Artificial Intelligence in Supply Chain Market Share & Trends...

Artificial Intelligence in Supply Chain Market Share & Trends Analysis, 2032 | UnivDatos

Posté 2025-12-30 12:25:52

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According to a newly released study by UnivDatos, the Artificial Intelligence in Supply Chain Market was valued at approximately USD 7.1 billion in 2023 and is projected to expand at an exceptional CAGR of nearly 44.5% during the forecast period (2024–2032). This rapid market expansion is being fueled by the growing demand for automation, real-time analytics, predictive insights, and improved operational performance across global supply chains.

The Artificial Intelligence in Supply Chain market report has been compiled through extensive research and data aggregation, covering key market dynamics such as growth drivers, restraints, challenges, and emerging opportunities. This advanced research study incorporates multiple analytical models to deliver a comprehensive perspective on market trends and future growth potential. The report also provides a thorough evaluation of recent industry developments and evolving factors shaping market expansion. Additionally, it estimates and forecasts the AI in supply chain market at both global and regional levels.

Market Overview

Artificial intelligence is transforming supply chain operations by enabling advanced optimization capabilities that support precise capacity planning, higher productivity, improved quality control, cost reduction, and increased output, while also promoting safer working environments. The rising adoption of AI in supply chain management is largely driven by growing investments in artificial intelligence technologies and increased digital transformation initiatives.

For example, according to LiveMint, global AI investments reached approximately USD 881 million in 2020. Moreover, AI has been deployed across a wide range of end-use applications, allowing enterprises to operate with minimal human intervention. AI-powered machines and systems can replicate human decision-making abilities, enabling autonomous operations and intelligent process execution.

Access the sample report (including charts, graphs, and figures):

https://univdatos.com/reports/artificial-intelligence-in-supply-chain-market?popup=report-enquiry

The Artificial Intelligence in Supply Chain Market is expected to grow at a CAGR of around 46%, primarily driven by increased investments from leading technology providers and solution developers. Major companies offering AI-powered supply chain solutions include IBM Corporation, Microsoft Corporation, Google LLC, Amazon.com Inc., Intel Corporation, NVIDIA Corporation, Oracle Corporation, Samsung, Llamasoft Inc., and SAP SE.

Market Segmentation Analysis

· By Application:

Based on application, the market is segmented into fleet management, supply chain planning, warehouse management, virtual assistants, and others. Among these, the supply chain planning segment is anticipated to record a significant CAGR during the forecast period. The increasing reliance on data-driven decision-making and the expansion of enterprise operations require efficient planning, scheduling, and coordination. AI supports these requirements by optimizing resource allocation, demand forecasting, and operational workflows.

· By End User:

By end-user industry, the market is categorized into automotive, retail, consumer packaged goods (CPG), food & beverages, and others. The automotive segment is expected to witness substantial growth throughout the forecast period, driven by the rapid expansion of the automotive industry and the growing adoption of electric vehicles, which demand advanced and intelligent supply chain solutions.

Have a Look at the Chapters

Artificial Intelligence in Supply Chain Market – Regional Segmentation

· North America (United States, Canada, and Rest of North America)

· Europe (Germany, United Kingdom, Spain, Italy, France, and Rest of Europe)

· Asia-Pacific (China, Japan, India, and Rest of Asia-Pacific)

· Rest of the World

North America holds a prominent share of the AI in supply chain market due to the strong presence of major technology providers and well-established economies in the region. Additionally, the increasing adoption of deep learning, machine learning, and natural language processing (NLP) technologies is expected to further accelerate market growth across North America.

Key Market Players

· IBM Corporation

· Microsoft Corporation

· Google LLC

· Amazon.com Inc.

· Intel Corporation

· NVIDIA Corporation

· Oracle Corporation

· Samsung

· Llamasoft Inc.

· SAP SE

Competitive Landscape

The competitive environment of the global artificial intelligence in supply chain market has been extensively analyzed by examining leading players operating across the globe. UnivDatos’ expert research team highlights key aspects such as competitive intensity, market positioning, recent technological advancements, innovative product launches, strategic collaborations, mergers, and acquisitions. Robust research methodologies have been employed to provide in-depth insights into the global competitive scenario.

Click here to view the Report Description & Table of Contents:

https://univdatos.com/reports/artificial-intelligence-in-supply-chain-market

Key Questions Answered in the Report

• What are the emerging trends, innovations, and technological developments in the artificial intelligence in supply chain market?

• Which factors are driving and influencing market growth during the forecast period?

• What are the major risks, challenges, and threats impacting the global market?

• Which elements are accelerating or restricting the adoption of AI in supply chains?

• Which regions present the highest growth opportunities?

• What will be the projected global market size in the coming years?

• What strategic initiatives and market entry approaches are being adopted by key players?

We recognize that business requirements differ by industry, region, and geography. UnivDatos provides customized research solutions tailored to specific business objectives and regional needs. Please contact us to discuss your custom research requirements.