Selected research
Market Analysis & Forecast
Global AI in Marketing Market Analysis and Forecast 2026-2032
Market perspective
The global AI in Marketing market is projected to grow from US$ million in 2026 to US$ million by 2032, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
The North America market for AI in Marketing is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Europe market for AI in Marketing is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
Read the full market overview
Asia-Pacific market for AI in Marketing is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The China market for AI in Marketing is estimated to increase from $ million in 2026 to reach $ million by 2032, at a CAGR of % during the forecast period of 2026 through 2032.
The major global companies of AI in Marketing include Accenture, Appier, Blockchain App Factory, Google, GroupSolver, InData Labs, Invoca, Lemon AI and NoGood, etc. In 2025, the world's top three vendors accounted for approximately % of the revenue.
Report Includes
This report presents an overview of global market for AI in Marketing, market size. Analyses of the global market trends, with historic market revenue data for 2021 - 2025, estimates for 2026, and projections of CAGR through 2032.
This report researches the key producers of AI in Marketing, also provides the revenue of main regions and countries. Of the upcoming market potential for AI in Marketing, and key regions or countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the AI in Marketing revenue, market share and industry ranking of main manufacturers, data from 2021 to 2026. Identification of the major stakeholders in the global AI in Marketing market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2021 to 2032. Evaluation and forecast the market size for AI in Marketing revenue, projected growth trends, production technology, application and end-user industry.
AI in Marketing Segment by Company
Accenture
Appier
Blockchain App Factory
GroupSolver
InData Labs
Invoca
Lemon AI
NoGood
Pecan AI
Penguin Strategies
Single Grain
SmartSites
XANT
IBM
AI in Marketing Segment by Type
Conversational AI
Generative AI
AI in Marketing Segment by Application
Content creation
SEO
Email Marketing
Others
AI in Marketing Segment by Region
North America
United States
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Spain
Netherlands
Switzerland
Sweden
Poland
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Egypt
South Africa
Israel
Türkiye
GCC Countries
Study Objectives
1. To analyze and research the global status and future forecast, involving growth rate (CAGR), market share, historical and forecast.
2. To present the key players, revenue, market share, and Recent Developments.
3. To split the breakdown data by regions, type, manufacturers, and Application.
4. To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints, and risks.
5. To identify significant trends, drivers, influence factors in global and regions.
6. To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
Reasons to Buy This Report
1. This report will help the readers to understand the competition within the industries and strategies for the competitive environment to enhance the potential profit. The report also focuses on the competitive landscape of the global AI in Marketing market, and introduces in detail the market share, industry ranking, competitor ecosystem, market performance, new product development, operation situation, expansion, and acquisition. etc. of the main players, which helps the readers to identify the main competitors and deeply understand the competition pattern of the market.
2. This report will help stakeholders to understand the global industry status and trends of AI in Marketing and provides them with information on key market drivers, restraints, challenges, and opportunities.
3. This report will help stakeholders to understand competitors better and gain more insights to strengthen their position in their businesses. The competitive landscape section includes the market share and rank (in market size), competitor ecosystem, new product development, expansion, and acquisition.
4. This report stays updated with novel technology integration, features, and the latest developments in the market.
5. This report helps stakeholders to gain insights into which regions to target globally.
6. This report helps stakeholders to gain insights into the end-user perception concerning the adoption of AI in Marketing.
7. This report helps stakeholders to identify some of the key players in the market and understand their valuable contribution.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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 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 3: Revenue of AI in Marketing in global and regional level. 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 4: Detailed analysis of AI in Marketing company competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5: Provides the analysis of various market segments by type, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 6: Provides the analysis of various market segments by application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 7: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, AI in Marketing revenue, gross margin, and recent development, etc.
Chapter 8: North America by type, by application and by country, revenue for each segment.
Chapter 9: Europe by type, by application and by country, revenue for each segment.
Chapter 10: China type, by application, revenue for each segment.
Chapter 11: Asia (excluding China) type, by application and by region, revenue for each segment.
Chapter 12: South America, Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 13: The main concluding insights of the report.
More report detail
Tables and figures
Scope & coverage.
Types
- Conversational AI
- Generative AI
Applications
- Content creation
- SEO
- Email Marketing
- Others
Companies covered
- Accenture
- Appier
- Blockchain App Factory
- GroupSolver
- InData Labs
- Invoca
- Lemon AI
- NoGood
- Pecan AI
- Penguin Strategies
- Single Grain
- SmartSites
- XANT
- IBM
Inside the report.
1 Market Overview
- 1.1 Product Definition
- 1.2 AI in Marketing Market by Type
- 1.2.1 Global AI in Marketing Market Size by Type, 2021 VS 2025 VS 2032
- 1.2.2 Conversational AI
- 1.2.3 Generative AI
- 1.3 AI in Marketing Market by Application
- 1.3.1 Global AI in Marketing Market Size by Application, 2021 VS 2025 VS 2032
- 1.3.2 Content creation
- 1.3.3 SEO
- 1.3.4 Email Marketing
- 1.3.5 Others
- 1.4 Assumptions and Limitations
- 1.5 Study Goals and Objectives
2 AI in Marketing Market Dynamics
- 2.1 AI in Marketing Industry Trends
- 2.2 AI in Marketing Industry Drivers
- 2.3 AI in Marketing Industry Opportunities and Challenges
- 2.4 AI in Marketing Industry Restraints
3 Global Growth Perspective
- 3.1 Global AI in Marketing Market Perspective (2021-2032)
- 3.2 Global AI in Marketing Growth Trends by Region
- 3.2.1 Global AI in Marketing Market Size by Region: 2021 VS 2025 VS 2032
- 3.2.2 Global AI in Marketing Market Size by Region (2021-2026)
- 3.2.3 Global AI in Marketing Market Size by Region (2027-2032)
4 Competitive Landscape by Players
- 4.1 Global AI in Marketing Revenue by Players
- 4.1.1 Global AI in Marketing Revenue by Players (2021-2026)
- 4.1.2 Global AI in Marketing Revenue Market Share by Players (2021-2026)
- 4.1.3 Global AI in Marketing Players Revenue Share Top 10 and Top 5 in 2025
- 4.2 Global AI in Marketing Key Players Ranking, 2024 VS 2025 VS 2026
- 4.3 Global AI in Marketing Key Players Headquarters & Area Served
- 4.4 Global AI in Marketing Players, Product Type & Application
- 4.5 Global AI in Marketing Players Establishment Date
- 4.6 Market Competitive Analysis
- 4.6.1 Global AI in Marketing Market CR5 and HHI
- 4.6.3 2025 AI in Marketing Tier 1, Tier 2, and Tier 3
5 AI in Marketing Market Size by Type
- 5.1 Global AI in Marketing Revenue by Type (2021 VS 2025 VS 2032)
- 5.2 Global AI in Marketing Revenue by Type (2021-2032)
- 5.3 Global AI in Marketing Revenue Market Share by Type (2021-2032)
6 AI in Marketing Market Size by Application
- 6.1 Global AI in Marketing Revenue by Application (2021 VS 2025 VS 2032)
- 6.2 Global AI in Marketing Revenue by Application (2021-2032)
- 6.3 Global AI in Marketing Revenue Market Share by Application (2021-2032)
7 Company Profiles
- 7.1 Accenture
- 7.1.1 Accenture Company Information
- 7.1.2 Accenture Business Overview
- 7.1.3 Accenture AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.1.4 Accenture AI in Marketing Product Portfolio
- 7.1.5 Accenture Recent Developments
- 7.2 Appier
- 7.2.1 Appier Company Information
- 7.2.2 Appier Business Overview
- 7.2.3 Appier AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.2.4 Appier AI in Marketing Product Portfolio
- 7.2.5 Appier Recent Developments
- 7.3 Blockchain App Factory
- 7.3.1 Blockchain App Factory Company Information
- 7.3.2 Blockchain App Factory Business Overview
- 7.3.3 Blockchain App Factory AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.3.4 Blockchain App Factory AI in Marketing Product Portfolio
- 7.3.5 Blockchain App Factory Recent Developments
- 7.4 Google
- 7.4.1 Google Company Information
- 7.4.2 Google Business Overview
- 7.4.3 Google AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.4.4 Google AI in Marketing Product Portfolio
- 7.4.5 Google Recent Developments
- 7.5 GroupSolver
- 7.5.1 GroupSolver Company Information
- 7.5.2 GroupSolver Business Overview
- 7.5.3 GroupSolver AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.5.4 GroupSolver AI in Marketing Product Portfolio
- 7.5.5 GroupSolver Recent Developments
- 7.6 InData Labs
- 7.6.1 InData Labs Company Information
- 7.6.2 InData Labs Business Overview
- 7.6.3 InData Labs AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.6.4 InData Labs AI in Marketing Product Portfolio
- 7.6.5 InData Labs Recent Developments
- 7.7 Invoca
- 7.7.1 Invoca Company Information
- 7.7.2 Invoca Business Overview
