In the fourth quarter of 2024, *** million people used the Uber app at least once per month. This is a ** percent increase compared to the fourth quarter of 2023. Uber is one of the most popular ride-sharing apps in the world. Based in San Francisco, their global net revenue amounted to ***** billion U.S. dollars in 2023. Contributing to their revenue is the 9.4 billion rides that were delivered via the Uber app that year. In 2022, Uber generated ***** billion U.S. dollars in gross bookings worldwide. U.S. ride-sharing market The ride-sharing market has experienced a giant surge in recent years. The ride-sharing market allows for consumers in need of a ride to instantly call for one via their smartphone and GPS satellites. This is comparable to a taxi service but can in some cases be significantly cheaper. However, drivers for these apps do not usually hold the same licensing requirements as taxi drivers. Uber and Lyft are the two largest companies in this sector, although Uber continues to outperform Lyft. In 2023, Uber's reported global revenue was more than eight times that of Lyft, which recorded *** billion U.S. dollars in revenues.

As of December 2019, Uber had ** thousand registered drivers in the Dominican Republic, while over *** thousand passengers used the famous transportation app in the previous three months. In the last quarter of 2019, the number of Uber rides worldwide amounted to approximately *** billion trips.

As of October 2020, Uber had 2.9 million registered users in Chile. This is 45 percent more than the 2 million users recorded in January 2020. Likewise, the number of Uber drivers in the South American country has also increased.

Introduction

Uber Statistics: Uber, the greatest player in ride-hailing, was able to maintain its control of the mobility and food delivery industry in 2024. Uber operates in over 70 countries and more than 10,000 cities, providing services that comprise ride-sharing, food delivery (Uber Eats), freight, and even autonomous vehicle initiatives.

With the surge of new rivals from regional ride-hailing platforms and regulatory turbulence, Uber has, against all odds, held its own as the trailblazer of this gig economy. This article aims to illuminate Uber statistics with respect to the metrics that matter, like revenue, user growth, ride numbers, driver earnings, and so on.

In the fourth quarter of 2023, Uber's ridership worldwide totaled *** billion trips. This compares to *** billion trips in the first quarter of 2022, representing an increase of ** percent year-on-year. A brief overview of Uber Technologies Uber Technologies Corporation started as a ridesharing company to disrupt the traditional taxi services industry. Having observed the global lucrativeness of the sharing economy in the upcoming years, Uber expanded its business profile to reshape the entire transportation industry, from food delivery and logistics to transport of people. As a result of strategic market positioning, the company experienced strong growth. The net revenue of Uber increased over ** times in ten years, up from *** billion U.S. dollars in 2014 to **** billion U.S. dollars in 2023. Uber Technologies reported being profitable for the first time since 2018, posting a net profit of roughly *** billion U.S. dollars during the fiscal year of 2023. Competition in the sharing economy Uber has been operating in a highly competitive environment since it introduced its first differentiated cab services. One of the major competitors of Uber Technologies is the San Francisco-based Lyft. Although Lyft is a latecomer into the ride-sharing business, Lyft progressively worked on weaknesses exhibited by Uber to strengthen its position against Uber and other competitors. Besides, Lyft is one of the major innovators in the sharing economy along with Uber Technologies. In 2022, Lyft Corporation invested nearly *** million U.S. dollars into research and development globally, which has been scaled back in recent years. Lyft generated *** billion U.S. dollars in global revenue during 2023.

As of December 31st, 2024, Uber reported around ** million monthly subscribers to its premium membership service Uber One, which allows users to benefit from free delivery on Uber Eats, discounted service fees, and premium services across Uber's other operating segments like ride-hailing and freight. DoorDash, on the other hand, reported that its premium membership services, DashPass and Wolt+, had more than ** million subscribers at the end of 2024. Market dominance and global expansion DoorDash has emerged as the undisputed leader in the U.S. food delivery market, controlling*********** of the market share as of March 2024. The company's app was downloaded over ** million times in the U.S. in 2024, significantly outpacing Uber Eats' ** million downloads. DoorDash's success extends beyond its home market, as it ranked as the sixth most downloaded food delivery app worldwide in 2024, following its acquisition of European player Wolt. Competition and expansion As companies vie for market share, expansion strategies are becoming increasingly important. DoorDash, for instance, has shown significant year-over-year growth, generating approximately **** billion U.S. dollars in revenues in 2024. The company has also set its sights on the European market, acquiring Wolt in a deal worth over eight billion U.S. dollars. This move positions DoorDash to compete in Europe, which accounts for ** percent of online food delivery users globally. As the industry evolves, premium subscription services like Uber One and DashPass may play a crucial role in customer retention and market dominance.

By far the most common method to access the ride-sharing platform Uber in the United States is via smartphone; around 17.7 million U.S. adults had accessed Uber via smartphone as of April 2017 – significantly higher than the next most popular platform, desktop computers, with 6.8 million users.

The U.S. ride sharing market

Uber is the largest ride-sharing platform in the United States, accounting for just under 70 percent of the total market as of October 2018. However Lyft, the next-largest ride sharing platform in the U.S., has seen significant growth in ridership over the last five years, narrowing the gap between it and Uber.

The global ride sharing market

While Lyft may be gaining some ground on Uber in the U.S., globally the distance between Uber and Lyft is much larger. This is due both to the fact that Lyft currently only operate in North America, and the strong global growth that Uber has seen over the last few years. Uber’s global number of bookings per quarter more than doubled from the fourth quarter of 2016 to the fourth quarter of 2018, leading to their net revenue almost doubling from 2016 to 2018.

Introduction

Uber Eats Statistics: Uber Eats, the global food delivery platform launched in 2014, has grown to become a significant player in the online food delivery industry. Operating in over 6,000 cities worldwide, it serves millions of customers across the globe. The platform partners with over 700,000 restaurants and offers food delivery in more than 45 countries. In 2023, Uber Eats reported a revenue of approximately USD 12.5 billion. The service also continues to expand its user base, with over 100 million users actively using the app each month. In the U.S. alone, Uber Eats has a market share of around 25%, making it one of the leading food delivery platforms in the region.

The platform has increasingly leveraged its parent company Uber's rideshare infrastructure to enhance its delivery network, further strengthening its position in the competitive food delivery market. The article takes you through the Uber Eats statistics and trends, eventually leading to an in-depth discussion around its market performance.

Launched three years after Uber, Lyft was originally a long-distance car-pooling business, launched by Logan Green and John Zimmer. While Zimride, named after the transportation culture in Zimbabwe...

Demand for ridesharing service providers in Australia's major cities has grown rapidly over the past decade, as rising urbanisation has made it difficult for some consumers to find adequate car parking. The gradual legalisation of ridesharing services in all Australian states and territories has also benefited operators, and attracted new players to the market. However, pandemic-related lockdowns, restrictions and border closures disrupted growth over the past few years. The industry has recovered somewhat since the end of lockdowns, but revenue for ridesharing service providers is expected to fall at an annualised 3.6% over the five years through 2023-24, to $756.8 million. This includes a rise of an estimated 3.3% in 2023-24, as high inflation and rising interest rates slow the industry’s recovery from pandemic disruptions. The COVID-19 pandemic led to steep declines in revenue over the two years through 2020-21. Growth in the number of Australians working and studying from home, as well as mandated business closures, led to declining demand for ridesharing services. In addition, the closure of Australia’s external borders in an effort to limit the virus’s spread led to a sharp drop in tourist numbers, further eroding demand. Since pandemic-related restrictions have been eased, the market has started expanding rapidly again with profitability recovering. However, issues with mortgage and rent costs and soaring inflation have interrupted the recovery, with revenue still below pre-pandemic levels in 2023-24. Ridesharing operators' performance is poised to stabilise in the future, following the market's rapid growth after its inception and then steep decline from the effects of the pandemic. The market is poised to approach saturation after it recovers from the effects of the pandemic. Rising urbanisation and greater inbound tourism are going to increase the number of active users, boosting demand. Revenue for rideshare operators is forecast to rise 4.8% annualised over the five years through 2028-29, reaching $958.8 million.

