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세계의 AI 검색 엔진 시장 규모, 점유율, 업계 분석 리포트 : 조직 규모별, 배포별, 기술별, 최종 용도별, 지역별 전망 및 예측(2025-2032년)

Global AI Search Engine Market Size, Share & Industry Analysis Report By Organization Size, By Deployment, By Technology, By End Use, By Regional Outlook and Forecast, 2025 - 2032

발행일: | 리서치사: KBV Research | 페이지 정보: 영문 587 Pages | 배송안내 : 즉시배송

    
    
    



※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

AI 검색 엔진 시장 규모는 예측 기간 중 13.3%의 CAGR로 시장 성장하며, 2032년까지 420억 3,000만 달러에 달할 것으로 예상되고 있습니다.

주요 하이라이트:

  • 2024년 AI 검색엔진 시장은 북미 시장이 지배적인 시장으로, 2024년 38.20%의 매출 점유율을 차지했습니다.
  • 미국 시장은 2032년까지 시장 규모가 116억 3,000만 달러에 달할 것으로 예상되며, 북미 시장에서의 리더십을 유지할 것으로 전망됩니다.
  • 조직 규모별로는 대기업 부문이 2024년 61.25%의 매출 점유율을 차지하며 세계 시장을 독점했습니다.
  • 배포 측면에서는 클라우드 부문이 2032년까지 55.81%의 매출 점유율을 차지하며 세계 시장을 선도할 것으로 예측됩니다.
  • 머신러닝 시장은 2024년 주요 기술로 부상하여 29.64%의 매출 점유율을 획득하며, 예측 기간 중에도 우위성을 유지할 것으로 예측됩니다.
  • 최종 용도 소매 및 E-Commerce 시장은 2032년 82억 9,000만 달러 규모로 성장할 것으로 예상되며, 예측 기간 중 지배적인 위치를 유지할 것으로 예측됩니다.

AI 검색 엔진 시장은 멀티모달 입력, 직접적인 답변 생성, 문맥 이해를 결합한 고급 플랫폼으로 발전해 왔습니다. 초기에는 링크 기반 랭킹과 키워드 매칭에 중점을 두었지만, AI의 발전으로 엔진은 의미론, 사용자 맥락, 의도를 해석할 수 있게 되었습니다. Microsoft와 Google과 같은 주요 기업은 개인화된 추천, 간결한 지식 요약, 대화형 경험을 제공하기 위해 생성형 AI를 검색에 통합하여 이러한 전환을 지원하고 있습니다. 멀티모달 검색과 작업 중심의 복잡한 쿼리를 처리할 수 있는 기능에 대한 사용자들의 요구는 기대치를 재구성했습니다. 정보 출처 귀속, 데이터 프라이버시, 투명성에 대한 규제 요건도 현대적 검색 설계를 지원하며, 엔진이 혁신뿐만 아니라 신뢰성과 사용자 신뢰를 우선시하도록 보장합니다.

AI 검색엔진 시장은 구글, 마이크로소프트 등 시장 기업의 지원을 받아 치열한 경쟁을 벌이고 있습니다. 구글은 Gemini 모델, 세계 생태계, 그리고 AI Overviews를 통해 시장 지위를 유지하고 있습니다. 한편, 마이크로소프트는 OpenAI와의 제휴를 통해 Edge와 Bing을 생산성 향상 툴을 갖춘 어시스턴트 같은 플랫폼으로 포지셔닝하고 있습니다. 또한 Perplexity AI나 You.com과 같은 소규모 업체들은 문자열 인용, 업종별 검색, 프라이버시 보호에 초점을 맞추었습니다. 기업은 변화하는 정책적 요구에 대응하기 위해 AI 인재, 규제 대응, 인프라에 투자하고 있습니다. AI 검색엔진 시장은 기술 발전과 더불어 적응성, 투명성, 그리고 신뢰성이 특징입니다.

KBV Cardinal matrix- AI 검색 엔진 시장 경쟁 분석

KBV Cardinal matrix에서 제시한 분석에 따르면 Google LLC와 Microsoft Corporation은 AI 검색엔진 시장의 선두주자입니다. 2025년 6월, Google LLC는 미국 사용자를 위한 AI 모드의 라이브 검색을 발표했습니다. 이는 AI가 생성한 음성 답변과 웹 링크를 통한 실시간 음성 대화를 가능하게 합니다. 커스텀 Gemini 모델을 탑재한 이 기능은 문맥을 기억하고, 트랜스크립트를 제공하며, 앱 간 연속적인 검색이 가능합니다. 이 대화형 검색은 자연스러운 음성 기반 AI 검색 경험으로의 큰 전환을 보여주고 있습니다. Baidu, Inc., Perplexity AI, You.com 등의 기업은 AI 검색 엔진 시장의 주요 혁신 기업입니다.

