The latest progresses of experimental biology have generated a large number of data with different formats and lengths. Deep learning is an ideal tool to deal with complex datasets, but its inherent “black box” nature needs more interpretability. At the same time, traditional interpretable machine learning methods, such as linear regression or random forest, could only deal with numerical features instead of modular features often encountered in the biological field. Here, we present MultiCapsNet (https://github.com/wanglf19/MultiCapsNet), a new deep learning model built on CapsNet and scCapsNet, which possesses the merits such as easy data integration and high model interpretability. To demonstrate the ability of this model as an interpretable classifier to deal with modular inputs, we test MultiCapsNet on three datasets with different data type and application scenarios. Firstly, on the labeled variant call dataset, MultiCapsNet shows a similar classification performance with neural network model, and provides importance scores for data sources directly without an extra importance determination step required by the neural network model. The importance scores generated by these two models are highly correlated. Secondly, on single cell RNA sequence (scRNA-seq) dataset, MultiCapsNet integrates information about protein-protein interaction (PPI), and protein-DNA interaction (PDI). The classification accuracy of MultiCapsNet is comparable to the neural network and random forest model. Meanwhile, MultiCapsNet reveals how each transcription factor (TF) or PPI cluster node contributes to classification of cell type. Thirdly, we made a comparison between MultiCapsNet and SCENIC. The results show several cell type relevant TFs identified by both methods, further proving the validity and interpretability of the MultiCapsNet.

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Cloud Integration Software Market Size and Trends

The cloud integration software market size is forecast to increase by USD 9.31 billion, at a CAGR of 12.4% between 2023 and 2028. The market is experiencing significant growth due to the increasing adoption of cloud-based solutions among large enterprises in various industries, including IT and telecom, healthcare, and manufacturing. This trend is driven by the need for digital transformation and the proliferation of interconnected devices. Hybrid environments are becoming increasingly common, leading to a demand for cloud-integrated solutions that can seamlessly connect on-premises systems with cloud applications. Moreover, pre-configured integration packages are gaining popularity due to their ease of use and quick implementation. However, concerns about data security remain a challenge, as organizations must ensure that their data is protected while being transferred and stored in the cloud. The market is expected to continue growing as businesses seek to streamline their operations and improve efficiency through the use of advanced integration technologies. In summary, the market is witnessing strong growth due to the increasing adoption of cloud solutions by large enterprises in various industries, the need for hybrid environments, and the popularity of pre-configured integration packages. However, data security concerns remain a challenge that must be addressed.

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The market is witnessing significant growth as businesses increasingly adopt cloud-based solutions to address the challenges of connecting disparate applications within their IT environment. With the rise of remote work models and distributed teams, the need for scalable storage solutions and real-time data connectivity has become crucial. Cloud integration software enables seamless data transfer between on-premises applications and cloud-based applications. It facilitates the interoperability of various systems, ensuring that data remains consistent and up-to-date across the organization. This is particularly important in industries such as e-commerce, banking, and others that rely on real-time data processing and analysis. The integration of cloud-based applications with edge computing and serverless architectures is also gaining traction. These technologies enable businesses to process data closer to the source, reducing latency and improving overall performance. Moreover, artificial intelligence (AI) and machine learning (ML) repositories can be integrated with cloud-based systems, enabling advanced analytics and automation of workflows.

Cloud migration is another key driver of the market. As more businesses move their operations to the cloud, they require integration solutions to connect their legacy systems with their new cloud-based infrastructure. This ensures a smooth transition and minimizes disruptions to business operations. In the market, cloud integration software is becoming an essential component of digital transformation initiatives. It enables businesses to leverage the benefits of cloud computing while ensuring that their IT systems remain interconnected and functional. The use of automated workflows and real-time data connectivity further enhances operational efficiency and productivity. The market is expected to continue its growth trajectory, driven by the increasing adoption of cloud-based solutions and the need for seamless data integration across various systems and applications. With the continued evolution of technology, cloud integration software will play a critical role in enabling businesses to adapt and thrive in an increasingly digital world.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018 - 2022 for the following segments.

Deployment

  SaaS
  IaaS
  Paas


Geography

  North America

    Canada
    US


  Europe

    Germany
    UK
    France


  APAC

    China
    India
    Japan
    South Korea


  South America



  Middle East and Africa

By Deployment Insights

The SaaS segment is estimated to witness significant growth during the forecast period. The market is expected to experience significant growth, with SaaS (Software as a Service) being the leading segment. SaaS is a software delivery model where cloud providers host applications and grant access to users via the Internet. This model is popular among various sectors including large enterprises, healthcare, manufacturing, and IT and telecommunications, due to its affordability and scalability.

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The SaaS segment was valued at USD 4.97 billion in 2018. The SaaS industry's expansion is driven by digital transformation initiatives, the increasing numb

PDF Generation API Market Outlook

According to our latest research, the global PDF Generation API market size reached USD 1.42 billion in 2024, supported by a robust digital transformation wave across industries. The market is expected to grow at a CAGR of 11.7% from 2025 to 2033, reaching a projected value of USD 3.85 billion by 2033. This surge is primarily driven by the increasing need for automated document creation, seamless integration into business workflows, and the rising adoption of cloud-based solutions. As businesses worldwide focus on operational efficiency and digital document management, the demand for PDF Generation APIs continues to escalate, positioning this market for significant expansion through the forecast period.

