Plugshare-style Data Syndication Market Outlook

According to our latest research, the global Plugshare-style Data Syndication market size is valued at USD 1.42 billion in 2024, reflecting robust momentum as the electric vehicle (EV) ecosystem expands worldwide. The market is expected to grow at a CAGR of 17.8% from 2025 to 2033, reaching a projected value of USD 6.08 billion by 2033. This dynamic growth is primarily driven by the accelerating adoption of electric vehicles, the proliferation of smart mobility solutions, and the increasing demand for real-time, reliable data on EV charging infrastructure. As per the latest research, the market is witnessing a paradigm shift toward seamless data integration, enabling stakeholders to optimize EV charging experiences and infrastructure planning.

A key growth factor propelling the Plugshare-style Data Syndication market is the exponential rise in electric vehicle adoption across both developed and emerging economies. As governments worldwide enforce stringent emission regulations and incentivize EV purchases, the need for accurate, up-to-date information on charging station locations, availability, and pricing has become critical. Data syndication platforms, inspired by Plugshare, play a pivotal role in aggregating and distributing this essential data to automotive OEMs, navigation systems, mobile apps, and fleet operators. The growing complexity of EV charging networks, including public, private, and workplace chargers, further amplifies the importance of centralized, standardized data feeds that can be easily integrated into diverse digital ecosystems.

Another significant driver for this market is the increasing sophistication of data analytics and cloud-based solutions. Modern Plugshare-style data syndication platforms leverage artificial intelligence, machine learning, and big data analytics to provide actionable insights, predictive maintenance, and dynamic pricing models. These technological advancements enable stakeholders—such as charging network operators and municipalities—to make data-driven decisions, optimize asset utilization, and enhance user satisfaction. Furthermore, the integration of user-generated content, such as reviews and photos, adds a layer of authenticity and trust, improving the overall decision-making process for EV drivers and infrastructure planners alike.

The Plugshare-style Data Syndication market is also benefiting from the rapid development of smart cities and the Internet of Things (IoT). Urban planners and energy utilities are increasingly relying on syndicated data to map charging demand, plan grid upgrades, and deploy resources efficiently. This convergence of mobility, energy, and digital infrastructure is fostering new business models and collaborative partnerships. For instance, strategic alliances between automotive manufacturers, navigation service providers, and energy companies are becoming more common, as they seek to deliver seamless, end-to-end charging experiences. The market’s growth trajectory is further supported by regulatory mandates for open data standards and interoperability, which facilitate the integration of diverse data sources into unified platforms.

Regionally, North America and Europe are leading the market, driven by early EV adoption, mature charging infrastructure, and supportive regulatory frameworks. However, Asia Pacific is emerging as the fastest-growing region, fueled by large-scale investments in EV infrastructure, government incentives, and a burgeoning urban population. Latin America and the Middle East & Africa are also showing promising signs, particularly as local governments prioritize sustainable mobility and digital transformation. The regional diversity in market maturity, regulatory environments, and technology adoption is shaping the competitive landscape and driving innovation in data syndication solutions.

Component Analysis

The Plugshare-style Data Syndication market by component is segmented into software, platform, and services. The softw

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Loan Syndication Data Rooms Market Outlook

According to our latest research, the global loan syndication data rooms market size in 2024 stands at USD 1.82 billion, reflecting robust digital transformation in the financial sector. The market is experiencing a healthy compound annual growth rate (CAGR) of 10.7% and is forecasted to reach USD 4.16 billion by 2033. This growth is primarily driven by the increasing complexity and volume of syndicated loan transactions, stringent regulatory requirements, and the rising need for secure, efficient data sharing solutions among financial institutions, corporates, and legal entities. As per our latest research, the adoption of advanced digital platforms is fundamentally reshaping how syndicated loan processes are managed, with data rooms playing a pivotal role in enhancing transparency, collaboration, and risk mitigation.

One of the most significant growth factors for the loan syndication data rooms market is the accelerating digitalization in the banking and financial services industry. Financial institutions are increasingly adopting sophisticated data room solutions to manage the intricate due diligence and documentation processes involved in syndicated loans. The need for secure, centralized platforms that enable real-time collaboration among multiple stakeholders, including banks, corporates, and law firms, is paramount. These data rooms not only streamline workflows but also ensure compliance with evolving data privacy regulations such as GDPR and CCPA. Furthermore, the integration of AI-powered analytics and automation tools within these platforms is enhancing the efficiency of document review, risk assessment, and deal management, making data rooms indispensable for modern loan syndication.

