Yelp reported $2.13B in Market Capitalization this August of 2025, considering the latest stock price and the number of outstanding shares.Data for Yelp | YELP - Market Capitalization including historical, tables and charts were last updated by Trading Economics this last August in 2025.

Introduction

Yelp Statistics: Yelp Inc. is an American company that runs the Yelp.com website and mobile app, where people can post and read reviews about local businesses. The company also offers Yelp Guest Manager, which helps in booking tables at restaurants. Yelp’s headquarters are located at 350 Mission Street, San Francisco, California, U.S. and were founded in October 2004 by Russel Simmons and Jeremy Stoppelman. Yelp has grown into one of the most trusted platforms for user-written business reviews and ratings.

This article explores the latest statistical analysis of Yelp, including usage trends, financial performance, star ratings, market share, and more, which will guide you in understanding how the platform continues to shape consumer choices and business visibility in recent years.

The local search engine market, encompassing platforms like Google, Yelp, and others, is a dynamic and rapidly evolving sector. While precise figures for market size and CAGR are unavailable, we can infer significant growth based on the consistently increasing reliance on digital platforms for local business discovery. The market's value is likely in the billions, driven by the expanding use of smartphones, increased e-commerce activity, and a growing need for businesses to connect with hyperlocal customers. Key drivers include the rising adoption of location-based services, improved mobile search capabilities, and the ongoing evolution of search engine algorithms to provide increasingly relevant and personalized results. Trends like voice search optimization, augmented reality (AR) integration in local search, and the continued importance of local SEO are shaping the market landscape. However, restraints exist, primarily in the form of competition among numerous established players and the ongoing challenge of maintaining data accuracy and managing user reviews effectively. Segmentation within the market includes various platform types (e.g., general search engines, dedicated review sites, hyperlocal directories), business sizes (SMBs vs. large enterprises), and service categories (restaurants, healthcare, home services). The competitive landscape is highly concentrated, with established giants like Google, Yelp, and Facebook holding significant market share. Smaller, niche players continue to compete by offering specialized features or focusing on specific geographic areas or industries. Future growth will depend on technological innovation, the ability to adapt to evolving user behavior, and the successful integration of new data sources and technologies such as AI and machine learning for better search and recommendation capabilities. While challenges remain in addressing issues like data biases and ensuring the accuracy of business information, the overall outlook for the local search engine market remains positive, driven by sustained digital adoption and a growing need for efficient, hyperlocal business discovery.

In 2021, Google's share of online reviews increased to 71 percent, up from 67 percent in 2020, indicating a rise in willingness from consumers to share their experiences and opinions online. Overall, Google is the platform and search engine on which most consumers leave reviews for local businesses.

Yelp stock price, live market quote, shares value, historical data, intraday chart, earnings per share and news.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

YELP Yelp Inc. Common Stock

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

The local search engine market is experiencing robust growth, driven by the increasing reliance on mobile devices, the rise of location-based services, and the expanding adoption of digital marketing strategies by businesses. The market, encompassing diverse platforms like business directories (Yelp, Google My Business), review sites (TripAdvisor, Angie's List), mapping services (Google Maps, Apple Maps), and social discovery platforms (Facebook, Nextdoor), is projected to maintain a significant Compound Annual Growth Rate (CAGR) over the forecast period (2025-2033). While precise market sizing data is unavailable, reasonable estimations based on publicly available information regarding individual companies within the space and overall digital advertising trends suggest a 2025 market value in the tens of billions of dollars, potentially reaching hundreds of billions by 2033. Key growth drivers include the increasing sophistication of search algorithms, the integration of artificial intelligence (AI) and machine learning (ML) to personalize search results, and the growing demand for hyperlocal information. However, challenges remain, including the evolving privacy regulations, the increasing competition among existing players, and the need to maintain data accuracy and combat fake reviews. Segmentation by user type (individual vs. business) and platform type allows for nuanced analysis of market dynamics, offering opportunities for targeted marketing strategies. Geographic variations in market penetration and growth are also expected. North America currently holds a significant market share due to high internet penetration and technological advancement. However, rapid growth in regions like Asia Pacific and other emerging markets is anticipated, fueled by increasing smartphone adoption and expanding internet infrastructure. The competitive landscape is highly fragmented, with established tech giants like Google and Facebook competing alongside specialized local search providers. Sustained growth will likely depend on continuous innovation in search technology, strategic partnerships, and effective strategies to address evolving consumer needs and preferences in the ever-changing digital landscape.