One of the fundamental growth drivers for the PDF Generation API market is the accelerating pace of digitalization across enterprises of all sizes. Organizations are rapidly moving towards paperless operations, necessitating reliable, scalable, and secure solutions for document generation and management. PDF Generation APIs provide the flexibility to automate the creation of standardized documents such as invoices, contracts, and reports, minimizing manual errors and reducing operational costs. Moreover, the integration of these APIs with existing business applications enhances workflow efficiency and supports compliance with regulatory requirements, further fueling market demand.

Another critical factor propelling market growth is the adoption of cloud-based deployment models. Cloud-based PDF Generation APIs offer unparalleled advantages, including remote accessibility, easy scalability, and reduced IT infrastructure costs. These solutions are particularly appealing to small and medium enterprises (SMEs) that seek cost-effective, maintenance-free options for document management. Additionally, cloud APIs enable seamless integration with third-party services, such as e-signature platforms and CRM systems, thereby expanding their utility across diverse business functions. The flexibility and accessibility of cloud solutions are expected to remain a key market growth catalyst in the coming years.

The increasing emphasis on security and compliance in document workflows also contributes significantly to the expansion of the PDF Generation API market. Industries such as BFSI, healthcare, and government are subject to stringent data protection and audit requirements. PDF Generation APIs facilitate the creation of tamper-proof, encrypted documents, supporting organizations in maintaining data integrity and regulatory compliance. The growing trend towards remote work and digital collaboration has further heightened the need for secure, standardized document generation, making PDF APIs indispensable in modern enterprise environments.

From a regional perspective, North America currently leads the PDF Generation API market, owing to the early adoption of digital technologies, a strong presence of technology vendors, and a mature IT infrastructure. Europe and Asia Pacific are also witnessing rapid growth, driven by increasing digital transformation initiatives, government mandates for electronic documentation, and the proliferation of cloud computing. Emerging economies in Latin America and the Middle East & Africa are gradually catching up, as businesses in these regions recognize the value of automated document workflows in enhancing productivity and competitiveness.

Component Analysis

The PDF Generation API market is segmented by component into software and services, with each segment playing a pivotal role in shaping the overall industry landscape. The software segment dominates the market, accounting for the largest share in 2024, as organizations increasingly rely on robust, scalable, and feature-rich APIs to automate document creation and management. These software solutions are designed to be highly customizable, allowing businesses to generate PDFs from various data sources, incorporate branding elements, and ensure compliance with industry-specific standards. The continuous evolution of API functionalities, such as support for dynamic templates, real-time data merging, and advanced security features, further strengthens the appeal of PDF Generation software across diverse sectors.

On the services front, the market is witnessing growing demand for consulting, integration, and support services. As enterprises seek to optimize th

Advancements in phenotyping technology have enabled plant science researchers to gather large volumes of information from their experiments, especially those that evaluate multiple genotypes. To fully leverage these complex and often heterogeneous data sets (i.e. those that differ in format and structure), scientists must invest considerable time in data processing, and data management has emerged as a considerable barrier for downstream application. Here, we propose a pipeline to enhance data collection, processing, and management from plant science studies comprising of two newly developed open-source programs. The first, called AgTC, is a series of programming functions that generates comma-separated values file templates to collect data in a standard format using either a lab-based computer or a mobile device. The second series of functions, AgETL, executes steps for an Extract-Transform-Load (ETL) data integration process where data are extracted from heterogeneously formatted files, transformed to meet standard criteria, and loaded into a database. There, data are stored and can be accessed for data analysis-related processes, including dynamic data visualization through web-based tools. Both AgTC and AgETL are flexible for application across plant science experiments without programming knowledge on the part of the domain scientist, and their functions are executed on Jupyter Notebook, a browser-based interactive development environment. Additionally, all parameters are easily customized from central configuration files written in the human-readable YAML format. Using three experiments from research laboratories in university and non-government organization (NGO) settings as test cases, we demonstrate the utility of AgTC and AgETL to streamline critical steps from data collection to analysis in the plant sciences.

Understanding tuberculosis (TB) transmission chains can help public health staff target their resources to prevent further transmission, but currently there are few tools to automate this process. We have developed the Logically Inferred Tuberculosis Transmission (LITT) algorithm to systematize the integration and analysis of whole-genome sequencing, clinical, and epidemiological data. Based on the work typically performed by hand during a cluster investigation, LITT identifies and ranks potential source cases for each case in a TB cluster. We evaluated LITT using a diverse dataset of 534 cases in 56 clusters (size range: 2–69 cases), which were investigated locally in three different U.S. jurisdictions. Investigators and LITT agreed on the most likely source case for 145 (80%) of 181 cases. By reviewing discrepancies, we found that many of the remaining differences resulted from errors in the dataset used for the LITT algorithm. In addition, we developed a graphical user interface, user's manual, and training resources to improve LITT accessibility for frontline staff. While LITT cannot replace thorough field investigation, the algorithm can help investigators systematically analyze and interpret complex data over the course of a TB cluster investigation.Code available at:https://github.com/CDCgov/TB_molecular_epidemiology/tree/1.0; https://zenodo.org/badge/latestdoi/166261171.

