
Region:Global
Author(s):Abhinav kumar
Product Code:KROD1978
December 2024
88

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.

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.

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.
|
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.
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.
|
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 |
1.1. Definition and Scope
1.2. Market Taxonomy
1.3. Market Growth Rate
1.4. Market Segmentation Overview
2.1. Historical Market Size
2.2. Year-on-Year Growth Analysis
2.3. Key Market Developments and Milestones
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
4.1. 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
5.1 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)
6.1. 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
7.1. Data Protection Standards
7.2. Compliance Requirements
7.3. Certification Processes
8.1. Future Market Size Projections
8.2. Key Factors Driving Future Market Growth
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 %)
10.1. TAM/SAM/SOM Analysis
10.2. Customer Cohort Analysis
10.3. Marketing Initiatives
10.4. White Space Opportunity Analysis
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.
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.
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.
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.
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.
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.
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.
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.
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