Artificial Intelligence for Retail - Global 麻豆原创 Share and Ranking, Overall Sales and Demand Forecast 2024-2030

Publication ID:

PB510244828

Publication Date:

October 10, 2024

Pages:

135

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Artificial Intelligence (AI) for retail refers to the application of artificial intelligence and machine learning technologies in various aspects of the retail industry to enhance and optimize operations, customer experiences, and decision-making processes. AI is employed to analyze vast amounts of data, gain insights, and automate tasks, ultimately leading to improved efficiency, customer satisfaction, and profitability in retail businesses.
The global market for Artificial Intelligence for Retail was estimated to be worth US$ 942.3 million in 2023 and is forecast to a readjusted size of US$ 1249.7 million by 2030 with a CAGR of 3.2% during the forecast period 2024-2030
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate 鈧�9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2022. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2022, a year-on-year increase of 19.116%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Retail, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence for Retail by region & country, by Type, and by Application.
The Artificial Intelligence for Retail market size, estimations, and forecasts are provided in terms of sales revenue ($ 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 for Retail.
麻豆原创 Segmentation
By Company
Intel
Hitachi Solutions
Accenture
DataRobot
Alibaba Cloud
Microsoft AI
Fujitsu
AWS
Huawei
Oracle
Google Cloud
Haystream
Habana
IBM
SymphonyAI
NVIDIA
SAP Industry
Salesforce Inc.
Segment by Type:
Cloud-based
On-Premises
Segment by Application
SMEs
Large Enterprise
By Region
North America
United States
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 for Retail 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 for Retail 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 for Retail 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 for Retail Product Introduction
1.2 Global Artificial Intelligence for Retail 麻豆原创 Size Forecast
1.3 Artificial Intelligence for Retail 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence for Retail Industry Trends
1.3.2 Artificial Intelligence for Retail 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence for Retail 麻豆原创 Challenges
1.3.4 Artificial Intelligence for Retail 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 for Retail Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence for Retail Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence for Retail Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence for Retail Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence for Retail
2.6 Artificial Intelligence for Retail 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence for Retail 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence for Retail 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 for Retail as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Cloud-based
3.1.2 On-Premises
3.2 Global Artificial Intelligence for Retail Sales Value by Type
3.2.1 Global Artificial Intelligence for Retail Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence for Retail Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence for Retail Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 SMEs
4.1.2 Large Enterprise
4.2 Global Artificial Intelligence for Retail Sales Value by Application
4.2.1 Global Artificial Intelligence for Retail Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence for Retail Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence for Retail Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence for Retail Sales Value by Region
5.1.1 Global Artificial Intelligence for Retail Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence for Retail Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence for Retail Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence for Retail Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence for Retail Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence for Retail Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence for Retail Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence for Retail Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence for Retail Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence for Retail Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence for Retail Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence for Retail Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence for Retail Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence for Retail Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence for Retail Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence for Retail Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence for Retail Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence for Retail Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence for Retail Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence for Retail Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence for Retail Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence for Retail Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence for Retail Sales Value, 2019-2030
