The B2B data enrichment tool market is experiencing robust growth, driven by the increasing need for businesses to improve the accuracy and completeness of their customer data. This market, estimated at $5 billion in 2025, is projected to experience a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This expansion is fueled by several key factors. Firstly, the rising adoption of marketing automation and CRM systems necessitates high-quality data to maximize their effectiveness. Secondly, the growing importance of data-driven decision-making across all business functions demands more comprehensive and accurate customer profiles. Thirdly, evolving privacy regulations are pushing companies towards compliant data enrichment practices, leading to greater investment in these tools. The market is segmented by application (SMEs and large enterprises) and data type (contact, company, technographic, intent, and others). Large enterprises currently dominate the market share due to their greater resources and data needs, but the SME segment is poised for significant growth due to increasing affordability and accessibility of these tools. Geographic distribution shows a strong concentration in North America and Europe, with rapidly expanding markets in Asia-Pacific, driven by the increasing digital adoption and economic growth in key regions like India and China. The competitive landscape is highly fragmented, with a multitude of vendors offering varying levels of functionality and pricing. Established players like ZoomInfo, Clearbit, and Cognism compete with emerging companies and niche providers, leading to a dynamic and innovative environment. The trend towards AI-powered enrichment tools is gaining traction, offering improved accuracy and automation. However, challenges remain, such as data quality issues, ensuring data privacy compliance, and managing the cost of data acquisition and enrichment. The market's future growth will likely depend on addressing these challenges and effectively leveraging technological advancements to improve data quality and integrate seamlessly with existing business workflows. Continued innovation in areas such as predictive analytics and AI-powered data enrichment will likely shape the trajectory of the market in the coming years.

Unacast’s Consumer Behavior Data Enrichment provides a robust view of consumers’ affinities, lifestyles, stages of life, and travel patterns. Utilize Consumer Data Enrichment to build multi-dimensional customer profiles, generate look-alike models, extend reach to different marketing channels, and clarify households and connections between devices.

Our on-demand API can enrich opted-in customer data (Mobile Advertiser IDs) or hashed email addresses (HEMs) and FLIPs (frequently leveraged IPs). Based on the query, the API will deliver associated data such as HEM, app data, Unacast Persona Data, demographic data, countries traveled, and more.

Companies use Unacast Consumer Data Enrichment for: - Understanding reach - Identity Graphs - Measuring campaign performance - Measuring return on advertising spend (ROAS) - Addressability - Audience creation - Psychographic analysis - Enhancing customer data - Personalization - Market research - Creating look-alike panels

Make your customer data more powerful, illuminate data gaps, and understand the relationships between devices.

Pricing can vary based on product, scope, region, etc. Reach out to us here to get more details on pricing.

Success.ai provides an extensive US Company Data service with access to over 28 million full company profiles and associated contact data. This service is tailored to enhance your business intelligence with precise and up-to-date information, ensuring you have the insights you need to make informed decisions.

API Integration: Our Enrichment APIs facilitate seamless integration and real-time updates, making it easier than ever to maintain accurate and current data within your systems. These APIs allow for efficient data management and can be customized to fit your specific needs, enhancing both the utility and accessibility of the data.

Benefits of Success.ai’s US Company Data:

• Comprehensive Data Coverage: Explore in-depth profiles that include financial details, company registries, and critical contact information.
• Regulatory Compliance: Our data solutions are GDPR-compliant, ensuring that you can use our services with confidence, adhering to the highest standards of data privacy and security.
• Tailored Data Preparation: We understand that every business has unique needs. Our data is prepared to meet your specific requirements, offering flexibility and precision.
• Best Price & Quality Guarantee: We are committed to providing the highest quality data at the most competitive prices, ensuring you receive unmatched value for your investment.

Key Use Cases:

• Market Research: Gain a competitive edge with comprehensive insights into the US business landscape.
• Sales and Marketing: Leverage detailed company and contact data to tailor your outreach and improve engagement with key decision-makers.
• Risk Management: Assess company stability and industry positioning with our detailed financial data.
• Strategic Planning: Utilize our extensive company data for scenario planning and strategic business decisions.

Why Choose Success.ai? Choose Success.ai for its robust US Company Data capabilities. Our commitment to providing detailed, accurate, and up-to-date information, paired with our innovative API technology, makes us a leader in the data services industry. Let us help you harness the power of data to propel your business forward.

And no one beats us on price!

This dataset tracks annual hispanic student percentage from 1998 to 2023 for Eagleridge Enrichment Program vs. Arizona and Mesa Unified District (4235) School District

Table S4. Dominant and combinatorial features of enrichment in 434 functional classes of TCGA breast cancer data. The table shows the full list of significantly enriched gene sets and their combinatorial relations for TCGA breast cancer data. The reduced functional category for each gene set is also reported. An NA entry denotes that the gene set and its reduced functional category are identical. (XLSX 28 kb)

A.  = APAP, I.  = IFN-β, V.  = Vehicle, I.A.  = IFN-β+APAP. Comp.  = Comparison, Reg.  = Regulation and ‘+’ indicates up-regulated and ‘−’indicates down-regulated., Genes = Genes Enriched/Total Genes in Set, NES = Normalized Enrichment Score, FDR = False Discovery Rate.

