Ken Research Logo

Global Artificial Intelligence (AI) In Marketing Market Outlook to 2030

Region:Global

Author(s):Abhinav kumar

Product Code:KROD1978

Published On

December 2024

Total pages

88

About the Report

Global AI in Marketing Market Overview

  • The Global Artificial Intelligence (AI) in Marketing Market was valued at USD 13.27 billion in 2023, driven by the increasing demand for personalized customer experiences, the integration of AI-powered tools for marketing automation, and the rising adoption of AI in digital advertising. Businesses are leveraging AI to optimize customer engagement and campaign performance, with a growing focus on predictive analytics, AI-driven content creation, and AI-based recommendation systems.
  • Key players in the global AI in marketing market include IBM, Adobe Systems, Salesforce, Oracle, and Microsoft. These companies are leading the development of advanced AI marketing tools by integrating machine learning and automation into their platforms, helping businesses enhance customer experiences and improve marketing efficiency.
  • In 2023, Salesforce expanded its AI-driven Marketing Cloud by launching Einstein GPT, a generative AI feature designed to personalize marketing campaigns across customer touchpoints. This tool enables businesses to automate content creation and deliver targeted customer interactions, marking a significant step forward in AI marketing solutions.
  • North America dominated the global AI in marketing market in 2023, supported by high investment in AI technologies, a strong digital advertising ecosystem, and early adoption of AI marketing tools by businesses in the region. The presence of leading tech companies further drives the regions dominance in the market.

Global AI in Marketing Market Size

Global AI in Marketing Market Segmentation

The global AI in marketing market is segmented by region, application, and deployment mode.

By Region: The global AI in marketing market is divided into North America, Europe, Asia-Pacific (APAC), Latin America, and Middle East & Africa (MEA). North America held the largest market share in 2023 due to its strong technological infrastructure, rapid adoption of AI marketing tools, and the presence of major AI service providers.

Global AI in Marketing Market Segmentation By Region

By Application: The market is segmented into AI-powered content creation, predictive analytics, customer service automation, and targeted marketing. In 2023, targeted marketing held the largest market share, driven by the growing need for personalized customer interactions across e-commerce platforms and digital marketing campaigns.

Global AI in Marketing Market Segmentation By Application

By Deployment Mode: The market is segmented into cloud-based and on-premise solutions. In 2023, cloud-based solutions led the market due to their flexibility, scalability, and remote access capabilities, making them ideal for businesses looking to optimize their marketing processes without substantial infrastructure costs.

Global AI in Marketing Market Competitive Landscape

Company

Establishment Year

Headquarters

IBM

1911

Armonk, New York, USA

Adobe

1982

San Jose, California, USA

Salesforce

1999

San Francisco, USA

Oracle

1977

Austin, Texas, USA

Microsoft

1975

Redmond, Washington, USA

IBM's Recent Development (2023): In 2023, IBM introduced Watson Advertising Accelerator, an AI-based tool that uses machine learning to optimize ad placement and performance. This tool enables marketers to improve their campaign efficiency by analyzing customer data in real-time, resulting in higher conversion rates and enhanced user experiences.

Adobe's Recent Development (2023): Adobe upgraded its Adobe Sensei AI framework with advanced predictive analytics features, enabling marketers to better predict customer behaviors and trends. This development allows brands to create more targeted campaigns, increasing ROI through enhanced personalization and engagement.

Global AI in Marketing Market Analysis

Global AI in Marketing Market Growth Drivers

  • Increasing Demand for Personalized Customer Experiences: In 2023, the growing importance of personalized marketing experiences drove the adoption of AI tools that enable businesses to analyze customer behavior and preferences. AI-driven recommendation systems on platforms like Amazon and Alibaba have significantly improved customer engagement by providing personalized product recommendations.
  • Rising Integration of AI in Digital Advertising: In 2024, platforms like Google Ads and Facebooks AI-powered advertising solutions saw increased adoption due to their ability to improve campaign performance and maximize return on investment. The rise of AI-driven programmatic advertising is expected to further accelerate the growth of AI in marketing.
  • Advancements in Predictive Analytics: In 2024, businesses increasingly utilized AI-powered predictive analytics to forecast customer behavior and market trends. AI tools such as predictive models and machine learning algorithms allow marketers to gain insights into customer purchasing patterns and future preferences, enabling data-driven decision-making. This growing reliance on predictive analytics has positioned AI as a crucial tool for marketing strategy optimization.

Global AI in Marketing Market Challenges

  • Data Privacy and Security Concerns: With the increasing use of AI in customer data analysis, data privacy and security concerns have risen in 2023. Compliance with regulations like GDPR and CCPA has become a critical challenge for businesses adopting AI marketing tools, as they must ensure that customer data is handled securely and ethically.
  • High Implementation Costs for SMEs: The initial cost of implementing AI marketing tools can be prohibitively high for small and medium-sized enterprises (SMEs). In 2023, many SMEs faced challenges in adopting AI solutions due to the significant financial investment required for AI infrastructure and expertise. This cost barrier limits access to AI marketing tools for smaller businesses.

