Artificial intelligence and big data analytics in international marketing: Navigating opportunities and challenges

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Abstract

This chapter explores the transformative role of artificial intelligence (AI) and big data analytics in international marketing, examining their potential to enhance customer insights, operational efficiency, and personalised strategies. Drawing on contemporary literature and real-world case studies, the analysis highlights the benefits of AI-driven tools such as natural language processing, machine learning, and deep learning in optimising marketing practices across diverse cultural and economic contexts. The chapter also addresses significant challenges, including ethical concerns, data privacy, algorithmic bias, and the risks of over-reliance on technology. By examining successful implementations alongside cautionary examples, the discussion underscores the importance of aligning technological capabilities with strategic brand objectives. In addition to analysing current trends, the chapter identifies critical areas for future research. These include developing ethical frameworks for AI deployment, enhancing the cultural adaptability of AI systems, and investigating the long-term impacts of AI on brand equity. It also emphasises the unique challenges of implementing AI in emerging markets, highlighting the need for inclusive and scalable solutions.

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APA

Zaborek, P. (2025). Artificial intelligence and big data analytics in international marketing: Navigating opportunities and challenges. In Digital Internationalisation of Firms: Strategies, Challenges and Legal Aspects (pp. 179–200). Taylor and Francis. https://doi.org/10.4324/9781003617396-11

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