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Global Artificial Intelligence in Supply Chain Market
- April 18, 2020
- ID: SR/HC-52
- Format:Pdf
- Pages:220
Global Artificial Intelligence in Supply Chain Market- By Application (Robotics & Factory Automation, Planning & Market Demand Forecast, Commerce & Financial data, Cyber Security, Customer service, Other), By Type (Software, Hardware, Others Services), By Function (On-premise, Off-premise), By End-user (Automotive, Aerospace, Building Construction, Chemical, Others), and By Region (North America, Europe, Asia Pacific, South America, and Middle East, & Africa)- Global forecast from 2020-2027.
Global Artificial Intelligence in Supply Chain Market Overview:
Modern supply chains depict complex systems of organizations, people, activities, information, and resources. These systems involve the process of transferring products or services from suppliers to customers. Supply chain management (SCM) solutions usually embodied in software architectures and schemes that promote the flow of information between different functions within and between enterprise organizations.
Global Artificial Intelligence in Supply Chain Market Insights
The global artificial intelligence in the supply chain market has the potential to grow with USD 21.2 billion and with bolstering CAGR in the forecast period from 2020-2027. AI can improve operational processes and promote cost-effective supply chain solutions. It provides an analysis of leading companies and solutions that utilize AI in the supply chain and AI managed on behalf of others and evaluates the main advantages and disadvantages of these solutions.
Leading SCM solutions to facilitate the sharing of information between organizational units and geographic locations, enabling decision-makers to view the required information across the enterprise in a timely, reliable, and consistent manner. Various forms of artificial intelligence (AI) are integrated into SCM solutions to improve everything, from process automation to overall decision-making. It includes greater data visibility (static and real-time data) and related management information system effectiveness.
Moreover, artificial intelligence improves the satisfaction of members of the supply chain, thus forming a positive feedback loop and thus improving the overall SCM performance. One of the main goals is to use AI to improve the supply chain from production to consumption in product-related industries and create opportunities to support product services in cloud-based service models. Artificial intelligence will find possibilities for members of the supply chain to control service outcomes better and control the overall product/service experience and profitability.
Furthermore, As the Internet of Things (IoT), technologies and solutions play an increasingly important role in SCM, including AI algorithms and software-driven processes in the IoT has become a valuable opportunity to leverage artificial intelligence (AIoT) in the supply chain. More specifically, AIoT solutions use IoT connectivity and communication capabilities, as well as AI’s machine learning and decision-making capabilities, as a means of optimizing SCM through data-driven hosting services.
Growth Driver
Growing Big Data
Business activities that require the collection and analysis of large amounts of structured and unstructured data can benefit from artificial intelligence. Its ability to support faster and more intelligent decision-making and, thus, forms natural matching of supply chain and artificial intelligence. The need to increase the visibility and transparency of supply chain data and processes use artificial intelligence to improve consumer services and their satisfaction.
Enhancing the decision-making capability
The awareness and ability to implement fact-based decision making that makes artificial intelligence possible is entirely new. Thus, the advancement of technology expected to create the future supply chain of perception -to be able to sense, perceive, and react to the situation at an abnormal particle level. Therefore, it helps in making a better decision for the business that improves productivity and reduces time and cost.
By Application Segmental Analysis
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 accounted for the largest share of the market expected to grow at a bolstering rate during the forecast period from 2020-2027. It is mainly owing to the one essential application in the supply chain is market demand and planning. Artificial intelligence helps in analyzing how much demand for the product will be shipped to a customer and enhance the functions and operations of the business.
By Type Segmental Analysis
Based on the type, the global Artificial Intelligence in the Supply Chain market classified into Software, Hardware, Other Services. The software field occupies the largest share of the entire AI market in the AI as a whole field. It attributed to the growing demand for AI-based platforms and solutions as it provides supply chain visibility through software, including inventory control, warehouse management, order procurement, and reverse logistics and tracking.
