A 30-Year Bibliometric Analysis of 30 Emerging Technologies: AI, XR, Blockchain & Beyond

Abstract

Over the past 30 years, numerous technological innovations have emerged, these had been of interest to many researchers. This study examines the research about technologies from 1994 to 2024. The comprehensive analysis encompassed 1,069,978 scholarly publications, systematically identified through structured keyword protocols targeting article titles, abstracts, and indexed terminology. The fields have sustained long-term academic attention, which are rapidly gaining visibility, and what these developments reveal about broader directions in science, technology, and interdisciplinary innovationNeural networks, virtual reality, big data, and natural language processing lead the field in terms of research volume, while technologies such as quantum AI, mixed reality, and projection-based AR are emerging areas that are steadily gaining academic interesNonetheless, Neural Networks represent the predominant focus (45.3% of the corpus), followed by Virtual Reality (8.1%), Big Data analytics (7.4%), and Natural Language Processing methodologies (5.6%). Distributed ledger technologies (Blockchain, 3.1%) and digital security frameworks (Cybersecurity, 1.8%) have demonstrated accelerated research adoption in recent years, nascent fields, including Quantum-Enhanced Artificial Intelligence (0.002%) and Mixed Reality environments (0.08%), remain at earlier developmental stages despite exhibiting substantial growth indicators. These scholarly trends align with observable shifts in industrial implementation strategies and the development of regulatory frameworks. These findings provide a deeper understanding of how the rapid evolution of technology is reshaping priorities across research, industry, and everyday life.

Keywords

• Bibliometric Analysis
• Emerging Technologies
• Artificial Intelligence (AI)
• Extended Reality (XR)
• Blockchain and Cybersecurity

Son 30 Yılın 30 Yeni Teknolojisine Dair Bibliyometrik Bir Analiz: Yapay Zekâ, XR, Blokzincir ve Ötesi

Öz

Over the past 30 years, numerous technological innovations have emerged, these had been of interest to many researchers. This study examines the research about technologies from 1994 to 2024. The comprehensive analysis encompassed 1,069,978 scholarly publications, systematically identified through structured keyword protocols targeting article titles, abstracts, and indexed terminology. The fields have sustained long-term academic attention, which are rapidly gaining visibility, and what these developments reveal about broader directions in science, technology, and interdisciplinary innovationNeural networks, virtual reality, big data, and natural language processing lead the field in terms of research volume, while technologies such as quantum AI, mixed reality, and projection-based AR are emerging areas that are steadily gaining academic interesNonetheless, Neural Networks represent the predominant focus (45.3% of the corpus), followed by Virtual Reality (8.1%), Big Data analytics (7.4%), and Natural Language Processing methodologies (5.6%). Distributed ledger technologies (Blockchain, 3.1%) and digital security frameworks (Cybersecurity, 1.8%) have demonstrated accelerated research adoption in recent years, nascent fields, including Quantum-Enhanced Artificial Intelligence (0.002%) and Mixed Reality environments (0.08%), remain at earlier developmental stages despite exhibiting substantial growth indicators. These scholarly trends align with observable shifts in industrial implementation strategies and the development of regulatory frameworks. These findings provide a deeper understanding of how the rapid evolution of technology is reshaping priorities across research, industry, and everyday life.

Anahtar Kelimeler

• Bibliyometrik Analiz
• Yeni Teknolojiler
• Yapay Zekâ (YZ)
• Genişletilmiş Gerçeklik (XR)
• Blokzincir ve Siber Güvenlik

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