The rapid growth of digital transformation in transportation services has highlighted significant concerns in user safety and usability, particularly in applications like Uber. Despite various safety features, such as real-time tracking and emergency buttons, many users find these features ineffective during urgent situations. This research aims to evaluate the usability issues within Uber’s safety features by using the TOGAF (The Open Group Architecture Framework) approach. A qualitative descriptive method was applied, involving interviews with six Uber users from different backgrounds who had experienced safety-related challenges. Thematic analysis was conducted to map their experiences onto TOGAF’s four architecture domains: Business, Application, Data, and Technology. Findings reveal weaknesses in learnability, efficiency, memorability, error prevention, and user satisfaction, often linked to poor system design and lack of cross-domain integration. Recommendations include improvements in interface visibility, real-time data accuracy, and proactive safety monitoring. This study offers a novel approach by merging usability dimensions with enterprise architecture, enabling a holistic and scalable redesign for safety systems in ride-hailing apps.

The number of users in the 'Ride-hailing' segment of the shared mobility market in the United Kingdom was forecast to continuously increase between 2025 and 2029 by in total ************* users (**************). After the ninth consecutive increasing year, the number of users is estimated to reach ************* users and therefore a new peak in 2029. Notably, the number of users of the 'Ride-hailing' segment of the shared mobility market was continuously increasing over the past years.Find more information concerning China and Worldwide. The Statista Market Insights cover a broad range of additional markets.

What is UBER?

Uber Technologies, Inc., commonly known as Uber, is an American technology company. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental. The company is based in San Francisco and has operations in over 900 metropolitan areas worldwide. It is one of the largest firms in the gig economy. Uber is estimated to have over 93 million monthly active users worldwide. In the United States, Uber has a 71% market share for ride-sharing and a 22% market share for food delivery. Uber has been so prominent in the sharing economy that changes in various industries as a result of Uber have been referred to as uberisation, and many startups have described their offerings as "Uber for X".

Information about this dataset

This dataset provides historical data of Uber Technologies, Inc. (UBER). The data is available at a daily level. Currency is USD.

Analysis of ‘UBER Stock Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/varpit94/uber-stock-data on 21 November 2021.

--- Dataset description provided by original source is as follows ---

What is UBER?

Uber Technologies, Inc., commonly known as Uber, is an American technology company. Its services include ride-hailing, food delivery (Uber Eats and Postmates), package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental. The company is based in San Francisco and has operations in over 900 metropolitan areas worldwide. It is one of the largest firms in the gig economy. Uber is estimated to have over 93 million monthly active users worldwide. In the United States, Uber has a 71% market share for ride-sharing and a 22% market share for food delivery. Uber has been so prominent in the sharing economy that changes in various industries as a result of Uber have been referred to as uberisation, and many startups have described their offerings as "Uber for X".

Information about this dataset

This dataset provides historical data of Uber Technologies, Inc. (UBER). The data is available at a daily level. Currency is USD.

--- Original source retains full ownership of the source dataset ---

The Measurable AI Amazon Consumer Transaction Dataset is a leading source of email receipts and consumer transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

Coverage - Asia (Japan) - EMEA (Spain, United Arab Emirates) - Continental Europe - USA

Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from app to users’ registered accounts.

Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

Context

UBER collects thousands of data points on each and every ride but it only shares a tiny part of this data with its drivers. A driver can get weekly statements from his/her personal dashboard on UBER's website. This way a driver has an opportunity to check each ride that has been made with detailed info on the earnings.