By Function Segmental Analysis
Based on the function, the global Artificial Intelligence in the Supply Chain market categorized into On-premise, Off-premise. The on-premise segment captures the largest share in the global artificial intelligence in the supply chain market. On-premise functions help in eliminating the contractual agreement, thus reduces cost, coupled with the emerging need for controlling the hardware led to increasing the scalability. Moreover, the data stored in the enterprise premise give full control and provide safety to data as well.
By End-user Segmental Analysis
Based on the End-user, the global Artificial Intelligence in the Supply Chain market segmented into Automotive, Aerospace, Building Construction, Chemical, Others. The others (retail) segment accounts for the largest share in the forecast period from 2020-2027 in the global artificial intelligence in the supply chain market. The artificial intelligence in the supply chain helps in growing the retail segment by enhancing the customer experience and real-time customer intelligence, forecast accurate demand. Also, it propels sales and promotion campaigns.
By Region Segmental Analysis
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 Supply Chain market. The high growth rate attributed to the region’s rapidly developing economy is owing to the proliferation of the Internet of Things (IoT) is growing, emerging disposable income and other industries in automobile, manufacturing, and retail, etc. To accept more and more modern technology and expand the implementation of computer vision technology in many applications. Also, the adoption rate of AI-based solutions and services in supply chain operations continues to increase. The increasing digitization of the region and the improvement of connected infrastructure have also played a role in the growth of the AI in the region’s supply chain market.
Competitor Analysis
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.
Key Stakeholders
- Market research and consulting firms
- Industry associations
- Global Artificial Intelligence in Supply Chain service companies
- Research organizations and consulting companies’ Artificial Intelligence in Supply Chain
- Regulatory bodies
The objective of the Research
- Market modeling starts with identifying a target market where historical data exists. A Market can include prediction problems, economic factors, analyzing customer behavior, and identifying new patterns from past events, which helps our client to have deep dive into the market.
- Product analysis involves steps such as examining product features, costs, availability, quality, and other aspects. Product analysis is conducted to understand potential buyers and measure competition in the market.
- Market Trend and Economic Factors Analysis helps in assessing potential changes to an economy’s inflation rate, taxes, interest rates, exchange rates, trading regulations, and excise duties that can or have a major effect on the target market.
- Market Segmental Analysis defines in-depth scenario of the target market by the process of grouping consumers into naturally existing created segments of consumers who share similar product preferences or characteristics
- The geographical mapping approach helps our clients to understand national or international markets because different consumers in different regions have different needs wants, and cultural characteristics that can be specifically targeted.
Market Modelling
By Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
- Other
By Type
- Software
- Hardware
- Others Services
By Function
- On-premise
- Off-premise
By End-User
- Automotive
- Aerospace
- Building Construction
- Chemical
- Others
By Region
- Europe
- North America
- Asia Pacific
- South America
- Middle East & Africa
Global Artificial Intelligence in Supply Chain Market
Report Content
- Research Strategic Development
- Market Modelling
- Product Analysis
- Market Trend and Economic Factors Analysis
- Market Segmental Analysis
- Geographical Mapping
- Country Wise Segregation
- Research Methodology
- Identification of Target Market
- Data Acquisition
- Refining of Data/ Data Transformations
- Data Validation through Primary Techniques
- Exploratory Data Analysis
- Graphical Techniques/Analysis
- Quantitative Techniques/Analysis
- Visual Result/Presentation
- Executive Summary
- Market Insights
- Economic Factor Analysis
- Drivers
- Trends
- Opportunities
- Challenges
- Competitors & Product Analysis
- Regulatory Framework
- Company market share analysis, 2019
- Porter’s Five forces analysis
- New Investment Analysis
- PESTEL Analysis
- Economic Factor Analysis
- Global Artificial Intelligence in Supply Chain Market Overview
