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2020-2025 Global Artificial Intelligence based Personalization Market Report - Production and Consumption Professional Analysis (Impact of COVID-19)
SKU ID : Maia-17073517 | Publishing Date : 31-Dec-2020 | No. of pages : 98
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Artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. In computer science AI research is defined as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals.
Personalization is no longer just about using data to learn about your customers and deliver relevant content. As channels and devices evolve, personalization is also about using your data to deliver experiences that every customer finds engaging.
This report elaborates the market size, market characteristics, and market growth of the Artificial Intelligence based Personalization industry, and breaks down according to the type, application, and consumption area of Artificial Intelligence based Personalization. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.
In Chapter 3.4 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Artificial Intelligence based Personalization in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19.
In addition, chapters 8-12 consider the impact of COVID-19 on the regional economy.
Key players in the global Artificial Intelligence based Personalization market covered in Chapter 13:
Amazon.com
Check Point Software Technologies
Amazon.com
Oracle
Symantec
Accenture
Cisco
Alphabet
Microsoft
Apple
IBM
In Chapter 6, on the basis of types, the Artificial Intelligence based Personalization market from 2015 to 2025 is primarily split into:
Website Personalization
Display Ads Personalization
Social Media Personalization
E-mail Personalization
In Chapter 7, on the basis of applications, the Artificial Intelligence based Personalization market from 2015 to 2025 covers:
Travel
Retail
Media and Entertainment
Others
Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5:
United States
Europe
China
Japan
India
Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 8, 9, 10, 11, 12:
North America (Covered in Chapter 8)
United States
Canada
Mexico
Europe (Covered in Chapter 9)
Germany
UK
France
Italy
Spain
Others
Asia-Pacific (Covered in Chapter 10)
China
Japan
India
South Korea
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 11)
Saudi Arabia
UAE
South Africa
Others
South America (Covered in Chapter 12)
Brazil
Others
2019
Personalization is no longer just about using data to learn about your customers and deliver relevant content. As channels and devices evolve, personalization is also about using your data to deliver experiences that every customer finds engaging.
This report elaborates the market size, market characteristics, and market growth of the Artificial Intelligence based Personalization industry, and breaks down according to the type, application, and consumption area of Artificial Intelligence based Personalization. The report also conducted a PESTEL analysis of the industry to study the main influencing factors and entry barriers of the industry.
In Chapter 3.4 of the report, the impact of the COVID-19 outbreak on the industry was fully assessed. Fully risk assessment and industry recommendations were made for Artificial Intelligence based Personalization in a special period. This chapter also compares the markets of Pre COVID-19 and Post COVID-19.
In addition, chapters 8-12 consider the impact of COVID-19 on the regional economy.
Key players in the global Artificial Intelligence based Personalization market covered in Chapter 13:
Amazon.com
Check Point Software Technologies
Amazon.com
Oracle
Symantec
Accenture
Cisco
Alphabet
Microsoft
Apple
IBM
In Chapter 6, on the basis of types, the Artificial Intelligence based Personalization market from 2015 to 2025 is primarily split into:
Website Personalization
Display Ads Personalization
Social Media Personalization
E-mail Personalization
In Chapter 7, on the basis of applications, the Artificial Intelligence based Personalization market from 2015 to 2025 covers:
Travel
Retail
Media and Entertainment
Others
Geographically, the detailed analysis of production, trade of the following countries is covered in Chapter 4.2, 5:
United States
Europe
China
Japan
India
Geographically, the detailed analysis of consumption, revenue, market share and growth rate of the following regions are covered in Chapter 8, 9, 10, 11, 12:
North America (Covered in Chapter 8)
United States
Canada
Mexico
Europe (Covered in Chapter 9)
Germany
UK
France
Italy
Spain
Others
Asia-Pacific (Covered in Chapter 10)
China
Japan
India
South Korea
Southeast Asia
Others
Middle East and Africa (Covered in Chapter 11)
Saudi Arabia
UAE
South Africa
Others
South America (Covered in Chapter 12)
Brazil
Others
Years considered for this report:
Historical Years:
2015-2019Base Year:
2019Estimated Year:
2020Forecast Period:
2020-2025Frequently Asked Questions
This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
- By product type
- By End User/Applications
- By Technology
- By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.