6.5.2 China Artificial Intelligence for Retail Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence for Retail Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence for Retail Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence for Retail Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence for Retail Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence for Retail Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence for Retail Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence for Retail Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence for Retail Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence for Retail Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence for Retail Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence for Retail Sales Value, 2019-2030
6.9.2 India Artificial Intelligence for Retail Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence for Retail Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Intel
7.1.1 Intel Profile
7.1.2 Intel Main Business
7.1.3 Intel Artificial Intelligence for Retail Products, Services and Solutions
7.1.4 Intel Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.1.5 Intel Recent Developments
7.2 Hitachi Solutions
7.2.1 Hitachi Solutions Profile
7.2.2 Hitachi Solutions Main Business
7.2.3 Hitachi Solutions Artificial Intelligence for Retail Products, Services and Solutions
7.2.4 Hitachi Solutions Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.2.5 Hitachi Solutions Recent Developments
7.3 Accenture
7.3.1 Accenture Profile
7.3.2 Accenture Main Business
7.3.3 Accenture Artificial Intelligence for Retail Products, Services and Solutions
7.3.4 Accenture Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.3.5 DataRobot Recent Developments
7.4 DataRobot
7.4.1 DataRobot Profile
7.4.2 DataRobot Main Business
7.4.3 DataRobot Artificial Intelligence for Retail Products, Services and Solutions
7.4.4 DataRobot Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.4.5 DataRobot Recent Developments
7.5 Alibaba Cloud
7.5.1 Alibaba Cloud Profile
7.5.2 Alibaba Cloud Main Business
7.5.3 Alibaba Cloud Artificial Intelligence for Retail Products, Services and Solutions
7.5.4 Alibaba Cloud Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.5.5 Alibaba Cloud Recent Developments
7.6 Microsoft AI
7.6.1 Microsoft AI Profile
7.6.2 Microsoft AI Main Business
7.6.3 Microsoft AI Artificial Intelligence for Retail Products, Services and Solutions
7.6.4 Microsoft AI Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.6.5 Microsoft AI Recent Developments
7.7 Fujitsu
7.7.1 Fujitsu Profile
7.7.2 Fujitsu Main Business
7.7.3 Fujitsu Artificial Intelligence for Retail Products, Services and Solutions
7.7.4 Fujitsu Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.7.5 Fujitsu Recent Developments
7.8 AWS
7.8.1 AWS Profile
7.8.2 AWS Main Business
7.8.3 AWS Artificial Intelligence for Retail Products, Services and Solutions
7.8.4 AWS Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.8.5 AWS Recent Developments
7.9 Huawei
7.9.1 Huawei Profile
7.9.2 Huawei Main Business
7.9.3 Huawei Artificial Intelligence for Retail Products, Services and Solutions
7.9.4 Huawei Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.9.5 Huawei Recent Developments
7.10 Oracle
7.10.1 Oracle Profile
7.10.2 Oracle Main Business
7.10.3 Oracle Artificial Intelligence for Retail Products, Services and Solutions
7.10.4 Oracle Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.10.5 Oracle Recent Developments
7.11 Google Cloud
7.11.1 Google Cloud Profile
7.11.2 Google Cloud Main Business
7.11.3 Google Cloud Artificial Intelligence for Retail Products, Services and Solutions
7.11.4 Google Cloud Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.11.5 Google Cloud Recent Developments
7.12 Haystream
7.12.1 Haystream Profile
7.12.2 Haystream Main Business
7.12.3 Haystream Artificial Intelligence for Retail Products, Services and Solutions
7.12.4 Haystream Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.12.5 Haystream Recent Developments
7.13 Habana
7.13.1 Habana Profile
7.13.2 Habana Main Business
7.13.3 Habana Artificial Intelligence for Retail Products, Services and Solutions
7.13.4 Habana Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.13.5 Habana Recent Developments
7.14 IBM
7.14.1 IBM Profile
7.14.2 IBM Main Business
7.14.3 IBM Artificial Intelligence for Retail Products, Services and Solutions
7.14.4 IBM Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.14.5 IBM Recent Developments
7.15 SymphonyAI
7.15.1 SymphonyAI Profile
7.15.2 SymphonyAI Main Business
7.15.3 SymphonyAI Artificial Intelligence for Retail Products, Services and Solutions
7.15.4 SymphonyAI Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.15.5 SymphonyAI Recent Developments
7.16 NVIDIA
7.16.1 NVIDIA Profile
7.16.2 NVIDIA Main Business
7.16.3 NVIDIA Artificial Intelligence for Retail Products, Services and Solutions
7.16.4 NVIDIA Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.16.5 NVIDIA Recent Developments
7.17 SAP Industry
7.17.1 SAP Industry Profile
7.17.2 SAP Industry Main Business
7.17.3 SAP Industry Artificial Intelligence for Retail Products, Services and Solutions
7.17.4 SAP Industry Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.17.5 SAP Industry Recent Developments
7.18 Salesforce Inc.
7.18.1 Salesforce Inc. Profile
7.18.2 Salesforce Inc. Main Business
7.18.3 Salesforce Inc. Artificial Intelligence for Retail Products, Services and Solutions
7.18.4 Salesforce Inc. Artificial Intelligence for Retail Revenue (US$ Million) & (2019-2024)
7.18.5 Salesforce Inc. Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence for Retail Industrial Chain
8.2 Artificial Intelligence for Retail 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 for Retail Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence for Retail 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:

Intel
Hitachi Solutions
Accenture
DataRobot
Alibaba Cloud
Microsoft AI
Fujitsu
AWS
Huawei
Oracle
Google Cloud
Haystream
Habana
IBM
SymphonyAI
NVIDIA
SAP Industry
Salesforce Inc.

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