The Change Data Capture (CDC) Tools market is booming, projected to reach $15.44 billion by 2033 with a 15% CAGR. Learn about key drivers, trends, and leading vendors shaping this dynamic industry. Explore real-time data integration, cloud-based solutions, and market segmentation in our comprehensive analysis.

Change Data Capture Solutions Market Outlook

According to our latest research, the global Change Data Capture Solutions market size reached USD 1.97 billion in 2024. The market is projected to expand at a robust CAGR of 19.2% from 2025 to 2033, resulting in a forecasted market size of USD 8.51 billion by 2033. This strong growth is being driven by increasing enterprise demand for real-time data integration, the proliferation of cloud-based applications, and the need for efficient data management in digital transformation initiatives. The market’s expansion is further catalyzed by the surge in big data analytics adoption and the necessity for seamless data replication across distributed environments.

One of the primary growth drivers for the Change Data Capture Solutions market is the escalating need for real-time analytics and decision-making across industries. As organizations strive to become more data-driven, the ability to capture and process data changes instantaneously has become vital. This is particularly important for businesses that operate in highly competitive sectors such as finance, retail, and telecommunications, where timely insights can translate into significant operational and strategic advantages. The widespread adoption of business intelligence tools and the integration of advanced analytics platforms further amplify the demand for robust change data capture solutions that can seamlessly synchronize and update data across multiple sources and destinations.

Additionally, the shift towards hybrid and multi-cloud environments is fueling the adoption of change data capture technologies. Enterprises increasingly rely on a mix of on-premises and cloud-based infrastructures, creating complex data ecosystems that require efficient synchronization and replication solutions. Change data capture tools enable organizations to maintain data consistency and integrity across disparate environments, thereby supporting seamless cloud migrations and hybrid deployments. The growing emphasis on digital transformation, coupled with the proliferation of IoT devices and edge computing, is also contributing to the rising demand for scalable and flexible change data capture solutions that can handle large volumes of streaming data in real time.

Furthermore, regulatory compliance and data governance requirements are compelling organizations to invest in advanced change data capture solutions. Industries such as banking, healthcare, and government are subject to stringent data management regulations that necessitate accurate and timely data replication and auditing. Change data capture technologies help organizations ensure data accuracy, traceability, and auditability while minimizing the risk of data breaches and compliance violations. This trend is expected to intensify as data privacy regulations evolve and organizations continue to prioritize data security and governance in their IT strategies.

From a regional perspective, North America currently dominates the Change Data Capture Solutions market, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The rapid adoption of cloud computing, the presence of leading technology vendors, and the high concentration of data-driven enterprises in the United States and Canada are key factors supporting North America’s leadership. Meanwhile, Asia Pacific is anticipated to exhibit the fastest growth rate over the forecast period, driven by increasing digitalization, expanding IT infrastructure, and the rising adoption of advanced analytics solutions in emerging economies such as China and India.

Component Analysis

The Component segment of the Change Data Capture Solutions market is categorized into Software, Hardware, and Services. The Software sub-segment represents the largest share, as organizations prioritize robust and scalable platforms capable of capturing, processing, and integrating data changes across heterogeneous environments. Modern change data capture softwar

Change Data Capture as a Service Market Outlook

According to our latest research, the global Change Data Capture as a Service (CDCaaS) market size reached USD 1.67 billion in 2024, reflecting robust adoption across industries. The market is poised for significant growth, projected to expand at a CAGR of 21.3% from 2025 to 2033. By the end of 2033, the CDCaaS market is forecasted to attain a value of USD 10.8 billion. This remarkable growth trajectory is driven by the increasing need for real-time data streaming, seamless data integration, and the growing reliance on cloud-based data management solutions across enterprises of all sizes and sectors.

A primary growth factor in the CDCaaS market is the escalating demand for real-time analytics and business intelligence. As organizations continue to digitize operations and leverage data-driven decision-making, there is a pressing need to capture changes in data sources instantaneously. Change Data Capture as a Service enables businesses to synchronize data across heterogeneous environments, ensuring that analytics platforms, business intelligence tools, and operational systems have access to the most current and accurate data. This capability is particularly vital for industries such as BFSI, healthcare, and retail, where timely insights can directly impact customer experience, regulatory compliance, and revenue generation. The proliferation of IoT devices and the surge in transactional data further amplify the necessity for robust CDCaaS solutions, positioning the market for sustained expansion.

Another significant driver fueling the CDCaaS market is the rapid adoption of cloud computing and hybrid IT architectures. Enterprises are increasingly migrating mission-critical workloads to the cloud, seeking scalability, flexibility, and cost-efficiency. CDCaaS platforms are inherently designed to support multi-cloud and hybrid environments, enabling seamless data movement and integration without manual intervention or downtime. This capability not only accelerates digital transformation initiatives but also reduces the complexity and operational overhead associated with traditional ETL (Extract, Transform, Load) processes. As businesses prioritize agility and resilience, CDCaaS becomes an essential enabler, facilitating continuous data replication, backup, and recovery across diverse infrastructures.

The evolving regulatory landscape and the emphasis on data governance are also catalyzing the growth of the CDCaaS market. Organizations are under mounting pressure to comply with stringent data privacy regulations, such as GDPR, HIPAA, and CCPA. Change Data Capture as a Service solutions provide granular visibility into data movements and transformations, ensuring traceability, auditability, and compliance. These platforms often come equipped with advanced security features, such as encryption, access controls, and automated monitoring, which mitigate the risks associated with unauthorized data access or breaches. As regulatory requirements become more complex, the demand for CDCaaS solutions that can streamline compliance processes and safeguard sensitive data will continue to rise.

