Research Nester published a report titled “AI-Enabled Last Mile DeliveryMarket: Global Demand Analysis & Opportunity Outlook 2029” which delivers detailed overview of the global AI-enabled last mile delivery market in terms of market segmentation by type, business model, end-user industry and by region.
Further, for the in-depth analysis, the report encompasses the industry growth indicators, restraints, supply and demand risk, along with detailed discussion on current and future market trends that are associated with the growth of the market.
The global AI-enabled last mile delivery market is segmented by end-user industry into e-commerce, logistics, healthcare, travel & tourism, food & beverage, and others, out of which, the e-commerce industry segment is projected to grab the largest market share by the end of 2021, owing to the growing e-commerce industry and the growing trends for the availability of different last mile delivery options.
The global AI-enabled last mile delivery market is anticipated to exhibit a notable CAGR during the forecast period, i.e., 2021-2029, on the back of the increasing need for last mile delivery solutions amongst the end-user industries for amplified customer satisfactory experiences and revenue generation and the recent trends for contactless delivery amongst the end consumers on account of the growing concern for COVID-19 pandemic.
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Regionally, the global AI-enabled last mile delivery market is segmented into five major regions including North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa regions, out of which, the market in North America is projected to grow with the largest market share by the end of 2029, on account of the presence of several key players in the region and the rising awareness amongst business organizations for such technologies.
Need for Amplification of Consumer Experiences Amongst Business Organizations by the Optimization of Last Mile Delivery Processes
There is a growing need amongst business organizations worldwide to optimize their last mile delivery operational costs by not lowering the consumer satisfaction indices. Business organizations are opting for various last mile delivery models, such as same-day delivery, next-day delivery, and customized time slot for delivery among others to enhance customer experiences. Moreover, with door step delivery now being more of a mandatory norm, along with the increasing consumer expectations for amplified service delivery, business organizations are increasingly adopting artificial intelligence (AI) and machine learning (ML)-based technologies that can help to optimize and enhance their business processes. As AI-enabled last mile delivery technologies help businesses to plan, execute and increase their efficiency, these technologies also contribute to lower their operational costs, which is anticipated to drive the market growth in the coming years.
However, the high initial deployment cost of AI-enabled technologies which raises the level of unwillingness amongst business organizations for the adoption of such technologies is expected to operate as key restraint to the growth of the global AI-enabled last mile delivery market over the forecast period.
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This report also provides the existing competitive scenario of some of the key players of the global AI-enabled last mile delivery market which includes company profiling of Jenny Labs Ltd., TRANSMETRICS AD, ClearMetal Inc., Robby Technologies, Freightos (Tradeos, Ltd.), Detrack Systems Pte. Ltd., Postmates, LLC, PickPack, Refraction AI, Rapidus, Inc., and NVIDIA Corporation (NASDAQ: NVDA). The profiling enfolds key information of the companies which encompasses business overview, products and services, key financials and recent news and developments. On the whole, the report depicts detailed overview of the global AI-enabled last mile delivery market that will help industry consultants, equipment manufacturers, existing players searching for expansion opportunities, new players searching possibilities and other stakeholders to align their market centric strategies according to the ongoing and expected trends in the future.
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