Envestnet®| Yodlee®'s Consumer Behavior Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

Explore the Customer Analytics Market trends! Covers key players, growth rate 19.9% CAGR, market size $28.82 Billion, and forecasts to 2034. Get insights now!

Customer Analytics Software Market is Segmented by Deployment Type (On-Premise and Cloud-Based), Solution (Social Media Analytical Tools, Web Analytical Tools, Dashboard and Reporting Tools, Voice of Customer, ETL, and Analytical Modules/Tools), Organization Size (Small and Medium Enterprises and Large Enterprises), Service (Managed Service and Professional Service), End-User Industry (Telecommunications and IT, Travel and Hospitality, and Retail), and Geography (North America, Europe, Asia-Pacific, Latin America, Middle East and Africa). The Report Offers Market Forecasts and Size in Value (USD) for all the Above Segments.

Customer Analytics Market size was valued at USD 10.46 Billion in 2024 and is projected to reach USD 38.08 Billion by 2031, growing at a CAGR of 19.34 % from 2024 to 2031.

Global Customer Analytics Market Drivers

Need for Personalized Customer Experience: The increasing demand for tailored experiences has made customer analytics crucial for understanding customer preferences and behaviors.
Data Proliferation: The exponential growth of data from various sources offers rich insights into customer behavior and preferences.
Advancements in Technology: AI, machine learning, and big data analytics have transformed the way businesses analyze customer data, leading to more accurate predictions and insights.

Global Customer Analytics Market Restraints

Data Privacy Concerns: Stricter data privacy regulations can limit data accessibility and increase compliance costs.
Data Quality and Integrity: Ensuring data accuracy and consistency is crucial for reliable insights, but challenges persist in data management.
Skill Gap: A shortage of skilled professionals with expertise in data analytics and interpretation can hinder market growth.

CRM Analytics Market size was valued at USD 8.94 Billion in 2024 and is projected to reach USD 20.95 Billion by 2031, growing at a CAGR of 11.23 % during the forecast period 2024-2031.

Global CRM Analytics Market Drivers

1. Decision Making Based on Data
Data is becoming a more important factor for businesses to consider when making strategic decisions. Organisations can use CRM analytics to examine enormous volumes of customer data and find trends, patterns, and insights that can guide corporate strategy. Businesses can improve business outcomes by using this data-driven strategy to help them make well-informed decisions regarding customer service, sales, and marketing. The market for CRM analytics is mostly driven by companies’ transition to a data-centric culture.

2. Machine learning and AI advancements
The way companies handle customer connections is being completely transformed by the incorporation of AI and ML technology into CRM systems. Deeper insights into consumer behaviour and preferences can be obtained by using AI and ML algorithms to process massive datasets more correctly and effectively than with conventional techniques. Predictive analytics, which helps companies foresee customer demands and trends, is made possible by these technologies. This enables proactive rather than reactive customer relationship management. Thus, the market for CRM analytics is being driven ahead by the ongoing developments in AI and ML.

3. Spread of Personal Information
An abundance of consumer data produced by social media, internet, mobile apps, and Internet of Things devices has resulted from the digital transformation of many businesses. Businesses face both opportunities and challenges as a result of this massive amount of data. In order to compile and analyse this data and derive actionable insights, CRM analytics tools are crucial. The need for advanced CRM analytics systems that can manage large, complex data sets and deliver useful insights is being driven by the growth in both the volume and variety of customer data.

4. Demanding Tailored Customer Experiences
Contemporary customers demand individualised services that are catered to their own tastes and habits. Businesses can segment their customer base and comprehend the particular requirements of various customer groups with the help of CRM analytics. Businesses can use these insights to provide individualised product recommendations, focused marketing efforts, and unique customer support encounters. As companies work to increase customer pleasure and loyalty, the increased expectation for personalisation is a major factor driving the adoption of CRM analytics.

5. Pay attention to client retention and loyalty
Getting new clients is frequently more expensive than keeping the ones you already have. Consequently, enterprises are directing their attention towards enhancing customer retention and cultivating enduring loyalty. CRM analytics offers insightful information about potential churn risks, customer engagement, and satisfaction. Businesses can lower customer churn and maintain customer engagement by implementing successful retention measures, such loyalty programmes and personalised messaging, by recognising these aspects. CRM analytics solutions are in high demand because of the emphasis placed on customer loyalty and retention.

Gain customer insights for a major home furnishings retailer, with analysis on consumer preferences and purchasing trends. Read More

Most wineries in the United States did not employ anyone for analyzing consumer data in 2019. Of all wineries, only 18 percent employed someone full-time to analyze consumer data.

