Artificial Intelligence in Inventory Management - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB511244464

Publication Date:

November 4, 2024

Pages:

128

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for Artificial Intelligence in Inventory Management was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % during the forecast period 2024-2030.
China and the United States are two leaders in AI industry. On the AI 100 list (2022) released by CB Insights, the number of companies in the United States ranks first, with more than 70 companies, followed by the United Kingdom, with 8 companies on the list. China and Canada both holds 5 companies on the list. According to data from the China Academy of Information and Communications Technology, the scale of China's core artificial intelligence industry reached 楼508 billion in 2022, a year-on-year increase of 18%. From 2013 to November 2022, the cumulative number of patent applications for artificial intelligence inventions in the world reached 729,000, and the cumulative number of applications in China reached 389,000, accounting for 53.4%. However, the Global Artificial Intelligence Innovation Index Report 2021 released by the China Institute of Scientific and Technological Information shows that the overall strength of the United States is still far ahead. The number of artificial intelligence companies in the United States is about 4,670, while China has only 880. China's data center is less than 1/51 of that of the United States.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Inventory Management, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence in Inventory Management by region & country, by Type, and by Application.
The Artificial Intelligence in Inventory Management market size, estimations, and forecasts are provided in terms of sales revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. With both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Inventory Management.
麻豆原创 Segmentation
By Company
Microsoft
Google
SAP S.E.
Salesforce
Accenture
IBM
InVerita
Inter
Matellio
RedWood
SCCG
Cogito
Altexsoft
Remi AI
Maruti Techlabs
Marble
Whole Link Technology
Segment by Type:
Surveillance Systems
Autonomous Robots
Others
Segment by Application
Food
Medcines
Automotive
Oil & Gas
Others
By Region
North America
U.S.
Canada
Europe
Germany
France
U.K.
Italy
Russia
Asia-Pacific
China
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America
Mexico
Brazil
Argentina
Middle East & Africa
Turkey
Saudi Arabia
UAE
Chapter Outline
Chapter 1: Introduces the report scope of the report, global total market size. This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.
Chapter 2: Detailed analysis of Artificial Intelligence in Inventory Management manufacturers competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 3: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 5: Revenue of Artificial Intelligence in Inventory Management in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world.
Chapter 6: Revenue of Artificial Intelligence in Inventory Management in country level. It provides sigmate data by Type, and by Application for each country/region.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

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Table Of Contents:

