Open Data Handbook Curation Detailed Diagram. DC’s data submission process involves four steps as depicted in this diagram. Overall, the data analysts guide the data owner and other analysts as needed to run the data through the submission process, with different groups leading each part (see all caps in diagram above). Their application occurs in a unified database infrastructure consisting of a data warehouse and geospatial database. While there are specific processes and guidelines for each database, they share an overall setting where consistency and standardization are promoted and supported for their individual data curation processes.

List of data curation process description rationale.

The purpose of the online survey on data curation was to arrive at a better understanding of the process of creating, organizing, and maintaining data(sets) by organizations in the field of grey literature. The survey population was based on the number of respondents to the earlier questionnaire on Data Retention Status, which was the first phase in the study on global information repository research for STI development. The ten-question online survey was constructed and implemented via SurveyMonkey. Nine of the questions required closed-ended checkbox responses, while the tenth was open-ended. The closed-ended part of the questionnaire dealt with such issues as the strengths and tasks of the organization related to data curation, improving the user experience, collaboration on data sharing, and the introduction of AI technology in the work environment. The results of the survey remain compiled and preserved in SurveyMonkey as well as in DANS, Data Station for the Social Sciences and Humanities.

Results of input–process-output analysis of data curation activity vocabularies.

Here we describe the development of an automated KNIME workflow to curate and correct errors in the structure and identity of chemicals using the publically available PHYSPROP physico-chemical properties and environmental fate datasets. The workflow first assembles structure-identity pairs using up to four provided chemical identifiers, including chemical name, CASRNs, SMILES, and MolBlock. Problems detected included errors and mismatches in chemical structure formats, identifiers, and various structure validation issues, including hypervalency and stereochemistry descriptions. Subsequently, a machine learning procedure was applied to evaluate the impact of this curation process. The performance of QSAR models built on only the highest quality subset of the original dataset was compared to the larger curated and corrected data set. The latter showed statistically improved predictive performance. The final workflow was used to curate the full list of PHYSPROP datasets, and is being made publically available for further usage and integration by the scientific community. This dataset is associated with the following publication: Mansouri, K., C. Grulke, A. Richard, R. Judson, and A. Williams. (SAR AND QSAR IN ENVIRONMENTAL RESEARCH) An automated curation procedure for addressing chemical errors and inconsistencies in public datasets used in QSAR modeling. SAR AND QSAR IN ENVIRONMENTAL RESEARCH. Taylor & Francis, Inc., Philadelphia, PA, USA, 27(11): 911-937, (2016).

Application for GBIF data curation activities (as of March 2024).

Dataplace Curation AI Market Outlook

As per our latest research, the global Dataplace Curation AI market size reached USD 2.94 billion in 2024, reflecting significant momentum driven by the rapid adoption of AI-powered data management solutions across industries. The market is poised for robust expansion, projected to grow at a CAGR of 23.7% from 2025 to 2033, with the total market value anticipated to reach USD 24.24 billion by 2033. This remarkable growth is primarily fueled by the increasing need for automated, intelligent data curation systems to handle the ever-expanding volume and complexity of enterprise data, as organizations strive for operational excellence and competitive differentiation.

The primary growth factor for the Dataplace Curation AI market is the exponential increase in data volume generated by businesses, particularly as digital transformation initiatives accelerate across sectors. Enterprises now recognize that traditional, manual data curation processes are no longer viable in the face of big data challenges, leading to a surge in demand for AI-powered platforms that can automate and optimize data organization, enrichment, and governance. Furthermore, the proliferation of cloud computing and the integration of AI technologies into data management workflows are empowering organizations to unlock actionable insights from disparate data sources, thereby driving efficiency, reducing operational costs, and enhancing decision-making capabilities. This paradigm shift is especially pronounced in industries such as BFSI, healthcare, and retail, where real-time data curation directly impacts customer experience and business outcomes.

Another significant driver is the growing emphasis on regulatory compliance and data quality. With stringent data privacy laws such as GDPR and CCPA, organizations are under increasing pressure to ensure the accuracy, consistency, and security of their data assets. Dataplace Curation AI solutions provide advanced capabilities for metadata management, data lineage tracking, and automated policy enforcement, which are critical for maintaining compliance and mitigating risks associated with data breaches or inaccuracies. Moreover, the integration of machine learning and natural language processing enables these platforms to continuously learn and adapt to evolving data landscapes, offering scalable solutions that cater to both structured and unstructured data environments.