Analyze consumer insights for the tobacco industry, focusing on behavior patterns, regulatory impacts, and evolving preferences. Read More

The global customer analytics in e-commerce market was valued at US$ 11 billion in 2022, growing at a CAGR of 15%. The market is expected to grow at US$ 12 billion in 2023 and reach a value of US$ 48.6 billion in 2033.

Insight As A Service Market Size And Forecast

Insight As A Service Market size was valued at USD 4.10 Billion in 2023 and is projected to reach USD 21.60 Billion By 2030, growing at a CAGR of 31% during the forecast period 2024 to 2030.

Global Insight As A Service Market Drivers

The market drivers for the Insight As A Service Market can be influenced by various factors. These may include:

Data Explosion: The amount of data generated is growing exponentially as a result of the widespread use of digital technologies. To obtain a competitive advantage, organizations are looking for methods to glean insights that are significant from this data.
Cost-effectiveness: By utilizing IaaS, businesses may obtain sophisticated analytics and insights without making significant infrastructure investments or recruiting expert staff. Businesses seeking to streamline their processes may find this economical strategy appealing.
Scalability: IaaS provides scalable solutions that are able to change to meet the ever-changing needs of enterprises. The flexibility to scale resources up or down as needed is offered by IaaS platforms, which can handle small datasets or large data analytics.
Real-time Solutions: Real-time insights are essential for making well-informed decisions in the fast-paced corporate world of today. With the help of IaaS solutions, businesses may get real-time information and react quickly to trends and changes in the market.
Predictive Analytics: IaaS-powered predictive analytics assists companies in predicting future market dynamics, consumer behavior, and trends. Organizations can proactively reduce risks and anticipate opportunities by utilizing predictive insights.
Customized Consumer Experiences: IaaS makes it easier for organizations to analyze enormous volumes of consumer data, which leads to the creation of customized experiences. Organizations can cultivate client loyalty and happiness by customizing their products and services to match individual demands by comprehending customer preferences and behavior.
AI and ML: The popularity of Infrastructure as a Service (IaaS) is being propelled by developments in AI and ML technologies. These technologies improve an organization’s ability to analyze data, allowing them to find intricate patterns and useful information from a variety of datasets.
Regulatory Compliance: Organizations are investing in IaaS solutions that guarantee compliance with industry norms and regulations as a result of growing regulatory obligations and data privacy concerns. To protect sensitive data, these technologies provide strong security features and data governance structures.
Industry-specific Solutions: IaaS providers are creating solutions specifically suited to the demands of different industries, including manufacturing, healthcare, finance, and retail. These niche products handle certain issues and provide focused insights to promote company expansion.

United States customer journey analytics market size reached US$ 3.41 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 10.66 Billion by 2032, exhibiting a growth rate (CAGR) of 12.60% during 2024-2032. The rising focus among numerous organizations on using real-time insights and ethical data practices to stay relevant in an increasingly competitive business landscape is primarily driving the market growth across the country.

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the country level for ​2024-2032​. Our report has categorized the market based on component, touchpoint, deployment mode, organization size, application, and industry vertical.

The size of the Customer Analytics Market was valued at USD 20.85 Billion in 2024 and is projected to reach USD 57.07 Billion by 2033, with an expected CAGR of 15.47% during the forecast period. The customer analytics market is experiencing significant growth, driven by the increasing adoption of data-driven decision-making processes across industries. Businesses are leveraging advanced analytics tools to better understand consumer behavior, improve customer engagement, and enhance overall satisfaction. The integration of artificial intelligence (AI), machine learning, and big data analytics has revolutionized the way organizations collect, process, and analyze customer data, enabling them to deliver personalized experiences. Industries such as retail, banking, e-commerce, and telecommunications are leading the adoption, aiming to gain actionable insights into customer preferences and purchasing patterns. The growing demand for predictive analytics to forecast customer trends and optimize marketing strategies further fuels market expansion. Cloud-based solutions have gained traction, offering scalability and flexibility while reducing infrastructure costs. Additionally, the rising focus on customer retention and loyalty programs has encouraged companies to invest in sophisticated analytics platforms. However, challenges such as data privacy concerns and integration complexities persist. Despite these hurdles, the customer analytics market is poised for sustained growth as businesses continue to prioritize customer-centric strategies to gain a competitive edge in an increasingly digitalized economy. Recent developments include: , July 2021 Microsoft, a well-known provider of consumer spending insights that enables businesses to proactively manage customer spending by transforming data from various sources, has announced its acquisition of Suplari. Microsoft is an American multinational corporation that makes computer software, consumer electronics, personal computers, and many other products. Through this purchase, the firms hoped to support businesses in becoming insight-driven, enabling business executives to take strategic action., March 2022 Adobe Experience Cloud now includes a new Customer Journey Analytics function. To help companies better understand how even little changes may impact the total customer experience across all of their products, Adobe developed a new experimentation tool in Experience Analytics. This feature enables companies to test real-world scenarios, and analysis has also been combined to enhance Adobe’s capacity to identify customer categories., Customer Analytics Market Segmentation, Customer Analytics Solution Outlook. Key drivers for this market are: Increasing data availability: The increasing availability of data from various sources, such as social media, IoT devices, and CRM systems, is driving the growth of the customer analytics market.

