Evolve Business Intelligence has published a research report on the Global Taxi Booking Software Market, 2021–2030. The global Taxi Booking Software Market is projected to exhibit a CAGR of around 5% during the forecast period of 2022 to 2030.
Evolve Business Intelligence has recognized the following companies as the key players in the global Taxi Booking Software market are Fare Bookings, FATbit Technologies, Infinite Cab, Mindster, Negup Solutions, Tagmytaxi, TaxiCaller, TaxiMobility, TaxiPulse, Uber Technologies Inc., Yelowsoft, Others.
Market Highlights
The global Taxi Booking Software Market is projected to be valued at USD 8 Billion by 2030, recording a CAGR of around 5% during the forecast period. The taxi booking software is software that allows the user to book a taxi in advance. It uses a platform that is similar to the Uber app. The user can search for a taxi and then book it online or through their mobile app. The main use of this software is for companies and individuals who do not have time to wait in line at the airport or find a nearby taxi company. It is software that connects consumers and taxi drivers. By using this software, consumers can book a taxi in advance and pay the fare through a credit card or bank account. It also has many different features for customization for its users such as their profile page, exclusive offers and promotions, special deals by providers, a calendar of shared activities, and much more.
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The outbreak of COVID-19 has negatively affected the market due to the closedown of various industries and the strict rules and regulations implemented by the government across the world. Due to the restriction, the taxi booking software manufacturer is facing problems delivering the software. There was a restriction on traveling activities that have led to a decrease in the number of booking taxis. There was a reduction in online taxi booking which has led to a decrease in the number of traveling through taxis. These have affected the manufacturer of software to stop the upgradation of existing software and the launch of new software for online taxi booking.
There was a decrease in demand for the taxi booking software market during the pandemic. This was due to the closure of national and international travels. There was a closedown of all travel activities by road, air, and railways that had affected the market. As the travel activities reduced the was a reduction in the number of taxi bookings led to the slowdown of the taxis business. Due to these, it has affected the software makers as they were facing reduced demand from the taxis companies.
Segmental Analysis
The global Taxi Booking Software Market has been segmented based on software, end-user, and region.
By software, the global Taxi Booking Software Market has been segmented into Android and iOS. The android segment is the fastest growing in the global Taxi Booking Software Market. The smartphone market is growing rapidly and technology is playing a key role in improving the quality of life. Technologies such as smartphones are constantly evolving, which offers a great opportunity for taxi booking software to increase market share in different regions.
Based on end-user, the global Taxi Booking Software Market has been segmented into Driver and Passenger. The passenger segment held a significant market share in this market. The passenger segment is primarily driven by the increasing number of travelers. This growth rate is expected to increase due to the increasing number of passengers and technological advancements in transportation. Taxi booking software is used for passenger transportation via taxi. This software is used for managing taxi services. The demand for taxi booking software is increasing day by day.
Regional Analysis
The Taxi Booking Software market is divided into six regions: North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa. With the rapid increase in the number of shared rides, taxi booking software is becoming a must-have for companies and it is predicted that the South American region will contribute significantly to this growth.
