Uber Pestle Analysis 2019
Jonathan. K. Kush is the lead business writer at 123 Writing. He holds a BA (Hons) degree in Business Administration from the University of Brighton, UK. As a Market Research Analyst by profession, Jonathan has nearly a decades experience in market research and business analysis. His passion includes studying markets and industry trends to understand their impact on company strategy, performance and ways firms can mitigate their environment to outcompete rivals.
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Founded in 2009, Uber has become the biggest and most successful taxi and ride sharing company in the world, and in 2018 commanded around 73% of the US market share, its biggest market. The ride sharing firm together with rivals has the potential to disrupt a potential $650+ billion global market for human and non-human mobility that includes taxi cab hailing, car-as-a-service, last mile package delivery, or short-term car rentals (Kulkarni 2017). Despite its success, all is not well with Uber recently. The company was involved in many scandals throughout 2017 and 2018 such as Delete Uber, which damaged its reputation and resulted in a loss of m0re than 500,000 customers and market share decline across numerous US states (Statista 2018c).
Using a PESTEL analysis of Uber, this report will examine threats from the macro environment that are economic, social, technological, legal and environmental in nature which affected Uber and the ride hailing industry throughout much of 2017 and 2018 while identifying the available growth opportunities in the market. This will include an analysis of some of the key political factors affecting Uber, as well as the major technological factors driving the ride hailing industry.
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Uber Pestel Analysis Case Study
Key Learning Outcomes
By the end of the case, students should be able to:
- Understand the broad macro-environment of Uber and the ride sharing industry in terms of political, economic, social, technological, environmental and legal factors (PESTEL/PEST/STEEPLE).
- Use our business strategy case studies to understand real life strategy applications.
- To apply strategy business models and frameworks such as Pestle/Pest/Steeple etc. to real company cases.
Use Pestel analysis example to understand the macro business environment of Uber.
- See also, Uber Swot Analysis 2019
1.0 INTRODUCTION
Founded in 2009, Uber is a taxi and ride-share app-based platform that matches riders with drivers of own cars via an app or its website. Headquartered in San Francisco, the ride hailing company offers services such as car sharing, taxi cab hailing, bike sharing, food delivery, transit tickets, and rental cars at the lowest possible cost. Uber’s strategic focus over the last few years has been to drive efficiencies via scale and to this end; it has invested vast sums in its technology platform and demand prediction algorithms that match supply and demand in an effort to offer the lowest prices, which it touts as up to 40% cheaper than conventional taxis (Mintel 2018).
Like similar tech companies such as Airbnb, Lyft and Uber make money as aggregators, taking a commission off fares paid by consumers with the rest going to the service provider. Revenues have grown 15 times from $100million in 2013 to $7.5billion in 2017 as shown in figure 1 (below). Latest revenues for Q2 2018 were estimated at $12billion (Bhuiyan 2018).
Figure 1: Uber’s global revenue 2013 to 2017 (in billion US dollars)
Source: Statista 2018c
Uber commanded a market share of approximately 73% in its biggest market, the USA in 2017 (see figure2), and still commands market leadership in most geographies encompassing over 83 countries and 220 cities, making it the biggest ride sharing company in the world (Statista 2018).
Figure 2: Market share of leading ride hailing companies in the United States as of September 2017.
Source: Statista 2018
Using a PESTEL analysis of Uber, this report will examine threats from the macro environment that are economic, social, technological, legal and environmental in nature which affected Uber and the ride hailing industry throughout much of 2017 and 2018 while identifying the available growth opportunities in the market. This will include an analysis of some of the key political factors affecting Uber, as well as the major technological factors driving the ride hailing industry.
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