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!

A complete customer base is important, as you cannot (properly) reach your customers when data is missing. With our Data Enrichment solution, missing data can be added to your customer base. This starts with validating the contact information you already have, such as names, addresses, phone numbers and email addresses. Besides, we can also enrich your database with specific wishes, such as real estate, location and / or consumer data.

Benefits: - An accurate customer base - Always reach the right (potential) customers - Reconnect with dormant accounts - Data enrichment as desired

Level 2 and Level 3 Data Enrichment Market Outlook

According to our latest research, the global Level 2 and Level 3 Data Enrichment market size reached USD 5.14 billion in 2024, with robust growth driven by the increasing demand for advanced data quality solutions across industries. The market is expected to expand at a CAGR of 13.2% during the forecast period, reaching USD 15.05 billion by 2033. This remarkable growth trajectory is largely attributed to the surging adoption of data-driven decision-making processes, regulatory compliance requirements, and the need for seamless customer experiences across all organizational touchpoints.

A primary growth factor propelling the Level 2 and Level 3 Data Enrichment market is the exponential increase in data volumes generated by businesses worldwide. As organizations continue to digitize operations and interact with customers through multiple channels, the volume and complexity of data have surged significantly. This has magnified the importance of data enrichment solutions that can transform raw, fragmented, or incomplete data into actionable intelligence. Level 2 and Level 3 Data Enrichment, which involve advanced processes such as data validation, deduplication, and integration of third-party data sources, are essential for enhancing the accuracy, relevance, and completeness of enterprise data. The ability to leverage enriched data for personalized marketing, improved risk assessment, and operational efficiency is driving widespread adoption across sectors such as BFSI, healthcare, and retail.

Another key driver for the market is the tightening regulatory landscape around data privacy, security, and compliance. Industries such as banking, financial services, and insurance (BFSI), as well as healthcare, are subject to stringent regulations that require meticulous data management and reporting. Data enrichment tools that support compliance with frameworks such as GDPR, CCPA, and HIPAA are in high demand, as they help organizations maintain data integrity, reduce risks associated with incomplete or inaccurate records, and ensure regulatory adherence. Furthermore, the growing focus on fraud detection and risk mitigation has prompted companies to invest in sophisticated enrichment solutions, particularly those offering Level 3 capabilities such as behavioral analytics and predictive modeling.

Technological advancements and the proliferation of cloud-based data enrichment platforms have further accelerated market growth. The shift towards cloud deployment models enables organizations to access scalable, cost-effective, and easily integrable enrichment solutions without heavy upfront investments in infrastructure. This trend is particularly pronounced among small and medium enterprises (SMEs), which are increasingly adopting cloud-based platforms to enhance data quality and gain a competitive edge. Additionally, the integration of artificial intelligence (AI) and machine learning (ML) into data enrichment processes is enabling real-time analytics, automation, and continuous improvement of data quality, making advanced enrichment solutions more accessible and impactful.

From a regional perspective, the North American market continues to dominate the Level 2 and Level 3 Data Enrichment landscape, accounting for over 38% of global revenue in 2024. This leadership is underpinned by the presence of major technology providers, early adoption of advanced analytics, and a mature regulatory framework. However, the Asia Pacific region is emerging as the fastest-growing market, with a projected CAGR of 16.4% through 2033, driven by rapid digital transformation, expanding e-commerce, and increasing investments in data infrastructure across countries such as China, India, and Japan. Europe also holds a significant share, fueled by strict data protection regulations and a strong focus on data-driven innovation in industries like finance and healthcare.

Type Analysis

The Level 2 and Level 3 Data Enri

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.

Insurance Third-Party Data Enrichment Market Outlook

According to our latest research, the global insurance third-party data enrichment market size reached USD 2.56 billion in 2024, demonstrating the sector’s robust expansion fueled by the increasing demand for advanced analytics in the insurance industry. With a compelling compound annual growth rate (CAGR) of 13.4% projected for the forecast period, the market is expected to achieve a value of USD 7.87 billion by 2033. The primary growth factor driving this market is the insurance sector’s accelerating shift towards data-driven decision-making, leveraging third-party data to enhance risk assessment, streamline claims management, and personalize customer experiences.

The surge in digital transformation initiatives across the insurance industry is a pivotal growth catalyst for the insurance third-party data enrichment market. Insurers are increasingly seeking ways to differentiate their offerings and improve operational efficiencies in a highly competitive landscape. By integrating external data sources—such as demographic, behavioral, and technographic data—insurers gain deeper insights into customer needs, risk profiles, and emerging market trends. This enables more accurate underwriting, proactive fraud detection, and tailored product recommendations, which collectively boost customer satisfaction and retention rates. Furthermore, the proliferation of connected devices, IoT, and big data analytics platforms is expanding the pool of actionable data, empowering insurers to make more informed decisions across the value chain.

