Rhetorik, a Lightcast Company provides the largest known database of globally compliant profiles of professionals, companies, and contacts—continuously updated to ensure accuracy. Powered by AI, the platform supports a wide range of use cases, including sales, marketing, recruiting, and investment banking, with flexible delivery options through platforms, APIs, and services.

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Rhetorik is a premier global provider of high-quality, compliant B2B data, meticulously curated through a vast network of first-party, second-party, and third-party sources. Our proprietary AI-driven technology standardises, deduplicates, and verifies data, ensuring the most comprehensive single source of global business intelligence and actionable insights available.

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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

Insurance Third-Party Data Enrichment Market Outlook

According to our latest research, the global Insurance Third-Party Data Enrichment market size in 2024 stands at USD 4.2 billion, reflecting a robust demand for advanced data-driven solutions within the insurance sector. The market is experiencing a strong compound annual growth rate (CAGR) of 13.7% from 2025 to 2033, driven by the increasing need for insurers to enhance risk assessment, streamline claims management, and improve customer profiling. By 2033, the Insurance Third-Party Data Enrichment market is forecasted to reach USD 13.1 billion, underscoring the significant transformation underway in the insurance industry as it leverages enriched data for competitive advantage and operational efficiency.

The primary growth factor propelling the Insurance Third-Party Data Enrichment market is the rapidly evolving digital landscape within the insurance industry. Insurers are increasingly recognizing the value of integrating external data sources—such as demographic, behavioral, firmographic, and technographic data—into their core processes. This enables them to gain a more comprehensive understanding of policyholders and prospects, driving more accurate underwriting, personalized product offerings, and proactive risk management. The proliferation of digital touchpoints and the exponential growth in available data have made it imperative for insurers to adopt sophisticated data enrichment solutions, fueling market expansion. Additionally, the growing sophistication of artificial intelligence and machine learning technologies is enabling insurers to derive actionable insights from vast and complex datasets, further accelerating the adoption of third-party data enrichment platforms.

Another critical driver for the Insurance Third-Party Data Enrichment market is the increasing prevalence of fraud and the mounting regulatory scrutiny faced by insurers. As fraudulent claims become more sophisticated, insurance companies are leveraging enriched third-party data to enhance their fraud detection capabilities and comply with stringent regulatory requirements. The integration of advanced analytics and real-time data feeds allows insurers to detect anomalies, verify identities, and assess risk with greater precision, thereby reducing losses and ensuring compliance. This trend is particularly pronounced in regions with mature insurance markets, where regulatory bodies are mandating higher standards of due diligence and transparency. The ability to rapidly validate and enrich data from external sources is becoming a critical differentiator for insurers seeking to minimize risk and maintain regulatory compliance.

Furthermore, the shift towards customer-centricity in the insurance industry is significantly influencing the growth trajectory of the Insurance Third-Party Data Enrichment market. Insurers are increasingly focused on delivering personalized experiences to policyholders, which requires a deep understanding of customer behaviors, preferences, and life stages. By leveraging enriched third-party data, insurers can segment their customer base more effectively, tailor communications, and design products that better meet individual needs. This not only enhances customer satisfaction and loyalty but also enables insurers to identify new revenue streams and cross-selling opportunities. The ability to harness external data for customer profiling and engagement is becoming a strategic imperative, driving sustained investment in data enrichment solutions across the industry.

From a regional perspective, North America continues to dominate the Insurance Third-Party Data Enrichment market, accounting for the largest share of global revenues in 2024. The region's leadership is underpinned by the presence of advanced insurance ecosystems, high digital adoption rates, and a strong focus on regulatory compliance. Europe follows closely, driven by a mature insurance sector and increasing investments in digital transformation initiatives. Meanwhile, the Asia Pacific region is emerging as a fast-growing market, supported by rapid economic development, expanding insurance penetration, and a burgeoning middle class. Latin America and the Middle East & Africa are also witnessing steady growth, albeit from a smaller base, as insurers in these regions increasingly recognize the benefits of third-party data enrichment for risk management and customer engagement.

