Abstract
Summary
The global market for AI Marketing 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 €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$432.8 billion in 2022, a year-on-year increase of 19.86%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI Marketing, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Marketing by region & country, by Type, and by Application.
The AI Marketing market size, estimations, and forecasts are provided in terms of sales revenue ($ 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 AI Marketing.
Market Segmentation
By Company
Affectiva
Amplero
Appier
Bidalgo
Cognitiv
Conversica
Dstillery
GumGum
Heuritech
IBM
Iflytek
InMobi
Intango
Invoca
LeyanTech
NetBase
Quantcast
Salesforce
Twiggle
XANT
Segment by Type:
User Analysis
Advertising
Brand Prediction
Other
Segment by Application
Advertisers
Sales Department
Analysis
Other
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 AI Marketing 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 AI Marketing 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 AI Marketing 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.
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 €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$432.8 billion in 2022, a year-on-year increase of 19.86%, including software, hardware and services.
Report Scope
This report aims to provide a comprehensive presentation of the global market for AI Marketing, focusing on the total sales revenue, key companies market share and ranking, together with an analysis of AI Marketing by region & country, by Type, and by Application.
The AI Marketing market size, estimations, and forecasts are provided in terms of sales revenue ($ 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 AI Marketing.
Market Segmentation
By Company
Affectiva
Amplero
Appier
Bidalgo
Cognitiv
Conversica
Dstillery
GumGum
Heuritech
IBM
Iflytek
InMobi
Intango
Invoca
LeyanTech
NetBase
Quantcast
Salesforce
Twiggle
XANT
Segment by Type:
User Analysis
Advertising
Brand Prediction
Other
Segment by Application
Advertisers
Sales Department
Analysis
Other
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 AI Marketing 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 AI Marketing 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 AI Marketing 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.
Table of Contents
1 Market Overview
1.1 AI Marketing Product Introduction
1.2 Global AI Marketing Market Size Forecast
1.3 AI Marketing Market Trends & Drivers
1.3.1 AI Marketing Industry Trends
1.3.2 AI Marketing Market Drivers & Opportunity
1.3.3 AI Marketing Market Challenges
1.3.4 AI Marketing Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global AI Marketing Players Revenue Ranking (2023)
2.2 Global AI Marketing Revenue by Company (2019-2024)
2.3 Key Companies AI Marketing Manufacturing Base Distribution and Headquarters
2.4 Key Companies AI Marketing Product Offered
2.5 Key Companies Time to Begin Mass Production of AI Marketing
2.6 AI Marketing Market Competitive Analysis
2.6.1 AI Marketing Market Concentration Rate (2019-2024)
2.6.2 Global 5 and 10 Largest Companies by AI Marketing Revenue in 2023
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in AI Marketing as of 2023)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 User Analysis
3.1.2 Advertising
3.1.3 Brand Prediction
3.1.4 Other
3.2 Global AI Marketing Sales Value by Type
3.2.1 Global AI Marketing Sales Value by Type (2019 VS 2023 VS 2030)
3.2.2 Global AI Marketing Sales Value, by Type (2019-2030)
3.2.3 Global AI Marketing Sales Value, by Type (%) (2019-2030)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Advertisers
4.1.2 Sales Department
4.1.3 Analysis
4.1.4 Other
4.2 Global AI Marketing Sales Value by Application