Table S10. Identities of significant gene set overlap between TCGA breast cancer and METABRIC data. The table shows the full list of significantly enriched gene set overlap between TCGA breast cancer and METABRIC data. (XLSX 13 kb)

The gene ontologies (GO) listed were significantly different (adjusted p

The global Email Enrichment Tool market size was valued at USD 4,481.9 million in 2022 and is projected to register a CAGR of 17.2% from 2023 to 2030. Increasing demand for improved email marketing campaigns, growing popularity of AI and ML-powered tools, and rising need for personalized customer interactions drive market growth. Key market segments include cloud-based deployment, customer service applications, and North America as a prominent region. Prominent players like BeenVerified, FullContact, PeopleLooker, Clearbit, and BetaPage offer innovative solutions. Market growth is anticipated due to factors such as the growing volume of email communications, advancements in data analytics, and regulatory compliance requirements. However, concerns about data privacy and ethical considerations may pose challenges to the market's expansion. The global email enrichment tool market size is expected to reach USD 1.4 billion by 2026, exhibiting a CAGR of 16.5% during the forecast period. The market growth is primarily driven by the increasing adoption of email marketing campaigns, growing need for accurate and up-to-date customer data, and rising demand for personalized marketing experiences.

Enrichment of long DNA fragments for sequencing on Nanopore MinION. 1/8: non-enriched fluA cDNA. 2/8: enriched fluA cDNA. 3/8: non-enriched hCMV DNA. 4/8: enriched hCMV cDNA. 5/8: enrichment of Mtb H37Rv from 90% human DNA. 6/8: enrichment of Mtb H37Rv from 10% human DNA. 7/8: enrichment of MtbC from 90% human DNA. 8/8: enrichment of MtbC from 10% human DNA.

As part of the Northeast Coastal and Barrier Network's Estuarine Nutrient Enrichment Monitoring program, Network staff continued to estuarine water quality at several park units. This file contains spatial (i.e., not continuous) water quality data collected through the most recent field season at Gateway National Recreation Area.

This dataset contains a set of example data for a functional enrichment tutorial.

The field of phylogenetics is on the cusp of a major revolution, enabled by new methods of data collection that leverage both genomic resources and recent advances in DNA sequencing. Previous phylogenetic work has required labor-intensive marker development coupled with single-locus PCR and DNA sequencing on a clade-by-clade and marker-by-marker basis. Here, we present a new, cost-efficient, and rapid approach to obtaining data from hundreds of genes for potentially hundreds of individuals for deep and shallow phylogenetic studies. Specifically, we designed probes for target enrichment of >500 loci in highly-conserved anchor regions of vertebrate genomes (flanked by less conserved regions) from five model species and tested enrichment efficiency in non-model species up to 254 million years divergent from the nearest model. We found that hybrid enrichment using conserved probes (anchored enrichment) can recover a large number of unlinked loci that are useful at a diversity of phylogenetic timescales. This new approach has the potential to not only expedite resolution of deep-scale portions of the Tree of Life but also to greatly accelerate resolution of the large number of shallow clades that remain unresolved. The combination of low cost (~1% of the cost of traditional Sanger sequencing and ~3.5% of the cost of high-throughput amplicon sequencing for projects on the scale of 500 loci x 100 individuals) and rapid data collection (~2 weeks of laboratory time) are expected to make this approach tractable even for researchers working on systems with limited or non-existent genomic resources.

As part of the Northeast Coastal and Barrier Network's Estuarine Nutrient Enrichment Monitoring program, Network staff continued to estuarine water quality at several NCBN park units. This file contains spatial (i.e., not continuous) water quality data collected through the most recent field season.

The Data Enrichment Solution report features an extensive regional analysis, identifying market penetration levels across major geographic areas. It highlights regional growth trends and opportunities, allowing businesses to tailor their market entry strategies and maximize growth in specific regions.

This dataset tracks annual diversity score from 1998 to 2023 for Eagleridge Enrichment Program vs. Arizona and Mesa Unified District (4235) School District

In this study, we introduce FrozONE, a workflow for the generation of deep nuclear proteomes by quick, robust and scalable nucleus enrichment from snap-frozen tissue material. We benchmarked our workflow’s capability to enrich and quantify nuclear proteins from multiple tissues and show its competitiveness with conventional ultracentrifugation-based nucleus enrichment strategies, while requiring shorter processing time, cheaper instrumentation and bypassing the need of fresh tissue processing, thereby simplifying experimental logistics and increasing scalability.

As part of the Northeast Coastal and Barrier Network's Estuarine Nutrient Enrichment Monitoring program, Network staff and cooperators continued to monitor seagrass cover and health at several park units. This file contains seagrass monitoring data collected between 2003 and 2024 field season at Assateague Island National Seashore, Cape Cod National Seashore, and Fire Island National Seashore.

Dataset Card for "spotlight-laion-dalle-3-dataset-enrichment"

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As part of the Northeast Coastal and Barrier Network's Estuarine Nutrient Enrichment Monitoring program, Network staff continued to estuarine water quality at several park units. This file contains spatial (i.e., not continuous) water quality data collected through the most recent field season at Assateague Island National Seashore.