Industry Growth Insights published a new data on “Artificial Intelligence in Inventory Management Market”. The research report is titled “Artificial Intelligence in Inventory Management Market research by Types (Surveillance Systems, Autonomous Robots, Others), By Applications (Food, Medcines, Automotive, Oil & Gas, Others), By Players/Companies Microsoft, Google, SAP S.E., Salesforce, Accenture, IBM, InVerita, Inter, Matellio, RedWood, SCCG, Cogito, Altexsoft, Remi AI, Maruti Techlabs, Marble, Whole Link Technology”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence in Inventory Management Market Research Report
By Type
Surveillance Systems, Autonomous Robots, Others
By Application
Food, Medcines, Automotive, Oil & Gas, Others
By Companies
Microsoft, Google, SAP S.E., Salesforce, Accenture, IBM, InVerita, Inter, Matellio, RedWood, SCCG, Cogito, Altexsoft, Remi AI, Maruti Techlabs, Marble, Whole Link Technology
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
187
Number of Tables & Figures
131
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence in Inventory Management Market Report Segments:
The global Artificial Intelligence in Inventory Management market is segmented on the basis of:
Types
Surveillance Systems, Autonomous Robots, Others
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Food, Medcines, Automotive, Oil & Gas, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Microsoft
- SAP S.E.
- Salesforce
- Accenture
- IBM
- InVerita
- Inter
- Matellio
- RedWood
- SCCG
- Cogito
- Altexsoft
- Remi AI
- Maruti Techlabs
- Marble
- Whole Link Technology
Highlights of The Artificial Intelligence in Inventory Management Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Surveillance Systems
- Autonomous Robots
- Others
- By Application:
- Food
- Medcines
- Automotive
- Oil & Gas
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence in Inventory Management Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence (AI) is a computer science technique that allows machines to u201clearnu201d from data and make decisions on their own. In inventory management, AI can be used to help identify and track stock levels, predict when items will need to be replaced or restocked, and recommend actions such as ordering new inventory or adjusting current stock levels.
Some of the major companies in the artificial intelligence in inventory management market are Microsoft, Google, SAP S.E., Salesforce, Accenture, IBM, InVerita, Inter, Matellio, RedWood, SCCG, Cogito, Altexsoft, Remi AI, Maruti Techlabs, Marble, Whole Link Technology.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence in Inventory Management Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Artificial Intelligence in Inventory Management Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Artificial Intelligence in Inventory Management Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Artificial Intelligence in Inventory Management Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Artificial Intelligence in Inventory Management Market Size & Forecast, 2018-2028 4.5.1 Artificial Intelligence in Inventory Management Market Size and Y-o-Y Growth 4.5.2 Artificial Intelligence in Inventory Management Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence in Inventory Management Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence in Inventory Management Market Size Forecast by Type
5.2.1 Surveillance Systems
5.2.2 Autonomous Robots
5.2.3 Others
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence in Inventory Management Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence in Inventory Management Market Size Forecast by Applications
6.2.1 Food
6.2.2 Medcines
6.2.3 Automotive
6.2.4 Oil & Gas
6.2.5 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence in Inventory Management Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence in Inventory Management Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence in Inventory Management Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence in Inventory Management Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence in Inventory Management Market Size Forecast by Type
9.6.1 Surveillance Systems
9.6.2 Autonomous Robots
9.6.3 Others
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence in Inventory Management Market Size Forecast by Applications
9.10.1 Food
9.10.2 Medcines
9.10.3 Automotive
9.10.4 Oil & Gas
9.10.5 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence in Inventory Management Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence in Inventory Management Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence in Inventory Management Market Size Forecast by Type
10.6.1 Surveillance Systems
10.6.2 Autonomous Robots
10.6.3 Others
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence in Inventory Management Market Size Forecast by Applications
10.10.1 Food
10.10.2 Medcines
10.10.3 Automotive
10.10.4 Oil & Gas
10.10.5 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence in Inventory Management Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence in Inventory Management Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence in Inventory Management Market Size Forecast by Type
11.6.1 Surveillance Systems
11.6.2 Autonomous Robots
11.6.3 Others
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence in Inventory Management Market Size Forecast by Applications
11.10.1 Food
11.10.2 Medcines
11.10.3 Automotive
11.10.4 Oil & Gas
11.10.5 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence in Inventory Management Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence in Inventory Management Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence in Inventory Management Market Size Forecast by Type
12.6.1 Surveillance Systems
12.6.2 Autonomous Robots
12.6.3 Others
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence in Inventory Management Market Size Forecast by Applications
12.10.1 Food
12.10.2 Medcines
12.10.3 Automotive
12.10.4 Oil & Gas
12.10.5 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence in Inventory Management Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence in Inventory Management Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence in Inventory Management Market Size Forecast by Type
13.6.1 Surveillance Systems
13.6.2 Autonomous Robots
13.6.3 Others
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence in Inventory Management Market Size Forecast by Applications
13.10.1 Food
13.10.2 Medcines
13.10.3 Automotive
13.10.4 Oil & Gas
13.10.5 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence in Inventory Management Market: Competitive Dashboard
14.2 Global Artificial Intelligence in Inventory Management Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Microsoft
14.3.2 Google
14.3.3 SAP S.E.
14.3.4 Salesforce
14.3.5 Accenture
14.3.6 IBM
14.3.7 InVerita
14.3.8 Inter
14.3.9 Matellio
14.3.10 RedWood
14.3.11 SCCG
14.3.12 Cogito
14.3.13 Altexsoft
14.3.14 Remi AI
14.3.15 Maruti Techlabs
14.3.16 Marble
14.3.17 Whole Link Technology