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

Publication ID:

PB511241806

Publication Date:

November 11, 2024

Pages:

110

Publisher:

MRRPB5

Countries:

Global [1]

USD 3,950.00

IT Services [2]

Computing & Electronics [3]

Description:

Artificial intelligence-based personalization is a software that uses artificial intelligence to provide the right content at the right time for individual site visitors, based on what they have seen or consumed in the past search.Artificial intelligence-based personalization software creates data models to derive insights and in turn builds prescriptive or predictive decision engines. End-users use artificial intelligence-based personalization software to make better data-driven decisions and for forecasting the demand.
The global market for Artificial Intelligence-based Personalization was estimated to be worth US$ million in 2023 and is forecast to a readjusted size of US$ million by 2030 with a CAGR of % 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$432.8 billion in 2022, a year-on-year increase of 19.64%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence-based Personalization, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of Artificial Intelligence-based Personalization by region & country, by Type, and by Application.
The Artificial Intelligence-based Personalization market size, estimations, and forecasts are provided in terms of sales revenue ($ 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-based Personalization.
麻豆原创 Segmentation
By Company
Alphabet Inc
IBM Corporation
Amazon
Microsoft Corporation
Oracle Corporation
Accenture Plc
Cisco System Inc
Apple Inc
Adobe
ZineOne
Frosmo
Dynamic Yield
Sitecore
Segment by Type:
by Type
Website Personalization
Display Ads Personalization
Social Media Personalization
E-mail Personalization
by Technology
Machine Learning and Deep Learning
Natural Language Processing
Others
Segment by Application
Travel
Retail
Media & Entertainment
Others
By Region
North America
U.S.
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
U.A.E
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-based Personalization 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-based Personalization 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-based Personalization 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.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 麻豆原创 Overview
1.1 Artificial Intelligence-based Personalization Product Introduction
1.2 Global Artificial Intelligence-based Personalization 麻豆原创 Size Forecast
1.3 Artificial Intelligence-based Personalization 麻豆原创 Trends & Drivers
1.3.1 Artificial Intelligence-based Personalization Industry Trends
1.3.2 Artificial Intelligence-based Personalization 麻豆原创 Drivers & Opportunity
1.3.3 Artificial Intelligence-based Personalization 麻豆原创 Challenges
1.3.4 Artificial Intelligence-based Personalization 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-based Personalization Players Revenue Ranking (2023)
2.2 Global Artificial Intelligence-based Personalization Revenue by Company (2019-2024)
2.3 Key Companies Artificial Intelligence-based Personalization Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence-based Personalization Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence-based Personalization
2.6 Artificial Intelligence-based Personalization 麻豆原创 Competitive Analysis
2.6.1 Artificial Intelligence-based Personalization 麻豆原创 Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence-based Personalization 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-based Personalization as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Website Personalization
3.1.2 Display Ads Personalization
3.1.3 Social Media Personalization
3.1.4 E-mail Personalization
3.2 Global Artificial Intelligence-based Personalization Sales Value by Type
3.2.1 Global Artificial Intelligence-based Personalization Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global Artificial Intelligence-based Personalization Sales Value, by Type (2019-2030)
3.2.3 Global Artificial Intelligence-based Personalization Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Travel
4.1.2 Retail
4.1.3 Media & Entertainment
4.1.4 Others
4.2 Global Artificial Intelligence-based Personalization Sales Value by Application
4.2.1 Global Artificial Intelligence-based Personalization Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global Artificial Intelligence-based Personalization Sales Value, by Application (2019-2030)
4.2.3 Global Artificial Intelligence-based Personalization Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global Artificial Intelligence-based Personalization Sales Value by Region
5.1.1 Global Artificial Intelligence-based Personalization Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global Artificial Intelligence-based Personalization Sales Value by Region (2019-2024)
5.1.3 Global Artificial Intelligence-based Personalization Sales Value by Region (2025-2030)
5.1.4 Global Artificial Intelligence-based Personalization Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America Artificial Intelligence-based Personalization Sales Value, 2019-2030
5.2.2 North America Artificial Intelligence-based Personalization Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe Artificial Intelligence-based Personalization Sales Value, 2019-2030
5.3.2 Europe Artificial Intelligence-based Personalization Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence-based Personalization Sales Value, 2019-2030
5.4.2 Asia Pacific Artificial Intelligence-based Personalization Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America Artificial Intelligence-based Personalization Sales Value, 2019-2030
5.5.2 South America Artificial Intelligence-based Personalization Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence-based Personalization Sales Value, 2019-2030
5.6.2 Middle East & Africa Artificial Intelligence-based Personalization Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence-based Personalization Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions Artificial Intelligence-based Personalization Sales Value
6.3 United States