Another key driver fueling market expansion is the surge in cross-border syndicated lending activities, particularly in emerging markets. As global investment flows increase, the complexity of managing multi-jurisdictional documentation, regulatory compliance, and stakeholder communications grows exponentially. Loan syndication data rooms are uniquely positioned to address these challenges by providing robust security features, granular access controls, and comprehensive audit trails. This not only reduces operational risks but also accelerates transaction timelines, which is critical in competitive deal environments. The growing preference for cloud-based deployment models further amplifies this trend, as financial institutions seek scalable, cost-effective solutions that can support global operations and remote collaboration without compromising security.

The evolving regulatory landscape is also shaping the trajectory of the loan syndication data rooms market. As governments and regulatory bodies impose stricter requirements on data protection, anti-money laundering (AML), and know-your-customer (KYC) processes, the demand for compliant, auditable digital platforms is surging. Data rooms equipped with advanced encryption, multi-factor authentication, and comprehensive reporting capabilities are becoming the standard for institutions aiming to mitigate regulatory risks. Additionally, the increasing frequency of cyber threats and data breaches in the financial sector underscores the importance of robust data room solutions that can safeguard sensitive information throughout the loan syndication lifecycle.

From a regional perspective, North America continues to dominate the loan syndication data rooms market, driven by the presence of major financial hubs, early adoption of digital technologies, and a highly regulated banking environment. Europe follows closely, supported by stringent data privacy laws and a mature syndicated lending ecosystem. The Asia Pacific region is emerging as a significant growth frontier, propelled by rapid economic development, expanding cross-border investments, and increasing participation in syndicated loan markets. Latin America and the Middle East & Africa are gradually catching up, fueled by financial sector modernization and growing demand for secure, collaborative platforms to support complex lending activities. Overall, the global market landscape is characterized by dynamic growth, technological innovation, and intensifying competition among solution providers.

DRAKO is a Mobile Location Audience Targeting provider with a programmatic trading desk specialising in geolocation analytics and programmatic advertising. Through our customised approach, we offer business and consumer insights as well as addressable audiences for advertising.

Mobile Location Data can be meaningfully transformed into Audience Targeting when used in conjunction with other dataset. Our expansive POI Data allows us to segment users by visitation to major brands and retailers as well as categorizes them into syndicated segments. Beyond POI visits, our proprietary Home Location Model determines residents of geographic areas such as Designated Market Areas, Counties, or States. Relatedly, our Home Location Model also fuels our Geodemographic Census Data segments as we are able to determine residents of the smallest census units. Additionally, we also have audiences of: ticketed event and venue visitors; survey data; and retail data.

All of our Audience Targeting is 100% deterministic in that it only includes high-quality, real visits to locations as defined by a POIs satellite imagery buildings contour. We never use a radius when building an audience unless requested. We have a horizontal accuracy of 5m.

Additionally, we can always cross reference your audience targeting with our syndicated segments:

Overview of our Syndicated Audience Data Segments: - Brand/POI segments (specific named stores and locations) - Categories (behavioural segments - revealed habits) - Census demographic segments (HH income, race, religion, age, family structure, language, etc.,) - Events segments (ticketed live events, conferences, and seminars) - Resident segments (State/province, CMAs, DMAs, city, county, sub-county) - Political segments (Canadian Federal and Provincial, US Congressional Upper and Lower House, US States, City elections, etc.,) - Survey Data (Psychosocial/Demographic survey data) - Retail Data (Receipt/transaction data)

All of our syndicated segments are customizable. That means you can limit them to people within a certain geography, remove employees, include only the most frequent visitors, define your own custom lookback, or extend our audiences using our Home, Work, and Social Extensions.

