(MENAFN- GlobeNewsWire - Nasdaq) AI in marketing offers opportunities for enhanced personalization, data-driven insights, and streamlined operations. As AI evolves, solutions like predictive analytics and chatbots support scalable engagement, especially in sectors like retail and telecom. Adaptation to regulations and deployment modes remains key for global growth.

Dublin, Oct. 08, 2025 (GLOBE NEWSWIRE) -- The "AI in Marketing Market - Global Forecast 2025-2030" report has been added to ResearchAndMarkets's offering.

Artificial intelligence is fundamentally altering the marketing landscape, empowering organizations to deliver personalized engagement, analyze customer data with precision, and streamline operations. As AI-driven solutions progress, they offer marketing leaders new opportunities to optimize strategies, ensure compliance, and drive customer-centric growth.

Market Snapshot: AI in Marketing

The AI in marketing market is growing as enterprises increasingly integrate advanced machine learning and automation technologies into customer engagement and campaign management. Adoption is fueled by greater processing capabilities, proliferation of data sources, and the need for efficient, scalable personalization.

Organizations are responding by evolving their marketing workflows, deploying predictive analytics, and automating customer interactions to meet heightened consumer expectations and regulatory standards. The convergence of analytics, real-time personalization, and chat-driven solutions continues to shape a highly dynamic environment for both solution providers and end-users.

Report Scope & Segmentation

• Solution Types: Analytics platforms (descriptive, predictive, prescriptive), campaign management tools, chatbots (text-based, visual, voice), personalization engines, recommendation engines.
• Deployment Modes: Cloud (private, public), hybrid, on-premises implementations (licensed, owned software).
• Organization Sizes: Large enterprises (multinational, regional) and small to medium enterprises (including micro and small businesses).
• Industry Verticals: BFSI, healthcare, IT & telecom, retail, each facing unique regulatory and operational challenges.
• Geographies: Americas (including United States regions), Europe, Middle East and Africa (EMEA), Asia Pacific (with detailed country-level coverage).

Segment relevance is strong; for example, highly regulated sectors such as BFSI and healthcare prioritize AI solutions with built-in compliance, while retail and telecom favor applications that drive loyalty and experiential marketing. The segmentation also reflects varied deployment maturity, with cloud adoption prevalent among innovators and on-premises favored where data sovereignty is paramount.

The companies profiled in this AI in Marketing industry report include:

• Salesforce, Inc.
• Adobe Inc.
• Oracle Corporation
• Microsoft Corporation
• International Business Machines Corporation
• SAP SE
• Google LLC
• HubSpot, Inc.
• SAS Institute Inc.
• Pegasystems Inc.

Key Takeaways for Senior Decision-Makers

• AI's evolution from static analytics to real-time decision engines enables marketers to move from intuition-based segmentation to actionable personalization based on continuous data streams.
• Adaptive solutions, such as deep learning-powered recommendation engines and maturing chatbot interfaces, are transforming digital touchpoints and scaling personalized content delivery.
• Organizational success in AI marketing hinges on integrating cross-functional teams-data scientists, creatives, and business leaders-to drive ongoing model refinement and agile execution.
• Deployment choices reflect an ongoing trade-off: cloud models support rapid iteration and scalability, while on-premises and hybrid options address compliance and control requirements. Modular adoption patterns are particularly relevant for SMEs.
• AI adoption strategies must accommodate regional market nuances, with EMEA organizations navigating stringent privacy laws, Americas leveraging robust digital infrastructure, and Asia Pacific advancing mobile-driven, localized automation.

Tariff Impact: 2025 United States Adjustments

Forthcoming U.S. tariff adjustments will impact imported AI-related hardware and software integral to marketing ecosystems. Higher duties on infrastructure components may increase capital costs, particularly for on-premises and hybrid solutions. Software providers could see shifts in licensing and support terms, prompting a reassessment of global supply chains.

Cloud providers relying on external hardware sources may face margin pressures, potentially influencing service fees. Organizations are advised to revise procurement contracts, diversify supplier bases, and adopt flexible deployment models to maintain agility and cost control in response to the changing trade environment.

