思科（Cisco）：2026年工业AI状况报告：交通运输篇（英文版）（40页）.pdf

1、IntroductionFollowing the success of the inaugural 2024 State of Industrial Networking Report,this edition looks at how transportation firms worldwide are adopting Artificial Intelligence;the challenges they face;and the opportunities for AI-powered transformation.We spoke to decision-makers at firm

2、s in 19countries,operating with annual revenues over$100 million.This report provides a transportation-specific view of the 2026 State of Industrial AI research,highlighting where the sector is seeing progress,where constraints remain,and what foundations are required to move from targeted deploymen

3、ts to secure,repeatable scale.Cisco,in association with Sapio Research,undertook this study to establish levels of AI adoption in industrial networking;the operational outcomes organizations are achieving from AI investments;barriers to scale;and how to align for success.2026 State of Industrial AI

4、Report for Transportation2Executive summaryIndustrial AI demands network modernization Transportation organizations consistently highlight the network as a critical dependency for AI atscale.48%of transportation organizations expect significant increases in connectivity and reliability requirements

5、95%of decision-makers say reliable wireless networks are vital for enabling AI More reliable connectivity(48%),bandwidth(44%),and wireless connectivity/mobility(40%)are top network requirements for AI at scaleNetwork readiness now determines AI success,with infrastructure limitations directly constr

6、aining the ability to scale deployments.Cybersecurity is both the#1 barrier and the#1 assetExpanding AI adoption elevates cybersecurity risk across industrial environments.36%identify cybersecurity concerns as the key factor limiting AI adoption 44%cite security as their biggest networking challenge