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市場調查報告書
商品編碼
2024112
城市交通行動服務(MaaS) 市場預測至 2034 年-按服務類型、平台類型、交通途徑、車輛類型、應用程式、最終用戶和地區分類的全球分析Urban Mobility-as-a-Service Market Forecasts to 2034 - Global Analysis By Service Type, Platform Type, Transportation Mode, Vehicle Type, Application, End User and By Geography |
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根據 Stratistics MRC 的數據,預計到 2026 年,全球城市交通行動服務(MaaS) 市場規模將達到 2,100 億美元,在預測期內以 14.5% 的複合年成長率成長,到 2034 年將達到 6,200 億美元。
城市交通行動服務(MaaS) 是一種數位化交通模式,它將公共交通、共乘、共享單車、共享汽車和微出行等多種城市出行方式整合到一個統一的平台上。用戶可以透過行動應用程式在一個系統中規劃、預訂和支付多種交通服務。 MaaS 旨在簡化都市區出行,減少對私家車的依賴,提高交通效率,並支持永續交通途徑。透過整合不同的交通途徑,它為城市居民和通勤者提供靈活、便利且經濟高效的出行解決方案。
都市化和交通堵塞
在城市中,人們正積極探索綜合出行解決方案,以最佳化道路利用並減少對私家車的依賴。旅遊即服務 (MaaS) 平台結合了即時路線最佳化和多模態交通選擇,讓城市更順暢。政府推動與共享旅遊和公共交通融合的措施正在加速其普及。通勤者日益增強的環保意識也促使他們傾向於選擇永續的交通途徑。隨著數位基礎設施的擴展,MaaS 正成為私家車擁有的可行替代方案,顯著降低停車需求和都市區整體交通密度。
資料隱私和互通性挑戰
將技術標準各異的眾多交通運輸業者整合在一起,為互通性帶來了巨大障礙,並限制了使用者體驗的流暢性。小規模的旅遊服務供應商往往缺乏實現平台全面整合所需的API基礎架構。分散的支付系統和票務協議進一步加劇了服務間協調的複雜性。缺乏標準化的資料共用框架,平台的擴充性仍然有限。這些挑戰正在減緩出行即服務(MaaS)的廣泛普及,尤其是在交通管治分散、數位化成熟度較低的地區。
與自動駕駛汽車和電動汽車的整合
自動駕駛車輛可根據即時需求動態部署,從而降低營運成本並提高服務可靠性。電動滑板車、電動自行車和電動車共乘車隊符合城市脫碳目標,並有望獲得政府補貼和綠色旅行資金。出行即服務 (MaaS) 提供者可以整合這些新興技術,提供更清潔、更經濟、更有效率的交通方式。與電動車充電網路和自動駕駛車輛營運商的合作可實現全天候服務。這種融合可望重塑城市出行生態系統。
營運成本上升和監管碎片化
出行即服務 (MaaS) 營運商正面臨車輛維護、保險、牌照和技術升級等成本飆升的困境,利潤空間受到擠壓。地方政府對共享出行、自行車和電動滑板車投放的監管規定差異顯著,令其擴大策略舉步維艱。部分市政當局對共享出行車輛的數量設定上限或要求特殊許可,限制了營運柔軟性。資金雄厚的共享旅遊巨頭和公共運輸業者的競爭,進一步加劇了小規模MaaS 業者的困境。缺乏永續的收入模式和政府的出行預算支持,許多平檯面臨縮減服務規模或退出市場的風險,這將損害其長期發展。
新冠疫情的影響
疫情初期,由於封鎖措施和衛生方面的擔憂導致共享出行需求大幅下降,共享出行和公共交通的使用率銳減。然而,同時,非接觸式支付、電子車票和個人微出行方式的普及速度加快,電動滑板車和電動自行車的需求激增。出行即服務(MaaS)平台也隨之調整策略,優先考慮衛生追蹤、限流以及提供即時擁塞資訊。疫情後復甦階段,隨著通勤者尋求靈活便捷的出行方式來取代擁擠的公共交通,人們對多模態平台的興趣再次高漲。如今,各大城市正將MaaS納入永續城市交通規劃,在整個價值鏈中優先考慮健康環保、低排放的交通方式。
在預測期內,叫車產業預計將佔據最大的市場佔有率。
由於其廣泛的覆蓋範圍、便利的方便用戶使用性和按需服務的優勢,共乘預計將佔據最大的市場佔有率。該領域滿足了各種出行需求,包括日常通勤、機場接送和夜間出行。與地圖應用程式和電子錢包的整合簡化了預訂和支付流程。即時行程追蹤和動態定價最佳化了車輛利用率。共乘公司與公共運輸業者之間不斷擴大的合作關係,實現了「最後一公里」和「第一公里」的無縫銜接。
在預測期內,微出行領域預計將呈現最高的複合年成長率。
在預測期內,受環保且經濟實惠的短途出行需求不斷成長的推動,微出行產業預計將呈現最高的成長率。電動滑板車和電動自行車可實現靈活的無樁使用,適用於5公里以內的短途出行,從而減少對汽車的依賴。城市法規鼓勵設立低排放氣體區和專用微出行車道,加速了微出行方式的普及。電池技術的進步正在延長車輛續航里程並降低維護成本。
在預測期內,歐洲地區預計將保持最大的市場佔有率,這主要得益於各國政府對永續城市交通和多模態的大力支持。歐盟的《清潔交通指令》和智慧城市計畫資金正在加速出行即服務(MaaS)的普及。 Whim 和 Moovel 等成熟平台已在芬蘭、德國和荷蘭等國部署。跨境互通性計劃和開放資料政策進一步鞏固了歐洲在出行即服務(MaaS)普及和創新方面的領先地位。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於快速的都市化、不斷成長的可支配收入以及積極的數位化發展。在中國、印度和東南亞國家,共享旅遊、共享單車和微旅行服務正經歷爆炸性成長。政府對智慧城市建設和公共交通數位化的投資,推動了出行即服務(MaaS)先導計畫的進行。智慧型手機的高普及率和低成本的行動資料通訊正在促進平台的擴充性。隨著大都會圈尋求緩解交通堵塞,亞太地區正成為全球成長最快的出行即服務市場。