Data Access for Third-Party DER Market Outlook

According to our latest research, the global Data Access for Third-Party Distributed Energy Resources (DER) market size reached USD 3.12 billion in 2024, with a robust compound annual growth rate (CAGR) of 16.7% expected from 2025 to 2033. This growth trajectory will take the market to an anticipated USD 13.45 billion by 2033. The principal driver behind this expansion is the accelerating integration of distributed energy resources and the critical need for seamless, secure, and real-time data access for third-party stakeholders across the energy ecosystem.

The growth of the Data Access for Third-Party DER market is fundamentally propelled by the global transition toward decentralized energy systems and the proliferation of DERs such as solar PV, wind turbines, battery storage, and electric vehicles. As energy generation becomes increasingly distributed, utilities, aggregators, and commercial entities require granular, real-time data access to optimize grid operations, facilitate energy trading, and enable demand response programs. The widespread adoption of smart meters and IoT-enabled sensors has significantly improved the availability and quality of DER data, empowering third parties to develop innovative energy management solutions. Additionally, regulatory mandates in regions like North America and Europe now require utilities to provide standardized and secure data interfaces, further stimulating market growth by lowering barriers for new entrants and fostering a competitive, data-driven energy landscape.

Another major growth factor is the rapid advancement of digital technologies, including cloud computing, artificial intelligence, and blockchain, which have revolutionized how DER data is collected, analyzed, and shared. These technologies enable real-time analytics, predictive maintenance, and automated energy trading, offering unprecedented value to both utilities and end-users. As a result, there is an increasing demand for robust software platforms and APIs that facilitate secure data exchange between DER owners, grid operators, and third-party service providers. This digital transformation is not only enhancing grid flexibility and reliability but also supporting the integration of renewable energy at scale, aligning with global sustainability goals and decarbonization initiatives.

Furthermore, the evolving market landscape is characterized by a surge in partnerships, mergers, and acquisitions among technology providers, utilities, and energy aggregators. These collaborations are driven by the need to build interoperable ecosystems that support seamless data flow across diverse DER assets and platforms. The emergence of standardized protocols and open data frameworks, such as the Green Button initiative and IEEE standards, is fostering interoperability and reducing integration complexities. As a result, third-party DER data access solutions are becoming more accessible, scalable, and cost-effective, enabling a wider range of stakeholders to participate in energy markets and contribute to grid modernization efforts.

From a regional perspective, North America and Europe currently dominate the Data Access for Third-Party DER market, driven by progressive regulatory frameworks, mature energy infrastructure, and high DER penetration rates. North America, in particular, accounted for approximately 38% of the global market in 2024, followed closely by Europe at 33%. The Asia Pacific region is emerging as a high-growth market, with countries like China, Japan, and Australia making significant investments in smart grid technologies and renewable integration. Meanwhile, Latin America and the Middle East & Africa are gradually adopting DER data access solutions, supported by growing renewable energy capacity and digitalization initiatives. Regional market dynamics are further influenced by government incentives, utility business models, and the pace of DER adoption, shaping the competitive landscape and growth opportunities for market participants.

Component Analysis

The Data Access for Third-Party DER market is segmented by component into software, hardware, and services, each playing a pivotal role in the ecosystem. Software solutions form the backbone of DER data management, offering platforms and APIs that enable the secure collection, aggregation, and distribution of data from diverse DER assets. These platforms

During a 2020 survey carried out among senior industry experts from companies involved in the use of data and data collaboration from the United States, **** percent of respondents stated they were currently collaborating with a third party to share first-party data for insights, activation, measurements, or attribution; *** percent said they were not collaborating with anybody to such an end but that they used to in the past.

Indonesia Rural Banks: Sources of Funds: 3rd Party Funds (TPF) data was reported at 93,346.669 IDR bn in May 2019. This records a decrease from the previous number of 93,882.079 IDR bn for Apr 2019. Indonesia Rural Banks: Sources of Funds: 3rd Party Funds (TPF) data is updated monthly, averaging 45,438.530 IDR bn from Dec 2006 (Median) to May 2019, with 150 observations. The data reached an all-time high of 93,882.079 IDR bn in Apr 2019 and a record low of 15,771.000 IDR bn in Dec 2006. Indonesia Rural Banks: Sources of Funds: 3rd Party Funds (TPF) data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Global Database’s Indonesia – Table ID.KAE004: Sources and Uses of Fund: by Rural Bank.

