Data Enrichment Tool Market Outlook

The global data enrichment tool market size was valued at approximately USD 1.5 billion in 2023, and it is projected to reach around USD 5.8 billion by 2032, growing at a compound annual growth rate (CAGR) of 16.3% during the forecast period. This substantial growth is driven by the increasing demand for accurate, comprehensive, and quality data to support business intelligence and analytics in various sectors.

Several factors contribute to the robust growth of the data enrichment tool market. One of the primary drivers is the proliferation of big data across industries. Organizations are constantly collecting vast amounts of data from various sources, and the need to refine this raw data into actionable insights has never been greater. Data enrichment tools play a crucial role in this transformation by enhancing and improving the quality of data, thereby enabling businesses to make informed decisions. The evolution of machine learning and artificial intelligence technologies has further augmented the capabilities of data enrichment tools, making them indispensable in the modern data-driven landscape.

Another significant growth factor is the increasing adoption of customer-centric business models. Enterprises are focusing on understanding their customers better to provide personalized experiences, and enriched data is key to achieving this goal. By integrating various data points and ensuring their accuracy and relevance, data enrichment tools help in building comprehensive customer profiles. This, in turn, leads to more effective marketing strategies, enhanced customer satisfaction, and improved retention rates. Additionally, the rise of e-commerce and digital platforms has necessitated the need for enriched data to gain a competitive edge in the market.

The regulatory landscape surrounding data privacy and security is also a pivotal factor influencing the growth of the data enrichment tool market. With stringent regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), organizations are under immense pressure to maintain high standards of data accuracy and compliance. Data enrichment tools assist in ensuring that the data used by companies is not only accurate but also compliant with these regulations. This aspect is particularly crucial for sectors such as BFSI and healthcare, where data integrity and privacy are paramount.

In the rapidly evolving landscape of data enrichment, the role of an Alternative Data Provider has become increasingly significant. These providers offer unique datasets that are not traditionally available through conventional data sources. By leveraging alternative data, organizations can gain a competitive edge by uncovering hidden patterns and insights that might otherwise go unnoticed. This data can include information from social media, satellite imagery, web traffic, and more, providing a more comprehensive view of market trends and consumer behavior. The integration of alternative data into enrichment tools allows businesses to enhance their analytical capabilities, leading to more informed decision-making and strategic planning. As the demand for diverse and high-quality data continues to grow, the influence of Alternative Data Providers is expected to expand, offering new opportunities for innovation and growth in the data enrichment tool market.

From a regional perspective, North America holds the largest share of the data enrichment tool market. The presence of major technology players and the high adoption rate of advanced analytics solutions in this region significantly contribute to its dominance. However, the Asia Pacific region is anticipated to witness the highest growth rate during the forecast period. The rapid digital transformation, increasing internet penetration, and the burgeoning e-commerce industry in countries like China and India are key factors driving the market in this region. Europe and Latin America also present substantial growth opportunities due to the increasing focus on data-driven decision-making processes across industries.

Component Analysis

The data enrichment tool market is segmented by components into software and services. The software component dominates the market due to the increasing adoption of sophisticated data enrichment platforms that offer advanced features like machine learning integration, real-time data processing, and extensive data analytics capabilities. These software s

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Professional Context Detailed company information (name, domain, revenue, size, industry) Career positioning (job title, seniority, department) Verified business contact details

Contact Verification Phone number validation with type classification (direct, personal, mobile) Address verification with USPS DPV code validation Email validation and deliverability scoring

Digital Footprint Social media profile correlation (LinkedIn) Digital engagement indicators

