Selected research
Industry Research
AI in Marketing Industry Research Report 2026
Market perspective
The global AI in Marketing market was valued at US$ million in 2025 and is projected to reach US$ million by 2032, implying a CAGR of % over 2026–2032.
North America: the AI in Marketing market is projected to increase from US$ million in 2026 to US$ million by 2032, reflecting a CAGR of % over 2026–2032. Europe: the AI in Marketing market is projected to rise from US$ million in 2026 to US$ million by 2032, registering a CAGR of % over 2026–2032. Asia Pacific: the AI in Marketing market is expected to grow from US$ million in 2026 to US$ million by 2032, at a CAGR of % over 2026–2032. Leading global service providers of AI in Marketing include Accenture, Appier, Blockchain App Factory, Google, GroupSolver, InData Labs, Invoca, Lemon AI and NoGood, among others; in 2025, the top three vendors together accounted for approximately % of global revenue.
Report Scope
Read the full market overview
This report quantifies the global AI in Marketing market in terms of revenue (US$ million) and, where applicable, service volume (k units), using 2024 as the base year and providing annual historical and forecast data for 2021–2032.
It standardizes definitions of service Types and end-use Applications, harmonizes provider attribution, and delivers comparable time series by company, Type, Application, and region or country, including indicative price bands (US$/k units) and concentration ratios (CR5/CR10). Outputs are intended to support service design, budgeting, capacity planning, and benchmarking for providers, platforms, channel partners, and investors; the report also reviews technology shifts and notable service innovations relevant to AI in Marketing.
Key Companies & Market Share Insights
This section profiles leading service providers with 2021–2025 results and a 2026–2032 outlook—covering revenue, market share, price bands, service portfolio and client mix, regional and channel mix, and key developments (M&A, network expansion, certifications). It also provides global revenue, average price, and—where applicable—volume metrics by provider, and calculates CR5/CR10 and rank changes to support comparative benchmarking.
AI in Marketing Market 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
Spain
Russia
Netherlands
Nordic Countries
Asia-Pacific
China
Japan
South Korea
India
Australia
Taiwan
Southeast Asia
South America
Brazil
Argentina
Chile
Colombia
Middle East & Africa
Saudi Arabia
Israel
United Arab Emirates
Turkey
Iran
Egypt
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
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 volume and value), 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: Research objectives, research methods, data sources, data cross-validation;
Chapter 2: 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 3: Provides the analysis of various market segments product types, 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 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: 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 6: Detailed analysis of AI in Marketing companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 7, 8, 9, 10, 11: North America, Europe, Asia Pacific, South 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 12: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including revenue, gross margin, product introduction, recent development, etc.
Chapter 13: The main points and conclusions 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 Preface
- 1.1 Scope of Report
- 1.2 Reasons for Doing This Study
- 1.3 Research Methodology
- 1.4 Research Process
- 1.5 Data Source
- 1.5.1 Secondary Sources
- 1.5.2 Primary Sources
2 Market Overview
- 2.1 Product Definition
- 2.2 AI in Marketing by Type
- 2.2.1 Market Value Comparison by Type (2021 VS 2025 VS 2032)