According to Stratistics MRC, the Global Urban Mobility-as-a-Service (MaaS) Market is accounted for $210.0 billion in 2026 and is expected to reach $620.0 billion by 2034 growing at a CAGR of 14.5% during the forecast period. Urban Mobility-as-a-Service (MaaS) is a digital transportation model that integrates various urban mobility options such as public transit, ride-hailing, bike-sharing, car-sharing, and micro-mobility into a single unified platform. Through mobile applications, users can plan, book, and pay for multiple transportation services within one system. MaaS aims to simplify urban travel, reduce reliance on private vehicles, improve traffic efficiency, and support sustainable transportation. By combining different transport modes, it provides flexible, convenient, and cost-effective mobility solutions for city residents and commuters.
Increasing urbanization and traffic congestion
Cities are actively seeking integrated mobility solutions to optimize road usage and reduce private car dependency. MaaS platforms offer real-time route optimization and multi-modal trip combinations, enabling smoother urban movement. Government initiatives promoting shared mobility and public transit integration are accelerating adoption. Rising environmental awareness among commuters is also shifting preferences toward sustainable transport options. As digital infrastructure expands, MaaS provides a viable alternative to vehicle ownership, reducing parking demand and overall urban traffic density significantly.
Data privacy and interoperability challenges
Integrating diverse transport operators with varying technical standards creates significant interoperability hurdles, limiting seamless user experiences. Smaller mobility providers often lack the API infrastructure required for full platform integration. Fragmented payment systems and ticketing protocols further complicate cross-service functionality. Without standardized data-sharing frameworks, platform scalability remains constrained. These challenges slow down widespread MaaS adoption, particularly in regions with fragmented transport governance and limited digital maturity.
Integration with autonomous and electric vehicles
Self-driving vehicles can be dynamically deployed based on real-time demand, reducing operational costs and improving service reliability. Electric scooters, e-bikes, and EV ride-hailing fleets align with urban decarbonization goals, attracting government subsidies and green mobility funding. MaaS providers can integrate these emerging technologies to offer cleaner, cheaper, and more efficient transport options. Partnerships with EV charging networks and autonomous fleet operators will enable round-the-clock service availability. This convergence is poised to redefine urban mobility ecosystems.
