The Global Artificial Intelligence in Supply chain market spurring the market growth is due to emerging big data and the need for better decision making
The global artificial intelligence in supply chain market has the potential to grow with USD 21.2 billion and with bolstering CAGR in the forecast period from 2020-2027. The growing demand for AI in the supply chain market is mainly due to the increasing awareness of artificial intelligence, big data and analysis, and the continuous expansion of the scope of computer vision in autonomous and semi-autonomous applications.
With artificial intelligence technology embedded in a self-learning supply chain, the machine will be able to check the supply chain strategy to determine the location and cause of supply chain errors, as well as related external combination factors such as loyalty, inventory levels, weather, competition Opponent's events, market performance, traffic or socio-economic events, etc. Then, machine learning algorithms will shift through the data and understand how these factors interact to cause supply chain errors.
Moreover, the growth of the supply chain department attributed to the growing demand for strengthening factory scheduling and production planning, as well as continually developing agility and optimization of supply chain decisions. Also, digitizing existing operations and workflows to reshape the supply chain planning model also contributed to the growth in this area.
Application overview in the Global Artificial Intelligence in Supply chain Market
Based on the application, the global Artificial Intelligence in the Supply Chain market segmented into Robotics & Factory Automation, Planning & Market Demand Forecast, Commerce & Financial Data, Cyber Security, Customer service, Other. The planning and market demand segment has captured the highest market value in the worldwide artificial intelligence in the supply chain in the forecast period from 2020-2027. The supply chain uses artificial intelligence for planning and forecasting market demand to enhance the future operations ad forecasting.
Type overview in the Global Artificial Intelligence in Supply Chain Market
Based on the type, the global Artificial Intelligence in the Supply Chain market classified into Software, Hardware, Other Services. The software segment will dominate the global artificial intelligence in supply chain market. It is mainly owing to providing solutions such as inventory control management, order procurement, and other functions required for the efficient supply chain management.
Function overview in the Global Artificial Intelligence in Supply Chain Market
Based on the function, the global Artificial Intelligence in the Supply Chain market categorized into On-premise, Off-premise. The on-premise segment will capture the largest share in the global artificial intelligence in supply chain market. The on-premise function helps in reducing the cost of storing data, improve flexibility, and scalability.
End-user Overview in the Global Artificial Intelligence in Supply Chain Market
Based on the End-user, the global Artificial Intelligence in Supply Chain market segmented into Automotive, Aerospace, Building Construction, Chemical, Others. The other (retail) segment will bolster the market share of the global artificial intelligence in the supply chain market. The retail sector is emerging is demand owing to improving customer experience and enhance the forecast of demand accurately.
Region Overview in the Global Artificial Intelligence in Supply Chain Market
Based on geography, the global Artificial Intelligence in Supply Chain market segmented into North America, Asia Pacific, Europe, South America, and Middle East & Africa. The Asia Pacific expected to hold the largest share of global artificial intelligence in the supply chain market. The rising disposable income, increasing penetration of the internet, and the emerging manufacturing and retail industry for improving the supply chain will fuel the market share of the global artificial intelligence in the supply chain market.
Global Artificial Intelligence in Supply Chain Market: Competitive Landscape
Companies such as IBM, Siemens, NVIDIA, Spotify, Microsoft, Google, Intel, Salesforce, Shell, GE Ventures, Samsung, Bloomberg Beta, RapidMiner, Tesla, and others are key players in the global Artificial Intelligence in Supply Chain market.