This study identifies hydrogeologic characteristics of complex aquifers based on constructing stratigraphic structure with large, non-uniform well log data. The approach was validated through a modeling study of the irrigation-intensive Chicot aquifer system, which is an important Pleistocene-Holocene aquifer of the Coastal Lowlands aquifer system in the southwestern Louisiana. Various well log types were unified into the same data structure, prioritized based on data sources, and interpolated to generate a detailed stratigraphic structure. More than 29,000 well logs were integrated to construct a stratigraphy model of 56 model layers for the Chicot aquifer system. The stratigraphy model revealed interconnections of various sands in the system, where 90% of the model domain is covered by fine-grained sediments. Although the groundwater model estimated a slight groundwater storage gain during 2005–2014 for the entire region, groundwater storage in the agricultural area was depleted. Nevertheless, the quick groundwater storage recovery during the non-irrigation seasons suggests that the Chicot aquifer system is a prolific aquifer system. The groundwater modeling result shows that the gulfward groundwater flow direction prior to pumping has been reversed toward inland pumping areas. The large upward vertical flow from the deeper sands indicates potential saltwater migration from the base of the Chicot aquifer system.

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Independent Software Vendors (ISVS) Market Size 2025-2029

The independent software vendors (isvs) market size is valued to increase USD 1.56 billion, at a CAGR of 11.9% from 2024 to 2029. Rise in volume of enterprise data will drive the independent software vendors (isvs) market.

Major Market Trends & Insights

APAC dominated the market and accounted for a 32% growth during the forecast period.
By Deployment - On-premises segment was valued at USD 1.15 billion in 2023
By Component - Software segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 130.16 million
Market Future Opportunities: USD 1559.10 million
CAGR from 2024 to 2029 : 11.9%

Market Summary

The market encompasses a dynamic and ever-evolving landscape of technology providers, specializing in creating and distributing software applications that run on top of a software platform or infrastructure developed by other companies. Key technologies and applications driving this market include cloud computing, artificial intelligence, and the Internet of Things (IoT), with ISVs increasingly focusing on developing solutions for these emerging areas. ISVs offer various service types and product categories, such as software development, consulting, and integration services, catering to diverse industries and sectors. However, the market faces challenges, including high costs of licensing and support, as well as increasing competition from larger software companies and open-source alternatives. Despite these challenges, the ISVs Market continues to grow, with the volume of enterprise data and the rising adoption of cloud computing by end-users fueling demand for customized software solutions. For instance, according to a recent study, the cloud computing market is projected to reach a 21.2% compound annual growth rate (CAGR) between 2021 and 2026, indicating significant potential for ISVs specializing in cloud-based applications. In summary, the ISVs Market is a continuously unfolding ecosystem, characterized by the adoption of core technologies and applications, the provision of various service types and product categories, and the influence of regulations and regional trends. With the increasing volume of enterprise data and the growing adoption of cloud computing, ISVs face both challenges and opportunities as they navigate this evolving landscape.

What will be the Size of the Independent Software Vendors (ISVS) Market during the forecast period?

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How is the Independent Software Vendors (ISVS) Market Segmented ?

The independent software vendors (isvs) 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-premisesCloud basedHhybridComponentSoftwareServicesIndustryBFSIIT & TelecomLogisticsEducationHealthcareOthersApplicationEnterprise ApplicationsIndustry-Specific SoftwareProductivity ToolsEnd-UserSmall and Medium EnterprisesLarge EnterprisesGovernmentGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKMiddle East and AfricaEgyptKSAOmanUAEAPACChinaIndiaJapanSouth AmericaArgentinaBrazilRest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

The Independent Software companies (ISV) market continues to evolve, with ongoing activities shaping the landscape. ISVs offer various software solutions, including DevOps implementation and SaaS company management. Performance monitoring tools and software licensing models are essential components, along with third-party integrations and technical support services. Infrastructure as code, cybersecurity best practices, and company relationship management are also critical aspects. API integration strategies, multi-tenant architecture, compliance, and regulations, software testing automation, and database management systems are integral parts of the ISV offerings. ISVs cater to diverse business needs, with a focus on scalability and reliability through software development kits, continuous delivery, and software version control. Agile development methodology, data security protocols, system integration testing, and software architecture design are essential for delivering high-quality, cloud-based solutions. ISVs provide custom software development and open-source licensing, ensuring flexibility and cost-effectiveness. The market prioritizes on-premise software deployment, with a significant portion of large organizations opting for this model due to data security, local ownership, and the ability to make customizations. According to recent studies, over 60% of enterprise workloads will be processed in t