Global AI in Marketing Market Government Initiatives

  • U.S. AI Initiative Act (2023): The U.S. AI Initiative Act was introduced to promote AI development and integration across industries, including marketing. In fiscal year 2023, the National Science Foundation (NSF) funded over $800 million in AI-related activities, which included approximately 500 new AI projects across the country. The 2023 update to the National Artificial Intelligence Research and Development Strategic Plan emphasizes the need for long-term investments in AI research.
  • Chinas AI Development Plan (2023-2025): China's Ministry of Industry and Information Technology (MIIT) launched a comprehensive AI development plan from 2023 to 2025, allocating $2 billion to support the integration of AI technologies across various sectors, including marketing. The initiative aims to position China as a global leader in AI-driven marketing innovations.

Global AI in Marketing Market Future Outlook

The Global Artificial Intelligence (AI) in Marketing Market is expected to witness significant growth by 2028, driven by technological advancements in AI, the increasing demand for personalized marketing experiences, and the growing adoption of AI tools across industries.

Global AI in Marketing Market Future Trends

  • Growing Integration of AI and Machine Learning: By 2028, AI and machine learning will become even more integral to marketing strategies, enabling businesses to automate and personalize customer interactions on a larger scale. AI-driven tools will allow marketers to predict customer behavior with greater accuracy, improving campaign effectiveness and customer engagement.
  • Increased Focus on Real-Time Customer Analytics: By 2028, businesses will rely heavily on AI-powered real-time analytics to monitor customer behavior and preferences. AI will enable marketers to make instant adjustments to campaigns, ensuring that marketing strategies are always aligned with current customer needs and market trends.

Scope of the Report

By Application

Powered Content Creation

Predictive Analytics

Customer Service Automation

Targeted Marketing

By Deployment Mode

Cloud-Based

On-Premise

By Organization Size

Large Enterprises

Small Enterprises

Medium Enterprises

By End-Use Industry

Retail

BFSI

IT & Telecom

Healthcare

By Region

North America

Europe

Asia-Pacific (APAC)

Middle East & Africa (MEA)

Latin America

Products

Key Target Audience Organizations and Entities Who Can Benefit by Subscribing to This Report:

  • Large Enterprises

  • Small and Medium Enterprises (SMEs)

  • E-commerce Platforms

  • Digital Marketing Agencies

  • Investments and Venture Capitalist Firms

  • Technology Industries

  • Telecommunications Industries

  • Financial Services Companies

Time Period Captured in the Report

  • Historical Period: 2018-2023

  • Base Year: 2023

  • Forecast Period: 2023-2028

Companies

Players Mentioned in the Report:

  • IBM

  • Adobe Systems

  • Salesforce

  • Oracle

  • Microsoft

  • Google

  • Amazon Web Services (AWS)

  • Meta (formerly Facebook)

  • SAP SE

  • HubSpot

Table of Contents

1.Global AI in Marketing Market Overview

1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview

2.Global AI in Marketing Market Size (in USD Bn), 2018-2023

2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones

3.Global AI in Marketing Market Analysis

3.1. Growth Drivers
3.1.1. Increasing Demand for Personalized Customer Experiences
3.1.2. Rising Integration of AI in Digital Advertising
3.1.3. Advancements in Predictive Analytics
3.2. Restraints
3.2.1. Data Privacy and Security Concerns
3.2.2. High Implementation Costs for SMEs
3.3. Opportunities
3.3.1. Integration with AI and Machine Learning
3.3.2. Real-Time Customer Analytics
3.3.3. Expansion of AI Tools in Emerging Markets
3.4. Trends
3.4.1. Growing Adoption of AI-Powered Content Creation
3.4.2. Increased Use of AI-Driven Predictive Analytics
3.4.3. AI Automation in Campaign Optimization
3.5. Government Regulation
3.5.1. U.S. AI Initiative Act (2023)
3.5.2. EU's GDPR and AI Regulations
3.5.3. Chinas AI Development Plan (2023-2025)
3.6. SWOT Analysis
3.7. Stakeholder Ecosystem
3.8. Competition Ecosystem

4.Global AI in Marketing Market Segmentation, 2023

4.1. By Application (in Value %)
4.1.1. AI-Powered Content Creation
4.1.2. Predictive Analytics
4.1.3. Customer Service Automation
4.1.4. Targeted Marketing
4.2. By Deployment Mode (in Value %)
4.2.1. Cloud-Based
4.2.2. On-Premise
4.3. By Organization Size (in Value %)
4.3.1. Large Enterprises
4.3.2. Small and Medium Enterprises (SMEs)
4.4. By End-Use Industry (in Value %)
4.4.1. Retail
4.4.2. BFSI
4.4.3. IT & Telecom
4.4.4. Healthcare
4.5. By Region (in Value %)
4.5.1. North America
4.5.2. Europe
4.5.3. Asia-Pacific (APAC)
4.5.4. Middle East & Africa (MEA)
4.5.5. Latin America