From a regional perspective, North America currently dominates the CDCaaS market, accounting for the largest revenue share in 2024. The region's leadership is underpinned by the early adoption of advanced analytics, cloud technologies, and stringent regulatory standards. Europe follows closely, driven by the increasing digitalization of industries and the enforcement of robust data protection frameworks. Meanwhile, the Asia Pacific region is witnessing the fastest growth, propelled by rapid enterprise digitization, the proliferation of e-commerce, and the expansion of IT infrastructure. Latin America and the Middle East & Africa are also experiencing steady adoption, albeit at a comparatively slower pace, as organizations in these regions gradually embrace cloud-based data management solutions. Overall, the global CDCaaS market is characterized by dynamic regional trends, with significant opportunities for vendors to expand their footprint across emerging markets.

Change Data Capture Software Market Outlook

According to our latest research, the global Change Data Capture Software market size in 2024 stands at USD 1.92 billion, reflecting robust adoption across industries. The market is projected to expand at a CAGR of 12.4% from 2025 to 2033, reaching an estimated USD 5.51 billion by 2033. This significant growth is primarily driven by the escalating demand for real-time data integration and analytics solutions, as enterprises seek to enhance operational efficiency and gain actionable insights from rapidly growing data volumes.

One of the primary growth factors for the Change Data Capture Software market is the increasing focus on real-time business intelligence and data-driven decision-making. Organizations across sectors such as BFSI, healthcare, and retail are leveraging change data capture (CDC) solutions to synchronize data across heterogeneous systems without impacting performance or availability. The proliferation of digital transformation initiatives, coupled with the need for seamless data replication, is driving organizations to adopt robust CDC software. The ability of CDC tools to minimize latency and ensure data consistency is particularly critical for businesses operating in highly dynamic environments, such as online retail, financial trading, and patient care management.

Another significant driver propelling market growth is the rapid adoption of cloud-based infrastructure. As enterprises migrate workloads to the cloud, the necessity for scalable and flexible data integration solutions becomes paramount. CDC software enables seamless movement and synchronization of data between on-premises and cloud environments, facilitating hybrid and multi-cloud strategies. This capability is especially important for large organizations managing complex data architectures, as it reduces the risk of data silos and enhances the agility of business operations. Furthermore, the integration of advanced technologies such as artificial intelligence and machine learning within CDC tools is enhancing their ability to detect, capture, and process changes in real time, thereby delivering greater value to end-users.

The evolving regulatory landscape and growing emphasis on data governance are also contributing to the expansion of the Change Data Capture Software market. With stringent compliance requirements such as GDPR, HIPAA, and CCPA, organizations are compelled to maintain accurate and up-to-date records of data changes. CDC software plays a pivotal role in ensuring data traceability, auditability, and integrity, which are essential for regulatory compliance. Additionally, the increasing frequency of mergers and acquisitions, business consolidations, and the expansion of enterprise ecosystems are fueling the demand for CDC solutions to streamline data migration and integration processes. As businesses continue to prioritize agility and resilience, the role of CDC software in enabling seamless data flows and supporting digital transformation is expected to grow even further.

From a regional perspective, North America currently dominates the Change Data Capture Software market, driven by the presence of major technology vendors, advanced IT infrastructure, and high adoption rates of real-time analytics solutions. Europe and Asia Pacific are also witnessing significant growth, with increasing investments in digital transformation and cloud computing. The Asia Pacific region, in particular, is expected to register the highest CAGR during the forecast period, fueled by rapid industrialization, the emergence of tech-driven startups, and expanding digital economies. Latin America and the Middle East & Africa are gradually catching up, supported by growing awareness of data integration benefits and the adoption of modern enterprise IT systems.

Component Analysis

The Component segment of the Change Data Capture Software market is broadly categorized into software and services. The software sub-segment comprises standalone CDC tools, integrated data integration platforms, and middleware solutions that facilitate the detection and capture of data changes across diverse databases and applications. The rising complexity of enterprise data environments and the proliferation of structured and unstructured data have made advanced CDC software indispensable. These solutions offer comprehensive functionalities such as change detection, data mapping, conflict resolut

Change Data Capture Market Outlook

According to our latest research, the global Change Data Capture (CDC) market size reached USD 1.95 billion in 2024, demonstrating robust momentum with a compound annual growth rate (CAGR) of 20.4% from 2025 to 2033. Driven by the surging need for real-time data integration and analytics across diverse industries, the market is forecasted to reach USD 7.94 billion by 2033. The exponential growth is primarily attributed to the increasing adoption of cloud-based solutions, the proliferation of big data and analytics platforms, and the growing demand for seamless data synchronization in complex enterprise ecosystems.

One of the key growth factors propelling the Change Data Capture (CDC) market is the escalating volume and complexity of enterprise data. Organizations today are generating and processing vast amounts of data from disparate sources, including transactional databases, IoT devices, web applications, and legacy systems. The need to capture, replicate, and synchronize data changes in real time has become paramount for ensuring data consistency, supporting business intelligence, and enabling agile decision-making. As enterprises increasingly migrate to hybrid and multi-cloud environments, CDC technologies offer a critical bridge, facilitating seamless data movement and integration without disrupting operational workflows. This trend is particularly pronounced in sectors such as BFSI, healthcare, and retail, where data accuracy and timeliness are crucial for regulatory compliance, personalized customer experiences, and operational efficiency.

Another significant driver is the rapid advancement and adoption of cloud-native architectures and microservices. As organizations modernize their IT infrastructure, there is a growing emphasis on agility, scalability, and resilience. CDC solutions, especially those delivered as cloud-based services, enable enterprises to decouple data ingestion from legacy systems and support real-time analytics, event-driven architectures, and data lakes. The integration of CDC with modern data platforms such as Apache Kafka, Snowflake, and Amazon Redshift further accelerates data-driven innovation. Additionally, the proliferation of artificial intelligence and machine learning applications is amplifying the need for up-to-date, high-quality data streams, positioning CDC as a foundational technology for next-generation analytics and automation initiatives.