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The B2B Data Enrichment 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 expand at a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching approximately $15 billion by 2033. This significant expansion is fueled by several key factors. Firstly, the rising adoption of data-driven marketing strategies necessitates high-quality, enriched data for targeted campaigns and improved lead conversion rates. Secondly, the proliferation of data sources and the complexity of managing them across various platforms creates a demand for tools that automate and streamline the enrichment process. Finally, evolving privacy regulations necessitate tools that ensure data compliance, further driving market growth. Large enterprises are currently the largest segment within the market, though Small and Medium-sized Enterprises (SMEs) are exhibiting a rapid adoption rate, demonstrating substantial potential for future growth. The most popular enrichment types include contact information enrichment and company information enrichment, while technographic and intent data enrichment are witnessing significant growth as businesses seek to understand customer behaviour and technology usage more precisely. Despite this positive outlook, several factors restrain market growth. The high cost of implementation for some advanced tools can present a barrier to entry, particularly for smaller businesses. Furthermore, data security concerns and the risk of data breaches remain significant challenges that require robust security measures. Another challenge lies in the accuracy and reliability of data provided by enrichment tools; inconsistent data quality can lead to flawed business decisions. The market is highly competitive, with numerous established and emerging players vying for market share, leading to price pressures and a focus on differentiation through innovative features and enhanced customer support. This competitive landscape fosters innovation, ultimately benefitting the end-user with a diverse range of solutions. Geographical regions like North America and Europe currently dominate market share, driven by advanced technological infrastructure and higher adoption rates; however, the Asia-Pacific region is emerging as a significant growth market, fueled by increasing digitalization and economic growth.

This data archive accompanies our work, in which we analyze a pseudo-relevance retrieval method that is based on the results of web search engines. By enriching topics with text data from web search engine result pages and linked contents, we train topic-specific and cost-efficient classifiers that can be used to search test collections for relevant documents. Building up on attempts that were initially made at TREC Common Core 2018 by Grossman and Cormack, we address the questions of system performance over time considering different search engines, queries and test collections. Our experimental results show how and to which extent the considered components affect the retrieval performance. Overall, the analyzed method is robust in terms of average retrieval performance and a promising way to use web content for the data enrichment of relevance feedback methods.

The MRO (Maintenance, Repair, and Operations) Data Cleansing and Enrichment Service market is experiencing robust growth, driven by the increasing need for accurate and reliable data across various industries. The digital transformation sweeping manufacturing, oil & gas, and transportation sectors is creating a surge in data volume, but much of this data is fragmented, incomplete, or inconsistent. This necessitates sophisticated data cleansing and enrichment solutions to improve operational efficiency, predictive maintenance capabilities, and informed decision-making. The market's expansion is fueled by the adoption of Industry 4.0 technologies, including IoT sensors and connected devices, generating massive datasets requiring rigorous cleaning and enrichment processes. Furthermore, regulatory compliance pressures and the need for improved supply chain visibility are contributing to strong market demand. We estimate the 2025 market size to be $2.5 billion, with a Compound Annual Growth Rate (CAGR) of 15% projected through 2033. This growth is primarily driven by the Chemical, Oil & Gas, and Pharmaceutical industries' increasing reliance on data-driven insights for optimizing operations and reducing downtime. Significant regional variations exist, with North America and Europe currently holding the largest market shares, but rapid growth is anticipated in the Asia-Pacific region due to the increasing industrialization and digitalization initiatives underway. The market segmentation by application reveals a diverse landscape. The Chemical and Oil & Gas industries are early adopters, followed closely by Pharmaceuticals, leveraging data cleansing and enrichment to improve safety, comply with regulations, and optimize asset management. The Mining and Transportation sectors are also rapidly adopting these services to enhance operational efficiency and predictive maintenance. Within the types of services offered, data cleansing represents a larger share currently, focusing on identifying and removing inconsistencies and inaccuracies. However, data enrichment, which involves augmenting existing data with external sources to improve its completeness and context, is experiencing accelerated growth due to its capacity to unlock deeper insights. While several established players operate in the market, such as Enventure, Sphera, and OptimizeMRO, the landscape is also characterized by numerous smaller, specialized service providers, indicative of a competitive and dynamic market structure. The presence of regional players further suggests opportunities for both consolidation and expansion in the coming years.

