China AI in Supply Chain Market Size & Share Analysis - Growth Trends and Forecast (2026 - 2035)
China AI in Supply Chain Market: by Type (Software, Services, Hardware), Application (Inventory Management, Supply Chain Planning, Logistics & Transportation, Fleet Management, Demand Forecasting, Others), Distribution Channels (Online, Offline), Technology (Machine Learning, Natural Language Processing, Computer Vision, Deep Learning, Others), Organization Size (Small, Medium, Large) and By China Historical & Forecast Period (2020-2035) Comprehensive Study 2025
Last Updated: 23-07-2025 | Format: PDF | Report ID:11933 | Author: Mike
China AI in Supply Chain Market Size, Share & Trends 2025-2035
The China AI in Supply Chain Market is witnessing robust growth driven by digital transformation, smart logistics, and government support. AI-based solutions are pivotal for optimizing operations, lowering costs, and enhancing visibility. With the influx of emerging technologies such as machine learning, deep learning, and computer vision, enterprises are streamlining everything from inventory management to demand forecasting. Leading players, including Alibaba, Baidu, and Huawei, are intensifying their R&D investments for supply chain platforms powered by advanced AI. The market is forecasted to surge from USD 4,260 Million in 2025, reaching around USD 25,130 Million by 2035, reflecting a CAGR of 19.2%. The software segment dominates, accounting for nearly half of the share, followed by services and hardware. Inventory management and supply chain planning remain key application areas. Increasing digital commerce, government initiatives, and rapid infrastructure expansion sustain market momentum.
Latest Market Dynamics
Key Drivers
Rapid E-commerce Expansion: The booming e-commerce sector in China accelerates the adoption of AI in supply chain solutions to manage vast logistics networks, as seen with Alibaba's Cainiao network automating warehouses and deliveries.
Government Policies and Investments: China’s government actively promotes smart manufacturing and AI adoption in industrial supply chains through various initiatives, subsidies, and pilot programs. Huawei collaborates with state-backed projects enabling end-to-end supply chain digitization.
Key Trends
Integration of IoT with AI: The fusion of IoT devices with AI analytics optimizes real-time tracking and predictive maintenance, with JD Logistics deploying AIoT for seamless warehouse management.
Rising Adoption of AI-powered Cloud Platforms: Companies like Tencent and Inspur offer cloud-based AI supply chain solutions, facilitating scalability and remote operations for SMEs and large enterprises alike.
Key Opportunities
Expansion of AI in Cold Chain Logistics: Companies such as SF Technology leverage AI to optimize temperature-controlled supply chains for pharmaceuticals and perishable goods.
AI-Driven Sustainability Optimization: Huawei and Alibaba are investing in AI tools to reduce carbon footprints in logistics by route optimization and predictive analytics.
Key Challenges
Data Privacy and Security Concerns: Growing AI adoption brings heightened risk of data breaches, with Baidu and Neusoft focusing on enhanced security protocols.
Workforce Adaptation: Upskilling labor to work alongside automated, AI-powered systems remains a challenge, evidenced by ZTE Corporation’s training initiatives.
Key Restraints
High Initial Investment: The significant cost of deploying full-scale AI solutions deters small and medium enterprises. Lenovo and Yutong Group are launching affordable AI modules to mitigate this restraint.
Integration Complexity: Integrating legacy supply chain systems with AI platforms poses challenges, prompting SenseTime to offer customized integration solutions.
China AI in Supply Chain Market Share by Type, 2025
In 2025, the software segment leads the China AI in Supply Chain Market, comprising 48% of the total share. The increasing demand for intelligent supply chain platforms, driven by digital transformation and advanced analytics, positions software as the core enabler of seamless operations. Services, which include consulting, system integration, and managed services, hold a 33% share, while hardware accounts for 14%. Platforms and solutions collectively make up the remaining 5%. The dominance of software is expected to continue due to widespread adoption across industries and ongoing upgrades by key players.
China AI in Supply Chain Market Share by Application, 2025
Inventory management is the largest application segment, securing 34% of the market share in 2025, as companies increasingly automate stock control and replenish systems for real-time accuracy. Supply chain planning follows with 27%, comprising AI-powered demand forecasting and supplier optimization. Logistics & transportation constitute 22% as the e-commerce boom accelerates the need for automated delivery networks. Fleet management and demand forecasting collectively account for 12%, with others at 5%. The market is rapidly evolving, with the adoption across all supply chain touchpoints driving efficiencies and agility in response to changing consumer demand.
