Global Artificial Intelligence in Supply Chain Market

Artificial Intelligence in Supply Chain Market size was valued at US$ 4.85 Bn. in 2023 and the total revenue is expected to grow at 45.5 % through 2024 to 2030, reaching nearly US$ 67.08 Bn.

Artificial Intelligence in Supply Chain Market Overview:

The Artificial intelligence (AI) is a technology that allows machines, software, and systems to compete with human intelligence and behaviour in some areas. The AI is controlled by a system that interprets data and performs various jobs using complicated algorithms. Artificial intelligence can be used in a variety of ways throughout the supply chain, including data extraction, data analysis, supply and demand planning, and autonomous vehicle management. It can also access warehouse procedures to improve product shipping, receiving, storage, picking, and management. The enhancement of logistics can be achieved through optimising warehouse operations and distribution. Companies can use AI-based solutions to improve supply-chain management performance and quality. End-to-end visibility, demand forecasting methods, dynamic planning optimization, integrated business planning, and dimensional flow automation are just a few of the essential characteristics.To know about the Research Methodology:- Request Free Sample Report

Artificial Intelligence in Supply Chain Market Dynamics:

The requirement for transparent and observable work methods in the supply chain industry is one of the key market drivers. The rise of artificial intelligence (AI) has raised awareness of big data and analytics technologies. In the logistics industry, AI autonomous data processing is used extensively in warehouse stock management, inventory management, product safety, on-time delivery, and other areas. These are only a few of the key characteristics that are propelling Artificial Intelligence (AI) in the supply chain market forward.

Additionally, the market is being pushed by growing government standards and initiatives boosting machine automation and AI computing. AI technologies eliminate the need for human effort, allowing time and money to be saved. This operational benefit of AI technology in the supply chain business is also a constant market pusher. Large firms are stepping forward in the field of machine automation in order to lower operating costs in future sectors. Several end-user industries and the recent trends associated with them are relying on various Artificial Intelligence (AR) in supply chain market segments. Based on these recent trends, the industry is also growing.

For web-based buying, Amazon has digitized its warehouse and uses artificial reasoning processes. The day-to-day operations of smart warehouses are becoming increasingly advanced. Amazon is utilising artificial intelligence to boost consumer satisfaction. Machine learning is being used successfully by Amer Sports to increase supply chain management and certainty. The automated process has advanced tremendously owing to AI technologies.

The growing popularity of internet of things (IoT) devices and cloud computing services has the potential to transform data processing. Big data technology is frequently used in the logistics and supply chain industry. Artificial intelligence (AI) in supply chain industry trends, in particular, indicates that need for supply chain automation will continue to evolve the corporate workflow indefinitely. Machine automation will become more efficient as a result of 5G networks and IoT, driving up demand for AI-based data processing solutions.

However, Artificial Intelligence in Supply Chain Market may be hampered by the system's high operational costs. Utility costs may have a direct impact on the overhead expense of keeping them running due to the cost and energy needed.

Artificial Intelligence in Supply Chain Market Segment Analysis:

Based on the Technology, the Artificial Intelligence in Supply Chain market is sub-segmented into Machine Learning, Computer Vision, Natural Language Processing and Context-Aware Computing. The Machine Learning segment held the largest market share of xx% in 2023. This growth could be attributed to rising demand for AI-based intelligent solutions, greater government activities, and AI solutions' ability to efficiently handle and analyse large amounts of data, as well as scan, process, and respond to anomalies fast. The Computer Vision held the 2nd largest market share of xx% in 2023. Across various industrial verticals, the usage of computer vision technologies in supply chain activities is rapidly increasing. The rise of the segment is being fueled by increased knowledge of AI's benefits as well as the availability of automation.

Based on the Application, the Artificial Intelligence in Supply Chain market is sub-segmented into Supply Chain Planning, Warehouse Management, Fleet Management, Virtual Assistant, Risk Management, Inventory Management and Planning & Logistics. The Supply Chain Planning segment held the largest market share of xx% in 2023. The growing demand for improved factory scheduling and production planning, as well as the growing agility and streamlining of supply chain decision-making, can be contributed to the growth of this industry. Additionally, automating existing processes and workflows to rethink the supply chain planning model is helping to drive this segment's growth.

