The corporate travel tech market in the USA is expected to save $12B annually by 2030 through the integration of AI-powered travel management systems. By 2030, AI technologies such as automated booking systems, real-time expense tracking, and predictive analytics will reduce corporate travel spend by 15% annually. AI-powered platforms will enhance efficiency, improve cost control, and offer personalized travel experiences for employees, leading to streamlined travel management. Increased adoption of AI-driven systems will further optimize corporate travel policies, resulting in greater visibility, expense reduction, and compliance.

The corporate travel tech market in the USA is projected to grow from $32.6B in 2025 to $61.2B by 2030, driven by the growing adoption of AI technologies in corporate travel management. The integration of AI-powered platforms will optimize travel spend, streamline booking processes, and improve compliance with corporate travel policies. By 2030, AI will enable $12B in savings annually by automating booking and expense management systems, reducing the manual intervention required. Real-time data analytics will also improve expense visibility, while predictive travel models will allow companies to forecast travel demand and optimize routes. As AI adoption grows, the corporate travel market will see an overall 15% reduction in travel spend, positioning AI-driven solutions as the key driver of cost-efficiency in the corporate travel space.
The adoption of AI-powered systems is transforming corporate travel management, driven by the need for efficiency and cost control. As AI-based tools such as automated booking systems, expense management, and real-time data tracking become the norm, companies will experience a significant reduction in travel expenses by 2030. By leveraging predictive analytics, companies will optimize business trip routes and scheduling, enhancing employee productivity while reducing travel-related costs. AI technologies will be crucial for improving policy compliance and data-driven decision-making. The market will see a significant rise in cloud-based platforms for cross-department collaboration and data sharing, while corporate travel agencies will continue to adopt AI-powered tools to improve efficiency and customer service.

The corporate travel tech market is segmented into AI-powered booking systems (40%), real-time expense tracking (25%), predictive analytics (20%), and cloud-based platforms (15%). AI-powered booking systems dominate the market, making up 40% of total investments, as they automate the travel booking process, reduce errors, and enhance efficiency. Real-time expense tracking is crucial for ensuring data accuracy, representing 25% of the market. Predictive analytics will account for 20% of the market, enabling companies to optimize travel routes and demand forecasting. Cloud-based platforms will play a key role in cross-departmental collaboration and data transparency, contributing 15% to the market. By 2030, AI-driven solutions will become a staple of corporate travel operations, driving cost-efficiency and employee satisfaction.
The USA dominates the AI-powered corporate travel market, accounting for 50% of the global share in 2025. California, Texas, and New York are key hubs for AI adoption in corporate travel management. Canada follows closely with 25% market share, as Toronto and Vancouver lead in AI adoption for travel companies. Europe and Asia-Pacific will also see growing demand for AI-powered travel management systems, with Germany and the UK leading the way in AI integration. By 2030, the USA will maintain its dominant market share, while Europe and Asia-Pacific will experience strong growth driven by AI innovations in the corporate travel space.

