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人工智能 DL/ML

市場調查報告書

商品編碼

1915693

2025-2029年全球零售業機器學習趨勢

Global Machine Learning In Retail Market 2025-2029

出版日期: 2026年01月19日 | 出版商:

TechNavio | 英文 294 Pages | 訂單完成後即時交付

價格

簡介目錄

預計2024年至2029年，全球零售業機器學習市場規模將成長222.603億美元，預測期內複合年成長率（CAGR）為32.7%。本報告對全球零售業機器學習市場進行了全面分析，包括市場規模及預測、趨勢、成長要素和挑戰，以及對約25家公司的供應商分析。

本報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析。市場成長要素包括高度個人化和客戶體驗提升的興起、對供應鏈和營運效率的需求，以及生成式人工智慧和互動式商務的興起。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含全面的市場規模數據、區域細分分析、供應商格局以及對主要企業的分析。報告提供歷史數據和預測數據。

市場覆蓋範圍
基準年	2025
目標期	2029
預測期	2025-2029
成長勢頭	加速度
同比	30.7%
複合年成長率	32.7%
增量	222.603億美元

該研究指出，由生成式人工智慧驅動的大規模超個人化是未來幾年推動全球零售市場機器學習成長的關鍵因素之一。此外，人工智慧驅動的自主營運、強大的供應鏈管理以及電腦視覺在店內分析和無縫購物方面的廣泛應用，預計也將創造巨大的市場需求。

區域細分
區域比較
北美洲
- 美國
- 加拿大
- 墨西哥
歐洲
- 德國
- 英國
- 法國
- 義大利
- 西班牙
- 荷蘭
亞太地區
- 中國
- 日本
- 印度
- 韓國
- 澳洲
- 印尼
中東和非洲
- 沙烏地阿拉伯
- 阿拉伯聯合大公國
- 南非
- 以色列
- 土耳其
南美洲
- 巴西
- 哥倫比亞
- 阿根廷
各區域的市場機遇

第12章：促進因素、挑戰與機遇

市場促進因素
市場挑戰
促進因素和挑戰的影響
市場機遇

第13章競爭格局

概述
競爭格局
令人困惑的局面
產業風險

第14章競爭分析

公司簡介
企業排名指數
公司市場定位
Algolia Inc.
Amazon Web Services Inc.
BloomReach Inc.
Blue Yonder Group Inc.
Consultadoria e Inovacao Tecnologica SA
Databricks Inc.
Google Cloud
H2O.ai Inc.
Microsoft Corp.
Oracle Corp.
Stylumia Intelligence Technology Pvt Ltd
Teradata Corp.
Walmart Inc.

第15章附錄

簡介目錄

Product Code: IRTNTR81088

The global machine learning in retail market is forecasted to grow by USD 22260.3 mn during 2024-2029, accelerating at a CAGR of 32.7% during the forecast period. The report on the global machine learning in retail market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by proliferation of hyper-personalization and enhanced customer experience, imperative for supply chain and operational efficiency, ascendance of generative AI and conversational commerce.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year	2025
End Year	2029
Series Year	2025-2029
Growth Momentum	Accelerate
YOY 2025	30.7%
CAGR	32.7%
Incremental Value	$22260.3 mn

Technavio's global machine learning in retail market is segmented as below:

By Component

Software
Services

By Deployment

Cloud-based
On-premises

By End-User

FMCG
Electronics
Apparel
Others

Geography

North America
- US
- Canada
- Mexico
Europe
- Germany
- UK
- France
- Italy
- Spain
- The Netherlands
APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
Middle East and Africa
- UAE
- South Africa
- Turkey
South America
- Brazil
- Colombia
- Argentina
Rest of World (ROW)

This study identifies the hyper-personalization at scale fueled by generative AI as one of the prime reasons driving the global machine learning in retail market growth during the next few years. Also, ai-driven autonomous operations and resilient supply chain management and proliferation of computer vision for in-store analytics and frictionless commerce will lead to sizable demand in the market.