Research Methodology & Data Sources

This analysis uses a mixed-methods approach, combining in-depth executive interviews and quantitative surveys with secondary research from industry journals and financial reports. The study includes peer review and data triangulation to ensure validity and reliability of key findings.

Why This Report Matters

• Enables decision-makers to benchmark AI-driven marketing capabilities and align deployment with organizational and regulatory requirements.
• Supports strategic procurement and risk management in anticipation of market shifts, such as tariff impacts and evolving consumer expectations.
• Equips leaders with actionable insights for targeted growth, regional innovation, and enhanced customer experience through advanced marketing technologies.

Key Topics Covered
1. Preface
2. Research Methodology
3. Executive Summary

4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
5.1. Integration of generative AI platforms to automate personalized email marketing sequences at scale
5.2. Adoption of AI-driven predictive analytics for optimizing customer lifetime value across channels
5.3. Deployment of conversational AI chatbots with sentiment analysis for real-time customer support
5.4. Implementation of AI-powered bid optimization in programmatic advertising to maximize ROI
5.5. Utilization of natural language generation to create dynamic product descriptions and ad copy
5.6. Application of deep learning to analyze customer feedback and automate brand sentiment monitoring
5.7. Leveraging machine learning to segment audiences based on psychographic and behavioral data
5.8. Incorporation of voice search optimization powered by advanced speech recognition AI models
6. Market Insights
6.1. Porter's Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025

8. AI in Marketing Market, by Solution Type
8.1. Introduction
8.2. Analytics Platforms
8.2.1. Descriptive Analytics
8.2.2. Predictive Analytics
8.2.2.1. Machine Learning Analytics
8.2.2.2. Statistical Modeling
8.2.3. Prescriptive Analytics
8.3. Campaign Management Tools
8.4. Chatbots
8.4.1. Text Based Chatbots
8.4.2. Visual Chatbots
8.4.3. Voice Based Chatbots
8.5. Personalization Engines
8.6. Recommendation Engines
9. AI in Marketing Market, by Deployment Mode
9.1. Introduction
9.2. Cloud
9.2.1. Private Cloud
9.2.2. Public Cloud
9.3. Hybrid
9.4. On Premises
9.4.1. Licensed Software
9.4.2. Owned Software
10. AI in Marketing Market, by Organization Size
10.1. Introduction
10.2. Large Enterprises
10.2.1. MNC
10.2.2. Regional Enterprises
10.3. Small and Medium Enterprises
10.3.1. Medium Enterprises
10.3.2. Micro Enterprises
10.3.3. Small Enterprises
11. AI in Marketing Market, by Industry Vertical
11.1. Introduction
11.2. BFSI
11.3. Healthcare
11.4. IT Telecom
11.5. Retail
12. Americas AI in Marketing Market
12.1. Introduction
12.2. United States
12.3. Canada
12.4. Mexico
12.5. Brazil
12.6. Argentina
13. Europe, Middle East & Africa AI in Marketing Market
13.1. Introduction
13.2. United Kingdom
13.3. Germany
13.4. France
13.5. Russia
13.6. Italy
13.7. Spain
13.8. United Arab Emirates
13.9. Saudi Arabia
13.10. South Africa
13.11. Denmark
13.12. Netherlands
13.13. Qatar
13.14. Finland
13.15. Sweden
13.16. Nigeria
13.17. Egypt
13.18. Turkey
13.19. Israel
13.20. Norway
13.21. Poland
13.22. Switzerland
14. Asia-Pacific AI in Marketing Market
14.1. Introduction
14.2. China
14.3. India
14.4. Japan
14.5. Australia
14.6. South Korea
14.7. Indonesia
14.8. Thailand
14.9. Philippines
14.10. Malaysia
14.11. Singapore
14.12. Vietnam
14.13. Taiwan
15. Competitive Landscape
15.1. Market Share Analysis, 2024
15.2. FPNV Positioning Matrix, 2024
15.3. Competitive Analysis
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