Another significant growth factor is the rising incidence of insurance fraud and the corresponding need for robust fraud detection mechanisms. Third-party data enrichment solutions empower insurers to cross-verify applicant information, identify anomalies, and flag suspicious activities in real-time. Advanced machine learning algorithms and AI-powered analytics are increasingly being integrated into these solutions, enhancing their ability to detect complex fraud patterns that traditional methods may overlook. As regulatory scrutiny intensifies and insurers face mounting pressure to minimize losses, investment in sophisticated data enrichment tools is becoming indispensable for maintaining profitability and compliance.

The evolving regulatory landscape is also shaping market growth, as insurers must navigate a complex web of data privacy laws and compliance requirements. The adoption of third-party data enrichment solutions facilitates adherence to these regulations by ensuring data accuracy, enhancing transparency, and supporting robust audit trails. In addition, partnerships between insurers and data providers are fostering the development of innovative enrichment solutions tailored to specific insurance segments such as life, health, and property & casualty insurance. These collaborations are accelerating the adoption of enriched data across diverse applications, further propelling market expansion.

From a regional perspective, North America continues to dominate the insurance third-party data enrichment market, accounting for the largest revenue share in 2024, driven by the presence of leading insurance providers, advanced data infrastructure, and a strong regulatory framework. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid digitalization, increasing insurance penetration, and a burgeoning middle class. Meanwhile, Europe is witnessing steady growth, supported by stringent regulatory mandates and a mature insurance ecosystem. Latin America and the Middle East & Africa are also experiencing gradual adoption, with insurers in these regions increasingly recognizing the value of third-party data enrichment to enhance competitiveness and operational efficiency.

Component Analysis

The insurance third-party data enrichment market is segmented by component into solutions and services, each playing a c

Third-Party Data Enrichment for Insurance Market Outlook

According to our latest research, the global market size for Third-Party Data Enrichment for Insurance reached USD 2.1 billion in 2024, with a robust year-on-year growth momentum. The market is expected to expand at a CAGR of 13.2% from 2025 to 2033, culminating in a projected value of USD 6.2 billion by 2033. This dynamic growth is primarily driven by the increasing need for insurance companies to enhance customer profiling, risk assessment, and fraud detection through advanced data analytics and external data sources. As per our latest research, insurers are rapidly adopting third-party data enrichment solutions to gain a competitive edge, improve operational efficiency, and deliver personalized services in a highly regulated and customer-centric environment.

A key growth factor propelling the Third-Party Data Enrichment for Insurance market is the exponential increase in the volume and variety of data available from external sources. Insurers are leveraging demographic, firmographic, technographic, and behavioral data to gain deeper insights into customer needs, preferences, and risk profiles. The integration of third-party data allows for more accurate underwriting, dynamic pricing, and targeted marketing strategies, thereby reducing loss ratios and improving profitability. Furthermore, the proliferation of digital channels and the rise of insurtech startups have intensified competition, compelling traditional insurers to invest in advanced data enrichment solutions to stay relevant and agile in a rapidly evolving marketplace.

Another significant driver is the growing prevalence of digital fraud and cyber threats, which has heightened the need for robust fraud detection and risk assessment mechanisms. Third-party data enrichment empowers insurers to validate customer identities, detect anomalies, and flag suspicious activities in real time. This capability is particularly crucial in the context of online policy issuance and claims management, where the risk of fraudulent transactions is substantially higher. Additionally, regulatory requirements such as Know Your Customer (KYC) and Anti-Money Laundering (AML) have made it imperative for insurers to access comprehensive and up-to-date external data sources to ensure compliance and mitigate financial crime risks.

The ongoing digital transformation across the insurance industry is further accelerating the adoption of third-party data enrichment solutions. As insurers transition from legacy systems to cloud-based platforms, they are increasingly seeking scalable and flexible data enrichment tools that can seamlessly integrate with their core systems. The emergence of artificial intelligence, machine learning, and big data analytics has enabled insurers to extract actionable insights from vast and disparate datasets, thereby enhancing decision-making processes across the value chain. Moreover, partnerships between insurers and data providers are fostering innovation and enabling the development of tailored solutions that address specific industry challenges and customer expectations.

Regionally, North America commands the largest share of the Third-Party Data Enrichment for Insurance market, driven by the presence of leading insurance companies, advanced IT infrastructure, and a high degree of digital adoption. Europe follows closely, with stringent regulatory frameworks and a strong focus on data privacy and security. The Asia Pacific region is witnessing the fastest growth, fueled by rising insurance penetration, rapid urbanization, and increasing investments in digital technologies. Latin America and the Middle East & Africa are also emerging as promising markets, supported by ongoing regulatory reforms and the growing adoption of insurtech solutions. Overall, the global market is characterized by intense competition, continuous innovation, and a strong emphasis on data-driven decision-making.