- 2.2.2 Conversational AI
- 2.2.3 Generative AI
- 2.3 AI in Marketing by Application
- 2.3.1 Market Value Comparison by Application (2021 VS 2025 VS 2032)
- 2.3.2 Content creation
- 2.3.3 SEO
- 2.3.4 Email Marketing
- 2.3.5 Others
- 2.4 Assumptions and Limitations
3 AI in Marketing Breakdown Data by Type
- 3.1 Global AI in Marketing Historic Market Size by Type (2021-2026)
- 3.2 Global AI in Marketing Forecasted Market Size by Type (2027-2032)
4 AI in Marketing Breakdown Data by Application
- 4.1 Global AI in Marketing Historic Market Size by Application (2021-2026)
- 4.2 Global AI in Marketing Forecasted Market Size by Application (2027-2032)
5 Global Growth Trends
- 5.1 Global AI in Marketing Market Perspective (2021-2032)
- 5.2 Global AI in Marketing Growth Trends by Region
- 5.2.1 Global AI in Marketing Market Size by Region: 2021 VS 2025 VS 2032
- 5.2.2 AI in Marketing Historic Market Size by Region (2021-2026)
- 5.2.3 AI in Marketing Forecasted Market Size by Region (2027-2032)
- 5.3 AI in Marketing Market Dynamics
- 5.3.1 AI in Marketing Industry Trends
- 5.3.2 AI in Marketing Market Drivers
- 5.3.3 AI in Marketing Market Challenges
- 5.3.4 AI in Marketing Market Restraints
6 Market Competitive Landscape by Players
- 6.1 Global Top AI in Marketing Players by Revenue
- 6.1.1 Global Top AI in Marketing Players by Revenue (2021-2026)
- 6.1.2 Global AI in Marketing Revenue Market Share by Players (2021-2026)
- 6.2 Global AI in Marketing Industry Players Ranking, 2023 VS 2024 VS 2025
- 6.3 Global Key Players of AI in Marketing Head Office and Area Served
- 6.4 Global AI in Marketing Players, Product Type & Application
- 6.5 Global AI in Marketing Manufacturers Established Date
- 6.6 Global AI in Marketing Market CR5 and HHI
- 6.7 Global Players Mergers & Acquisition
7 North America
- 7.1 North America AI in Marketing Market Size (2021-2032)
- 7.2 North America AI in Marketing Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 7.3 North America AI in Marketing Market Size by Country (2021-2026)
- 7.4 North America AI in Marketing Market Size by Country (2027-2032)
- 7.5 United States
- 7.5 United States
- 7.6 Canada
- 7.7 Mexico
8 Europe
- 8.1 Europe AI in Marketing Market Size (2021-2032)
- 8.2 Europe AI in Marketing Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 8.3 Europe AI in Marketing Market Size by Country (2021-2026)
- 8.4 Europe AI in Marketing Market Size by Country (2027-2032)
- 8.5 Germany
- 8.6 France
- 8.7 U.K.
- 8.8 Italy
- 8.9 Spain
- 8.10 Russia
- 8.11 Netherlands
- 8.12 Nordic Countries
9 Asia-Pacific
- 9.1 Asia-Pacific AI in Marketing Market Size (2021-2032)
- 9.2 Asia-Pacific AI in Marketing Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 9.3 Asia-Pacific AI in Marketing Market Size by Country (2021-2026)
- 9.4 Asia-Pacific AI in Marketing Market Size by Country (2027-2032)
- 9.5 China
- 9.6 Japan
- 9.7 South Korea
- 9.8 India
- 9.9 Australia
- 9.10 China Taiwan
- 9.11 Southeast Asia
10 South America
- 10.1 South America AI in Marketing Market Size (2021-2032)
- 10.2 South America AI in Marketing Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 10.3 South America AI in Marketing Market Size by Country (2021-2026)
- 10.4 South America AI in Marketing Market Size by Country (2027-2032)
- 10.5 Brazil
- 10.6 Argentina
- 10.7 Chile
- 10.8 Colombia
- 10.9 Peru
11 Middle East & Africa
- 11.1 Middle East & Africa AI in Marketing Market Size (2021-2032)
- 11.2 Middle East & Africa AI in Marketing Market Growth Rate by Country: 2021 VS 2025 VS 2032
- 11.3 Middle East & Africa AI in Marketing Market Size by Country (2021-2026)
- 11.4 Middle East & Africa AI in Marketing Market Size by Country (2027-2032)
- 11.5 Saudi Arabia
- 11.6 Israel
- 11.7 United Arab Emirates
- 11.8 Turkey
- 11.9 Iran
- 11.10 Egypt
12 Players Profiled
- 12.1 Accenture
- 12.1.1 Accenture Company Information
