The integration of artificial intelligence (AI) into small, medium, and micro-enterprises (SMMEs) has gained significant traction in recent years, signaling an evolution in how these businesses operate within competitive marketplaces. In an enlightening exploration of this phenomenon, Olujimi, Owolawi, Pretorius, and colleagues have meticulously conducted a bibliometric analysis that maps the intricate research landscape surrounding agentic AI in SMMEs. Their findings not only illuminate existing patterns but also highlight critical knowledge gaps that must be addressed to foster a robust understanding of AI’s role in this domain.
Understanding what constitutes agentic AI is pivotal to grasping its potential impact on SMMEs. Unlike traditional AI systems that predominantly function through given parameters, agentic AI refers to intelligent systems capable of independent decision-making. This attribute allows them to adapt to evolving circumstances and execute tasks with minimal human oversight. For SMMEs, this means an unprecedented opportunity to enhance efficiency and scalability. Imagine a small business utilizing AI to analyze consumer behaviors in real-time, adapting its marketing strategies on the fly to optimize sales. The potential for growth is substantial.
The bibliometric analysis conducted by the authors serves as a foundational resource for academics, industry practitioners, and policymakers alike. By examining scholarly articles, conference papers, and other forms of research output, the authors elucidate trends in the academic discourse surrounding agentic AI applications within SMMEs. Through this rigorous approach, they unveil how knowledge in this area has evolved and where it is currently lacking. Their work proposes a comprehensive overview that could inform future research agendas and guide investment decisions.
It is particularly noteworthy that the research highlights a growing recognition of the transformative power of AI technologies among SMME owners and operators. Many businesses are beginning to understand that AI is not merely a technological advancement but a strategic asset. This shift in perception could potentially lead to more SMMEs adopting these technologies, thereby enhancing their competitive edge. However, the study also points out significant barriers that hinder the uptake of AI, including lack of technical expertise, financial constraints, and the rapid pace of technological change that can leave companies struggling to keep up.
Moreover, the authors point to knowledge gaps related to the practical applications of agentic AI in diverse sectors within the SMME sector. While some industries have embraced AI with remarkable success, others lag behind, revealing a disparity in adoption rates that warrants further investigation. These findings invite a closer look at how different sectors can leverage the advantages of agentic AI and understand sector-specific challenges that come into play.
The bibliometric analysis further underscores the necessity of interdisciplinary collaboration in developing effective AI solutions for SMMEs. Researchers, technologists, and business leaders must come together to create frameworks that support the unique needs of small to medium-sized enterprises. Without this collaborative spirit, the potential benefits of agentic AI may remain largely unrealized, leading to missed opportunities for innovation and growth.
In addition to clarity on current trends, the research has also sparked conversations about the ethical implications of deploying AI in smaller business contexts. As AI systems become more autonomous, questions regarding accountability, privacy, and decision-making become increasingly relevant. SMMEs must navigate these complexities while also reassuring customers and stakeholders that they are committed to ethical AI practices. This emerging concern emphasizes the need for creating clear guidelines and accountability mechanisms to govern the use of AI in SMMEs, ensuring trust in these evolving technologies.
Looking ahead, the authors advocate for greater investment in education and training tailored to SMME owners and employees. Equipping individuals with the necessary skills to engage with agentic AI not only enhances the technological landscape but also fortifies the economic viability of these enterprises. By fostering a workforce that is well-versed in AI capability, SMMEs can remain adaptable and competitive in an increasingly digital economy, capable of leveraging AI’s potential for their growth.
As the research landscape evolves, the findings from the bibliometric analysis underscore the importance of continued exploration and inquiry in this field. As agentic AI matures, the global research community must remain vigilant, anticipating new trends and shifts that may influence SMME operations. This proactive approach to research will be essential for harnessing the full potential of AI technologies and ensuring that SMMEs can thrive amid rapid digital transformation.
The implications of the study extend beyond academic circles; industry stakeholders must pay close attention to the rapidly evolving role of AI in SMMEs. The insights gained from understanding bibliometric patterns can guide investment in AI-driven solutions that cater specifically to the needs of small businesses. Understanding where research is heading and identifying gaps in the knowledge can enable businesses and investors to target their resources effectively.
In summary, the investigation into agentic AI in SMMEs is not just about technological advancement; it’s a comprehensive examination of how businesses can adapt and thrive in an increasingly digital world. The research by Olujimi and colleagues provides a vital resource for understanding the landscape of agentic AI and highlights critical gaps that need to be filled for continued progress. The work presents an encouraging view of the future where SMMEs not only survive but flourish in the face of digital transformation, thanks to the promise offered by AI technologies.
In closing, the age of agentic AI in SMMEs is upon us, presenting a myriad of opportunities that carry the potential to reshape the business landscape. This wave of innovation beckons SMMEs to consider the advantages of AI integration, guiding them toward new horizons of growth, efficiency, and competitive advantage. As the research community continues to explore these frontiers, this journey will undoubtedly unveil even more possibilities, ensuring that SMMEs do not just adapt but thrive in an era defined by technological advancement.
Subject of Research: Agentic AI in Small, Medium, and Micro Enterprises (SMMEs)
Article Title: Mapping the research landscape of agentic AI in SMMEs through a bibliometric analysis of patterns and knowledge gaps.
Article References:
Olujimi, P.A., Owolawi, P.A., Pretorius, A. et al. Mapping the research landscape of agentic AI in SMMEs through a bibliometric analysis of patterns and knowledge gaps.
Discov Artif Intell (2025). https://doi.org/10.1007/s44163-025-00764-1
Image Credits: AI Generated
DOI: 10.1007/s44163-025-00764-1
Keywords: agentic AI, small and medium enterprises, bibliometric analysis, AI adoption, digital transformation, business efficiency.
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