The Change Data Capture market is also benefiting from the rising focus on digital transformation across various industries. Organizations are investing heavily in data modernization projects to enhance customer engagement, streamline operations, and gain competitive advantages. CDC plays a pivotal role in enabling seamless data migration, legacy system modernization, and the integration of disparate data sources into unified analytics environments. The adoption of CDC is further supported by the increasing availability of user-friendly, low-code/no-code solutions that democratize data integration for business users and IT professionals alike. However, the market faces challenges such as data security concerns, integration complexities, and the need for specialized expertise, which are being addressed through continuous innovation and strategic partnerships among leading vendors.

From a regional perspective, North America continues to dominate the Change Data Capture market, accounting for the largest revenue share in 2024, driven by the presence of major technology providers, high adoption rates of advanced analytics, and a mature digital infrastructure. Europe and Asia Pacific are also witnessing significant growth, fueled by increasing investments in cloud computing, the expansion of e-commerce, and the digitalization of traditional industries. The Asia Pacific region, in particular, is expected to exhibit the highest CAGR during the forecast period, supported by the rapid digital transformation of emerging economies such as China, India, and Southeast Asia. Meanwhile, Latin America and the Middle East & Africa are gradually embracing CDC technologies, albeit at a slower pace, as organizations in these regions prioritize data-driven strategies and regulatory compliance.

Component Analysis

The Change Data Capture market by component is segmented into software, hardware, and services, each playing a distinct role in the overall CDC ecosystem. The software segment dominates the market, accounting for the largest share in 2024, as organ

A novel synchronization method between high-speed ADC and cost-effective custom FPGA in an FPGA-based data acquisition system

LVDS to FMC-LPC Synchronization Project

This project enables synchronization and data capture from LVDS signals through the FMC-LPC interface using an FPGA. It provides a reliable data path by implementing novel clock and frame alignment techniques.

This repository provides the data and code necessary to reproduce the manuscript "Peering into the world of wild passerines with 3D-SOCS: synchronized video capture for posture estimation".This repository also contains sample datasets for running the code and bounding box and keypoint annotations. Collection of large behavioral data-sets on wild animals in natural habitats is vital in ecology and evolution studies. Recent progress in machine learning and computer vision, combined with inexpensive microcomputers, have unlocked a new frontier of fine-scale markerless measurements. Here, we leverage these advancements to develop a 3D Synchronized Outdoor Camera System (3D-SOCS): an inexpensive, mobile and automated method for collecting behavioral data on wild animals using synchronized video frames from Raspberry Pi controlled cameras. Accuracy tests demonstrate 3D-SOCS’ markerless tracking can estimate postures with a 3mm tolerance. To illustrate its research potential, we place 3D-SOCS in the field and conduct a stimulus presentation experiment. We estimate 3D postures and trajectories for multiple individuals of different bird species, and use this data to characterize the visual field configuration of wild great tits (Parus major), a model species in behavioral ecology. We find their optic axes at approximately ±60◦ azimuth and −5◦ elevation. Furthermore, birds exhibit functional lateralization in their use of the right eye with conspecific stimulus, and show individual differences in lateralization. We also show that birds’ convex hulls predicts body weight, highlighting 3D-SOCS’ potential for non-invasive population monitoring. 3D-SOCS is a first-of-its-kind camera system for wild research, presenting exciting potential to measure fine-scaled behavior and morphology in wild birds.

Managed Change Data Capture Market Outlook

According to our latest research, the Global Managed Change Data Capture (CDC) market size was valued at $1.9 billion in 2024 and is projected to reach $6.2 billion by 2033, expanding at a robust CAGR of 14.2% during the forecast period of 2024–2033. The primary factor fueling this remarkable growth is the exponential surge in real-time data analytics requirements across various industries, as organizations increasingly seek to harness actionable insights from massive and ever-changing data streams. The managed change data capture market is experiencing a transformative shift, driven by the need for seamless data synchronization, enhanced business intelligence, and the integration of cloud-based solutions across diverse business environments. This market is further propelled by the rising complexity of data ecosystems, the proliferation of digital transformation initiatives, and growing regulatory demands for accurate and timely data reporting.

Regional Outlook

North America currently holds the largest share of the Managed Change Data Capture market, accounting for over 38% of global revenue in 2024. This dominance is primarily attributed to the region’s mature IT infrastructure, high adoption rates of advanced analytics, and the presence of leading technology vendors. The United States, in particular, has witnessed widespread implementation of managed CDC solutions across sectors such as BFSI, healthcare, and retail, driven by stringent regulatory frameworks and a strong emphasis on data-driven decision-making. The region’s robust investment in cloud computing and big data technologies, coupled with a culture of early technology adoption, continues to set the benchmark for innovation and operational efficiency in the global market. Furthermore, strategic collaborations between enterprises and managed service providers are fostering a dynamic ecosystem that supports the rapid deployment and scaling of CDC solutions.

Asia Pacific is emerging as the fastest-growing region in the Managed Change Data Capture market, with a forecasted CAGR of 17.8% from 2024 to 2033. This impressive growth trajectory is fueled by rapid digital transformation initiatives, increasing investments in cloud infrastructure, and the rising penetration of advanced analytics across emerging economies such as China, India, and Southeast Asian countries. Enterprises in the region are increasingly recognizing the need for real-time data synchronization and integration, especially as they expand their operations and customer bases. Government initiatives supporting digitalization, coupled with the proliferation of mobile and IoT devices, are further accelerating the adoption of managed CDC solutions. The influx of foreign direct investment (FDI) in technology sectors and growing partnerships between local and global technology providers are expected to sustain the region’s momentum in the coming years.

