
Pony AI Inc (hereinafter referred to as 'Pony') successfully went public on November 27, 2024. In this IPO, the company issued a total of 20 million American Depository Shares (ADS), at an issue price of $13 per ADS, raising $452 million in funds.
During the process of listing in the US, Frost & Sullivan mainly undertook the following tasks: helping the issuer accurately and objectively understand its positioning in the target market, uncovering and supporting the issuer's competitive advantages through objective market data analysis, assisting the issuer, investment banks, and other intermediaries in completing the writing of relevant sections of the prospectus (such as the overview, competitive advantages and strategy, industry overview, business, and other important chapters), facilitating communication between the issuer and SEC and investors, helping investors quickly understand the market ecosystem and competitive landscape, and assisting the issuer in completing various feedbacks from the SEC regarding industry issues.
Investment highlights
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The company is a leading provider of autonomous driving mobility services;
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The company has mastered the core technologies for the large-scale commercial application of L4-level autonomous driving technology;
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The company has a visionary and experienced management team.
According to a report by Frost & Sullivan:
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According to the effective mileage records of the road tests conducted by the test subjects of intelligent connected vehicles in Guangzhou in 2022, the company has the longest total test mileage;
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Based on the average vehicle speed of test subjects for intelligent connected vehicles in Guangzhou in 2022, the company's vehicles have the fastest average speed.
Advantages of autonomous driving
●Strengthen securityApproximately 1.3 million people die in traffic accidents each year, mainly caused by human errors. Traffic accidents also cause huge economic losses. Autonomous driving technology can make more comprehensive judgments in a short time under emergency conditions, thereby effectively improving human safety.
●Reduce costsIn the passenger transportation and logistics industries, labor costs account for a relatively high proportion of operating expenses. If fully autonomous driving technology is applied, operating costs in the passenger transportation and logistics industries can be reduced by approximately 45% and 25% respectively. In addition, autonomous driving can make significant contributions to fuel economy and emission reduction through better route planning and more rational vehicle motion control. Especially for long-distance freight, fuel costs account for about 30% of total operating costs, and achieving electrification transformation still faces challenges.
●Improve efficiencyCompared to human driving, autonomous driving operates in a more standardized manner and is monitored by computers. The large-scale deployment of autonomous driving can greatly optimize traffic efficiency and free up human resources, allowing them to be reconfigured to other industries.
Driving factors and development trends of the autonomous driving market
● Consumers' acceptance of autonomous driving technology has increased.As autonomous driving has highlighted its advantages in safety, efficiency, and user experience, consumers have shown great interest in vehicles equipped with advanced autonomous driving capabilities, which has spurred the automotive industry to increase investment and development of automotive-grade software and hardware products to achieve a higher level of automation.
● The vigorous development of automotive electrification has provided a broad application platform for autonomous driving.Compared to internal combustion engine vehicles, electric vehicles have advantages in high control precision, low latency, and a more comprehensive redundancy system. Therefore, electric vehicles are considered the best carrier for autonomous driving technology. The foundation for the widespread application of autonomous driving vehicles in the future is the in-depth development of vehicle electrification.
● The progress of software and hardware has laid the foundation for the realization of autonomous driving.In recent years, thanks to the development and progress of automotive-grade sensors and chipsets, such as processors that increase computing power while reducing power consumption, leading autonomous driving technology companies have leveraged advanced software algorithm capabilities to achieve vehicle perception, prediction, planning, and control in a more precise and comprehensive manner using multi-level sensors and other hardware.
● In-depth industrial cooperation has promoted the commercialization of autonomous driving.The realization of autonomous driving depends on the deep integration of vehicle hardware and software, which requires in-depth cooperation among companies. For example, by collaborating closely with automakers, autonomous driving companies can integrate autonomous driving hardware and software during the vehicle design and production phase, rather than modifying the vehicle after production, thereby effectively improving reliability and reducing the cost of vehicle integration.
Overview of the Autonomous Driving Taxi (Robotaxi) Market
Autonomous taxis are vehicles equipped with Level 4/L5 autonomous driving technology. As one of the most promising applications of autonomous driving technology, autonomous taxis are known for providing more economical, safer, and efficient services. Driven by technological progress, policy support, and reduced hardware costs, the autonomous taxi service market is expected to be commercialized around 2026. Due to significant improvements in safety and pricing advantages due to lower operating costs, autonomous taxis are expected to penetrate the shared mobility market in its initial commercial phase. It is estimated that by around 2030, the autonomous taxi service market will enter a mature commercial stage. The global autonomous taxi service market size is expected to reach approximately $300 million by 2025, grow to $666 billion by 2030, and further increase to $3526 billion by 2035.

Data source: Analysis by Frost & Sullivan
Market Overview of Autonomous Driving Trucks (Robotruck)
Autonomous trucks refer to trucks equipped with autonomous driving technology. Compared to traditional trucks, autonomous trucks have significant advantages in long-distance transportation. As autonomous trucks can alleviate the shortage of drivers at a lower cost, it is expected that the penetration rate of autonomous trucks in the global long-distance freight market will continue to increase. The global market size for autonomous truck services is expected to reach approximately $200 million by 2025, $268 billion by 2030, and further grow to $604.9 billion by 2035.

Data source: Analysis by Frost & Sullivan
Frost & Sullivan has extensive research experience in the automotive and transportation industries, assisting well-known companies in successfully accessing the capital market. Successful listings include: XCHG Limited (NASDAQ:XCH), Xirui Aircraft (2507.HK), Didi Chuxing (2559.HK), ZK.NYSE, Zhihang Automobile (1274.HK), Lüyuan Group (2451.HK), Noco-noco (NASDAQ: NCNC), VinFast (NASDAQ:VFS), Shengshi Dalian (NASDAQ:SDA), Ucar (NASDAQ:UCAR), HSAI.NASDAQ, ECX.NASDAQ, Boyang International (2457.HK), NWTN.NASDAQ, Zhongxin Hangkong (3931.HK), Leapmotor (9863.HK), DBS World (2418.HK), Kuaidou Taxi (2246.HK), NIO (NIO.SGX), NIO (9866.HK), Canggang Railway (2169.HK), YGMZ.NASDAQ, Asia Express (8620.HK), InfinityL&T (1442.HK), TOMOHOLDINGS (6928.HK), EH.NASDAQ, Aodima (8418.HK), Xiangxing International (8157.HK), CIMC Vehicles (1839.HK), Xunlong (1930.HK), CSSC Leasing (3877.HK), Chengdu Expressway (1785.HK), Tianrui Automotive Interior (6162.HK), Baren Holdings (2885.HK), Huazi International (2258.HK), Pulin Chengshan (1809.HK), NIO (NIO.NYSE), Wanlida (8482.HK), Qilu Expressway (1576.HK), Yingheng Technology (1760.HK), Asia Industry (1737.HK), Ruifeng Power (2025.HK), Gaomeng Technology (8065.HK), Hebei Yichen (1596.HK), Zhengli Holdings (8283.HK), Junao Holdings (8035.HK), Yadi Group (1585.HK), Yihai Car Rental (EHIC.NYSE), Xincheng Power (1148.HK), Zhengxing Wheels (ZX.NYSE), Shuanghua Holdings (1241.HK), Changfeng Axle (1039.HK), Black Sesame Intelligence (2533.HK), AZI.US.
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