2025年物流技术趋势报告

ByKenLyon & Laura Serban, Ti January2025 TECHNOLOGY TRENDS 2025 INTRODUCTION This is our annual paper outlining what we believe to bethe leading technology trends for thecoming year. Over recent years we have mentioned a range of technologies that have been Artificial Intelligence (AI) is different, like the arrival of the Internet and the World Wide Web some 30 Last year we focused primarily on AI, and because we think that the impact thiswill have on thesector is only just beginning, we have decided to continue this focus and update last year's report, Generative AI (GenAI) and Artificial General Intelligence (AGI) differ in scope and capabilities. GenAI isa specialised form of AI designed to generate content such as text, images, and code based onpatterns in training data, excelling in specific, predefined tasks but lacking deep reasoning and While GenAI is actively used in industries today, AGI remains theoretical and under development,with the potential to revolutionise decision-making and problem-solving across all domains. The keydistinction lies in GenAI’s narrow focus and dependence on human guidance, whereas AGI aspires to In Dec 2023: The Wall Street Journal stated: “Enterprises worldwide will have spent around $19.4bn on generative AI solutions by the end of2023, according to an estimate from International Data Corp. That spending—which includesgenerative AI software andrelated hardware plus IT and business services—will reach $151.1bn by These estimates turned out to be too conservative as according to Synergy Research, the actual GenAI Spending by Industry in 2024 As of August 2024, the global Artificial Intelligence market stood at nearly $235bn. The three leadingindustries in terms of Artificial Intelligence spending are software and information services, banking, However, the latest update from Synergy Research Group indicates that theglobal AI spending isabout $282bn for the whole of 2024. This figure is based on actual data for the first three quarters of Worldwide spending on Artificial Intelligence (AI) will more than double by 2028 when it is expectedto reach $632bn, according to a new forecast from the International Data Corporation (IDC). Therapid incorporation of AI, and generative AI (GenAI) in particular, into a wide range of products will According to the IDC spending guide, the largest categories of technology spending will beregistered by software, such as AI-enabled Applications and AI Platforms, followed by AI hardware, Going forward, the financial services industry is expected to spend the most on AI solutions over the2024-2028 forecast period, followed by software and information services and retail. The following is an updated and augmented look at the areas related to logistics and supply chain The areas we believe to be the most interesting and likely to see the most activity are: AI Agents(CoPilots) Predictive Analysis, Dynamic Routing and Optimisation Process Automation Automated Inventory Management Remote Asset Monitoring-The Internet of Things (IoT) Robots and Smart Robotics for Warehousing Digital Twins and New Manufacturing Methods These areas include existing technology and solutions, many of which have been deployed and are Other topics that play a critical role the technology driven landscape for 2025 include the following: Cyber risk As organisationstransition into a ‘digital first’ operating model, the opportunities for cyber attacksincrease. As AI systems begin to support decision making, this amplifies the potential for significant Supply chains driven by AI will be able to absorb, process, and action, huge amounts of data andinformation in real-time. The supply chain operators and managers will be able to converse innatural language with the AI and discuss any suggestions or solutions presented. But if the data has How much Data can you really Trust? By definition the supply chains that support the manufacture, shipment and use of physicalproducts across the globe, all rely on information technology. As the velocity of these operationsincrease, the requirement for better visibility at all levels is obvious. This means that decisions that Throughout most supply chains this does not yet exist. But solutions to this problem are starting toemerge, leveraging global platforms and protocols that can scale. People, People, People As was mentioned above, every organisation needs to understand and have some form of strategyfor exploiting AI. Most SME’s and, from observation, several very large ones lack the internal abilityto address this challenge. Generative AI does require direction to provide the most effective results. To help appreciate the scale of the AI introduction into business operations, a survey for IBM’s’Institute for Business Value’ claims that around 60% of senior executives are either considering, orimplementing, some form of AI driven workflows and processes by 2026. Given the astonishing AI AGENTS (COPILOTS)