# Artificial Intelligence in Tourism: Assessing and Supporting NTOs' Research & Marketing Operations **Publisher:** ETC **Published:** 2025-09-03 **Category:** Global institutions & policy **Type:** Report **Access:** Free PDF **Official source:** https://etc-corporate.org/uploads/2025/09/2025_AI-in-tourism_Supporting-NTO-Operations.pdf **Canonical:** https://tourismintel.ai/reports/artificial-intelligence-in-tourism-assessing-and-supporting-ntos-research-market ## At a glance - Skills and resource gaps present major barriers to AI implementation among NTOs. - Ethical and regulatory concerns create additional obstacles to AI progress in destination marketing. - Strategic investment in AI capabilities and training identified as competitive necessity for DMOs. ## What the report covers This European Travel Commission report examines AI adoption and readiness among National Tourism Organisations across Europe. It assesses how NTOs currently integrate artificial intelligence into research and marketing operations, identifies regional disparities in digital maturity, and explores barriers to implementation including skills gaps, resource constraints, and regulatory concerns. The analysis informs strategic recommendations for DMOs and hospitality organisations seeking competitive advantage through AI-enabled operations. ## Key findings The report finds that AI adoption among European NTOs remains limited, with only 40% having integrated AI into their operations. This indicates that AI remains nascent within destination marketing infrastructure despite widespread discussion of its transformative potential. The disparity reflects broader challenges in digital transformation across the tourism sector. Significant regional variation exists in AI readiness across Europe. Eastern European NTOs demonstrate particularly low adoption rates, with figures as low as 25%, suggesting that digital capability gaps correlate with geographic and economic development patterns. This fragmentation may limit competitive parity across European destinations. Skills and resources represent fundamental constraints on AI implementation. The report identifies that NTOs lack both technical expertise and investment capacity to deploy AI solutions effectively. These deficits extend beyond technology procurement to encompass workforce capability and organisational change management. Ethical and regulatory concerns present secondary barriers to progress. The report notes that compliance considerations, data protection obligations, and ethical governance frameworks impede NTO momentum on AI adoption. These factors operate independently of technical or financial constraints. The report emphasises that understanding AI mechanisms for operational efficiency and traveller engagement is essential for strategic decision-making. DMOs and hoteliers are encouraged to prioritise investment in AI capabilities and training to maintain competitiveness, positioning technology adoption as a strategic imperative rather than an optional enhancement. ## Why it matters **DMOs & destinations** — Uneven AI adoption across Europe creates competitive risk for underinvesting destinations. The report demonstrates that 60% of NTOs lack AI integration, potentially limiting their ability to personalise marketing, analyse visitor behaviour, and optimise resource allocation. Strategic AI investment is now a competitive requirement for destination differentiation. **Hotels & hospitality** — Hotels depend on DMO marketing effectiveness and data insights to drive visitation. If NTOs lack AI capabilities, hoteliers face reduced quality of demand generation and market intelligence. The report's emphasis on training and capability-building suggests hospitality operators must invest independently in AI tools to compensate for NTO gaps. **Travel tech & distribution** — The low current adoption rate (40%) signals substantial market opportunity for AI solution providers serving NTOs and DMOs. However, barriers including skills gaps, regulatory concerns, and resource constraints require vendors to focus on implementation support, training, and compliance frameworks alongside technology development. ## Methodology and limits This brief is based on the publicly available summary only; the full report text could not be retrieved for verification. The underlying research methodology, sample size, and data collection period are not disclosed in the available metadata. Figures cited (40% and 25% adoption rates) derive from the summary description and should be verified against the full report. The brief reflects ETC's assessment of NTO digital readiness as of publication date, September 2025. > Note: this brief is based on the publicly available summary of the report only. --- © ETC for the original report. This brief is an original editorial summary by TourismIntel (https://tourismintel.ai). Read the original: https://etc-corporate.org/uploads/2025/09/2025_AI-in-tourism_Supporting-NTO-Operations.pdf