The market is also witnessing strong momentum from the rising adoption of AI-driven content curation and knowledge management tools, particularly in sectors such as media and entertainment, education, and IT. Organizations are leveraging Dataplace Curation AI to streamline content discovery, personalize user experiences, and foster knowledge sharing across distributed teams. The ability of these systems to aggregate, categorize, and recommend relevant content based on user behavior and preferences is enhancing productivity and innovation. Additionally, the integration of AI-powered analytics is enabling deeper insights into content performance and user engagement, further amplifying the value proposition of Dataplace Curation AI solutions.

Regionally, North America continues to dominate the Dataplace Curation AI market, driven by early technology adoption, a robust ecosystem of AI solution providers, and significant investments in digital infrastructure. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid digitization, expanding cloud adoption, and increasing government initiatives to promote AI innovation. Europe is also making notable strides, particularly in sectors such as BFSI and healthcare, where data governance and compliance requirements are stringent. The Middle East & Africa and Latin America are gradually catching up, with organizations in these regions recognizing the strategic value of AI-powered data curation for business transformation.

Component Analysis

The Dataplace Curation AI market is segmented by component into software and services, each playing a pivotal role in the overall ecosystem. The software segment, which includes AI-powered platforms and tools for data curation, dominates the market owing to continuous advancements in machine learning algorithms, natural language processing, and automation capabilities. These software solutions are designed to seamlessly integrate with existing data infrastructure, providing organizations with scalable, flexible, and

UGC Curation Platforms Market Outlook

According to our latest research, the UGC curation platforms market size reached USD 2.78 billion in 2024 on a global scale, with a robust growth trajectory expected at a CAGR of 15.2% during the forecast period. By 2033, the market is projected to achieve a value of USD 9.94 billion, driven by the surging reliance of brands and enterprises on user-generated content to build authentic digital experiences. This expansion is fueled by increasing digitalization, the proliferation of social media platforms, and the growing demand for personalized customer engagement strategies worldwide.

The primary growth driver for the UGC curation platforms market is the exponential increase in the volume and diversity of user-generated content across digital channels. As consumers share their experiences, reviews, and opinions online, brands are recognizing the immense value in curating and leveraging this content to foster trust, enhance brand credibility, and amplify marketing campaigns. The integration of advanced technologies such as artificial intelligence, machine learning, and natural language processing within UGC curation platforms has further streamlined the process of aggregating, filtering, and displaying relevant content, ensuring that only the most impactful and brand-safe user contributions are showcased. This technological evolution is enabling businesses to extract actionable insights from vast data pools, further fueling market growth.

Another significant factor propelling the UGC curation platforms market is the shift in consumer behavior towards authenticity and peer-driven recommendations. Modern consumers are increasingly influenced by real stories and testimonials rather than traditional advertising, prompting brands to incorporate UGC into their digital strategies. The ability of curation platforms to seamlessly integrate user content into websites, e-commerce platforms, and marketing materials has become a critical differentiator in highly competitive industries such as retail, travel, and hospitality. Moreover, regulatory pressures around transparency and data privacy are compelling companies to adopt compliant, scalable solutions for managing and displaying UGC, thereby boosting demand for sophisticated curation platforms.

The expanding use cases of UGC curation platforms across diverse sectors, including education, healthcare, and entertainment, are also contributing to market acceleration. Educational institutions are utilizing curated student testimonials and project showcases to enhance recruitment efforts, while healthcare providers are leveraging patient stories to build community trust. Additionally, the rise of influencer marketing and the gig economy has created new opportunities for UGC curation platforms to facilitate collaboration between brands and content creators. As organizations increasingly prioritize omnichannel engagement and real-time content delivery, the versatility and scalability of these platforms are expected to drive sustained adoption across both B2B and B2C segments.

Regionally, North America continues to dominate the UGC curation platforms market, accounting for the largest revenue share in 2024, followed by Europe and Asia Pacific. The maturity of digital infrastructure, high social media penetration, and the presence of leading platform providers in North America have created a fertile environment for market growth. Europe is witnessing significant momentum due to stringent data privacy regulations and a strong focus on brand authenticity. Meanwhile, Asia Pacific is emerging as a high-growth region, propelled by rapid digital transformation, expanding e-commerce ecosystems, and increasing smartphone adoption. These regional dynamics are shaping the competitive landscape and influencing strategic investments in the market.

