Market Overview:

The Global Generative AI in Logistics Market size was valued at USD 525 Million in 2023 and is projected to reach USD 3,951.73 Million by 2030, growing at a CAGR of 28.70% from 2023 to 2030.

The Generative AI in Logistics Market is undergoing significant transformation, fueled by the integration of artificial intelligence (AI) technologies into the logistics and supply chain management sectors. Generative AI, a subset of AI, enables systems to autonomously generate new content or solutions based on patterns and data inputs. In the logistics industry, this technology is revolutionizing operations by enhancing efficiency, optimizing routes, and predicting demand patterns. As the demand for streamlined and data-driven logistics solutions rises, the Generative AI in Logistics Market is becoming a pivotal force in shaping the future of supply chain management.

Leading companies reviewed in the Generative AI in Logistics Market report is:

IBM Corporation (US), Google LLC (US), Amazon Web Services Inc. (US), Microsoft Corporation (US), Oracle Corporation (US), SAP SE (Germany), Intel Corporation (US), Nvidia Corporation (US), Cognizant Technology Solutions Corp. (US), Accenture PLC (Ireland), JDA Software Group Inc. (US), Blue Yonder (US), LLamasoft Inc. (US), Manhattan Associates Inc. (US), Infor Inc. (US), Kinaxis Inc. (Canada), Salesforce.com Inc. (US), Honeywell International Inc. (US), SAS Institute Inc. (US), Zebra Technologies Corporation (US) and other major players.

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Key Chapter Will Be Provided In The Report

• Patent Analysis
• Regulatory Framework
• Technology Roadmap
• BCG Matrix
• Heat Map Analysis
• Price Trend Analysis
• Investment Analysis
• Company Profiling and Competitive Positioning
• Industry Value Chain Analysis
• Market Dynamics and Factors
• Porter’s Five Forces Analysis
• Pestle Analysis
• SWOT Analysis

Market Driver:

A key driver propelling the Generative AI in Logistics Market is the increasing need for real-time decision-making and optimization in supply chain operations. The logistics industry faces challenges such as complex networks, fluctuating demand, and the need for cost-effective and environmentally friendly transportation solutions. Generative AI addresses these challenges by analyzing vast datasets, predicting potential disruptions, and generating optimal solutions. The ability of Generative AI to adapt and improve continuously based on evolving data sets is driving its adoption across logistics operations, enhancing efficiency and responsiveness to dynamic market conditions.

Market Opportunity:

An exciting opportunity within the Generative AI in Logistics Market lies in the development of comprehensive end-to-end solutions that seamlessly integrate generative AI across the entire supply chain. This includes applications in demand forecasting, route optimization, inventory management, and predictive maintenance. Companies in the market have the opportunity to collaborate with logistics providers to implement customized generative AI solutions that address specific pain points and challenges faced by the industry. Additionally, leveraging generative AI for sustainability initiatives, such as optimizing transportation routes to reduce carbon footprint, presents a significant opportunity for market players to align with environmental and corporate social responsibility goals.

Segmentations Analysis of Generative AI in Logistics Market

By Type

• Predictive Analytics
• Prescriptive Analytics
• Cognitive Computing

By Component

• Software
• Hardware
• Services

By Deployment Mode

• On-Premises
• Cloud-based

By Application

• Route Optimization
• Inventory Management
• Warehouse Management
• Supply Chain Analytics
• Last-Mile Delivery Optimization

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Regional Insights:

• North America
  • US
  • Canada
  • Mexico

• Eastern Europe
  • Bulgaria
  • The Czech Republic
  • Hungary
  • Poland
  • Romania
  • Rest of Eastern Europe

• Western Europe
  • Germany
  • UK
  • France
  • Netherlands
  • Italy
  • Russia
  • Spain
  • Rest of Western Europe

• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Malaysia
  • Thailand
  • Vietnam
  • The Philippines
  • Australia
  • New Zealand
  • Rest of APAC

• Middle East & Africa
  • Turkey
  • Bahrain
  • Kuwait
  • Saudi Arabia
  • Qatar
  • UAE
  • Israel
  • South Africa

• South America
  • Brazil
  • Argentina
  • Rest of SA

Important Features that are under offering & key highlights of the report:

• The primary objective is to underline the competitive structure of Global Generative AI in Logistics Industry.
• The research includes study of several small to medium-sized companies that compete with each other and large enterprises.
• Which segment has the potential to gain the highest market share?
• Identifying Untapped Geographic Market Territory with growth Potential of Generative AI in Logistics Market
• Identify regional factors impacting production studied at Global scale.
• Insights on Regulatory & Economic policies by geography giving ease to Market entry.
• What product features & benefits offered by Industry players studied and broken down by diverse group of customer class.
• Correlate cost structure historical data with key business segments

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Key Industry Developments in the Generative AI in Logistics Market

In June 2023, Accenture Ventures recently made a significant strategic investment in Parfin. This investment by Accenture in Parfin is the first “Project Spotlight" investment by Accenture Ventures in the Latin American region.

Key Reasons to Purchase:

1) To gain insightful analyses of the market and have comprehensive understanding of the global market and its commercial landscape.

2) Assess the production processes, major issues, and solutions to mitigate the development risk.

3) To understand the most affecting driving and restraining forces in the Generative AI in Logistics market and its impact in the global market.

4) Learn about the Generative AI in Logistics market strategies that are being adopted by leading respective organizations.

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