Salutary Data is a boutique, B2B contact and company data provider that's committed to delivering high quality data for sales intelligence, lead generation, marketing, recruiting / HR, identity resolution, and ML / AI. Our database currently consists of 148MM+ highly curated B2B Contacts ( US only), along with over 4M+ companies, and is updated regularly to ensure we have the most up-to-date information.

We can enrich your in-house data ( CRM Enrichment, Lead Enrichment, etc.) and provide you with a custom dataset ( such as a lead list) tailored to your target audience specifications and data use-case. We also support large-scale data licensing to software providers and agencies that intend to redistribute our data to their customers and end-users.

What makes Salutary unique? - We offer our clients a truly unique, one-stop aggregation of the best-of-breed quality data sources. Our supplier network consists of numerous, established high quality suppliers that are rigorously vetted. - We leverage third party verification vendors to ensure phone numbers and emails are accurate and connect to the right person. Additionally, we deploy automated and manual verification techniques to ensure we have the latest job information for contacts. - We're reasonably priced and easy to work with.

Products: API Suite Web UI Full and Custom Data Feeds

Services: Data Enrichment - We assess the fill rate gaps and profile your customer file for the purpose of appending fields, updating information, and/or rendering net new “look alike” prospects for your campaigns. ABM Match & Append - Send us your domain or other company related files, and we’ll match your Account Based Marketing targets and provide you with B2B contacts to campaign. Optionally throw in your suppression file to avoid any redundant records. Verification (“Cleaning/Hygiene”) Services - Address the 2% per month aging issue on contact records! We will identify duplicate records, contacts no longer at the company, rid your email hard bounces, and update/replace titles or phones. This is right up our alley and levers our existing internal and external processes and systems.

Presentation of the 32 items on the consolidated criteria for reporting qualitative research (COREQ) checklist. The information is used for the report on a focus group that was conducted as part of the preparation of a publication. The title of the article is (as of submission on 18.03.2024): 'Streamlining Concept Mapping for Clinical Data Enrichment: A Process-focused approach in Medical Data Warehouses'.

Email Enrichment Tool Market Outlook

The global email enrichment tool market size was valued at approximately USD 1.2 billion in 2023 and is expected to reach USD 3.8 billion by 2032, growing at a CAGR of 13.2% during the forecast period. This growth is driven by the increasing demand for data-driven decision-making and the rising need for personalized customer engagement across various industries.

One of the primary growth factors for the email enrichment tool market is the expanding adoption of data analytics and customer relationship management (CRM) tools. Organizations are increasingly relying on enriched datasets to enhance their marketing strategies and improve customer engagement. By integrating email enrichment tools with existing CRM systems, companies can obtain a more comprehensive view of their customers, leading to more effective and personalized marketing campaigns.

Another significant driver for market growth is the surge in digital transformation initiatives across various sectors. As businesses digitize their operations, the volume of data generated has grown exponentially. Email enrichment tools help in filtering and organizing this data, making it more actionable. This not only improves operational efficiency but also enhances the accuracy of business intelligence and analytics, thus driving the demand for these tools.

The increasing focus on regulatory compliance and data privacy is also contributing to the market's expansion. With stricter regulations like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA), businesses are under pressure to ensure that their data practices are compliant. Email enrichment tools aid in maintaining data accuracy and integrity, thereby supporting regulatory compliance efforts and minimizing legal risks.

In terms of regional outlook, North America holds the largest market share due to the high adoption rate of advanced technologies and the presence of major market players. The Asia Pacific region is expected to exhibit the highest growth rate during the forecast period, driven by rapid digitalization and increasing investments in data analytics solutions. Europe also shows significant potential, bolstered by stringent data protection laws and a robust technological infrastructure.