Component Analysis

The UGC curation platforms market by component is segmented into software and services, each playing a pivotal role in driving adoption and value for end-users. The software segment encompasses the core platform

Estate Sale Curation Market Outlook

According to our latest research, the Global Estate Sale Curation market size was valued at $3.4 billion in 2024 and is projected to reach $8.2 billion by 2033, expanding at a CAGR of 10.1% during the forecast period of 2025–2033. One major factor propelling the growth of the estate sale curation market globally is the rapid digitalization of the auction and estate sales industry, which is transforming traditional processes and enabling broader access to curated estate assets through online platforms. This evolution not only streamlines the curation process for both buyers and sellers but also enhances transparency, efficiency, and reach, thereby attracting new demographics and fueling market expansion. The rising demand for professional estate management, driven by generational wealth transfer and the increasing value of collectible items, further supports the robust outlook for the estate sale curation market.

Regional Outlook

North America currently holds the largest share of the global estate sale curation market, accounting for more than 38% of total revenue in 2024. This dominance is largely attributable to the region’s mature real estate and collectibles markets, as well as a strong culture of estate planning and asset liquidation. The United States, in particular, benefits from a well-established network of estate sale professionals, advanced digital infrastructure, and a high rate of homeownership, all of which contribute to a robust demand for both full-service and online curation solutions. Additionally, favorable regulatory frameworks and consumer familiarity with auction-based asset disposition have further entrenched North America’s leadership in the global estate sale curation industry.

The Asia Pacific region is projected to be the fastest-growing market, expected to register a CAGR of 13.4% through 2033. This accelerated growth is driven by the rapid emergence of affluent middle classes in countries such as China, India, and Southeast Asia. As disposable incomes rise and property ownership becomes more widespread, there is a significant uptick in demand for professional estate sale and curation services. Furthermore, increased adoption of digital platforms and mobile technology in the region is making curated estate sales more accessible to a broader audience. Strategic investments from global players and local startups in online curation platforms are also propelling market expansion across Asia Pacific.

Emerging economies in Latin America and the Middle East & Africa are experiencing gradual adoption of estate sale curation services, though growth is tempered by unique challenges. In these regions, cultural norms around inheritance, lower digital penetration, and underdeveloped regulatory frameworks can impede the widespread adoption of curated estate sales. However, localized demand is increasing as urbanization accelerates and wealth accumulates among new economic classes. Policy reforms aimed at formalizing the secondary market for assets, as well as targeted educational campaigns, are expected to gradually overcome these barriers, paving the way for future growth in these emerging markets.

Report Scope

UGC Curation Platforms Market Outlook

According to our latest research, the UGC curation platforms market size reached USD 1.62 billion globally in 2024, driven by the exponential surge in user-generated content across digital channels. The market is expanding at a robust CAGR of 15.1% and is forecasted to attain a value of USD 5.02 billion by 2033. This remarkable growth is primarily fueled by the increasing adoption of digital marketing strategies, the proliferation of social media platforms, and the rising demand for authentic content experiences among brands and consumers alike.

One of the most significant growth factors for the UGC curation platforms market is the unstoppable rise of social media engagement. Brands across all industries are leveraging user-generated content to build trust, drive engagement, and enhance customer loyalty. The authenticity and relatability of UGC have proven more effective in influencing purchasing decisions compared to traditional brand-generated content. As a result, businesses are investing heavily in platforms that can efficiently curate, moderate, and showcase UGC across websites, e-commerce portals, and marketing campaigns. The increasing sophistication of AI-driven curation tools is further streamlining the process, making it easier for organizations to tap into the power of user voices at scale.

Another key driver is the shift towards personalized and interactive consumer experiences. Modern consumers, especially Gen Z and Millennials, demand content that resonates with their values and interests. UGC curation platforms enable brands to deliver personalized content journeys by aggregating and displaying relevant user stories, reviews, and social media posts. This not only enhances the user experience but also fosters a sense of community and brand advocacy. The integration of UGC with omnichannel marketing strategies is amplifying its impact, allowing brands to maintain consistent messaging and engagement across touchpoints. The growing importance of data privacy and content authenticity is also pushing platform providers to develop advanced moderation and verification tools, ensuring compliance and trust.

