Report Id: SNS/ICT/2503 | July 2022 | Region: Global | 135 Pages
Report Scope & Overview:
The Artificial Intelligence (AI) in Supply Chain Market size was valued at USD 3.32 Billion in 2022 and is expected to reach USD 77.81 Billion by 2030, and grow at a CAGR of 48.32 % over the forecast period 2023-2030.
Artificial intelligence (AI) is a technology that allows robots, software, and systems to compete in some respects with human intelligence and behavior. At the heart of AI is a system that employs complex algorithms to assess data and execute many jobs. Artificial intelligence has several uses in the supply chain, including data extraction, data analysis, supply and demand planning, and autonomous vehicle operation. It also has access to warehouse operations in order to optimize product sending, receiving, storing, picking, and management.
Logistics improvement is accomplished through improving warehouse operations and distribution. AI-powered supply-chain management solutions assist firms in improving their performance and quality. Transparency from beginning to finish, demand forecasting models, dynamic planning optimization, integrated business planning, and physical flow automation are just a few of the vital features. This helps to construct effective prediction models and analysis, which aids in the study of supply chain causes and repercussions.
Data from IoT devices and other sources acquired from in-transit supply chain vehicles may offer a lot of information on the health and durability of the expensive equipment necessary to keep commodities flowing through supply networks. Machine learning provides maintenance recommendations and failure forecasts based on historical and real-time data. This allows businesses to remove cars from the supply chain before performance concerns result in a backlog of delays. AI-powered, self-driving cars will be deployed throughout supply chains in the future, thanks to advances in supply chain innovation. The present data mining and analysis capabilities of these platforms will continue to enhance the cost and efficiency of an increasingly complicated global supply chain.
Big Data is expanding.
Greater visibility and transparency in supply chain data and processes are desired.
AI adoption to improve customer service and satisfaction.
There are a limited number of AI experts.
Cloud-based Supply Chain Solutions' Growing Influence.
Expanding Demand for Intelligent Business Processes and Automation.
Improving Manufacturing Industry Operational Efficiency.
Difficulties in Integrating Data from Multiple Sources.
Concerns About Data Privacy.
IMPACT OF COVID-19:
The Just-in-time supply chain is one of the primary enterprises affected by COVID-19 in the worldwide market. All manufacturing enterprises are experiencing difficulty procuring materials needed to manufacture items and shipping their products to retailers and distributors. COVID-19, unlike other interruptions, affects every area of supply networks. Many nations banned the import and export of products and services due to government consequences like as lockdowns, resulting in a scarcity of consumer goods resources.
To ensure the delivery of important items, supply chain firms are taking all necessary precautions for employee safety, such as slowing down manufacturing lines, assigning personnel to designated work zones, and cleaning equipment between shifts. Because of the COVID-19 situation, all firms are focusing on shifting production back to the nation of origin, reducing income loss.
The market is classified into Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, and Others. The Artificial Intelligence in Supply Chain Market was led by the supply chain planning sector. This industry's growth may be attributed to the rising need for enhanced factory scheduling and production planning, as well as increased agility and optimization of supply chain decision-making. Furthermore, automating current procedures and workflows to reimagine the supply chain planning paradigm is contributing to the growth of this industry.
Artificial intelligence in the supply chain may be classified as machine learning, natural language processing, context-aware computing, and computer vision, depending on the technology. The market for computer vision is likely to expand faster. The increasing acceptance of computer vision for autonomous or semiautonomous applications in different sectors such as manufacturing and automotive is fueling this technology's rise in artificial intelligence in the supply chain industry.
The automobile sector dominates the Supply Chain Market for Artificial Intelligence. The rapidly increasing global vehicle sector is to thank for this segment's rise. The retail industry accounted for the second-largest part of the entire Supply Chain Artificial Intelligence Market. This is due to an increase in consumer retail goods demand.
KEY MARKET SEGMENTS:
On The Basis of Offering
On The Basis of Technology
Natural Language Processing
On The Basis of Application
Supply Chain Planning
On The Basis of End-user Industry
Food and Beverages
North America dominates artificial intelligence in the supply chain market and will maintain its dominance throughout the projected period due to the presence of important companies as well as developed economies concentrating on strengthening current supply chain solutions. During the projection period, Asia-Pacific will continue to have significant increases and will have the highest CAGR. This is due to the existence of a youthful and tech-savvy populace in this region, as well as the increasing prevalence of the internet of things.
