Global AI Driven Retail Automation Software Market Research Report 2025

Publication ID:

PB502253160

Publication Date:

February 28, 2025

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Computing & Electronics [3]

Description:

The global market for AI Driven Retail Automation Software was valued at US$ 358 million in the year 2024 and is projected to reach a revised size of US$ 964 million by 2031, growing at a CAGR of 15.5% during the forecast period.
AI Driven Retail Automation Software is an intelligent system that uses artificial intelligence technologies such as machine learning, data analysis, and predictive algorithms to optimize retail inventory management. It helps retailers reduce inventory backlogs, avoid out-of-stocks, improve operational efficiency, and optimize supply chain management by monitoring inventory levels in real time, analyzing sales data, predicting demand trends, and automating replenishment decisions. The software is widely used in physical retail stores, e-commerce platforms, and supermarket chains to achieve precise and intelligent inventory control.
North American market for AI Driven Retail Automation Software is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for AI Driven Retail Automation Software is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for AI Driven Retail Automation Software in Convenience Stores is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of AI Driven Retail Automation Software include Oracle, Google Cloud, Zebra Technologies, SAS Institute, SymphonyAI, Trax Retail, RELEX Solutions, Centric, Pensa Systems, Shelf Engine, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for AI Driven Retail Automation Software, 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 AI Driven Retail Automation Software.
The AI Driven Retail Automation Software market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global AI Driven Retail Automation Software 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 AI Driven Retail Automation Software 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.
Market Segmentation
By Company
Oracle
Google Cloud
Zebra Technologies
SAS Institute
SymphonyAI
Trax Retail
RELEX Solutions
Centric
Pensa Systems
Shelf Engine
Focal Systems
LEAFIO AI
traceCORE
ShelfView
Chooch
Segment by Type
Cloud-based
On-premises
Segment by Application
Convenience Stores
Large Supermarkets
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by 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 AI Driven Retail Automation Software company 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 main companies in the market in detail, including product sales, revenue, price, 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.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global AI Driven Retail Automation Software Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Cloud-based
1.2.3 On-premises
1.3 Market by Application
1.3.1 Global AI Driven Retail Automation Software Market Growth by Application: 2020 VS 2024 VS 2031
1.3.2 Convenience Stores
1.3.3 Large Supermarkets
1.3.4 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI Driven Retail Automation Software Market Perspective (2020-2031)
2.2 Global AI Driven Retail Automation Software Growth Trends by Region
2.2.1 Global AI Driven Retail Automation Software Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 AI Driven Retail Automation Software Historic Market Size by Region (2020-2025)
2.2.3 AI Driven Retail Automation Software Forecasted Market Size by Region (2026-2031)
2.3 AI Driven Retail Automation Software Market Dynamics
2.3.1 AI Driven Retail Automation Software Industry Trends
2.3.2 AI Driven Retail Automation Software Market Drivers
2.3.3 AI Driven Retail Automation Software Market Challenges
2.3.4 AI Driven Retail Automation Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI Driven Retail Automation Software Players by Revenue
3.1.1 Global Top AI Driven Retail Automation Software Players by Revenue (2020-2025)
3.1.2 Global AI Driven Retail Automation Software Revenue Market Share by Players (2020-2025)
3.2 Global Top AI Driven Retail Automation Software Players by Company Type and Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI Driven Retail Automation Software Revenue
3.4 Global AI Driven Retail Automation Software Market Concentration Ratio
3.4.1 Global AI Driven Retail Automation Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI Driven Retail Automation Software Revenue in 2024
3.5 Global Key Players of AI Driven Retail Automation Software Head office and Area Served
3.6 Global Key Players of AI Driven Retail Automation Software, Product and Application
3.7 Global Key Players of AI Driven Retail Automation Software, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI Driven Retail Automation Software Breakdown Data by Type
4.1 Global AI Driven Retail Automation Software Historic Market Size by Type (2020-2025)
4.2 Global AI Driven Retail Automation Software Forecasted Market Size by Type (2026-2031)
5 AI Driven Retail Automation Software Breakdown Data by Application
5.1 Global AI Driven Retail Automation Software Historic Market Size by Application (2020-2025)
5.2 Global AI Driven Retail Automation Software Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America AI Driven Retail Automation Software Market Size (2020-2031)
6.2 North America AI Driven Retail Automation Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America AI Driven Retail Automation Software Market Size by Country (2020-2025)
6.4 North America AI Driven Retail Automation Software Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI Driven Retail Automation Software Market Size (2020-2031)