The report on the global machine learning in retail market covers the following areas:

Global machine learning in retail market sizing
Global machine learning in retail market forecast
Global machine learning in retail market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global machine learning in retail market vendors that include Adobe Inc., Algolia Inc., Amazon Web Services Inc., BloomReach Inc., Blue Yonder Group Inc., Consultadoria e Inovacao Tecnologica S.A., Databricks Inc., Google Cloud, H2O.ai Inc., Microsoft Corp., Oracle Corp., SAP SE, SAS Institute Inc., Sephora USA Inc., Snowflake Inc., Stylumia Intelligence Technology Pvt Ltd, Teradata Corp., Walmart Inc.. Also, the global machine learning in retail market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

1 Executive Summary

1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Component
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by End-user
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
2.2 Criticality of inputs and Factors of differentiation
2.3 Factors of disruption
2.4 Impact of drivers and challenges

3 Market Landscape

3.1 Market ecosystem
3.2 Market characteristics
3.3 Value chain analysis

4 Market Sizing

4.1 Market definition
4.2 Market segment analysis
- Market segments
4.3 Market size 2024
4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

5.1 Global Machine Learning In Retail Market 2019 - 2023
- Historic Market Size - Data Table on Global Machine Learning In Retail Market 2019 - 2023 ($ million)
5.2 Component segment analysis 2019 - 2023
- Historic Market Size - Component Segment 2019 - 2023 ($ million)
5.3 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
5.4 End-user segment analysis 2019 - 2023
- Historic Market Size - End-user Segment 2019 - 2023 ($ million)
5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ million)
5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
6.7 Market condition

7 Market Segmentation by Component

7.1 Market segments
7.2 Comparison by Component
7.3 Software - Market size and forecast 2024-2029
7.4 Services - Market size and forecast 2024-2029
7.5 Market opportunity by Component
- Market opportunity by Component ($ million)

8 Market Segmentation by Deployment

8.1 Market segments
8.2 Comparison by Deployment
8.3 Cloud-based - Market size and forecast 2024-2029
8.4 On-premises - Market size and forecast 2024-2029
8.5 Market opportunity by Deployment
- Market opportunity by Deployment ($ million)

9 Market Segmentation by End-user

9.1 Market segments
9.2 Comparison by End-user
9.3 FMCG - Market size and forecast 2024-2029
9.4 Electronics - Market size and forecast 2024-2029
9.5 Apparel - Market size and forecast 2024-2029
9.6 Others - Market size and forecast 2024-2029
9.7 Market opportunity by End-user
- Market opportunity by End-user ($ million)

10 Customer Landscape

10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

11.1 Geographic segmentation
11.2 Geographic comparison
11.3 North America - Market size and forecast 2024-2029
- 11.3.1 US - Market size and forecast 2024-2029
- 11.3.2 Canada - Market size and forecast 2024-2029
- 11.3.3 Mexico - Market size and forecast 2024-2029
11.4 Europe - Market size and forecast 2024-2029
- 11.4.1 Germany - Market size and forecast 2024-2029
- 11.4.2 UK - Market size and forecast 2024-2029
- 11.4.3 France - Market size and forecast 2024-2029
- 11.4.4 Italy - Market size and forecast 2024-2029
- 11.4.5 Spain - Market size and forecast 2024-2029
- 11.4.6 The Netherlands - Market size and forecast 2024-2029
11.5 APAC - Market size and forecast 2024-2029
- 11.5.1 China - Market size and forecast 2024-2029
- 11.5.2 Japan - Market size and forecast 2024-2029
- 11.5.3 India - Market size and forecast 2024-2029
- 11.5.4 South Korea - Market size and forecast 2024-2029
- 11.5.5 Australia - Market size and forecast 2024-2029
- 11.5.6 Indonesia - Market size and forecast 2024-2029
11.6 Middle East and Africa - Market size and forecast 2024-2029
- 11.6.1 Saudi Arabia - Market size and forecast 2024-2029
- 11.6.2 UAE - Market size and forecast 2024-2029
- 11.6.3 South Africa - Market size and forecast 2024-2029
- 11.6.4 Israel - Market size and forecast 2024-2029
- 11.6.5 Turkey - Market size and forecast 2024-2029
11.7 South America - Market size and forecast 2024-2029
- 11.7.1 Brazil - Market size and forecast 2024-2029
- 11.7.2 Colombia - Market size and forecast 2024-2029
- 11.7.3 Argentina - Market size and forecast 2024-2029
11.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