Component Analysis

The Component segmen

Payment Data Enrichment Market Outlook

According to our latest research, the global Payment Data Enrichment market size reached USD 1.72 billion in 2024, reflecting robust adoption across diverse industries. The market is expected to grow at a CAGR of 21.4% from 2025 to 2033, driving the market size to an estimated USD 11.4 billion by 2033. This rapid expansion is primarily fueled by the increasing demand for advanced analytics, fraud prevention, and customer-centric solutions in the payment ecosystem, as organizations seek to transform raw transaction data into actionable intelligence for competitive advantage.

The primary growth driver in the Payment Data Enrichment market is the escalating volume and complexity of digital transactions globally. As financial institutions, retailers, and service providers process millions of daily transactions, there is a critical need to extract meaningful insights from this data. Payment data enrichment solutions empower organizations to append contextual information—such as merchant details, geolocation, and transaction categorization—to raw payment data, enabling more accurate analytics, improved customer experiences, and enhanced fraud detection. The proliferation of digital wallets, contactless payments, and e-commerce platforms has further amplified the demand for enriched data, which helps businesses personalize offerings and optimize operational strategies.

Another significant factor driving the Payment Data Enrichment market is the tightening regulatory landscape around financial transparency and anti-money laundering (AML) compliance. Governments and regulatory bodies across North America, Europe, and Asia Pacific are mandating stricter reporting and monitoring requirements for financial transactions. Payment data enrichment tools play a pivotal role in enabling organizations to meet these compliance standards by providing granular transaction details and risk profiles. This not only minimizes regulatory risks but also supports robust internal controls, making compliance management more efficient and cost-effective for businesses of all sizes.

Technological advancements in artificial intelligence, machine learning, and cloud computing are also accelerating the adoption of payment data enrichment solutions. AI-powered algorithms can rapidly analyze vast volumes of payment data, identify patterns, and generate actionable insights in real time. Cloud-based deployment models facilitate seamless integration, scalability, and accessibility, allowing organizations to leverage enrichment services without significant infrastructure investments. As payment ecosystems continue to digitalize, the synergy between data enrichment and emerging technologies will further unlock new use cases, from predictive analytics to real-time fraud prevention, fueling sustained market growth.

Regionally, North America leads the Payment Data Enrichment market, driven by the presence of major fintech companies, high digital payment penetration, and advanced regulatory frameworks. Europe follows closely, benefiting from stringent data privacy regulations and a mature financial sector. Asia Pacific is poised for the fastest growth, propelled by rapid digital transformation, expanding e-commerce, and increasing investments in financial technology across countries such as China, India, and Singapore. Latin America and the Middle East & Africa are also witnessing steady adoption, supported by financial inclusion initiatives and the modernization of banking infrastructure. This dynamic regional landscape underscores the global relevance and immense potential of payment data enrichment solutions in the coming years.

Component Analysis

The Payment Data Enrichment market by component is segmented into Solutions and Services. Solutions comprise software platforms and tools that automate the enrichment of payment data, providing features such as transaction categorization, merchant identification, and real-time analytics. The deman

Property Data Enrichment Market Outlook

According to our latest research, the global Property Data Enrichment market size stood at USD 3.2 billion in 2024, demonstrating robust momentum driven by digital transformation across real estate and allied sectors. The market is expected to expand at a CAGR of 15.4% over the forecast period, reaching a projected value of USD 11.4 billion by 2033. This rapid growth is primarily fueled by the increasing need for accurate, comprehensive, and real-time property data to enhance decision-making, risk assessment, and customer engagement in sectors such as real estate, insurance, and banking. As per our latest research, the adoption of advanced analytics, artificial intelligence, and cloud-based solutions is accelerating the evolution of the Property Data Enrichment market.

One of the primary growth drivers of the Property Data Enrichment market is the surging demand for actionable insights in property transactions and asset management. Organizations are increasingly recognizing that enriched property data—integrating ownership records, transaction histories, geospatial intelligence, and demographic profiles—can significantly improve the accuracy of property valuations, fraud detection, and market forecasting. The proliferation of smart technologies and IoT-enabled devices in buildings is further amplifying the volume and variety of data available for enrichment, enabling stakeholders to derive deeper insights into property conditions, usage patterns, and lifecycle events. This growing reliance on data-driven strategies is compelling both public and private sector entities to invest heavily in property data enrichment platforms and services.