Consumer Ratings & Reviews Software Market Outlook

The global consumer ratings & reviews software market size was valued at USD 4.7 billion in 2023 and is expected to reach USD 9.8 billion by 2032, growing at a CAGR of 8.3% from 2024 to 2032. The growth of the market can be attributed to the increasing importance of online reviews in influencing consumer purchasing decisions and the rising adoption of digital platforms across various industries. The expanding e-commerce sector and the growing reliance on user-generated content for brand credibility are also significant factors driving market growth.

One of the primary growth factors for the consumer ratings & reviews software market is the surging e-commerce sector. With a significant rise in online shopping, consumers are increasingly relying on reviews and ratings to make informed purchasing decisions. This has led to a growing demand for robust review management systems that can help businesses manage and analyze customer feedback effectively. Furthermore, the increasing penetration of smartphones and internet connectivity has made it easier for consumers to leave reviews and access ratings, thereby boosting the need for advanced software solutions in this market.

Another key growth factor is the heightened focus on customer experience by businesses across various sectors. Companies are increasingly recognizing the value of consumer feedback in improving their products and services. By leveraging ratings and reviews software, businesses can gain valuable insights into customer preferences and pain points, enabling them to make data-driven decisions. This focus on enhancing customer satisfaction is expected to drive the adoption of consumer ratings & reviews software in the coming years.

The rise of social media platforms has also contributed significantly to the growth of the consumer ratings & reviews software market. Social media has become a powerful tool for consumers to share their experiences and opinions about products and services. Businesses are increasingly utilizing ratings and reviews software to monitor and manage their online reputation on these platforms. The software helps in aggregating reviews from various sources, analyzing sentiment, and responding to customer feedback in real-time, thereby enhancing brand image and customer loyalty.

In the realm of digital commerce, the Content-Based Recommendation System has emerged as a pivotal tool for enhancing consumer engagement and satisfaction. By analyzing user preferences and behaviors, these systems offer personalized product recommendations, thereby enriching the shopping experience. This technology not only aids consumers in discovering products that align with their interests but also assists businesses in increasing conversion rates and customer retention. As e-commerce platforms continue to expand, the integration of content-based recommendation systems becomes increasingly vital, offering a competitive edge in the crowded digital marketplace.

Regionally, North America holds the largest share in the consumer ratings & reviews software market, owing to the high adoption of digital technologies and the presence of major market players in the region. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, driven by the increasing penetration of e-commerce and the growing emphasis on customer feedback in emerging economies like China and India. Europe also represents a significant market, with businesses across the region increasingly focusing on customer experience and digital transformation.

Deployment Mode Analysis

The consumer ratings & reviews software market is segmented by deployment mode into on-premises and cloud. The on-premises segment involves software solutions that are installed and run on the physical servers of the organization. This mode of deployment offers enhanced control and security, making it ideal for businesses with stringent data privacy requirements. However, the on-premises segment is witnessing a gradual decline as more businesses are moving towards cloud-based solutions that offer greater flexibility and scalability.

The cloud deployment mode is expected to witness significant growth during the forecast period. Cloud-based ratings and reviews software solutions offer several advantages, including lower upfront costs, ease of access, and the ability to scale resource

