AI 검색 광고 시장 : 점유율 분석, 업계 동향 및 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the AI search advertising market size is expected to grow from USD 1.39 billion in 2025 to USD 3.25 billion in 2026 and is forecast to reach USD 32.89 billion by 2031 at 58.87% CAGR over 2026-2031.

This report is Segmented by Offering (Platform Software and Managed Services), Ad Format (Sponsored Links in Search Results, Conversational Search Ads, and More), Deployment (Cloud and On-Premise), Enterprise Size (Large Enterprises, and Small and Medium Enterprises), End User Industry (Retail and E-Commerce, BFSI, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global AI Search Advertising Market Trends and Insights

Expansion of AI-Powered Search Surfaces Across Search and Assistant Experiences

The AI search advertising market entered a new phase when AI search surfaces shifted from product testing to commercial rollout across search and assistant experiences. Google expanded ad visibility within AI-led search journeys through AI Mode and newer Gemini-based formats that place sponsored content closer to answer-generation and discovery flows. Google also introduced Conversational Discovery Ads and Highlighted Answers, expanding the number of monetizable placements available within AI search experiences. Microsoft reported that AI-driven sessions nearly tripled in 2025 and that agentic browser traffic rose sharply, which shows how quickly advertiser-relevant search behavior is moving into AI interfaces. This matters because AI surfaces do not simply add more impressions; they also change where intent becomes visible and where sponsored results can appear. As more discovery, comparison, and answer-led journeys move into these environments, the AI search advertising market gains a larger and more commercially useful inventory base.

Shift From Keyword-Only Targeting to Intent-Aware Ad Delivery

The AI search advertising market is also being driven by the shift from keyword matching to intent-aware ad delivery. Google announced AI Max for Search campaigns left beta in April 2026 and confirmed that Dynamic Search Ads will be upgraded to AI Max from September 2026. That change makes intent modeling a practical requirement for advertisers seeking broad reach across AI-enabled search environments. Google stated that AI Max can deliver more conversions at similar efficiency by matching ads to more complex query behavior than keyword-only setups can capture. Microsoft also presented stronger engagement and conversion outcomes for Copilot ad placements, which supports the case for moving budgets toward AI-led query interpretation and away from narrower legacy targeting logic. The result is a structural change in campaign management, where advertisers increasingly compete on intent coverage, training data quality, and automation readiness rather than on keyword lists alone.

Rising CPC Pressure and Shrinking Visibility Due to AI Overviews and SERP Compression

A near-term constraint on the AI search advertising market is the way AI-generated search layouts can compress visible space and change traffic patterns. As search journeys shift toward AI summaries, recommendation lists, and guided-answer formats, advertisers may face fewer obvious placement opportunities at the top of the page. Google's rollout of ads in AI Mode confirms that monetization remains active inside these surfaces, but it also means visibility is increasingly tied to newer inventory rules and format eligibility requirements. Google's required migration from Dynamic Search Ads to AI Max further suggests that advertisers will need updated campaign structures to compete effectively inside these environments. This can increase operating pressure for smaller advertisers that lack automated bidding, data feedback loops, and in-house optimization resources. The restraint is likely to soften over time, but it remains a meaningful adoption barrier while pricing, placement behavior, and measurement standards are still settling.

Other drivers and restraints analyzed in the detailed report include:

1. Higher Conversion Uplift From Search Campaign Automation and Broad Match Optimization
2. Growing Demand for First-Party Data and Closed-Loop Measurement in Privacy-Constrained Search
3. Limited Inventory and Weak Performance Proof in Standalone AI Chatbot Ads

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

Segment Analysis

Platform software accounted for 78.98% of the AI search advertising market in 2025, which shows how strongly advertisers still rely on native campaign systems controlled by platform owners. These environments sit closest to auction data, intent interpretation, and format eligibility, so they remain central to execution quality and scale. Google's transition from Dynamic Search Ads to AI Max reinforces that the most important product shifts are happening inside core platform infrastructure rather than at the outer edge of the tool stack. Microsoft's open pilot for AI Max for Search also reflected the same pattern, where access to AI-led ad delivery remains tied to the platform layer itself. In practical terms, the dominant role of platform software means advertisers often need to adapt their workflows to the rules, inventory logic, and measurement systems set by a small group of platform owners.

