According to a survey carried out in August 2020 in the United Kingdom (UK), ** percent of marketing companies collected customer data through their website. Half did so through social media, while a slightly smaller share said they recorded customer data at organized events. Collection via purchase lists and preference centres were the least used methods.

Industry-specific Data Providers Market Outlook

The global industry-specific data providers market size is projected to experience significant growth, with a forecasted CAGR of 15.2% from 2024 to 2032, growing from USD 15.8 billion in 2023 to USD 46.9 billion by 2032. This growth trajectory is primarily driven by the increasing need for data-driven decision-making across various industries, ongoing digital transformation, and advancements in data analytics technologies.

One of the primary growth factors for the industry-specific data providers market is the escalating demand for real-time data and insights across various sectors. Businesses today are increasingly relying on accurate, timely data to inform their strategies, optimize operations, and stay competitive. With the proliferation of IoT devices, social media, and other digital platforms, the volume and variety of data generated have increased exponentially, necessitating specialized data providers who can offer tailored data solutions to meet specific industry needs.

Furthermore, the growth of artificial intelligence (AI) and machine learning (ML) technologies has bolstered the capabilities of data providers, enabling them to offer more sophisticated and actionable insights. These technologies allow for advanced data processing, predictive analytics, and automation, which are particularly valuable in sectors like BFSI, healthcare, and retail. As organizations recognize the potential of AI and ML to drive innovation and efficiency, their reliance on industry-specific data providers is expected to grow.

The increasing regulatory and compliance requirements across industries also contribute to the market's growth. Companies must adhere to various regulations regarding data privacy, security, and reporting, which can be complex and challenging to manage. Industry-specific data providers can help businesses navigate these regulatory landscapes by offering compliant data solutions and services. This not only ensures adherence to laws and regulations but also mitigates the risks associated with data breaches and non-compliance.

From a regional perspective, North America is expected to dominate the industry-specific data providers market, owing to its robust technological infrastructure and high adoption rates of advanced data analytics solutions. However, significant growth is anticipated in the Asia Pacific region, driven by the rapid digitalization of economies, increasing investments in technology, and the rising importance of data in decision-making processes. Europe, Latin America, and the Middle East & Africa will also see considerable growth, albeit at varying paces, as organizations in these regions increasingly recognize the value of specialized data services.

Data Type Analysis

The data type segment in the industry-specific data providers market encompasses various forms of data, including financial data, market data, consumer data, demographic data, and others. Financial data is critical for sectors such as BFSI, where accurate and timely financial information can make or break investment decisions. Market data, on the other hand, is essential for understanding market trends, competitive landscapes, and consumer behavior, which is invaluable for strategic planning and marketing efforts.

Consumer data has become increasingly important in recent years, especially with the rise of personalized marketing and customer-centric business models. This type of data includes information about consumer preferences, purchasing habits, and feedback, which can help companies tailor their products and services to better meet customer needs. Demographic data, which includes details about age, gender, income, and geographic location, is crucial for market segmentation and targeting specific customer groups effectively.

Other types of data, such as operational data and environmental data, also play significant roles in certain industries. For instance, operational data is vital for manufacturing and logistics companies to optimize their processes and improve efficiency. Environmental data is becoming increasingly important for companies looking to adhere to sustainability practices and reduce their environmental impact. The ability to provide these diverse data types tailored to specific industry needs makes industry-specific data providers indispensable partners for businesses across various sectors.

The demand for comprehensive data solutions that integrate multiple data types is also on the rise. Companies are increasingly loo

A 2023 survey found that ** percent of consumers worldwide believe that providing clear information on how consumer data is used would help the company build trust. Another ** percent said the companies might become more trustworthy if they avoid selling consumer information, while ** percent said complying with all privacy regulations was important.

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision USA includes consumer transaction data on 100M+ credit and debit cards, including 35M+ with activity in the past 12 months and 14M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 12K+ merchants, 800+ parent companies, 80+ same store sales metrics, and deep demographic and geographic breakouts. Review data by ticker in our Investor Relations module. Brick & mortar and ecommerce direct-to-consumer sales are recorded on transaction date and purchase data is available for most companies as early as 6 days post-swipe.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

Private equity and venture capital firms can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights teams and retailers can gain visibility into transaction data’s potential for competitive analysis, shopper behavior, and market intelligence.

CE Vision Benefits • Discover new competitors • Compare sales, average ticket & transactions across competition • Evaluate demographic and geographic drivers of growth • Assess customer loyalty • Explore granularity by geos • Benchmark market share vs. competition • Analyze business performance with advanced cross-cut queries

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Data Broker Service Market Outlook

The global data broker service market size is projected to grow from USD 250 billion in 2023 to an estimated USD 450 billion by 2032, reflecting a compound annual growth rate (CAGR) of 6.7%. This substantial growth can be attributed to increasing digitalization, the exponential rise of data-driven decision-making across industries, and the growing realization of the value derived from data analytics. As businesses continue to recognize the potential of leveraging consumer, business, financial, and health data, the demand for data brokerage services is poised to expand significantly.

One of the primary growth factors for the data broker service market is the increasing importance of data in driving business strategies and operations. Companies are increasingly relying on consumer and market data to gain insights into market trends, consumer behavior, and competitive landscapes. This surge in data utilization across sectors such as retail, healthcare, and finance is propelling the demand for data brokerage services that can provide accurate and comprehensive data sets. The proliferation of digital platforms and the Internet of Things (IoT) has further amplified the volume of data generated, thus boosting the need for efficient data brokerage services.

Moreover, advancements in artificial intelligence (AI) and machine learning (ML) technologies are significantly contributing to the market's growth. These technologies enable enhanced data analysis, predictive analytics, and real-time decision-making, making data brokerage services more valuable. Businesses are increasingly investing in AI and ML to analyze large datasets more efficiently and extract actionable insights. Data brokers, in turn, are leveraging these technologies to offer more sophisticated and tailored data solutions, thus attracting a broader customer base.

Privacy regulations and data protection laws are also playing a crucial role in shaping the data broker service market. While these regulations pose challenges, they also create opportunities for compliant data brokers to differentiate themselves in the market. Companies are more inclined to partner with data brokers that demonstrate robust data governance practices and adhere to regulatory requirements. This trend is driving the market towards more ethical and transparent data brokerage practices, increasing the trust and credibility of data brokers among businesses and consumers alike.

The regional outlook for the data broker service market highlights North America as a dominant player, primarily due to the high adoption of data-driven strategies among businesses and the presence of major data brokerage firms. Europe follows closely, driven by stringent data protection regulations like GDPR, which necessitate secure and compliant data handling. The Asia Pacific region is expected to witness the fastest growth, fueled by the rapid digital transformation in countries like China and India and the increasing use of data analytics in various industries. Latin America and the Middle East & Africa regions are also showing promising growth, supported by the rising awareness of data's strategic value and increasing investments in data analytics infrastructure.

Data Type Analysis

The data broker service market by data type comprises consumer data, business data, financial data, health data, and other categories. Consumer data is one of the most significant segments within this market. This type of data includes information on consumer behavior, preferences, purchasing patterns, and demographics. Businesses leverage consumer data to tailor their marketing strategies, enhance customer experiences, and drive sales growth. The increasing use of digital platforms for shopping, social interaction, and information consumption is continually generating vast amounts of consumer data, thereby fueling the demand for consumer data brokerage services.

Business data, encompassing company profiles, industry trends, and competitive intelligence, is another vital segment. Organizations require business data to strategize market entry, expansion, and competitive positioning. Data brokers play a crucial role in aggregating and providing actionable business insights that help companies navigate complex market dynamics. The rise of global trade, the need for cross-border business intelligence, and the growing importance of data-driven decision-making in corporate strategies are driving the demand for business data brokerage services.

Financial data is crucial for sectors like banking, fina

A survey conducted in 2023 shows what are the forms a company can use customers' data in the United States and United Kingdom. Almost ** percent of the time the companies use the data as a form of limiting the number of times an advertisement is shown to the customers and around ** percent of the time to save information, so the consumers do not have to insert them again when entering the website on other occasions. Receiving personalized ads in some form ranges between ** and ** percent.

Snapshot img

Customer Analytics Applications Market Size 2024-2028

The customer analytics applications market size is estimated to grow by USD 16.73 billion at a CAGR of 17.58% between 2023 and 2028. The growth of the market depends on several factors, including the increasing number of social media users, the growing need for improved customer satisfaction, and an increase in the adoption of customer analytics by SMEs. Customer analytics application refers to a software or system that analyzes customer data such as behavioral, demographic, and personal information to gain insights into their behavior, preferences, and needs. It uses various techniques such as data mining, predictive modeling, and statistical analysis to gather information and make informed decisions in marketing, sales, product development, and overall customer management. The goal of a customer analytics application is to enhance customer understanding and improve business strategies by allowing companies to make data-driven decisions and provide personalized experiences to their customers.

What will be the Size of the Market During the Forecast Period?

To learn more about this report, View Report Sample

Market Dynamics

In the evolving internet retail landscape, businesses are increasingly adopting innovative cloud deployment modes to enhance their operational efficiency. Customer Data Platforms (CDPs) like Neustar and Clarity Insight are pivotal in integrating and analyzing customer data to drive personalized experiences and strategic decisions. These platforms leverage cloud deployment modes to offer scalable solutions that support internet retail operations and enhance customer engagement. Data platforms are instrumental in collecting and processing vast amounts of data, providing valuable insights for trailblazers in the industry. By utilizing advanced cloud deployment modes, companies can efficiently manage their data infrastructure and improve their online retail strategies. Integrating Neustar and Clarity Insight into their systems enables businesses to stay ahead of the competition by offering tailored experiences and optimizing their internet retail performance through scalable solutions.

Key Market Driver

An increase in the adoption of customer analytics by SMEs is notably driving market growth. Expanding the efficiency and performance of business operations is critical to achieving the desired set of goals of an organization. Businesses with a customer-centric approach deal with massive amounts of customer data, which is stored, managed, and processed in real-time. SMEs generate numerous forms of customer data related to customer demographics and sales, marketing campaigns, websites, and conversations. Consequently, these businesses must scrutinize all this customer-related data to achieve a competitive edge in the market. SMEs are majorly using these as they enable better forecasting, resource management, and streamlining of data under one platform, lower operational costs, improve decision-making, and expand sales.

In addition, the increase in customer data, along with the companies' need to automate customer data processing, is leading to the increased adoption by SMEs. Hence, customer analytics is being executed across SMEs for better management of their business operations via a centralized management system with enhanced collaboration, productivity, simplified compliance, and risk management. Such factors are the significant driving factors driving the growth of the global market during the forecast period.

Major Market Trends

Advancements in technology are an emerging trend shaping the market growth. AI and ML technologies have revolutionized the way businesses understand and analyze customer data, allowing them to make more informed decisions and deliver customized experiences. Also, AI and ML have played a critical role in fake detection and prevention in the customer analytics market. Algorithms can identify unusual activities that may indicate fraud by analyzing transactional data and behavioral patterns. This allows businesses to secure themselves and their customers from potential financial losses.

Additionally, AI and ML have enhanced customer segmentation capabilities. Businesses can group customers based on their similarities by using clustering algorithms, allowing them to create targeted marketing campaigns for specific segments. This enables enterprises to personalize their messages and offers, resulting in higher customer engagement and conversion rates. These factors are anticipated to fuel the market growth and trends during the forecast period.

Significant Market Restrain

Data integration issues are a significant challenge hindering market growth. To analyze customer data generated from various types of systems, enterprises use these. The expansion in the use of smart devices and Internet penetration is creating huge amounts of dat

In late 2022, just under **** of consumers surveyed across the globe stated they were concerned about the privacy of their personal data when interacting with social media companies, making it the main type of enterprise shoppers were worried about. At only ** percent, respondents to the survey were not anxious as frequently about how their personal data is used by retail companies.

WiserBrand's Comprehensive Customer Call Transcription Dataset: Tailored Insights

WiserBrand offers a customizable dataset comprising transcribed customer call records, meticulously tailored to your specific requirements. This extensive dataset includes:

User ID and Firm Name: Identify and categorize calls by unique user IDs and company names. Call Duration: Analyze engagement levels through call lengths. Geographical Information: Detailed data on city, state, and country for regional analysis. Call Timing: Track peak interaction times with precise timestamps. Call Reason and Group: Categorised reasons for calls, helping to identify common customer issues. Device and OS Types: Information on the devices and operating systems used for technical support analysis. Transcriptions: Full-text transcriptions of each call, enabling sentiment analysis, keyword extraction, and detailed interaction reviews.

Our dataset is designed for businesses aiming to enhance customer service strategies, develop targeted marketing campaigns, and improve product support systems. Gain actionable insights into customer needs and behavior patterns with this comprehensive collection, particularly useful for Consumer Data, Consumer Behavior Data, Consumer Sentiment Data, Consumer Review Data, AI Training Data, Textual Data, and Transcription Data applications.

WiserBrand's dataset is essential for companies looking to leverage Consumer Data and B2B Marketing Data to drive their strategic initiatives in the English-speaking markets of the USA, UK, and Australia. By accessing this rich dataset, businesses can uncover trends and insights critical for improving customer engagement and satisfaction.

Cases:

1. Training Speech Recognition (Speech-to-Text) and Speech Synthesis (Text-to-Speech) Models WiserBrand's Comprehensive Customer Call Transcription Dataset is an excellent resource for training and improving speech recognition models (Speech-to-Text, STT) and speech synthesis systems (Text-to-Speech, TTS). Here’s how this dataset can contribute to these tasks:

Enriching STT Models: The dataset includes a wide variety of real-world customer service calls with diverse accents, tones, and terminologies. This makes it highly valuable for training speech-to-text models to better recognize different dialects, regional speech patterns, and industry-specific jargon. It could help improve accuracy in transcribing conversations in customer service, sales, or technical support.

Contextualized Speech Recognition: Given the contextual information (e.g., reasons for calls, call categories, etc.), it can help models differentiate between various types of conversations (technical support vs. sales queries), which would improve the model’s ability to transcribe in a more contextually relevant manner.

Improving TTS Systems: The transcriptions, along with their associated metadata (such as call duration, timing, and call reason), can aid in training Text-to-Speech models that mimic natural conversation patterns, including pauses, tone variation, and proper intonation. This is especially beneficial for developing conversational agents that sound more natural and human-like in their responses.

Noise and Speech Quality Handling: Real-world customer service calls often contain background noise, overlapping speech, and interruptions, which are crucial elements for training speech models to handle real-life scenarios more effectively.

1. Training AI Agents for Replacing Customer Service Representatives WiserBrand’s dataset can be incredibly valuable for businesses looking to develop AI-powered customer support agents that can replace or augment human customer service representatives. Here’s how this dataset supports AI agent training:

Customer Interaction Simulation: The transcriptions provide a comprehensive view of real customer interactions, including common queries, complaints, and support requests. By training AI models on this data, businesses can equip their virtual agents with the ability to understand customer concerns, follow up on issues, and provide meaningful solutions, all while mimicking human-like conversational flow.

Sentiment Analysis and Emotional Intelligence: The full-text transcriptions, along with associated call metadata (e.g., reason for the call, call duration, and geographical data), allow for sentiment analysis, enabling AI agents to gauge the emotional tone of customers. This helps the agents respond appropriately, whether it’s providing reassurance during frustrating technical issues or offering solutions in a polite, empathetic manner. Such capabilities are essential for improving customer satisfaction in automated systems.

Customizable Dialogue Systems: The dataset allows for categorizing and identifying recurring call patterns and issues. This means AI agents can be trained to recognize the types of queries that come up frequently, allowing them to automate routine tasks such as ...

Noticeable shift to data-driven advertising and marketing is driving demand for customer data platform (CDP) services. The global customer data platform market is placed at US$ 2.6 billion in 2024 and has been projected to expand at a CAGR of 13% to reach a valuation of US$ 8.7 billion by 2034-end.

Report Attributes	Details
Customer Data Platform Market Size (2024E)	US$ 2.6 Billion
Forecasted Market Value (2034F)	US$ 8.7 Billion
Global Market Growth Rate (2024 to 2034)	13% CAGR
North America Market Share (2034E)	24.3% CAGR
Market Share of Retail Segment (2034F)	21%
Japan Market Growth Rate (2024 to 2034)	13.5%
Key Companies Profiled	NGDATA Inc. ActionIQ Tealium Adobe AgileOne SAP SE Ascent360, Inc. Salesforce BlueConic Oracle Corporation Lytics Inc. mParticle Inc.

Country-wise Insights

Attribute	United States
Market Value (2024E)	US$ 300 Million
Growth Rate (2024 to 2034)	13.5% CAGR
Projected Value (2034F)	US$ 1.06 Billion

Attribute	China
Market Value (2024E)	US$ 300 Million
Growth Rate (2024 to 2034)	13% CAGR
Projected Value (2034F)	US$ 1.02 Billion

Category-wise Insights

Attribute	Analytics
Segment Value (2024E)	US$ 1.3 Billion
Growth Rate (2024 to 2034)	12.3% CAGR
Projected Value (2034F)	US$ 4.2 Billion

Attribute	Retail
Segment Value (2024E)	US$ 600 Million
Growth Rate (2024 to 2034)	12% CAGR
Projected Value (2034F)	US$ 1.8 Billion

The Healthcare Customer Data Platform Market Report is Segmented by Component (Software and Services), Deployment Mode (On-Premise, and More), Organization Size (Large Enterprises, and More), Application (Predictive Analytics, and More), End User (Healthcare Providers, and More), Geography (North America, Europe, Asia-Pacific, The Middle East and Africa, and South America). The Market Forecasts are Provided in Terms of Value (USD).

Snapshot img

Customer Data Platform Market Size 2024-2028

The customer data platform market size is valued to increase by USD 19.02 billion, at a CAGR of 32.12% from 2023 to 2028. Rising demand for personalized customer services in retail industry will drive the customer data platform market.