Content

Not only each weekly statement includes a unique ID and exact time of each ride but it also shows a complex structure of driver fares. Besides basic components like time, distance, and tips, driver's fares can also include promotions, surge charges, long pick-up fees, reimbursements, and many more. You can see detailed descriptors of each feature below.

Inspiration

My initial research question was simple: "Is there a difference in riders' tipping behavior like tip size and frequency on different weekdays?" But after spending some time digging into this problem it became clear that tipping is a much broader scientific field with lots of research. However, most researches were made way before services like Uber appeared and were mainly focused on tipping behavior in restaurants which obviously differs a lot. Here's one of the recent researches by former Uber and Lyft employees on tipping behavior: "The Driver’s of Social Preferences: Evidence from a Nationwide Tipping Field Experiment" by Chandar, et. al (2019)

Other research question could be: Why certain people tip and others don't? Are riders more likely to tip as the fare of the trip increses? Is that true that late-night rides are tipped more often? Can we predict the size or frequency of the tip based on the fare data only?

Analysis of ‘My Uber Drives’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/zusmani/uberdrives on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

My Uber Drives (2016)

Here are the details of my Uber Drives of 2016. I am sharing this dataset for data science community to learn from the behavior of an ordinary Uber customer.

Content

Geography: USA, Sri Lanka and Pakistan

Time period: January - December 2016

Unit of analysis: Drives

Total Drives: 1,155

Total Miles: 12,204

Dataset: The dataset contains Start Date, End Date, Start Location, End Location, Miles Driven and Purpose of drive (Business, Personal, Meals, Errands, Meetings, Customer Support etc.)

Acknowledgements & References

Users are allowed to use, download, copy, distribute and cite the dataset for their pet projects and training. Please cite it as follows: “Zeeshan-ul-hassan Usmani, My Uber Drives Dataset, Kaggle Dataset Repository, March 23, 2017.”

Past Research

Uber TLC FOIL Response - The dataset contains over 4.5 million Uber pickups in New York City from April to September 2014, and 14.3 million more Uber pickups from January to June 2015 https://github.com/fivethirtyeight/uber-tlc-foil-response

1.1 Billion Taxi Pickups from New York - http://toddwschneider.com/posts/analyzing-1-1-billion-nyc-taxi-and-uber-trips-with-a-vengeance/

What you can do with this data - a good example by Yao-Jen Kuo - https://yaojenkuo.github.io/uber.html

Inspiration

Some ideas worth exploring:

• What is the average length of the trip?

• Average number of rides per week or per month?

• Total tax savings based on traveled business miles?

• Percentage of business miles vs personal vs. Meals

• How much money can be saved by a typical customer using Uber, Careem, or Lyft versus regular cab service?

--- Original source retains full ownership of the source dataset ---

The Measurable AI UberEats E-Receipt Dataset is a leading source of email receipts and transaction data, offering data collected directly from users via Proprietary Consumer Apps, with millions of opt-in users.

We source our email receipt consumer data panel via two consumer apps which garner the express consent of our end-users (GDPR compliant). We then aggregate and anonymize all the transactional data to produce raw and aggregate datasets for our clients.

Use Cases Our clients leverage our datasets to produce actionable consumer insights such as: - Market share analysis - User behavioral traits (e.g. retention rates) - Average order values - Promotional strategies used by the key players. Several of our clients also use our datasets for forecasting and understanding industry trends better.

Coverage - Asia (Taiwan, Japan, Australia) - Americas (United States, Mexico, Chile) - EMEA (United Kingdom, France, Italy, United Arab Emirates, AE, South Africa)

Granular Data Itemized, high-definition data per transaction level with metrics such as - Order value - Items ordered - No. of orders per user - Delivery fee - Service fee - Promotions used - Geolocation data and more

Aggregate Data - Weekly/ monthly order volume - Revenue delivered in aggregate form, with historical data dating back to 2018. All the transactional e-receipts are sent from the UberEats food delivery app to users’ registered accounts.