Managed services are projected to expand at a 60.72% CAGR through 2031, indicating a clear execution gap within the AI search advertising industry. Many brands can buy access to AI-led formats, but fewer can manage first-party data feeds, migrate to AI Max, interpret queries, vary creative, and redesign attribution without outside help. That gap is widening as AI search campaigns become less keyword-led and more dependent on automation, cloud delivery, and real-time signal management. Service providers that can translate platform complexity into repeatable operating models are therefore gaining a larger role in campaign setup, governance, and performance tuning. This is why managed services are not displacing platform software, but are scaling alongside it as advertisers try to keep pace with changing AI search workflows.

Sponsored links in search results accounted for 47.79% of the market in 2025, indicating that traditional text-led formats still accounted for the largest share of revenue. That position reflected their familiarity, their broad reach across Google Search and Bing, and the fact that advertisers already had established planning and optimization processes around them. The AI search advertising market still depends on sponsored links for current volume because they remain embedded in mainstream search buying behavior. Even so, format leadership in scale is no longer the same as leadership in momentum. The newer format story is being written by ad units that sit closer to AI-generated answers, discovery prompts, and guided product evaluation.

Conversational search ads are projected to expand at a 68.34% CAGR through 2031, making them the fastest-growing ad format in the AI search advertising market. Google introduced Conversational Discovery Ads and Highlighted Answers in May 2026, which moved sponsored messaging directly into AI Mode recommendation and answer environments. Google also cited consumer research showing that AI Mode users made faster, more confident purchase decisions, which supports the case for in-answer placements that reduce friction along the decision path. Product listing ads and other commerce-led formats are also gaining traction as platforms use AI to explain products at the query level rather than just listing them. This keeps sponsored links relevant in the near term, but it shifts the long-term growth center toward more conversational, context-aware inventory.

Complete Report Scope:

• By offering
  • Platform Software
  • Managed Services
• By Ad Format
  • Sponsored Links in Search Results
  • Conversational Search Ads
  • Product Listing Ads in AI Search Experiences
  • Other Ad Formats (Shopping and Commerce Cards, etc.)
• By Deployment
  • Cloud
  • On-Premise
• By Enterprise Size
  • Large Enterprises
  • Small and Medium Enterprises
• By End User Industry
  • Retail and E-Commerce
  • BFSI
  • Travel and Hospitality
  • Healthcare and Life Sciences
  • Media and Entertainment
  • IT and Telecommunications
  • Automotive
  • Education
  • Other End User Industry
• By Geography
  • North America
    • United States
    • Canada
  • South America
    • Brazil
    • Argentina
    • 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 and Africa
    • Middle East
      • Saudi Arabia
      • United Arab Emirates
      • Rest of Middle East
    • Africa
      • South Africa
      • Rest of Africa

Geography Analysis

North America held 37.78% of the AI search advertising market share in 2025, maintaining the region's lead in both commercial rollout and platform control. The United States remained the operating center for the category because Google, Microsoft, and OpenAI all advanced AI-led ad products from their home-market base. Google made ads available in AI Mode and added new Gemini-based ad formats in 2026, widening monetization pathways in the region. Microsoft also opened AI Max for Search more broadly and extended its availability across Copilot and Bing AI surfaces, strengthening the region's lead in commercial availability. That early access gave North American advertisers a practical advantage in testing formats, building measurement systems, and shaping best practices before many international peers had comparable inventory.

Asia-Pacific is projected to expand at a 63.39% CAGR in the AI search advertising market size through 2031, making it the fastest-growing geography. China provided the strongest scale signal, with its generative AI user base reaching 602 million in December 2025, equal to 42.8% of the population. That user base provides a strong behavioral foundation for AI-led search monetization, even though platform structures differ from those in Western markets. India is becoming more relevant as an adtech engineering and platform support hub, giving the region a broader operational role than demand alone. Australia, South Korea, and Southeast Asia are also contributing to regional expansion as advertisers test AI-enabled formats in mobile-first digital environments.

Europe remains more constrained in the near term because advertiser access to some conversational AI inventory has been less complete than in the United States. The United Kingdom, France, and Germany are leading regional adoption, while Italy and Spain are still earlier in their rollouts and budget migrations. This leaves much of Europe dependent on search ecosystems that already have live scale, narrowing pricing flexibility and slowing multi-platform experimentation. South America remains smaller today, but mobile-led adoption creates room for faster future scaling from a lower base. The Middle East is developing more quickly, with government-backed AI programs supporting digital infrastructure, platform readiness, and enterprise adoption. Saudi Arabia and the UAE are the clearest examples of this acceleration, as national AI policies have made the region more attractive for commercial deployment. Africa remains the earliest-stage geography, with South Africa still the most developed regional market for digital advertising and future AI search monetization.