- 7.7.3 Invoca AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.7.4 Invoca AI in Marketing Product Portfolio
- 7.7.5 Invoca Recent Developments
- 7.8 Lemon AI
- 7.8.1 Lemon AI Company Information
- 7.8.2 Lemon AI Business Overview
- 7.8.3 Lemon AI AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.8.4 Lemon AI AI in Marketing Product Portfolio
- 7.8.5 Lemon AI Recent Developments
- 7.9 NoGood
- 7.9.1 NoGood Company Information
- 7.9.2 NoGood Business Overview
- 7.9.3 NoGood AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.9.4 NoGood AI in Marketing Product Portfolio
- 7.9.5 NoGood Recent Developments
- 7.10 Pecan AI
- 7.10.1 Pecan AI Company Information
- 7.10.2 Pecan AI Business Overview
- 7.10.3 Pecan AI AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.10.4 Pecan AI AI in Marketing Product Portfolio
- 7.10.5 Pecan AI Recent Developments
- 7.11 Penguin Strategies
- 7.11.1 Penguin Strategies Company Information
- 7.11.2 Penguin Strategies Business Overview
- 7.11.3 Penguin Strategies AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.11.4 Penguin Strategies AI in Marketing Product Portfolio
- 7.11.5 Penguin Strategies Recent Developments
- 7.12 Single Grain
- 7.12.1 Single Grain Company Information
- 7.12.2 Single Grain Business Overview
- 7.12.3 Single Grain AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.12.4 Single Grain AI in Marketing Product Portfolio
- 7.12.5 Single Grain Recent Developments
- 7.13 SmartSites
- 7.13.1 SmartSites Company Information
- 7.13.2 SmartSites Business Overview
- 7.13.3 SmartSites AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.13.4 SmartSites AI in Marketing Product Portfolio
- 7.13.5 SmartSites Recent Developments
- 7.14 XANT
- 7.14.1 XANT Company Information
- 7.14.2 XANT Business Overview
- 7.14.3 XANT AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.14.4 XANT AI in Marketing Product Portfolio
- 7.14.5 XANT Recent Developments
- 7.15 IBM
- 7.15.1 IBM Company Information
- 7.15.2 IBM Business Overview
- 7.15.3 IBM AI in Marketing Revenue and Gross Margin (2021-2026)
- 7.15.4 IBM AI in Marketing Product Portfolio
- 7.15.5 IBM Recent Developments
8 North America
- 8.1 North America AI in Marketing Revenue (2021-2032)
- 8.2 North America AI in Marketing Revenue by Type (2021-2032)
- 8.2.1 North America AI in Marketing Revenue by Type (2021-2026)
- 8.2.2 North America AI in Marketing Revenue by Type (2027-2032)
- 8.3 North America AI in Marketing Revenue Share by Type (2021-2032)
- 8.4 North America AI in Marketing Revenue by Application (2021-2032)
- 8.4.1 North America AI in Marketing Revenue by Application (2021-2026)
- 8.4.2 North America AI in Marketing Revenue by Application (2027-2032)
- 8.5 North America AI in Marketing Revenue Share by Application (2021-2032)
- 8.6 North America AI in Marketing Revenue by Country
- 8.6.1 North America AI in Marketing Revenue by Country (2021 VS 2025 VS 2032)
- 8.6.2 North America AI in Marketing Revenue by Country (2021-2026)
- 8.6.3 North America AI in Marketing Revenue by Country (2027-2032)
- 8.6.4 United States
- 8.6.5 Canada
- 8.6.6 Mexico
9 Europe
- 9.1 Europe AI in Marketing Revenue (2021-2032)
- 9.2 Europe AI in Marketing Revenue by Type (2021-2032)
- 9.2.1 Europe AI in Marketing Revenue by Type (2021-2026)
- 9.2.2 Europe AI in Marketing Revenue by Type (2027-2032)
- 9.3 Europe AI in Marketing Revenue Share by Type (2021-2032)
- 9.4 Europe AI in Marketing Revenue by Application (2021-2032)
- 9.4.1 Europe AI in Marketing Revenue by Application (2021-2026)
- 9.4.2 Europe AI in Marketing Revenue by Application (2027-2032)
- 9.5 Europe AI in Marketing Revenue Share by Application (2021-2032)
- 9.6 Europe AI in Marketing Revenue by Country
- 9.6.1 Europe AI in Marketing Revenue by Country (2021 VS 2025 VS 2032)
- 9.6.2 Europe AI in Marketing Revenue by Country (2021-2026)
- 9.6.3 Europe AI in Marketing Revenue by Country (2027-2032)
- 9.6.4 Germany
- 9.6.5 France
- 9.6.6 U.K.
