What are the recent trends in market size and growth for the artificial intelligence-enabled last mile delivery market?
The artificial intelligence-enabled last mile delivery market size has grown rapidly in recent years. It will grow from $1.35 billion in 2024 to $1.57 billion in 2025 at a compound annual growth rate (CAGR) of 16.0%. The growth in the historic period can be attributed to increasing e-commerce demand, growing urbanization, rising customer expectations, growing advancements in ai technologies, increasing data analytics capabilities.
The artificial intelligence-enabled last mile delivery market size is expected to see rapid growth in the next few years. It will grow to $2.8 billion in 2029 at a compound annual growth rate (CAGR) of 15.6%. The growth in the forecast period can be attributed to increased integration of robotics, rapid growth of e-commerce, expansion of IoT networks, growing competitive pressure, rising regulatory changes. Major trends in the forecast period include electric vehicles, adoption of AI, sustainable delivery, quick commerce, adoption of contactless delivery.
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How have varous drivers impacted the growth of the artificial intelligence-enabled last mile delivery market?
The increasing E-commerce activities are expected to propel the growth of the artificial intelligence-enabled last-mile delivery market going forward. E-commerce activities are online transactions such as buying, selling, and exchanging products and services via the Internet. The growth of e-commerce retail is attributed to several factors such as advancements in internet infrastructure, accessibility offered by online shopping, changing consumer preferences, and increasing adoption of digital platforms. AI-enabled last-mile delivery increases the efficiency, dependability, and cost-effectiveness of e-commerce activities, resulting in higher consumer happiness and growth. For instance, in November 2023, according to the International Trade Administration, a US-based government agency, e-commerce sales in the UK will experience an annual growth rate of 12.6% by 2025. Moreover, as of January 2021, consumer e-commerce accounted for 36.3% of the UK’s retail sector and is projected to reach $285.60 billion by 2025. Therefore, increasing E-commerce activities are driving the growth of the artificial intelligence-enabled last-mile delivery market.
What are the primary segments of the artificial intelligence-enabled last mile delivery market?
The artificial intelligence-enabled last mile delivery market covered in this report is segmented –
1) By Type: Hardware, Software, Services, Predictive Analysis, Other Types
2) By Business Model: On-Demand Delivery, Other Business Models
3) By End-User Industry: E-Commerce, Logistics, Healthcare, Travel And Tourism, Food And Beverage, Other End-User Industries
Subsegments:
1) By Hardware: Delivery Drones, Autonomous Delivery Vehicles, GPS And Tracking Devices
2) By Software: Route Optimization Software, Delivery Management Software, Fleet Management Software
3) By Services: AI-Aased Delivery Services, AI Integration Services, AI Consulting Services
4) By Predictive Analysis: Demand Forecasting, Delivery Time Prediction, Customer Behavior Analytics
5) By Other Types: Smart Lockers, Automated Pickup Stations
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Which firms are leading the artificial intelligence-enabled last mile delivery market?
Major companies operating in the artificial intelligence-enabled last mile delivery market report are NVIDIA Corporation; DoorDash Inc.; WorkWave LLC; Locus Robotics Corporation; FarEye Technologies Inc.; Bringg Delivery Technologies Ltd.; Magaya Corporation; Circuit Logistics Inc.; Shipwell Inc.; LogiNext Solutions Private Limited; Freightos Limited; Wise Systems Inc.; Route4Me Inc.; GetSwift Limited; Onfleet Inc.; Transmetrics AD; ClearMetal Inc.; Boxbot Inc.; Refraction AI Inc.; Robby Technologies Inc.; Rapidus Inc.; OptimoRoute Inc.; Routific Inc.; Detrack Systems Pte. Ltd.; PickPack LLC
How will industry trends affect the trajectory of the artificial intelligence-enabled last mile delivery market?
Major companies operating in the artificial intelligence-enabled last-mile delivery market are developing supply chain AI assistants to advance the inflow and outflow of goods. Supply chain AI assistant optimizes logistics and improves decision-making through intelligent automation. For instance, in February 2024, One Network Enterprises, a US-based supply chain management company, launched NEO Assistant, a creative supply chain artificial intelligence helper created by One Network Enterprises. It enables better decision-making through real-time actionability, adaptive flows, smart prescriptions, and interactive visualizations. The tool is built on one digital supply chain network, providing end-to-end visibility and control with one data model and truth, from raw material to last-mile delivery. NEO Assistant is fully aware of the real-time state of the user’s supply chain and re-evaluates its assumptions when this state changes
Which geographic trends are shaping the artificial intelligence-enabled last mile delivery market, and which region has the highest market share?
North America was the largest region in the artificial intelligence-enabled last mile delivery market in 2024. The regions covered in the artificial intelligence-enabled last mile delivery market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
What Does The Artificial Intelligence-Enabled Last Mile Delivery Market Report 2025 Offer?
The artificial intelligence-enabled last mile delivery market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
Artificial intelligence-enabled last mile delivery refers to the integration of artificial intelligence technologies in the final stage of the delivery process, focusing on the efficient transportation of goods from distribution centers to the end customers’ doorsteps. It involves utilizing AI algorithms for route optimization, predictive analytics, and real-time tracking to streamline delivery operations.
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