From our comprehensive US Data Lake, we proudly present 23M+ high-quality US decision-makers and influencers.

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Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.

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• We offer our clients a unique, single source of quality and compliant data.
• We don't rely on 3rd party vendors.
• We utilise extensive verification processes to help ensure phone numbers and emails are accurate and connect to the right person.
• We are budget-friendly and our team are highly experienced.

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First‑Party Data Collaboration Hubs Market Outlook

According to our latest research, the global First‑Party Data Collaboration Hubs market size reached USD 2.47 billion in 2024, reflecting robust demand across key industries. The market is projected to expand at a CAGR of 16.8% from 2025 to 2033, reaching an anticipated value of USD 11.86 billion by 2033. The primary growth factor driving this impressive trajectory is the increasing prioritization of data privacy and the phasing out of third-party cookies, which is compelling organizations to invest in secure, scalable data collaboration solutions.

The growing emphasis on data privacy regulations such as GDPR, CCPA, and other regional mandates is fundamentally reshaping how organizations collect, store, and utilize customer information. As third-party data sources become less reliable and more restricted, enterprises are turning to first-party data collaboration hubs to unlock actionable insights while maintaining compliance. These platforms enable secure sharing and analysis of customer data across departments and with trusted partners, without exposing sensitive information or breaching regulatory frameworks. The ability to facilitate privacy-centric data collaboration is emerging as a critical differentiator, especially for sectors like BFSI, healthcare, and retail, where customer trust and regulatory adherence are paramount.

Another significant growth driver is the accelerating digital transformation across industries, which is fueling the adoption of advanced analytics and artificial intelligence. Organizations are increasingly leveraging first-party data collaboration hubs to unify disparate data sources, break down silos, and generate holistic customer profiles. This unified approach empowers marketing, sales, and product teams to create personalized experiences, optimize campaigns, and drive data-driven decision-making. The proliferation of cloud-based solutions and the integration of machine learning algorithms have further enhanced the scalability and effectiveness of these hubs, making them indispensable for large enterprises as well as agile SMEs seeking to compete on customer experience.

Moreover, the growing trend of data monetization is propelling the demand for robust collaboration platforms. Enterprises recognize the untapped value in their proprietary data assets and are seeking secure ways to exchange and monetize data with external partners, advertisers, and ecosystem collaborators. First-party data collaboration hubs provide the necessary infrastructure to facilitate these exchanges while ensuring governance, transparency, and compliance. This not only opens new revenue streams but also fosters innovation in product development, customer engagement, and business models. The shift from isolated data management to collaborative ecosystems is expected to be a defining trend in the market’s evolution over the next decade.

From a regional perspective, North America remains the dominant market for first-party data collaboration hubs, accounting for over 38% of global revenue in 2024. This leadership is attributed to the region’s advanced digital infrastructure, strong regulatory environment, and high adoption rates among retail, BFSI, and technology sectors. Europe follows closely, driven by stringent data protection laws and a mature enterprise landscape. Meanwhile, Asia Pacific is witnessing the fastest growth, with a CAGR of 19.2% through 2033, as organizations in emerging economies accelerate digital initiatives and invest in data-driven strategies. Latin America and the Middle East & Africa are also experiencing steady adoption, supported by increasing investments in digital transformation and evolving regulatory frameworks.

Component Analysis

The component segment of the First‑Party Data Collaboration Hubs market is bifurcated into software and services, each playing a pivotal role in market expansion. Software solutions

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

Indonesia State Owned Banks: SoF: 3rd Party Funds: FC data was reported at 316,742.004 IDR bn in May 2019. This records a decrease from the previous number of 338,162.078 IDR bn for Apr 2019. Indonesia State Owned Banks: SoF: 3rd Party Funds: FC data is updated monthly, averaging 236,661.031 IDR bn from Jan 2011 (Median) to May 2019, with 101 observations. The data reached an all-time high of 380,694.945 IDR bn in Nov 2018 and a record low of 97,329.502 IDR bn in Jan 2011. Indonesia State Owned Banks: SoF: 3rd Party Funds: FC data remains active status in CEIC and is reported by Indonesia Financial Services Authority. The data is categorized under Global Database’s Indonesia – Table ID.KAE002: Sources and Uses of Fund: by Bank.