Another crucial factor contributing to market growth is the changing regulatory landscape and the heightened emphasis on transparency and compliance in property-related transactions. Governments and regulatory bodies across the globe are mandating stricter due diligence, anti-money laundering (AML), and know-your-customer (KYC) requirements, particularly in real estate and financial services. This regulatory push is driving organizations to adopt comprehensive data enrichment solutions that can aggregate, validate, and update property-related information from multiple sources, thereby ensuring compliance and reducing operational risks. In addition, the increasing frequency of natural disasters and climate-related risks is prompting insurers and reinsurers to use enriched geospatial and risk data for more accurate underwriting and claims management, further expanding the addressable market.

The rise of digital platforms and the growing popularity of online property marketplaces are also accelerating the adoption of property data enrichment solutions. As consumers and businesses shift towards digital channels for property search, transactions, and management, the need for reliable, up-to-date, and context-rich property data becomes paramount. Leading real estate portals, mortgage lenders, and property management companies are leveraging enriched data to enhance user experience, personalize offerings, and streamline workflows. Furthermore, the integration of machine learning and artificial intelligence into data enrichment processes is enabling the automation of data cleansing, validation, and augmentation tasks, thereby reducing costs and improving data quality at scale.

From a regional perspective, North America remains the dominant market for property data enrichment, accounting for the largest share in 2024, followed by Europe and Asia Pacific. The high adoption of advanced technologies, the presence of major market players, and the early implementation of regulatory standards have positioned North America as a frontrunner. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid urbanization, increasing investments in smart city initiatives, and rising awareness of the benefits of data-driven property management. Europe, with its mature real estate sector and stringent data privacy regulations, is also witnessing significant traction, particularly in the commercial and insurance segments. Latin America and the Middle East & Africa are gradually catching up, supported by digital transformation initiatives and growing real estate investments.

BackgroundStudies using health administrative databases (HAD) may lead to biased results since information on potential confounders is often missing. Methods that integrate confounder data from cohort studies, such as multivariate imputation by chained equations (MICE) and two-stage calibration (TSC), aim to reduce confounding bias. We provide new insights into their behavior under different deviations from representativeness of the cohort.MethodsWe conducted an extensive simulation study to assess the performance of these two methods under different deviations from representativeness of the cohort. We illustrate these approaches by studying the association between benzodiazepine use and fractures in the elderly using the general sample of French health insurance beneficiaries (EGB) as main database and two French cohorts (Paquid and 3C) as validation samples.ResultsWhen the cohort was representative from the same population as the HAD, the two methods are unbiased. TSC was more efficient and faster but its variance could be slightly underestimated when confounders were non-Gaussian. If the cohort was a subsample of the HAD (internal validation) with the probability of the subject being included in the cohort depending on both exposure and outcome, MICE was unbiased while TSC was biased. The two methods appeared biased when the inclusion probability in the cohort depended on unobserved confounders.ConclusionWhen choosing the most appropriate method, epidemiologists should consider the origin of the cohort (internal or external validation) as well as the (anticipated or observed) selection biases of the validation sample.

ISO 20022 Data Enrichment Services Market Outlook

According to our latest research, the global ISO 20022 Data Enrichment Services market size is valued at USD 1.42 billion in 2024, and is projected to reach USD 4.66 billion by 2033, growing at a robust CAGR of 14.2% during the forecast period. This remarkable growth is primarily fueled by the accelerating global adoption of the ISO 20022 messaging standard across financial institutions, payment service providers, and corporates, as well as the increasing need for advanced data enrichment to support seamless interoperability, regulatory compliance, and operational efficiency in cross-border financial transactions.

The rapid shift towards digital payments and real-time transaction processing is a key growth factor for the ISO 20022 Data Enrichment Services market. As financial institutions worldwide migrate to the ISO 20022 standard, the complexity and volume of financial data are increasing exponentially. This surge necessitates sophisticated data enrichment services, including data mapping, validation, transformation, and cleansing, to ensure data quality, consistency, and compliance with evolving regulatory requirements. The ongoing modernization of payment infrastructures, coupled with the demand for enhanced customer experiences, is driving the adoption of these services across both established and emerging markets. Furthermore, the proliferation of fintech innovations and open banking initiatives is amplifying the need for enriched, interoperable data streams that can seamlessly integrate with diverse financial ecosystems.

Another significant driver for the ISO 20022 Data Enrichment Services market is the heightened focus on regulatory compliance and risk management. Financial authorities across major regions, such as the European Central Bank (ECB), the Federal Reserve, and the Monetary Authority of Singapore, are mandating the migration to ISO 20022 for high-value payment systems and securities transactions. This regulatory push compels banks, payment service providers, and corporates to invest in data enrichment solutions that can automate compliance checks, validate transaction data, and support anti-money laundering (AML) and know-your-customer (KYC) initiatives. The need for real-time monitoring and reporting of financial transactions, driven by stringent regulatory standards, is further boosting the demand for advanced data enrichment services that can deliver actionable insights and reduce operational risks.

