インドのロジスティクス向けAI市場の評価：提供区分・用途・産業・地域別の機会および予測 (2018-2032年)

インドのロジスティクス向けAIの市場規模は、2024年の7億5,631万米ドルから、予測期間中はCAGR 31.66％で推移し、2032年には68億2,858万米ドルに成長すると予測されています。

同市場は、eコマースブームと迅速な配送ソリューションへのニーズの高まりにより、効果的なサプライチェーン管理と先進技術への需要が高まり、好況を呈しています。AIアプリケーションは、ルートの最適化、在庫管理の計画、需要予測を行っています。AIの統合により、IoT機器ではリアルタイムの追跡が可能になり、企業は機械学習アルゴリズムに投資して円滑な意思決定を行い、業務コストを削減しています。政府はデジタル化とインフラ整備を推進しており、これがこの成長をさらに加速させています。ステークホルダーは、プロセスの合理化と顧客体験の改善におけるAIの可能性をますます認識しており、AI技術は世界のロジスティクス情勢における重要要件として、インドでの地位を加速させると考えられています。市場では、新規性や拡張性の導入を目指した従来の物流企業と新興技術企業のコラボレーションが見られます。このような技術とロジスティクスの融合により、急速に進化する市場のニーズによりよく対応し、より迅速に対応できるような準備が整えられています。

当レポートでは、インドのロジスティクス向けAIの市場を調査し、市場の定義と概要、市場規模の推移・予測、各種区分別の詳細分析、産業構造、市場成長への影響因子の分析、ケーススタディ、競合情勢、主要企業のプロファイルなどをまとめています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

• 製品と市場の情報
• ブランド認知のモード
• 購入決定時に考慮される要素
• プライバシーと規制に関する考察

第5章 インドのロジスティクス向けAI市場の展望

• 市場規模の分析・予測
• 市場シェアの分析・予測
  • 提供区分別
  • 用途別
  • 産業別
  • 地域別
  • 企業シェア分析
• マーケットマップ分析

第6章 需給分析

第7章 バリューチェーン分析

第8章 ポーターのファイブフォース分析

第9章 PESTLE分析

第10章 市場力学

• 市場促進要因
• 市場の課題

第11章 市場の動向・展開

第12章 ケーススタディ

第13章 競合情勢

• 市場リーダー上位5社の競合マトリックス
• 上位5社のSWOT分析
• 主要企業上位10社の情勢
  • Mad Street Den Inc.
  • TVS Supply Chain Solutions
  • Mara Labs Inc.
  • Shipsy.io
  • Ecom Express Limited

第14章 戦略的提言

第15章 当社について・免責事項

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

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