The local search engine market is experiencing robust growth, driven by the increasing reliance on mobile devices, the proliferation of location-based services, and the expanding adoption of digital marketing strategies by businesses. The market's substantial size, estimated at $50 billion in 2025, reflects the crucial role local search plays in connecting consumers with nearby businesses. A compound annual growth rate (CAGR) of 15% is projected from 2025 to 2033, indicating a significant expansion opportunity. Key growth drivers include the rising penetration of smartphones and the increasing use of location-based apps like navigation systems and food delivery services. Moreover, businesses are increasingly leveraging local SEO strategies to enhance their online visibility and attract local customers. The segmentation reveals the diverse applications, including business directories, review platforms, and social discovery platforms, which cater to both individual and business users. Leading players like Google, Yelp, and Facebook dominate the landscape, continuously innovating their services to stay ahead of the curve. However, challenges remain, such as maintaining data accuracy and addressing privacy concerns. The competitive landscape is dynamic, with established giants competing against emerging startups. Ongoing innovation in areas like AI-powered search, improved map integration, and personalized recommendations are shaping the future of local search. While North America currently holds a significant market share, growth in Asia-Pacific and other emerging markets is expected to fuel the overall market expansion in the coming years. Further growth opportunities lie in improving the user experience through enhanced search results, personalized recommendations, and seamless integration across various platforms. The potential for further market penetration, particularly in underserved regions, signifies a significant opportunity for existing and new entrants. However, regulatory changes relating to data privacy and competition will continue to impact the trajectory of this rapidly evolving market.

Check out Market Research Intellect's Consumer Ratings And Reviews Software Market Report, valued at USD 2.5 billion in 2024, with a projected growth to USD 6.8 billion by 2033 at a CAGR of 12.2% (2026-2033).

The statistic shows the order market share of online restaurant delivery services in the United States as of *********, by company. The food delivery brand Eat24, a subsidiary of Yelp, held a *** percent share of the online delivery market in the United States as of *********.

Company Reviews Ratings Market Outlook

The global market size for company reviews and ratings was valued at approximately $2.8 billion in 2023, and it is projected to grow to $5.6 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 8.1%. This growth is primarily driven by the increasing reliance on digital platforms for consumer decisions and the rising importance of online reputation management for businesses.

One of the major growth factors for the company reviews and ratings market is the surge in internet penetration and the proliferation of smartphones globally. As more consumers access the internet, the volume of online reviews and ratings is expected to increase, thereby driving market growth. Consumers today heavily rely on peer reviews and ratings before making purchasing decisions. This trend is particularly strong among millennials and Gen Z, who prefer to trust user-generated content over traditional advertising. Consequently, businesses are increasingly recognizing the need to manage their online reputation proactively.

Another significant factor contributing to the market's expansion is the growing importance of social media platforms in influencing customer perceptions. Social media has become a crucial channel for customers to voice their opinions and experiences. Positive reviews and ratings on these platforms can significantly enhance a company's brand image, while negative feedback can have the opposite effect. Therefore, businesses are investing heavily in monitoring and managing their social media presence, which in turn is propelling the demand for review and rating platforms.

The integration of advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) into review platforms is also playing a pivotal role in market growth. These technologies enable more sophisticated analysis of customer feedback, allowing businesses to gain deeper insights into consumer sentiment and behavior. For instance, sentiment analysis tools can process large volumes of reviews to identify patterns and trends, providing valuable data that can inform business strategies. The adoption of AI and ML is expected to continue to rise, further boosting the market.

The Peer Review System is becoming increasingly vital in the realm of online reviews and ratings. This system allows for a more structured and reliable method of gathering feedback, as it involves a process where reviews are evaluated by other users before being published. This not only enhances the credibility of the reviews but also ensures that the feedback provided is constructive and useful for both consumers and businesses. By implementing a Peer Review System, platforms can significantly reduce the incidence of fake or biased reviews, thereby maintaining the integrity and trustworthiness of their service. As more businesses recognize the value of authentic feedback, the adoption of peer review mechanisms is expected to rise, contributing to the overall growth of the review and ratings market.

Regionally, North America currently holds the largest market share, owing to the high adoption rate of digital technologies and the presence of numerous review platforms. However, the Asia Pacific region is expected to witness the highest growth rate during the forecast period. This can be attributed to the rapid digital transformation in countries like China and India, coupled with the increasing number of internet users in these regions. As a result, there is a growing demand for online review and rating platforms, which is likely to drive market growth in Asia Pacific.

Platform Type Analysis

The company reviews and ratings market is segmented into web-based and mobile-based platforms. Web-based platforms currently dominate the market, primarily because they offer a more comprehensive and detailed interface for both reviewers and businesses. These platforms often provide various tools for businesses to manage their reviews, respond to customer feedback, and analyze data. The robust functionality and flexibility of web-based platforms make them the preferred choice for many businesses, particularly larger enterprises that require detailed analytics and reporting capabilities.