Leading players in the AI-powered corporate travel tech market include Amadeus IT Group, Expedia Group, Concur Technologies, and SAP Concur. Amadeus and Expedia lead with AI-powered travel management systems, while SAP Concur provides automated expense reporting and real-time tracking solutions. TripActions offers an AI-driven platform for corporate travel management, emphasizing predictive analytics and expense optimization. AI technology providers like Google Cloud and Microsoft are partnering with corporate travel platforms to offer cloud-based solutions for data sharing and expense management. As AI becomes increasingly integrated into corporate travel operations, the market is expected to grow exponentially, with companies investing in AI-driven platforms for cost control, sustainability, and efficiency.
Digital wallets are transforming cross-border travel payments, enabling travelers to bypass traditional banking and card networks while saving significantly on foreign exchange (FX) fees. By 2030, digital wallets are projected to save travelers $4 billion annually in fees across the U.S., EU, and Asia. Adoption is being driven by mobile-first travelers, increased smartphone penetration, and integration of real-time FX conversion in apps. By 2025, over 28% of international travelers are expected to use digital wallets for cross-border payments, growing to 55% by 2030.
Transactions using digital wallets reduce FX costs by up to 65% compared to traditional credit and debit cards, while providing instant settlement and transparent conversion rates. Platforms like Revolut, Wise, and PayPal are leading adoption, offering multi-currency wallets with travel-linked features such as prepaid cards, contactless payments, and loyalty integrations. High-frequency travelers and business travelers benefit most, reducing fees on average by $230–$310 per trip. Regulatory alignment in Europe (PSD3) and the U.S. is supporting secure, compliant adoption, further accelerating growth.
Cross-border FX disruption via digital wallets is no longer optional it is becoming a key enabler for cost-effective, frictionless travel, providing measurable savings for both leisure and business travelers.
5 Key Quantitative Takeaways (2025–2030, Global Travel):
Download the full report to explore cross-border FX savings, digital wallet adoption trends, and platform strategies for global travelers.
The AI-powered expense management market for corporate travel in the USA is projected to save $8B by 2030, as companies shift towards automated systems that reduce cost overruns, fraud, and manual tracking errors. By 2030, 50% of US companies will have fully integrated AI-based expense management systems, with adoption expected to accelerate due to the increasing need for real-time tracking, budget optimization, and employee satisfaction. The growing use of cloud-based expense systems will enable cross-departmental expense tracking, greater collaboration, and increased spending visibility, with $3B in investments expected in this sector by 2030. As AI systems gain traction, predictive analytics will help organizations eliminate unnecessary travel costs, while faster reimbursements and improved compliance will enhance corporate travel operations.
The AI-powered expense management market is driven by increased adoption of cloud-based systems and the need for companies to manage corporate travel costs more effectively. AI tools are being integrated into travel expense systems to automate expense reporting, optimize budgets, and reduce human errors. As businesses aim to recover from post-pandemic operational changes, AI solutions will be critical in streamlining corporate travel management, ensuring greater compliance and accuracy in expense processing. By 2030, 50% of businesses in the USA will implement AI-based travel management tools, leading to $8B in savings. This growth is driven by predictive analytics that will enable businesses to identify cost-saving opportunities, reduce travel spend fraud by 30%, and streamline budgeting processes.

The AI-powered expense management market is segmented into automated reporting systems (40%), predictive analytics (30%), real-time tracking and budgeting (20%), and cloud-based solutions (10%). Automated reporting systems lead the market, making up 40% of the investment, as they reduce human error and streamline travel expenses. Predictive analytics for cost optimization is another growing segment, contributing 30% of the market, enabling companies to make data-driven decisions to reduce travel-related spend. Real-time tracking and budgeting systems will account for 20%, while cloud-based solutions will help improve cross-department collaboration and expense transparency. By 2030, 50% of all corporate travel expenses in the USA will be managed through AI-powered systems, creating a more efficient, cost-effective travel environment.