Regional Insights:

North America held the largest market share of xx% in 2023. The North American region's substantial share is due to the presence of developed economies focusing on improving existing supply chain solutions, as well as the presence of important participants in this industry and a strong propensity to adopt sophisticated technology.

Asia Pacific is expected to grow at a highest CAGR of xx% in the global Artificial Intelligence in Supply Chain market during the forecast period. The high growth rate is attributed to the rapid development of the region’s economy; the presence of a young and tech-savvy population in the region; the increasing popularity of the Internet of Things (IoT); the increase in disposable income; The acceptance of computer vision continues to increase; and the application of computer vision technology in many applications has been growing. In addition, artificial intelligence-based solutions and services are increasingly adopted in supply chain operations. The increase in digitalization in the region and the improvement of connectivity infrastructure also play an important role in the growth of this market in the region.

The objective of the report is to present a comprehensive analysis of the Artificial Intelligence in Supply Chain Market to the stakeholders in the industry. The past and current status of the industry with the forecasted market size and trends are presented in the report with the analysis of complicated data in simple language. The report covers all the aspects of the industry with a dedicated study of key players that include market leaders, followers, and new entrants.

PORTER, PESTEL analysis with the potential impact of micro-economic factors of the market has been presented in the report. External as well as internal factors that are supposed to affect the business positively or negatively have been analyzed, which will give a clear futuristic view of the industry to the decision-makers.

The reports also helps in understanding the Artificial Intelligence in Supply Chain Market dynamic, structure by analyzing the market segments and project the global Artificial Intelligence in Supply Chain Market size. Clear representation of competitive analysis of key players by product, price, financial position, product portfolio, growth strategies, and regional presence in the global Artificial Intelligence in Supply Chain Market make the report investor’s guide.

Artificial Intelligence in Supply Chain Market Scope: Inquire before buying

Artificial Intelligence in Supply Chain Market, by Region

North America (United States, Canada and Mexico)
Europe (UK, France, Germany, Italy, Spain, Sweden, Austria and Rest of Europe)
Asia Pacific (China, South Korea, Japan, India, Australia, Indonesia, Malaysia, Vietnam, Taiwan, Bangladesh, Pakistan and Rest of APAC)
Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A)
South America (Brazil, Argentina Rest of South America)

Artificial Intelligence in Supply Chain Market, Key Players

1. Intel Corporation
2. Amazon.com, Inc.
3. Google LLC
4. Microsoft Corporation
5. Nvidia Corporation
6. Oracle Corporation
7. IBM Corporation
8. Samsung (South Korea)
9. Lamasoft Inc.
10.SAP
11.General Electric
12.Deutsche Post AG DHL
13.Xilinx
14.Micron Technology, Inc.
15.FedEx
16.ClearMetalInc
17.C.H. Robinson
18.E2open
19.Relex Solution
20.Presenso
21.Cainiao Network
22.Splice Machine
23.Logility
24.LLamasoft Inc.
25.Micron Technology

Frequently Asked Questions:

1] What segments are covered in Market report?
Ans. The segments covered in market report are based on Offering, Application, Technology and End-User.

2] Which region is expected to hold the highest share in the Artificial Intelligence in Supply Chain Market?
Ans. North America is expected to hold the highest share in the market.

3] What is the market size of Artificial Intelligence in Supply Chain Market by 2030?
Ans. The market size of market is expected to reach US $ 67.08 Bn. by 2030.

4] Who are the top key players in the global Artificial Intelligence in Supply Chain Market?
Ans. Intel Corporation, Amazon.com, Inc., Google LLC, Microsoft Corporation, Nvidia Corporation, Oracle Corporation and IBM Corporation are the top key players in the global market.

5] What was the market size of Artificial Intelligence in Supply Chain Market in 2023?
Ans. The market size of Artificial Intelligence in Supply Chain Market in 2023 was US $ 4.85 Bn.