From our comprehensive US Data Lake, we proudly present 8M+ high-quality enhanced US decision-makers and influencers.

Take your ABM strategy to the next level, build a strong pipeline and close deals by laser targeting key decision-makers and influencers based on their department, job functions, job responsibilities, interest areas and expertise, then utilise essential prospect information, including verified work email addresses and business phone and social links.

Our data is sourced directly from executives, businesses, official sources and registries, standardised, de-duped, and verified, and then processed through vigorous compliance procedures for GDPR/PECR on a legitimate interest basis and RTBI etc. This results in a highly accurate single source of quality and compliant B2B data.

It is with our B2B Live Data Lake that we can enrich your CRM data, supply new prospect data, verify leads, and provide you with a custom dataset tailored to your target audience specifications. We also cater for big data licensing to software providers and agencies that intend to supply our data to their customers and use it in their software solutions.

and much more

Why Choose 1 Stop Data?

• We offer our clients a unique, single source of quality and compliant data.
• We don't rely on 3rd party vendors.
• We utilise extensive verification processes to help ensure phone numbers and emails are accurate and connect to the right person.
• We are budget-friendly and our team are highly experienced.

Products and Services:

The oscar4.io web platform for self-service data on demand Bulk data feeds Data hygiene, standardisation, cleansing and enrichment Know Your Business (KYB)

Keywords:

B2B,Prospect Data,Validated Work Emails,Personal Emails,Email Enrichment,Company Data,Lead Enrichment,Data Enhancement,Account Based Marketing (ABM),Customer Data,Phone Enrichment,LinkedIn URL,Market Intelligence,Business Intelligence,Data Append,Contact Data,Lead Generation,360-Degree Customer View,Data Cleansing,Lead Data,Email and Phone Validation,Data Augmentation,Segmentation,Data Enrichment,Email Marketing,Data Intelligence,Direct Marketing,Customer Insights,Audience Targeting,Audience Generation,Mobile Phone,B2B Data Enrichment,Social Advertising,Due Diligence,B2B Advertising,Audience Insights,B2B Lead Retargeting,Contact Information,Demographic Data,Consumer Data Enrichment,People-Based Marketing,Contact Data Enrichment,Customer Data Insights,Prospecting,Sales Intelligence,Predictive Analytics,Email Address Validation,Company Data Enrichment,Audience Intelligence,Cold Outreach,Analytics,Marketing Data Enrichment,Customer Acquisition,Data Cleansing,B2C Data,People Data,Professional Information,Recruiting and HR,KYC,B2B List Validation,Lead Information,Sales Prospecting,B2B Sales,B2B Data,Lead Lists,Contact Validation,Competitive Intelligence,Customer Data Enrichment,Identity Resolution,Identity Validation,Data Science,B2C Data Enrichment,B2C,Lead Data Enrichment,Social Media Data.

Snapshot img

Third-Party Risk Management Market Size 2025-2029

The third-party risk management market size is forecast to increase by USD 9.78 billion, at a CAGR of 18.5% between 2024 and 2029.

The market is experiencing significant growth and transformation, driven by the increasing adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) in third-party risk management software solutions. These technologies enable organizations to automate risk assessments, monitor risks in real-time, and make data-driven decisions, thereby improving operational efficiency and reducing risks. However, the market also faces challenges, including the emergence of open-source risk management software. While open-source solutions offer cost advantages, they may lack the advanced features and capabilities of proprietary software, potentially compromising the effectiveness of risk management efforts. Organizations must carefully evaluate the trade-offs between cost savings and risk mitigation capabilities when considering open-source solutions. Effective third-party risk management is crucial for businesses seeking to protect their reputation, mitigate financial losses, and ensure regulatory compliance. Companies can capitalize on market opportunities by investing in AI- and ML-powered third-party risk management software, while addressing challenges by conducting thorough evaluations of open-source solutions.

