
Highlights
The global Artificial Intelligence in Inventory Management market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Artificial Intelligence in Inventory Management is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Artificial Intelligence in Inventory Management is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Artificial Intelligence in Inventory Management in Food is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Artificial Intelligence in Inventory Management include Microsoft, Google, SAP S.E., Salesforce, Accenture, IBM, InVerita, Inter and Matellio, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Inventory Management, 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.
The Artificial Intelligence in Inventory Management market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence in Inventory Management market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence in Inventory Management companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
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
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence in Inventory Management companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: 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 5: 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 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence in Inventory Management Market Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Surveillance Systems
1.2.3 Autonomous Robots
1.2.4 Others
1.3 Market by Application
1.3.1 Global Artificial Intelligence in Inventory Management Market Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Food
1.3.3 Medcines
1.3.4 Automotive
1.3.5 Oil & Gas
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Inventory Management Market Perspective (2018-2029)
2.2 Artificial Intelligence in Inventory Management Growth Trends by Region
2.2.1 Global Artificial Intelligence in Inventory Management Market Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence in Inventory Management Historic Market Size by Region (2018-2023)
2.2.3 Artificial Intelligence in Inventory Management Forecasted Market Size by Region (2024-2029)
2.3 Artificial Intelligence in Inventory Management Market Dynamics
2.3.1 Artificial Intelligence in Inventory Management Industry Trends
2.3.2 Artificial Intelligence in Inventory Management Market Drivers
2.3.3 Artificial Intelligence in Inventory Management Market Challenges
2.3.4 Artificial Intelligence in Inventory Management Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in Inventory Management Players by Revenue
3.1.1 Global Top Artificial Intelligence in Inventory Management Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence in Inventory Management Revenue Market Share by Players (2018-2023)
3.2 Global Artificial Intelligence in Inventory Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in Inventory Management Revenue
3.4 Global Artificial Intelligence in Inventory Management Market Concentration Ratio
3.4.1 Global Artificial Intelligence in Inventory Management Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Inventory Management Revenue in 2022
3.5 Artificial Intelligence in Inventory Management Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in Inventory Management Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in Inventory Management Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Inventory Management Breakdown Data by Type
4.1 Global Artificial Intelligence in Inventory Management Historic Market Size by Type (2018-2023)
4.2 Global Artificial Intelligence in Inventory Management Forecasted Market Size by Type (2024-2029)
5 Artificial Intelligence in Inventory Management Breakdown Data by Application
5.1 Global Artificial Intelligence in Inventory Management Historic Market Size by Application (2018-2023)
5.2 Global Artificial Intelligence in Inventory Management Forecasted Market Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence in Inventory Management Market Size (2018-2029)
6.2 North America Artificial Intelligence in Inventory Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence in Inventory Management Market Size by Country (2018-2023)
6.4 North America Artificial Intelligence in Inventory Management Market Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Inventory Management Market Size (2018-2029)
7.2 Europe Artificial Intelligence in Inventory Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence in Inventory Management Market Size by Country (2018-2023)
7.4 Europe Artificial Intelligence in Inventory Management Market Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Inventory Management Market Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence in Inventory Management Market Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence in Inventory Management Market Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence in Inventory Management Market Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence in Inventory Management Market Size (2018-2029)
9.2 Latin America Artificial Intelligence in Inventory Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence in Inventory Management Market Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence in Inventory Management Market Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Inventory Management Market Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence in Inventory Management Market Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence in Inventory Management Market Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence in Inventory Management Market Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Microsoft