7.2 Europe AI Driven Retail Automation Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe AI Driven Retail Automation Software Market Size by Country (2020-2025)
7.4 Europe AI Driven Retail Automation Software Market Size by Country (2026-2031)
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 AI Driven Retail Automation Software Market Size (2020-2031)
8.2 Asia-Pacific AI Driven Retail Automation Software Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific AI Driven Retail Automation Software Market Size by Region (2020-2025)
8.4 Asia-Pacific AI Driven Retail Automation Software Market Size by Region (2026-2031)
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 AI Driven Retail Automation Software Market Size (2020-2031)
9.2 Latin America AI Driven Retail Automation Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America AI Driven Retail Automation Software Market Size by Country (2020-2025)
9.4 Latin America AI Driven Retail Automation Software Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI Driven Retail Automation Software Market Size (2020-2031)
10.2 Middle East & Africa AI Driven Retail Automation Software Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa AI Driven Retail Automation Software Market Size by Country (2020-2025)
10.4 Middle East & Africa AI Driven Retail Automation Software Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Oracle
11.1.1 Oracle Company Details
11.1.2 Oracle Business Overview
11.1.3 Oracle AI Driven Retail Automation Software Introduction
11.1.4 Oracle Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.1.5 Oracle Recent Development
11.2 Google Cloud
11.2.1 Google Cloud Company Details
11.2.2 Google Cloud Business Overview
11.2.3 Google Cloud AI Driven Retail Automation Software Introduction
11.2.4 Google Cloud Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.2.5 Google Cloud Recent Development
11.3 Zebra Technologies
11.3.1 Zebra Technologies Company Details
11.3.2 Zebra Technologies Business Overview
11.3.3 Zebra Technologies AI Driven Retail Automation Software Introduction
11.3.4 Zebra Technologies Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.3.5 Zebra Technologies Recent Development
11.4 SAS Institute
11.4.1 SAS Institute Company Details
11.4.2 SAS Institute Business Overview
11.4.3 SAS Institute AI Driven Retail Automation Software Introduction
11.4.4 SAS Institute Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.4.5 SAS Institute Recent Development
11.5 SymphonyAI
11.5.1 SymphonyAI Company Details
11.5.2 SymphonyAI Business Overview
11.5.3 SymphonyAI AI Driven Retail Automation Software Introduction
11.5.4 SymphonyAI Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.5.5 SymphonyAI Recent Development
11.6 Trax Retail
11.6.1 Trax Retail Company Details
11.6.2 Trax Retail Business Overview
11.6.3 Trax Retail AI Driven Retail Automation Software Introduction
11.6.4 Trax Retail Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.6.5 Trax Retail Recent Development
11.7 RELEX Solutions
11.7.1 RELEX Solutions Company Details
11.7.2 RELEX Solutions Business Overview
11.7.3 RELEX Solutions AI Driven Retail Automation Software Introduction
11.7.4 RELEX Solutions Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.7.5 RELEX Solutions Recent Development
11.8 Centric
11.8.1 Centric Company Details
11.8.2 Centric Business Overview
11.8.3 Centric AI Driven Retail Automation Software Introduction
11.8.4 Centric Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.8.5 Centric Recent Development
11.9 Pensa Systems
11.9.1 Pensa Systems Company Details
11.9.2 Pensa Systems Business Overview
11.9.3 Pensa Systems AI Driven Retail Automation Software Introduction
11.9.4 Pensa Systems Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.9.5 Pensa Systems Recent Development
11.10 Shelf Engine
11.10.1 Shelf Engine Company Details
11.10.2 Shelf Engine Business Overview
11.10.3 Shelf Engine AI Driven Retail Automation Software Introduction
11.10.4 Shelf Engine Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.10.5 Shelf Engine Recent Development
11.11 Focal Systems
11.11.1 Focal Systems Company Details
11.11.2 Focal Systems Business Overview
11.11.3 Focal Systems AI Driven Retail Automation Software Introduction
11.11.4 Focal Systems Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.11.5 Focal Systems Recent Development
11.12 LEAFIO AI
11.12.1 LEAFIO AI Company Details
11.12.2 LEAFIO AI Business Overview
11.12.3 LEAFIO AI AI Driven Retail Automation Software Introduction
11.12.4 LEAFIO AI Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.12.5 LEAFIO AI Recent Development
11.13 traceCORE
11.13.1 traceCORE Company Details
11.13.2 traceCORE Business Overview
11.13.3 traceCORE AI Driven Retail Automation Software Introduction
11.13.4 traceCORE Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.13.5 traceCORE Recent Development
11.14 ShelfView
11.14.1 ShelfView Company Details
11.14.2 ShelfView Business Overview
11.14.3 ShelfView AI Driven Retail Automation Software Introduction
11.14.4 ShelfView Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.14.5 ShelfView Recent Development
11.15 Chooch
11.15.1 Chooch Company Details
11.15.2 Chooch Business Overview
11.15.3 Chooch AI Driven Retail Automation Software Introduction
11.15.4 Chooch Revenue in AI Driven Retail Automation Software Business (2020-2025)
11.15.5 Chooch Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer

Companies Mentioned:

Oracle
Google Cloud
Zebra Technologies
SAS Institute
SymphonyAI
Trax Retail
RELEX Solutions
Centric
Pensa Systems
Shelf Engine
Focal Systems
LEAFIO AI
traceCORE
ShelfView
Chooch

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