In addition to our syndicated segments, we’re also able to run custom queries return to you all the Mobile Ad IDs (MAIDs) seen at in a specific location (address; latitude and longitude; or WKT84 Polygon) or in your defined geographic area of interest (political districts, DMAs, Zip Codes, etc.,)

Beyond just returning all the MAIDs seen within a geofence, we are also able to offer additional customizable advantages: - Average precision between 5 and 15 meters - CRM list activation + extension - Extend beyond Mobile Location Data (MAIDs) with our device graph - Filter by frequency of visitations - Home and Work targeting (retrieve only employees or residents of an address) - Home extensions (devices that reside in the same dwelling from your seed geofence) - Rooftop level address geofencing precision (no radius used EVER unless user specified) - Social extensions (devices in the same social circle as users in your seed geofence) - Turn analytics into addressable audiences - Work extensions (coworkers of users in your seed geofence)

Data Compliance: All of our Audience Targeting Data is fully CCPA compliant and 100% sourced from SDKs (Software Development Kits), the most reliable and consistent mobile data stream with end user consent available with only a 4-5 day delay. This means that our location and device ID data comes from partnerships with over 1,500+ mobile apps. This data comes with an associated location which is how we are able to segment using geofences.

Data Quality: In addition to partnering with trusted SDKs, DRAKO has additional screening methods to ensure that our mobile location data is consistent and reliable. This includes data harmonization and quality scoring from all of our partners in order to disregard MAIDs with a low quality score.

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Change-To-Inventory Time Series for YouGov plc. YouGov plc provides online market research services in the United Kingdom, the Americas, the Middle East, Mainland Europe, India, and the Asia Pacific. It operates through three divisions: Data Products, Research, and Shopper. The Data Products division offers syndicated data products, which are available to clients on a subscription basis such as YouGov BrandIndex, that allows users to continuously monitor 16 fundamental metrics; YouGov Profiles, offers the detailed and real-time portrait of consumer segments. The Research division provides a range of quantitative and qualitative services, including YouGov RealTime Omnibus, a fast-turnaround, multi-client omnibus survey service; YouGov Surveys, a panel-powered and self-service survey building platform; and Custom Research, that provides full end-to-end service, including sample framing, questionnaire design, analysis, presentations and more. The CPS division offers household consumer purchasing data, such as Shopper Consumer Tracking, provides regular tracking of purchasing trends for FMCG categories, consumer segments, brands, products and retail channels; and Shopper Advanced Analytics, provides standardized and bespoke solutions based on consumer panel data to help clients understand consumer motivations, opinions and behaviours. It is also involved in the software development and finance services. YouGov plc was incorporated in 1998 and is headquartered in London, the United Kingdom.

167 syndicated segments 105M+ individuals

Examples of segments available: - Body: Utility - Class: Full Size Utility - Make - Model - Year: - Cars under owner: - Lease/Own - Lien or not - Purchased New/Used - Purchase/Transaction/Validation date

Can be provided upon via special custom requests..!

This database contains information on large corporate and middle market commercial loans filed with the Securities and Exchange Commission, or obtained through other reliable public sources. The Compustat database complements the former database by providing information on borrowers. The fusion of the two databases uses the link table provided by Roberts and Chava (2008). Each contract listed in DealScan, referred to as a deal, consists of one or several facilities or tranches. DealScan provides a unique identification number for each deal allowing the identification of all the tranches belonging to the same deal. Different tranches in a deal can show heterogeneous characteristics in terms of interest rate spreads, amount, currency, maturity, default probability, among others. In particular, not all members of a syndicated loan participate in every tranche of the deal. Our initial information was composed of deals originated in the US market for the period 1986-2013 (inclusive) for which borrower accounting information is available in Compustat. In our empirical analysis, several measures related to the syndicate structure and its previous relationships with the borrower require using the information of the four years prior to each deal active date. This implies that deals from 1986-1989 are only used for this purpose, and therefore the final sample only considers loans issued between 1990 and 2013. Additionally, some loans are excluded from the 1990-2013 period. First, loans to borrowers that are government entities, banks, or financial institutions, and/or regulated borrowers, such as transportation and public utilities (industries identified as SIC 91-99, 60-67 and 40-49). Second, deals where at least one tranche is denominated in currencies other than the US dollar, or for which some basic information is missing, such as the facility amount or tranche interest spread. For the sake of homogeneity, deals with a base rate other than LIBOR were also excluded. After this cleaning process, the final sample consists of 32,102 tranches corresponding to 21,034 deals to 5,206 borrowers over the period 1990-2013. However, of those 32,102 potential observations, a smaller number have complete information for all the variables that we will use in each particular econometric model.

