Artificial Intelligence in Supply Chain Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2030

Artificial Intelligence in Supply Chain Market: Global Industry Analysis, Trends, Market Size, and Forecasts up to 2030

The report on the global artificial intelligence in supply chain market provides qualitative and quantitative analysis for the period from 2021-2030. The global artificial Intelligence in supply chain market was valued at USD 2654.49 million in 2022 and is expected to reach USD 43326.92 million in 2030, with a CAGR of 36.52% during the forecast period 2023-2030. The study on artificial intelligence in supply chain market covers the analysis of the leading geographies such as North America, Europe, Asia Pacific, and RoW for the period of 2021-2030.

The term ""Artificial Intelligence in Supply Chain Market"" refers to the segment of the business and technology industry that focuses on using Artificial Intelligence (AI) technologies to improve supply chain management and logistics. This market includes products, services, and solutions offered by tech companies to help organizations optimize their supply chain operations using AI. These solutions cover various aspects like demand forecasting, inventory management, route planning, warehouse automation, and real-time tracking. Machine learning (ML) algorithms play a vital role in AI supply chain solutions, aiding in predictive analytics, anomaly detection, and pattern recognition to enhance decision-making and efficiency. This market has seen rapid growth due to its potential for cost savings, efficiency improvements, and better decision-making across industries like manufacturing, retail, healthcare, and logistics.

The increasing adoption of big data is a major driver for AI in the supply chain market. Digital transformation has generated vast amounts of data in supply chains, and AI can leverage this data for better insights and recommendations. Moreover, the growing complexity of global supply chains fuels demand for AI. These supply chains involve multiple suppliers, complex logistics networks, and varying demand patterns, making AI's visibility and control capabilities highly valuable. Additionally, rising customer expectations for faster, more reliable deliveries and improved service are met with AI-driven logistics and supply chain solutions. These technologies optimize routes, reduce delivery times, and enhance order accuracy. However, the initial investment in hardware, software, training, and consulting services can be a significant barrier to the market. Despite that, the growing need for increased efficiency, resilience, sustainability, and competitiveness in an ever-evolving global business landscape presents significant opportunities for AI in the supply chain market.

North America is expected to hold the most significant market share in the upcoming forecast period. North America, led by the United States, is a dominant player in this market. It boasts a strong tech ecosystem, with leading technology companies, research institutions, and startups focused on AI for supply chain applications. Access to capital in the region supports innovation, and high demand from businesses across sectors like e-commerce, retail, manufacturing, and logistics drives the development and adoption of AI solutions. Meanwhile, the Asia-Pacific (APAC) region is emerging as the fastest-growing market for AI in the supply chain. APAC's economic growth, expanding trade, and increasing manufacturing activities are driving the adoption of AI to enhance operational efficiency and competitiveness.

Report Findings

1) Drivers

The rise in the endorsement of big data is the major factor responsible for the adoption of ai in the supply chain market.

The growing complexity of global supply chains led to a rise in demand for the supply chain market.

2) Restraints

The initial investment in hardware, software, training, and consulting services can be a significant barrier to the market.

3) Opportunities

The growing need for increased efficiency, resilience, sustainability, and competitiveness in an ever-evolving global business landscape presents a significant opportunities for AI in the supply chain market.

Research Methodology

A) Primary Research

Our primary research involves extensive interviews and analysis of the opinions provided by the primary respondents. The primary research starts with identifying and approaching the primary respondents, the primary respondents are approached include

1. Key Opinion Leaders associated with Infinium Global Research

2. Internal and External subject matter experts

3. Professionals and participants from the industry

Our primary research respondents typically include

1. Executives working with leading companies in the market under review

2. Product/brand/marketing managers

3. CXO level executives

4. Regional/zonal/ country managers

5. Vice President level executives.

B) Secondary Research

Secondary research involves extensive exploring through the secondary sources of information available in both the public domain and paid sources. At Infinium Global Research, each research study is based on over 500 hours of secondary research accompanied by primary research. The information obtained through the secondary sources is validated through the crosscheck on various data sources.

The secondary sources of the data typically include

1. Company reports and publications

2. Government/institutional publications

3. Trade and associations journals

4. Databases such as WTO, OECD, World Bank, and among others.

5. Websites and publications by research agencies

Segment Covered

The global artificial intelligence in supply chain market is segmented on the basis of component, technology, application, and industry vertical.

The Global Artificial Intelligence in Supply Chain Market by Component

Software

Hardware

Services

The Global Artificial Intelligence in Supply Chain Market by Technology

Natural Language Processing

Machine Learning

Computer Vision

Context-aware Computing

The Global Artificial Intelligence in Supply Chain Market by Application

Risk Management

Freight Brokerage

Supply Chain Planning

Warehouse Management

Fleet Management

Virtual Assistant

Others

The Global Artificial Intelligence in Supply Chain Market by Industry Vertical

Healthcare

Retail

Automotive

Aerospace

Manufacturing

Food and Beverages

Consumer Packaged Goods

Others

Company Profiles

The companies covered in the report include

Xilinx (acquired by AMD)

Logility, Inc.

NVIDIA Corporation,

Micron Technology, Inc.

Microsoft Corporation

Amazon Web Services, Inc.

Intel Corporation

SAP SE

IBM Corporation

Oracle Corporation

What does this Report Deliver?

1. Comprehensive analysis of the global as well as regional markets of the artificial intelligence in supply chain market.

2. Complete coverage of all the segments in the artificial intelligence in supply chain market to analyze the trends, developments in the global market and forecast of market size up to 2030.

3. Comprehensive analysis of the companies operating in the global artificial intelligence in supply chain market. The company profile includes analysis of product portfolio, revenue, SWOT analysis and latest developments of the company.

4. IGR- Growth Matrix presents an analysis of the product segments and geographies that market players should focus to invest, consolidate, expand and/or diversify.