Market Insights

North America dominated the market and accounted for a 37% growth during the 2024-2028.
By Deployment - On-premises segment was valued at USD 1.14 billion in 2022
By End-user - Large enterprises segment accounted for the largest market revenue share in 2022

Market Size & Forecast

Market Opportunities: USD 1.00 billion 
Market Future Opportunities 2023: USD 19.02 billion
CAGR from 2023 to 2028 : 32.12%

Market Summary

The Customer Data Platform (CDP) market witnesses significant growth as businesses increasingly prioritize personalized customer experiences, particularly in the retail sector. The retail industry's shift towards delivering customized services across multiple channels has fueled the demand for CDPs. These platforms enable businesses to collect, manage, and activate customer data in real-time, enhancing the ability to deliver tailored marketing campaigns and improving customer engagement. However, the market's expansion is not without challenges. Customer data privacy concerns persist, necessitating robust data security measures. As businesses collect and process vast amounts of data, ensuring compliance with various data protection regulations becomes essential. For instance, a manufacturing company might optimize its supply chain by utilizing CDPs to analyze customer data, predict demand patterns, and personalize communication. By anticipating customer needs and streamlining operations, this company can improve overall efficiency and customer satisfaction. Despite these opportunities, the CDP market faces ongoing challenges, including data integration complexities and the need for standardization. These issues necessitate continuous innovation and collaboration among industry stakeholders to ensure the successful implementation and adoption of CDPs.

What will be the size of the Customer Data Platform Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free SampleThe Customer Data Platform (CDP) market continues to evolve, offering businesses advanced solutions for managing and activating customer data. CDPs enable data segmentation, validation, and deduplication, ensuring accurate and consistent customer profiles. They facilitate targeting effectiveness through personalization techniques and business intelligence, providing performance metrics and real-time analytics. One significant trend in the CDP market is the integration of machine learning models for user behavior analysis and predictive analytics. These capabilities enable data-driven decision making, improving customer experience management and campaign performance. For instance, companies have reported a 30% increase in marketing ROI by leveraging CDPs for data-driven campaigns. Data management is a crucial boardroom-level decision area for businesses, and CDPs address this need by offering data lakes, reporting dashboards, and data pipelines. These features enable businesses to collect, store, and access vast amounts of data, transforming it into valuable insights. By investing in a CDP, organizations can streamline their data processes, ensuring compliance with data protection regulations and enhancing overall data management efficiency.

Unpacking the Customer Data Platform Market Landscape

In today's business landscape, effective customer data management is crucial for driving growth and optimizing marketing strategies. The customer data platform (CDP) market plays a pivotal role in this regard, enabling businesses to segment their customer base more accurately and personalize interactions. According to recent studies, CDPs have led to a 10% increase in conversion rates by enabling behavioral analytics and real-time data processing. Furthermore, identity resolution and data modeling have resulted in a 3:1 return on investment (ROI) for businesses by improving customer segmentation and marketing campaign optimization.

Data integration and CRM integration are essential components of CDPs, ensuring data accuracy and compliance with regulations. Data visualization and user experience optimization facilitate better decision-making, while data activation and data enrichment enhance customer insights. Predictive modeling and audience targeting enable businesses to anticipate customer needs and tailor offerings accordingly.

Data security, data privacy, and data governance are integral to CDPs, ensuring that businesses maintain control over their data while adhering to industry standards. CDPs also facilitate API integrations and attribution modeling, enabling seamless data flow between systems

Global Customer Analytics market size is expected to reach $28.55 billion by 2029 at 19.6%, segmented as by solution, social media analytical tools, dashboard, extract transform load or data management, web analytical tool, reporting

Comprehensive Consumer Review Dataset from PissedConsumer

This unique, extensive dataset from PissedConsumer includes over 5 million reviews covering more than 140,000 companies globally. It is ideal for hedge funds, venture capital firms, and investment companies seeking to deepen their understanding of internal processes and predict emerging trends.

Key Features:

Volume and Coverage: Over 5 million reviews on 140,000 companies, offering a broad and precise view of consumer opinions.

Detailed Complaint Insights: Each review includes a complaint title and text, allowing for an in-depth understanding of consumer issues and typical expectations.

Desired Solutions: Data includes preferred resolutions, enabling analysis of company standards and responsiveness to consumer demands.

Device and Date Specifics: Reviews include device type and activation dates, adding further context to your analysis.

Geographical Information: Data includes company locations down to the state and city levels for precise regional analysis.

Company and Industry Data: Reviews are organized by company name and industry type, facilitating targeted research.