Rising operational costs and regulatory fragmentation
MaaS operators face escalating costs related to fleet maintenance, insurance, licensing, and technology upgrades, squeezing profit margins. Local regulations governing ride-hailing, bike sharing, and scooter deployments vary widely across cities, complicating expansion strategies. Some municipalities impose caps on shared mobility vehicles or require special permits, limiting operational flexibility. Competition from well-funded ride-hailing giants and public transit agencies further pressures smaller MaaS players. Without sustainable revenue models or government-backed mobility budgets, many platforms risk service reductions or market exit, undermining long-term growth.
Covid-19 Impact
The pandemic initially devastated shared mobility demand as lockdowns and hygiene concerns reduced ride-hailing and public transit usage significantly. However, it accelerated contactless payments, digital ticketing, and private micro-mobility adoption, with e-scooters and e-bikes witnessing surging demand. MaaS platforms pivoted to prioritize sanitation tracking, occupancy limits, and real-time crowding information. Post-pandemic recovery has seen renewed interest in multimodal platforms as commuters seek flexible, resilient alternatives to crowded public transport. Cities are now integrating MaaS into sustainable urban mobility plans, emphasizing health-safe, low-emission travel options across the value chain.
The ride-hailing segment is expected to be the largest during the forecast period
The ride-hailing segment is expected to account for the largest market share due to its widespread availability, user familiarity, and on-demand convenience. It serves diverse commuting needs across daily work trips, airport transfers, and late-night travel. Integration with mapping apps and digital wallets has simplified booking and payments. Real-time ride tracking and dynamic pricing optimize vehicle utilization. Growing partnerships between ride-hailing firms and public transit agencies enable first-mile/last-mile connectivity.
The micro-mobility segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the micro-mobility segment is predicted to witness the highest growth rate, driven by rising demand for eco-friendly, cost-effective short-distance travel. E-scooters and e-bikes offer flexible, dockless access for trips under five kilometers, reducing reliance on cars. Urban regulations promoting low-emission zones and dedicated micro-mobility lanes are accelerating deployment. Battery technology improvements are extending vehicle range and reducing maintenance costs.
During the forecast period, the Europe region is expected to hold the largest market share fueled by strong government support for sustainable urban transport and multimodal integration. The European Union's clean mobility directives and funding for smart city projects have accelerated MaaS adoption. Countries like Finland, Germany, and the Netherlands host mature platforms such as Whim and Moovel. Cross-border interoperability initiatives and open-data policies further strengthen Europe's leadership in MaaS deployment and innovation.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, supported by rapid urbanization, rising disposable incomes, and aggressive digital adoption. China, India, and Southeast Asian nations are witnessing explosive growth in ride-hailing, bike sharing, and micro-mobility services. Government smart city missions and investments in public transit digitization are enabling MaaS pilot projects. High smartphone penetration and low-cost mobile data facilitate platform scalability. As megacities seek congestion relief, Asia Pacific is becoming the fastest-growing MaaS market globally.
Key players in the market
Some of the key players in Urban Mobility-as-a-Service (MaaS) Market include Uber Technologies Inc., Lyft, Inc., DiDi Chuxing Technology Co., Grab Holdings Inc., Ola Cabs, BlaBlaCar, Gett, Inc., Careem Networks FZ-LLC, Bolt Technology OU, Moovit Inc., MaaS Global Ltd., Citymapper Ltd., Transit App, Inc., SkedGo Pty Ltd., and Lime.
In April 2026, Uber Technologies, Inc. and Ace Hardware announced a new partnership that will bring over 3,700 Ace Hardware locations across all 50 states to the Uber Eats platform. Together, Ace's neighborhood footprint and Uber's delivery technology make it even easier for consumers to shop for home improvement essentials with just a few taps. Live today, customers can shop their neighborhood Ace Hardware on the Uber Eats app for convenient on-demand or scheduled delivery.
In March 2026, Lyft announced it will use NVIDIA AI to enhance the company's machine learning systems across its global operations. The work spans across AI-driven mobility services Lyft continues to invest in, including enterprise AI infrastructure, next-generation mapping systems, and future Level 4 autonomous fleet architectures powered by NVIDIA DRIVE Hyperion.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.