- Market Size & Forecast, 2016-2027
- Demand
- By Value (USD Million)
- Market Share & Forecast, 2016-2027
- By Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
- Other
- By Type
- Software
- Hardware
- Others Services
- By Function
- On-premise
- Off-premise
- By End-User
- Automotive
- Aerospace
- Building Construction
- Chemical
- Others
- By Region
- Europe
- North America
- Asia Pacific
- South America
- Middle East & Africa
- By Application
- Demand
- Market Size & Forecast, 2016-2027
- Europe Artificial Intelligence in Supply Chain Market Overview
- Europe Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Demand
- By Value (USD Million)
- Europe Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027
- By Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
- Other
- By Type
- Software
- Hardware
- Others Services
- By Function
- On-premise
- Off-premise
- By End-User
- Automotive
- Aerospace
- Building Construction
- Chemical
- Others
- By Country
- Germany
- UK
- France
- Italy
- Rest of Europe
- Company Market Share (Top 3-5)
- Economic Impact Study on Europe Artificial Intelligence in Supply Chain Market
- By Application
- Demand
- Europe Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- North America Artificial Intelligence in Supply Chain Market Overview
- North America Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Demand
- By Value (USD Million)
- North America Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027
- By Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
- Other
- By Type
- Software
- Hardware
- Others Services
- By Function
- On-premise
- Off-premise
- By End-User
- Automotive
- Aerospace
- Building Construction
- Chemical
- Others
- By Country
- US
- Canada
- Mexico
- Company Market Share (Top 3-5)
- Economic Impact Study on North America Artificial Intelligence in Supply Chain Market
- By Application
- Demand
- North America Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Asia Pacific Artificial Intelligence in Supply Chain Market Overview
- Asia Pacific Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Demand
- By Value (USD Million)
- Asia Pacific Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027
- By Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
- Other
- By Type
- Software
- Hardware
- Others Services
- By Function
- On-premise
- Off-premise
- By End-User
- Automotive
- Aerospace
- Building Construction
- Chemical
- Others
- By Country
- China
- India
- Japan
- Australia
- Rest of Asia Pacific
- Company Market Share (Top 3-5)
- Economic Impact Study on Asia Pacific Artificial Intelligence in Supply Chain Market
- By Application
- Demand
- Asia Pacific Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- South America Artificial Intelligence in Supply Chain Market Overview
- South America Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Demand
- By Value (USD Million)
- South America Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027
- By Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
- Other
- By Type
- Software
- Hardware
- Others Services
- By Function
- On-premise
- Off-premise
- By End-User
- Automotive
- Aerospace
- Building Construction
- Chemical
- Others
- By Country
- Brazil
- Argentina
- Rest of South America
- Company Market Share (Top 3-5)
- Economic Impact Study on South America Artificial Intelligence in Supply Chain Market
- By Application
- Demand
- South America Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Middle East & Africa Artificial Intelligence in Supply Chain Market Overview
- Middle East & Africa Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Demand
- By Value (USD Million)
- Middle East & Africa Artificial Intelligence in Supply Chain Market Share & Forecast, 2016-2027
- By Application
- Robotics & Factory Automation
- Planning & Market Demand Forecast
- Commerce & Financial data
- Cyber Security
- Customer service
- Other
- By Type
- Software
- Hardware
- Others Services
- By Function
- On-premise
- Off-premise
- By End-User
- Automotive
- Aerospace
- Building Construction
- Chemical
- Others
- By Country
- Saudi Arabia
- UAE
- South Africa
- Rest of Middle East & Africa
- Company Market Share (Top 3-5)
- Economic Impact Study on Middle East & Africa Artificial Intelligence in Supply Chain Market
- By Application
- Demand
- Middle East & Africa Artificial Intelligence in Supply Chain Market Size & Forecast, 2016-2027
- Competitor Analysis
- Company Description
- Financial Analysis
- Key Products
- Key Management Personnel
- Contact Address
- SWOT Analysis
- Company Profile
- IBM
- Siemens
- NVIDIA
- Spotify
- Microsoft
- Intel
- Salesforce
- Shell
- GE Ventures
- Samsung
- Bloomberg Beta
- RapidMiner
- Tesla
- Other players