Growing need for customer insights: Businesses are increasingly recognizing the importance of customer insights to drive decision-making and improve the customer experience.

Advancements in technology: Advancements in technology, such as AI and ML, are making customer analytics solutions more accurate and insightful.

Cloud computing: Cloud computing is making customer analytics solutions more accessible and affordable for businesses of all sizes.. Potential restraints include: Data quality: The quality of customer data is a major challenge for businesses. Inconsistent and inaccurate data can lead to misleading insights.

Data privacy: Privacy regulations, such as GDPR, are making it more difficult for businesses to collect and use customer data.

Cost: Customer analytics solutions can be expensive, especially for small businesses.

Lack of skilled professionals: There is a shortage of skilled professionals who can implement and use customer analytics solutions.. Notable trends are: Real-time analytics: Real-time analytics solutions allow businesses to analyze customer data in real-time. This enables businesses to respond to customer needs and preferences more quickly.

Predictive analytics: Predictive analytics solutions use AI and ML to predict customer behavior. This information can be used to personalize marketing campaigns, improve customer service, and reduce churn.

Augmented analytics: Augmented analytics solutions use AI and ML to automate data analysis and insights. This makes it easier for businesses to use customer analytics to improve decision-making.

Cross-channel analytics: Cross-channel analytics solutions track customer behavior across multiple channels, such as online, offline, and social media. This provides businesses with a complete view of the customer journey..

According to Cognitive Market Research, the global Customer Intelligence Platform Market will be USD 2021.1 million in 2024 and expand at a compound annual growth rate (CAGR) of 24.9 % from 2024 to 2031. Market Dynamics of Customer Intelligence Platform Market

Key Drivers for Customer Intelligence Platform Market



  Increased adoption of advanced analytics and artificial intelligence - The growing usage of sophisticated analytics and artificial intelligence (AI) is one of the primary drivers of the customer intelligence platform market. The term "advanced analytics" refers to the use of sophisticated methods and equipment to analyze large amounts of data and provide relevant insights. Artificial intelligence (AI) is the development of intelligent computers capable of doing activities that have historically needed human intelligence, such as natural language processing, machine learning, and predictive analytics. Customer intelligence systems collect and analyze data from a variety of sources, including social media, customer interactions, and transaction history, employing novel analytics and artificial intelligence technology. Using these technologies allows businesses to have a deeper understanding of their customers' preferences and behavior patterns. This allows firms to create customer-relevant, data-driven marketing strategies and decisions.


  Need to get a comprehensive view of consumer data.




Key Restraints for Customer Intelligence Platform Market



  Lack of Skilled Professionals Limits Market Growth


  Lack of data quality and challenges in data integration hamper the market growth

Introduction of Customer Intelligence Platform Market

The customer intelligence platform market encompasses platforms and software solutions that enable businesses to collect, analyze, and apply customer data to acquire valuable lessons, improve customer contact, and achieve corporate objectives. Businesses now collect, analyze, and use customer data to gain insights and improve customer contact thanks to the software solutions and platforms provided by the customer intelligence platform sector. These platforms are critical in helping businesses better understand their customers and provide bespoke experiences, resulting in growth and profitability. The customer intelligence platform market also serves organizations in a variety of industries, such as retail, e-commerce, financial services, telecommunications, healthcare, travel, and hospitality. The industry has grown significantly in recent years as a result of the increased importance of data-driven decision-making, the development of digital platforms, and the emphasis on customer-centric initiatives.

Success.ai’s Consumer Marketing Data API empowers your marketing, analytics, and product teams with on-demand access to a vast and continuously updated dataset of consumer insights. Covering detailed demographics, behavioral patterns, and purchasing histories, this API enables you to go beyond generic outreach and craft tailored campaigns that truly resonate with your target audiences.

With AI-validated accuracy and support for precise filtering, the Consumer Marketing Data API ensures you’re always equipped with the most relevant data. Backed by our Best Price Guarantee, this solution is essential for refining your strategies, improving conversion rates, and driving sustainable growth in today’s competitive consumer landscape.