Most of our clients are fast-growing Tech Companies, Financial Institutions, Buyside Firms, Market Research Agencies, Consultancies and Academia.

Our dataset is GDPR compliant, contains no PII information and is aggregated & anonymized with user consent. Contact business@measurable.ai for a data dictionary and to find out our volume in each country.

Taxi and Ride-hailing Services Market Outlook

As of 2023, the global taxi and ride-hailing services market size is estimated to be approximately USD 150 billion, with a projected compound annual growth rate (CAGR) of 10.5% from 2024 to 2032, which would take the market size to around USD 374 billion by 2032. The growth of this market is primarily driven by urbanization, increasing smartphone penetration, and the convenience offered by ride-hailing services.

One of the major growth factors for the taxi and ride-hailing services market is the rapid pace of urbanization. As more people move to urban areas, the demand for efficient, cost-effective, and convenient transportation solutions has skyrocketed. Urban dwellers often prefer ride-hailing services over owning private vehicles due to the high cost of vehicle maintenance, fuel, and parking. Additionally, urban congestion has made ride-hailing services an attractive alternative, helping to reduce traffic and environmental impact.

The increasing penetration of smartphones and internet connectivity has also been a key driver for this market. With the proliferation of affordable smartphones and widespread internet access, more people can easily book rides through various ride-hailing apps. Companies like Uber, Lyft, and Didi Chuxing have capitalized on this trend by offering user-friendly interfaces and seamless booking experiences. This technological advancement has made it easier for consumers to access ride-hailing services, thereby contributing to market growth.

The convenience and flexibility offered by ride-hailing services are another significant factor contributing to market growth. Unlike traditional taxi services, ride-hailing platforms provide users with the ability to book rides on-demand, schedule rides in advance, and even choose the type of vehicle they prefer. This level of convenience has attracted a wide range of users, from daily commuters to occasional travelers. The availability of multiple payment options, including cashless transactions, further adds to the convenience, making ride-hailing services a preferred choice for many.

The role of Transportation Aggregators has become increasingly significant in the evolution of the taxi and ride-hailing services market. These aggregators act as intermediaries, connecting passengers with a network of drivers through digital platforms. By leveraging technology, transportation aggregators streamline the process of booking rides, ensuring that users can access transportation services quickly and efficiently. This model not only enhances user convenience but also provides drivers with a steady stream of passengers, optimizing their earnings potential. As the market continues to grow, transportation aggregators are likely to play a pivotal role in shaping the future of urban mobility, offering innovative solutions to meet the diverse needs of modern commuters.

Regionally, the Asia Pacific market is expected to dominate the taxi and ride-hailing services market during the forecast period. This growth can be attributed to the large population base, rapid urbanization, and increasing disposable incomes in countries like China and India. Moreover, the presence of major market players such as Didi Chuxing in China and Ola in India significantly contributes to the region's market growth. North America and Europe are also notable markets, driven by high smartphone penetration and the early adoption of ride-hailing services. Meanwhile, Latin America and the Middle East & Africa are emerging markets with significant potential for growth due to improving economic conditions and increasing urbanization.

Service Type Analysis

The taxi and ride-hailing services market is broadly segmented by service type into E-hailing, Car Rental, Car Sharing, and Station-based Mobility. E-hailing, which involves booking rides through digital platforms, is the most dominant segment and is expected to continue its growth trajectory over the forecast period. The convenience, speed, and efficiency offered by e-hailing services have made them immensely popular among urban dwellers. Companies like Uber and Lyft have played a significant role in popularizing e-hailing, and continuous technological advancements are expected to further boost this segment.

Car rental services, which allow users to rent vehicles for a specific period, have also seen a surge in demand. This segment is particularly popular among touris

As of October 2020, there were around 120,000 Uber drivers in Chile. This is 41 percent more than the 85,000 Uber drivers registered in January 2019. After a decline following the COVID-19 outbreak, Uber's revenue in Latin America has increased in the third quarter of 2020.