The market is also witnessing substantial growth due to the increasing globalization of financial services and the expansion of cross-border payment networks. As organizations seek to streamline international transactions and reduce friction in global trade, the adoption of ISO 20022-compliant data enrichment solutions becomes imperative. These services enable financial institutions to harmonize disparate data formats, enhance transaction transparency, and improve straight-through processing (STP) rates. The rise of digital banking, e-commerce, and real-time settlements is accelerating the need for enriched, high-quality data that can support seamless interoperability across multiple jurisdictions and regulatory environments. This trend is expected to continue driving market growth over the forecast period, as organizations prioritize agility, scalability, and compliance in their digital transformation journeys.

From a regional perspective, North America and Europe currently dominate the ISO 20022 Data Enrichment Services market, accounting for over 62% of the global market share in 2024. This dominance is attributed to early adoption of ISO 20022 standards, strong regulatory frameworks, and significant investments in payment infrastructure modernization. However, the Asia Pacific region is emerging as a high-growth market, with a projected CAGR of 16.8% through 2033, driven by rapid digitalization, government-led financial inclusion initiatives, and the proliferation of real-time payment systems. Latin America and the Middle East & Africa are also witnessing increased adoption, albeit at a slower pace, as regional banks and fintechs ramp up efforts to align with global standards and enhance cross-border payment capabilities.

Factori houses an extensive dataset of US People data, providing valuable insights into individuals across various demographic and behavioral dimensions. Our US People Data section is dedicated to helping you understand the breadth and depth of the information available through our API.

Data Collection and Aggregation Our People data is gathered and aggregated through surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points. This ensures that the data you access is up-to-date and accurate.

Here are some of the data categories and attributes we offer within US People data Graph: - Geography: City, State, ZIP, County, CBSA, Census Tract, etc. - Demographics: Gender, Age Group, Marital Status, Language, etc. - Financial: Income Range, Credit Rating Range, Credit Type, Net Worth Range, etc. - Persona: Consumer type, Communication preferences, Family type, etc. - Interests: Content, Brands, Shopping, Hobbies, Lifestyle, etc. - Household: Number of Children, Number of Adults, IP Address, etc. - Behaviors: Brand Affinity, App Usage, Web Browsing, etc. - Firmographics: Industry, Company, Occupation, Revenue, etc. - Retail Purchase: Store, Category, Brand, SKU, Quantity, Price, etc.

Here's the data schema: Person_id first_name last_name gender age year month day full_address city state zipcode zip4 delivery_point_bar_code carrier_route walk_sequence_code fips_state_code fips_county_code country_name latitude longtitude address_type metropolitan_statistical_area core_based_statistical_area census_tract census_block
census_block_group primary_address pre_address street post_address address_suffix address_secondline address_abrev
census_median_home_value home_market_value property_build_year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type household_id census_median_household_income
household_size occupation_home_office
dwell_type household_income marital_status length_of_residence number_of_kids pre_school_kids single_parent working_women_in_house_hold homeowner children
adults generations net_worth education_level education_history occupation occuptation_business_owner credit_lines credit_card_user newly_issued_credit_card_user credit_range_new credit_cards loan_to_value and alot more...

Consortium Data Enrichment for Fraud Market Outlook

According to our latest research, the global Consortium Data Enrichment for Fraud market size reached USD 3.12 billion in 2024, demonstrating robust momentum amid rising digital threats. The market is expected to expand at a CAGR of 18.1% from 2025 to 2033, with the forecasted market size projected to reach USD 15.19 billion by 2033. This remarkable growth is primarily driven by the escalating sophistication of fraud schemes, the proliferation of digital transactions, and the urgent need for collaborative intelligence across industries. Organizations worldwide are increasingly leveraging consortium data enrichment solutions to enhance fraud detection, streamline compliance, and fortify risk management frameworks.

One of the primary growth factors fueling the Consortium Data Enrichment for Fraud market is the exponential increase in digital transactions and the corresponding surge in sophisticated fraud attempts. As consumers and businesses transition to online platforms for banking, e-commerce, and service delivery, fraudsters are evolving their tactics, exploiting vulnerabilities in legacy systems. Consortium data enrichment enables organizations to pool anonymized intelligence, providing a panoramic view of fraudulent patterns across entities and sectors. This collective approach significantly improves the accuracy and speed of fraud detection algorithms, reducing false positives and minimizing financial losses. The integration of advanced analytics, machine learning, and real-time data sharing further amplifies the efficacy of these solutions, making them indispensable for organizations seeking proactive fraud prevention.

