During a 2022 survey carried out among business managers and above who were familiar with their company's customer experience, marketing tech, or customer data strategies from various countries across the globe, ** percent stated their brands used exclusively first-party data to personalize customer experiences. A year earlier, the share stood at ** percent.

This dataset encompasses deterministic consumer demographics, collected from over 150,000 triple-opt-in first-party US Daily Active Users (DAU). Included are age, gender, ethnicity, location, employment, education, income, pet ownership, having kids/children, relationship, military status and more.

During a 2022 survey carried out among data marketers, ** percent of respondents said they expected that they would be increasing spending/emphasis on use of first-party data because of the planned phase-out of third party cookies by browsers developers; ** percent said they expected to increase interest in third-party identity resolution solutions.

Lockbox First Party provides automated processing of payments made by Veterans who are required to make co-payments for health care services at VA facilities. Veterans receive their bills through the Consolidated Co-payment Processing Center (CCPC) and make payment through Lockbox First Party. Lockbox First Party provides a central collection point for payments through a commercial bank. In addition, Lockbox First Party provides reporting and inquiry capability.

The Political Party Database (PPDB) is an online public database that is a central source for key information about political party organization, party resources, leadership selection, and partisan political participation in many representative democracies. The files contain the data in SPSS, STATA, and CSV formats. The dataset also includes a PDF with the text responses for the appropriate variables. The PPDB Round 2 dataset complements the Round 1a_1b Dataset. Round 2 data covers 51 countries, reflecting the state of 288 parties in the years 2017-2020.

This dataset encompasses mobile smartphone application (app) usage, collected from over 150,000 triple-opt-in first-party US Daily Active Users (DAU). Use it for measurement, attribution or surveying to understand the why. iOS and Android operating system coverage.

Tie app usage to web and location events using anonymized PanelistID for omnichannel consumer journey understanding.

First-Party Data Onboarding Hubs Market Outlook

According to our latest research, the Global First-Party Data Onboarding Hubs market size was valued at $2.1 billion in 2024 and is projected to reach $8.9 billion by 2033, expanding at a robust CAGR of 17.2% during the forecast period of 2025–2033. One of the primary drivers fueling this remarkable growth is the increasing demand for privacy-centric marketing solutions, as organizations across industries strive to comply with evolving data privacy regulations and reduce reliance on third-party cookies. The shift towards first-party data onboarding hubs is enabling brands to create more personalized and secure customer experiences, while simultaneously enhancing data governance and operational efficiency. This market’s momentum is further propelled by the proliferation of digital touchpoints and the growing imperative for omnichannel customer engagement strategies.

Regional Outlook

North America currently holds the largest share of the global First-Party Data Onboarding Hubs market, accounting for over 41% of the total market value in 2024. The region’s dominance is primarily attributed to its mature digital ecosystem, early adoption of advanced data management technologies, and stringent data privacy regulations such as the California Consumer Privacy Act (CCPA). Major enterprises in the United States and Canada have been at the forefront of leveraging first-party data onboarding hubs to unify customer data, drive targeted marketing campaigns, and ensure compliance with regulatory frameworks. The presence of leading software vendors, robust cloud infrastructure, and a highly competitive retail and e-commerce landscape further reinforce North America’s leadership position in this market.

Asia Pacific is emerging as the fastest-growing region in the First-Party Data Onboarding Hubs market, projected to register a remarkable CAGR of 21.6% from 2025 to 2033. This rapid expansion is underpinned by accelerating digital transformation initiatives, increasing internet penetration, and the proliferation of mobile-first consumers across major economies such as China, India, Japan, and South Korea. Regional enterprises are investing heavily in data onboarding solutions to capture granular customer insights, enhance personalization, and optimize cross-channel marketing efforts. The influx of venture capital funding, government-led digitalization programs, and the entry of global technology providers are catalyzing market growth, making Asia Pacific a hotbed for innovation and adoption in this sector.

Emerging economies in Latin America, the Middle East, and Africa are witnessing gradual adoption of first-party data onboarding hubs, albeit at a slower pace due to infrastructural limitations, skill gaps, and budget constraints. However, rising awareness about data privacy, the adoption of cloud-based solutions, and the expansion of digital commerce are beginning to create new opportunities for market penetration. Localized regulatory developments, such as Brazil’s General Data Protection Law (LGPD), are compelling organizations to modernize their data management practices. Despite challenges related to integration complexity and limited access to advanced technologies, these regions are expected to show steady growth as digital literacy improves and multinational companies expand their regional footprints.