What will be the Size of the Third-Party Risk Management Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free SampleThe market continues to evolve, with dynamic market dynamics shaping its applications across various sectors. Access control and risk avoidance remain key priorities, as entities seek to mitigate potential threats posed by external partners. Performance indicators and company management are essential tools for measuring and optimizing third-party relationships, while supplier diversity and performance measurement help ensure ethical sourcing and maintain compliance with regulatory frameworks. Key risk indicators, data loss prevention, and compliance monitoring are critical components of effective third-party risk management. Strategic risk, regulatory frameworks, and security audits are integral to managing risks associated with third-party relationships. Reputational risk and stakeholder engagement are also crucial, as entities strive to maintain a positive public image and build strong partnerships. Risk monitoring, policy development, metrics reporting, identity management, financial risk, vulnerability management, business continuity, technology solutions, data analytics, scenario planning, contract lifecycle management, information governance, quantitative analysis, and governance framework are all integral to the ongoing management of third-party risks. Disaster recovery, ethical sourcing, data security, training programs, contract negotiation, communication strategy, risk appetite, board reporting, incident response, due diligence, fraud detection, compliance audits, insurance policies, risk transfer, penetration testing, risk mitigation, predictive modeling, threat intelligence, risk assessment, risk tolerance, legal counsel, internal controls, and qualitative analysis are all essential elements of a comprehensive third-party risk management strategy. As market dynamics continue to unfold, entities must remain vigilant and adapt to evolving risks and regulatory requirements. By implementing robust third-party risk management practices, organizations can mitigate risks, optimize performance, and build strong, sustainable partnerships.

How is this Third-Party Risk Management Industry segmented?

The third-party risk management industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. ComponentSolutionServiceDeploymentCloudOn-premisesConsumerLarge enterprisesSMEsEnd-userBFSIIT and telecomHealthcareRetailOthersServiceProfessional servicesManagement servicesGeographyNorth AmericaUSCanadaEuropeFranceGermanyItalyUKAPACChinaIndiaJapanSouth KoreaRest of World (ROW)

By Component Insights

The solution segment is estimated to witness significant growth during the forecast period.Third-party risk management solutions have gained significant importance in business organizations, particularly in managing risks associated with external entities such as companies, suppliers, and contractors. These solutions offer software-as-a-service (SaaS) that provides a real-time, integrated view of the extended enterprise to mitigate third-party risks. The offerings automate end-to-end processes, including information gathering, onboarding, monitoring, ri

Rhetorik, a Lightcast Company provides the largest known database of globally compliant profiles of professionals, companies, and contacts—continuously updated to ensure accuracy. Powered by AI, the platform supports a wide range of use cases, including sales, marketing, recruiting, and investment banking, with flexible delivery options through platforms, APIs, and services.

Rhetorik: Your Global Leader in Premium B2B Data Solutions.

Rhetorik is a premier global provider of high-quality, compliant B2B data, meticulously curated through a vast network of first-party, second-party, and third-party sources. Our proprietary AI-driven technology standardises, deduplicates, and verifies data, ensuring the most comprehensive single source of global business intelligence and actionable insights available.

Empower Your Business with Comprehensive Data Solutions. Our expansive database covers 2m+ Businesses in Hong Kong, empowering your organisation to excel in a variety of use cases:

Sales Intelligence: Precisely identify and qualify leads to drive sales success.

Lead Generation: Generate highly targeted prospect lists for more effective outreach.

Marketing: Craft campaigns tailored to specific audiences for maximum impact.

Recruitment & HR: Discover top talent and streamline your hiring processes with precision.

Identity Verification Solutions: Enhance security and trust in your digital interactions. Tailored Pricing and Data Enrichment Solutions

Recognising that every business is unique, we offer flexible pricing options tailored to your specific needs, data use cases, and requirements.