The third major growth catalyst is the expanding influence of e-commerce and digital retail. With online shopping becoming the norm, retailers are increasingly relying on UGC to boost product discovery, build social proof, and reduce cart abandonment rates. UGC curation platforms are instrumental in aggregating product reviews, unboxing videos, and customer testimonials, which significantly impact purchasing decisions. Additionally, sectors such as travel, hospitality, and healthcare are leveraging curated UGC to showcase real-life experiences and build credibility. The convergence of UGC with emerging technologies like augmented reality and live streaming is opening new avenues for interactive and immersive brand experiences, further propelling market growth.

From a regional perspective, North America continues to dominate the UGC curation platforms market, accounting for the largest revenue share in 2024. This leadership is attributed to the strong presence of leading technology companies, high digital penetration, and early adoption of innovative marketing solutions. However, the Asia Pacific region is witnessing the fastest growth, fueled by the rapid expansion of the digital ecosystem, increasing smartphone adoption, and a burgeoning population of social media users. Europe remains a significant market, driven by stringent data privacy regulations and a mature digital marketing landscape. Meanwhile, Latin America and the Middle East & Africa are emerging as promising markets due to growing internet accessibility and rising brand investments in digital engagement strategies.

Component Analysis

The component segment of the UGC curation platforms market is broadly categorized into software and services. Software solutions are the backbone of this market, offering a comprehensive suite of tools for content aggregation, moderation, analytics, and publishing. These platforms are designed to seamlessly integrate with existing digital infrastructure, enabling brands to curate content from multiple sources such as social media, review sites, and forums. Advanced features like AI-powered moderation, sentiment analysis, and content recommendation engines are becoming standard, allowing for efficient handling of large volumes

This dataset contains key characteristics about the data described in the Data Descriptor Data-driven curation process for describing the blood glucose management in the intensive care unit. Contents:

    1. human readable metadata summary table in CSV format


    2. machine readable metadata file in JSON format

In recent years, with the trend of open science, there have been many efforts to share research data on the internet. To promote research data sharing, data curation is essential to make the data interpretable and reusable. In research fields such as life sciences, earth sciences, and social sciences, tasks and procedures have been already developed to implement efficient data curation to meet the needs and customs of individual research fields. However, not only data sharing within research fields but also interdisciplinary data sharing is required to promote open science. For this purpose, knowledge of data curation across the research fields is surveyed, analyzed, and organized as an ontology in this paper. As the survey, existing vocabularies and procedures are collected and compared as well as interviews with the data curators in research institutes in different fields are conducted to clarify commonalities and differences in data curation across the research fields. It turned out that the granularity of tasks and procedures that constitute the building blocks of data curation is not formalized. Without a method to overcome this gap, it will be challenging to promote interdisciplinary reuse of research data. Based on the analysis above, the ontology for the data curation process is proposed to describe data curation processes in different fields universally. It is described by OWL and shown as valid and consistent from the logical viewpoint. The ontology successfully represents data curation activities as the processes in the different fields acquired by the interviews. It is also helpful to identify the functions of the systems to support the data curation process. This study contributes to building a knowledge framework for an interdisciplinary understanding of data curation activities in different fields.

As an engineering endeavor, synthetic biology requires effective sharing of genetic design information that can be reused in the construction of new designs. While there are a number of large community repositories of design information, curation of this information has been limited. This in turn limits the ways in which design information can be put to use. The aim of this work was to improve this situation by creating a curated library of parts from the International Genetically Engineered Machines (iGEM) registry data set. To this end, an analysis of the Synthetic Biology Open Language (SBOL) version of the iGEM registry was carried out using four different approachessimple statistics, SnapGene autoannotation, SYNBICT autoannotation, and expert analysisthe results of which are presented herein. Key challenges encountered include the use of free text, insufficient part provenance, part duplication, lack of part removal, and insufficient continuous curation. On the basis of these analyses, the focus has shifted from the creation of a curated iGEM part library to instead the extraction of a set of lessons, which are presented here. These lessons can be exploited to facilitate the creation and curation of other part libraries using a simpler and less labor intensive process.