China AI in Supply Chain Market Revenue (USD Million), 2020-2035
The market revenue is set for exponential growth, ascending from USD 1,830 Million in 2020 to USD 4,260 Million in 2025 and projected to surpass USD 25,130 Million by 2035. The rapid expansion is fueled by digital transformation, robust government investment, and the proliferation of e-commerce. AI adoption penetrates both traditional manufacturing and modern retail supply chains, resulting in an average CAGR of 19.2% over the fifteen-year period. Key market players uphold innovation, while mid-sized and large organizations continue largescale deployments, anchoring growth momentum across diverse sectors.
China AI in Supply Chain Market Year-on-Year (%) Growth, 2020-2035
Year-on-year growth trends remain positive, averaging above 17% between 2020 and 2035. The peak years are expected between 2024-2028, where the market witnesses over 21% YOY growth, driven by widespread AI integration initiatives among major logistics and manufacturing entities. As the industry matures, growth is projected to stabilize at around 10% by 2035, reflecting market consolidation, increased penetration, and normalized adoption curves. This demonstrates a healthy and sustainable market trajectory for the foreseeable future.
China AI in Supply Chain Market Regional Share (%), 2025
East China accounts for the largest regional share at 43%, owing to the concentration of leading manufacturers, tech companies, and e-commerce giants based in cities like Shanghai, Hangzhou, and Suzhou. South China follows with 22%, driven by the prominence of Guangdong province as a logistics and export hub. North China holds a 16% share, with remaining regions—including Central and West China—collectively representing 19%. Regional disparities are closing as infrastructure and digitalization efforts gain momentum in less-developed areas, promoting balanced market growth.
China AI in Supply Chain Market Share by Leading Players, 2025
Alibaba dominates China’s AI in supply chain market with a 21% share, reflecting its robust logistics solutions and AI-enabled commerce ecosystem. JD Logistics holds a 15% share, leveraging AIoT platforms for real-time inventory and routing. Huawei accounts for 12%, driven by smart manufacturing and cloud AI platforms. Tencent and Baidu each secure 8% due to their strong R&D and information platforms. Other notable players—Lenovo, SF Technology, SenseTime, ZTE—collectively occupy the remaining 36%, fostering a highly competitive and innovative landscape.
China AI in Supply Chain Market Buyers Share (%), 2025
Large enterprises constitute the primary buyers, holding a 58% share in 2025, as they possess resources to upgrade legacy supply chains with intelligent automation and analytics. Medium enterprises follow with 28% due to increasing accessibility of AI solutions, while small businesses make up 14%, aided by cloud-based AI platforms and government incentives for digitalization. The shift towards intelligent supply chains is prevalent across all organization sizes but remains most pronounced among large-scale, asset-heavy corporations.
Study Coverage
Metrics
Details
Years
2020-2035
Base Year
2025
Market Size
Revenue (USD Million)
Regions
East China, South China, North China, Central & West China
Segments
Type (Software, Services, Hardware, Platform, Solution, Others), Application (Inventory Management, Supply Chain Planning, Logistics & Transportation, Fleet Management, Demand Forecasting, Others), Distribution Channels (Online, Offline, Distributors, Direct Sales, Resellers, Others), Technology (Machine Learning, Natural Language Processing, Computer Vision, Deep Learning, Robotic Process Automation, Others), Organization Size (Small, Medium, Large)
July 2024: Alibaba’s Cainiao unveils next-gen AI-powered logistics park in Hangzhou, enabling real-time route optimization and intelligent supply chain planning.
July 2024: Baidu launches an AI-powered supply chain visibility dashboard for automotive OEMs to improve production efficiency and mitigate bottlenecks.
June 2024: SF Technology and Tencent announce a strategic partnership to co-develop AI-based fleet management solutions for cross-border e-commerce logistics.
June 2024: Huawei partners with the Ministry of Industry and Information Technology (MIIT) to support smart supply chain digitization in Northern China industrial parks.
June 2024: Lenovo expands its AI logistics platform to provide personalized supply chain recommendations for SME manufacturers.
Frequently Asked Questions
About the Author
Mike
Lead Industry Analyst
Mike is a Lead Industry Analyst specializing in market research, industry analysis, and business consulting across Semiconductor & Electronics. Mike brings a commercially grounded perspective to sectors shaped by changing demand, innovation, and competitive dynamics, helping turn complex market trends into clear strategic insights for business decision-makers. With 10+ years of experience across research, analytics, and strategic advisory roles, Mike has helped organizations translate data into actionable growth strategies.