12.1 Market drivers
- Proliferation of hyper-personalization and enhanced customer experience
- Imperative for supply chain and operational efficiency
- Ascendance of generative AI and conversational commerce
12.2 Market challenges
- Data privacy, security, and regulatory compliance
- High implementation costs and scarcity of specialized talent
- Integration complexity, model interpretability, and ethical concerns
12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
12.4 Market opportunities
- Hyper-personalization at scale fueled by generative AI
- AI-driven autonomous operations and resilient supply chain management
- Proliferation of computer vision for in-store analytics and frictionless commerce

13 Competitive Landscape

13.1 Overview
13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
13.3 Landscape disruption
- Overview on factors of disruption
13.4 Industry risks
- Impact of key risks on business

14 Competitive Analysis

14.1 Companies profiled
- Companies covered
14.2 Company ranking index
- Company ranking index
14.3 Market positioning of companies
- Matrix on companies position and classification
14.4 Algolia Inc.
- Algolia Inc. - Overview
- Algolia Inc. - Product / Service
- Algolia Inc. - Key offerings
- SWOT
14.5 Amazon Web Services Inc.
- Amazon Web Services Inc. - Overview
- Amazon Web Services Inc. - Product / Service
- Amazon Web Services Inc. - Key news
- Amazon Web Services Inc. - Key offerings
- SWOT
14.6 BloomReach Inc.
- BloomReach Inc. - Overview
- BloomReach Inc. - Product / Service
- BloomReach Inc. - Key offerings
- SWOT
14.7 Blue Yonder Group Inc.
- Blue Yonder Group Inc. - Overview
- Blue Yonder Group Inc. - Product / Service
- Blue Yonder Group Inc. - Key offerings
- SWOT
14.8 Consultadoria e Inovacao Tecnologica S.A.
- Consultadoria e Inovacao Tecnologica S.A. - Overview
- Consultadoria e Inovacao Tecnologica S.A. - Product / Service
- Consultadoria e Inovacao Tecnologica S.A. - Key offerings
- SWOT
14.9 Databricks Inc.
- Databricks Inc. - Overview
- Databricks Inc. - Product / Service
- Databricks Inc. - Key offerings
- SWOT
14.10 Google Cloud
- Google Cloud - Overview
- Google Cloud - Product / Service
- Google Cloud - Key offerings
- SWOT
14.11 H2O.ai Inc.
- H2O.ai Inc. - Overview
- H2O.ai Inc. - Product / Service
- H2O.ai Inc. - Key offerings
- SWOT
14.12 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
14.13 Oracle Corp.
- Oracle Corp. - Overview
- Oracle Corp. - Business segments
- Oracle Corp. - Key news
- Oracle Corp. - Key offerings
- Oracle Corp. - Segment focus
- SWOT
14.14 Stylumia Intelligence Technology Pvt Ltd
- Stylumia Intelligence Technology Pvt Ltd - Overview
- Stylumia Intelligence Technology Pvt Ltd - Product / Service
- Stylumia Intelligence Technology Pvt Ltd - Key offerings
- SWOT
14.15 Teradata Corp.
- Teradata Corp. - Overview
- Teradata Corp. - Business segments
- Teradata Corp. - Key news
- Teradata Corp. - Key offerings
- Teradata Corp. - Segment focus
- SWOT
14.16 Walmart Inc.
- Walmart Inc. - Overview
- Walmart Inc. - Business segments
- Walmart Inc. - Key news
- Walmart Inc. - Key offerings
- Walmart Inc. - Segment focus
- SWOT

15 Appendix

15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
15.3 Currency conversion rates for US$
- Currency conversion rates for US$
15.4 Research methodology
- Research methodology
15.5 Data procurement
- Information sources
15.6 Data validation
- Data validation
15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
15.8 Data synthesis
- Data synthesis
15.9 360 degree market analysis
- 360 degree market analysis
15.10 List of abbreviations
- List of abbreviations