Global Artificial intelligence (AI) in Supply Chain and Logistics Market Growth (Status and Outlook) 2024-2030

Global Artificial intelligence (AI) in Supply Chain and Logistics Market Growth (Status and Outlook) 2024-2030

According to our LPI (LP Information) latest study, the global Artificial intelligence (AI) in Supply Chain and Logistics market size was valued at US$ 1675.7 million in 2023. With growing demand in downstream market, the Artificial intelligence (AI) in Supply Chain and Logistics is forecast to a readjusted size of US$ 3366.1 million by 2030 with a CAGR of 10.5% during review period.

The research report highlights the growth potential of the global Artificial intelligence (AI) in Supply Chain and Logistics market. Artificial intelligence (AI) in Supply Chain and Logistics are expected to show stable growth in the future market. However, product differentiation, reducing costs, and supply chain optimization remain crucial for the widespread adoption of Artificial intelligence (AI) in Supply Chain and Logistics. Market players need to invest in research and development, forge strategic partnerships, and align their offerings with evolving consumer preferences to capitalize on the immense opportunities presented by the Artificial intelligence (AI) in Supply Chain and Logistics market.

Artificial intelligence (AI) in Supply Chain and Logistics is the application of AI techniques and technologies to improve the efficiency, effectiveness, and sustainability of supply chain and logistics operations. AI can help supply chain and logistics professionals to solve complex problems, automate tasks, optimize decisions, enhance performance, and create value. AI can be applied to various aspects of supply chain and logistics, such as demand forecasting, inventory management, production planning, transportation routing, warehouse management, order fulfillment, customer service, and risk management.

As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.48%, including software, hardware and services.

Key Features:

The report on Artificial intelligence (AI) in Supply Chain and Logistics market reflects various aspects and provide valuable insights into the industry.

Market Size and Growth: The research report provide an overview of the current size and growth of the Artificial intelligence (AI) in Supply Chain and Logistics market. It may include historical data, market segmentation by Type (e.g., Artificial neural networks, Machine learning), and regional breakdowns.

Market Drivers and Challenges: The report can identify and analyse the factors driving the growth of the Artificial intelligence (AI) in Supply Chain and Logistics market, such as government regulations, environmental concerns, technological advancements, and changing consumer preferences. It can also highlight the challenges faced by the industry, including infrastructure limitations, range anxiety, and high upfront costs.

Competitive Landscape: The research report provides analysis of the competitive landscape within the Artificial intelligence (AI) in Supply Chain and Logistics market. It includes profiles of key players, their market share, strategies, and product offerings. The report can also highlight emerging players and their potential impact on the market.

Technological Developments: The research report can delve into the latest technological developments in the Artificial intelligence (AI) in Supply Chain and Logistics industry. This include advancements in Artificial intelligence (AI) in Supply Chain and Logistics technology, Artificial intelligence (AI) in Supply Chain and Logistics new entrants, Artificial intelligence (AI) in Supply Chain and Logistics new investment, and other innovations that are shaping the future of Artificial intelligence (AI) in Supply Chain and Logistics.

Downstream Procumbent Preference: The report can shed light on customer procumbent behaviour and adoption trends in the Artificial intelligence (AI) in Supply Chain and Logistics market. It includes factors influencing customer ' purchasing decisions, preferences for Artificial intelligence (AI) in Supply Chain and Logistics product.

Government Policies and Incentives: The research report analyse the impact of government policies and incentives on the Artificial intelligence (AI) in Supply Chain and Logistics market. This may include an assessment of regulatory frameworks, subsidies, tax incentives, and other measures aimed at promoting Artificial intelligence (AI) in Supply Chain and Logistics market. The report also evaluates the effectiveness of these policies in driving market growth.

Environmental Impact and Sustainability: The research report assess the environmental impact and sustainability aspects of the Artificial intelligence (AI) in Supply Chain and Logistics market.

Market Forecasts and Future Outlook: Based on the analysis conducted, the research report provide market forecasts and outlook for the Artificial intelligence (AI) in Supply Chain and Logistics industry. This includes projections of market size, growth rates, regional trends, and predictions on technological advancements and policy developments.

Recommendations and Opportunities: The report conclude with recommendations for industry stakeholders, policymakers, and investors. It highlights potential opportunities for market players to capitalize on emerging trends, overcome challenges, and contribute to the growth and development of the Artificial intelligence (AI) in Supply Chain and Logistics market.

Market Segmentation:

Artificial intelligence (AI) in Supply Chain and Logistics market is split by Type and by Application. For the period 2019-2030, the growth among segments provides accurate calculations and forecasts for consumption value by Type, and by Application in terms of value.

Segmentation by type
Artificial neural networks
Machine learning
Other

Segmentation by application
Inventory control and planning
Transportation network design
Purchasing and supply management
Demand planning and forecasting
Other

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
IBM
Google
Microsoft Corporation
Amazon Web Services Inc
Oracle Corporation
SAP
Facebook
Alibaba
Baidu
Tencent

Please note: The report will take approximately 2 business days to prepare and deliver.