4.2.1 Global AI Marketing Sales Value by Application (2019 VS 2023 VS 2030)
4.2.2 Global AI Marketing Sales Value, by Application (2019-2030)
4.2.3 Global AI Marketing Sales Value, by Application (%) (2019-2030)
5 Segmentation by Region
5.1 Global AI Marketing Sales Value by Region
5.1.1 Global AI Marketing Sales Value by Region: 2019 VS 2023 VS 2030
5.1.2 Global AI Marketing Sales Value by Region (2019-2024)
5.1.3 Global AI Marketing Sales Value by Region (2025-2030)
5.1.4 Global AI Marketing Sales Value by Region (%), (2019-2030)
5.2 North America
5.2.1 North America AI Marketing Sales Value, 2019-2030
5.2.2 North America AI Marketing Sales Value by Country (%), 2023 VS 2030
5.3 Europe
5.3.1 Europe AI Marketing Sales Value, 2019-2030
5.3.2 Europe AI Marketing Sales Value by Country (%), 2023 VS 2030
5.4 Asia Pacific
5.4.1 Asia Pacific AI Marketing Sales Value, 2019-2030
5.4.2 Asia Pacific AI Marketing Sales Value by Country (%), 2023 VS 2030
5.5 South America
5.5.1 South America AI Marketing Sales Value, 2019-2030
5.5.2 South America AI Marketing Sales Value by Country (%), 2023 VS 2030
5.6 Middle East & Africa
5.6.1 Middle East & Africa AI Marketing Sales Value, 2019-2030
5.6.2 Middle East & Africa AI Marketing Sales Value by Country (%), 2023 VS 2030
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions AI Marketing Sales Value Growth Trends, 2019 VS 2023 VS 2030
6.2 Key Countries/Regions AI Marketing Sales Value
6.3 United States
6.3.1 United States AI Marketing Sales Value, 2019-2030
6.3.2 United States AI Marketing Sales Value by Type (%), 2023 VS 2030
6.3.3 United States AI Marketing Sales Value by Application, 2023 VS 2030
6.4 Europe
6.4.1 Europe AI Marketing Sales Value, 2019-2030
6.4.2 Europe AI Marketing Sales Value by Type (%), 2023 VS 2030
6.4.3 Europe AI Marketing Sales Value by Application, 2023 VS 2030
6.5 China
6.5.1 China AI Marketing Sales Value, 2019-2030
6.5.2 China AI Marketing Sales Value by Type (%), 2023 VS 2030
6.5.3 China AI Marketing Sales Value by Application, 2023 VS 2030
6.6 Japan
6.6.1 Japan AI Marketing Sales Value, 2019-2030
6.6.2 Japan AI Marketing Sales Value by Type (%), 2023 VS 2030
6.6.3 Japan AI Marketing Sales Value by Application, 2023 VS 2030
6.7 South Korea
6.7.1 South Korea AI Marketing Sales Value, 2019-2030
6.7.2 South Korea AI Marketing Sales Value by Type (%), 2023 VS 2030
6.7.3 South Korea AI Marketing Sales Value by Application, 2023 VS 2030
6.8 Southeast Asia
6.8.1 Southeast Asia AI Marketing Sales Value, 2019-2030
6.8.2 Southeast Asia AI Marketing Sales Value by Type (%), 2023 VS 2030
6.8.3 Southeast Asia AI Marketing Sales Value by Application, 2023 VS 2030
6.9 India
6.9.1 India AI Marketing Sales Value, 2019-2030
6.9.2 India AI Marketing Sales Value by Type (%), 2023 VS 2030
6.9.3 India AI Marketing Sales Value by Application, 2023 VS 2030
7 Company Profiles
7.1 Affectiva
7.1.1 Affectiva Profile
7.1.2 Affectiva Main Business
7.1.3 Affectiva AI Marketing Products, Services and Solutions
7.1.4 Affectiva AI Marketing Revenue (US$ Million) & (2019-2024)
7.1.5 Affectiva Recent Developments
7.2 Amplero
7.2.1 Amplero Profile
7.2.2 Amplero Main Business
7.2.3 Amplero AI Marketing Products, Services and Solutions
7.2.4 Amplero AI Marketing Revenue (US$ Million) & (2019-2024)
7.2.5 Amplero Recent Developments
7.3 Appier
7.3.1 Appier Profile
7.3.2 Appier Main Business
7.3.3 Appier AI Marketing Products, Services and Solutions
7.3.4 Appier AI Marketing Revenue (US$ Million) & (2019-2024)
7.3.5 Bidalgo Recent Developments
7.4 Bidalgo
7.4.1 Bidalgo Profile
7.4.2 Bidalgo Main Business
7.4.3 Bidalgo AI Marketing Products, Services and Solutions
7.4.4 Bidalgo AI Marketing Revenue (US$ Million) & (2019-2024)
7.4.5 Bidalgo Recent Developments
7.5 Cognitiv
7.5.1 Cognitiv Profile