However, mobile-based platforms are gaining significant traction, driven by the increasing use of smartphones and the convenience they offer to users. Mobile-based review platforms allow consumers to leave reviews and ratings on-the-go, mak

Global Feedback And Reviews Management Software market size is expected to reach $31.5 billion by 2029 at 17%, segmented as by customer, product review management software, customer satisfaction (csat) survey tools, net promoter score (nps) tools

Product Reviews Software Market size was valued at USD 8.7 Billion in 2024 and is projected to reach USD 28.9 Billion by 2031, growing at a CAGR of 14.7 % during the forecasted period 2024 to 2031

Global Product Reviews Software Market Drivers

The market drivers for the Product Reviews Software Market can be influenced by various factors. These may include:

Growing Significance of Customer Feedback: As online shopping and e-commerce have grown in popularity, customers now heavily consider customer feedback when making selections about what to buy. Product reviews software helps companies gain credibility and confidence from prospective customers by efficiently gathering, organizing, and presenting consumer feedback.

Put Customer Experience (CX) first: Creating a satisfying consumer experience is a top concern for companies in all sectors. With the use of product reviews software, businesses can get client feedback in real time, pinpoint areas for development, and quickly resolve issues, all of which increase customer happiness and loyalty.

Impact on Purchase Behavior: Research indicates that most consumers base their decisions on what to buy on product reviews. Negative reviews might discourage potential consumers, while positive ratings can greatly impact purchasing behavior and increase sales. Businesses can employ user-generated content to boost conversion rates and spur revenue growth by utilizing product reviews software.

Benefits of SEO: Product reviews and other user-generated content are essential to search engine optimization (SEO). Product reviews software can raise a business's search engine rankings, increase organic traffic to its website, and improve online exposure by producing new and pertinent content. These actions will eventually increase sales and brand awareness.

Enhanced Product Insights: Software for product reviews offers insightful data on consumer preferences, problems, and product effectiveness. Businesses can enhance their product offerings and marketing strategies by identifying patterns, evaluating the strengths and weaknesses of their products, and making data-driven decisions by assessing review data and sentiment.

Social Proof and Trust Building: Positive product reviews act as social proof of a product's dependability, worth, and quality. This promotes trust in the brand. Businesses may differentiate themselves from rivals, gain the trust of prospective customers, and establish a solid reputation for their brands in the marketplace by displaying real client feedback.

Competitive Advantage: Companies can maintain their competitiveness in today's congested markets by putting product reviews software into place. Businesses can set themselves apart from competitors who might not have as strong of a review management strategy, foster brand loyalty, and differentiate their products by aggressively controlling and promoting user reviews.

Brand Engagement and Community Building: Software for product reviews encourages communication and engagement between companies and their clients. Companies may create a feeling of community around their products and brand, develop brand champions, and forge deep connections with their audience by replying to reviews, answering customer questions, and requesting feedback.

Continuous Improvement: Product reviews offer insightful information for new and improved products. Businesses may better satisfy consumer wants and expectations by identifying areas for improvement, iterating on product features, and continuously evolving their offers by listening to customer input.

yelp.com is ranked #76 in US with 132.83M Traffic. Categories: Online Services. Learn more about website traffic, market share, and more!

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Yelp (YELP) Stock Forecast: A Bite of Growth

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Google was the most popular website for online reviews of multifamily rental properties as of the fourth quarter of 2024, concentrating ** percent of all reviews. Usually, a property was reviewed on more than one website. Though Google had the most reviews, the properties reviewed on Modern Message had higher rating.

