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市場調查報告書

商品編碼

1584563

印度物流AI市場評估:提供區分·用途·產業·各地區的機會及預測 (2018-2032年)

India AI in Logistics Market Assessment, By Offering, By Application, By Industry Vertical, By Region, Opportunities and Forecast, FY2018-FY2032F

出版日期: 2024年11月07日 | 出版商:

Market Xcel - Markets and Data | 英文 130 Pages | 商品交期: 3-5個工作天內

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簡介目錄圖表

印度物流人工智慧市場規模預計將從 2024 年的 7.5631 億美元增長到 2032 年的 68.2858 億美元，預測期內的複合年增長率為 31.66%。

由於電子商務的蓬勃發展和對快速交付解決方案的需求不斷增加，市場正在蓬勃發展，這推動了對有效的供應鏈管理和先進技術的需求。人工智慧應用正在優化路線、規劃庫存管理和預測需求。隨著人工智慧的融入，物聯網設備實現了即時追蹤，企業也在投資機器學習演算法以促進順利決策並降低營運成本。政府對數位化和基礎設施發展的推動進一步加速了這一成長。隨著利害關係人越來越多地認識到人工智慧在簡化流程和改善客戶體驗方面的潛力，該技術有望加速印度作為全球物流領域關鍵要求的地位。市場正在見證傳統物流公司和新興科技公司之間的合作，以引入新穎性和可擴展性。技術和物流的融合使我們能夠更好地滿足市場快速變化的需求並做出更快的反應。

本報告提供印度物流AI的市場調查，彙整市場定義和概要，市場規模的轉變·預測，各種區分的詳細分析，產業結構，影響市場成長因素的分析，案例研究，競爭情形，主要企業簡介等資訊。

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.

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

簡介目錄圖表

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

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