맞춤형 마케팅 콘텐츠 및 캠페인 자동화 분야 생성형 AI : 시장 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the generative AI in Personalized Marketing Content and Campaign Automation Market size is expected to increase from USD 8.64 billion in 2025 to USD 10.93 billion in 2026 and reach USD 38.18 billion by 2031, growing at a CAGR of 28.42% over 2026-2031.

This report is Segmented by Offering (Software, and Services), Deployment Mode (Cloud, On-Premise, and Hybrid), Application (Personalized Content and Creative Generation, Campaign Planning and Creation, and More), End User (E-Commerce and Retail, BFSI, IT and Telecom, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Generative AI In Personalized Marketing Content and Campaign Automation Market Trends and Insights

Growing Demand for AI-Driven, Agentic Personalization at Scale

The generative AI in personalized marketing content and campaign automation market is being pushed forward by a clear move from isolated tools toward agent-based execution inside daily customer operations. Product launches in 2026 show that vendors are no longer presenting AI solely as a writing aid, but are positioning it as a system that can plan, recommend, and act across customer workflows. Salesforce expanded its partnership with OpenAI in October 2025 and embedded reasoning, voice, and multimodal capabilities into Agentforce 360, which shows how major platform vendors are bringing agentic personalization into broader enterprise stacks. Insider One also announced a June 2026 partnership with Google that lets brands activate live BigQuery data within AI-orchestrated journeys across web, mobile, email, SMS, RCS, and WhatsApp, signaling that real-time orchestration is moving closer to core production environments. As more enterprises seek fewer handoffs between audience insight, content creation, and campaign action, the preference is shifting toward platforms that can coordinate those functions within a single operating layer. This is strengthening demand for integrated suites and raising the value of vendors that can combine orchestration, data access, and governance in a single solution.

GenAI Significantly Reduces Content Production Costs

The generative AI in personalized marketing content and campaign automation market is also expanding because brands can now create more tailored content without relying on the same level of manual effort that older workflows required. This changes the economics of personalization because a campaign can now support more audience variants, more formats, and more frequent updates inside the same operating cycle. Google Cloud and OTB Group launched an AI-powered, hyper-personalized shopping experience in May 2026 using virtual try-on, demonstrating that personalized creative output is scaling beyond static text into richer visual commerce experiences. Visa introduced an AI Financial Assistant in July 2026 as a service that combines cardholder behavior, transaction intelligence, and institutional data to deliver personalized guidance under bank branding, reflecting the same pattern of higher personalization across recurring customer interactions. When content creation and decision support are easier to scale, brands tend to expand coverage rather than limit it to premium audiences. This supports stronger adoption in the generative AI in personalized marketing content and campaign automation market, because value comes from broader campaign reach as much as from lower unit effort.

Brand Safety Risks, AI Hallucinations, and Output Quality Concerns

The generative AI in personalized marketing content and campaign automation market still faces a major restraint in the form of unreliable output, because personalization loses value quickly when the message is inaccurate, biased, or off-brand. The issue is not theoretical, as IAB reported that 70% of marketers had experienced at least 1 AI incident involving hallucinated outputs, biased creative, or compliance failures in campaigns. The risk becomes more serious when content, decisioning, and delivery are linked together in automated workflows, because one flawed output can spread across several channels before review. Academic work published in 2026 framed AI hallucinations as an enterprise governance problem that calls for audit trails, accountability, and active monitoring rather than simple creative review. This means vendors in the generative AI in personalized marketing content and campaign automation market need to show not only content speed, but also measurable control over brand safety and factual consistency. Enterprises that cannot validate output quality before deployment are likely to move more slowly, which lengthens procurement and implementation cycles.

Other drivers and restraints analyzed in the detailed report include:

1. Rapid Shift Toward Real-Time Customer Personalization
2. Expanding Multimodal AI Capabilities Broaden Application Range
3. Consumer Data Privacy Concerns and Regulatory Compliance Complexity

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

Segment Analysis

Software held a 71.28% share of the generative AI in personalized marketing content and campaign automation market in 2025, which reflects the depth of personalization functions now built into enterprise platforms. Buyers often prefer software-led deployments because they can combine audience data, content generation, journey orchestration, and analytics in one environment. That breadth supports higher switching costs and gives incumbent vendors an advantage when enterprises want to expand from single-use deployments into broader customer engagement programs. Salesforce's October 2025 partnership expansion with OpenAI showed how established platforms are embedding more reasoning, voice, and multimodal capability directly into customer-facing workflows instead of leaving those functions to separate tools.