Objective: In 2016, the International Agency for Research on Cancer, part of the World Health Organization, released the Exposome-Explorer, the first database dedicated to biomarkers of exposure for environmental risk factors for diseases. The database contents resulted from a manual literature search that yielded over 8,500 citations, but only a small fraction of these publications were used in the final database. Manually curating a database is time-consuming and requires domain expertise to gather relevant data scattered throughout millions of articles. This work proposes a supervised machine learning pipeline to assist the manual literature retrieval process.Methods: The manually retrieved corpus of scientific publications used in the Exposome-Explorer was used as training and testing sets for the machine learning models (classifiers). Several parameters and algorithms were evaluated to predict an article’s relevance based on different datasets made of titles, abstracts and metadata.Results: The top performance classifier was built with the Logistic Regression algorithm using the title and abstract set, achieving an F2-score of 70.1%. Furthermore, we extracted 1,143 entities from these articles with a classifier trained for biomarker entity recognition. Of these, we manually validated 45 new candidate entries to the database.Conclusion: Our methodology reduced the number of articles to be manually screened by the database curators by nearly 90%, while only misclassifying 22.1% of the relevant articles. We expect that this methodology can also be applied to similar biomarkers datasets or be adapted to assist the manual curation process of similar chemical or disease databases.

Hotel Art Curation Market Outlook

According to our latest research, the global hotel art curation market size reached USD 2.3 billion in 2024, with a recorded compound annual growth rate (CAGR) of 7.8% from 2025 to 2033. The market is projected to expand significantly, reaching a forecasted value of USD 4.6 billion by 2033. This robust growth is primarily driven by increasing investments in hospitality aesthetics, the rising importance of guest experiences, and the growing trend among hotels to differentiate themselves through curated art collections. As per the latest research, the integration of art curation services has become a pivotal strategy for hotels aiming to enhance brand identity and deliver immersive guest experiences in a highly competitive industry.

The growth of the hotel art curation market is underpinned by the hospitality sectorÂ’s evolving focus on guest engagement and experiential differentiation. With travelers seeking more personalized and memorable stays, hotels are leveraging curated art to create unique atmospheres that reflect local culture, history, and contemporary trends. This trend is particularly pronounced in luxury and boutique hotels, where art is not just decorative but central to the overall guest experience. Furthermore, the rise of social media platforms has amplified the importance of visually appealing spaces, prompting hotels to invest in distinctive art installations that encourage guest interaction and social sharing. As a result, art curation has transitioned from a niche service to a mainstream necessity within the hospitality industry, fueling sustained market expansion.

Another significant driver of market growth is the increasing collaboration between hotels and artists, galleries, and art consultants. These partnerships facilitate the procurement and installation of site-specific artworks, sculptures, and digital media that align with a hotelÂ’s brand ethos and narrative. The demand for bespoke art consulting and leasing services is on the rise, allowing hotels to refresh their art collections periodically and stay relevant with evolving design trends. Moreover, advancements in digital art and mixed media have broadened the scope of art curation, enabling hotels to offer immersive and interactive experiences that appeal to tech-savvy travelers. This dynamic interplay between art, technology, and hospitality is expected to further accelerate market growth over the forecast period.

The regional outlook for the hotel art curation market reveals notable variations in adoption rates and growth trajectories. North America currently dominates the market, driven by a high concentration of luxury hotels and a strong culture of art patronage. Europe follows closely, with its rich artistic heritage and a burgeoning boutique hotel segment. The Asia Pacific region is emerging as a lucrative market, fueled by rapid growth in tourism, urbanization, and hotel construction, particularly in countries such as China, Japan, and India. Meanwhile, the Middle East and Africa are witnessing increased investments in hospitality infrastructure, especially in the Gulf Cooperation Council (GCC) countries, where iconic hotels are integrating curated art as a key differentiator. Latin America, though smaller in market share, is experiencing steady growth as international hotel brands expand their footprint in the region.

Service Type Analysis

The service type segment of the hotel art curation market encompasses art procurement, art consulting, art installation, art leasing, and other specialized services. Art procurement remains the largest sub-segment, as hotels increasingly seek to acquire unique and locally relevant pieces to enhance their propertiesÂ’ visual appeal. This process often involves collaboration with artists, galleries, and auction houses to source original artworks that align with the hotelÂ’s brand identity. The demand for art procurement services is particularly high among luxury and boutique hotels, where exclusivity and authenticity are paramount. Art c

To support the work of curating civil society processes, recording the events which are responded to, and the responses to those events.