Emerging economies in Latin America, the Middle East, and Africa are gradually embracing Managed Change Data Capture solutions, albeit at a slower pace compared to developed markets. These regions face unique challenges such as limited IT infrastructure, budget constraints, and a shortage of skilled professionals, which can hinder widespread adoption. However, localized demand for data-driven insights, especially in sectors like banking, telecommunications, and retail, is creating new opportunities for market penetration. Policy reforms aimed at improving digital infrastructure and data governance are beginning to take shape, which could pave the way for increased adoption of managed CDC solutions in the medium term. As multinational companies expand their footprints in these regions, demand for scalable and secure data integration services is expected to rise, presenting both opportunities and challenges for vendors and service providers.

Report Scope

Interpersonal synchronization is a concept often studied in psychology. Whereas most research focuses on dyads, triadic systems such as family triads warrant increased attention. A crucial challenge in taking a triadic view on synchronization is how to quantify it, since a statistical measure that captures the level of triadic synchronization in one value, while discarding dyadic synchronization only, is lacking so far. The current paper therefore investigated three existing measures that show potential to capture triadic synchronization and proposes two novel ones. We also present a significance test that allows to investigate whether the observed triadic synchronization in a triad is stronger than can be expected by chance, while accounting for potential auto-dependence in the data. By means of a simulation study, we tested (1) how the measures react to different potential synchronization patterns; (2) the Type I error rate and the power of the significance test. The results showed that only one measure, i.e., the newly proposed adapted multiplication of pairwise correlations (AMPC), can effectively capture triadic synchronization, while discarding dyadic synchronization. We then applied the AMPC measure to intensive longitudinal data on attachment-related measures in families, showing that AMPC can detect meaningful triadic synchronization in empirical data.

Managed Change Data Capture Market Outlook

According to our latest research, the global managed change data capture market size reached USD 1.87 billion in 2024, driven by the increasing need for real-time data integration and analytics across industries. The market is expected to expand at a robust CAGR of 14.2% from 2025 to 2033, reaching a projected value of USD 5.57 billion by 2033. This impressive growth is primarily fueled by organizations’ rising demand for seamless data synchronization, compliance requirements, and the ongoing digital transformation initiatives that necessitate agile and reliable data management solutions.

One of the principal growth factors of the managed change data capture market is the exponential increase in data volumes generated by enterprises. As businesses adopt cloud computing, IoT devices, and mobile platforms, the volume, velocity, and variety of data have surged, making traditional data management methods insufficient. Managed change data capture solutions offer a way to efficiently track, capture, and synchronize changes in data across heterogeneous environments, ensuring data consistency for mission-critical applications. The capability to provide real-time insights and support for advanced analytics is particularly attractive to organizations aiming to leverage big data for strategic decision-making and operational efficiency.

Another significant driver is the rising emphasis on regulatory compliance and data governance. Industries such as BFSI, healthcare, and retail face stringent compliance mandates that require accurate, timely, and auditable data records. Managed change data capture platforms facilitate compliance by providing detailed logs of all data changes, supporting audit trails, and ensuring that data replication processes do not compromise data integrity. The growing awareness of cybersecurity threats and the need for robust disaster recovery solutions further amplify the demand for managed change data capture services, as these solutions enable rapid data restoration and minimize the risk of data loss.

Digital transformation initiatives across sectors are also propelling the adoption of managed change data capture technologies. As organizations migrate legacy systems to cloud environments and modernize their IT infrastructure, they require seamless data migration and integration capabilities. Managed change data capture solutions help minimize downtime and operational disruptions during these transitions by continuously capturing and replicating data changes in real-time. This ensures business continuity and accelerates the pace of innovation, which is crucial in highly competitive markets such as IT and telecommunications, retail, and manufacturing.

Regionally, North America remains the largest market for managed change data capture solutions, accounting for a substantial share of global revenues in 2024. This dominance is attributed to the region’s advanced IT infrastructure, high adoption of cloud technologies, and the presence of major technology vendors. However, Asia Pacific is expected to witness the fastest growth over the forecast period, driven by rapid digitalization, expanding enterprise IT budgets, and increasing adoption of data-driven business models. Europe, Latin America, and the Middle East & Africa also present significant growth opportunities, particularly as regulatory frameworks evolve and organizations in these regions accelerate their digital transformation journeys.

Component Analysis

The managed change data capture market by component is segmented into software and services. The software segment currently holds the largest share due to the proliferation of advanced data integration, replication, and management platforms. These software solutions are designed to automate the process of capturing and synchronizing data changes, reducing manual intervention and minimizing errors. Organizations are increasingly deploying managed change data capture software to support real-time analytics, data warehousing, and business intelligence initiatives, as the need for timely and accurate data insights becomes mission-critical in today’s fast-paced business environment.

On the other hand, the services segment is experiencing robust growth, driven by the increasing complexity of enterprise data environments. Managed services providers offer end-to-end solutions, including consulting, implementation, maintenance, and support, which are particul

Change Data Capture for Vehicle Databases Market Outlook

As per our latest research, the global Change Data Capture for Vehicle Databases market size reached USD 1.98 billion in 2024, reflecting robust demand across automotive and mobility sectors. The market is projected to expand at a CAGR of 13.2% from 2025 to 2033, reaching an estimated USD 5.64 billion by 2033. This impressive growth is primarily driven by the increasing integration of connected vehicle technologies, stringent regulatory requirements for real-time data management, and the rise of data-driven services in the automotive ecosystem.

One of the most significant growth factors for the Change Data Capture (CDC) for Vehicle Databases market is the rapid digitalization of the automotive industry. Modern vehicles are equipped with a multitude of sensors and onboard systems generating massive volumes of real-time data. This data must be efficiently captured, processed, and synchronized across various platforms to enable functionalities such as predictive maintenance, over-the-air (OTA) updates, and advanced driver-assistance systems (ADAS). CDC solutions play a critical role by ensuring that any changes in vehicle databases—whether related to telematics, diagnostics, or infotainment—are instantly reflected across all connected systems. This seamless data synchronization not only enhances operational efficiency but also supports the development of innovative mobility services, thereby fueling market growth.