In the realm of B2B marketing, the demand for effective lead generation tools is on the rise. A B2B Lead Generation Tool can significantly enhance the efficiency of marketing campaigns by automating the process of identifying and nurturing potential business clients. These tools are designed to streamline the lead acquisition process, ensuring that sales teams can focus on converting leads into customers. By leveraging data analytics and AI, B2B lead generation tools provide valuable insights into customer behavior and preferences, enabling businesses to tailor their marketing strategies more effectively. This not only improves conversion rates but also enhances customer engagement and satisfaction, making it an indispensable asset for modern businesses.

Component Analysis

The email enrichment tool market is segmented by component into software and services. The software segment dominates the market due to its scalability and ease of integration with existing business systems. These software solutions are increasingly being adopted by organizations to automate the process of data enrichment, thereby saving time and reducing human error. Moreover, advancements in artificial intelligence and machine learning are further enhancing the capabilities of these software tools, making them more efficient and reliable.

On the other hand, the services segment is also witnessing substantial growth. This includes professional and managed services, such as consulting, implementation, and maintenance. Organizations often lack the in-house expertise to fully leverage email enrichment tools, thereby driving the demand for professional services. Managed services, in particular, are gaining traction as they offer ongoing support and optimization, allowing businesses to focus on their core operations while ensuring that their data enrichment processes are running smoothly.

The software segment is also benefiting from the increasing

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Data Enrichment for Comprehensive Insights Integrate enriched LinkedIn data seamlessly into your CRM or any analytical system to gain a comprehensive understanding of your market landscape. This enriched view helps you navigate through complex business environments, enhancing decision-making and strategic planning.

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Accelerate B2B Lead Generation Identify and connect directly with key stakeholders and decision-makers to shorten your sales cycles and close deals quicker. With access to high-level contacts in your industry, streamline your lead generation process and enhance the efficiency of your sales funnel.

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Strategic Use Cases for Enhanced Business Performance - Email Marketing: Leverage accurate contact details for personalized and effective email marketing campaigns. - Online Marketing and Digital Advertising: Use detailed demographic and professional data to refine your online presence and digital ad targeting. - Data Enrichment and B2B Lead Generation: Enhance your databases and accelerate your lead generation with enriched, up-to-date data. - Competitive Intelligence and Market Research: Stay ahead of the curve by using our data for deep market analysis and competitive research.

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Our proprietary People Data is a mobile user dataset that connects anonymous IDs to a wide range of attributes, including demographics, device ownership, audience segments, key locations, and more. This rich dataset allows our partner brands to gain a comprehensive view of consumers based on their personas, enabling them to derive actionable insights swiftly.

People Data Graph

• Record Count: 900 Million
• Capturing Frequency: Once per Event
• Delivering Frequency: Once per Month
• Updated: Monthly

People Data

Reach Our extensive data reach covers a variety of categories, encompassing user demographics, Mobile Advertising IDs (MAID), device details, locations, affluence, interests, traveled countries, and more. Data Export Methodology We dynamically collect and provide the most updated data and insights through the best-suited method at appropriate intervals, whether daily, weekly, monthly, or quarterly.

Business Needs

Our People Data caters to various business needs, offering valuable insights for consumer analysis, data enrichment, sales forecasting, and retail analytics, empowering brands to make informed decisions and optimize their strategies.

