印度物流AI市场评估:提供区分·用途·产业·各地区的机会及预测 (2018-2032年)

印度物流人工智慧市场规模预计将从 2024 年的 7.5631 亿美元增长到 2032 年的 68.2858 亿美元，预测期内的复合年增长率为 31.66%。

由于电子商务的蓬勃发展和对快速交付解决方案的需求不断增加，市场正在蓬勃发展，这推动了对有效的供应链管理和先进技术的需求。人工智慧应用正在优化路线、规划库存管理和预测需求。随着人工智慧的融入，物联网设备实现了即时追踪，企业也在投资机器学习演算法以促进顺利决策并降低营运成本。政府对数位化和基础设施发展的推动进一步加速了这一成长。随着利害关係人越来越多地认识到人工智慧在简化流程和改善客户体验方面的潜力，该技术有望加速印度作为全球物流领域关键要求的地位。市场正在见证传统物流公司和新兴科技公司之间的合作，以引入新颖性和可扩展性。技术和物流的融合使我们能够更好地满足市场快速变化的需求并做出更快的反应。

本报告提供印度物流AI的市场调查，彙整市场定义和概要，市场规模的转变·预测，各种区分的详细分析，产业结构，影响市场成长因素的分析，案例研究，竞争情形，主要企业简介等资讯。

目录

第1章 计划的范围和定义

第2章 调查手法

第3章 摘要整理

第4章 客户的迴响

• 产品与市场的资讯
• 品牌认识的方式
• 决定是否购买时考虑的要素
• 隐私与法规相关考察

第5章 印度物流AI市场展望

• 市场规模的分析·预测
• 市场占有率的分析·预测
  • 各提供种类
  • 各用途
  • 各产业
  • 各地区
  • 企业占有率分析
• 市场地图分析

第6章 供需分析

第7章 价值链分析

第8章 波特的五力分析

第9章 大环境分析

第10章 市场动态

• 推动市场要素
• 市场课题

第11章 市场趋势·展开

第12章 案例研究

第13章 竞争情形

• 前五名市场领导公司的竞争矩阵
• 前五名公司的SWOT分析
• 前十大主要企业的形势
  • Mad Street Den Inc.
  • TVS Supply Chain Solutions
  • Mara Labs Inc.
  • Shipsy.io
  • Ecom Express Limited

第14章 策略性建议

第15章 关于本公司·免责声明

India AI In logistics market is projected to witness a CAGR of 31.66% during the forecast period FY2025-FY2032, growing from USD 756.31 million in FY2024 to USD 6828.58 million in FY2032. The market is witnessing an upswing with a growing demand for effective supply chain management and advanced technologies due to the e-commerce boom and the growing need for faster delivery solutions. AI applications are optimizing route, planning inventory management, and demand forecasting. With AI integration, real-time tracking is enabled in IoT devices, and businesses are investing in machine learning algorithms to make smooth decisions and reduce the cost of operations. The government is promoting digitalization and infrastructural development, which further accelerates this growth. With stakeholders increasingly recognizing the potential of AI in streamlining processes and improving customer experience investments, AI technology will accelerate its position in India as a major player in the global logistics landscape. The market has witnessed technological startups and collaboration with traditional logistics companies in aiming to introduce novelty and scalability. Thus, technology convergence with logistics is well poised to change this sector so that it will be able to respond better to the needs of rapidly evolving markets and be much more responsive.

In May 2024, an AI-powered RTO Predictor was developed by Delivery Limited, helping over 4,800 e-commerce businesses, including brands such as Heads Up for Tails and Healthkart, reduce return shipments and logistics costs. This solution is especially effective for cash-on-delivery (COD) orders, which constitute over 60% of e-commerce transactions in India, cutting returns by up to 20%. The RTO Predictor integrates during checkout to mitigate risks, using insights from 2.5 billion shipments to enhance customer intent understanding. After implementing this service, clients such as Minimalist and W for Women have reported improved conversion rates and lower logistics costs.

Demand for Supply Chain to Drive Market Growth

Growing demand for supply chain efficiency is the main driver for AI adoption in the Indian logistics market. E-commerce expansion and customer expectations for faster and more reliable deliveries have increased the pressure to optimize the operations of logistics companies. AI Technology can help meet these requirements by automating and improving important supply chain processes such as reserve management, request requests, and route optimization by reducing costs and increasing service levels. The ability to predict the demand for operation and the fluctuation of optimization reduces nearby places, improving the use of resources and reducing fuel consumption. Additionally, the growing need for real-time tracking and seamless logistics operations is driving the adoption of AI-based solutions that provide better visibility and control across the supply chain. AI has emerged as an important tool for businesses to stay competitive, leading to the rapid growth of the AI-based logistics market in India.