Beyond data licensing, our comprehensive enrichment solutions ensure your existing datasets are cleansed, validated, and enhanced, guaranteeing optimal accuracy and effectiveness.

Unlock Your Business Potential with Rhetorik

Harness the power of data-driven decision-making with Rhetorik. Contact us today to discover how our solutions can elevate your business to new heights.

Shopper Receipt Attribution Platform Market Outlook

As per our latest research, the global Shopper Receipt Attribution Platform market size reached USD 2.13 billion in 2024, reflecting a robust expansion driven by digital transformation in retail and marketing analytics. The market is expected to grow at a CAGR of 17.2% from 2025 to 2033, reaching a projected value of USD 8.17 billion by 2033. This remarkable growth is underpinned by the increasing demand for precise attribution models that can bridge the gap between online and offline consumer behavior, thereby enabling retailers and brands to optimize marketing spend and drive higher ROI.

One of the primary growth factors for the Shopper Receipt Attribution Platform market is the escalating need for accurate measurement of omnichannel marketing campaigns. As consumers interact with brands across multiple touchpoints—online, in-store, and through mobile devices—the ability to attribute sales and engagements to specific campaigns or channels becomes critical. Shopper receipt attribution platforms provide advanced analytics by leveraging scanned or digital receipts, allowing marketers to track the consumer journey from impression to purchase. This level of granularity is essential in today’s competitive retail landscape, where every marketing dollar must be justified, and campaign effectiveness must be maximized. The increasing complexity of customer journeys is compelling retailers and brands to invest in these platforms, driving sustained market growth.

Another significant driver propelling the Shopper Receipt Attribution Platform market is the proliferation of data-driven decision-making in the retail sector. Retailers and brands are increasingly relying on actionable consumer insights to tailor their offerings, personalize communications, and enhance customer experiences. Shopper receipt attribution platforms enable the collection and analysis of granular purchase data, which can be integrated with other first-party and third-party data sources. This comprehensive view of consumer behavior empowers companies to identify trends, predict future purchasing patterns, and develop targeted marketing strategies. The growing emphasis on customer-centricity and the need to stay ahead of rapidly evolving consumer preferences are fueling investments in advanced attribution solutions.

Moreover, the rise in fraudulent activities and the need for robust validation mechanisms have further contributed to the adoption of shopper receipt attribution platforms. As receipt-based promotions and cashback offers become more prevalent, ensuring the authenticity of submitted receipts is paramount for both brands and retailers. Advanced platforms incorporate fraud detection algorithms and machine learning models to identify anomalies, duplicate submissions, and potential abuse. This not only protects brand reputation and promotional budgets but also enhances consumer trust in promotional campaigns. The dual advantage of campaign measurement and fraud prevention is a compelling value proposition for businesses, reinforcing the market’s upward trajectory.

From a regional perspective, North America continues to dominate the Shopper Receipt Attribution Platform market, owing to the high penetration of digital marketing technologies, mature retail ecosystems, and early adoption of advanced analytics solutions. However, the Asia Pacific region is emerging as a lucrative market, driven by rapid digitalization, a burgeoning e-commerce sector, and increasing investments in marketing attribution technologies. European countries are also witnessing steady growth, supported by stringent data privacy regulations and a strong focus on consumer insights. Latin America and the Middle East & Africa, although at a nascent stage, are expected to register significant growth rates, fueled by expanding retail infrastructure and growing awareness of the benefits of shopper receipt attribution platforms.

Component Analysis

The Shopper Receipt Attribution Platform market is segmented by component into Software and Services, each playing a critical role in delivering comprehensive attribution solutions. The software segment holds the largest market share, primarily due to the increasing demand for advanced analytics, machine learning capabilities, and seamless integration with existing retail and marketing systems. Modern shopper receipt attribution

Data Access for Third-Party DER Market Outlook

According to our latest research, the global data access for third-party DER (Distributed Energy Resources) market size reached USD 2.4 billion in 2024, reflecting the rapid digitalization and decentralization of the energy sector. The market is poised for robust expansion, projected to grow at a CAGR of 18.7% from 2025 to 2033, reaching a forecasted value of USD 12.5 billion by 2033. This growth is primarily driven by the increasing integration of renewable energy assets, regulatory mandates for grid flexibility, and the rising need for real-time data exchange between utilities and third-party DER operators.

