인도의 물류용 AI 시장 평가 : 제공, 용도, 산업, 지역별 기회 및 예측(2018-2032년)
India AI in Logistics Market Assessment, By Offering, By Application, By Industry Vertical, By Region, Opportunities and Forecast, FY2018-FY2032F
상품코드 : 1584563
리서치사 : Markets & Data
발행일 : 2024년 11월
페이지 정보 : 영문 130 Pages
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한글목차

인도의 물류용 AI 시장 규모는 2024년 7억 5,631만 달러에서 예측 기간 중 CAGR 31.66%로 추이하며, 2032년에는 68억 2,858만 달러로 성장할 것으로 예측됩니다.

이 시장은 E-Commerce 붐과 신속한 배송 솔루션에 대한 요구의 증가에 의해 효과적인 공급망 관리와 첨단 기술에 대한 수요가 증가하며, 호황을 보이고 있습니다. AI 애플리케이션은 루트의 최적화, 재고 관리 계획, 수요 예측을 시행하고 있습니다. AI의 통합에 의해 IoT 기기에서 실시간 추적이 가능해졌고, 기업은 머신러닝 알고리즘에 투자하여 원활한 의사결정을 내리고 운영 비용을 절감하고 있습니다. 정부는 디지털화와 인프라 구축을 추진하고 있으며, 이는 이러한 성장을 더욱 가속화하고 있습니다. 이해관계자들은 프로세스를 간소화하고 고객 경험을 개선하는 데 있으며, AI의 잠재력을 점점 더 인식하고 있으며, AI 기술은 세계 물류 환경에서 중요한 요구 사항으로 인도에서 그 입지를 가속화할 것으로 보입니다. 시장에서는 기존 물류기업과 신생 기술기업이 협업하여 새로움과 확장성을 도입하는 것을 볼 수 있습니다. 이러한 기술과 물류의 융합은 빠르게 진화하는 시장의 요구에 더 잘 대응하고 더 빠르게 대응할 수 있는 준비를 갖추고 있습니다.

인도의 물류용 AI 시장을 조사했으며, 시장의 정의와 개요, 시장 규모 추이·예측, 각종 구분별 상세 분석, 산업 구조, 시장 성장에 대한 영향요인 분석, 사례 연구, 경쟁 구도, 주요 기업의 개요 등을 정리하여 전해드립니다.

목차

제1장 프로젝트 범위와 정의

제2장 조사 방법

제3장 개요

제4장 고객의 소리

제5장 인도의 물류용 AI 시장 전망

제6장 수급 분석

제7장 밸류체인 분석

제8장 Porter's Five Forces 분석

제9장 PESTLE 분석

제10장 시장 역학

제11장 시장 동향·개발

제12장 사례 연구

제13장 경쟁 구도

제14장 전략적 제안

제15장 Market Xcel - Markets and Data 소개·면책사항

KSA
영문 목차

영문목차

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

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

6. Demand Supply Analysis

7. Value Chain Analysis

8. Porter's Five Forces Analysis

9. PESTLE Analysis

10. Market Dynamics

11. Market Trends and Developments

12. Case Studies

13. Competitive Landscape

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

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