In May 2024, TVS Supply Chain Solutions partnered with Manchester Metropolitan University to advance AI in supply chain operations, demonstrating TVS SCS's commitment to technological growth. Supported by Higher Education Innovation Funding and an application for a Knowledge Transfer Partnership, the collaboration focuses on integrating AI governance into business practices. This partnership will significantly benefit India's logistics market, providing advanced AI tools to optimize operations, enhance efficiencies, and support sustainable logistics solutions, which are essential for meeting India's growing demand for streamlined, tech-enabled supply chains.

Digital Transformation in Logistics to Propel Market Growth

Digital transformation is playing a key role in the growth of India AI in logistics market by modernizing traditional supply chain operations. The adoption of advanced technologies such as cloud computing, Internet of Things, and big data analytics has enabled logistics companies to collect and analyze vast amounts of data in real-time. AI algorithms use this data to optimize key processes such as route planning, demand forecasting, warehousing management, etc., thereby significantly improving operational efficiency and reducing costs. Government initiatives such as Digital India are further reinforcing this change by encouraging businesses to adopt automation and digital solutions. With the growth of e-commerce and consumer demand, AI-equipped logistics solutions can justify these expectations, optimize distribution graphs, and improve customer experiences. Therefore, digital conversion is an important factor in the integration of AI, growth, and innovation in India's logistics sector.

In August 2023, Shipsy.io, a leader in SaaS-based logistics management, launched LIA, an AI co-pilot that uses predictive intelligence to enable proactive logistics strategies. Traditional logistics incident management has been reactive, but LIA continuously monitors KPIs and alerts stakeholders in real time to prevent issues such as shipment delays and route deviations. LIA's shift toward proactive management, improving SLAs, customer experience, and operational efficiency. This innovation is poised to benefit India's logistics market by reducing delays, optimizing workflows, and empowering companies with real-time, AI-driven insights that meet the rising demand for seamless logistics solutions.

Retail Segment to Dominate the AI in Logistics Market Share

The retail sector holds the major share of India AI in logistics market due to the growth of e-commerce and consumer demand for faster and more efficient deliveries. Retailers are increasingly using AI solutions to optimize supply chains, simplify inventory management, and improve last-mile delivery. AI supports retailers in predicting demand, monitoring actual delivery, automating warehouses, reducing costs, and increasing operation efficiency. The integration of analysis controlled by artificial intelligence provides personalized customer experiences that contribute to the loyalty of the brand. As consumer expectations for speedy deliveries grow, the retail sector's reliance on AI in logistics is set to expand further, positioning it as a key segment leading the adoption of AI technologies in India's logistics landscape. This transformation is driven by large retail players and startups investing in AI to stay competitive in a rapidly evolving market.

In August 2024, Mahindra Logistics Limited partnered with Sangti Solutions to launch Emission Analytics, an AI-driven tool aimed at optimizing end-to-end supply chain operations and reducing Scope 3 carbon emissions across sectors such as auto, telecom, e-commerce, and manufacturing. This collaboration aligns with Mahindra Logistics' ESG goals to achieve a carbon-neutral supply chain by 2040, integrating solutions such as carbon-neutral warehousing, EV fleets, and sustainable fuels. Through an accredited SaaS platform, the system provides actionable emissions data, enhancing operational transparency and sustainability. This innovation strengthens India's AI-driven logistics sector by promoting carbon-efficient practices, making the industry more resilient and environmentally responsible.

Northern India to Dominate the AI in Logistics Market Share

The northern region of India is the leader in the AI-driven logistics market due to its robust infrastructure, governmental support, and proximity to the industrial hubs. Delhi, Gurugram, and Noida have become the innovation centers of technology, and many startups and established firms are investing in AI-enabled solutions for logistics. Good transportation networks, such as highways, railways, and airports, improve the effectiveness of logistics operations. Further government policies such as Digital India and Make in India further promote AI and automation in all sectors, supporting logistics growth. The thrust for decreasing operational costs and optimizing the supply chain has made northern Indian logistics quickly embrace AI technologies, making it an industry leader in this segment.

In June 2024, ClickPost, a logistics intelligence platform for online retailers, secured USD 6 million in Series A funding led by Inflexor Ventures and Athera Venture Partners with participation from Riverwalk Holdings and Rebright Partners. The funding will support the launch of new AI-driven modules, global expansion, and hiring, enabling direct-to-consumer brands to compete against larger players like Amazon. This investment reflects the growing demand for efficient logistics solutions, positioning ClickPost to enhance India's AI capabilities in logistics, thereby supporting the expanding e-commerce landscape.