Another pivotal growth driver is the increasing emphasis on regulatory compliance and data security within the automotive sector. Governments and regulatory agencies worldwide are mandating stricter guidelines for vehicle data storage, sharing, and traceability. CDC technologies enable automotive OEMs and fleet operators to maintain auditable records of all data changes, ensuring adherence to evolving data privacy and security standards such as GDPR, CCPA, and UNECE WP.29. Furthermore, the proliferation of electric vehicles (EVs) and autonomous vehicles is amplifying the need for real-time data capture and synchronization, as these vehicles rely heavily on up-to-date software and firmware updates for optimal performance and safety. As a result, CDC solutions are becoming indispensable for automotive stakeholders striving to maintain compliance while delivering cutting-edge user experiences.

The surge in connected fleet management and telematics applications is also propelling the adoption of CDC solutions. Fleet operators are increasingly leveraging real-time data analytics to optimize routes, monitor vehicle health, and improve fuel efficiency. CDC technologies facilitate the seamless integration of disparate data sources—ranging from engine diagnostics to driver behavior analytics—into unified platforms. This holistic approach enables fleet managers to make informed decisions, reduce operational costs, and enhance vehicle uptime. Additionally, the growing trend of Mobility-as-a-Service (MaaS) and shared mobility is intensifying the need for scalable CDC solutions capable of handling large volumes of transactional data across diverse vehicle types and geographies.

From a regional perspective, North America and Europe currently dominate the Change Data Capture for Vehicle Databases market, collectively accounting for over 60% of global revenue in 2024. These regions benefit from a mature automotive ecosystem, high penetration of connected vehicles, and proactive regulatory frameworks supporting data-driven innovation. However, the Asia Pacific region is expected to witness the fastest growth over the forecast period, driven by rapid urbanization, expanding automotive production, and increasing adoption of digital technologies in emerging markets such as China and India. Latin America and the Middle East & Africa are also poised for steady growth, supported by investments in smart mobility infrastructure and rising demand for efficient fleet management solutions.

Component Analysis

The Change Data Capture for Vehicle Databases market is segmented by component into software, hardware, and services, each playing a vital role in the seamless operation of CDC solutions. Software forms the backbone of CDC implementations, encompassing database management systems, middleware, and analytics platforms that enable real-time data synchronization and processing. These software solutions are designed to handle high-velocity d

Data DescriptionThe CADDI dataset is designed to support research in in-class activity recognition using IMU data from low-cost sensors. It provides multimodal data capturing 19 different activities performed by 12 participants in a classroom environment, utilizing both IMU sensors from a Samsung Galaxy Watch 5 and synchronized stereo camera images. This dataset enables the development and validation of activity recognition models using sensor fusion techniques.Data Generation ProceduresThe data collection process involved recording both continuous and instantaneous activities that typically occur in a classroom setting. The activities were captured using a custom setup, which included:A Samsung Galaxy Watch 5 to collect accelerometer, gyroscope, and rotation vector data at 100Hz.A ZED stereo camera capturing 1080p images at 25-30 fps.A synchronized computer acting as a data hub, receiving IMU data and storing images in real-time.A D-Link DSR-1000AC router for wireless communication between the smartwatch and the computer.Participants were instructed to arrange their workspace as they would in a real classroom, including a laptop, notebook, pens, and a backpack. Data collection was performed under realistic conditions, ensuring that activities were captured naturally.Temporal and Spatial ScopeThe dataset contains a total of 472.03 minutes of recorded data.The IMU sensors operate at 100Hz, while the stereo camera captures images at 25-30Hz.Data was collected from 12 participants, each performing all 19 activities multiple times.The geographical scope of data collection was Alicante, Spain, under controlled indoor conditions.Dataset ComponentsThe dataset is organized into JSON and PNG files, structured hierarchically:IMU Data: Stored in JSON files, containing:Samsung Linear Acceleration Sensor (X, Y, Z values, 100Hz)LSM6DSO Gyroscope (X, Y, Z values, 100Hz)Samsung Rotation Vector (X, Y, Z, W quaternion values, 100Hz)Samsung HR Sensor (heart rate, 1Hz)OPT3007 Light Sensor (ambient light levels, 5Hz)Stereo Camera Images: High-resolution 1920×1080 PNG files from left and right cameras.Synchronization: Each IMU data record and image is timestamped for precise alignment.Data StructureThe dataset is divided into continuous and instantaneous activities:Continuous Activities (e.g., typing, writing, drawing) were recorded for 210 seconds, with the central 200 seconds retained.Instantaneous Activities (e.g., raising a hand, drinking) were repeated 20 times per participant, with data captured only during execution.The dataset is structured as:/continuous/subject_id/activity_name/ /camera_a/ → Left camera images /camera_b/ → Right camera images /sensors/ → JSON files with IMU data

/instantaneous/subject_id/activity_name/repetition_id/ /camera_a/ /camera_b/ /sensors/ Data Quality & Missing DataThe smartwatch buffers 100 readings per second before sending them, ensuring minimal data loss.Synchronization latency between the smartwatch and the computer is negligible.Not all IMU samples have corresponding images due to different recording rates.Outliers and anomalies were handled by discarding incomplete sequences at the start and end of continuous activities.Error Ranges & LimitationsSensor data may contain noise due to minor hand movements.The heart rate sensor operates at 1Hz, limiting its temporal resolution.Camera exposure settings were automatically adjusted, which may introduce slight variations in lighting.File Formats & Software CompatibilityIMU data is stored in JSON format, readable with Python’s json library.Images are in PNG format, compatible with all standard image processing tools.Recommended libraries for data analysis:Python: numpy, pandas, scikit-learn, tensorflow, pytorchVisualization: matplotlib, seabornDeep Learning: Keras, PyTorchPotential ApplicationsDevelopment of activity recognition models in educational settings.Study of student engagement based on movement patterns.Investigation of sensor fusion techniques combining visual and IMU data.This dataset represents a unique contribution to activity recognition research, providing rich multimodal data for developing robust models in real-world educational environments.CitationIf you find this project helpful for your research, please cite our work using the following bibtex entry:@misc{marquezcarpintero2025caddiinclassactivitydetection, title={CADDI: An in-Class Activity Detection Dataset using IMU data from low-cost sensors}, author={Luis Marquez-Carpintero and Sergio Suescun-Ferrandiz and Monica Pina-Navarro and Miguel Cazorla and Francisco Gomez-Donoso}, year={2025}, eprint={2503.02853}, archivePrefix={arXiv}, primaryClass={cs.CV}, url={https://arxiv.org/abs/2503.02853}, }

Application: MATLAB version 2012 or above

China Export: HS 8: Time of Day Recording Apparatus, with Clock or Synchronous Motor, nes data was reported at 249.297 RMB mn in Mar 2025. This records an increase from the previous number of 171.628 RMB mn for Feb 2025. China Export: HS 8: Time of Day Recording Apparatus, with Clock or Synchronous Motor, nes data is updated monthly, averaging 45.804 RMB mn from Jan 2015 (Median) to Mar 2025, with 123 observations. The data reached an all-time high of 424.933 RMB mn in Sep 2024 and a record low of 6.660 RMB mn in Feb 2020. China Export: HS 8: Time of Day Recording Apparatus, with Clock or Synchronous Motor, nes data remains active status in CEIC and is reported by General Administration of Customs. The data is categorized under China Premium Database’s International Trade – Table CN.JKF: RMB: HS91: Clocks and Watches and Parts Thereof.

Generating synthetic population data from multiple raw data sources is a fundamental step for many data science tasks with a wide range of applications. However, despite the presence of a number of ap- proaches such as iterative proportional fitting (IPF) and combinatorial optimization (CO), an efficient and standard framework for handling this type of problems is absent. In this study, we propose a multi-stage frame- work called SynC (short for Synthetic Population via Gaussian Copula) to fill the gap. SynC first removes potential outliers in the data and then fits the filtered data with a Gaussian copula model to correctly capture dependencies and marginals distributions of sampled survey data. Fi- nally, SynC leverages neural networks to merge datasets into one. Our key contributions include: 1) propose a novel framework for generating individual level data from aggregated data sources by combining state-of- the-art machine learning and statistical techniques, 2) design a metric for validating the accuracy of generated data when the ground truth is hard to obtain, 3) release an easy-to-use framework implementation for repro- ducibility and demonstrate its effectiveness with the Canada National Census data, and 4) present two real-world use cases where datasets of this nature can be leveraged by businesses.

Change Data Capture as a Service Market Outlook

According to our latest research, the global Change Data Capture as a Service market size reached USD 1.38 billion in 2024 and is projected to grow at a robust CAGR of 21.7% from 2025 to 2033, reaching an estimated USD 9.16 billion by 2033. The primary growth factor driving this market is the escalating demand for real-time data integration and synchronization across diverse enterprise applications and cloud environments. Organizations are increasingly recognizing the necessity of dynamic data management solutions to support digital transformation initiatives, ensure data consistency, and enable actionable insights from ever-growing data volumes.

The growth trajectory of the Change Data Capture as a Service (CDCaaS) market is propelled by the rapid proliferation of cloud-based architectures and the surge in digital transformation across industries. Enterprises are moving away from traditional batch processing towards real-time data capture and analytics, which is essential for supporting modern business intelligence, advanced analytics, and responsive decision-making. The adoption of microservices and distributed architectures has further heightened the need for seamless data synchronization, making CDCaaS an indispensable component of contemporary IT ecosystems. Furthermore, the rise in data-driven applications across sectors such as banking, healthcare, retail, and manufacturing necessitates robust change data capture mechanisms to maintain data accuracy and integrity across distributed systems.

Another key driver contributing to the expansion of the CDCaaS market is the growing complexity of enterprise data environments. With the exponential growth in data sources, formats, and storage locations, organizations face significant challenges in ensuring data consistency and reliability. CDCaaS solutions address these challenges by providing automated, scalable, and reliable change tracking across heterogeneous environments, thereby minimizing manual intervention and reducing the risk of data inconsistencies. The integration of advanced technologies such as artificial intelligence and machine learning into CDCaaS platforms is enhancing their ability to detect, process, and replicate data changes in real time, further expanding their appeal among enterprises seeking to future-proof their data infrastructure.

The increasing regulatory and compliance requirements across various industries are also fueling the demand for Change Data Capture as a Service. Organizations are compelled to maintain comprehensive audit trails and ensure data traceability to comply with stringent regulations such as GDPR, HIPAA, and SOX. CDCaaS solutions facilitate compliance by providing granular visibility into data changes, enabling organizations to monitor, log, and report on data modifications in real time. This capability is particularly crucial for sectors like banking, healthcare, and government, where data integrity and transparency are paramount. As a result, the CDCaaS market is witnessing robust adoption across regulated industries, further accelerating its growth trajectory.

From a regional perspective, North America continues to dominate the CDCaaS market due to its advanced technological infrastructure, high cloud adoption rates, and the presence of leading market players. However, the Asia Pacific region is emerging as a significant growth engine, driven by the rapid digitalization of enterprises, expanding IT spending, and increasing awareness of data-driven business strategies. Europe also maintains a substantial market share, supported by stringent data regulations and a strong focus on data security and compliance. Latin America and the Middle East & Africa are witnessing gradual adoption, with growing investments in digital transformation and cloud technologies paving the way for future market expansion.