Automated Variant Curation Market Outlook

According to our latest research, the Global Automated Variant Curation market size was valued at $1.2 billion in 2024 and is projected to reach $4.8 billion by 2033, expanding at a CAGR of 16.5% during the forecast period of 2025–2033. This robust growth is primarily driven by the increasing integration of artificial intelligence and machine learning algorithms in genomics, which has significantly enhanced the speed, accuracy, and scalability of variant curation processes. As precision medicine and personalized healthcare gain traction globally, the demand for automated solutions that can efficiently interpret complex genetic data and deliver actionable insights is surging. The convergence of advanced analytics, decreasing sequencing costs, and a rising volume of genomic data is further propelling market expansion, making automated variant curation an indispensable tool in clinical diagnostics, research, and drug discovery.

Regional Outlook

North America currently holds the largest share of the Automated Variant Curation market, accounting for over 40% of the global value in 2024. This dominance is attributed to the region’s mature healthcare infrastructure, high adoption rates of next-generation sequencing technologies, and the presence of leading genomic research institutions and biotechnology firms. The United States, in particular, benefits from robust government funding, favorable reimbursement policies, and a vibrant ecosystem of startups and established players specializing in precision medicine. The regulatory environment in North America, which supports innovation while ensuring patient safety, has also played a pivotal role in accelerating the deployment of automated curation platforms across clinical and research settings. Furthermore, strategic collaborations between academic centers, healthcare providers, and technology companies continue to foster market growth, solidifying North America’s leadership position.

In contrast, the Asia Pacific region is the fastest-growing market, projected to register a CAGR of 19.2% from 2025 to 2033. This rapid expansion is fueled by increasing investments in healthcare IT infrastructure, growing awareness of genomics, and government initiatives aimed at modernizing healthcare delivery. Countries such as China, Japan, and South Korea are witnessing a surge in genomics research, supported by public-private partnerships and the establishment of national genomics projects. The region’s large, genetically diverse population presents unique opportunities for variant curation solutions tailored to local needs. Moreover, the proliferation of cloud-based platforms and mobile health technologies is making advanced genomic analysis more accessible to a broader range of end-users, from hospitals to research institutes. As a result, Asia Pacific is poised to emerge as a significant hub for innovation and adoption in the automated variant curation market.

Emerging economies in Latin America, the Middle East, and Africa are also beginning to embrace automated variant curation, albeit at a more measured pace. These regions face challenges such as limited access to advanced sequencing technologies, insufficient funding for genomics research, and a shortage of skilled professionals. However, ongoing policy reforms, international collaborations, and targeted investments in healthcare modernization are gradually improving the landscape. Localized demand for affordable, scalable, and user-friendly curation solutions is rising, particularly as governments recognize the potential of genomics in addressing population-specific health challenges. While adoption rates remain lower than in more developed markets, the long-term outlook is positive, with increasing efforts to bridge infrastructure and knowledge gaps driving future growth.

Report Scope

This dataset includes the evaluation of The New York Times newsletters conducted in March 2023. The analysis applies the Curation Analysis System (CAS) methodology, developed by Guallar et al. (2021b), which provides a structured framework for assessing curated journalistic content. The dataset is part of the project "Parameters and Strategies to Increase the Relevance of Media and Digital Communication in Society: Curation, Visualisation, and Visibility (CUVICOM)" (PID2021-123579OB-I00), funded by the Ministry of Science and Innovation.

Files Included: FinalScores.xlsx Description: This file contains the scoring results for The New York Times newsletters. The file includes multiple tabs that organise the data into: Overall Scores: Aggregated scores assigned to each newsletter based on the evaluation criteria. Scores by Section: Breakdown of scores by specific sections or categories of newsletters. Rankings by Item: Rankings derived from individual parameters in the scoring rubric. Purpose: To provide a quantitative assessment of newsletter performance using the CAS methodology. CodingSheet_CAS_Methodology.pdf

Description: This document details the Curation Analysis System (CAS) method. It outlines the two primary dimensions of analysis: Content Dimension: Evaluates aspects such as the quantity of curated content, its time range (e.g., retrospective or real-time), origin (internal or external), and source characteristics (type and format). Curation Dimension: Focuses on curatorial processes, including authorship visibility, techniques like summarising or quoting, and the journalistic purpose of links (e.g., informing or contextualising). Purpose: To guide the evaluation process by defining the parameters and procedures used in scoring and analysis.