7.5.2 Cognitiv Main Business
7.5.3 Cognitiv AI Marketing Products, Services and Solutions
7.5.4 Cognitiv AI Marketing Revenue (US$ Million) & (2019-2024)
7.5.5 Cognitiv Recent Developments
7.6 Conversica
7.6.1 Conversica Profile
7.6.2 Conversica Main Business
7.6.3 Conversica AI Marketing Products, Services and Solutions
7.6.4 Conversica AI Marketing Revenue (US$ Million) & (2019-2024)
7.6.5 Conversica Recent Developments
7.7 Dstillery
7.7.1 Dstillery Profile
7.7.2 Dstillery Main Business
7.7.3 Dstillery AI Marketing Products, Services and Solutions
7.7.4 Dstillery AI Marketing Revenue (US$ Million) & (2019-2024)
7.7.5 Dstillery Recent Developments
7.8 GumGum
7.8.1 GumGum Profile
7.8.2 GumGum Main Business
7.8.3 GumGum AI Marketing Products, Services and Solutions
7.8.4 GumGum AI Marketing Revenue (US$ Million) & (2019-2024)
7.8.5 GumGum Recent Developments
7.9 Heuritech
7.9.1 Heuritech Profile
7.9.2 Heuritech Main Business
7.9.3 Heuritech AI Marketing Products, Services and Solutions
7.9.4 Heuritech AI Marketing Revenue (US$ Million) & (2019-2024)
7.9.5 Heuritech Recent Developments
7.10 IBM
7.10.1 IBM Profile
7.10.2 IBM Main Business
7.10.3 IBM AI Marketing Products, Services and Solutions
7.10.4 IBM AI Marketing Revenue (US$ Million) & (2019-2024)
7.10.5 IBM Recent Developments
7.11 Iflytek
7.11.1 Iflytek Profile
7.11.2 Iflytek Main Business
7.11.3 Iflytek AI Marketing Products, Services and Solutions
7.11.4 Iflytek AI Marketing Revenue (US$ Million) & (2019-2024)
7.11.5 Iflytek Recent Developments
7.12 InMobi
7.12.1 InMobi Profile
7.12.2 InMobi Main Business
7.12.3 InMobi AI Marketing Products, Services and Solutions
7.12.4 InMobi AI Marketing Revenue (US$ Million) & (2019-2024)
7.12.5 InMobi Recent Developments
7.13 Intango
7.13.1 Intango Profile
7.13.2 Intango Main Business
7.13.3 Intango AI Marketing Products, Services and Solutions
7.13.4 Intango AI Marketing Revenue (US$ Million) & (2019-2024)
7.13.5 Intango Recent Developments
7.14 Invoca
7.14.1 Invoca Profile
7.14.2 Invoca Main Business
7.14.3 Invoca AI Marketing Products, Services and Solutions
7.14.4 Invoca AI Marketing Revenue (US$ Million) & (2019-2024)
7.14.5 Invoca Recent Developments
7.15 LeyanTech
7.15.1 LeyanTech Profile
7.15.2 LeyanTech Main Business
7.15.3 LeyanTech AI Marketing Products, Services and Solutions
7.15.4 LeyanTech AI Marketing Revenue (US$ Million) & (2019-2024)
7.15.5 LeyanTech Recent Developments
7.16 NetBase
7.16.1 NetBase Profile
7.16.2 NetBase Main Business
7.16.3 NetBase AI Marketing Products, Services and Solutions
7.16.4 NetBase AI Marketing Revenue (US$ Million) & (2019-2024)
7.16.5 NetBase Recent Developments
7.17 Quantcast
7.17.1 Quantcast Profile
7.17.2 Quantcast Main Business
7.17.3 Quantcast AI Marketing Products, Services and Solutions
7.17.4 Quantcast AI Marketing Revenue (US$ Million) & (2019-2024)
7.17.5 Quantcast Recent Developments
7.18 Salesforce
7.18.1 Salesforce Profile
7.18.2 Salesforce Main Business
7.18.3 Salesforce AI Marketing Products, Services and Solutions
7.18.4 Salesforce AI Marketing Revenue (US$ Million) & (2019-2024)
7.18.5 Salesforce Recent Developments
7.19 Twiggle
7.19.1 Twiggle Profile
7.19.2 Twiggle Main Business
7.19.3 Twiggle AI Marketing Products, Services and Solutions
7.19.4 Twiggle AI Marketing Revenue (US$ Million) & (2019-2024)
7.19.5 Twiggle Recent Developments
7.20 XANT
7.20.1 XANT Profile
7.20.2 XANT Main Business
7.20.3 XANT AI Marketing Products, Services and Solutions
7.20.4 XANT AI Marketing Revenue (US$ Million) & (2019-2024)
7.20.5 XANT Recent Developments
8 Industry Chain Analysis
8.1 AI Marketing Industrial Chain
8.2 AI Marketing 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 AI Marketing Sales Model
8.5.2 Sales Channel
8.5.3 AI Marketing 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