Global Artificial Intelligence in Supply Chain Market Report Content 1. Research Strategic Development 1.1. Market Modelling 1.2. Product Analysis 1.3. Market Trend and Economic Factors Analysis 1.4. Market Segmental Analysis 1.5. Geographical Mapping 1.6. Country Wise Segregation 2. Research Methodology 2.1. Identification of Target Market 2.2. Data Acquisition 2.3. Refining of Data/ Data Transformations 2.4. Data Validation through Primary Techniques 2.5. Exploratory Data Analysis 2.6. Graphical Techniques/Analysis 2.7. Quantitative Techniques/Analysis 2.8. Visual Result/Presentation 3. Executive Summary 4. Market Insights 4.1. Economic Factor Analysis 4.1.1. Drivers 4.1.2. Trends 4.1.3. Opportunities 4.1.4. Challenges 4.2. Competitors & Product Analysis 4.3. Regulatory Framework 4.4. Company market share analysis, 2019 4.5. Porter's Five forces analysis 4.6. New Investment Analysis 4.7. PESTEL Analysis 5. Global Artificial Intelligence in Supply Chain Market Overview 5.1. Market Size & Forecast, 2016-2027 5.1.1. Demand 5.1.1.1. By Value (USD Million) 5.2. Market Share & Forecast, 2016-2027 5.2.1. By Application 5.2.1.1. Robotics & Factory Automation 5.2.1.2. Planning & Market Demand Forecast 5.2.1.3. Commerce & Financial data 5.2.1.4. Cyber Security 5.2.1.5. Customer service 5.2.1.6. Other 5.2.2. By Type 5.2.2.1. Software 5.2.2.2. Hardware 5.2.2.3. Others Services 5.2.3. By Function 5.2.3.1. On-premise 5.2.3.2. Off-premise 5.2.4. By End-User 5.2.4.1. Automotive 5.2.4.2. Aerospace 5.2.4.3. Building Construction 5.2.4.4. Chemical 5.2.4.5. Others 5.2.5. By Region 5.2.5.1. Europe 5.2.5.2. North America 5.2.5.3. Asia Pacific 5.2.5.4. South America 5.2.5.5. Middle East & Africa 6. Europe Artificial Intelligence in Supply Chain Market Overview 6.1. Europe Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027 6.1.1. Demand 6.1.1.1. By Value (USD Million) 6.2. Europe Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027 6.2.1. By Application 6.2.1.1. Robotics & Factory Automation 6.2.1.2. Planning & Market Demand Forecast 6.2.1.3. Commerce & Financial data 6.2.1.4. Cyber Security 6.2.1.5. Customer service 6.2.1.6. Other 6.2.2. By Type 6.2.2.1. Software 6.2.2.2. Hardware 6.2.2.3. Others Services 6.2.3. By Function 6.2.3.1. On-premise 6.2.3.2. Off-premise 6.2.4. By End-User 6.2.4.1. Automotive 6.2.4.2. Aerospace 6.2.4.3. Building Construction 6.2.4.4. Chemical 6.2.4.5. Others 6.2.5. By Country 6.2.5.1. Germany 6.2.5.2. UK 6.2.5.3. France 6.2.5.4. Italy 6.2.5.5. Rest of Europe 6.2.6. Company Market Share (Top 3-5) 6.2.7. Economic Impact Study on Europe Artificial Intelligence in Supply Chain Market 7. North America Artificial Intelligence in Supply Chain Market Overview 7.1. North America Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027 7.1.1. Demand 7.1.1.1. By Value (USD Million) 7.2. North America Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027 7.2.1. By Application 7.2.1.1. Robotics & Factory Automation 7.2.1.2. Planning & Market Demand Forecast 7.2.1.3. Commerce & Financial data 7.2.1.4. Cyber Security 7.2.1.5. Customer service 7.2.1.6. Other 7.2.2. By Type 7.2.2.1. Software 7.2.2.2. Hardware 7.2.2.3. Others Services 7.2.3. By Function 7.2.3.1. On-premise 7.2.3.2. Off-premise 7.2.4. By End-User 7.2.4.1. Automotive 7.2.4.2. Aerospace 7.2.4.3. Building Construction 7.2.4.4. Chemical 7.2.4.5. Others 7.2.5. By Country 7.2.5.1. US 7.2.5.2. Canada 7.2.5.3. Mexico 7.2.6. Company Market Share (Top 3-5) 7.2.7. Economic Impact Study on North America Artificial Intelligence in Supply Chain Market 8. Asia Pacific Artificial Intelligence in Supply Chain Market Overview 8.1. Asia Pacific Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027 8.1.1. Demand 8.1.1.1. By Value (USD Million) 8.2. Asia Pacific Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027 8.2.1. By Application 8.2.1.1. Robotics & Factory Automation 8.2.1.2. Planning & Market Demand Forecast 8.2.1.3. Commerce & Financial data 8.2.1.4. Cyber Security 8.2.1.5. Customer service 8.2.1.6. Other 8.2.2. By Type 8.2.2.1. Software 8.2.2.2. Hardware 8.2.2.3. Others Services 8.2.3. By Function 8.2.3.1. On-premise 8.2.3.2. Off-premise 8.2.4. By End-User 8.2.4.1. Automotive 8.2.4.2. Aerospace 8.2.4.3. Building Construction 8.2.4.4. Chemical 8.2.4.5. Others 8.2.5. By Country 8.2.5.1. China 8.2.5.2. India 8.2.5.3. Japan 8.2.5.4. Australia 8.2.5.5. Rest of Asia Pacific 8.2.6. Company Market Share (Top 3-5) 8.2.7. Economic Impact Study on Asia Pacific Artificial Intelligence in Supply Chain Market 9. South America Artificial Intelligence in Supply Chain Market Overview 9.1. South America Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027 9.1.1. Demand 9.1.1.1. By Value (USD Million) 9.2. South America Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027 9.2.1. By Application 9.2.1.1. Robotics & Factory Automation 9.2.1.2. Planning & Market Demand Forecast 9.2.1.3. Commerce & Financial data 9.2.1.4. Cyber Security 9.2.1.5. Customer service 9.2.1.6. Other 9.2.2. By Type 9.2.2.1. Software 9.2.2.2. Hardware 9.2.2.3. Others Services 9.2.3. By Function 9.2.3.1. On-premise 9.2.3.2. Off-premise 9.2.4. By End-User 9.2.4.1. Automotive 9.2.4.2. Aerospace 9.2.4.3. Building Construction 9.2.4.4. Chemical 9.2.4.5. Others 9.2.5. By Country 9.2.5.1. Brazil 9.2.5.2. Argentina 9.2.5.3. Rest of South America 9.2.6. Company Market Share (Top 3-5) 9.2.7. Economic Impact Study on South America Artificial Intelligence in Supply Chain Market 10. Middle East & Africa Artificial Intelligence in Supply Chain Market Overview 10.1. Middle East & Africa Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027 10.1.1. Demand 10.1.1.1. By Value (USD Million) 10.2. Middle East & Africa Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027 10.2.1. By Application 10.2.1.1. Robotics & Factory Automation 10.2.1.2. Planning & Market Demand Forecast 10.2.1.3. Commerce & Financial data 10.2.1.4. Cyber Security 10.2.1.5. Customer service 10.2.1.6. Other 10.2.2. By Type 10.2.2.1. Software 10.2.2.2. Hardware 10.2.2.3. Others Services 10.2.3. By Function 10.2.3.1. On-premise 10.2.3.2. Off-premise 10.2.4. By End-User 10.2.4.1. Automotive 10.2.4.2. Aerospace 10.2.4.3. Building Construction 10.2.4.4. Chemical 10.2.4.5. Others 10.2.5. By Country 10.2.5.1. Saudi Arabia 10.2.5.2. UAE 10.2.5.3. South Africa 10.2.5.4. Rest of Middle East & Africa 10.2.6. Company Market Share (Top 3-5) 10.2.7. Economic Impact Study on Middle East & Africa Artificial Intelligence in Supply Chain Market 11. Competitor Analysis 11.1. Company Description 11.2. Financial Analysis 11.3. Key Products 11.4. Key Management Personnel 11.5. Contact Address 11.6. SWOT Analysis 11.7. Company Profile 11.7.1.1. IBM 11.7.1.2. Siemens 11.7.1.3. NVIDIA 11.7.1.4. Spotify 11.7.1.5. Microsoft 11.7.1.6. Google 11.7.1.7. Intel 11.7.1.8. Salesforce 11.7.1.9. Shell 11.7.1.10. GE Ventures 11.7.1.11. Samsung 11.7.1.12. Bloomberg Beta 11.7.1.13. RapidMiner 11.7.1.14. Tesla 11.7.1.15. Other players
| Price : US$ 3500 | Date : Dec 2024 |
| Category : Manufacturing and Construction | Pages : 186 |
| Price : US$ 3500 | Date : Dec 2024 |
| Category : Services | Pages : 187 |
| Price : US$ 3500 | Date : Dec 2024 |
| Category : Manufacturing and Construction | Pages : 141 |
| Price : US$ 3500 | Date : Dec 2024 |
| Category : Agriculture, Food and Beverages | Pages : 167 |
| Price : US$ 3500 | Date : Dec 2024 |
| Category : Services | Pages : 167 |
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