aspg-3-2097-1791417349 20261007235549 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2023 13 1 Sajad Ali Zearah Scientific Research Center, Al-ayen University, Thi-Qar, Iraq Maryam Ghassan Majeed Technical Computer Engineering Department, Al-Kunooze University College, Basrah, Iraq Mohammed Brayyich College of National Technical Engineering, Department of Medical Devices Engineering Nabaa R. Wasmi Zaydan Computer Technologies Engineering, Al-Turath University College, Baghdad, Iraq Aqeel Ali Medical instruments engineering techniques, Al-farahidi University, Baghdad, Iraq Marwan Qaid Mohammed6 Fraunhofer IVI,85051, Ingolstadt, Germany Venkatesan Rajinikanth Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai 602105, India Expanding the industrial component through investment in R&D is a crucial objective of the region's current industrial strategy. Significant research and investment opportunities must complement the effectiveness of the region's industrial policy. Few studies have attempted to understand the interactions between inter-organizational clusters and the capacity to sustain those clusters; most studies on innovation capacity focus on the business level. This article suggests using the One Belt All Road (OBAR) strategic framework to assess regional industry's cluster innovation capacity (CIC) and international trade and investment. The cluster innovation capability was developed using a theoretical framework through qualitative textual assessment. As a result, information management, diffusion, and acquisition capacity are the three primary abilities that make up the cluster innovation capacity. The degree of investment effort in the region's industrial sectors and the factors influencing corporate innovation have been found to be correlated. The research highlighted obstacles and potential remedies for encouraging creative thinking and financial backing among regional manufacturers. Compared to the current system, the suggested system (OBAR) achieves superior results in accuracy (87.6%), system dependability (94.8%), the F-1 measure (87.1%), and error rate (8.1%). 2023 175 188 2097 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.130114 https://www.americaspg.com/journal/3/article/2097 https://www.americaspg.com/storage/81723741687.pdf