During a 2023 survey carried out among media strategists, planners and buyers from North America who worked on programmatic campaigns, respondents were asked to rank the importance of a range of factors influencing the choice of a third-party data provider. Audience size ranked first, having received 4.45 point on a scale from 1 to 5.

In 2021, expenditure on third party audience data in the United States amounted to ** billion U.S. dollars, out of which **** billion was spent on data itself and *** billion on audience data activation solutions.

McGRAW’s US B2B Data: Accurate, Reliable, and Market-Ready

Our B2B database delivers over 80 million verified contacts with 95%+ accuracy. Supported by in-house call centers, social media validation, and market research teams, we ensure that every record is fresh, reliable, and optimized for B2B outreach, lead generation, and advanced market insights.

Our B2B database is one of the most accurate and extensive datasets available, covering over 91 million business executives with a 95%+ accuracy guarantee. Designed for businesses that require the highest quality data, this database provides detailed, validated, and continuously updated information on decision-makers and industry influencers worldwide.

The B2B Database is meticulously curated to meet the needs of businesses seeking precise and actionable data. Our datasets are not only extensive but also rigorously validated and updated to ensure the highest level of accuracy and reliability.

Key Data Attributes:

• Personal Identifiers: First name, last name
• Professional Details: Title, direct dial numbers
• Business Information: Company name, address, phone number, fax number, website
• Company Metrics: Employee size, sales volume
• Technology Insights: Information on hardware and software usage across organizations
• Social Media Connections: LinkedIn, Facebook, and direct dial contacts
• Corporate Insights: Detailed company profiles

Unlike many providers that rely solely on third-party vendor files, McGRAW takes a hands-on approach to data validation. Our dedicated nearshore and offshore call centers engage directly with data before each delivery to ensure every record meets our high standards of accuracy and relevance.

In addition, our teams of social media validators, market researchers, and digital marketing specialists continuously refine and update records to maintain data freshness. Each dataset undergoes multiple verification checks using internal validation processes and third-party tools such as Fresh Address, BriteVerify, and Impressionwise to guarantee the highest data quality.

Additional Data Solutions and Services

• Data Enhancement: Email and LinkedIn appends, contact discovery across global roles and functions

• Business Verification: Real-time validation through call centers, social media, and market research

• Technology Insights: Detailed IT infrastructure reports, spending trends, and executive insights

• Healthcare Database: Access to over 80 million healthcare professionals and industry leaders

• Global Reach: US and international GDPR-compliant datasets, complete with email, postal, and phone contacts

• Email Broadcast Services: Full-service campaign execution, from testing to live deployment, with tracking of key engagement metrics such as opens and clicks

Many B2B data providers rely on vendor-contributed files without conducting the rigorous validation necessary to ensure accuracy. This often results in outdated and unreliable data that fails to meet the demands of a fast-moving business environment.

McGRAW takes a different approach. By owning and operating dedicated call centers, we directly verify and validate our data before delivery, ensuring that every record is up-to-date and ready to drive business success.

Through continuous validation, social media verification, and real-time updates, McGRAW provides a high-quality, dependable database for businesses that prioritize data integrity and performance. Our Global Business Executives database is the ideal solution for companies that need accurate, relevant, and market-ready data to fuel their strategies.

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

The global third-party maintenance for data center market is anticipated to reach a value of $2734.6 million by 2033, expanding at a CAGR of 11.2% from 2025 to 2033. The rising need for cost-effective maintenance services, technological advancements in data center infrastructure, and increasing adoption of cloud and colocation services are primarily driving market growth. Furthermore, the growing importance of data security and compliance regulations is expected to further fuel demand for third-party maintenance services. The market is segmented based on application, type, and region. By application, the large enterprises segment is projected to hold a significant market share, attributed to the increasing number of data centers and the need for reliable maintenance services. By type, the server maintenance segment is expected to witness substantial growth due to the rising adoption of cloud and virtualization technologies. Geographically, North America is anticipated to dominate the market, followed by Europe and Asia Pacific. The increasing presence of data center providers and the growing adoption of third-party maintenance services in these regions are key factors contributing to market growth.

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.

People Authority (PA) compiles a comprehensive database of individual profiles. The data is sourced from various feeds, including contributions from external datasets and third-party providers. Current data providers encompass public officials and directors, analysts and brokers, contacts from buy and sell-side, and insiders. The aggregated data forms a single, authoritative entry for each individual. Each entry is given a unique, permanent identifier, created through the mastering of essential attributes, both public and private, to accurately identify and describe the person. The Permid enables users to make extensive and detailed connections about individuals. Our approach advocates a standardized, federated collection system. No single entity is in charge of overseeing the individuals in PA. Various content groups utilize PA as the definitive source to reference an individual, and, if necessary, they can create or update records directly in the database using contribution tools.

According to Cognitive Market Research, The global third-party risk management market size is USD 5.5 billion in 2023 and will expand at a compound annual growth rate (CAGR) of 17.20% from 2023 to 2030.

The demand for third party risk managements is rising due to Resource optimization to protect the interests of millions of digital financial service consumers.
Demand for cloud remains higher in the third party risk management market.
The BFSI category held the highest third party risk management market revenue share in 2023.
North American third party risk management will continue to lead, whereas the European third party risk management market will experience the most substantial growth until 2030.

Rising Instances of Cyber-attacks and Frauds in Digital Financial Services to Provide Viable Market Output

With greater internet penetration, the deployment of smart technology has enhanced the appeal of digital financial services such as mobile banking and digital payments. Because of the growth of digital services, businesses must adapt and incorporate sophisticated technologies into their offerings. However, as the use of digital payment systems in the BFSI sector has grown, so have the risks of cyber-attacks and fraud. BFSI stakeholders are investing heavily to protect their clients from such disasters. The market for third-party risk management will develop as resources are optimized to protect the interests of millions of users of digital financial services.

Growing digitization of Businesses to Propel Market Growth

Industry automation and digitization have exacerbated data privacy and security breaches. With growing digitization, various stakeholders become involved, heightening safety issues. This spike in third-party involvement is propelling the third-party risk management market, raising associated hazards. As industries increasingly rely on external partners and vendors, the need for robust risk management solutions to protect against potential vulnerabilities and ensure the integrity of sensitive data becomes critical in the midst of an evolving landscape of technological advancements and increased interconnectivity.

Market Dynamics of

Third Party Risk Management Market

Key Drivers of

Third Party Risk Management Market

Increasing Regulatory Compliance Demands : Organizations are encountering heightened regulatory pressures to ensure that third parties adhere to legal and compliance standards, particularly in sectors such as finance, healthcare, and technology. Regulations like GDPR, HIPAA, and SOX require comprehensive risk assessments and ongoing monitoring. As the consequences of non-compliance become more severe, businesses are allocating resources to third-party risk management platforms to protect their operations and ensure regulatory compliance.

Escalating Outsourcing and Supply Chain Complexity : As organizations expand their global reach and outsource essential services, the intricacy of managing third-party vendors, suppliers, and partners significantly increases. This escalation results in greater exposure to cybersecurity threats, operational interruptions, and data breaches. The demand for real-time visibility, thorough due diligence, and risk profiling across multi-tier vendor ecosystems is a key factor driving the need for effective TPRM solutions.

Increase in Cybersecurity Threats from Third Parties : Third-party vendors frequently represent the most vulnerable aspect of an organization’s cybersecurity framework. Notable breaches associated with third-party failures have raised awareness regarding vendor-related cyber risks. Companies are now pursuing comprehensive tools to continuously monitor vendor activities, implement security measures, and proactively address vulnerabilities, leading to substantial growth in the market for third-party risk management software and services.

Key Restraints in

Third Party Risk Management Market

High Implementation and Operational Costs : Implementing a successful Third-Party Risk Management (TPRM) program often necessitates a significant initial investment in software, training, and resources. For small to medium-sized enterprises, these expenses can be overwhelming. Beyond the initial setup, continuous risk monitoring and compliance audits further elevate operational costs, which can deter adoption among organizations with limited budgets or those lack...

This data package consists of bioresearch monitoring information system (BMIS) dataset, directory of the different biotech and biopharmaceutical and pharmaceutical companies in the United States and the European Union, establishment registration database, drug wholesale distributor and third-party logistics provider reporting database, establishment inspections conducted by FDA, and FDA post-marketing requirements and commitments searchable database.

Podcast Attribution Analytics Market Outlook

According to our latest research, the global podcast attribution analytics market size reached USD 1.21 billion in 2024 and is expected to grow at a robust CAGR of 17.9% during the forecast period, reaching USD 5.16 billion by 2033. This remarkable growth is driven by the increasing adoption of advanced analytics tools by brands, advertisers, and content creators to measure, optimize, and monetize podcast campaigns more effectively. The surge in podcast consumption, coupled with the rising demand for precise audience measurement and campaign performance insights, continues to fuel market expansion and innovation.

One of the primary growth factors propelling the podcast attribution analytics market is the rapid proliferation of podcasts as a mainstream content channel. As digital audio consumption skyrockets, businesses are increasingly leveraging podcasts to engage with niche audiences and drive brand awareness. The need for accurate measurement of listener behaviors, ad effectiveness, and campaign ROI has become critical, prompting a surge in demand for sophisticated analytics solutions. These solutions enable advertisers and publishers to move beyond basic download counts and gain granular insights into listener demographics, engagement patterns, and conversion funnels, thereby enhancing overall campaign efficacy.

Another significant driver is the evolution of advertising models within the podcasting ecosystem. With advertisers allocating larger budgets to digital audio, there is a heightened focus on accountability and transparency in ad spend. Podcast attribution analytics platforms bridge the gap between ad delivery and actual business outcomes by providing actionable metrics such as attributed conversions, listener retention, and cross-platform engagement. This capability empowers brands and agencies to optimize their strategies in real time, maximize return on investment, and justify continued investment in podcast advertising. Furthermore, the integration of AI and machine learning technologies is enabling deeper predictive analytics, automated reporting, and real-time attribution, further accelerating market growth.

The increasing regulatory scrutiny around data privacy and the phasing out of third-party cookies are also shaping the trajectory of the podcast attribution analytics market. As traditional digital advertising channels face new limitations, podcasting emerges as a privacy-compliant alternative that leverages first-party data and contextual targeting. Analytics providers are responding by developing solutions that ensure compliance with global data protection standards such as GDPR and CCPA, while still delivering rich attribution insights. This alignment with evolving privacy norms is enhancing the credibility and adoption of podcast attribution analytics across diverse industry verticals.

Regionally, North America remains the dominant force in the podcast attribution analytics market, accounting for a significant share of global revenues in 2024. The region’s advanced digital infrastructure, high podcast penetration rates, and mature advertising ecosystem have created fertile ground for analytics innovation. Europe follows closely, driven by rising podcast listenership and increasing investments from media companies and advertisers. Meanwhile, Asia Pacific is emerging as a high-growth region, fueled by expanding internet access, smartphone adoption, and a burgeoning creator economy. Latin America and the Middle East & Africa are also witnessing steady gains as local content production and digital advertising activities accelerate.

Component Analysis

The podcast attribution analytics market by component is segmented into software and services, each playing a pivotal role in shaping the industry’s landscape. Software solutions form the backbone of attribution analytics, offering comprehensive dashboards, real-time data processing, and customizable reporting tools that empower users to derive actionable insights from vast volumes of podcast data. These platforms integrate seamlessly with podcast hosting providers, ad servers, and third-party data sources, enabling holistic measurement of audience engagement, campaign performance, and ad effectiveness. As the demand for scalable, user-friendly analytics tools intensifies, software vendors are focusing on enhancing UI/UX, automation capabilities, and interoperability with other martech s

802 Global export shipment records of Third,party with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Customer Journey Analytics Market Outlook

According to our latest research, the global Customer Journey Analytics market size reached USD 12.7 billion in 2024, demonstrating robust growth driven by the increasing demand for personalized customer experiences and advanced analytics solutions. The market is projected to expand at a CAGR of 18.2% from 2025 to 2033, with the total market value expected to rise to USD 54.8 billion by 2033. This impressive growth trajectory is primarily fueled by the widespread adoption of digital channels, the proliferation of customer touchpoints, and the growing emphasis on data-driven decision-making across industries.

One of the primary growth factors propelling the Customer Journey Analytics market is the accelerating shift towards digital transformation across enterprises of all sizes. As businesses increasingly operate in a digital-first environment, the volume and complexity of customer interactions have soared. This has created an urgent need for sophisticated analytics solutions that can capture, integrate, and interpret data from multiple channels, such as web, mobile, social media, and in-store experiences. Customer journey analytics platforms enable organizations to gain a 360-degree view of the customer, identify pain points, and optimize engagement strategies, ultimately driving higher customer satisfaction and loyalty. The integration of artificial intelligence and machine learning into these platforms further enhances their predictive capabilities, allowing businesses to anticipate customer needs and deliver proactive, personalized experiences.

Another significant driver is the increasing focus on customer-centricity and the rising importance of customer experience (CX) as a competitive differentiator. In today’s hyper-competitive marketplace, organizations recognize that delivering seamless, personalized, and consistent experiences across all touchpoints is crucial for retaining customers and enhancing brand loyalty. Customer journey analytics empowers businesses to map and analyze the entire customer journey, uncover hidden patterns, and identify opportunities for improvement. By leveraging insights from these analytics, companies can tailor their marketing campaigns, improve product offerings, and streamline service delivery, resulting in improved conversion rates and reduced churn. The heightened adoption of omnichannel strategies further amplifies the need for integrated analytics solutions capable of tracking and optimizing customer journeys across diverse platforms.

The rapid advancements in data integration and analytics technologies are also fueling market growth. Modern customer journey analytics solutions offer seamless integration with a wide array of data sources, including CRM systems, ERP platforms, marketing automation tools, and third-party data providers. This interoperability allows organizations to break down data silos and create unified customer profiles, enabling more accurate and actionable insights. Additionally, the emergence of real-time analytics capabilities empowers businesses to respond promptly to customer behaviors and preferences, enhancing agility and responsiveness. The growing availability of cloud-based analytics solutions is further democratizing access to advanced analytics tools, enabling small and medium enterprises to harness the power of customer journey analytics without significant upfront investments.

From a regional perspective, North America continues to dominate the Customer Journey Analytics market, accounting for the largest revenue share in 2024. This leadership position is attributed to the high concentration of technology-driven enterprises, early adoption of advanced analytics solutions, and a strong focus on customer experience management in the region. Europe and Asia Pacific are also witnessing substantial growth, driven by the increasing digitalization of businesses, rising investments in CX initiatives, and the expanding presence of global and regional analytics vendors. The Asia Pacific region, in particular, is expected to register the highest CAGR over the forecast period, fueled by rapid economic growth, burgeoning e-commerce markets, and growing awareness of the strategic importance of customer journey analytics among enterprises.

Open Banking Systems Market Outlook

The Open Banking Systems market has witnessed significant expansion and transformation over the recent years, with a projected market size reaching USD 43.15 billion by 2032, growing from USD 11.67 billion in 2023, at a robust CAGR of 15.6%. This meteoric rise is largely driven by the increasing demand for more personalized and efficient banking services, the proliferation of digital platforms, and a strong regulatory push for transparency and consumer empowerment. The growth of this market is underpinned by the rapid digitization of the financial sector, coupled with consumer preferences shifting towards more open and competitive banking solutions. As fintech innovations continue to reshape the landscape, the open banking systems market is set to embrace an era of unparalleled growth, unlocking new financial opportunities and value for consumers and businesses alike.

One of the primary growth factors fueling the advancement of the open banking systems market is the regulatory frameworks being adopted by countries worldwide. Governments and financial authorities are increasingly mandating open banking initiatives to create a more competitive environment and enhance consumer choice. Regulations such as the Revised Payment Services Directive (PSD2) in Europe and the Consumer Data Right (CDR) in Australia have set the stage for increased data sharing among financial institutions, third-party providers, and fintech companies. These frameworks not only bolster consumer trust by ensuring data protection and security but also stimulate innovation by allowing new players to enter the market, offering unique and tailored financial solutions. As more countries adopt similar regulations, the open banking systems market is poised for further growth, with regulatory support acting as a catalyst for widespread adoption and integration.

Another significant driver of the open banking systems market is the growing consumer demand for seamless and personalized banking experiences. In today's fast-paced digital age, consumers expect quick, easy access to their financial data and services, customized to their individual needs and preferences. Open banking enables this by facilitating interoperability between various financial institutions and third-party service providers, allowing users to manage their finances through a single, integrated platform. This demand for innovative, user-centric financial services is prompting banks and fintech companies to invest heavily in open banking solutions, driving market growth as they strive to offer enhanced customer experiences and maintain a competitive edge. Furthermore, the proliferation of smartphones and mobile applications has accelerated the adoption of open banking solutions, providing consumers with unprecedented control over their financial lives.

The technological advancements in cloud computing, APIs (Application Programming Interfaces), and data analytics are also pivotal to the open banking systems market's expansion. The adoption of cloud-based solutions offers scalability, flexibility, and cost-efficiency, enabling financial institutions to rapidly implement open banking services and respond to changing market demands. APIs play a crucial role in facilitating secure data exchange between banks and third-party providers, fostering a collaborative ecosystem that encourages innovation and the development of new financial products. Moreover, advanced data analytics tools empower financial institutions to gain deeper insights into consumer behavior, allowing them to offer personalized services and optimize customer engagement. As these technologies continue to evolve, they will drive further growth and transformation in the open banking systems market, making it an integral component of the future financial landscape.

Regionally, the open banking systems market is witnessing dynamic growth patterns, with Europe leading the charge due to its early adoption of regulatory frameworks like PSD2. The region's emphasis on transparency and consumer control over financial data has created a fertile environment for open banking initiatives. Meanwhile, North America is experiencing rapid adoption driven by the strong presence of fintech companies and increasing consumer demand for innovative financial products and services. The Asia Pacific region is also emerging as a significant player in the open banking market, propelled by a combination of government initiatives and a burgeoning digital economy. As these regions continue to pursue open banking, the market is expected to see diverse growth trajectories, each shaped by unique regional characteristics and market dynamics.

Se

Abstract

Rates of overweight, obesity, and chronic diseases such as cardiovascular diseases, hypertension, type 2 diabetes and certain cancers (bowel, lung, prostate and uterine) are on the rise in most sub-saharan Africa (SSA) countries like kenya. These increases can be largely attributed to the shift toward unhealthy diet patterns and increased access to processed foods that are high in fat, sugar, and sodium. The influx of supermarkets in east africa and the replacement of traditional foods for processed foods places this region in a vulnerable position for greater increases in chronic disease rates. Consumer purchasing history from supermarkets can provide valuable insight to food intake over time and the present and future effects on chronic diseases. Purchasing data from supermarkets is available yet underutilized in SSA.

The study aimed to harmonize and increase accessibility to grocery data, use statistical methods to explore purcharing patterns and predict the effects of nutrition on chronic diseases, and inform policy on the various influences on consumer purchases.

Geographic coverage

County coverage: Nairobi and Kiambu.

Analysis unit

Individuals and supermarket transaction records.

Universe

The survey covers transaction records of individuals who made purchases in supermarkets.

Sampling procedure

The study is a cross-sectional exploratory study with a phased approach employing quantitative secondary data collection from a third-party information management solution provider. The third party provider employs an open integrated point of sale and store information retail system that connects retail touch points and sales channels in several counties in Kenya.

Sampling was conducted after a census of all supermarkets subscribed to the third party system was done. Only those counties with supermarkets subscribed to the platform were sampled. A sample of large, medium sized and small supermarkets were selected to participate in the study. The supermarket sizes were determined as follows; large supermarkets ( supermarkets with a cumulative total of more than 8 branch networks). Medium size supermarkets will be those with 3-8 branch networks in the counties and smaller supermarkets are those with 1-2 branch networks.

Grocery data was received from a supermarket chain with 3 branches.

Sampling deviation

Not Applicable

Mode of data collection

Other [oth]

Research instrument

A standardized form was developed to guide in extration of information from 3rd party information provider for supermarket purchase data. Variables of interest includes supermarket name, supermarket branch, location of supermarket, invoice id, customer id, customer demographics (gender, age), date and time of purchase, product name purchased, unit price per item, number of items purchased, payment method used by customer for purchase etc.

Secondary data collected will not be identifiable as it will be anonymized at the supermarket and client level.

The standardized form is provided as external resources data. V1-V18 the questions are found in the “Study abstraction tool”

Cleaning operations

Not Applicable

Response rate

Not Applicable

Sampling error estimates

Not Applicable

The Vendor Risk Management (VRM) market is experiencing robust growth, projected to reach $11.98 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) exceeding 12.50% from 2025 to 2033. This expansion is fueled by several key factors. Increasing regulatory scrutiny across various industries, coupled with the rising frequency and severity of cyberattacks and data breaches, are driving organizations to prioritize robust VRM strategies. The growing adoption of cloud-based solutions and the expansion of global supply chains are further contributing to market growth. Furthermore, the increasing complexity of IT infrastructures and the reliance on third-party vendors necessitate comprehensive VRM programs to mitigate potential risks. The market is segmented by type (solutions and services), deployment (on-premises and cloud), organization size (SMEs and large enterprises), and industry vertical (BFSI, Telecom & IT, Manufacturing, Government, Healthcare, and others). The solutions segment, encompassing Vendor Information Management, Quality Assurance Management, Financial Control, Compliance Management, Audit Management, and Contract Management, dominates the market due to the crucial role these solutions play in comprehensive risk mitigation. The cloud deployment model is gaining traction due to its scalability, cost-effectiveness, and accessibility. Large enterprises are the primary adopters of VRM solutions, driven by their complex supply chains and greater regulatory pressures. North America currently holds a significant market share, but the Asia-Pacific region is projected to witness substantial growth in the coming years, fueled by increasing digitalization and adoption of advanced technologies. Leading players like RSA Security LLC, Genpact Limited, LockPath, MetricStream, IBM Corporation, and others are shaping the market landscape through strategic partnerships, acquisitions, and product innovations. The competitive landscape is characterized by a mix of established players and emerging vendors, leading to innovation and market dynamism. However, factors such as high implementation costs, integration challenges, and the need for skilled professionals can restrain market growth to some degree. Despite these challenges, the ongoing digital transformation and increasing reliance on third-party vendors will continue to drive the demand for effective VRM solutions, ensuring sustained market growth throughout the forecast period. Recent developments include: September 2023 - Certa, a third-party management platform, has raised USD 35 million to invest in artificial intelligence that takes text-based policies around everything from ESG and legal to compliance and procurement and converts them into controlled workflows that integrate with third-party tools. Using artificial intelligence will allow customers to reduce the size of their vendor management team and onboard third-party providers more quickly., May 2023 - Vanta, a SaaS-based security and compliance solution provider, launched a Vendor Risk Management (VRM) offering focused on helping customers streamline third-party security with automated workflows for vendor security reviews and compliance. It is designed to combine the entire vendor management process within a single, automated workflow with necessary integrations with third-party applications, identity providers, and database systems.. Key drivers for this market are: Need for the Efficient Management of Complex Vendor Ecosystems, View the Risk Levels Associated With Various Tasks. Potential restraints include: Need for the Efficient Management of Complex Vendor Ecosystems, View the Risk Levels Associated With Various Tasks. Notable trends are: BFSI is Expected to Witness Significant Growth.

From our comprehensive UK Data Lake, we proudly present 5M+ high-quality UK 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.

Insurance Analytics Software Market Outlook

The global insurance analytics software market size is expected to experience substantial growth, reaching an estimated USD 18.5 billion by 2032 from USD 7.8 billion in 2023, showcasing a robust CAGR of 10.1% over the forecast period from 2024 to 2032. This growth is primarily driven by technological advancements, increasing data generation, and the imperative need for data-driven decision-making processes within the insurance industry. The integration of artificial intelligence, machine learning, and big data analytics into insurance systems is transforming the traditional insurance business model, enabling better risk assessment, fraud detection, and enhanced customer experience.

One of the critical growth factors propelling the market is the exponential increase in data generation, which necessitates the adoption of advanced analytics solutions. The insurance sector is inundated with data from various sources, including policy documents, customer interactions, claims, and third-party data providers. This vast amount of data, if utilized effectively, can offer significant insights into customer behavior and preferences, enabling insurance companies to tailor their products and services. Moreover, the growing awareness among insurers about the benefits of leveraging analytics for operational efficiency, cost reduction, and improved customer satisfaction is further fueling the demand for insurance analytics software.

Another significant driver is the rising incidence of fraudulent activities in the insurance sector, which has heightened the need for sophisticated fraud detection and prevention systems. Insurance companies are increasingly deploying analytics solutions to identify patterns, anomalies, and potential fraudulent claims in real-time. This proactive approach not only reduces the financial losses associated with fraud but also enhances the trust and reliability of insurance services among consumers. Additionally, regulatory requirements mandating transparency and accountability in insurance operations are pushing insurers to adopt analytics solutions, ensuring compliance while minimizing the risk of penalties.

The growing emphasis on customer-centric approaches in the insurance industry is also contributing to market growth. Today’s consumers demand personalized experiences and tailored insurance products that cater to their unique needs and preferences. Insurance analytics software enables companies to achieve this by providing deep insights into customer data, preferences, and behavior patterns. By leveraging these insights, insurers can develop personalized product offerings, improve customer engagement, and ultimately increase customer retention rates. This shift towards personalization is a key trend that is expected to continue driving the adoption of analytics solutions in the insurance sector.

Regionally, North America holds a significant share of the insurance analytics software market, driven by the presence of numerous leading insurance companies and advanced technological infrastructure. The region's well-established regulatory framework and high adoption of digital technologies among insurers further bolster market growth. However, the Asia Pacific region is anticipated to witness the highest CAGR during the forecast period, attributable to the rapidly growing insurance industry, increasing investment in digital transformation, and the rising awareness of the benefits of analytics solutions. As insurance markets in countries such as China, India, and Japan continue to expand, the demand for analytics solutions is expected to rise, offering lucrative growth opportunities for market players.

Component Analysis

In the insurance analytics software market, the components are primarily categorized into software and services, each playing a pivotal role in shaping the market landscape. The software segment holds a larger share owing to the increasing adoption of advanced analytics platforms and tools by insurance companies to streamline operations and enhance decision-making processes. These software solutions offer a wide range of functionalities, including predictive analytics, data visualization, and reporting, enabling insurers to derive actionable insights from large volumes of data. The continuous evolution of software solutions with the integration of AI and machine learning capabilities is further enhancing their efficiency and attractiveness to insurers.

The services segment, although smaller in comparison to software, is witnessing significant growth due to the rising demand for deploymen

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,

AI in Audience Targeting Market Outlook

According to our latest research, the global AI in Audience Targeting market size reached USD 2.8 billion in 2024, with a robust compound annual growth rate (CAGR) of 21.7% observed in recent years. This market is projected to surge to USD 20.3 billion by 2033, driven by the accelerated adoption of artificial intelligence-powered solutions across digital advertising, customer engagement, and analytics. The primary growth factor is the increasing demand for hyper-personalized marketing strategies and data-driven decision-making among enterprises aiming to maximize advertising ROI and improve customer experiences.

The remarkable growth of the AI in Audience Targeting market can be attributed to the exponential increase in digital content consumption and the proliferation of online platforms. Enterprises are leveraging AI-driven tools to sift through massive datasets, enabling them to identify, segment, and target audiences with unprecedented precision. The integration of machine learning algorithms and predictive analytics empowers marketers to anticipate consumer behavior, optimize campaign performance, and allocate resources more efficiently. This shift towards data-centric marketing is further fueled by the decline in traditional advertising effectiveness and the need to reduce customer acquisition costs in highly competitive environments.

Another significant driver is the advancement of AI technologies, such as natural language processing (NLP), deep learning, and computer vision, which have revolutionized the way businesses understand and interact with their audiences. These technologies facilitate real-time analysis of user interactions, preferences, and sentiments across multiple digital touchpoints. As a result, companies can deliver highly relevant content, offers, and recommendations, thereby elevating engagement rates and fostering brand loyalty. The ongoing evolution of AI models and the availability of scalable cloud-based solutions have made these sophisticated tools accessible to organizations of all sizes, further propelling market growth.

