Built to provide research that’s more actionable and strategically valuable, The Business Research Company’s 2026 market reports include market attractiveness analysis, total addressable market sizing, company benchmarking matrices, interactive Excel dashboards, broader supply chain intelligence, emerging startup tracking, and in-depth product insights.
Artificial Intelligence-Enabled Last Mile Delivery Market Expansion Outlook: What Revenue Opportunities Are Ahead?
The artificial intelligence-enabled last mile delivery market size has grown rapidly in recent years. It will grow from $1.56 billion in 2025 to $1.8 billion in 2026 at a compound annual growth rate (CAGR) of 15.4%. The growth in the historic period can be attributed to e-commerce expansion, urban delivery challenges, growth of logistics platforms, demand for cost optimization, early ai logistics adoption.
The artificial intelligence-enabled last mile delivery market size is expected to see rapid growth in the next few years. It will grow to $2.94 billion in 2030 at a compound annual growth rate (CAGR) of 13.0%. The growth in the forecast period can be attributed to autonomous delivery deployment, smart city initiatives, carbon reduction goals, real-time customer analytics, expansion of on-demand delivery. Major trends in the forecast period include AI-based route optimization adoption, growth of autonomous delivery vehicles, expansion of predictive delivery analytics, integration of real-time tracking, demand for faster fulfillment.
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Artificial Intelligence-Enabled Last Mile Delivery Market Development Factors: What’s Supporting Demand?
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 February 2024, according to the United States Census Bureau, a US-based federal statistical agency, total e-commerce sales for 2023 were estimated at $1,118.7 billion, an increase of 7.6% from 2022. Therefore, increasing E-commerce activities are driving the growth of the artificial intelligence-enabled last-mile delivery market.
Artificial Intelligence-Enabled Last Mile Delivery Market Segment Outlook: Which Categories Are Growing Fastest?
The artificial intelligence-enabled last mile delivery market covered in this report is segmented –
1) By Type: Hardware, Software, Services
2) By Business Model: On-Demand Delivery, Scheduled Delivery Model
3) By End-User Industry: E-Commerce, Logistics, 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
Artificial Intelligence-Enabled Last Mile Delivery Market Transformation Trends: What Innovations Are Driving Change?
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
Artificial Intelligence-Enabled Last Mile Delivery Market Leading Companies And Competitive Benchmarking
Major companies operating in the artificial intelligence-enabled last mile delivery market report include FarEye Technologies Inc., Bringg Delivery Technologies Ltd., LogiNext Solutions Private Limited, Onfleet Inc., Route4Me Inc., OptimoRoute Inc., Routific Inc., Wise Systems Inc., Circuit Logistics Inc., GetSwift Limited, Detrack Systems Pte. Ltd., WorkWave LLC, Transmetrics AD, ClearMetal Inc., Shipday Inc., Deliforce Technologies Pvt. Ltd., Shipsy Inc., Dropoff Inc., Stuart Delivery Ltd., Paack Logistics
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Artificial Intelligence-Enabled Last Mile Delivery Market Geographic Landscape: Which Region Leads Industry Growth?
North America was the largest region in the artificial intelligence-enabled last mile delivery market in 2025. The regions covered in the artificial intelligence-enabled last mile delivery market report include Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.
