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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

Data Driven Insights into SME Growth: Exploring Trends, Challenges and Strategic Opportunities

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  • Data Driven Insights into SME Growth: Exploring Trends, Challenges and Strategic Opportunities

Chukwuebuka Anthony KORIE 1, * and Onyinyechi Jane UDEGBULEM 2, *

1 Artificial Intelligence and Data Science, School of Computing and Mathematics, Keele University, Stoke-on-Trent, Staffordshire, United Kingdom.
2 Mass Communication, School of Social Sciences, Imo State University, PMB 2000, Owerri, Imo State, Nigeria.

Review Article

 

International Journal of Science and Research Archive, 2023, 10(02), 1566-1578.
Article DOI: 10.30574/ijsra.2023.10.2.1055
DOI url: https://doi.org/10.30574/ijsra.2023.10.2.1055

Received on 06 November 2023; revised on 22 December 2023; accepted on 28 December 2023

This paper is a synthesis of the quantitative and qualitative data on small and medium enterprise (SMEs) performance in the 2022-2025 period to establish emerging trends in their performance, the main limitations that they encountered when recovering after the pandemic, and practical strategic opportunities of firms and governmental policies. In both developed and emerging economies, SMEs proved to be resilient and remain in net job creation disproportionately, despite regional variation in the rate of growth. The years were, however, characterised by more stringent external capital (increased expenditure on borrowing and decreased lending and equity flows), which limited investment and growth, an impact particularly severe among women- and minority-led companies. OECD+1 Concurrent macro pressures, such as chronic inflation, high input prices and labour shortages, increased the fragility of operations and the narrowing of margins. U.S. Chamber of Commerce
Simultaneously, the use of digital and nascent AI among SMEs became one of the distinguishing factors: data-intensive companies obtained efficiency and customer targeting, as well as demonstrated higher scalability, whereas numerous others were dragged behind due to the skills, cost, and infrastructure disadvantages. International Trade Centre+1 The evidence suggests three strategic opportunity clusters: (1) targeted financing instruments and blended capital, which combine public and private, close funding gaps; (2) scalable digital transformation programs (training, subsidised tools, interoperable platforms) democratize productivity gains; and (3) adaptive labour and supply-chain policies, which reduce frictions and enable upskilling. The policy coordination that binds the short-term relief to the long-term investments in productivity will be necessary to transform the resilience of the SMEs to long-term inclusive growth. The paper concludes with a research agenda and a policy checklist that is data-driven, used to track the recovery of SMEs up to 2025 and beyond.

Small and Medium Enterprise (SMEs); Data-driven strategies

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2023-1055.pdf

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Chukwuebuka Anthony KORIE and Onyinyechi Jane UDEGBULEM. Data Driven Insights into SME Growth: Exploring Trends, Challenges and Strategic Opportunities. International Journal of Science and Research Archive, 2023, 10(02), 1566-1578. Article DOI: https://doi.org/10.30574/ijsra.2023.10.2.1055

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

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