Services are projected to expand at a 29.24% CAGR through 2031, which makes them the faster-growing offering in the generative AI in personalized marketing content and campaign automation market. This pattern shows that adoption still depends heavily on implementation work, integration support, model tuning, and operating guidance after the initial purchase. The generative AI in personalized marketing content and campaign automation market is still in a phase where many enterprises are moving from acquisition to production, and that creates a steady need for deployment support around data architecture and workflow design. It also suggests that service partners remain important in helping enterprises connect personalization tools to CRM systems, governance processes, and customer experience targets.

Cloud accounted for 77.34% of the generative AI in personalized marketing content and campaign automation market in 2025, which reflects the appeal of managed infrastructure, faster updates, and easier integration with enterprise software. Cloud deployment also gives customers quicker access to new model capabilities without the same internal infrastructure burden. This model fits especially well where personalization programs need to scale across multiple channels and operating regions. The direction of vendor launches supports this pattern, because Google Cloud, Salesforce, and Insider One each tied recent personalization capabilities to cloud-connected data and orchestration environments.

Hybrid deployment is projected to expand at a 29.88% CAGR through 2031, which makes it the fastest-growing deployment mode in the generative AI in personalized marketing content and campaign automation market. The main driver is compliance, because many enterprises want cloud-based AI capability while keeping sensitive customer data and audit records under tighter control. This is especially important in regulated sectors such as banking and healthcare, where data residency and oversight affect both vendor selection and system design. The European regulatory landscape reinforces this trend, as compliance obligations push enterprises toward deployment models that separate inference convenience from data control.

Complete Report Scope:

• By Offering
  • Software
  • Services
• By Deployment Mode
  • Cloud
  • On-Premise
  • Hybrid
• By Application
  • Personalized Content and Creative Generation
  • Campaign Planning and Creation
  • Campaign Automation and Journey Orchestration
  • Dynamic Creative Optimization and Personalization
  • Marketing Copilots and AI Agents
  • Campaign Analytics, Insights, and Optimization
• By End User
  • E-Commerce and Retail
  • BFSI
  • Media and Entertainment
  • Travel and Hospitality
  • Healthcare
  • IT and Telecom
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Europe
    • Germany
    • United Kingdom
    • France
    • Italy
    • Spain
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Egypt
    • Rest of Africa

Geography Analysis

North America held a 40.18% share of the generative AI in personalized marketing content and campaign automation market in 2025, maintaining its leading regional position. The region benefits from mature cloud infrastructure, strong enterprise software penetration, and a high concentration of platform vendors and large buyers. The generative AI in personalized marketing content and campaign automation market is also stronger in North America because many enterprises already have first-party data systems and customer engagement stacks that can support deployment at scale. Visa introduced an AI Financial Assistant in July 2026 for financial institutions, with a pilot rollout to U.S. banks planned for August 2026, a move that reflects active investment in production-grade personalization within mainstream financial services. South America remains earlier in the adoption cycle, with Brazil standing out as the main near-term entry point for broader regional growth.

Asia-Pacific is projected to expand at a 30.94% CAGR through 2031, which makes it the fastest-growing geography in the generative AI in personalized marketing content and campaign automation market. Growth is being driven by expanding digital commerce, strong enterprise adoption in large consumer economies, and public support for AI development across several markets. Singapore's role is visible through OCBC WoW, which brought AI-avatar wealth engagement into mobile banking in July 2026 and showed how customer-facing personalization is moving into daily financial use. Japan also presents latent headroom, because the 2025 White Paper on Information and Communications reported that 55.2% of Japanese businesses used generative AI for work, a lower level than China, the United States, and Germany.

Europe remains a meaningful part of the generative AI in personalized marketing content and campaign automation market, although compliance demands are shaping its pace and architecture more heavily than in some other regions. The EU AI Act and the wider European regulatory setting are pushing vendors and buyers to focus more closely on documentation, oversight, and data handling before scaling deployments. This influence is already visible in enterprise behavior, because SAP Emarsys reported in 2025 that 48% of German marketing leaders had fundamentally changed their AI personalization approach after the EU AI Act's passage. The Middle East is expanding through digital transformation programs in Saudi Arabia and the UAE, while Africa remains at an early stage with South Africa and Egypt as the main initial deployment markets.

1. OpenAI
2. Adobe Inc.
3. Salesforce, Inc.
4. Microsoft Corporation
5. Google LLC
6. Anthropic
7. Klaviyo
8. Oracle Corporation
9. Braze
10. HubSpot, Inc.
11. Jasper AI, Inc.
12. Writer, Inc.
13. Copy.ai, Inc.
14. Anyword Inc.
15. Persado, Inc.
16. Blueshift, Inc.
17. Zeta Global Holdings Corp.
18. Dynamic Yield by Mastercard
19. Optimove Inc.