The Email Enrichment Tool market is experiencing robust growth, driven by the increasing need for businesses to improve their marketing and sales effectiveness, enhance customer service interactions, and optimize human resource processes. The market's expansion is fueled by the rising adoption of cloud-based solutions, offering scalability, accessibility, and cost-effectiveness compared to on-premises deployments. Key trends include the integration of email enrichment tools with CRM systems for seamless data management and improved lead qualification, the increasing demand for real-time data enrichment to enhance customer engagement, and a focus on data privacy and compliance with regulations like GDPR. While the market faces restraints such as the cost of implementation and the potential for data inaccuracies, the overall outlook remains positive, driven by the substantial return on investment offered by improved campaign targeting, personalized communications, and streamlined operational processes. We estimate the 2025 market size to be $2.5 billion, based on observed growth in related marketing technology sectors and projections for continued digital transformation across various industries. A projected Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033 suggests the market will surpass $8 billion by 2033. The North American market currently holds a significant share, driven by early adoption and strong technological infrastructure. However, Asia-Pacific is poised for significant growth due to increasing digitalization and a burgeoning business landscape. The competitive landscape is characterized by a diverse range of established players and innovative startups. Companies like ZoomInfo, Lead411, and Clearbit are prominent players, offering comprehensive solutions and extensive data coverage. Smaller players focus on niche markets or specific functionalities, fostering innovation and competition. The market's future hinges on the continued development of AI-powered enrichment capabilities, enhanced data accuracy, and stronger integration with other marketing automation tools. The increasing focus on data security and ethical data usage will also shape the market's trajectory, requiring vendors to prioritize data privacy and compliance. Further segmentation within the market is likely, with specialized tools emerging to address the specific needs of different industry verticals and business sizes.

Success.ai empowers businesses with dynamic, enterprise-grade B2B company datasets, enabling deep insights into over 28 million verified company profiles, including specialized segments like e-commerce and private companies. Ideal for those targeting diverse company types, our data supports strategic initiatives from sales to competitor analysis.

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This corporate dataset is a refined version of our company datasets, consisting of 35M+ data records.

It’s an excellent data solution for companies with limited data engineering capabilities and those who want to reduce their time to value. You get filtered, cleaned, unified, and standardized B2B data. This data is also enriched by leveraging a carefully instructed large language model (LLM).

AI-powered data enrichment offers more accurate information in key data fields, such as company descriptions. It also produces over 20 additional data points that are very valuable to B2B businesses. Enhancing and highlighting the most important information in web data contributes to quicker time to value, making data processing much faster and easier.

For your convenience, the Corporate Data dataset allows you choose from multiple data formats (Parquet, JSON, JSONL, or CSV) and select suitable delivery frequency (quarterly, monthly, or weekly).

Coresignal is a leading public business data provider in the web data sphere with an extensive focus on corporate information and public employee profiles. More than 3B data records in different categories enable companies to build data-driven products and generate actionable insights. Coresignal is exceptional in terms of data freshness, with 890M+ records updated monthly for unprecedented accuracy and relevance.

The B2B Data Enrichment Tool market is witnessing a significant transformation as businesses increasingly recognize the value of high-quality, comprehensive data in driving decision-making processes and enhancing customer relationships. At its core, a B2B data enrichment tool enables organizations to enhance their e

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At BatchData, we are committed to delivering the most accurate and comprehensive datasets in the industry. Our Deed Dataset exemplifies our dedication to quality and precision:

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This dataset contains data used to assess a method designed to implement Food Consumption DataBase (FCDB) enrichment task and associated results for a given use case. This use case consists in finding in USDA values associated with nutrients vitamin C, vitamin B12 and iron when they are not known in Ciqual for a given food. This data set contains three files: (1) Automatic alignments of Ciqual foods on FoodOn foods, (2) Automatic alignments of USDA foods on FoodOn foods, (3) the list of 99 Ciqual food products for which at least one of the values associated with the 3 nutrients is not known in Ciqual and at least one similar term can be found in USDA, (4) the subset of 75 alignments Ciqual->USDA found using FoodOn as pivot ontology.

A biomedical dataset supporting ontology enrichment from texts, by concept discovery and placement, adapting the MedMentions dataset (PubMed abstracts) with SNOMED CT of versions in 2014 and 2017 under the Diseases (disorder) sub-category and the broader categories of Clinical finding, Procedure, and Pharmaceutical / biologic (CPP) product.

The dataset is documented in the work, Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement, on arXiv: https://arxiv.org/abs/2306.14704 (CIKM 2023). The companion code is available at https://github.com/KRR-Oxford/OET.

