<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/pbes.v8i4.11904</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Application Analysis of Growth Strategies for Industrial Automation Enterprises in the Automotive Manufacturing Sector</title><url>https://artdesignp.com/journal/PBES/8/4/10.26689/pbes.v8i4.11904</url><author>LiuHonggang</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>8</volume><issue>4</issue><history><date date-type="pub"><published-time>2025-09-10</published-time></date></history><abstract>As the demand for intelligent and flexible production in the automotive manufacturing industry continues to intensify, industrial automation enterprises are gaining ever-greater market opportunities and competitive advantages in this field. Based on a literature review and representative case studies, this paper constructs a theoretical framework for growth strategies and systematically analyzes the current application status and growth paths of automation enterprises in both complete vehicle and component production. The research finds that different growth strategies (such as vertical integration, horizontal diversification, and digital service transformation) exhibit varying applicability across upstream and downstream segments of automotive manufacturing, while simultaneously facing challenges related to technology integration, business models, and organizational change. In response to these issues, this paper proposes countermeasures such as optimizing R&amp;amp;D and customer relationship management, improving branding and after-sales service systems, and strengthening policy and industry environment support, thereby offering guidance for sustainable growth of industrial automation enterprises in the automotive manufacturing sector.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Boavida N, Candeias M, 2021, Recent Automation Trends in Portugal: Implications on Industrial Productivity and Employment in Automotive Sector. Societies, 11(3): 101.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wankhede VA, Vinodh S, 2022, State of the Art Review on Industry 4.0 in Manufacturing with the Focus on Automotive Sector. International Journal of Lean Six Sigma, 13(3): 692–732.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Stawiarska E, Szwajca D, Matusek M, et al., 2021, Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland. Sustainability, 13(9): 4867.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Bhatia MS, Kumar S, 2020, Critical Success Factors of Industry 4.0 in Automotive Manufacturing Industry. IEEE Transactions on Engineering Management, 69(5): 2439–2453.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Valaskova K, Nagy M, Zabojnik S, et al., 2022, Industry 4.0 Wireless Networks and Cyber-Physical Smart Manufacturing Systems as Accelerators of Value-Added Growth in Slovak Exports. Mathematics, 10(14): 2452.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Butt J, 2020, A Strategic Roadmap for the Manufacturing Industry to Implement Industry 4.0. Designs, 4(2): 11.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Tortorella GL, Narayanamurthy G, Thurer M, 2021, Identifying Pathways to a High-Performing Lean Automation Implementation: An Empirical Study in the Manufacturing Industry. International Journal of Production Economics, 231: 107918.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Aithal PS, 2023, Enhancing Industrial Automation Through Efficient Technology Management in Society. International Journal of Applied Engineering and Management Letters (IJAEML), 7(4): 184–215.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Pillai R, Sivathanu B, Mariani M, et al., 2022, Adoption of AI-Empowered Industrial Robots in Auto Component Manufacturing Companies. Production Planning &amp; Control, 33(16): 1517–1533.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Inyang V, Kanakana GM, Laseinde OT, 2023, Application of Sustainable Smart Manufacturing Technologies and Toolkits in the Automotive Industry. International Journal of Low-Carbon Technologies, 18: 412–422.</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