A key growth factor for the data access for third-party DER market is the accelerating adoption of renewable energy sources such as solar, wind, and battery storage systems across both developed and emerging economies. As the global energy mix shifts toward cleaner alternatives, the number and diversity of DER assets proliferate, necessitating seamless data access and interoperability. Third-party operators, including aggregators and energy service companies, require granular, real-time data to optimize performance, participate in energy trading, and deliver value-added services. Regulatory frameworks, particularly in North America and Europe, are increasingly mandating open data access and interoperability standards, further fueling market demand. These regulations not only ensure fair competition but also foster innovation by enabling new business models centered around distributed energy.

Another significant driver is the digital transformation of grid infrastructure, which is unlocking new possibilities for data-driven decision-making and grid management. Advanced metering infrastructure (AMI), IoT sensors, and cloud-based platforms are being widely deployed to collect, process, and share vast volumes of DER data. This digital ecosystem empowers utilities and third-party stakeholders to enhance grid reliability, balance supply and demand, and reduce operational costs. Furthermore, the growing prevalence of smart homes, electric vehicles, and demand response programs is amplifying the need for robust, secure, and scalable data access solutions. These technological advancements are not only improving operational efficiency but also enabling the transition to a more resilient, flexible, and sustainable energy system.

The evolving landscape of energy markets and the emergence of peer-to-peer energy trading platforms are also contributing to the expansion of the data access for third-party DER market. As prosumers—entities that both produce and consume energy—become more active market participants, there is a heightened requirement for transparent, real-time data exchange to facilitate transactions and settlement processes. This trend is particularly pronounced in regions with deregulated energy markets, where competition and consumer choice are driving the adoption of innovative DER solutions. The convergence of data access technologies with blockchain, artificial intelligence, and advanced analytics is expected to further accelerate market growth by enabling more sophisticated and automated energy trading mechanisms.

From a regional perspective, North America currently dominates the global data access for third-party DER market, accounting for approximately 39% of total revenue in 2024. The region’s leadership is underpinned by progressive regulatory initiatives, high DER penetration, and substantial investments in grid modernization. Europe follows closely, driven by ambitious decarbonization targets and strong policy support for digital energy solutions. Meanwhile, the Asia Pacific region is witnessing the fastest growth, fueled by rapid urbanization, expanding renewable energy capacity, and government incentives for smart grid deployment. Latin America and the Middle East & Africa, though comparatively smaller in market share, are expected to gain momentum as energy access and sustainability become increasingly prioritized.

Compon

This data set contains stable versions of third party data used in the study titled “Open reproducible scientometric research with Alexandria3k”. The data were obtained on 2023-08-19 from the following sources.

doaj.csv — Open access journals

funderNames.csv — Funders

titleFile.csv — Journals

The Crossref data files are distributed with a CC0 license. The DOAJ journal-level metadata are distributed with a CC BY-SA 4.0 license, which can be found at creativecommons.org.

The global Points-of-Interest (POI) Data Solutions market is expected to exhibit a remarkable growth trajectory, with a CAGR of XX% during the forecast period of 2025-2033. This market is projected to reach a substantial value of XXX million by 2033, indicating its promising growth prospects. The expansion of this market is primarily driven by the increasing demand for accurate and comprehensive POI data from various industries, including retail, real estate, and transportation. The rise of location-based services and the proliferation of mobile devices have further spurred the demand for reliable POI data to enhance user experiences and provide customized recommendations. Key growth drivers for the POI Data Solutions market include the increasing adoption of smartphones and location-based technologies, the rising demand for data-driven decisions in businesses, and the need for real-time information for navigation and exploration. However, the market may face challenges such as data privacy concerns, the availability of free and open-source POI data, and the dependence on third-party data sources for accuracy and completeness. The market is expected to be dominated by North America and Europe, with a significant presence of major players such as Google Cloud, Factual, and HERE Technologies. Asia Pacific is projected to experience notable growth due to the increasing smartphone penetration and the rapid development of smart cities in the region.