Out-of-KB mention discovery (including the settings of mention-level data) is further partly documented in the work, Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking, on arXiv: https://arxiv.org/abs/2302.07189 (CIKM 2023).

ver4: we made a version of mention-level data for out-of-KB discovery and concept placement separately: the former (for out-of-KB discovery) has out-of-KB mentions in training data, while the latter (for concept placement) has only out-of-KB mentions during the evaluation (validation and test) and not in the training data. Also, we split the original "test-NIL.jsonl" (now "test-NIL-all.jsonl") into "valid-NIL.jsonl" and "test-NIL.jsonl" for a better evaluation.

ver3: we revised and updated mention-level data (syn_full, synonym augmentation setting) and the folder structure, and also updated the edge catalogues with complex edges.

ver2: we revised the mention-level data by only keeping out-of-KB mentions (or "NIL" mentions) associated with one-hop edges (including leaf nodes, as

Acknowledgement of data sources and tools below:

SNOMED CT https://www.nlm.nih.gov/healthit/snomedct/archive.html (and use snomed-owl-toolkit to form .owl files) UMLS https://www.nlm.nih.gov/research/umls/licensedcontent/umlsarchives04.html (and mainly use MRCONSO for mapping UMLS to SNOMED CT)

MedMentions https://github.com/chanzuckerberg/MedMentions (source of entity linking)

Protégé http://protegeproject.github.io/protege/

snomed-owl-toolkit https://github.com/IHTSDO/snomed-owl-toolkit DeepOnto https://github.com/KRR-Oxford/DeepOnto (based on OWLAPI https://owlapi.sourceforge.net/) for ontology processing and complex concept verbalisation

Our identity dataset allows businesses to submit their customer IDs, which our platform matches to identities across various platforms and devices. This process opens up new communication channels by using multiple data points to determine or probabilistically match users to their corresponding identities.

Identity Data Reach

Our dataset links device data to hashed email data from first-party data owners. Leveraging our identity graph, we connect IP addresses, device IDs, and other platform identities, enabling more comprehensive communication channels.

• Record Count: 500 Million+
• Updated: Monthly
• Historical Data: Past 6 Months

Data Export Methodology

We dynamically collect and update data, providing the latest insights through Data Clean Rooms. This method ensures privacy compliance while enriching your data according to your specific requirements.

Use Cases

Our identity dataset is crucial for identity resolution and data enrichment, empowering businesses to enhance their customer data and expand their reach across multiple platforms and devices.

DEPRECATED - current version: https://figshare.com/articles/dataset/Dataset_An_IoT-Enriched_Event_Log_for_Process_Mining_in_Smart_Factories/20130794

Modern technologies such as the Internet of Things (IoT) are becoming increasingly important in various domains, including Business Process Management (BPM) research. One main research area in BPM is process mining, which can be used to analyze event logs, e.g., for checking the conformance of running processes. However, there are only a few IoT-based event logs available for research purposes. Some of them are artificially generated, and the problem occurs that they do not always completely reflect the actual physical properties of smart environments. In this paper, we present an IoT-enriched XES event log that is generated by a physical smart factory. For this purpose, we created the DataStream XES extension for representing IoT-data in event logs. Finally, we present some preliminary analysis and properties of the log.

Abstract
Premise of the study: The Compositae (Asteraceae) are a large and diverse family of plants, and the most comprehensive phylogeny to date is a meta-tree based on 10 chloroplast loci that has several major unresolved nodes. We describe the development of an approach that enables the rapid sequencing of large numbers of orthologous nuclear loci to facilitate efficient phylogenomic analyses. Methods and Results: We designed a set of sequence capture probes that target conserved orthologous sequences in the Compositae. We also developed a bioinformatic and phylogenetic workflow for processing and analyzing the resulting data. Application of our approach to 15 species from across the Compositae resulted in the production of phylogenetically informative sequence data from 763 loci and the successful reconstruction of known phylogenetic relationships across the family. Conclusions: These methods should be of great use to members of the broader Compositae community, and the general approach should also be of use to researchers studying other families.