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IBM and Microsoft Corporation dominate the market with around 11% market share in 2023. IBM integrates advanced analytics and AI into its logistics solutions. Utilizing IBM Watson and IBM Analytics, the company provides logistics firms with tools for predictive analytics, machine learning, and artificial intelligence. These tools assist in demand forecasting, route optimization, and supply chain risk management.
The company’s focus on cloud computing ensures scalable and flexible big data solutions. Through Cloud, logistics companies can deploy applications, manage large data volumes, and scale operations efficiently. This cloud-centric approach is crucial for enabling real-time data processing, essential for modern logistics operations.
Microsoft Azure provides scalable and flexible cloud infrastructure designed to meet the dynamic needs of the logistics industry. This enables logistics companies to manage large volumes of data efficiently, ensuring robust storage, processing, and analytics capabilities. Additionally, Azure Synapse Analytics integrates big data and data warehousing, allowing logistics firms to run complex queries and generate insights rapidly. Its support for real-time analytics is crucial for decision-making in logistics operations.
Major players operating in the big data in logistics industry are: