AI 활용 마케팅 서비스 : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AI-powered marketing services market size is expected to grow from USD 23.9 billion in 2025 to USD 28.9 billion in 2026 and is forecast to reach USD 78 billion by 2031 at 21.97% CAGR over 2026-2031.

This report is Segmented by Deployment Mode (Cloud, On-Premises, and Hybrid), Organization Size (Large Enterprises, and Small and Medium-Sized Enterprises), End-User Industry (Retail and E-Commerce, IT and Telecommunications, Healthcare and Life Sciences, Media and Entertainment, Manufacturing and Industrials, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global AI-Powered Marketing Services Market Trends and Insights

Rising Demand for Hyper-Personalized Customer Engagement

The AI-powered marketing services market is benefiting from the shift in personalization from an optional tactic to a core part of customer engagement. Brands are now under pressure to respond to behavior in real time across channels, which raises demand for platforms that can unify identity, content, and decisioning in one workflow. Adobe reported in 2025 that 63% of organizations were already using or piloting AI-powered personalization, and 86% had pilot or working solutions in place to analyze customer interactions, which shows that enterprise adoption has moved past early exploration. The main bottleneck is no longer model access alone, because the stronger differentiator sits in identity resolution and real-time signal ingestion across the stack. That dynamic favors vendors in the AI-powered marketing services market that can connect customer data cleanly before applying personalization logic. It also raises the retention risk for brands that still operate with fragmented customer records, because more consistent experiences on larger platforms are resetting user expectations across the AI-powered marketing services market.

Generative AI-Driven Content Production Efficiency

The AI-powered marketing services market is also gaining from the move away from content creation as a fixed operational bottleneck. Generative tools are making it possible to produce more variations, localizations, and audience-specific assets without expanding teams at the same pace. Adobe said in June 2025 that Lumen Technologies cut campaign launch time from 25 days to 9 days after deploying Adobe GenStudio for Performance Marketing, while ad variation production time for Meta properties across 2 target personas fell by 65%. Adobe also expanded GenStudio in October 2025 with scaled content production capabilities, Firefly Design Intelligence, Firefly Creative Production for Enterprise, and a wider ad delivery ecosystem, which points to growing demand for content operations that behave more like infrastructure. As content velocity rises, the AI-powered marketing services market is seeing stronger demand for measurement, governance, and performance feedback layers that can keep pace with asset output. This means content automation is not reducing platform demand; it is broadening the number of adjacent systems that enterprise buyers need across the AI-powered marketing services market.

Data Privacy, Consent, And Automated Profiling Scrutiny

The AI-powered marketing services market is facing heavier compliance pressure as privacy rules move closer to how automated profiling and content generation work in practice. The next implementation phase of the EU AI Act begins in August 2026, and that raises the burden on enterprises that use AI for segmentation, personalization, and automated decision support. The European Data Protection Supervisor published updated orientations in October 2025 on using generative AI systems in a compliant way, with a focus on lawful processing, governance, and data protection controls that directly affect enterprise deployment standards. This pushes buyers in the AI-powered marketing services market to redesign data pipelines, consent flows, and human oversight mechanisms before scaling automation more broadly. It also strengthens the position of vendors that already offer auditability, documentation, and policy controls as part of their delivery model. For many enterprise deals in the AI-powered marketing services market, compliance features are moving from procurement preference to a minimum entry requirement.

Other drivers and restraints analyzed in the detailed report include:

1. Expansion Of Omnichannel Commerce And Performance Marketing
2. Integration Of AI With CRM And Marketing Automation Platforms
3. High Implementation Costs And AI Talent Gaps

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Cloud deployment held 62.24% of the AI-powered marketing services market share in 2025, reflecting the strong preference for scalable, API-first environments that can support frequent model updates and high-volume processing. Cloud also suits the pace of this category, because vendors can push feature changes, security updates, and compliance controls across customers without long upgrade cycles. On-premises setups still matter in financial services, defense, and regulated healthcare, where customer data handling rules remain strict and internal control is prioritized. Even so, the center of gravity in the AI-powered marketing services market remains with cloud platforms, which offer faster deployment and broader integration across customer engagement stacks.

Hybrid deployment is expected to post the fastest growth in the AI-powered marketing services market size at a 24.91% CAGR from 2026 to 2031, because many enterprises now want sensitive identity data to remain in controlled environments while inference and content generation move to the cloud. This architecture is becoming more relevant as multinational organizations face different privacy and residency requirements across regions. Adobe and NVIDIA announced a strategic partnership in March 2026 to support next-generation Firefly models and cloud-native 3D digital twin workflows, pointing to the type of connected environment large brands are preparing to use for more complex marketing operations. In the AI-powered marketing services industry, vendors that can orchestrate compliant movement between on-premises data stores and cloud-based execution layers are likely to hold a stronger position as regulatory expectations tighten.

Complete Report Scope:

• By deployment mode
  • Cloud
  • On-premises
  • Hybrid
• By organization size
  • Large Enterprises
  • Small and Medium-sized Enterprises
• By End-User Industry
  • Retail and E-commerce
  • IT and Telecommunications
  • BFSI
  • Healthcare and Life Sciences
  • Media and Entertainment
  • Travel and Hospitality
  • Manufacturing and Industrials
  • Others (Automotive, Public Sector, Others)
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Chile
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • United Arab Emirates
    • Saudi Arabia
    • Qatar
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Nigeria
    • Rest of Africa

Geography Analysis

North America accounted for 47.78% of the AI-powered marketing services market share in 2025, making it the largest regional contributor by a wide margin. The region benefits from deep enterprise software spending, a large concentration of digital advertising budgets, and a dense base of AI-native marketing technology vendors. The United States remains the main proving ground for newer categories such as answer engine optimization, agentic campaign management, and AI-native CRM. Canada and Mexico add to regional depth, with visible adoption in retail and financial services use cases. South America is at an earlier stage of commercialization, but Brazil is creating localized demand as digital commerce and telecom marketing become more data-driven.

Europe holds a distinct place in the AI-powered marketing services market because adoption there is being shaped as much by governance requirements as by pure demand growth. GDPR enforcement, the phased rollout of the EU AI Act, and stricter guidance on AI-driven profiling have pushed buyers toward more controlled deployment models. That creates friction for aggressive personalization, but it also supports premium demand for vendors that can document compliance and reduce procurement risk. Germany and the United Kingdom remain the two largest European markets, with Germany tied more closely to industrial-sector automation needs and the United Kingdom to advanced digital advertising demand.

Asia-Pacific is the second-largest regional market, although adoption patterns vary widely by country and platform structure. China remains dominated by domestic ecosystems that combine commerce, social engagement, and AI recommendations in closed loops, which limits direct access for many global vendors. India and Southeast Asia offer greater growth opportunities for cloud-based platforms as internet users move deeper into digital commerce and services. The Middle East is projected to record the fastest expansion in the AI-powered marketing services market, with a 25.56% CAGR from 2026 to 2031, supported by state-backed digital economy programs in Saudi Arabia and the United Arab Emirates. Africa remains the smallest region, but South Africa, Nigeria, and Egypt are creating demand in telecommunications and financial services where AI-led segmentation and localized content can scale efficiently.

1. Salesforce, Inc.
2. Adobe Inc.
3. Google LLC
4. Microsoft Corporation
5. HubSpot, Inc.
6. Oracle Corporation
7. SAP SE
8. International Business Machines Corporation
9. Amazon.com, Inc.
10. Accenture plc
11. Publicis Groupe S.A.
12. WPP plc
13. Omnicom Group Inc.
14. The Interpublic Group of Companies, Inc.
15. The Trade Desk, Inc.
16. Klaviyo, Inc.
17. Sprinklr, Inc.
18. Braze, Inc.
19. ActiveCampaign, Inc.
20. Bloomreach, Inc.
21. Zoho Corporation Pvt. Ltd.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 Study Assumptions and Market Definition
• 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Impact of Macroeconomic Factors on the Market
• 4.3 Market Drivers
  • 4.3.1 Rising Demand for Hyper-Personalized Customer Engagement
  • 4.3.2 Generative AI-Driven Content Production Efficiency
  • 4.3.3 Expansion of Omnichannel Commerce and Performance Marketing
  • 4.3.4 Integration of AI With CRM and Marketing Automation Platforms
  • 4.3.5 Generative Engine Optimization and AI Search Visibility Spend
  • 4.3.6 Agentic Campaign Execution and Human-in-the-Loop Productivity Gains
• 4.4 Market Restraints
  • 4.4.1 Data Privacy, Consent, and Automated Profiling Scrutiny
  • 4.4.2 High Implementation Costs and AI Talent Gaps
  • 4.4.3 Zero-Click AI Search and Attribution Compression
  • 4.4.4 Synthetic Media Disclosure and Brand Trust Burden
• 4.5 Industry Value Chain Analysis
• 4.6 Regulatory Landscape
• 4.7 Technological Outlook
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Threat of New Entrants
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Bargaining Power of Suppliers
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS, VALUE (USD BILLION)

