Visual Analytics Market 2018-2023: Global Major Players - IBM Corporation, Oracle, SAP, SAS Institute, Tableau Software, Microsoft, MicroStrategy

Global Visual Analytics Market Research Report: by Deployment (On-Demand, On-Premise), by Component (Software, and Services), by Industry (IT, BFSI, Retail, Manufacturing, Military & Defense, Transportation & Logistics), by region– Forecast till 2023

Market Synopsis
Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces. Visual Analytics can be seen as an integral approach combining visualization, human factors, and data analysis. Visual Analytics methods allow decision makers to combine their human flexibility, creativity, and background knowledge with the storage and processing capacities of today’s computers to gain insight into complex problems.

According to Market Research Future analysis, Visual Analytics market is anticipated to grow at a significant rate over the forecast period, 2018-2023. The global market for visual analytics has been segmented in to component, deployment, industry and region. Visual analytics is a form of data analysis that helps in problem solving by displaying the data in a graphical and interactive way. Visual analytics solutions are used to understand the significance of data in visual context with the help of data visualization tools and technologies

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GE Aviation’s Digital Solutions in October, 2018 had an agreement with Tableau Software to empower commercial and military airline customers across the aviation industry with responsive visual analytics that can improve fuel efficiencies, aircraft safety and consumers overall flying experience. GE’s Predix platform will provide rich services with detailed data and reports blending airline and industry data that aviation customers can acquire to analyze and customize on-the-fly with Tableau’s advanced visual analytics capabilities.

The global Visual Analytics Market is divided on the basis of component, deployment, industry and region. On the basis of industry the segment is further classified into IT, retail, BFSI, manufacturing, military & defense, and transportation & logistics among others. The aim of marketing department of every industry is to know and understand the customer so well that the product or service fits user and sells itself. The rise of big data and accessibility of visual analytics, got better and easier through analyzing data by blending together a wider range of data sources. Oracle’s Data Visualization Cloud Service, can enable easy manipulation and blending of any Excel based data via a web browser, giving any level of marketer a much clearer understanding of their information. The key benefit of this being the potential insights that can be delivered about not only specific customers purchasing patterns, but also about what influenced them, what they did pre- and post-purchase, and what might encourage them to make new or different purchases in future. The field of supply chain deals with large and complex structures. Statistical Analysis System (SAS), a leading visual software provider for organizations, is offering Supply chain intelligence which can provide demand patterns, quality and customer requirements and combining data from multiple sources. The software provides weighted consensus forecasts, production planning by using sophisticated algorithms, and also calculates optimal inventory policies using multiechelon optimization.

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The global Visual analytics market consists of some major players and new entrants in the market which includes IBM Corporation (U.S.), Oracle (U.S.) , SAP (Germany), SAS Institute (U.S.), Tableau Software (U.S.), Microsoft (U.S.), MicroStrategy (U.S.) , TIBCO Software (U.S.), Qlik (U.S.), and Alteryx (U.S.).

To facilitate risk management in a rapidly changing business environment, financial services organizations require robust, agile business analytics solutions. Visual analytics solutions streamline data extraction and aggregation to create real-time reports based on relevant, timely information so that management can respond efficiently and effectively from anywhere. Datapine (Berlin) offers a lean Business Intelligence software which is useful for financial modelling. It offers user with better and more accurate forecasts, while the discovery of trends from past data helps you in strategic planning and decision making. It helps in monitoring cash flows including revenue and expenses throughout the organization. With integrated data from CRM, ERP and other systems, it offers a unified view of all the data concerning the whole organization. This helps in avoiding risks and grabbing new opportunities.

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