The Building Performance Database (BPD) is the largest publicly-available source of measured energy performance data for buildings in the United States. It contains information about the building's energy use, location, and physical and operational characteristics. The BPD can be used by building owners, operators, architects and engineers to compare a building's energy performance against customized peer groups, identify energy performance opportunities, and set energy performance. It can also be used by energy performance program implementers to analyze energy performance features and trends in the building stock. The BPD compiles data from various data sources, converts it into a standard format, cleanses and quality checks the data, and provides users with access to the data in a way that maintains anonymity for data providers. The BPD consists of the database itself, a graphical user interface allowing exploration of the data, and an application programming interface allowing the development of third-party applications using the data.

The Datacovid COVID19 barometer, through a partnership with IPSOS, collects accurate data to inform French people’s behaviours and their impacts on the dynamics of the epidemic during the COVID 19 phase, in order to offer them in open-data to the scientific community, public administrations, businesses and all citizens. The challenge is to respond quickly to the information gap in the epidemic management systems, both in the current lockdown period and in the subsequent period. The Datacovid COVID-19 barometer consists of three categories of information on an unbiased panel representative of the population: 1. information on symptoms of infection and medical history; 2. behavioural parameters on the monitoring of containment rules and compliance with barrier gestures; 3. sociodemographic, economic and psychological characteristics of the respondents. CONDITIONS FOR THE USE OF DATASETS FROM THE COVID-19 BAROMETER The data sets published by datacovid.org on its website datacovid.org/data, datacovid.org/api and on data.gouv.fr, come from the Covid-19 Barometer operated by IPSOS in partnership with datacovid.org, a non-profit association governed by the French law of 1901. These datasets: — are governed by French law and by the terms of use of the datacovid.org website, — are published on the Internet for a non-profit, scientific and citizen purpose to fill the information gap on the systems of societal management of epidemics, — have previously been redacted from any data enabling the identification of a person who responded to the Covid-19 Barometer, — are open, i.e. they can be consulted, used and shared by all, in particular for research purposes, including scientific, historical and statistical purposes, — shall not give rise to commercial use, except that the results derived from those datasets, directly or indirectly, may also be opened, within the meaning defined above and brought to the attention of datacovid.org to ensure their opening, — must not be reconciled with other datasets or other resources under conditions that would allow a third party, by correlation, inference or by any means whatsoever, to identify a person who responded to the Covid-19 Barometer. As a result, — any use of these data sets and of all or part of their constituent elements which does not comply with each of the conditions listed above is prohibited, in particular: — any commercial use not open within the meaning defined above is prohibited and would be liable to prosecution and civil, administrative and criminal penalties in accordance with the French regulations in force, — any correlation or inference between the constituent elements of these datasets and other data sources, which would allow a third party to identify a person who responded to the Covid-19 Barometer, would be liable for such a third party in respect of datacovid.org and any person concerned and would be liable to civil, administrative and criminal proceedings and penalties under the French legislation in force. By downloading or making available to a third party data from the Covid-19 Barometer, I undertake to comply with the above objectives and the terms of use of the datasets published by datacovid.org. If I have any questions or doubts, I ask contact@datacovid.org while remaining responsible for my actions or those of my attendants and service providers. NB: Traffic data relating to access to the datacovid.org site are processed by datacovid.org and its service providers in order to measure their attendance and to ensure the availability, integrity and security of the site and its contents, under conditions and according to retention periods in accordance with French regulations. Any natural person who proves his identity may write to contact@datacovid.org to exercise the rights guaranteed to him by the French and European regulations in force relating to the protection of personal data and privacy, in particular the rights of access, opposition or deletion of personal data concerning him or her processed by datacovid.org.

A statistical "almanac" for London. Data mostly comes from 3rd party sources, especially ONS.

All data has been uploaded to google docs (though spread across many spreadsheets so download-url links to listing page not the raw data).

Openness: ?

License isn't clear (ons data probably covered by click-use but other data comes from UN etc).