1. Google LLC
2. Microsoft Corporation
3. Amazon.com, Inc.
4. Yandex N.V.
5. Criteo S.A.
6. NAVER Corporation
7. Baidu, Inc.
8. OpenAI, L.L.C.
9. Perplexity AI, Inc.
10. Adobe Inc.
11. DoubleVerify Holdings, Inc.
12. Moloco, Inc.
13. Verve Group
14. Yahoo Inc.
15. DuckDuckGo, Inc.
16. The Trade Desk, Inc.
17. Semrush Holdings, Inc.
18. Skai, Inc.
19. Optmyzr, Inc.
20. Marin Software Incorporated

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 Expansion of AI-Powered Search Surfaces Across Search and Assistant Experiences
  • 4.2.2 Shift From Keyword-Only Targeting to Intent-Aware Ad Delivery
  • 4.2.3 Higher Conversion Uplift From Search Campaign Automation and Broad Match Optimization
  • 4.2.4 Growing Demand for First-Party Data and Closed-Loop Measurement in Privacy-Constrained Search
  • 4.2.5 Rise of Conversational Commerce and Product Discovery Inside AI Search Journeys
  • 4.2.6 Monetization Push By Platform Owners to Build New Search Ad Inventory
• 4.3 Market Restraints
  • 4.3.1 Limited Inventory and Weak Performance Proof in Standalone AI Chatbot Ads
  • 4.3.2 Rising CPC Pressure and Shrinking Visibility Due to AI Overviews and SERP Compression
  • 4.3.3 Measurement Opacity From Hidden Queries and Zero-Click Search Behavior
  • 4.3.4 Brand Safety, Hallucination Risk, and Inconsistent Context Matching in Generative Search Placements
• 4.4 Industry Value-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Threat of New Entrants
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Bargaining Power of Suppliers
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Competitive Rivalry
• 4.8 Impact of Macroeconomic Factors on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

• 5.1 By offering
  • 5.1.1 Platform Software
  • 5.1.2 Managed Services
• 5.2 By Ad Format
  • 5.2.1 Sponsored Links in Search Results
  • 5.2.2 Conversational Search Ads
  • 5.2.3 Product Listing Ads in AI Search Experiences
  • 5.2.4 Other Ad Formats (Shopping and Commerce Cards, etc.)
• 5.3 By Deployment
  • 5.3.1 Cloud
  • 5.3.2 On-Premise
• 5.4 By Enterprise Size
  • 5.4.1 Large Enterprises
  • 5.4.2 Small and Medium Enterprises
• 5.5 By End User Industry
  • 5.5.1 Retail and E-Commerce
  • 5.5.2 BFSI
  • 5.5.3 Travel and Hospitality
  • 5.5.4 Healthcare and Life Sciences
  • 5.5.5 Media and Entertainment
  • 5.5.6 IT and Telecommunications
  • 5.5.7 Automotive
  • 5.5.8 Education
  • 5.5.9 Other End User Industry
• 5.6 By Geography
  • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
  • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
  • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Italy
    • 5.6.3.5 Spain
    • 5.6.3.6 Rest of Europe
  • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 Japan
    • 5.6.4.3 India
    • 5.6.4.4 South Korea
    • 5.6.4.5 Australia
    • 5.6.4.6 Rest of Asia-Pacific
  • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
      • 5.6.5.1.1 Saudi Arabia
      • 5.6.5.1.2 United Arab Emirates
      • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
      • 5.6.5.2.1 South Africa
      • 5.6.5.2.2 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 Google LLC
  • 6.4.2 Microsoft Corporation
  • 6.4.3 Amazon.com, Inc.
  • 6.4.4 Yandex N.V.
  • 6.4.5 Criteo S.A.
  • 6.4.6 NAVER Corporation
  • 6.4.7 Baidu, Inc.
  • 6.4.8 OpenAI, L.L.C.
  • 6.4.9 Perplexity AI, Inc.
  • 6.4.10 Adobe Inc.
  • 6.4.11 DoubleVerify Holdings, Inc.
  • 6.4.12 Moloco, Inc.
  • 6.4.13 Verve Group
  • 6.4.14 Yahoo Inc.
  • 6.4.15 DuckDuckGo, Inc.
  • 6.4.16 The Trade Desk, Inc.
  • 6.4.17 Semrush Holdings, Inc.
  • 6.4.18 Skai, Inc.
  • 6.4.19 Optmyzr, Inc.
  • 6.4.20 Marin Software Incorporated

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-Space and Unmet-Need Assessment