1 麻豆原创 Overview
1.1 Artificial Intelligence in Inventory Management Product Introduction
1.2 Global Artificial Intelligence in Inventory Management 麻豆原创 Size Forecast
1.3 Artificial Intelligence in Inventory Management 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence in Inventory Management Industry Trends
1.3.2 Artificial Intelligence in Inventory Management 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence in Inventory Management 麻豆原创 Challenges
1.3.4 Artificial Intelligence in Inventory Management 麻豆原创 Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence in Inventory Management Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence in Inventory Management Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence in Inventory Management Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence in Inventory Management Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence in Inventory Management
2.6 Artificial Intelligence in Inventory Management 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence in Inventory Management 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence in Inventory Management Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence in Inventory Management as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Surveillance Systems
3.1.2 Autonomous Robots
3.1.3 Others
3.2 Global Artificial Intelligence in Inventory Management Sales Value by Type
3.2.1 Global Artificial Intelligence in Inventory Management Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence in Inventory Management Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence in Inventory Management Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Food
4.1.2 Medcines
4.1.3 Automotive
4.1.4 Oil & Gas
4.1.5 Others
4.2 Global Artificial Intelligence in Inventory Management Sales Value by Application
4.2.1 Global Artificial Intelligence in Inventory Management Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence in Inventory Management Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence in Inventory Management Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence in Inventory Management Sales Value by Region
5.1.1 Global Artificial Intelligence in Inventory Management Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence in Inventory Management Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence in Inventory Management Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence in Inventory Management Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence in Inventory Management Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence in Inventory Management Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence in Inventory Management Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence in Inventory Management Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence in Inventory Management Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence in Inventory Management Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence in Inventory Management Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence in Inventory Management Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence in Inventory Management Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence in Inventory Management Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence in Inventory Management Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence in Inventory Management Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence in Inventory Management Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence in Inventory Management Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence in Inventory Management Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence in Inventory Management Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence in Inventory Management Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence in Inventory Management Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence in Inventory Management Sales Value, 2019-2030
6.5.2 China Artificial Intelligence in Inventory Management Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence in Inventory Management Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence in Inventory Management Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence in Inventory Management Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence in Inventory Management Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence in Inventory Management Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence in Inventory Management Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence in Inventory Management Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence in Inventory Management Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence in Inventory Management Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence in Inventory Management Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence in Inventory Management Sales Value, 2019-2030
6.9.2 India Artificial Intelligence in Inventory Management Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence in Inventory Management Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Microsoft
7.1.1 Microsoft Profile
7.1.2 Microsoft Main Business
7.1.3 Microsoft Artificial Intelligence in Inventory Management Products, Services and Solutions
7.1.4 Microsoft Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.1.5 Microsoft Recent Developments
7.2 Google
7.2.1 Google Profile
7.2.2 Google Main Business
7.2.3 Google Artificial Intelligence in Inventory Management Products, Services and Solutions
7.2.4 Google Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.2.5 Google Recent Developments
7.3 SAP S.E.
7.3.1 SAP S.E. Profile
7.3.2 SAP S.E. Main Business
7.3.3 SAP S.E. Artificial Intelligence in Inventory Management Products, Services and Solutions
7.3.4 SAP S.E. Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.3.5 Salesforce Recent Developments
7.4 Salesforce
7.4.1 Salesforce Profile
7.4.2 Salesforce Main Business
7.4.3 Salesforce Artificial Intelligence in Inventory Management Products, Services and Solutions
7.4.4 Salesforce Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.4.5 Salesforce Recent Developments
7.5 Accenture
7.5.1 Accenture Profile
7.5.2 Accenture Main Business
7.5.3 Accenture Artificial Intelligence in Inventory Management Products, Services and Solutions
7.5.4 Accenture Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.5.5 Accenture Recent Developments
7.6 IBM
7.6.1 IBM Profile
7.6.2 IBM Main Business
7.6.3 IBM Artificial Intelligence in Inventory Management Products, Services and Solutions
7.6.4 IBM Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.6.5 IBM Recent Developments
7.7 InVerita
7.7.1 InVerita Profile
7.7.2 InVerita Main Business
7.7.3 InVerita Artificial Intelligence in Inventory Management Products, Services and Solutions
7.7.4 InVerita Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.7.5 InVerita Recent Developments
7.8 Inter
7.8.1 Inter Profile
7.8.2 Inter Main Business
7.8.3 Inter Artificial Intelligence in Inventory Management Products, Services and Solutions
7.8.4 Inter Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.8.5 Inter Recent Developments
7.9 Matellio
7.9.1 Matellio Profile
7.9.2 Matellio Main Business
7.9.3 Matellio Artificial Intelligence in Inventory Management Products, Services and Solutions
7.9.4 Matellio Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.9.5 Matellio Recent Developments
7.10 RedWood
7.10.1 RedWood Profile
7.10.2 RedWood Main Business
7.10.3 RedWood Artificial Intelligence in Inventory Management Products, Services and Solutions
7.10.4 RedWood Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.10.5 RedWood Recent Developments
7.11 SCCG
7.11.1 SCCG Profile
7.11.2 SCCG Main Business
7.11.3 SCCG Artificial Intelligence in Inventory Management Products, Services and Solutions
7.11.4 SCCG Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.11.5 SCCG Recent Developments
7.12 Cogito
7.12.1 Cogito Profile
7.12.2 Cogito Main Business
7.12.3 Cogito Artificial Intelligence in Inventory Management Products, Services and Solutions
7.12.4 Cogito Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.12.5 Cogito Recent Developments
7.13 Altexsoft
7.13.1 Altexsoft Profile
7.13.2 Altexsoft Main Business
7.13.3 Altexsoft Artificial Intelligence in Inventory Management Products, Services and Solutions
7.13.4 Altexsoft Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.13.5 Altexsoft Recent Developments
7.14 Remi AI
7.14.1 Remi AI Profile
7.14.2 Remi AI Main Business
7.14.3 Remi AI Artificial Intelligence in Inventory Management Products, Services and Solutions
7.14.4 Remi AI Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.14.5 Remi AI Recent Developments
7.15 Maruti Techlabs
7.15.1 Maruti Techlabs Profile
7.15.2 Maruti Techlabs Main Business
7.15.3 Maruti Techlabs Artificial Intelligence in Inventory Management Products, Services and Solutions
7.15.4 Maruti Techlabs Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.15.5 Maruti Techlabs Recent Developments
7.16 Marble
7.16.1 Marble Profile
7.16.2 Marble Main Business
7.16.3 Marble Artificial Intelligence in Inventory Management Products, Services and Solutions
7.16.4 Marble Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.16.5 Marble Recent Developments
7.17 Whole Link Technology
7.17.1 Whole Link Technology Profile
7.17.2 Whole Link Technology Main Business
7.17.3 Whole Link Technology Artificial Intelligence in Inventory Management Products, Services and Solutions
7.17.4 Whole Link Technology Artificial Intelligence in Inventory Management Revenue (US$ Million) & (2019-2024)
7.17.5 Whole Link Technology Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence in Inventory Management Industrial Chain
8.2 Artificial Intelligence in Inventory Management Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence in Inventory Management Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence in Inventory Management Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.2 Data Source
10.2 Author Details
10.3 Disclaimer

Companies Mentioned:

Microsoft
Google
SAP S.E.
Salesforce
Accenture
IBM
InVerita
Inter
Matellio
RedWood
SCCG
Cogito
Altexsoft
Remi AI
Maruti Techlabs
Marble
Whole Link Technology

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