Another significant driver is the tightening regulatory landscape, especially in sectors like banking, financial services, and insurance (BFSI). Regulatory bodies worldwide are mandating stricter compliance with anti-money laundering (AML), know your customer (KYC), and data privacy standards. Consortium data enrichment platforms facilitate seamless compliance by aggregating, validating, and enriching customer and transactional data from multiple sources. This not only streamlines regulatory reporting but also enhances customer onboarding and monitoring processes. The ability to collaborate within industry consortia while maintaining data privacy and security is a key factor propelling the adoption of these solutions, particularly among organizations operating in highly regulated environments.

The rapid advancement of artificial intelligence (AI) and machine learning (ML) technologies is further accelerating market growth. Modern consortium data enrichment solutions harness AI-driven analytics to identify emerging fraud typologies and adapt to evolving threat landscapes in real time. The integration of natural language processing (NLP) and behavioral analytics enables the detection of subtle anomalies and suspicious activities that traditional rule-based systems might overlook. As organizations seek to stay ahead of increasingly agile fraudsters, the demand for intelligent, adaptive, and collaborative data enrichment platforms is set to soar. Additionally, the growing emphasis on interoperability and data standardization across consortia is fostering innovation and driving market expansion.

From a regional perspective, North America currently dominates the Consortium Data Enrichment for Fraud market, accounting for over 38% of global revenue in 2024. The region’s leadership is attributed to the high concentration of BFSI institutions, advanced digital infrastructure, and early adoption of consortium-based fraud prevention initiatives. Europe follows closely, driven by stringent regulatory requirements and a strong focus on cross-border collaboration. Meanwhile, the Asia Pacific region is emerging as the fastest-growing market, fueled by rapid digitalization, burgeoning fintech ecosystems, and increasing investments in fraud prevention technologies. Latin America and the Middle East & Africa are witnessing steady growth, supported by regulatory reforms and the rising incidence of digital fraud.

Cross-Border Payment Data Enrichment Market Outlook

According to our latest research, the global market size for the Cross-Border Payment Data Enrichment Market reached USD 1.98 billion in 2024. The market is projected to grow at a robust CAGR of 13.7% from 2025 to 2033, reaching an estimated USD 6.01 billion by 2033. This remarkable growth is primarily driven by the increasing globalization of trade, the proliferation of digital commerce, and the rising demand for seamless, transparent, and compliant international payment processes. As businesses and consumers alike continue to expand their cross-border activities, the need for advanced data enrichment solutions to optimize payment accuracy, reduce fraud, and enhance regulatory compliance has never been more critical.

One of the primary growth factors propelling the Cross-Border Payment Data Enrichment Market is the rapid digitalization of global financial ecosystems. As international transactions become more frequent and complex, organizations are seeking reliable solutions to enrich payment data, ensuring accuracy and compliance with ever-evolving regulatory frameworks such as SWIFT, ISO 20022, and anti-money laundering (AML) standards. The integration of artificial intelligence (AI) and machine learning (ML) in data enrichment platforms is enabling real-time validation, error detection, and intelligent data mapping, significantly reducing transaction failures and operational costs. Moreover, financial institutions are leveraging these technologies to enhance customer experience, mitigate risks, and streamline reconciliation processes, thereby fueling market expansion.

Another significant driver is the exponential rise in e-commerce and cross-border retail activities. Online marketplaces and payment service providers are increasingly handling multi-currency, multi-jurisdictional transactions, which demand enriched data for accurate routing, settlement, and fraud prevention. Enhanced data enrichment not only improves straight-through processing (STP) rates but also supports dynamic currency conversion, tax calculation, and compliance with local regulations. As consumer expectations for instant, transparent, and error-free payments continue to rise, e-commerce platforms are investing heavily in advanced data enrichment solutions to maintain competitiveness and foster customer loyalty, further boosting market growth.

The emergence of open banking and the proliferation of fintech innovations are also reshaping the cross-border payment landscape. Open APIs and interoperability standards are enabling seamless data exchange between banks, fintechs, and third-party providers, creating new opportunities for data enrichment vendors. These developments are particularly impactful in regions with fragmented banking infrastructures, where enriched data can bridge gaps, enhance transaction transparency, and facilitate regulatory reporting. Furthermore, the growing emphasis on data privacy and security is prompting organizations to adopt enrichment solutions that ensure compliance with GDPR, CCPA, and other data protection laws, thereby driving sustained demand across multiple industry verticals.

From a regional perspective, North America and Europe are currently leading the Cross-Border Payment Data Enrichment Market, accounting for a combined market share of over 58% in 2024. However, the Asia Pacific region is emerging as the fastest-growing market, driven by rapid economic development, increased cross-border trade, and the widespread adoption of digital payment technologies. Countries such as China, India, and Singapore are witnessing a surge in international remittances and e-commerce transactions, creating substantial opportunities for data enrichment providers. Meanwhile, Latin America and the Middle East & Africa are gradually catching up, fueled by regulatory reforms, financial inclusion initiatives, and the entry of global fintech players. As cross-border payment volumes continue to rise across all regions, the demand for robust data enrichment solutions is expected to remain strong throughout the forecast period.

