Global Machine Learning in Logistics Market to Reach US$10.7 Billion by 2030
The global market for Machine Learning in Logistics estimated at US$3.3 Billion in the year 2024, is expected to reach US$10.7 Billion by 2030, growing at a CAGR of 21.5% over the analysis period 2024-2030. Software Component, one of the segments analyzed in the report, is expected to record a 23.6% CAGR and reach US$7.8 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 16.9% CAGR over the analysis period.
The U.S. Market is Estimated at US$910.3 Million While China is Forecast to Grow at 29.1% CAGR
The Machine Learning in Logistics market in the U.S. is estimated at US$910.3 Million in the year 2024. China, the world`s second largest economy, is forecast to reach a projected market size of US$2.6 Billion by the year 2030 trailing a CAGR of 29.1% over the analysis period 2024-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 16.9% and 19.4% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 18.1% CAGR.
Global Machine Learning in Logistics Market – Key Trends & Drivers Summarized
Why Is Machine Learning in Logistics Gaining Popularity?
The logistics industry is undergoing a digital transformation, with machine learning playing a pivotal role in optimizing operations, reducing costs, and enhancing efficiency. Traditional supply chain management systems often struggle with real-time demand forecasting, route optimization, and inventory management. Machine learning algorithms, powered by big data analytics, are improving accuracy in logistics planning, helping companies minimize delays and optimize fleet utilization. As global e-commerce continues to expand and same-day delivery expectations rise, the demand for AI-driven logistics solutions is growing rapidly.
How Are Innovations Enhancing the Performance of Machine Learning in Logistics?
Recent advancements in AI, predictive analytics, and autonomous decision-making systems are revolutionizing logistics management. Machine learning models analyze historical shipping data, weather patterns, and traffic conditions to optimize delivery routes and reduce fuel consumption. AI-powered demand forecasting helps companies anticipate inventory needs, preventing stockouts and overstock situations. Additionally, robotic process automation (RPA) is streamlining warehouse operations by enhancing picking, packing, and sorting efficiency. Innovations in AI-driven chatbots and virtual assistants are also improving customer service by providing real-time shipment tracking updates and automated responses to inquiries.
What Are the Key Market Drivers?
The rapid growth of e-commerce, increasing adoption of cloud-based logistics platforms, and rising demand for cost-efficient supply chain solutions are driving market expansion. Logistics companies are also investing in AI-powered autonomous delivery vehicles and drone-based last-mile delivery solutions to improve operational efficiency. Additionally, sustainability concerns are pushing companies to use machine learning for optimizing fuel consumption and reducing carbon footprints, aligning with global environmental goals.
What Challenges and Future Opportunities Exist?
Challenges include the high cost of AI integration, data privacy concerns, and resistance to technological change among traditional logistics providers. However, future opportunities lie in expanding AI-driven predictive maintenance for fleet management, developing AI-powered blockchain logistics solutions for enhanced transparency, and integrating 5G-enabled smart logistics networks. The continued evolution of AI-powered autonomous warehouses and smart transportation systems will further redefine the logistics industry.
SCOPE OF STUDY:TARIFF IMPACT FACTOR
Our new release incorporates impact of tariffs on geographical markets as we predict a shift in competitiveness of companies based on HQ country, manufacturing base, exports and imports (finished goods and OEM). This intricate and multifaceted market reality will impact competitors by artificially increasing the COGS, reducing profitability, reconfiguring supply chains, amongst other micro and macro market dynamics.
We are diligently following expert opinions of leading Chief Economists (14,949), Think Tanks (62), Trade & Industry bodies (171) worldwide, as they assess impact and address new market realities for their ecosystems. Experts and economists from every major country are tracked for their opinions on tariffs and how they will impact their countries.
We expect this chaos to play out over the next 2-3 months and a new world order is established with more clarity. We are tracking these developments on a real time basis.
As we release this report, U.S. Trade Representatives are pushing their counterparts in 183 countries for an early closure to bilateral tariff negotiations. Most of the major trading partners also have initiated trade agreements with other key trading nations, outside of those in the works with the United States. We are tracking such secondary fallouts as supply chains shift.
To our valued clients, we say, we have your back. We will present a simplified market reassessment by incorporating these changes!
APRIL 2025: NEGOTIATION PHASE
Our April release addresses the impact of tariffs on the overall global market and presents market adjustments by geography. Our trajectories are based on historic data and evolving market impacting factors.
JULY 2025 FINAL TARIFF RESET
Complimentary Update: Our clients will also receive a complimentary update in July after a final reset is announced between nations. The final updated version incorporates clearly defined Tariff Impact Analyses.
Reciprocal and Bilateral Trade & Tariff Impact Analyses:
USA
CHINA
MEXICO
CANADA
EU
JAPAN
INDIA
176 OTHER COUNTRIES.
Leading Economists - Our knowledge base tracks 14,949 economists including a select group of most influential Chief Economists of nations, think tanks, trade and industry bodies, big enterprises, and domain experts who are sharing views on the fallout of this unprecedented paradigm shift in the global econometric landscape. Most of our 16,491+ reports have incorporated this two-stage release schedule based on milestones.
Please note: Reports are sold as single-site single-user licenses. Electronic versions require 24-48 hours as each copy is customized to the client with digital controls and custom watermarks. The Publisher uses digital controls protecting against copying and printing is restricted to one full copy to be used at the same location.Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook