Global Artificial Intelligence for Retail 麻豆原创 Research Report 2024

Publication ID:

PB508246849

Publication Date:

August 29, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

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 Artificial Intelligence for Retail market was valued at US$ 942.3 million in 2023 and is anticipated to reach US$ 1249.7 million by 2030, witnessing 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$432.8 billion in 2022, a year-on-year increase of 19.116%, including software, hardware and services.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence for Retail, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence for Retail.
Report Scope
The Artificial Intelligence for Retail market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence for Retail 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 for Retail companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
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
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
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 Artificial Intelligence for Retail companies鈥� 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 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence for Retail 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-based
1.2.3 On-Premises
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence for Retail 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 SMEs
1.3.3 Large Enterprise
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence for Retail 麻豆原创 Perspective (2019-2030)
2.2 Artificial Intelligence for Retail Growth Trends by Region
2.2.1 Global Artificial Intelligence for Retail 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence for Retail Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial Intelligence for Retail Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial Intelligence for Retail 麻豆原创 Dynamics
2.3.1 Artificial Intelligence for Retail Industry Trends
2.3.2 Artificial Intelligence for Retail 麻豆原创 Drivers
2.3.3 Artificial Intelligence for Retail 麻豆原创 Challenges
2.3.4 Artificial Intelligence for Retail 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence for Retail Players by Revenue
3.1.1 Global Top Artificial Intelligence for Retail Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence for Retail Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence for Retail 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence for Retail Revenue
3.4 Global Artificial Intelligence for Retail 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence for Retail 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence for Retail Revenue in 2023
3.5 Artificial Intelligence for Retail Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence for Retail Product Solution and Service
3.7 Date of Enter into Artificial Intelligence for Retail 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence for Retail Breakdown Data by Type
4.1 Global Artificial Intelligence for Retail Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial Intelligence for Retail Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial Intelligence for Retail Breakdown Data by Application
5.1 Global Artificial Intelligence for Retail Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial Intelligence for Retail Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence for Retail 麻豆原创 Size (2019-2030)
6.2 North America Artificial Intelligence for Retail 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence for Retail 麻豆原创 Size by Country (2019-2024)
6.4 North America Artificial Intelligence for Retail 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence for Retail 麻豆原创 Size (2019-2030)
7.2 Europe Artificial Intelligence for Retail 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence for Retail 麻豆原创 Size by Country (2019-2024)
7.4 Europe Artificial Intelligence for Retail 麻豆原创 Size by Country (2025-2030)
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 for Retail 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence for Retail 麻豆原创 Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence for Retail 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence for Retail 麻豆原创 Size by Region (2025-2030)
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 for Retail 麻豆原创 Size (2019-2030)
9.2 Latin America Artificial Intelligence for Retail 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence for Retail 麻豆原创 Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence for Retail 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence for Retail 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence for Retail 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence for Retail 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence for Retail 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Intel
11.1.1 Intel Company Detail
11.1.2 Intel Business Overview
11.1.3 Intel Artificial Intelligence for Retail Introduction
11.1.4 Intel Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.1.5 Intel Recent Development
11.2 Hitachi Solutions
11.2.1 Hitachi Solutions Company Detail
11.2.2 Hitachi Solutions Business Overview
11.2.3 Hitachi Solutions Artificial Intelligence for Retail Introduction
11.2.4 Hitachi Solutions Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.2.5 Hitachi Solutions Recent Development
11.3 Accenture
11.3.1 Accenture Company Detail
11.3.2 Accenture Business Overview
11.3.3 Accenture Artificial Intelligence for Retail Introduction
11.3.4 Accenture Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.3.5 Accenture Recent Development
11.4 DataRobot
11.4.1 DataRobot Company Detail
11.4.2 DataRobot Business Overview
11.4.3 DataRobot Artificial Intelligence for Retail Introduction
11.4.4 DataRobot Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.4.5 DataRobot Recent Development
11.5 Alibaba Cloud
11.5.1 Alibaba Cloud Company Detail
11.5.2 Alibaba Cloud Business Overview
11.5.3 Alibaba Cloud Artificial Intelligence for Retail Introduction
11.5.4 Alibaba Cloud Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.5.5 Alibaba Cloud Recent Development
11.6 Microsoft AI
11.6.1 Microsoft AI Company Detail
11.6.2 Microsoft AI Business Overview
11.6.3 Microsoft AI Artificial Intelligence for Retail Introduction
11.6.4 Microsoft AI Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.6.5 Microsoft AI Recent Development
11.7 Fujitsu
11.7.1 Fujitsu Company Detail
11.7.2 Fujitsu Business Overview
11.7.3 Fujitsu Artificial Intelligence for Retail Introduction
11.7.4 Fujitsu Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.7.5 Fujitsu Recent Development
11.8 AWS
11.8.1 AWS Company Detail
11.8.2 AWS Business Overview
11.8.3 AWS Artificial Intelligence for Retail Introduction
11.8.4 AWS Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.8.5 AWS Recent Development
11.9 Huawei
11.9.1 Huawei Company Detail
11.9.2 Huawei Business Overview
11.9.3 Huawei Artificial Intelligence for Retail Introduction
11.9.4 Huawei Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.9.5 Huawei Recent Development
11.10 Oracle
11.10.1 Oracle Company Detail
11.10.2 Oracle Business Overview
11.10.3 Oracle Artificial Intelligence for Retail Introduction
11.10.4 Oracle Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.10.5 Oracle Recent Development
11.11 Google Cloud
11.11.1 Google Cloud Company Detail
11.11.2 Google Cloud Business Overview
11.11.3 Google Cloud Artificial Intelligence for Retail Introduction
11.11.4 Google Cloud Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.11.5 Google Cloud Recent Development
11.12 Haystream
11.12.1 Haystream Company Detail
11.12.2 Haystream Business Overview
11.12.3 Haystream Artificial Intelligence for Retail Introduction
11.12.4 Haystream Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.12.5 Haystream Recent Development
11.13 Habana
11.13.1 Habana Company Detail
11.13.2 Habana Business Overview
11.13.3 Habana Artificial Intelligence for Retail Introduction
11.13.4 Habana Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.13.5 Habana Recent Development
11.14 IBM
11.14.1 IBM Company Detail
11.14.2 IBM Business Overview
11.14.3 IBM Artificial Intelligence for Retail Introduction
11.14.4 IBM Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.14.5 IBM Recent Development
11.15 SymphonyAI
11.15.1 SymphonyAI Company Detail
11.15.2 SymphonyAI Business Overview
11.15.3 SymphonyAI Artificial Intelligence for Retail Introduction
11.15.4 SymphonyAI Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.15.5 SymphonyAI Recent Development
11.16 NVIDIA
11.16.1 NVIDIA Company Detail
11.16.2 NVIDIA Business Overview
11.16.3 NVIDIA Artificial Intelligence for Retail Introduction
11.16.4 NVIDIA Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.16.5 NVIDIA Recent Development
11.17 SAP Industry
11.17.1 SAP Industry Company Detail
11.17.2 SAP Industry Business Overview
11.17.3 SAP Industry Artificial Intelligence for Retail Introduction
11.17.4 SAP Industry Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.17.5 SAP Industry Recent Development
11.18 Salesforce Inc.
11.18.1 Salesforce Inc. Company Detail
11.18.2 Salesforce Inc. Business Overview
11.18.3 Salesforce Inc. Artificial Intelligence for Retail Introduction
11.18.4 Salesforce Inc. Revenue in Artificial Intelligence for Retail Business (2019-2024)
11.18.5 Salesforce Inc. 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

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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