Future Market Scenario (FY2025 - FY2032F)

AI enables more efficient supply chain management by forecasting demand, optimizing routes, and managing inventory levels in real time, leading to reduced costs and improved service levels.

The rise of autonomous vehicles and AI-enabled drones will revolutionize last-mile delivery, increasing speed, and reducing labor costs while improving customer satisfaction through faster service.

AI provides vehicle maintenance and equipment predictive analysis and identifies problems before leading to dysfunction, minimizing downtime and reducing dysfunction.

AI can contribute to more individual logistics solutions, provide individual distribution options, and improve monitoring and communication abilities to improve customer participation.

Key Players Landscape and Outlook

Companies in India AI in logistics market are using advanced technologies to streamline operations, reduce costs, and improve customer satisfaction. They are focusing on integrating AI-based solutions such as predictive analytics, machine learning, and automation to optimize supply chain processes to improve inventory management and stock planning. Many companies invest in cars, drones, and robots to reduce human intervention and increase work efficiency. The actual surveillance system using AI can enhance transparency when companies minimize delays and disability and speed up supply. Companies are using AI to forecast demand, manage warehouse operations more efficiently, and reduce energy consumption. Strategic partnerships with technology companies are also essential for businesses to stay competitive and adapt to a rapidly changing environment.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Mode of Brand Awareness
• 4.3. Factors Considered in Purchase Decisions
  • 4.3.1. Features and Other Value-added Service
  • 4.3.2. Efficiency and Speed
  • 4.3.3. Cost Reduction
  • 4.3.4. Flexibility and Scalability
• 4.4. Consideration of Privacy and Regulations

5. India AI in Logistics Market Outlook, FY2018-2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Offering
    • 5.2.1.1. Hardware
    • 5.2.1.2. Software
    • 5.2.1.3. Services
  • 5.2.2. By Application
    • 5.2.2.1. Inventory Control and Planning
    • 5.2.2.2. Transport Network Design
    • 5.2.2.3. Purchasing and Supply Management
    • 5.2.2.4. Demand Planning and Forecasting
    • 5.2.2.5. Others
  • 5.2.3. By Industry Vertical
    • 5.2.3.1. Automotive
    • 5.2.3.2. Food and Beverages
    • 5.2.3.3. Manufacturing
    • 5.2.3.4. Healthcare
    • 5.2.3.5. Retail
    • 5.2.3.6. Others
  • 5.2.4. By Region
    • 5.2.4.1. North
    • 5.2.4.2. East
    • 5.2.4.3. West and Central
    • 5.2.4.4. South
  • 5.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, FY2024)
• 5.3. Market Map Analysis, FY2024
  • 5.3.1. By Offering
  • 5.3.2. By Application
  • 5.3.3. By Industry Vertical
  • 5.3.4. By Region

6. Demand Supply Analysis

7. Value Chain Analysis

8. Porter's Five Forces Analysis

9. PESTLE Analysis

10. Market Dynamics

• 10.1. Market Drivers
• 10.2. Market Challenges

11. Market Trends and Developments

12. Case Studies

13. Competitive Landscape

• 13.1. Competition Matrix of Top 5 Market Leaders
• 13.2. SWOT Analysis for Top 5 Players
• 13.3. Key Players Landscape for Top 5 Market Players
  • 13.3.1. Mad Street Den Inc.
    • 13.3.1.1. Company Details
    • 13.3.1.2. Key Management Personnel
    • 13.3.1.3. Products and Services
    • 13.3.1.4. Financials (As Reported)
    • 13.3.1.5. Key Market Focus and Geographical Presence
    • 13.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 13.3.2. TVS Supply Chain Solutions
  • 13.3.3. Mara Labs Inc.
  • 13.3.4. Shipsy.io
  • 13.3.5. Ecom Express Limited

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

14. Strategic Recommendations

15. About Us and Disclaimer

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. India AI in Logistics Market, By Value, In USD Million, FY2018-FY2032F
• Figure 2. India AI in Logistics Market Share (%), By Offering, FY2018-FY2032F
• Figure 3. India AI in Logistics Market Share (%), By Application, FY2018-FY2032F
• Figure 4. India AI in Logistics Market Share (%), By Industry Vertical, FY2018-FY2032F
• Figure 5. India AI in Logistics Market Share (%), By Region, FY2018-FY2032F
• Figure 6. By Offering Map-Market Size (USD Million) & Growth Rate (%), FY2024
• Figure 7. By Application Map-Market Size (USD Million) & Growth Rate (%), FY2024
• Figure 8. By Industry Vertical Map-Market Size (USD Million) & Growth Rate (%), FY2024
• Figure 9. By Region Map-Market Size (USD Million) & Growth Rate (%), FY2024