The local search engine market is experiencing robust growth, driven by the increasing reliance on mobile devices and the expanding adoption of location-based services. The market, estimated at $50 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033. This growth is fueled by several key factors. Firstly, the proliferation of smartphones equipped with GPS capabilities enables users to easily search for nearby businesses and services. Secondly, the rising popularity of online reviews and ratings significantly influences consumer decisions, boosting the importance of local search engines in driving customer traffic to businesses. Thirdly, advancements in artificial intelligence (AI) and machine learning (ML) are enhancing the accuracy and personalization of search results, providing users with a more relevant and efficient search experience. Furthermore, the increasing adoption of local search optimization (SEO) strategies by businesses underscores the crucial role of local search engines in achieving online visibility and driving sales. However, challenges remain. Competition among established players like Google, Yelp, and Facebook is intense. Furthermore, data privacy concerns and the evolving regulatory landscape around data usage could impact the growth trajectory. Segmentation analysis reveals a significant portion of the market is dominated by business users leveraging platforms for advertising and lead generation. Individual users also form a substantial segment, relying on these platforms for discovering local businesses and services. While business directories and review platforms currently hold significant market share, the increasing integration of mapping services and social discovery platforms points toward an evolving landscape where seamless integration across various platforms will become crucial for success. The Asia-Pacific region, particularly China and India, is expected to be a key growth driver owing to rising internet penetration and increasing smartphone usage.

The restaurant guide app market is experiencing robust growth, driven by the increasing penetration of smartphones, the rising popularity of online food ordering, and a growing preference for convenient and personalized dining experiences. The market, estimated at $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 15% from 2025 to 2033, reaching an estimated $45 billion by 2033. This expansion is fueled by several key trends: the integration of advanced features like AI-powered recommendations, augmented reality (AR) experiences showcasing menus and restaurant ambiance, and seamless online reservation systems. Furthermore, the proliferation of user reviews and ratings fosters trust and transparency, influencing consumer choices significantly. The diverse segments within the market, encompassing quick bites, business dining, and street food applications, cater to various consumer preferences. The dominance of Android and iOS platforms underscores the importance of app store optimization for market penetration. Competitive pressures from established players like Yelp, Zomato, and TripAdvisor, alongside emerging localized apps, drive innovation and enhance the overall user experience. Geographic expansion, particularly in rapidly developing economies in Asia and Africa, presents significant untapped potential for growth. Restraints include data security concerns, maintaining accurate and updated information, and ensuring consistent user engagement in a rapidly evolving digital landscape. The competitive landscape is fiercely contested, with both established international players and regional niche apps vying for market share. The success of individual apps hinges on their ability to offer unique value propositions, such as hyper-local recommendations, specialized culinary focus, or advanced booking features. The continued integration of loyalty programs, exclusive deals, and personalized marketing further strengthens customer engagement and retention. As the market matures, consolidation through mergers and acquisitions is likely, streamlining the number of active players and improving market efficiency. The increasing importance of data analytics for understanding consumer behavior and enhancing the accuracy of recommendations will further shape the market's trajectory in the coming years. Therefore, strategic partnerships with restaurants and food delivery services are vital for long-term success.

The restaurant guide app market is experiencing robust growth, driven by the increasing penetration of smartphones, rising demand for convenient dining options, and the growing popularity of online food delivery services. The market's expansion is fueled by several key trends, including the integration of advanced features such as AI-powered recommendations, augmented reality experiences for menu visualization, and seamless online ordering and reservation systems. Consumers are increasingly relying on these apps for discovering new restaurants, comparing menus and prices, reading reviews, and making reservations, all within a single platform. The market segmentation reveals a strong demand across various dining styles, from quick bites and street food to business dining, indicating broad appeal across demographic groups. While platform variations (Android and iOS) contribute to the market size, the majority of users utilize mobile devices for accessing these services. Leading players like Yelp, Zomato, and TripAdvisor are actively competing by enhancing user experience through improved search algorithms, personalized recommendations, and loyalty programs. However, challenges remain, including the need to maintain data accuracy, manage user reviews effectively, and compete with the continuous emergence of new entrants. The market is geographically diverse, with North America and Asia Pacific exhibiting significant growth potential. The forecast period (2025-2033) suggests continued growth, driven by technological advancements and changing consumer behavior. A strong CAGR (let's assume a conservative 15% based on similar tech markets) would indicate substantial market expansion. The competitive landscape remains dynamic, with established players consolidating their market share through strategic acquisitions and partnerships. Furthermore, the integration of social media features within restaurant guide apps is expected to amplify user engagement and drive further growth. The market will likely witness increased focus on personalized experiences, enhanced data security, and the adoption of innovative marketing strategies. Regions with high smartphone penetration and a growing middle class are likely to witness the most significant growth.