Rest of Europe
Rest of Asia-Pacific
The Middle East & Africa
Rest of Middle East & Africa
Rest of Latin America
The major key players are Amazon Web Services, Inc., IBM Corporation, Intel Corporation, Logility, Inc., Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, SAP SE, Xilinx, Inc.
|Market Size in 2022||USD 3.32 Billion|
|Market Size by 2030||USD 77.81 Billion|
|CAGR||CAGR 48.32% From 2023 to 2030|
|Report Scope & Coverage||Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook|
|Key Segments||• by Offering (Hardware, Software, and Services)
• by Technology (Machine Learning, Natural Language Processing, Context-aware Computing, and Computer Vision)
• by Application (Fleet Management, Supply Chain Planning, Warehouse Management, Virtual Assistant, Risk Management, Freight Brokerage, and Others)
• by End-user Industry (Automotive, Aerospace, Manufacturing, Retail, Healthcare, consumer-packaged Goods, Food and Beverages, and Others)
|Regional Analysis/Coverage||North America (USA, Canada, Mexico), Europe
(Germany, UK, France, Italy, Spain, Netherlands,
Rest of Europe), Asia-Pacific (Japan, South Korea,
China, India, Australia, Rest of Asia-Pacific), The
Middle East & Africa (Israel, +D11UAE, South Africa,
Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America)
|Company Profiles||Amazon Web Services, Inc., IBM Corporation, Intel Corporation, Logility, Inc., Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, SAP SE, Xilinx, Inc.|
|Key Drivers||•Big Data is expanding.
•Greater visibility and transparency in supply chain data and processes are desired.
|Market Restraints||•There are a limited number of AI experts.|
Frequently Asked Questions (FAQ) :
Ans: - The Artificial Intelligence in Supply Chain Market size was valued at USD 2246.32 Million in 2021.
Ans: - Greater visibility and transparency in supply chain data and processes are desired and AI adoption to improve customer service and satisfaction.
Ans: - The segments covered in the Artificial Intelligence in Supply Chain Market report for study are on the Basis of Offering, Technology, Application, and End-user Industry.
Ans: - North America dominates artificial intelligence in the supply chain market and will maintain its dominance throughout the projected period.
Ans: - The primary growth tactics of Artificial Intelligence in Supply Chain market participants include merger and acquisition, business expansion, and product launch.
Table of Contents
1.1 Market Definition
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
4. Impact Analysis
4.1 COVID-19 Impact Analysis
4.2 Impact of Ukraine- Russia war
4.3 Impact of ongoing Recession
4.3.2 Impact on major economies
18.104.22.168 United Kingdom
22.214.171.124 South Korea
126.96.36.199 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. Artificial Intelligence in Supply Chain Market Segmentation, by Offering
9. Artificial Intelligence in Supply Chain Market Segmentation, by Technology
9.1 Machine Learning
9.2 Natural Language Processing
9.3 Context-aware Computing
9.4 Computer Vision
10. Artificial Intelligence in Supply Chain Market Segmentation, by Application
10.1 Fleet Management
10.2 Supply Chain Planning
10.3 Warehouse Management
10.4 Virtual Assistant
10.5 Risk Management
10.6 Freight Brokerage
11. Artificial Intelligence in Supply Chain Market Segmentation, by End-user Industry
11.6 Consumer-packaged Goods
11.7 Food and Beverages
12. Regional Analysis
12.2 North America
12.3.6 The Netherlands
12.3.7 Rest of Europe
12.4.2 South Korea
12.4.6 Rest of Asia-Pacific
12.5 The Middle East & Africa
12.5.3 South Africa
12.6 Latin America
12.6.3 Rest of Latin America
13. Company Profiles
13.1 Amazon Web Services, Inc.
13.1.2 Products/ Services Offered
13.1.3 SWOT Analysis
13.1.4 The SNS view
13.2 IBM Corporation
13.3 Intel Corporation
13.4 Logility, Inc.
13.5 Micron Technology, Inc.
13.6 Microsoft Corporation
13.7 NVIDIA Corporation
13.8 Oracle Corporation
13.9 SAP SE
13.10 Xilinx, Inc.
14. Competitive Landscape
14.1 Competitive Benchmarking
14.2 Market Share Analysis
14.3 Recent Developments
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