Additionally, the increasing regulatory scrutiny on user data privacy and the phasing out of third-party cookies have prompted marketers to seek innovative solutions for audience targeting. AI-driven platforms offer compliant alternatives by leveraging first-party data and anonymized behavioral insights, ensuring both personalization and privacy. This trend is particularly pronounced in regions with stringent data protection laws, where organizations are under pressure to balance personalized marketing with regulatory compliance. The adoption of AI in audience targeting is thus seen as a strategic imperative for businesses striving to maintain a competitive edge while adhering to evolving legal frameworks.

From a regional perspective, North America continues to dominate the AI in Audience Targeting market, accounting for the largest revenue share in 2024, owing to the presence of leading technology providers and early adoption by major enterprises. Europe is witnessing rapid growth, fueled by increasing investments in digital transformation and regulatory compliance initiatives. Meanwhile, Asia Pacific is emerging as the fastest-growing market, driven by the digitalization of economies, rising internet penetration, and the proliferation of mobile devices. Latin America and the Middle East & Africa are also experiencing steady growth as businesses in these regions recognize the value of AI-powered audience targeting in enhancing marketing effectiveness and customer engagement.

Component Analysis

The Component segment of the AI in Audience Targeting market is bifurcated into Software and Services. The software segment encompasses AI-powered platforms, tools, and applications that enable businesses to automate audience segmentation, analyze behavioral data, and deliver personalized marketing campaigns. These solutions are at the forefront of innovation, leveraging advanced machine learning models, natural language processing, and data analytics to provide actionable insights. The growing demand for real-time data processing and predictive analytics has spurred the development of sophisticated software suites that integrate seamlessly with existing marketing technology stacks, offering scalability and flexibility to users.

On the other hand, the services segment includes consulting, implementa

Report Overview

The global Privacy Management Software market has become a vital sector in the technology landscape. With increasingly sophisticated cyber threats, organizations are investing heavily in advanced solutions. In 2023, the market value stood at USD 3.0 billion, and it is projected to soar to USD 83.7 billion by 2033, growing at an impressive CAGR of 39.50% between 2024 and 2033. This surge is fueled by the rapid adoption of digital transformation strategies, growing reliance on cloud infrastructure, and the ever-increasing risk of cyberattacks.

AI and ML are playing a pivotal role in automating privacy management processes. These technologies enable real-time data monitoring, identify compliance risks, and offer predictive insights to mitigate potential breaches. For instance, AI-based solutions can now detect anomalies in large data sets, improving compliance efficiency. By 2024, over 40% of privacy management tools will incorporate AI-driven analytics.

With regulations such as GDPR, CCPA, and China's Personal Information Protection Law (PIPL), companies are prioritizing consumer rights like data portability, the right to be forgotten, and opt-out preferences. Privacy management solutions are increasingly equipped with features to address these rights efficiently. For example, the demand for data subject access request (DSAR) management tools has surged by nearly 35% annually.

Privacy management software is being integrated with broader cybersecurity platforms to create unified solutions. This integration helps companies streamline compliance while protecting data from unauthorized access. Gartner predicts that by 2025, 60% of the privacy management software market will be bundled with cybersecurity suites to address overlapping challenges.

Industries like healthcare, finance, and e-commerce are seeing tailored privacy management solutions that cater to specific compliance needs. For example, healthcare providers are adopting tools to meet HIPAA compliance, while financial institutions are leveraging software that ensures data security in line with GDPR and PSD2 regulations.

Organizations are increasingly concerned about the data shared with third-party vendors. Privacy management tools now include third-party risk assessment capabilities to evaluate vendor compliance with privacy standards. According to a recent survey, 55% of organizations implemented third-party risk management in 2023, a figure expected to grow significantly in 2024.

As businesses migrate to cloud environments, cloud-based privacy management software is becoming a preferred choice due to its scalability and ease of integration. Currently, 67% of businesses prefer cloud-based solutions, a number anticipated to grow as remote work and digital transformation expand.

Governments worldwide are enforcing data localization rules, requiring businesses to store user data within specific geographic boundaries. Privacy management tools now offer features to ensure compliance with such laws, enabling organizations to align with region-specific data storage requirements.

To meet growing consumer expectations, organizations are deploying privacy dashboards that allow users to view, manage, and delete their data. These dashboards are becoming a standard feature, with 30% of companies globally adopting them in 2023 to improve transparency.

Organizatio...