This unique dataset from PissedConsumer offers investment analysts valuable insights into consumer needs, business resilience, and improved investment strategies. Leverage this resource for more accurate stock price forecasting, understanding customer satisfaction levels, and assessing companies’ operational practices in competitive markets.

Category: Consumer Review Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Transact Signal EUR includes consumer transaction data on 6.7M+ credit cards, debit cards, direct debit accounts, and direct transfer accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 5K+ merchants, 3K+ brands mapped to 600 global parent companies (500 publicly traded), and deep geographic breakouts with demographic breakouts coming soon for UK. Brick & mortar , and ecommerce direct-to-consumer sales are recorded on transaction date and purchase data is available for most companies as early as 5 days post-swipe.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

Public and private investors can leverage insights from CE’s synthetic data to assess consensus estimates and investment opportunities, while consumer marketing and retailers can gain visibility into transaction data’s potential for competitive analysis, shopper behavior, and consumer insights.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details

Global Spend Analysis with Consumer Edge Credit & Debit Card Transaction Data

Consumer Edge is a leader in alternative consumer data for public and private investors and corporate clients. CE Vision EUR is an aggregated transaction feed that includes consumer transaction data on 6.7M+ Europe-domiciled payment accounts, including 5.3M+ active monthly users. Capturing online, offline, and 3rd-party consumer spending on public and private companies, data covers 4.4K+ brands and 620 symbols including 490 public tickers. Track detailed consumer behavior patterns, including retention, purchase frequency, and cross shop in addition to total spend, transactions, and dollars per transaction.

Consumer Edge’s consumer transaction datasets offer insights into industries across consumer and discretionary spend such as: • Apparel, Accessories, & Footwear • Automotive • Beauty • Commercial – Hardlines • Convenience / Drug / Diet • Department Stores • Discount / Club • Education • Electronics / Software • Financial Services • Full-Service Restaurants • Grocery • Ground Transportation • Health Products & Services • Home & Garden • Insurance • Leisure & Recreation • Limited-Service Restaurants • Luxury • Miscellaneous Services • Online Retail – Broadlines • Other Specialty Retail • Pet Products & Services • Sporting Goods, Hobby, Toy & Game • Telecom & Media • Travel

This data sample illustrates how Consumer Edge data can be used to understand a company’s growth by country for a specific time period (Ex: What was McDonald’s year-over-year growth by country from 2019-2020?)

Inquire about a CE subscription to perform more complex, near real-time global spend analysis functions on public tickers and private brands like: • Analyze year-over-year spend growth for a company for a subindustry by country • Analyze spend growth for a company vs. its competitors by country through most recent time

Consumer Edge offers a variety of datasets covering the US and Europe (UK, Austria, France, Germany, Italy, Spain), with subscription options serving a wide range of business needs.

Use Case: Global Spend Analysis

Problem A global retailer wants to understand company performance by geography to identify growth and expansion opportunities.

Solution Consumer Edge transaction data can be used to analyze shopper behavior across geographies and track: • Growth trends by country vs. competitors • Brand performance vs. subindustry by country • Opportunities for product and location expansion

Impact Marketing and Consumer Insights were able to: • Develop weekly reporting KPI's on key growth drivers by geography for company-wide reporting • Refine strategy in underperforming geographies, both online and offline • Identify areas for investment and expansion by country • Understand how different cohorts are performing compared to key competitors

Corporate researchers and consumer insights teams use CE Vision for:

Corporate Strategy Use Cases • Ecommerce vs. brick & mortar trends • Real estate opportunities • Economic spending shifts

Marketing & Consumer Insights • Total addressable market view • Competitive threats & opportunities • Cross-shopping trends for new partnerships • Demo and geo growth drivers • Customer loyalty & retention

Investor Relations • Shareholder perspective on brand vs. competition • Real-time market intelligence • M&A opportunities

Most popular use cases for private equity and venture capital firms include: • Deal Sourcing • Live Diligences • Portfolio Monitoring

Public and private investors can leverage insights from CE’s synthetic data to assess investment opportunities, while consumer insights, marketing, and retailers can gain visibility into transaction data’s potential for competitive analysis, understanding shopper behavior, and capturing market intelligence.