The USA dominates the AI-powered expense management market for corporate travel, accounting for 45% of the market share in North America. California, Texas, and New York are major hubs for AI adoption in corporate travel management, with companies adopting cloud-based platforms for real-time tracking and expense reporting automation. Canada follows with 30% market share, with Toronto and Vancouver implementing AI-powered travel solutions for large corporations. Mexico is also emerging as a key player, with growing demand for cost-efficient corporate travel technologies. By 2030, AI-driven expense management systems will transform travel budgets and reporting across North America, reducing fraud and enhancing operational efficiencies in the US corporate travel market.
Key players in the AI-powered expense management market include Concur Technologies, SAP, Expensify, and TripActions. Concur Technologies and SAP dominate the market with AI-driven expense management systems, offering automated reporting, real-time data tracking, and predictive analytics. Expensify and TripActions lead in real-time expense tracking, with cloud-based systems enabling cross-department collaboration. These companies are expanding their offerings to include MaaS integrations and sustainability tracking tools, aligning with the increasing corporate demand for greener travel options. The competitive edge in this market is driven by technology innovation, data security, and cost optimization features that improve the overall corporate travel management experience.
Buy Now, Pay Later (BNPL) is revolutionizing leisure travel in the U.S., enabling travelers to book flights, accommodations, and experiences while spreading payments over time. By 2032, the U.S. travel BNPL market is projected to reach $12 billion, driven by millennial and Gen Z adoption, flexible payment options, and integration with major travel booking platforms. By 2025, nearly 20% of U.S. leisure travelers are expected to use BNPL services, increasing to 45% by 2032 as awareness and platform integrations expand.
BNPL adoption improves traveler affordability and boosts booking volumes. Average transaction sizes using BNPL are $850–$1,200, and early data suggests repeat booking rates increase by 15–20% when BNPL options are available. Platforms offering BNPL, such as Affirm, Klarna, and Uplift, report reduction in booking drop-offs by 18–22% due to frictionless checkout. Risk management tools, such as AI-driven credit assessment and dynamic repayment schedules, help maintain default rates under 3%, ensuring profitability for providers while enhancing consumer trust.
BNPL for leisure travel is no longer experimental it is a strategic growth lever for airlines, OTAs, and travel fintechs, combining higher booking volumes, consumer accessibility, and predictable cash flows.
5 Key Quantitative Takeaways (2025–2032, U.S.):
Download the full report to explore adoption trends, risk management frameworks, and revenue models for BNPL in U.S. leisure travel.
The rise of esports and competitive gaming tourism in Southeast Asia is creating a niche but rapidly growing travel payments market. By 2032, annual transaction volume is projected to reach $3 billion, driven by esports tournaments, gaming conventions, and regional fan experiences across Singapore, Malaysia, Indonesia, Thailand, and the Philippines. Gamers and esports enthusiasts are increasingly booking flights, hotels, and event tickets using digital wallets, mobile payments, and crypto-enabled platforms, with adoption accelerating due to seamless, frictionless payments.
Data shows that early adoption of gaming-specific payment platforms improves transaction speed by 35–40%, while reducing cross-border fees by 12–15%. Ticketing and merchandise purchases via digital channels are expected to contribute 25–30% of total esports travel revenue, with premium experiences and VIP packages driving higher average transaction values ($200–$450 per user). Fintechs and payment providers are integrating AI-driven fraud detection and loyalty rewards tailored for esports travelers, increasing repeat purchase rates by 18–22%.
Esports and gaming travel payments are not just ancillary revenue they are becoming a strategic segment for fintechs, airlines, hotels, and event organizers, unlocking high-margin, tech-savvy, and globally connected consumer segments in Southeast Asia.
5 Key Quantitative Takeaways (2025–2032, Southeast Asia):
Download the full report to explore payment solutions, adoption trends, and revenue opportunities for esports and gaming travelers in Southeast Asia.
The adoption of instant payments under the PSD3 framework is set to revolutionize the European travel ecosystem. By 2030, EU travel transactions exceeding $50 billion annually are expected to leverage real-time settlement rails, reducing friction for both consumers and merchants. Major airlines, online travel agencies, and hospitality providers are integrating instant payment APIs to streamline bookings, reduce reconciliation time, and improve cash flow. By 2025, over 40% of cross-border EU travel payments are projected to utilize instant settlement, rising to 75% by 2030 as PSD3 adoption becomes widespread.
Early deployments show significant operational advantages: settlement times drop from 1–2 days to under 10 seconds, while transaction processing costs decrease by 12–18% due to reduced intermediaries. Fraud detection systems integrated with instant payment rails also reduce chargeback disputes by 20–25%, while open banking APIs allow for automated reconciliation and real-time loyalty integration. Consumer adoption is accelerated by convenience, with surveys indicating 65–70% of EU travelers prefer platforms offering instant payment options for both domestic and cross-border travel.
PSD3-enabled instant payments are no longer a regulatory experiment they are reshaping how travelers pay, merchants operate, and financial institutions handle EU travel transactions, creating a faster, safer, and more efficient payment ecosystem.
5 Key Quantitative Takeaways (2025–2030, EU Travel):
Download the full report to explore PSD3 adoption, instant payment infrastructure, and impact on EU travel transaction efficiency.