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ISO 20022 Remittance Data Enrichment Market Outlook

According to our latest research, the global ISO 20022 Remittance Data Enrichment market size reached USD 1.45 billion in 2024. The market is poised to expand at a robust CAGR of 17.2% during the forecast period, with the value projected to reach USD 5.01 billion by 2033. The primary growth factor driving this market is the rapid adoption of ISO 20022 messaging standards across financial institutions worldwide, aiming to enhance payment data quality, interoperability, and regulatory compliance.

The growth trajectory of the ISO 20022 Remittance Data Enrichment market is predominantly fueled by the increasing migration of global payment infrastructures to the ISO 20022 standard. This migration is not only a regulatory mandate in many regions but also a strategic move for banks and payment service providers to improve straight-through processing rates and reduce errors caused by incomplete or ambiguous remittance information. As real-time payments and cross-border transactions become the norm, the demand for advanced data enrichment solutions that can extract, validate, and standardize remittance data is surging. Additionally, the proliferation of digital banking and the expansion of open banking frameworks are further amplifying the need for robust data enrichment tools to facilitate seamless, transparent, and compliant payment flows.

Another significant driver is the growing complexity of regulatory requirements in the financial sector. Regulatory bodies across North America, Europe, and Asia Pacific are mandating the adoption of ISO 20022 to enhance transparency and traceability in payment systems. This has prompted financial institutions to invest heavily in data enrichment solutions that can ensure compliance while minimizing operational risks. The integration of artificial intelligence and machine learning technologies within data enrichment platforms is also playing a pivotal role in automating the extraction and validation of remittance data, thereby improving efficiency and reducing costs. As the volume and velocity of financial transactions continue to rise, organizations are recognizing the strategic importance of enriched remittance data for analytics, customer experience, and fraud detection.

Moreover, the increasing collaboration between banks, fintech firms, and technology vendors is fostering innovation in the ISO 20022 Remittance Data Enrichment market. These partnerships are leading to the development of interoperable solutions that can cater to diverse payment ecosystems, including retail, corporate, and government segments. The shift towards cloud-based deployment models is further democratizing access to advanced data enrichment capabilities, enabling even small and medium-sized enterprises to participate in global payment networks. As the market matures, vendors are focusing on offering scalable, modular, and API-driven solutions that can be easily integrated with existing core banking and payment processing systems, thus accelerating the pace of digital transformation in the financial sector.

From a regional perspective, North America and Europe are at the forefront of ISO 20022 adoption, driven by stringent regulatory mandates and the presence of large, technologically advanced financial institutions. However, the Asia Pacific region is emerging as a high-growth market, supported by rapid digitalization, increasing cross-border trade, and proactive government initiatives to modernize payment infrastructures. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as regional banks and payment service providers ramp up their investments in data enrichment technologies to stay competitive and compliant in the evolving payments landscape.

Component Analysis

The ISO 20022 Remittance Data Enrichment market is segmented by component into software and services, each playing a critical role in addressing the diverse needs

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

Data Discovers help tech companies with technology account intelligence along with their tech decision makers. We provide accounts and their technologies. for example. List of OKTA Users List of OneTrust Users List of Hubspot Users.

Use technology intelligence to target right account. win you sales goal.

Phenotypic plasticity is essential to the immune system, yet the factors that shape it are not fully understood. Here, we comprehensively analyze immune cell phenotypes including morphology across human cohorts by single-round multiplexed immunofluorescence, automated microscopy, and deep learning. Using the uncertainty of convolutional neural networks to cluster the phenotypes of 8 distinct immune cell subsets, we find that the resulting maps are influenced by donor age, gender, and blood pressure, revealing distinct polarization and activation-associated phenotypes across immune cell classes. We further associate T-cell morphology to transcriptional state based on their joint donor variability, and validate an inflammation-associated polarized T-cell morphology, and an age-associated loss of mitochondria in CD4+ T-cells. Taken together, we show that immune cell phenotypes reflect both molecular and personal health information, opening new perspectives into the deep immune phenotyping of individual people in health and disease. Methods This dataset accompanies the manuscript "Multiplexed high-throughput immune cell imaging reveals molecular health-associated phenotypes" by Yannik Severin et al., Science Advances, 2022. It includes: - knnlea.m: Matlab function for the presented Local Enrichment Analysis method - LEA_Example_Data.mat containing data from the manuscript to reproduce a LEA analysis - LEA_Example_Script.mat that runs through the analysis steps - README.txt

Success.ai’s B2B Contact Data Enrichment API empowers businesses to optimize their sales and marketing initiatives by providing seamless access to verified, continuously updated B2B contact information. Leveraging a database of over 700 million global profiles, our API enriches your existing records with critical data points, including job titles, work emails, phone numbers, LinkedIn URLs, and more.