Report Scope

The Political Party Database (PPDB) is an online public database that is a central source for key information about political party organization, party resources, leadership selection, and partisan political participation in many representative democracies. The files contain the data in SPSS, STATA, and CSV formats. The dataset also includes a PDF with the text responses for the appropriate variables. The Round 1b dataset adds 6 countries to complement the 19 countries covered in PPDB Round 1a, with 1b data reflecting the state of 24 parties in the 2012-2016 time frame.

This dataset encompasses streaming audio consumption from over 150,000 triple-opt-in first-party U.S. Daily Active Users (DAU). Platforms include Luminary, Google Play Books, Castbox, iHeart Radio, Pocket Casts, Spotify, YouTube, YouTube Music, Pandora, SoundCloud, Amazon Music and Apple Music.

This dataset encompasses social media exposure to sponsored posts, collected from over 150,000 triple-opt-in first-party U.S. Daily Active Users (DAU). Use it for measurement, attribution or brand lift surveying. Platforms covered include Facebook, TikTok, X, Instagram and YouTube.

This dataset encompasses brick & mortar point of interest geolocation visit data, collected from over 150,000 triple-opt-in first-party US Daily Active Users. Use it for measurement, attribution or brand lift surveying. Fields include category, dwell time, address with lat/long and demographics.

As Amazon dictates prices of first-party inventory, many vendors act strategically to improve their margins over 2025. According to a survey, ** percent of them prioritized ad performance, while another ** percent of them optimized product assortment.

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.

First-Party Cyber Crime Insurance Market Outlook

According to our latest research, the global market size of the First-Party Cyber Crime Insurance Market reached USD 11.8 billion in 2024. With an impressive compound annual growth rate (CAGR) of 19.7% from 2025 to 2033, the market is forecasted to climb to USD 52.1 billion by 2033. This robust growth trajectory is fueled by the escalating sophistication of cyber threats, increasing regulatory requirements for data protection, and the growing digitalization of business processes worldwide. Organizations are recognizing the need to safeguard themselves against the financial and reputational risks posed by cyber incidents, making first-party cyber crime insurance an essential component of modern risk management frameworks.

A primary growth driver for the First-Party Cyber Crime Insurance Market is the exponential rise in both the frequency and severity of cyber attacks, particularly ransomware, data breaches, and business email compromise. As enterprises across sectors digitize their operations and rely more heavily on interconnected systems, vulnerabilities multiply, making them lucrative targets for cybercriminals. High-profile incidents and their associated financial losses have heightened awareness among C-suite executives and boards, prompting increased investment in comprehensive cyber insurance policies. Additionally, the transition to remote and hybrid work models has introduced new cyber risks, further amplifying demand for first-party coverage that addresses direct damages and operational disruptions.

Another significant factor propelling market expansion is the tightening regulatory environment around data privacy and cybersecurity. Governments and regulatory bodies worldwide are enacting stringent data protection laws, such as the General Data Protection Regulation (GDPR) in Europe and similar frameworks in other regions, which mandate organizations to implement robust cybersecurity measures and, in many cases, maintain adequate insurance coverage. Non-compliance can result in severe penalties, making first-party cyber crime insurance not just a risk mitigation tool but also a compliance necessity. As regulatory scrutiny intensifies and enforcement actions increase, organizations are proactively seeking insurance solutions that offer both financial protection and support for regulatory response.

The rapid evolution of digital assets and technologies, including cloud computing, the Internet of Things (IoT), and artificial intelligence, is also shaping the landscape of the First-Party Cyber Crime Insurance Market. While these technologies drive innovation and efficiency, they also introduce complex cyber risks that traditional insurance policies may not adequately address. Insurers are responding by developing tailored products that cover emerging risks such as digital asset loss, cyber extortion, and business interruption due to system outages. This innovation in coverage offerings is attracting a broader range of clients, from small and medium enterprises (SMEs) to large multinational corporations, thereby expanding the market’s reach and depth.

From a regional perspective, North America continues to dominate the First-Party Cyber Crime Insurance Market, accounting for the largest share in 2024, followed closely by Europe and Asia Pacific. The dominance of North America is attributed to the region’s advanced digital infrastructure, high incidence of cyber attacks, and mature insurance sector. However, Asia Pacific is witnessing the fastest growth, propelled by rapid digital transformation, increasing cyber awareness, and the implementation of new regulatory frameworks. Europe remains a strong market due to stringent data protection laws and a growing emphasis on cybersecurity resilience. Meanwhile, Latin America and the Middle East & Africa are emerging as lucrative markets, driven by the expansion of digital economies and rising cyber threats.

Coverage Type Analysis

Within the First-Party Cyber Crime Insurance Market, coverage type is a critical segment, encompassing data breach, cyber extortion, business interruption, digital asset loss, and other specialized coverages. Data breach insurance remains the most sought-after, as data breaches continue to top the list of cyber incidents affecting organizations globally. The financial and reputational fallout from compromised customer data, intellectual property, or sensitive

First-Party Fraud Prevention Market Outlook

As per our latest research, the global First-Party Fraud Prevention market size stood at USD 6.1 billion in 2024, demonstrating the critical role of advanced fraud detection technologies in today's digital economy. The market is experiencing robust expansion, with a CAGR of 17.8% expected from 2025 through 2033. By the end of the forecast period, the First-Party Fraud Prevention market is anticipated to reach USD 24.1 billion, reflecting an accelerated adoption of fraud prevention solutions across key sectors such as banking, e-commerce, and telecommunications. This remarkable growth is primarily driven by the increasing sophistication of fraud schemes, the proliferation of digital financial services, and stringent regulatory frameworks demanding enhanced risk mitigation strategies.

A major growth factor propelling the First-Party Fraud Prevention market is the rapidly growing digitalization of financial services and retail transactions. As consumers and businesses shift toward online platforms for banking, shopping, and communication, the opportunities for fraudsters to exploit identity and credit vulnerabilities have multiplied. First-party fraud, where legitimate customers manipulate their own identities or financial information to obtain goods or credit with no intention of repayment, has become increasingly difficult to detect with traditional methods. This has led to a surge in demand for advanced machine learning, artificial intelligence, and behavioral analytics solutions that can identify subtle patterns of fraudulent activity. Organizations are investing heavily in robust fraud prevention platforms to safeguard their assets, protect customer trust, and comply with evolving regulatory mandates.

Another significant driver is the evolving regulatory landscape that compels organizations to implement stringent fraud prevention mechanisms. Financial institutions, e-commerce platforms, and telecom providers are under mounting pressure from regulators to maintain high standards of data security, customer authentication, and risk assessment. The introduction of regulations such as PSD2 in Europe, the CCPA in California, and similar frameworks in Asia-Pacific has raised the bar for compliance, necessitating continuous upgrades to fraud detection and prevention systems. This regulatory push is complemented by growing consumer awareness about data privacy and security, which further incentivizes enterprises to adopt cutting-edge first-party fraud prevention solutions. The intersection of regulatory compliance and technological innovation is thus fueling sustained market growth.

Furthermore, the increasing sophistication and frequency of first-party fraud attacks are compelling organizations to move beyond traditional rule-based systems and invest in real-time, adaptive fraud prevention technologies. The integration of big data analytics, cloud computing, and cross-channel monitoring enables organizations to detect and respond to fraudulent activities proactively. The rise of omnichannel customer engagement, where users interact with brands across multiple touchpoints, has made it imperative for businesses to deploy unified fraud prevention strategies. This holistic approach not only reduces financial losses but also enhances operational efficiency and customer experience. As a result, the market is witnessing a significant influx of investments from both established players and innovative startups, further driving technological advancements and market expansion.

In the realm of financial services, Account Opening Fraud Prevention has become a focal point for many organizations striving to protect their assets and maintain customer trust. With the rise of digital banking and online account creation, fraudsters have found new avenues to exploit vulnerabilities in the account opening process. This type of fraud often involves the use of synthetic identities or stolen personal information to open accounts with the intent of committing further fraudulent activities. Financial institutions are increasingly adopting sophisticated technologies, such as biometric verification, AI-driven identity checks, and real-time monitoring, to combat these threats. The integration of these advanced solutions into existing systems not only enhances security but also streamlines the customer onboarding experience, ensuring that legitimate c

The module was administered as a post-election interview. The resulting data are provided along with voting, demographic, district and macro variables in a single dataset.

CSES Variable List The list of variables is being provided on the CSES Website to help in understanding what content is available from CSES, and to compare the content available in each module.

Themes: MICRO-LEVEL DATA:

Identification and study administration variables: weighting factors;election type; date of election 1st and 2nd round; study timing (post election study, pre-election and post-election study, between rounds of majoritarian election); mode of interview; gender of interviewer; date questionnaire administered; primary electoral district of respondent; number of days the interview was conducted after the election

Demography: age; gender; education; marital status; union membership; union membership of others in household; current employment status; main occupation; employment type - public or private; industrial sector; occupation of chief wage earner and of spouse; household income; number of persons in household; number of children in household under the age of 18; attendance at religious services; religiosity; religious denomination; language usually spoken at home; race; ethnicity; region of residence; rural or urban residence

Survey variables: respondent cast a ballot at the current and the previous election; respondent cast candidate preference vote at the previous election; satisfaction with the democratic process in the country; last election was conducted fairly; form of questionnaire (long or short); party identification; intensity of party identification; political parties care what people think; political parties are necessary; recall of candidates from the last election (name, gender and party); number of candidates correctly named; sympathy scale for selected parties and political leaders; assessment of the state of the economy in the country; assessment of economic development in the country; degree of improvement or deterioration of economy; politicians know what people think; contact with a member of parliament or congress during the past twelve months; attitude towards selected statements: it makes a difference who is in power and who people vote for; people express their political opinion; self-assessment on a left-right-scale; assessment of parties and political leaders on a left-right-scale; political information items

DISTRICT-LEVEL DATA:

number of seats contested in electoral district; number of candidates; number of party lists; percent vote of different parties; official voter turnout in electoral district

MACRO-LEVEL DATA:

founding year of parties; ideological families of parties; international organization the parties belong to; left-right position of parties assigned by experts; election outcomes by parties in current (lower house/upper house) legislative election; percent of seats in lower house received by parties in current lower house/upper house election; percent of seats in upper house received by parties in current lower house/upper house election; percent of votes received by presidential candidate of parties in current elections; electoral turnout; electoral alliances permitted during the election campaign; existing electoral alliances; most salient factors in the election; head of state (regime type); if multiple rounds: selection of head of state; direct election of head of state and process of direct election; threshold for first-round victory; procedure for candidate selection at final round; simple majority or absolute majority for 2nd round victory; year of presidential election (before or after this legislative election); process if indirect election of head of state; head of government (president or prime minister); selection of prime minister; number of elected legislative chambers; for lower and upper houses was coded: number of electoral segments; number of primary districts; number of seats; district magnitude (number of members elected from each district); number of secondary and tertiary electoral districts; compulsory voting; votes cast; voting procedure; electoral formula; party threshold; parties can run joint lists; requirements for joint party lists; possibility of apparentement; types of apparentement agreements; multi-party endorsements; multi-party endorsements on ballot; ally party support; constitu...

Swedish party programs and election manifestos from 1897 until today.

All documents are also available at https://snd.se/vivill, where it is possible to search in the documents.

Swedish party programs and election manifestos builds on the "Vi vill …! Hundra år av partipolitiska viljeyttringar" ("We want…! A hundred years of political party declarations") project, which the predecessor of SND, SSD, conducted in 2000–2002. The purpose of this project was to collect the programs and manifestos that the political parties had produced during the 20th century. In these texts, you can trace the development of the political parties in terms of their language, politics, and ideology. The material also provides an overview of which questions have been essential for the development of Sweden.

The selection of election manifestos builds on work done by Sven-Olov Håkansson in "Svenska valprogram 1902–1952" (”Swedish election programs 1902–1952”), and materials collected and used in the research project "Partiernas opinionspåverkan" (“Political party influence on public opinions”), POP, by Peter Esaiasson and Nicklas Håkansson. At first, only political parties in the Swedish Parliament (Sveriges riksdag) were represented in the material. Later additions have given a broader selection of parties as well as party documents related to the European Parliament elections.

In the case of party programs, we have searched in research libraries and people’s movement libraries, as well as in the archives of the political parties. As there is varying degrees of knowledge about which programs have been produced, we are aware that we have probably been unable to find an unknown number of documents that could otherwise have been included in the collection.

This project was made possible thanks to John-Erik Ågotnes at NSD (Norsk Samfunnsvitenskapelig Datatjenste, now SIKT), the Norwegian counterpart to SSD, which in 1997 published a CD with Norwegian party programmes. Ågotnes allowed SSD free use of the software he had developed for his project.

The "Vi vill …" project was awarded financial support from the Riksbankens Jubileumsfond grant for support to research infrastructures.

The dataset consists of: - The zip file "Svenska partiprogram och valmanifest" that consists of the folder "Partidokument" which contains all political party documents in .pdf and .txt format sorted in separate folders for each party - The documentation files "Partidokument" where the .xlsx and .csv documents listing all party documents, their type, source and titles as well as a "readme" .txt file.

This dataset encompasses mobile app usage, web clickstream and location visitation behavior, collected from over 150,000 triple-opt-in first-party US Daily Active Users (DAU). The only omnichannel meter at scale representing iOS and Android platforms.

Includes ties to consumer demographics.

In-app audio, media and social ad exposure data included. Can be commissioned to build other in-app and account level visibility.

Graph and download economic data for Tri-Party General Collateral Rate: 1st Percentile (TGCR1STPERCENTILE) from 2018-04-02 to 2025-10-16 about collateral, general, overnight, percentile, Treasury, federal, rate, and USA.

First-Party Lending Fraud Analytics Market Outlook

According to our latest research, the First-Party Lending Fraud Analytics market size reached USD 2.16 billion globally in 2024, driven by escalating digital lending activities and increasingly sophisticated fraud schemes. The market is expected to grow at a remarkable CAGR of 19.4% from 2025 to 2033, reaching an estimated USD 10.29 billion by 2033. This robust growth is primarily fueled by rapid digitization in the financial sector, the proliferation of online lending platforms, and the rising need for advanced analytics solutions to combat evolving first-party lending fraud threats.

One of the primary growth drivers for the First-Party Lending Fraud Analytics market is the increasing prevalence of digital lending channels, which, while enhancing convenience for consumers, have also created new opportunities for fraudsters. Financial institutions are witnessing a surge in first-party fraud cases, where legitimate borrowers intentionally default on loans with no intention of repayment. This trend has compelled banks, credit unions, and fintech companies to invest heavily in advanced fraud analytics solutions that leverage artificial intelligence, machine learning, and big data analytics to detect and mitigate fraudulent activities in real time. The integration of these technologies enables organizations to analyze vast datasets, identify suspicious patterns, and proactively prevent losses, thereby contributing significantly to market expansion.

Another significant factor propelling the growth of the First-Party Lending Fraud Analytics market is the tightening regulatory landscape across major economies. Regulatory bodies are mandating stricter compliance norms and risk management frameworks, urging financial institutions to adopt robust fraud prevention and detection systems. The growing emphasis on regulatory compliance, coupled with the rising cost of fraud, is prompting organizations to deploy comprehensive analytics solutions that not only safeguard against financial losses but also ensure adherence to legal requirements. This dual benefit of risk mitigation and compliance is anticipated to further accelerate the adoption of fraud analytics platforms throughout the forecast period.

Furthermore, the increasing sophistication of fraud tactics, such as synthetic identity fraud and account takeover, has necessitated a paradigm shift in fraud detection methodologies. Traditional rule-based systems are no longer sufficient to address the complexities of modern lending fraud. As a result, there is a growing demand for advanced analytics solutions equipped with predictive modeling, behavioral analytics, and network analysis capabilities. These solutions empower financial institutions to stay ahead of fraudsters by continuously evolving their detection strategies and responding swiftly to emerging threats. The ongoing innovation in analytics technology, coupled with heightened awareness about the financial and reputational risks associated with first-party fraud, is expected to sustain the market’s upward trajectory.

Regionally, North America continues to dominate the First-Party Lending Fraud Analytics market, accounting for the largest share in 2024, owing to the high adoption rate of digital banking services and the presence of leading technology providers. However, Asia Pacific is projected to witness the fastest growth during the forecast period, driven by rapid digital transformation in the banking sector, increasing internet penetration, and rising incidents of lending fraud. Europe, Latin America, and the Middle East & Africa are also experiencing steady growth, supported by regulatory initiatives and the expanding footprint of digital financial services. This regional diversification underscores the global significance of fraud analytics solutions in safeguarding the integrity of lending ecosystems worldwide.

Component Analysis

The Component segment of the First-Party Lending Fraud Analytics market is bifurcated into software and services, each playing a pivotal role in the fight against lending fraud. Software solutions form the backbone of fraud analytics, offering a comprehensive suite of tools for real-time detection, risk assessment, and case management. These platforms employ advanced algorithms and machine learning models to scrutinize vast volumes of transactional