- 9.6.7 Italy
- 9.6.8 Russia
- 9.6.9 Spain
- 9.6.10 Netherlands
- 9.6.11 Switzerland
- 9.6.12 Sweden
- 9.6.13 Poland
10 China
- 10.1 China AI in Marketing Revenue (2021-2032)
- 10.2 China AI in Marketing Revenue by Type (2021-2032)
- 10.2.1 China AI in Marketing Revenue by Type (2021-2026)
- 10.2.2 China AI in Marketing Revenue by Type (2027-2032)
- 10.3 China AI in Marketing Revenue Share by Type (2021-2032)
- 10.4 China AI in Marketing Revenue by Application (2021-2032)
- 10.4.1 China AI in Marketing Revenue by Application (2021-2026)
- 10.4.2 China AI in Marketing Revenue by Application (2027-2032)
- 10.5 China AI in Marketing Revenue Share by Application (2021-2032)
11 Asia (Excluding China)
- 11.1 Asia AI in Marketing Revenue (2021-2032)
- 11.2 Asia AI in Marketing Revenue by Type (2021-2032)
- 11.2.1 Asia AI in Marketing Revenue by Type (2021-2026)
- 11.2.2 Asia AI in Marketing Revenue by Type (2027-2032)
- 11.3 Asia AI in Marketing Revenue Share by Type (2021-2032)
- 11.4 Asia AI in Marketing Revenue by Application (2021-2032)
- 11.4.1 Asia AI in Marketing Revenue by Application (2021-2026)
- 11.4.2 Asia AI in Marketing Revenue by Application (2027-2032)
- 11.5 Asia AI in Marketing Revenue Share by Application (2021-2032)
- 11.6 Asia AI in Marketing Revenue by Country
- 11.6.1 Asia AI in Marketing Revenue by Country (2021 VS 2025 VS 2032)
- 11.6.2 Asia AI in Marketing Revenue by Country (2021-2026)
- 11.6.3 Asia AI in Marketing Revenue by Country (2027-2032)
- 11.6.4 Japan
- 11.6.5 South Korea
- 11.6.6 India
- 11.6.7 Australia
- 11.6.8 Taiwan
- 11.6.9 Southeast Asia
12 South America, Middle East and Africa
- 12.1 SAMEA AI in Marketing Revenue (2021-2032)
- 12.2 SAMEA AI in Marketing Revenue by Type (2021-2032)
- 12.2.1 SAMEA AI in Marketing Revenue by Type (2021-2026)
- 12.2.2 SAMEA AI in Marketing Revenue by Type (2027-2032)
- 12.3 SAMEA AI in Marketing Revenue Share by Type (2021-2032)
- 12.4 SAMEA AI in Marketing Revenue by Application (2021-2032)
- 12.4.1 SAMEA AI in Marketing Revenue by Application (2021-2026)
- 12.4.2 SAMEA AI in Marketing Revenue by Application (2027-2032)
- 12.5 SAMEA AI in Marketing Revenue Share by Application (2021-2032)
- 12.6 SAMEA AI in Marketing Revenue by Country
- 12.6.1 SAMEA AI in Marketing Revenue by Country (2021 VS 2025 VS 2032)
- 12.6.2 SAMEA AI in Marketing Revenue by Country (2021-2026)
- 12.6.3 SAMEA AI in Marketing Revenue by Country (2027-2032)
- 12.6.4 Brazil
- 12.6.5 Argentina
- 12.6.6 Chile
- 12.6.7 Colombia
- 12.6.8 Peru
- 12.6.9 Saudi Arabia
- 12.6.10 Israel
- 12.6.11 UAE
- 12.6.12 Turkey
- 12.6.13 Iran
- 12.6.14 Egypt
13 Concluding Insights
14 Appendix
- 14.1 Reasons for Doing This Study
- 14.2 Research Methodology
- 14.3 Research Process
- 14.4 Authors List of This Report
- 14.5 Data Source
- 14.5.1 Secondary Sources
- 14.5.2 Primary Sources
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