This real-time, AI-validated enrichment ensures that you are always engaging with the most relevant and high-potential prospects. Supported by our Best Price Guarantee, the Contact Enrichment API is indispensable for organizations aiming to streamline workflows, improve targeting, and maximize conversion rates.

Why Choose Success.ai’s Contact Enrichment API?

1. Real-Time Enrichment for Precision Outreach

   • Instantly enhance your CRM or marketing platform with verified work emails, phone numbers, job titles, and professional histories.
   • AI-driven validation ensures 99% accuracy, minimizing outreach errors and boosting engagement efficiency.

2. Comprehensive Global Coverage

   • Includes professionals from all major industries, sectors, and geographic regions.
   • Gain insights into decision-makers, technical leads, and influencers across diverse markets, enabling you to scale your outreach globally.

3. Anytime Access with Powerful Filtering

   • Query the API anytime to enrich records on-demand, ensuring your contact data remains current and relevant.
   • Leverage granular filters to target the specific roles, industries, or company sizes that align with your strategic goals.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, guaranteeing responsible, lawful data usage for all enrichment activities.

Data Highlights:

• 700M+ Verified Global Profiles: Enhance your contact lists with up-to-date information on professionals worldwide.
• Job Titles and Professional Histories: Gain visibility into career progressions, areas of expertise, and leadership roles.
• Verified Contact Details: Add work emails, phone numbers, and LinkedIn URLs to refine targeting and streamline communication.
• Industry and Location Data: Utilize firmographic and demographic insights to tailor campaigns and focus on high-value prospects.

Key Features of the Contact Enrichment API:

1. Seamless Integration with Your Systems

   • Easily integrate the API into CRMs, marketing platforms, and analytics tools.
   • Automated workflows ensure that your contact data is always current, reducing manual data updates and saving resources.

2. Granular Filtering and Query Capabilities

   • Filter contacts by industry, geographic region, company size, or job function.
   • Focus on the most relevant prospects, ensuring your outreach resonates and drives higher conversion rates.

3. Real-Time Updates and Continuous Enrichment

   • Receive real-time updates to keep your data fresh, reflecting new hires, promotions, and organizational changes.
   • Stay agile and adapt to market shifts by always targeting the most pertinent decision-makers.

4. AI-Validated Accuracy

   • AI-driven validation ensures 99% data accuracy, providing confidence in your targeting and reducing wasted outreach efforts.

Strategic Use Cases:

1. Sales and Lead Generation

   • Arm your sales team with the latest contact details and job titles, ensuring they always approach the right prospects.
   • Use enriched data to segment leads and tailor pitches for higher conversion rates.

2. Marketing Campaigns and ABM Strategies

   • Refine account-based marketing (ABM) strategies by enriching contacts with detailed firmographic and demographic insights.
   • Personalize messaging and content based on prospect roles, responsibilities, and organizational priorities.

3. Partnership Development and Vendor Evaluation

   • Identify and connect with potential partners or vendors aligned with your product offerings and market objectives.
   • Foster collaborations that expand market reach, improve customer experiences, or enhance operational efficiencies.

4. Recruitment and Talent Acquisition

   • Enrich candidate pipelines with accurate, updated contact information and professional backgrounds.
   • Streamline recruitment workflows and ensure you’re reaching high-quality candidates in niche industries.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality enrichment data at competitive prices, ensuring strong ROI for your sales and marketing investments.

2. Seamless Integration

   • Incorporate verified contact data directly into your existing workflows and tools, eliminating data silos and manual updates.

3. Data Accuracy with AI Validation

   • Rely on 99% accuracy to guide data-driven decisions, refine targeting, and improve engagement outcomes in all campaigns.

4. Custo...

Massively parallel sequencing technologies have made it possible to generate large quantities of sequence data. However, as research-associated information is transferred into clinical practice, cost and throughput constraints generally require sequence-specific targeted analyses. Therefore, sample enrichment methods have been developed to meet the needs of clinical sequencing applications. However, current amplification and hybrid capture enrichment methods are limited in the contiguous length of sequences for which they are able to enrich. PCR based amplification also loses methylation data and other native DNA features. We have developed a novel technology (Negative Enrichment) where we demonstrate targeting long (>10 kb) genomic regions of interest. We use the specificity of CRISPR-Cas9 single guide RNA (Cas9/sgRNA) complexes to define 5′ and 3′ termini of sequence-specific loci in genomic DNA, targeting 10 to 36 kb regions. The complexes were found to provide protection from exonucleases, by protecting the targeted sequences from degradation, resulting in enriched, double-strand, non-amplified target sequences suitable for next-generation sequencing library preparation or other downstream analyses.