AI in Logistics Market Opportunities, Sales, Revenue, Gross Margin & Trends Analysis Report 2030 With IBM Corporation, Microsoft Corporation, Google LLC

Published August 22, 2023

The AI in Logistics Market study also focuses on a comprehensive competition landscape, defined growth possibilities, market share along with product type and applications, important firms in charge of production, and employed tactics. AI in Logistics market offers data on size, forecast, trends, growth factors, and obstacles. Market analyses and projections are produced by a team of analysts and modelers with extensive experience and expertise. Based on industry trends and the tactics used by the major rivals, the analyses indicate the top countries and segments for opportunities and strategies.

The Global AI in Logistics Market is projected to reach US$ 18,691million by 2030, at a CAGR of 43.1% during the forecast period.

The AI in logistics market has experienced significant growth in recent years, driven by the increasing adoption of artificial intelligence and machine learning technologies to optimize supply chain operations. These technologies offer solutions ranging from demand forecasting, route optimization, and inventory management to predictive maintenance, enhancing overall efficiency, reducing costs, and improving customer satisfaction. With the integration of AI-driven analytics and automation, companies in the logistics sector are better equipped to address complex challenges and make data-driven decisions, revolutionizing the way goods are transported, stored, and delivered on a global scale.

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Vendor Landscape:

IBM Corporation, Microsoft Corporation, Google LLC, and, Inc. Intel Corporation, Nvidia Corporation, Oracle Corporation, FedEx Corporation, UPS, FedEx, CSX, McLane Company, DHL, Cisco Systems, Colgate-Palmolive, Johnson & Johnson, Schneider Ele

Total Market by Segment:

Global AI in Logistics Market Segment Percentages By Type



Global AI in Logistics Market Segment Percentages by Application







AI in Logistics Market Challenges and Risk

The AI in logistics market faces a myriad of challenges and risks, including data security vulnerabilities that could lead to breaches and unauthorized access to sensitive information, integration complexities with existing legacy systems, potential biases embedded in AI algorithms affecting decision-making, operational disruptions caused by overreliance on AI without robust fallback mechanisms, regulatory hurdles concerning data privacy and algorithmic transparency, as well as the potential for job displacement and resistance from the workforce due to concerns about automation.

AI in Logistics Market Regional Analysis:

North America (United States, Canada and Mexico)

Europe (Germany, UK, France, Italy, Russia and Spain etc.)

Asia-Pacific (China, Japan, Korea, India, Australia and Southeast Asia etc.)

South America (Brazil, Argentina and Colombia etc.)

Middle East & Africa (South Africa, UAE and Saudi Arabia etc.)

North America is poised to rule the sector as the AI in Logistics market expands and changes. North American AI in Logistics providers are at the forefront of innovation and growth as a result of its technology advancements, strong financial infrastructure, high customer uptake, and market consolidation initiatives. North American businesses are well-positioned to take the lead and influence the future of AI in Logistics globally as customers depend more and more on digital payments and look for simple ways to transfer money.

Current Forecast, Historic and Base year is as follows:

The latest Forecast year: 2023-2030

Historical Year – 2017-2021

Base Year – 2022

Impact Of COVID 19 On Global AI in Logistics Market

The beginning of the coronavirus pandemic coincided with a global recession that had a negative influence on many different businesses. The COVID pandemic has not only affected society, but it has also created new economic opportunities for the AI in Logistics Market. This pandemic has significantly affected the market, the competitive environment, and a mix of the AI in Logistics Market. Additionally, this market research report studies and quantifies all of these impacts and disruptions.

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Table of Contents – Major Key Points

  1. Introduction
  2. Research Methodology
  3. Market Dynamics
  4. Impact Analysis

4.1. COVID-19 Impact Analysis

4.2. Impact of Ukraine- Russia war

4.3. Impact of ongoing Recession on Major Economies

  1. Value Chain Analysis
  2. Porter’s 5 Forces Model
  3. PEST Analysis
  4. Global AI in Logistics Market Segmentation, by Transaction Mode
  5. Global AI in Logistics Market, by Payment Type
  6. Global AI in Logistics Market, by End User
  7. Global AI in Logistics Market, by Application
  8. Regional Analysis
  9. Company Profiles
  10. Competitive Landscape
  11. Conclusion

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