Why Choose Success.ai’s Consumer Marketing Data API?

1. Tailored Consumer Insights for Precision Targeting

   • Access verified demographic, behavioral, and purchasing data to understand what consumers truly value.
   • AI-driven validation ensures 99% accuracy, minimizing wasted spend and improving engagement outcomes.

2. Comprehensive Global Reach

   • Includes consumer profiles from diverse regions and markets, enabling you to scale campaigns and discover emerging opportunities.
   • Adapt swiftly to new markets, product launches, and shifting consumer preferences with real-time data at your fingertips.

3. Continuously Updated and Real-Time Data

   • Receive ongoing updates that reflect evolving consumer behaviors, interests, and market trends.
   • Respond quickly to seasonal changes, competitor moves, and industry disruptions, ensuring your campaigns remain timely and relevant.

4. Ethical and Compliant

   • Fully adheres to GDPR, CCPA, and other global data privacy regulations, guaranteeing responsible and lawful data usage.

Data Highlights:

• Detailed Demographics: Age, gender, location, and income levels to refine targeting and messaging.
• Behavioral Insights: Interests, browsing patterns, and content consumption habits to anticipate consumer needs.
• Purchasing History: Understand consumer spending, brand loyalty, and product preferences to tailor promotions effectively.
• Real-Time Updates: Keep pace with evolving consumer tastes, ensuring your strategies remain forward-focused and competitive.

Key Features of the Consumer Marketing Data API:

1. Granular Targeting and Segmentation

   • Query the API to segment consumers by demographics, interests, past purchases, or engagement patterns.
   • Focus campaigns on the most receptive audiences, enhancing conversion rates and ROI.

2. Flexible and Seamless Integration

   • Easily integrate the API into CRM systems, marketing automation tools, or analytics platforms.
   • Streamline workflows and eliminate manual data imports, freeing resources for strategic initiatives.

3. Continuous Data Enrichment

   • Refresh consumer profiles with the latest data, ensuring every decision is backed by current insights.
   • Reduce data decay and maintain top-notch data hygiene to maximize long-term marketing effectiveness.

4. AI-Driven Validation

   • Rely on advanced AI validation techniques to guarantee high-quality data accuracy and reliability.
   • Increase confidence in your campaigns and decrease budget wasted on irrelevant targets.

Strategic Use Cases:

1. Highly Personalized Marketing Campaigns

   • Deliver tailored offers, recommendations, and content that align with individual consumer preferences.
   • Boost engagement and loyalty by making every touchpoint relevant and meaningful.

2. Market Expansion and Product Launches

   • Identify segments most receptive to new products or services, ensuring successful market entry.
   • Stay ahead of consumer demands, evolving your product line and marketing mix to meet changing preferences.

3. Competitive Analysis and Trend Forecasting

   • Leverage consumer insights to anticipate emerging trends and outpace competitors in capturing new markets.
   • Adjust marketing strategies proactively to capitalize on seasonal, cultural, or economic shifts.

4. Customer Retention and Loyalty Programs

   • Use historical purchase and engagement data to identify at-risk customers and implement retention strategies.
   • Cultivate brand advocates by delivering personalized offers and exclusive perks to loyal consumers.

Why Choose Success.ai?

1. Best Price Guarantee

   • Access premium-quality consumer marketing data at unmatched prices, ensuring maximum ROI for your outreach efforts.

2. Seamless Integration

   • Easily incorporate the API into existing workflows, eliminating data silos and manual data management.

3. Data Accuracy with AI Validation

   • Depend on 99% accuracy to guide data-driven decisions, refine targeting, and elevate your marketing initiatives.

4. Customizable and Scalable Solutions

   • Tailor datasets to focus on specific demog...

According to Cognitive Market Research, the global Data Broker Services market size is USD 268154.2 million in 2024 and will expand at a compound annual growth rate (CAGR) of 8.00% from 2024 to 2031.

North America held the major market of more than 40% of the global revenue with a market size of USD 107261.68 million in 2024 and will grow at a compound annual growth rate (CAGR) of 6.2% from 2024 to 2031.
Europe accounted for a share of over 30% of the global market size of USD 80446.26 million.
Asia Pacific held the market of around 23% of the global revenue with a market size of USD 61675.47 million in 2024 and will grow at a compound annual growth rate (CAGR) of 10.0% from 2024 to 2031.
Latin America market of more than 5% of the global revenue with a market size of USD 13407.71 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.4% from 2024 to 2031.
Middle East and Africa held the major market ofaround 2% of the global revenue with a market size of USD 5363.08 million in 2024 and will grow at a compound annual growth rate (CAGR) of 7.7% from 2024 to 2031.
The Subscription Paid held the highest Data Broker Services market revenue share in 2024.

Market Dynamics of Data Broker Services Market

Key Drivers of Data Broker Services Market

Increasing Demand for Personalized Marketing Solutions to Increase the Demand Globally

The Data Broker Services Market is being driven by the increasing demand for personalized marketing solutions. Companies across various industries are leveraging data broker services to access valuable consumer insights and enhance their marketing strategies. Data brokers offer a wide range of data sets, including demographic, behavioral, and transactional data, which can be used to create targeted marketing campaigns. By utilizing data broker services, companies can tailor their marketing messages to specific consumer segments, leading to higher engagement and conversion rates. This trend is expected to continue driving the growth of the Data Broker Services Market as businesses increasingly prioritize personalized marketing approaches to remain competitive in the digital age.

Growing Focus on Data Monetization to Propel Market Growth

Another key driver of the Data Broker Services Market is the growing focus on data monetization. Organizations are realizing the value of their data assets and are looking for ways to monetize them. Data broker services enable companies to sell their data to third parties, such as marketers, researchers, and other businesses, generating additional revenue streams. This trend is particularly prevalent in industries with large amounts of consumer data, such as retail, finance, and healthcare. By monetizing their data, companies can unlock new revenue opportunities and offset the costs associated with data collection and management. As the demand for data-driven insights continues to grow, the Data Broker Services Market is expected to expand, driven by the increasing number of organizations looking to capitalize on their data assets.

Restraint Factors Of Data Broker Services Market

Regulatory Challenges and Data Privacy Concerns to Limit the Sales

One of the key restraints in the Data Broker Services Market is the increasing regulatory challenges and data privacy concerns. With the implementation of regulations such as the GDPR in Europe and the CCPA in California, data brokers are facing stricter requirements for data collection, processing, and sharing. Compliance with these regulations requires significant resources and can limit the ability of data brokers to collect and monetize data. Additionally, concerns about data privacy and security among consumers are leading to greater scrutiny of data broker practices, further complicating the operating environment for these companies. As regulatory pressures continue to increase, data brokers may face challenges in expanding their operations and maintaining profitability.

Impact of Covid-19 on the Data Broker Services Market

The COVID-19 pandemic has had a mixed impact on the Data Broker Services Market. On one hand, the increased reliance on digital technologies and online services during the pandemic has led to a surge in data generation, creating new opportunities for data brokers. Organizations are increasingly seeking to understand changing consumer behaviors and preferences in the digital space, ...

Access global Consumer Sentiment Data with Success.ai. Includes psychographic profiles, interest data, and sentiment trends for targeted marketing campaigns. Continuously updated for accuracy and relevance. Best price guaranteed.

Gaining expertise on consumers, key players, and markets is crucial for success in eCommerce. By exploring concepts in detail through data-backed articles and charts, businesses can gain a better understanding of the eCommerce landscape. Topics covered in our Insights range from payments and shipping to consumer insights and trends. With perspectives and forecasts on online stores, marketplaces, and companies in different countries and regions of the world, businesses can stay informed about the current state of eCommerce and make informed decisions to remain competitive in the marketplace.

This report is part of the GlobalData COVID-19 Consumer Insight series, which tracks changes in consumer sentiment, lifestyles, attitudes, and behaviors stemming from the global coronavirus outbreak. The consumer insight offered throughout the report is drawn from GlobalData's Coronavirus (COVID-19) Tracker Consumer Survey, a weekly survey that was carried out in 11 countries starting from March 25 2020. Read More

Customer experience analytics platforms typically offer a range of features, including data collection, analysis, reporting, and visualization. Key features include:Data Collection: Collects data from various touchpoints, including websites, mobile apps, social media, and call centers.Data Analysis: Analyzes data using statistical techniques, AI, and ML algorithms to identify patterns and trends.Reporting and Visualization: Presents analyzed data in interactive reports and dashboards, providing insights and recommendations.Customer Segmentation: Segments customers based on demographics, behavior, and preferences.Real-Time Monitoring: Monitors customer interactions in real-time, enabling businesses to identify and resolve issues proactively. Recent developments include: March 2022: Adobe announced a new Customer Journey Analytics feature under Adobe's Experience Cloud. Adobe introduced a new experimentation feature in Journey Analytics that allows businesses to test real-world scenarios and analyze their results to better understand how even minor changes can affect the overall customer journey across their various products. For Adobe's ability to discover customer segments, the Adobe Customer Data Platform [CDP] and Customer Journey Analytics have also been integrated..

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.