Most popular use cases among public and private investors include: • Track Key KPIs to Company-Reported Figures • Understanding TAM for Focus Industries • Competitive Analysis • Evaluating Public, Private, and Soon-to-be-Public Companies • Ability to Explore Geographic & Regional Differences • Cross-Shop & Loyalty • Drill Down to SKU Level & Full Purchase Details • Customer lifetime value • Earnings predictions • Uncovering macroeconomic trends • Analyzing market share • Performance benchmarking • Understanding share of wallet • Seeing subscription trends

Fields Include: • Day • Merchant • Subindustry • Industry • Spend • Transactions • Spend per Transaction (derivable) • Cardholder State • Cardholder CBSA • Cardholder CSA • Age • Income • Wealth • Ethnicity • Political Affiliation • Children in Household • Adults in Household • Homeowner vs. Renter • Business Owner • Retention by First-Shopped Period • Churn • Cross-Shop • Average Ticket Buckets

Data Monetization Market Outlook

The global data monetization market size was valued at approximately USD 2.12 billion in 2023 and is projected to reach around USD 9.25 billion by 2032, growing at a compounded annual growth rate (CAGR) of 17.8% during the forecast period. The burgeoning market growth is primarily driven by the increasing adoption of big data analytics, AI, and IoT technologies across various industries, aiming to leverage data as a pivotal asset for driving business growth, enhancing customer experiences, and gaining competitive advantages.

One of the key growth factors propelling the data monetization market is the exponential increase in data generation from various sources such as social media, IoT devices, and enterprise systems. Organizations are recognizing the intrinsic value of this data and are investing in advanced analytics tools and platforms to extract actionable insights. These insights help businesses to optimize processes, develop innovative products and services, and make informed strategic decisions. Additionally, regulatory frameworks and guidelines promoting transparent data usage and consumer rights are fostering trust and encouraging data sharing across industries.

Another significant driver is the rising demand for personalized customer experiences. In an era where customer satisfaction and loyalty are paramount, businesses are turning to data monetization to understand customer preferences and behavior better. By analyzing customer data, companies can tailor their offerings, provide targeted marketing, and improve customer engagement. This personalized approach not only enhances customer satisfaction but also drives revenue growth, as satisfied customers are more likely to repeat purchases and recommend products or services to others.

The advancement and proliferation of cloud computing technologies have also played a crucial role in the growth of the data monetization market. Cloud platforms offer scalable, cost-effective, and secure solutions for data storage, processing, and analytics. They enable organizations to handle large volumes of data efficiently and perform complex analytics without significant upfront investments in infrastructure. Moreover, the ease of integrating cloud-based data monetization tools with existing systems encourages more businesses to adopt these technologies, thereby driving market growth.

From a regional perspective, North America holds a significant share of the data monetization market, attributed to the presence of leading technology companies, high adoption rates of advanced technologies, and substantial investments in big data analytics. Europe and Asia Pacific are also witnessing rapid growth, driven by increasing digital transformation initiatives, supportive government policies, and the growing importance of data-driven decision-making in businesses. Latin America and the Middle East & Africa are gradually emerging as potential markets, with improving technological infrastructure and increasing awareness about the benefits of data monetization.

Component Analysis

The data monetization market by component is segmented into tools and services. Tools play a vital role in enabling data collection, storage, processing, and analysis. These include software solutions such as data management platforms, analytics tools, and AI-driven applications, which assist organizations in deriving valuable insights from raw data. The demand for robust data monetization tools is on the rise as companies seek to enhance their data capabilities and drive better business outcomes. Continuous advancements in machine learning and AI are further augmenting the capabilities of these tools, making them indispensable in the data monetization process.

Services, on the other hand, encompass consulting, implementation, and support services that assist organizations in effectively leveraging data monetization tools. These services are crucial for businesses that lack the necessary expertise or resources to deploy and manage data monetization solutions independently. Consulting services provide strategic guidance on data monetization strategies, implementation services ensure seamless integration of tools into existing systems, and support services offer ongoing assistance to optimize performance. The services segment is expected to witness significant growth as more businesses recognize the need for expert support to maximize their data monetization efforts.

Moreover, the growing trend of outsourcing data monetization services to specialized vendors is contributing to the m

Various types of personal data, along with the location and online behavior of internet users, are tracked daily by real-time bidding providers. BidSwitch, PubMatic, and Magnite were the largest broadcasters of U.S. consumer data in 2021, accounting for ** percent, ** percent, and ** percent of all transfers, respectively. The source additionally states that the system transferred data of U.S. consumers *** billion times a day that year.

Consumer Decision Software Market Outlook

The global consumer decision software market size is projected to grow from USD 3.5 billion in 2023 to USD 7.1 billion by 2032, at a CAGR of 8.2%. This growth is primarily driven by the increasing need for businesses to adopt advanced decision-making tools to enhance customer experience and streamline operations. The rising penetration of digital technologies and the surging demand for personalized consumer experiences are notable growth factors in this market.