Component Analysis

The Component segment of the Change Data Capture as a Service market is broadly categorized into Software and Services. Software solutions form the backbone of CDCaaS, offering robust capabilities for capturing, processing, and replicating data changes across diverse environments. These solutions are designed to integrate seamlessly with various databases, applications, and cloud platforms, ensuring real-time data synchronization and consistency. The software component i

MultiPENG: Multimodal Dataset for Player Engagement Analysis in Video Games

Overview

This comprehensive multimodal dataset enables the study of player engagement in video games through synchronized physiological, behavioral, and visual data streams. It combines six data modalities (EEG, eye tracking, heart rate, OpenFace facial analysis, user inputs, and gameplay frames) with strategically placed self-reported engagement metrics.

Key Features

• Synchronized multimodal data from 39 participants playing FIFA'23 and Street Fighter V
• Fine-grained temporal alignment between data streams
• Natural engagement reporting leveraging game pause points to minimize disruption
• Multiple dimensions captured: engagement, interest, stress, and excitement
• 900 micro-game sessions with varied difficulty levels
• OpenFace facial analysis providing detailed facial features including head pose dynamics, facial landmarks, gaze direction, and 17 facial action unit intensities

Dataset Structure

The dataset is organized into two main directories:

Questionnaire/

• participants.csv: Contains demographic information for all participants including ID, age, gender, and self-reported expertise levels in FIFA and SF games
• submissions.csv: Contains session-specific metadata including unique submission ID, participant ID, game type, difficulty level, session number, timestamps, and the four engagement metrics (engagement, interest, stress, excitement) rated on a scale of 0-4

Samples/

Each participant has a dedicated folder (<id>/) containing their data across six modalities:

• EEG/: Raw signals from 14 channels (128 Hz), signal quality (0-1) at 0.5s intervals, and band powers (Alpha, Beta H/L, Gamma, Theta) at 8 Hz
• EYE/: Eye tracking data at 60 Hz, including fixation points, unfiltered gaze, pupil coordinates/diameters, blink presence/duration, and saccade measurements
• HR/: Heart rate data at 0.2 Hz (5-second intervals), containing BPM and confidence level (0-3)
• OpenFace/: Processed facial features extracted from webcam footage including head pose dynamics (translation, rotation, velocity, and acceleration vectors), facial landmarks, gaze direction estimates, and 17 facial action unit intensities
• XBOX/: Controller input data capturing button presses (a,b,x,y, bumpers) as binary states and stick positions as absolute values (-32767 to 32767)
• OBS/: Webcam footage at 30 fps (1280×1024 video with H.264 encoding, audio at 44.10 kHz/127 Kbps)

Benchmark Framework

The dataset includes a standardized benchmark framework implementing nested stratified group cross-validation with 7 outer folds, each divided into 7 inner folds. This ensures participant-level separation between training and testing data, providing a fair evaluation protocol for engagement detection models.

Human Panel Evaluation

A curated subset of 20 gameplay sessions is provided for human evaluation of player engagement, along with annotations from 14 human judges. This allows comparison between human capabilities and sensor-based approaches in assessing engagement.

File Naming Convention

Files follow this naming pattern: <id>_<sub>_<e>_<i>_<s>_<ex>.[csv|mp4]

Where: - <id>: participant_id - <sub>: submission_id - <e>: engagement score (0-4) - <i>: interest score (0-4) - <s>: stress score (0-4) - <ex>: excitement score (0-4)

Research Applications

This dataset supports various research directions including: - Development of real-time engagement estimation models - Cross-modal analysis of engagement indicators - Investigation of engagement patterns across different game genres - Evaluation of physiological vs. self-reported engagement metrics - Flow theory modeling using difficulty-skill relationships - Comparison of human vs. algorithmic engagement assessment

Baseline Models

Three baseline approaches for engagement prediction are provided: 1. Human Annotation: Demonstrates limited accuracy (50±12%) when using only visual cues 2. Flow Theory-Based: Achieves 66±6% accuracy using player skill and game difficulty 3. Multimodal Neural Architecture: Reaches 61±9% accuracy using EEG, eye tracking, and facial features

Code and Analysis

The code used for data collection, processing, and baseline analysis is available on GitHub: https://github.com/AmmarRashed/MultimodalEngagement

Ethics and Usage

This dataset was collected as part of a research study approved by the Research Ethics Board (REB) of the University of Ottawa (Protocol #H-07-23-9439). All participants provided informed consent for their data to be shared for academic and non-commercial research purposes only. In accordance with the ethics approval and ...

Time-Synchronized Multi-Sensor Recording Market Outlook

As per our latest research, the global Time-Synchronized Multi-Sensor Recording market size reached USD 1.82 billion in 2024, reflecting the rapid adoption of advanced sensor technologies across diverse industries. The market is exhibiting robust momentum, with a projected compound annual growth rate (CAGR) of 13.7% from 2025 to 2033. By the end of 2033, the market is forecasted to attain a value of USD 5.62 billion, underscoring the increasing demand for precise and synchronized data acquisition in real-time applications. This growth is primarily driven by the surging need for integrated sensor platforms in automotive, healthcare, and industrial automation sectors, where accurate multi-sensor data is pivotal for innovation and operational efficiency.

One of the primary growth factors propelling the Time-Synchronized Multi-Sensor Recording market is the exponential rise in connected devices and the proliferation of the Internet of Things (IoT). As industries transition towards smarter manufacturing and autonomous systems, the demand for solutions that can seamlessly synchronize and record data from multiple, heterogeneous sensors is intensifying. In automotive applications, for instance, advanced driver-assistance systems (ADAS) and autonomous vehicles rely heavily on time-synchronized sensor data to accurately interpret their environment and make real-time decisions. This trend is further amplified by the growing integration of AI and machine learning algorithms, which necessitate high-quality, time-aligned datasets for effective training and deployment.