• 5.1 By deployment mode
  • 5.1.1 Cloud
  • 5.1.2 On-premises
  • 5.1.3 Hybrid
• 5.2 By organization size
  • 5.2.1 Large Enterprises
  • 5.2.2 Small and Medium-sized Enterprises
• 5.3 By End-User Industry
  • 5.3.1 Retail and E-commerce
  • 5.3.2 IT and Telecommunications
  • 5.3.3 BFSI
  • 5.3.4 Healthcare and Life Sciences
  • 5.3.5 Media and Entertainment
  • 5.3.6 Travel and Hospitality
  • 5.3.7 Manufacturing and Industrials
  • 5.3.8 Others (Automotive, Public Sector, Others)
• 5.4 By Geography
  • 5.4.1 North America
    • 5.4.1.1 United States
    • 5.4.1.2 Canada
    • 5.4.1.3 Mexico
  • 5.4.2 South America
    • 5.4.2.1 Brazil
    • 5.4.2.2 Argentina
    • 5.4.2.3 Chile
    • 5.4.2.4 Rest of South America
  • 5.4.3 Europe
    • 5.4.3.1 Germany
    • 5.4.3.2 United Kingdom
    • 5.4.3.3 France
    • 5.4.3.4 Italy
    • 5.4.3.5 Spain
    • 5.4.3.6 Rest of Europe
  • 5.4.4 Asia-Pacific
    • 5.4.4.1 China
    • 5.4.4.2 Japan
    • 5.4.4.3 India
    • 5.4.4.4 South Korea
    • 5.4.4.5 Australia
    • 5.4.4.6 Rest of Asia-Pacific
  • 5.4.5 Middle East
    • 5.4.5.1 United Arab Emirates
    • 5.4.5.2 Saudi Arabia
    • 5.4.5.3 Qatar
    • 5.4.5.4 Rest of Middle East
  • 5.4.6 Africa
    • 5.4.6.1 South Africa
    • 5.4.6.2 Egypt
    • 5.4.6.3 Nigeria
    • 5.4.6.4 Rest of Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Market Concentration
• 6.2 Strategic Moves
• 6.3 Market Share Analysis
• 6.4 Company Profiles (includes Global Level Overview, Market Level Overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share, Products and Services, Recent Developments)
  • 6.4.1 Salesforce, Inc.
  • 6.4.2 Adobe Inc.
  • 6.4.3 Google LLC
  • 6.4.4 Microsoft Corporation
  • 6.4.5 HubSpot, Inc.
  • 6.4.6 Oracle Corporation
  • 6.4.7 SAP SE
  • 6.4.8 International Business Machines Corporation
  • 6.4.9 Amazon.com, Inc.
  • 6.4.10 Accenture plc
  • 6.4.11 Publicis Groupe S.A.
  • 6.4.12 WPP plc
  • 6.4.13 Omnicom Group Inc.
  • 6.4.14 The Interpublic Group of Companies, Inc.
  • 6.4.15 The Trade Desk, Inc.
  • 6.4.16 Klaviyo, Inc.
  • 6.4.17 Sprinklr, Inc.
  • 6.4.18 Braze, Inc.
  • 6.4.19 ActiveCampaign, Inc.
  • 6.4.20 Bloomreach, Inc.
  • 6.4.21 Zoho Corporation Pvt. Ltd.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and unmet-need assessment