Real-World Evidence Curation AI Market Outlook

According to our latest research, the global Real-World Evidence (RWE) Curation AI market size reached USD 1.42 billion in 2024, demonstrating robust momentum across healthcare and life sciences sectors. The market is projected to grow at a CAGR of 23.9% from 2025 to 2033, reaching an estimated USD 11.44 billion by 2033. This remarkable expansion is primarily driven by the increasing demand for advanced analytics in drug development, regulatory compliance, and personalized medicine. The integration of artificial intelligence for curating real-world evidence is transforming the way stakeholders derive actionable insights from complex, unstructured healthcare data, thus fueling market growth.

One of the primary growth factors propelling the Real-World Evidence Curation AI market is the exponential increase in healthcare data generation. With the proliferation of electronic health records (EHRs), wearable devices, insurance claims, and patient registries, the volume and variety of real-world data have surged. AI-driven curation solutions are uniquely positioned to extract, normalize, and analyze this data at scale, enabling pharmaceutical companies, healthcare providers, and payers to make informed decisions. The growing regulatory emphasis on real-world data for clinical trials and drug approvals by agencies such as the FDA and EMA further underscores the importance of leveraging AI for efficient and accurate evidence curation.

Another significant driver is the shift towards value-based healthcare and personalized medicine. As healthcare systems worldwide transition from fee-for-service to outcome-based models, there is a critical need for real-world evidence to support reimbursement decisions, monitor long-term drug safety, and assess treatment effectiveness in diverse populations. AI-powered curation platforms facilitate the rapid synthesis of heterogeneous datasets, helping stakeholders identify patient cohorts, monitor adverse events, and optimize clinical trial designs. This capability not only accelerates time-to-market for new therapies but also enhances patient outcomes by tailoring interventions based on real-world insights.

Collaboration between technology vendors, pharmaceutical companies, and research organizations is also accelerating market growth. Strategic partnerships are fostering innovation in AI algorithms, natural language processing, and data interoperability standards, making it easier to integrate RWE curation tools into existing healthcare workflows. Furthermore, the increasing adoption of cloud-based deployment models is democratizing access to advanced analytics, enabling small and medium enterprises to leverage AI for real-world evidence generation. These collaborative efforts are expected to further expand the market’s reach and impact over the coming years.

From a regional perspective, North America currently dominates the Real-World Evidence Curation AI market, driven by strong investments in healthcare IT, favorable regulatory frameworks, and the presence of leading pharmaceutical and biotech firms. Europe follows closely, with significant initiatives aimed at standardizing health data and promoting cross-border research collaborations. The Asia Pacific region is witnessing the fastest growth, fueled by expanding healthcare infrastructure, increasing adoption of digital health technologies, and supportive government policies. As emerging markets continue to invest in AI and data analytics, the global landscape for real-world evidence curation is poised for substantial transformation.

Component Analysis

The Component segment of the Real-World Evidence Curation AI market is bifurcated into software and services, each playing a pivotal role in shaping the industry’s trajectory. AI-powered software solutions are at the core of evidence curation, leveraging advanced machine learning, natural language processing, and data harmonization technologies to transform unstructured data into actionable insights. These platforms are designed to integrate seamlessly with diverse data sources, including EHRs, claims databases, and patient registries, automating the extraction, normalization, and analysis processes. The rapid advancements in AI algorithms and user-friendly interfaces have made these software solutions indispensable for pharmaceutical companies, healthcare providers, and payers seeking to gain a competitive edge through data-driven decision-making.<br /&

Analysis of real-world glucose and insulin clinical data recorded in electronic health records can provide insights into tailored approaches to clinical care, but still present many analytic challenges. The present data subsets are the result of a detailed curation process that extracts and pairs glucose readings to insulin therapy on a per-patient basis during an admission to the Intensive Care Unit (ICU) in the Medical Information Mart for Intensive Care (MIMIC-III) database. Curated data include over 500,000 glucose readings and more than 140,000 insulin entries for nearly 9,600 patients distributed in more than 11,000 ICU stays. Also, the proposed curation process involved the creation of glucose - insulin pairing rules according to clinical expert-defined physiologic and pharmacologic parameters. With the proposed rules, it was possible to pair nearly 76% of insulin administration events to a preceding blood glucose reading. The two shared data subsets have the potential to reveal insights regarding real-world practice for the glycemic control in the ICU. Moreover, the shared material serves as a framework for future studies of glucose management and insulin therapy replacement in the ICU, which may allow researchers to tailor queries and data processing to their own study objectives.