Another significant driver is the increasing adoption of wearable devices and remote patient monitoring systems in the healthcare sector. Medical diagnostics, rehabilitation, and telemedicine applications require time-synchronized multi-sensor data to ensure the reliability and accuracy of patient information. This is critical for the development of predictive analytics and personalized medicine, which depend on the precise correlation of physiological data streams. Furthermore, the ongoing digital transformation in industrial automation is boosting the deployment of multi-sensor recording solutions for process optimization, predictive maintenance, and safety monitoring. These systems enable real-time decision-making and operational transparency, which are essential for maintaining competitive advantage in today’s fast-paced industrial landscape.

The evolution of sensor technologies and the emergence of high-performance computing platforms are also catalyzing market expansion. Modern sensors are capable of capturing a wide array of physical, chemical, and environmental parameters, often at high sampling rates. The ability to synchronize and record these data streams in real time is critical for applications such as robotics, smart cities, and environmental monitoring. Additionally, advancements in software algorithms and data fusion techniques are enhancing the value proposition of multi-sensor recording systems, enabling users to extract actionable insights from complex datasets. As a result, organizations across various sectors are increasingly investing in these solutions to drive innovation and operational excellence.

From a regional perspective, North America currently dominates the Time-Synchronized Multi-Sensor Recording market, accounting for the largest share in 2024, followed closely by Europe and the Asia Pacific. The presence of leading technology innovators, robust R&D infrastructure, and early adoption of advanced sensor platforms are key factors contributing to North America’s leadership. Meanwhile, Asia Pacific is emerging as the fastest-growing region, driven by rapid industrialization, expanding automotive manufacturing, and significant investments in smart infrastructure. Europe remains a crucial market, particularly in automotive and healthcare applications, while Latin America and the Middle East & Africa are gradually increasing their adoption rates, supported by digital transformation initiatives and government investments in technology-driven sectors.

Twenty-one participants with drug resistant epilepsy underwent a surgical procedure in which platinum recording contacts were implanted on the cortical surface as well as within the brain parenchyma. In each case, the clinical team determined the placement of the contacts to localize epileptogenic regions. In all the participants investigated here, the clinical region of investigation was the temporal lobes.

For research purposes, in six of these participants (4 female; 34.8 ± 4.7 years old) we placed one or two 96-channel microelectrode arrays (MEA; 4 × 4 mm, Cereplex I; Blackrock Microsystems, Inc, Salt Lake City, UT) in the anterior temporal lobe (ATL) in addition to the subdural contacts.

Intracranial EEG recordings

We collected intracranial EEG (iEEG) data from a total of 1660 subdural and depth recording contacts. Subdural contacts were arranged in both grid and strip configurations with an inter-contact spacing of 10 mm. We captured iEEG signals sampled at 1000 Hz. T...

Change Data Capture for Microservices Market Outlook

According to our latest research, the global Change Data Capture (CDC) for Microservices market size reached USD 1.47 billion in 2024, registering a robust year-on-year growth. The market is projected to expand at a CAGR of 19.2% during the forecast period, reaching a value of USD 6.32 billion by 2033. This significant growth is primarily driven by the increasing adoption of microservices architecture across various industries and the rising need for real-time data integration and analytics. As per our latest research, organizations are rapidly modernizing their IT infrastructures, fueling the demand for advanced CDC solutions that can seamlessly synchronize and manage data flows within dynamic, distributed environments.

One of the primary growth drivers of the Change Data Capture for Microservices market is the surge in digital transformation initiatives across sectors such as BFSI, healthcare, retail, and manufacturing. Enterprises are increasingly shifting from monolithic applications to microservices-based architectures to achieve greater agility, scalability, and resilience. This evolution necessitates robust CDC tools capable of capturing and propagating data changes in real-time, ensuring data consistency and integrity across decentralized systems. The proliferation of cloud-native applications and containerization technologies further amplifies the need for CDC solutions that can operate efficiently in highly distributed and elastic environments, thereby bolstering market growth.

Another significant growth factor is the exponential rise in data volumes and the demand for real-time analytics. As organizations generate and consume vast amounts of data, the ability to capture, replicate, and integrate changes instantaneously becomes crucial for deriving actionable insights and maintaining competitive advantage. CDC solutions for microservices enable seamless data synchronization between disparate systems, facilitate continuous data warehousing, and power advanced analytics platforms. The integration of artificial intelligence and machine learning with CDC tools is also enhancing their capabilities, allowing for intelligent data routing, anomaly detection, and automated decision-making, which further propels the market forward.

The increasing emphasis on regulatory compliance and data governance is also driving the adoption of CDC for microservices. Industries such as finance and healthcare are subject to stringent data protection and reporting requirements, necessitating transparent and auditable data movement across microservices ecosystems. CDC solutions provide the necessary visibility and control over data flows, enabling organizations to track changes, ensure data lineage, and maintain compliance with global standards such as GDPR, HIPAA, and PCI DSS. Furthermore, the rise of hybrid and multi-cloud strategies is creating new challenges and opportunities for CDC vendors, as enterprises seek solutions that can operate seamlessly across on-premises and cloud environments while maintaining high performance and security.

From a regional perspective, North America currently dominates the Change Data Capture for Microservices market, accounting for the largest share in 2024. This leadership is attributed to the early adoption of microservices and cloud technologies, a mature IT landscape, and the presence of leading CDC solution providers. However, the Asia Pacific region is expected to witness the fastest growth over the forecast period, driven by rapid digitalization, expanding IT infrastructure, and increasing investments in cloud-native technologies by enterprises across China, India, Japan, and Southeast Asia. Europe and Latin America are also experiencing steady growth as organizations in these regions accelerate their modernization efforts and embrace real-time data integration solutions.

Component Analysis

The Component segment of the Change Data Capture for Microservices market is bifurcated into Software and Services. The software segment holds a dominant position, driven by the growing need for robust, scalable, and feature-rich CDC platforms that support diverse microservices architectures. Modern CDC software solutions are designed to provide seamless integration with various databases, messaging systems, and cloud platforms, enabling organizations to automate data capture, replicat