11.1.1 Microsoft Company Detail
11.1.2 Microsoft Business Overview
11.1.3 Microsoft Artificial Intelligence in Inventory Management Introduction
11.1.4 Microsoft Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.1.5 Microsoft Recent Development
11.2 Google
11.2.1 Google Company Detail
11.2.2 Google Business Overview
11.2.3 Google Artificial Intelligence in Inventory Management Introduction
11.2.4 Google Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.2.5 Google Recent Development
11.3 SAP S.E.
11.3.1 SAP S.E. Company Detail
11.3.2 SAP S.E. Business Overview
11.3.3 SAP S.E. Artificial Intelligence in Inventory Management Introduction
11.3.4 SAP S.E. Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.3.5 SAP S.E. Recent Development
11.4 Salesforce
11.4.1 Salesforce Company Detail
11.4.2 Salesforce Business Overview
11.4.3 Salesforce Artificial Intelligence in Inventory Management Introduction
11.4.4 Salesforce Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.4.5 Salesforce Recent Development
11.5 Accenture
11.5.1 Accenture Company Detail
11.5.2 Accenture Business Overview
11.5.3 Accenture Artificial Intelligence in Inventory Management Introduction
11.5.4 Accenture Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.5.5 Accenture Recent Development
11.6 IBM
11.6.1 IBM Company Detail
11.6.2 IBM Business Overview
11.6.3 IBM Artificial Intelligence in Inventory Management Introduction
11.6.4 IBM Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.6.5 IBM Recent Development
11.7 InVerita
11.7.1 InVerita Company Detail
11.7.2 InVerita Business Overview
11.7.3 InVerita Artificial Intelligence in Inventory Management Introduction
11.7.4 InVerita Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.7.5 InVerita Recent Development
11.8 Inter
11.8.1 Inter Company Detail
11.8.2 Inter Business Overview
11.8.3 Inter Artificial Intelligence in Inventory Management Introduction
11.8.4 Inter Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.8.5 Inter Recent Development
11.9 Matellio
11.9.1 Matellio Company Detail
11.9.2 Matellio Business Overview
11.9.3 Matellio Artificial Intelligence in Inventory Management Introduction
11.9.4 Matellio Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.9.5 Matellio Recent Development
11.10 RedWood
11.10.1 RedWood Company Detail
11.10.2 RedWood Business Overview
11.10.3 RedWood Artificial Intelligence in Inventory Management Introduction
11.10.4 RedWood Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.10.5 RedWood Recent Development
11.11 SCCG
11.11.1 SCCG Company Detail
11.11.2 SCCG Business Overview
11.11.3 SCCG Artificial Intelligence in Inventory Management Introduction
11.11.4 SCCG Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.11.5 SCCG Recent Development
11.12 Cogito
11.12.1 Cogito Company Detail
11.12.2 Cogito Business Overview
11.12.3 Cogito Artificial Intelligence in Inventory Management Introduction
11.12.4 Cogito Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.12.5 Cogito Recent Development
11.13 Altexsoft
11.13.1 Altexsoft Company Detail
11.13.2 Altexsoft Business Overview
11.13.3 Altexsoft Artificial Intelligence in Inventory Management Introduction
11.13.4 Altexsoft Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.13.5 Altexsoft Recent Development
11.14 Remi AI
11.14.1 Remi AI Company Detail
11.14.2 Remi AI Business Overview
11.14.3 Remi AI Artificial Intelligence in Inventory Management Introduction
11.14.4 Remi AI Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.14.5 Remi AI Recent Development
11.15 Maruti Techlabs
11.15.1 Maruti Techlabs Company Detail
11.15.2 Maruti Techlabs Business Overview
11.15.3 Maruti Techlabs Artificial Intelligence in Inventory Management Introduction
11.15.4 Maruti Techlabs Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.15.5 Maruti Techlabs Recent Development
11.16 Marble
11.16.1 Marble Company Detail
11.16.2 Marble Business Overview
11.16.3 Marble Artificial Intelligence in Inventory Management Introduction
11.16.4 Marble Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.16.5 Marble Recent Development
11.17 Whole Link Technology
11.17.1 Whole Link Technology Company Detail
11.17.2 Whole Link Technology Business Overview
11.17.3 Whole Link Technology Artificial Intelligence in Inventory Management Introduction
11.17.4 Whole Link Technology Revenue in Artificial Intelligence in Inventory Management Business (2018-2023)
11.17.5 Whole Link Technology Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
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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*If Applicable.
