chart Library Integration: Provides a chart library, assumedly including various chart types (bar, line, pie, etc.), that can be used throughout the CKAN platform. Enhanced Data Visualization: Integrates charts directly into CKAN applications, facilitating easier understanding and interpretation of data. Customization Options (Implied): While not explicitly stated, chart libraries typically allow for customization of chart appearance, such as colors, labels, and axes. This would allow charts to conform to existing branding standards and facilitate specific insights. Technical Integration: The c3charts extension integrates with CKAN by adding c3charts to the ckan.plugins setting in the CKAN configuration file (/etc/ckan/default/production.ini by default). This indicates that the extension functions as a plugin, extending CKAN's existing capabilities. Modifying the ckan.plugins configuration and restarting CKAN are sufficient to bring this custom functionality online. Benefits & Impact: By integrating charting capabilities directly into CKAN, the c3charts extension allows users to visualize data without needing to export it into external tools. Enhanced user insight should occur due to more quickly available and integrated charts. This should streamline the data analysis workflow and improve the user experience for those interacting with CKAN data.

This dataset tracks the updates made on the dataset "Adoption and Foster Care Analysis and Reporting System Trends Chart and Table" as a repository for previous versions of the data and metadata.

Digital Nautical Charts Market Outlook

As of 2023, the global market size for Digital Nautical Charts is estimated to be valued at approximately USD 2.5 billion, with a projected compound annual growth rate (CAGR) of 7.8%, reaching a forecasted market size of around USD 5.1 billion by 2032. The market's growth is driven by the increasing adoption of digital navigation solutions across various marine applications, improved safety measures, and the ongoing digital transformation within the maritime industry.

The growth factors underpinning the Digital Nautical Charts market are multifaceted and diverse. Firstly, the transition from traditional paper charts to digital formats offers enhanced accuracy, real-time updates, and greater navigational safety. This shift is particularly significant for commercial vessels, where precise navigation is crucial for operational efficiency and safety. The increasing complexity of maritime traffic and the need for more sophisticated navigational tools are further accelerating the adoption of digital nautical charts. Additionally, advances in satellite technology and Geographic Information Systems (GIS) have significantly enhanced the capabilities and functionalities of digital charts, making them indispensable tools for modern navigation.

Another critical growth driver is the rising regulatory requirements across the globe. Numerous international maritime organizations and national governments are mandating the use of Electronic Chart Display and Information Systems (ECDIS) for certain classes of vessels. Compliance with these regulations necessitates the use of approved digital nautical charts, thus bolstering market demand. Moreover, the growing awareness and importance of maritime safety and environmental conservation are encouraging the adoption of digital navigation solutions, which aid in preventing accidents and mitigating environmental damage.

The emergence of advanced technologies such as artificial intelligence (AI) and machine learning (ML) is also playing a pivotal role in the market's expansion. These technologies enable enhanced data analytics, predictive maintenance, and route optimization, offering substantial benefits to maritime operators. The integration of AI and ML with digital nautical charts can provide real-time insights and predictive analytics, thereby improving operational decision-making and enhancing navigational safety. The increased investment in maritime digitalization and smart shipping initiatives further propels the market's growth trajectory.

Maritime Digitization is transforming the industry by integrating cutting-edge technologies such as AI and IoT into maritime operations. This digital shift is not only enhancing the efficiency of navigation and logistics but also significantly improving safety standards at sea. By digitizing maritime processes, operators can achieve real-time monitoring and predictive maintenance, which are crucial for minimizing operational risks and maximizing vessel uptime. The integration of digital solutions is also enabling better compliance with international maritime regulations, thus fostering a safer and more sustainable maritime environment. As the industry continues to embrace digitalization, the potential for innovation and improved operational efficiency is vast, offering substantial benefits to stakeholders across the maritime sector.

Regionally, North America and Europe currently dominate the digital nautical charts market, benefiting from well-established maritime industries, advanced technological infrastructures, and stringent regulatory frameworks. However, the Asia Pacific region is anticipated to exhibit the highest growth rate over the forecast period, driven by rapid economic development, expanding maritime trade, and significant investments in port infrastructure and digitalization initiatives. The regional market dynamics, therefore, present a promising outlook for stakeholders in the digital nautical charts industry.

Product Type Analysis

The Digital Nautical Charts market is segmented into Raster Charts and Vector Charts. Raster charts are essentially digitized images of paper charts. They retain the look and feel of traditional paper charts, and are often used by mariners who prefer a familiar interface. Raster charts were among the first digital charts developed and continue to be used widely, particularly in applications where traditional chart formats are preferred. However, the primary limitation of raster ch

The Charts extension for CKAN enhances the platform's data visualization capabilities, allowing users to create, manage, and share charts that are linked to CKAN datasets. It allows users to create interactive and visually appealing chart representations of data directly within the CKAN environment, providing essential data analysis tools. This streamlines the process of visualizing data for a more intuitive and accessible experience. Key Features: Chart Creation: Enables users to create charts directly from CKAN datasets. Chart Editing: Allows users to modify and customize existing charts. Chart Embedding: Provides the ability to embed created charts into other web applications or platforms for wider dissemination. Chart Sharing: Supports sharing of chart visualizations with other users or groups within or outside the CKAN ecosystem. Multiple Chart Types: Supports a variety of common chart types, including bar charts, line charts, and pie charts. Further chart types are not mentioned explicitly, but it is implied the extension can be extended as well. Technical Integration: The extension integrates with CKAN primarily as a plugin. To enable the Charts extension, the chartsview and chartsbuilderview plugins must be added to the CKAN configuration file. The documentation also mentions the need to set CHARTS_FIELDS when autogenerating documentation for chart types fields, which implies a level of customization and extensibility for different chart types. It requires proper initialization of the CKAN instance and relies on validators and helpers, emphasizing the need for a correctly configured CKAN environment. Benefits & Impact: The primary benefit of the CKAN Charts extension is the enhancement of data analysis and presentation capabilities within CKAN. By providing tools to create, manage, and share charts, the extension makes it easier for users to understand and communicate insights from their data, fostering better data-driven decision-making. Also the documentation for chart types can be autogenerated.