Space Research Syndication Services Market Outlook

According to our latest research, the global Space Research Syndication Services market size reached USD 2.4 billion in 2024, reflecting robust growth driven by increased investments in space technology and expanding commercial activities. The market is expected to grow at a CAGR of 12.1% from 2025 to 2033, reaching a forecasted value of USD 6.7 billion by 2033. This impressive growth trajectory is primarily fueled by rising demand for specialized research, analytics, and consulting services to support the rapidly evolving space industry. As per our latest analysis, the increasing complexity of space missions and the proliferation of new entrants in the commercial space sector are further accelerating the need for comprehensive syndication services globally.

One of the primary growth factors for the Space Research Syndication Services market is the surge in private sector participation in space activities. Over the past decade, the entry of commercial enterprises such as SpaceX, Blue Origin, and others has transformed the space industry landscape, creating a substantial need for in-depth market research, data analytics, and custom consulting services. These companies rely heavily on accurate market intelligence to guide investment decisions, identify emerging opportunities, and navigate regulatory challenges. The increasing frequency of satellite launches, advancements in reusable rocket technologies, and the commercialization of space tourism are all contributing to a higher demand for syndicated research and consulting, as stakeholders seek to stay ahead in a competitive and rapidly evolving market.

Another significant driver is the growing involvement of government agencies and international collaborations in space research and exploration. Agencies such as NASA, ESA, ISRO, and CNSA are intensifying their efforts in deep space missions, lunar exploration, and Mars colonization projects. These initiatives require extensive market research and data analytics to assess feasibility, manage risks, and optimize resource allocation. Furthermore, the strategic partnerships between public and private sectors are fostering innovation and expanding the scope of space-related activities, thereby increasing the need for specialized syndication services. As governments continue to prioritize space as a critical domain for national security, scientific advancement, and economic development, the demand for comprehensive research services is expected to grow substantially.

Technological advancements are also playing a pivotal role in shaping the growth trajectory of the Space Research Syndication Services market. The integration of artificial intelligence, machine learning, and big data analytics is revolutionizing how market research is conducted and consumed in the space sector. These technologies enable more accurate forecasting, real-time data analysis, and enhanced decision-making capabilities for stakeholders. Additionally, the emergence of new applications such as space mining and on-orbit servicing is creating novel research requirements, further expanding the market for syndication services. The ability to deliver actionable insights and tailored consulting solutions is becoming a key differentiator for service providers, driving continuous innovation and market expansion.

From a regional perspective, North America continues to dominate the Space Research Syndication Services market, accounting for the largest share in 2024. This dominance is attributed to the presence of major space agencies, a vibrant commercial space sector, and significant investments in research and development. Europe and Asia Pacific are also witnessing robust growth, driven by increasing government initiatives and the emergence of new space startups. The Middle East & Africa and Latin America are gradually gaining traction, supported by growing interest in satellite technology and space exploration. The regional outlook remains optimistic, with each region contributing to the overall expansion and diversification of the global market.

Service T

Diluted-EPS Time Series for YouGov plc. YouGov plc provides online market research services in the United Kingdom, the Americas, the Middle East, Mainland Europe, India, and the Asia Pacific. It operates through three divisions: Data Products, Research, and Shopper. The Data Products division offers syndicated data products, which are available to clients on a subscription basis such as YouGov BrandIndex, that allows users to continuously monitor 16 fundamental metrics; YouGov Profiles, offers the detailed and real-time portrait of consumer segments. The Research division provides a range of quantitative and qualitative services, including YouGov RealTime Omnibus, a fast-turnaround, multi-client omnibus survey service; YouGov Surveys, a panel-powered and self-service survey building platform; and Custom Research, that provides full end-to-end service, including sample framing, questionnaire design, analysis, presentations and more. The CPS division offers household consumer purchasing data, such as Shopper Consumer Tracking, provides regular tracking of purchasing trends for FMCG categories, consumer segments, brands, products and retail channels; and Shopper Advanced Analytics, provides standardized and bespoke solutions based on consumer panel data to help clients understand consumer motivations, opinions and behaviours. It is also involved in the software development and finance services. YouGov plc was incorporated in 1998 and is headquartered in London, the United Kingdom.

1,000 syndicated segments 230M+ individuals

Examples of genres/segments available: Brands (700+): Retail: Nike Services: Netflix, Amazon, DirecTV Travel: JetBlue, Delta CPG: Gatorade, Kirkland Signature QSR: Taco Bell Finance: Bank of America CE: Samsung Movie genre: Comedy Music genre: Hip Hop TV Channel: ESPN Team fans: Yankees, Knicks, Rangers, Falcons Cell phone carrier: Verizon Wireless

Syndicated Loans Platform Market Outlook

According to our latest research, the global syndicated loans platform market size reached USD 2.45 billion in 2024, reflecting robust demand for digital transformation in syndicated lending processes. The market is projected to grow at a CAGR of 13.2% from 2025 to 2033, reaching a forecasted value of USD 7.06 billion by 2033. This significant growth is primarily driven by the increasing need for efficient, transparent, and automated solutions across the syndicated loan ecosystem, as financial institutions and corporates seek to streamline complex multi-party lending transactions in a rapidly evolving regulatory and technological environment.

Several key growth factors are propelling the syndicated loans platform market forward. One of the most prominent drivers is the rising complexity and volume of syndicated loan transactions, which necessitate sophisticated digital platforms to manage documentation, risk assessment, compliance, and multi-party coordination. The proliferation of cross-border lending, combined with stringent regulatory requirements such as Basel III and IFRS 9, has compelled banks and financial institutions to invest in advanced software and services that enhance operational efficiency, reduce manual errors, and ensure regulatory compliance. Furthermore, the growing adoption of blockchain and artificial intelligence technologies within syndicated loans platforms is transforming traditional workflows, enabling real-time data sharing, automated due diligence, and improved transparency among syndicate members.

Another significant growth factor is the increasing demand for cloud-based syndicated loans platforms, which offer scalability, flexibility, and cost-effectiveness compared to traditional on-premises solutions. Cloud deployment enables seamless collaboration among geographically dispersed stakeholders, accelerates loan origination and syndication cycles, and supports integration with other enterprise financial systems. Additionally, the COVID-19 pandemic has accelerated digital transformation initiatives within the banking and finance sector, driving the adoption of remote, digital-first solutions that support business continuity and remote collaboration. As a result, both established financial institutions and emerging fintech companies are prioritizing investments in cloud-native syndicated loans platforms to remain competitive and agile in a rapidly changing market landscape.

Furthermore, the syndicated loans platform market is benefiting from the expansion of project finance and trade finance activities, particularly in emerging economies across Asia Pacific, Latin America, and the Middle East. Large-scale infrastructure projects, energy investments, and cross-border trade flows require sophisticated syndicated lending mechanisms to pool resources from multiple lenders and mitigate risk exposure. This has led to increased demand for platforms that can handle the unique requirements of project and trade finance, such as multi-currency support, complex risk-sharing structures, and real-time monitoring of disbursements and repayments. As governments and private sector players continue to invest in infrastructure and trade development, the need for advanced syndicated loans platforms is expected to grow substantially.

Regionally, North America remains the largest market for syndicated loans platforms, driven by the presence of major global banks, a mature financial services ecosystem, and early adoption of digital lending technologies. However, Asia Pacific is emerging as the fastest-growing region, fueled by rapid economic growth, expanding corporate borrowing needs, and increased participation of regional banks in cross-border syndicated lending. Europe also holds a significant share, supported by regulatory harmonization and strong demand for project and trade finance solutions. Meanwhile, Latin America and the Middle East & Africa are witnessing steady growth, driven by infrastructure investments and modernization of financial systems. The interplay of these regional dynamics is shaping the global syndicated loans platform market, creating opportunities for both established vendors and new entrants.

958 syndicated segments 390M+ individuals

Examples of segments available: Industries, Title, Company Size Job Function, Occupation Employee count, HQ or branch Revenue, Credit Rating, Public/Private, Sales Volume Company Certifications ABM requests NAICS, SIC codes

Account Based Marketing and NAICS/SIC code customs available on request with no added premium!

Goodwill-and-Other-Intagible-Assets Time Series for YouGov plc. YouGov plc provides online market research services in the United Kingdom, the Americas, the Middle East, Mainland Europe, India, and the Asia Pacific. It operates through three divisions: Data Products, Research, and Shopper. The Data Products division offers syndicated data products, which are available to clients on a subscription basis such as YouGov BrandIndex, that allows users to continuously monitor 16 fundamental metrics; YouGov Profiles, offers the detailed and real-time portrait of consumer segments. The Research division provides a range of quantitative and qualitative services, including YouGov RealTime Omnibus, a fast-turnaround, multi-client omnibus survey service; YouGov Surveys, a panel-powered and self-service survey building platform; and Custom Research, that provides full end-to-end service, including sample framing, questionnaire design, analysis, presentations and more. The CPS division offers household consumer purchasing data, such as Shopper Consumer Tracking, provides regular tracking of purchasing trends for FMCG categories, consumer segments, brands, products and retail channels; and Shopper Advanced Analytics, provides standardized and bespoke solutions based on consumer panel data to help clients understand consumer motivations, opinions and behaviours. It is also involved in the software development and finance services. YouGov plc was incorporated in 1998 and is headquartered in London, the United Kingdom.