6.3.1 United States Artificial Intelligence-based Personalization Sales Value, 2019-2030
6.3.2 United States Artificial Intelligence-based Personalization Sales Value by Type (%), 2023 VS 2030
6.3.3 United States Artificial Intelligence-based Personalization Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe Artificial Intelligence-based Personalization Sales Value, 2019-2030
6.4.2 Europe Artificial Intelligence-based Personalization Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe Artificial Intelligence-based Personalization Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China Artificial Intelligence-based Personalization Sales Value, 2019-2030
6.5.2 China Artificial Intelligence-based Personalization Sales Value by Type (%), 2023 VS 2030
6.5.3 China Artificial Intelligence-based Personalization Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan Artificial Intelligence-based Personalization Sales Value, 2019-2030
6.6.2 Japan Artificial Intelligence-based Personalization Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan Artificial Intelligence-based Personalization Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea Artificial Intelligence-based Personalization Sales Value, 2019-2030
6.7.2 South Korea Artificial Intelligence-based Personalization Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea Artificial Intelligence-based Personalization Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence-based Personalization Sales Value, 2019-2030
6.8.2 Southeast Asia Artificial Intelligence-based Personalization Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia Artificial Intelligence-based Personalization Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India Artificial Intelligence-based Personalization Sales Value, 2019-2030
6.9.2 India Artificial Intelligence-based Personalization Sales Value by Type (%), 2023 VS 2030
6.9.3 India Artificial Intelligence-based Personalization Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Alphabet Inc
7.1.1 Alphabet Inc Profile
7.1.2 Alphabet Inc Main Business
7.1.3 Alphabet Inc Artificial Intelligence-based Personalization Products, Services and Solutions
7.1.4 Alphabet Inc Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.1.5 Alphabet Inc Recent Developments
7.2 IBM Corporation
7.2.1 IBM Corporation Profile
7.2.2 IBM Corporation Main Business
7.2.3 IBM Corporation Artificial Intelligence-based Personalization Products, Services and Solutions
7.2.4 IBM Corporation Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.2.5 IBM Corporation Recent Developments
7.3 Amazon
7.3.1 Amazon Profile
7.3.2 Amazon Main Business
7.3.3 Amazon Artificial Intelligence-based Personalization Products, Services and Solutions
7.3.4 Amazon Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.3.5 Microsoft Corporation Recent Developments
7.4 Microsoft Corporation
7.4.1 Microsoft Corporation Profile
7.4.2 Microsoft Corporation Main Business
7.4.3 Microsoft Corporation Artificial Intelligence-based Personalization Products, Services and Solutions
7.4.4 Microsoft Corporation Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.4.5 Microsoft Corporation Recent Developments
7.5 Oracle Corporation
7.5.1 Oracle Corporation Profile
7.5.2 Oracle Corporation Main Business
7.5.3 Oracle Corporation Artificial Intelligence-based Personalization Products, Services and Solutions
7.5.4 Oracle Corporation Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.5.5 Oracle Corporation Recent Developments
7.6 Accenture Plc
7.6.1 Accenture Plc Profile
7.6.2 Accenture Plc Main Business
7.6.3 Accenture Plc Artificial Intelligence-based Personalization Products, Services and Solutions
7.6.4 Accenture Plc Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.6.5 Accenture Plc Recent Developments
7.7 Cisco System Inc
7.7.1 Cisco System Inc Profile
7.7.2 Cisco System Inc Main Business
7.7.3 Cisco System Inc Artificial Intelligence-based Personalization Products, Services and Solutions
7.7.4 Cisco System Inc Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.7.5 Cisco System Inc Recent Developments
7.8 Apple Inc
7.8.1 Apple Inc Profile
7.8.2 Apple Inc Main Business
7.8.3 Apple Inc Artificial Intelligence-based Personalization Products, Services and Solutions
7.8.4 Apple Inc Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.8.5 Apple Inc Recent Developments
7.9 Adobe
7.9.1 Adobe Profile
7.9.2 Adobe Main Business
7.9.3 Adobe Artificial Intelligence-based Personalization Products, Services and Solutions
7.9.4 Adobe Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.9.5 Adobe Recent Developments
7.10 ZineOne
7.10.1 ZineOne Profile
7.10.2 ZineOne Main Business
7.10.3 ZineOne Artificial Intelligence-based Personalization Products, Services and Solutions
7.10.4 ZineOne Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.10.5 ZineOne Recent Developments
7.11 Frosmo
7.11.1 Frosmo Profile
7.11.2 Frosmo Main Business
7.11.3 Frosmo Artificial Intelligence-based Personalization Products, Services and Solutions
7.11.4 Frosmo Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.11.5 Frosmo Recent Developments
7.12 Dynamic Yield
7.12.1 Dynamic Yield Profile
7.12.2 Dynamic Yield Main Business
7.12.3 Dynamic Yield Artificial Intelligence-based Personalization Products, Services and Solutions
7.12.4 Dynamic Yield Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.12.5 Dynamic Yield Recent Developments
7.13 Sitecore
7.13.1 Sitecore Profile
7.13.2 Sitecore Main Business
7.13.3 Sitecore Artificial Intelligence-based Personalization Products, Services and Solutions
7.13.4 Sitecore Artificial Intelligence-based Personalization Revenue (US$ Million) & (2019-2024)
7.13.5 Sitecore Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence-based Personalization Industrial Chain
8.2 Artificial Intelligence-based Personalization 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-based Personalization Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence-based Personalization 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:

Alphabet Inc
IBM Corporation
Amazon
Microsoft Corporation
Oracle Corporation
Accenture Plc
Cisco System Inc
Apple Inc
Adobe
ZineOne
Frosmo
Dynamic Yield
Sitecore

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.