5.Global AI in Marketing Market Cross Comparison

5.1 Detailed Profiles of Major Companies
5.1.1. IBM
5.1.2. Adobe Systems
5.1.3. Salesforce
5.1.4. Oracle
5.1.5. Microsoft
5.1.6. Google
5.1.7. Amazon Web Services (AWS)
5.1.8. Meta (formerly Facebook)
5.1.9. SAP SE
5.1.10. Baidu
5.2 Cross Comparison Parameters (No. of Employees, Headquarters, Inception Year, Revenue)

6.Global AI in Marketing Market Competitive Landscape

6.1. Market Share Analysis
6.2. Strategic Initiatives
6.3. Mergers and Acquisitions
6.4. Investment Analysis
6.4.1. Venture Capital Funding
6.4.2. Government Grants
6.4.3. Private Equity Investments

7.Global AI in Marketing Market Regulatory Framework

7.1. Data Protection Standards
7.2. Compliance Requirements
7.3. Certification Processes

8.Global AI in Marketing Future Market Size (in USD Bn), 2023-2028

8.1. Future Market Size Projections
8.2. Key Factors Driving Future Market Growth

9.Global AI in Marketing Future Market Segmentation, 2028

9.1. By Application (in Value %)
9.2. By Deployment Mode (in Value %)
9.3. By Organization Size (in Value %)
9.4. By End-Use Industry (in Value %)
9.5. By Region (in Value %)

10.Global AI in Marketing Market Analysts Recommendations

10.1. TAM/SAM/SOM Analysis
10.2. Customer Cohort Analysis
10.3. Marketing Initiatives
10.4. White Space Opportunity Analysis

Disclaimer

Contact Us

Research Methodology

Step: 1 Identifying Key Variables

Ecosystem creation for all the major entities and referring to multiple secondary and proprietary databases to perform desk research around the Market to collate Market-level information.

Step: 2 Market Building

Collating statistics on the Global Artificial Intelligence (AI) in Marketing Market over the years, and analyzing the penetration of Marketplaces as well as the ratio of service providers to compute the revenue generated for the market. We will also review service quality statistics to understand the revenue generated which can ensure accuracy behind the data points shared.

Step: 3 Validating and Finalizing

Building Market hypotheses and conducting CATIs with Market experts belonging to different companies to validate statistics and seek operational and financial information from company representatives.

Step: 4 Research Output

Our team will approach multiple Artificial Intelligence (AI) in Marketing companies to understand the nature of service segments, consumer preferences, and other parameters. This supports validating statistics derived through a bottom-to-top approach from these Artificial Intelligence (AI) in Marketing companies, ensuring accuracy and reliability in the report.

Frequently Asked Questions

01. How big is the Global Artificial Intelligence (AI) in Marketing Market?

The global AI in marketing market was valued at $13.7 billion in 2023, driven by the adoption of AI technologies across industries for customer targeting, predictive analysis, and marketing automation. The integration of AI tools in digital marketing has been a key factor in the market's rapid growth.

02. What are the challenges in the Global Artificial Intelligence (AI) in Marketing Market?

Challenges include data privacy concerns, high initial implementation costs, and a shortage of skilled AI professionals. Compliance with strict regulations such as GDPR and CCPA adds complexity, making it difficult for companies to adopt AI marketing solutions without significant investment.

03. Who are the major players in the Global Artificial Intelligence (AI) in Marketing Market?

Major players include IBM, Adobe Systems, Salesforce, Oracle, and Microsoft. These companies dominate the market due to their advanced AI technologies, integration capabilities with CRM systems, and strong market presence in digital marketing solutions.

04. What are the growth drivers of the Global Artificial Intelligence (AI) in Marketing Market?

Key growth drivers include the rising demand for personalized customer experiences, increased investments in AI-powered advertising, and the integration of AI with CRM systems to enhance customer engagement. These drivers are helping businesses optimize marketing strategies and improve ROI.

Why Buy From Us?

RRR
Refine Robust Result (RRR) Framework

What makes us stand out is that our consultants follows Robust, Refine and Result (RRR) methodology. i.e. Robust for clear definitions, approaches and sanity checking, Refine for differentiating respondents facts and opinions and Result for presenting data with story

Our Reach Is Unmatched
Our Reach Is Unmatched

We have set a benchmark in the industry by offering our clients with syndicated and customized market research reports featuring coverage of entire market as well as meticulous research and analyst insights.

Research
Shifting the Research Paradigm

While we don't replace traditional research, we flip the method upside down. Our dual approach of Top Bottom & Bottom Top ensures quality deliverable by not just verifying company fundamentals but also looking at the sector and macroeconomic factors.

Insite
More Insights-Better Decisions

With one step in the future, our research team constantly tries to show you the bigger picture. We help with some of the tough questions you may encounter along the way: How is the industry positioned? Best marketing channel? KPI's of competitors? By aligning every element, we help maximize success.

Trust
Transparency and Trust

Our report gives you instant access to the answers and sources that other companies might choose to hide. We elaborate each steps of research methodology we have used and showcase you the sample size to earn your trust.

support
Round the Clock Support

If you need any support, we are here! We pride ourselves on universe strength, data quality, and quick, friendly, and professional service.

Why Client Choose Us?

400000+ Reports in repository
150+ Consulting project a year
100+ Analysts
8000+ Client Queries in 2022