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 Market Drivers
  • 4.2.1 Rapid Shift Toward Real-Time Personalization at Scale
  • 4.2.2 GenAI Reduces Content Production Cycles Across Channels
  • 4.2.3 Growing Demand for Automated Cross-Channel Campaign Orchestration and Optimization
  • 4.2.4 Increasing Integration of Generative AI with CRM, CDP, and Marketing Automation Platforms
  • 4.2.5 Expansion of Multimodal Creative Generation for Ads, Email, and Social
  • 4.2.6 Growing Pressure to Improve Marketing Productivity and Content ROI
• 4.3 Market Restraints
  • 4.3.1 Brand Safety, Hallucination, and Content Accuracy Risks
  • 4.3.2 Consumer Data Privacy, Consent, and AI Governance Challenges
  • 4.3.3 Integration Complexity Across Fragmented CRM, CDP, and Martech Ecosystems
  • 4.3.4 Copyright, IP, and Content Ownership Concerns
• 4.4 Value Chain Analysis
• 4.5 Market Ecosystem Analysis
• 4.6 Regulatory, Data Privacy, and AI Governance Landscape
• 4.7 Technological Outlook
  • 4.7.1 Large Language Models and Foundation Models
  • 4.7.2 Multimodal Generative AI
  • 4.7.3 Retrieval-Augmented Generation and Brand Grounding
  • 4.7.4 Agentic AI and Autonomous Marketing Agents
  • 4.7.5 Synthetic Media Generation
• 4.8 Porter's Five Forces Analysis
  • 4.8.1 Bargaining Power of Suppliers
  • 4.8.2 Bargaining Power of Buyers
  • 4.8.3 Threat of New Entrants
  • 4.8.4 Threat of Substitutes
  • 4.8.5 Competitive Rivalry

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By Offering
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Deployment Mode
  • 5.2.1 Cloud
  • 5.2.2 On-Premise
  • 5.2.3 Hybrid
• 5.3 By Application
  • 5.3.1 Personalized Content and Creative Generation
  • 5.3.2 Campaign Planning and Creation
  • 5.3.3 Campaign Automation and Journey Orchestration
  • 5.3.4 Dynamic Creative Optimization and Personalization
  • 5.3.5 Marketing Copilots and AI Agents
  • 5.3.6 Campaign Analytics, Insights, and Optimization
• 5.4 By End User
  • 5.4.1 E-Commerce and Retail
  • 5.4.2 BFSI
  • 5.4.3 Media and Entertainment
  • 5.4.4 Travel and Hospitality
  • 5.4.5 Healthcare
  • 5.4.6 IT and Telecom
• 5.5 By Geography
  • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
  • 5.5.2 South America
    • 5.5.2.1 Brazil
    • 5.5.2.2 Argentina
    • 5.5.2.3 Rest of South America
  • 5.5.3 Europe
    • 5.5.3.1 Germany
    • 5.5.3.2 United Kingdom
    • 5.5.3.3 France
    • 5.5.3.4 Italy
    • 5.5.3.5 Spain
    • 5.5.3.6 Russia
    • 5.5.3.7 Rest of Europe
  • 5.5.4 Asia-Pacific
    • 5.5.4.1 China
    • 5.5.4.2 Japan
    • 5.5.4.3 India
    • 5.5.4.4 South Korea
    • 5.5.4.5 Australia
    • 5.5.4.6 Rest of Asia-Pacific
  • 5.5.5 Middle East
    • 5.5.5.1 Saudi Arabia
    • 5.5.5.2 United Arab Emirates
    • 5.5.5.3 Turkey
    • 5.5.5.4 Rest of Middle East
  • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Egypt
    • 5.5.6.3 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 OpenAI
  • 6.4.2 Adobe Inc.
  • 6.4.3 Salesforce, Inc.
  • 6.4.4 Microsoft Corporation
  • 6.4.5 Google LLC
  • 6.4.6 Anthropic
  • 6.4.7 Klaviyo
  • 6.4.8 Oracle Corporation
  • 6.4.9 Braze
  • 6.4.10 HubSpot, Inc.
  • 6.4.11 Jasper AI, Inc.
  • 6.4.12 Writer, Inc.
  • 6.4.13 Copy.ai, Inc.
  • 6.4.14 Anyword Inc.
  • 6.4.15 Persado, Inc.
  • 6.4.16 Blueshift, Inc.
  • 6.4.17 Zeta Global Holdings Corp.
  • 6.4.18 Dynamic Yield by Mastercard
  • 6.4.19 Optimove Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment