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Global tourism leaders gathering at the 2026 edition of ITB Berlin signalled a turning point for the travel industry, projecting that emerging markets and the rapid deployment of agentic artificial intelligence could drive a sector valued at nearly $2 trillion in the coming decade. Industry executives, technology developers and government representatives described a period of structural transformation in which new digital tools and shifting travel demand are redrawing the competitive map of international tourism.
Travel technology companies presenting at the event argued that agentic AI — autonomous systems capable of performing complex tasks, planning itineraries and making purchasing decisions — is poised to transform the way travellers interact with booking platforms and destinations. Unlike earlier automation systems, these tools are designed to act on behalf of travellers, analysing personal preferences, budgets and schedules to build complete travel plans in real time.
Industry analysts at the conference said such systems could fundamentally change the economics of the travel sector. Platforms powered by agentic AI are expected to reduce transaction friction, increase personalisation and enable tourism providers to reach consumers in emerging markets more efficiently. Delegates suggested that the convergence of these technologies with rapid economic growth across Asia, Africa and Latin America could reshape the structure of global tourism demand.
Tourism remains one of the world’s largest economic sectors, accounting for roughly one in ten jobs globally. International travel recovered strongly following pandemic-era restrictions, with passenger volumes and tourism receipts returning close to pre-2020 levels across many regions. Governments and industry bodies attending ITB Berlin emphasised that sustained growth will increasingly depend on technological innovation and new source markets rather than traditional Western travellers.
Executives from several travel platforms argued that emerging economies represent the most significant source of new tourism demand. Rising middle classes in countries such as Indonesia, Vietnam, Brazil and Nigeria are producing millions of first-time international travellers each year. Combined with improving connectivity and digital payment systems, these demographic changes are expected to underpin the next wave of tourism expansion.
Delegates also highlighted the growing influence of travellers from Gulf economies and Southeast Asia. Carriers and tourism boards from those regions used the event to showcase large-scale investment programmes designed to capture a larger share of global tourism flows. Mega-projects across the Gulf, including new airports, entertainment complexes and luxury resorts, were presented as evidence of intensifying competition between destinations.
Technology developers at ITB Berlin emphasised that artificial intelligence will increasingly sit at the centre of these strategies. Agentic AI systems are being integrated into booking engines, airline revenue management platforms and hotel reservation systems. Developers explained that these technologies allow software agents to negotiate travel packages, monitor price fluctuations and adjust bookings automatically according to travellers’ preferences.
Industry specialists say the rise of such systems reflects a broader shift towards autonomous digital agents operating across the internet. Instead of travellers manually searching dozens of websites, AI systems can evaluate thousands of options instantly and present personalised recommendations. Some developers believe the technology could eventually act as a digital travel assistant that handles everything from flight reservations to visa applications.
Travel companies are investing heavily in these capabilities. Several major booking platforms have introduced AI-driven trip planning tools capable of generating itineraries, suggesting destinations and predicting demand patterns. Airline executives attending the conference said machine-learning models are also improving operational efficiency by forecasting passenger flows, managing aircraft capacity and reducing delays.
Tourism boards are increasingly viewing technology partnerships as essential to attracting international visitors. Delegates from several emerging economies announced collaborations with global travel platforms and technology firms to deploy AI-powered marketing campaigns. Such initiatives aim to target travellers more precisely by analysing search behaviour, social media trends and consumer spending data.
At the same time, industry participants acknowledged concerns about data privacy, algorithmic bias and market concentration. Regulators and consumer advocates attending the conference warned that autonomous AI systems handling travel bookings must operate transparently and respect user consent. Questions were also raised about whether large technology companies could dominate travel distribution channels if AI-driven agents become the primary gateway for bookings.
Economic shifts also formed a central theme at ITB Berlin. Tourism economists pointed to strong growth in travel spending across emerging markets, particularly in Asia and the Middle East. Improved infrastructure, expanding airline networks and digital payment platforms are helping destinations attract visitors who were previously excluded from international travel.
Industry forecasts presented at the event suggested that travel demand from emerging economies could account for a growing share of global tourism expenditure over the next decade. Analysts believe the combination of rising incomes and digital connectivity will bring hundreds of millions of new travellers into the global tourism ecosystem.
Executives from hotel groups and airlines emphasised that adapting to this shift requires significant investment in technology, workforce training and infrastructure. Hospitality companies are experimenting with AI-powered customer service systems, predictive pricing tools and digital concierge platforms designed to respond instantly to traveller requests.