Change-To-Liabilities Time Series for YouGov plc. YouGov plc provides online market research services in the United Kingdom, the Americas, the Middle East, Mainland Europe, India, and the Asia Pacific. It operates through three divisions: Data Products, Research, and Shopper. The Data Products division offers syndicated data products, which are available to clients on a subscription basis such as YouGov BrandIndex, that allows users to continuously monitor 16 fundamental metrics; YouGov Profiles, offers the detailed and real-time portrait of consumer segments. The Research division provides a range of quantitative and qualitative services, including YouGov RealTime Omnibus, a fast-turnaround, multi-client omnibus survey service; YouGov Surveys, a panel-powered and self-service survey building platform; and Custom Research, that provides full end-to-end service, including sample framing, questionnaire design, analysis, presentations and more. The CPS division offers household consumer purchasing data, such as Shopper Consumer Tracking, provides regular tracking of purchasing trends for FMCG categories, consumer segments, brands, products and retail channels; and Shopper Advanced Analytics, provides standardized and bespoke solutions based on consumer panel data to help clients understand consumer motivations, opinions and behaviours. It is also involved in the software development and finance services. YouGov plc was incorporated in 1998 and is headquartered in London, the United Kingdom.

Webbula Mortgage delivers the detailed intel about home buyers, more than any other data provider.

206 syndicated segments 107M+ individuals

Examples of segments avail: (initial, most recent, second most recent) - Interest Rate - Lender name - Loan Type - Mortgage Amount - Purchase Range - Loan to Value - Purchase date, Purchase price

Net-Profit-Margin Time Series for YouGov plc. YouGov plc provides online market research services in the United Kingdom, the Americas, the Middle East, Mainland Europe, India, and the Asia Pacific. It operates through three divisions: Data Products, Research, and Shopper. The Data Products division offers syndicated data products, which are available to clients on a subscription basis such as YouGov BrandIndex, that allows users to continuously monitor 16 fundamental metrics; YouGov Profiles, offers the detailed and real-time portrait of consumer segments. The Research division provides a range of quantitative and qualitative services, including YouGov RealTime Omnibus, a fast-turnaround, multi-client omnibus survey service; YouGov Surveys, a panel-powered and self-service survey building platform; and Custom Research, that provides full end-to-end service, including sample framing, questionnaire design, analysis, presentations and more. The CPS division offers household consumer purchasing data, such as Shopper Consumer Tracking, provides regular tracking of purchasing trends for FMCG categories, consumer segments, brands, products and retail channels; and Shopper Advanced Analytics, provides standardized and bespoke solutions based on consumer panel data to help clients understand consumer motivations, opinions and behaviours. It is also involved in the software development and finance services. YouGov plc was incorporated in 1998 and is headquartered in London, the United Kingdom.

Webbula “HIL” segments detail the individual attributes to make a successful campaign… deterministic information on what makes them unique.

246 syndicated segments 333M+ individuals

Examples of segments available: - Seasonal Holidays - Hobbies - Shopping History - Donations - Food & Drink - Reading - Travel - Pets - Collectors - Finance/Investing

526 syndicated segments 382M+ individuals

Examples of segments available: Birth Month/Year, Gender Household comp: Marital Status, Number of adults/children, HH Rank Ethnicity, Religion Primary Spoken Language Own/rent, residence length Type of A/C, Fuel type, Pool, Water type Income range, House value range, Net Worth Credit Card type

The Nigerbus is a syndicated omnibus survey using the quantitative data collection in gathering its information. Since inception in 1980 it has proven to be a reliable tool for keeping abreast on market development and as well as tracking brand performance. The sample is usually over 5,000 and is drawn from the population aged 18 and above. We interview male and female at the ratio of 50:50 that is, 2500 males and 2500 females and this quota is further stratified by age. The interview is conducted in all the 36 states of the Federation and the Federal Capital Territory, Abuja. Each state's sample allocation is proportionate to its size in the 1991 Population Census Results.