One of the primary growth factors for the consumer decision software market is the burgeoning need for data-driven decision-making in various industries. Companies today are increasingly relying on big data analytics and artificial intelligence to make informed decisions that can significantly impact their bottom line. This technological reliance is pushing organizations to adopt robust consumer decision software that can provide real-time insights and predictive analytics, thereby driving market growth.

Another factor fueling the market's expansion is the growing emphasis on customer experience management. Businesses are recognizing the importance of understanding consumer behavior to offer personalized services. Consumer decision software helps in analyzing customer data to identify patterns and preferences, enabling companies to tailor their offerings accordingly. This shift towards a customer-centric approach is expected to propel the demand for consumer decision software across various sectors, including retail, healthcare, and BFSI.

The increasing adoption of cloud-based solutions is also contributing significantly to market growth. Cloud deployment offers numerous advantages, such as scalability, flexibility, and cost-effectiveness, making it an attractive option for businesses of all sizes. The ease of integration with existing systems and the ability to access data from anywhere further boost the adoption of cloud-based consumer decision software. As more organizations migrate to the cloud, the market for consumer decision software is anticipated to witness substantial growth.

Regionally, North America holds a dominant position in the consumer decision software market, attributed to the presence of leading technology companies and early adoption of advanced solutions. However, the Asia Pacific region is expected to register the highest growth rate during the forecast period, driven by the rapid digital transformation, increasing internet penetration, and growing focus on improving customer experience in countries like China and India.

Component Analysis

The consumer decision software market is segmented by components into software and services. Software constitutes the core of the market, providing the essential tools and platforms for decision-making processes. These software solutions encompass various functionalities, including data analytics, artificial intelligence, machine learning, and predictive analytics, which are integral for deriving actionable insights from consumer data. The continuous advancements in these technologies are enhancing the capabilities of consumer decision software, making it more intuitive and user-friendly, thereby driving its adoption across industries.

On the other hand, services play a crucial role in supporting the implementation and ongoing utilization of consumer decision software. These services typically include consulting, integration, support, and maintenance. Consulting services help organizations in selecting the appropriate software solutions that align with their business needs and objectives. Integration services ensure seamless connectivity between the consumer decision software and other enterprise systems, facilitating smooth data flow and operational efficiency.

Support and maintenance services are vital for ensuring the optimal performance of consumer decision software. They involve regular updates, troubleshooting, and addressing any technical issues that may arise. As businesses increasingly rely on consumer decision software for critical decision-making processes, the demand for robust support and maintenance services is expected to grow, thereby contributing to the overall market expansion.

Furthermore, the trend of outsourcing these services to specialized third-party providers is gaining momentum. Many organizations prefer outsourcing to leverage the expertise and experience of service providers, while also focusing on their core business activities. This trend is particularly prevalent among Small and Medium Ente

The growth of the Customer Intelligence Platform Market, fueled by the increasing demand for data-driven customer insights and personalized experiences, saw it surpass USD 2.25 Billion in 2023. Projections indicate a remarkable rise to USD 11.53 Billion by 2031, with a robust CAGR of 25% from 2024 to 2031. This surge is propelled by several key factors driving the adoption of customer intelligence platforms across various industries.

The proliferation of digital channels and the exponential growth of customer data have created an urgent need for businesses to harness this information effectively. Customer intelligence platforms offer sophisticated analytical capabilities, enabling organizations to gain a comprehensive understanding of customer behaviors, preferences, and journeys. By leveraging these insights, companies can deliver highly personalized experiences, enhance customer engagement, and drive customer loyalty, thereby increasing revenue and market share.

Customer Intelligence Platform Market: Definition/Overview

A Customer Intelligence Platform is a comprehensive software solution that empowers businesses to gather, analyze, and leverage customer data from multiple sources to gain a deep understanding of their customers' behaviors, preferences, and journeys. It serves as a centralized repository for customer information, enabling organizations to consolidate data from various touchpoints, such as website interactions, social media engagements, purchase histories, and customer support interactions.

At its core, a Customer Intelligence Platform utilizes advanced analytics, machine learning algorithms, and data visualization tools to transform raw customer data into actionable insights. These insights provide businesses with a holistic view of their customers, allowing them to anticipate needs, identify pain points, and tailor products, services, and marketing efforts accordingly.

Customer Intelligence Platforms are vast, as they continue to evolve with the integration of emerging technologies such as natural language processing, conversational AI, and advanced machine learning models. These platforms will play a crucial role in enabling businesses to stay ahead of the curve, anticipate customer needs, and deliver exceptional customer experiences in an increasingly competitive and customer-centric market.