- 12.1.2 Accenture Business Overview
- 12.1.3 Accenture Revenue in AI in Marketing Business (2021-2026)
- 12.1.4 Accenture AI in Marketing Product Portfolio
- 12.1.5 Accenture Recent Developments
- 12.2 Appier
- 12.2.1 Appier Company Information
- 12.2.2 Appier Business Overview
- 12.2.3 Appier Revenue in AI in Marketing Business (2021-2026)
- 12.2.4 Appier AI in Marketing Product Portfolio
- 12.2.5 Appier Recent Developments
- 12.3 Blockchain App Factory
- 12.3.1 Blockchain App Factory Company Information
- 12.3.2 Blockchain App Factory Business Overview
- 12.3.3 Blockchain App Factory Revenue in AI in Marketing Business (2021-2026)
- 12.3.4 Blockchain App Factory AI in Marketing Product Portfolio
- 12.3.5 Blockchain App Factory Recent Developments
- 12.4 Google
- 12.4.1 Google Company Information
- 12.4.2 Google Business Overview
- 12.4.3 Google Revenue in AI in Marketing Business (2021-2026)
- 12.4.4 Google AI in Marketing Product Portfolio
- 12.4.5 Google Recent Developments
- 12.5 GroupSolver
- 12.5.1 GroupSolver Company Information
- 12.5.2 GroupSolver Business Overview
- 12.5.3 GroupSolver Revenue in AI in Marketing Business (2021-2026)
- 12.5.4 GroupSolver AI in Marketing Product Portfolio
- 12.5.5 GroupSolver Recent Developments
- 12.6 InData Labs
- 12.6.1 InData Labs Company Information
- 12.6.2 InData Labs Business Overview
- 12.6.3 InData Labs Revenue in AI in Marketing Business (2021-2026)
- 12.6.4 InData Labs AI in Marketing Product Portfolio
- 12.6.5 InData Labs Recent Developments
- 12.7 Invoca
- 12.7.1 Invoca Company Information
- 12.7.2 Invoca Business Overview
- 12.7.3 Invoca Revenue in AI in Marketing Business (2021-2026)
- 12.7.4 Invoca AI in Marketing Product Portfolio
- 12.7.5 Invoca Recent Developments
- 12.8 Lemon AI
- 12.8.1 Lemon AI Company Information
- 12.8.2 Lemon AI Business Overview
- 12.8.3 Lemon AI Revenue in AI in Marketing Business (2021-2026)
- 12.8.4 Lemon AI AI in Marketing Product Portfolio
- 12.8.5 Lemon AI Recent Developments
- 12.9 NoGood
- 12.9.1 NoGood Company Information
- 12.9.2 NoGood Business Overview
- 12.9.3 NoGood Revenue in AI in Marketing Business (2021-2026)
- 12.9.4 NoGood AI in Marketing Product Portfolio
- 12.9.5 NoGood Recent Developments
- 12.10 Pecan AI
- 12.10.1 Pecan AI Company Information
- 12.10.2 Pecan AI Business Overview
- 12.10.3 Pecan AI Revenue in AI in Marketing Business (2021-2026)
- 12.10.4 Pecan AI AI in Marketing Product Portfolio
- 12.10.5 Pecan AI Recent Developments
- 12.11 Penguin Strategies
- 12.11.1 Penguin Strategies Company Information
- 12.11.2 Penguin Strategies Business Overview
- 12.11.3 Penguin Strategies Revenue in AI in Marketing Business (2021-2026)
- 12.11.4 Penguin Strategies AI in Marketing Product Portfolio
- 12.11.5 Penguin Strategies Recent Developments
- 12.12 Single Grain
- 12.12.1 Single Grain Company Information
- 12.12.2 Single Grain Business Overview
- 12.12.3 Single Grain Revenue in AI in Marketing Business (2021-2026)
- 12.12.4 Single Grain AI in Marketing Product Portfolio
- 12.12.5 Single Grain Recent Developments
- 12.13 SmartSites
- 12.13.1 SmartSites Company Information
- 12.13.2 SmartSites Business Overview
- 12.13.3 SmartSites Revenue in AI in Marketing Business (2021-2026)
- 12.13.4 SmartSites AI in Marketing Product Portfolio
- 12.13.5 SmartSites Recent Developments
- 12.14 XANT
- 12.14.1 XANT Company Information
- 12.14.2 XANT Business Overview
- 12.14.3 XANT Revenue in AI in Marketing Business (2021-2026)
- 12.14.4 XANT AI in Marketing Product Portfolio
- 12.14.5 XANT Recent Developments
- 12.15 IBM
- 12.15.1 IBM Company Information
- 12.15.2 IBM Business Overview
- 12.15.3 IBM Revenue in AI in Marketing Business (2021-2026)
- 12.15.4 IBM AI in Marketing Product Portfolio
- 12.15.5 IBM Recent Developments
13 Report Conclusion
14 Disclaimer
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