COVID-19의 영향 분석

COVID-19 팬데믹은 많은 분야에서 디지털 기술의 활용을 가속화하고, AI 검색엔진 시장에 약간의 긍정적인 영향을 미쳤습니다. 사람들은 업무, 학교, 쇼핑, 커뮤니케이션 등을 위해 온라인 플랫폼을 점점 더 많이 사용하게 되었고, 보다 스마트하고 개인화된 검색 툴이 필요하게 되었습니다. 자연 언어 처리(NLP)와 머신러닝을 활용한 AI 기반 검색 엔진은 지식 관리를 용이하게 하고, 생산성을 향상시키며, 다국어 검색을 가능하게 합니다. 헬스케어, E-Commerce 등의 산업은 AI 검색을 통해 조사가 쉬워지고, COVID-19 데이터 확인과 제품 검색이 용이해져 큰 수혜를 입었습니다. 초기에는 경제가 불투명했으나, 고급 디지털 툴에 대한 수요로 인해 시장은 꾸준히 성장하여 지능형 검색 기술이 기업에 얼마나 중요한지 보여주었습니다. 이처럼 COVID-19 팬데믹은 시장에 약간의 긍정적인 영향을 미쳤습니다.

조직 규모 전망

조직 규모에 따라 시장은 대기업과 중소기업으로 분류됩니다. 중소기업 부문은 2024년 시장 매출의 39%를 차지할 것으로 예측됩니다. 중소기업은 생산성 향상, 지식 관리 개선, 고객 참여 강화에 있으며, AI를 활용한 검색 툴의 역할을 점점 더 많이 인식하고 있습니다. 리소스의 제약으로 인해 대규모 도입이 제한되는 경우도 있지만, 중소기업은 업무 요구에 맞게 맞춤형으로 비용 효율적이고 확장성이 높은 AI 검색 솔루션을 꾸준히 도입하고 있습니다.

전개 전망

도입 형태에 따라 시장은 클라우드와 On-Premise로 구분됩니다. On-Premise 부문은 2024년 시장 매출 점유율의 42%를 차지했습니다. 이 부문은 특히 통제, 데이터 주권, 내부 거버넌스를 중요시하는 조직에서 계속해서 시장에서 큰 비중을 차지하고 있습니다. 정부기관, 국방, 금융기관 등 엄격한 컴플라이언스 요건과 기밀 데이터를 취급해야 하는 많은 기업이 On-Premise 환경을 선호하고 있습니다. On-Premise 환경은 보안 프레임워크, 성능 모니터링, 인프라 관리를 조직의 필요에 따라 완전히 맞춤화할 수 있습니다.

지역 전망

지역별로는 북미, 유럽, 아시아태평양 및 LAMEA에서 AI 검색 엔진 시장이 분석되고 있습니다. 북미 부문은 2024년 시장에서 38%의 매출 점유율을 기록할 것으로 예측됩니다. AI 검색엔진 시장은 북미와 유럽에서 큰 폭의 성장이 예상됩니다. 생성형 AI의 조기 도입, 엄격한 규제 프레임워크, 강력한 기술 생태계가 시장을 주도하고 있습니다. 북미에는 Open AI, Microsoft, Google 등 주요 시장 기업이 거점을 두고 있으며, 고액의 R&D 투자, 대규모 데이터센터 인프라, AI 인재 풀을 활용하고 있습니다. 또한 이 지역에서는 클라우드 플랫폼, 고객용 용도, 생산성 툴에 AI 검색을 통합하여 빠른 속도로 도입이 진행되고 있습니다. 또한 유럽의 AI 검색엔진 시장은 확대되고 있습니다. 이는 EU AI 법과 같은 규제 구상의 지원으로, 엄격한 데이터 프라이버시 규정으로 인해 기업은 정보 출처의 귀속, 윤리적 보호, 투명성을 우선시하도록 장려하고 있습니다. 또한 유럽에서의 기술 발전도 AI 검색 엔진의 확장을 지원하고 있습니다.

아시아태평양 및 LAMEA 지역에서는 AI 검색 엔진 시장이 예측 기간 중 큰 점유율을 차지했습니다.이러한 성장은 인터넷 보급률의 확대와 디지털화의 급속한 진전에 힘입은 바 큽니다. 아시아태평양은 AI에 많은 투자를 하고 있으며, 지역 기업은 경쟁력 있는 검색 기술을 개발하고 있습니다. 또한 이 지역에서는 현지화된 멀티모달 AI 검색 기능에 대한 수요가 급증하고 있습니다. LAMEA 지역에서도 AI 검색엔진 시장의 성장을 볼 수 있습니다. 모바일 퍼스트의 인터넷 이용 확대와 정부 지원의 디지털화 정책으로 시장은 점점 더 탄력을 받고 있습니다. LAMEA와 아시아태평양은 접근성과 가격의 경제성이 향상됨에 따라 AI 검색 엔진 시장에서 큰 성장이 예상됩니다.

시장 경쟁과 특성

AI 검색엔진 시장은 기술의 급격한 변화와 사용자 니즈의 다양화로 인해 경쟁이 매우 치열한 시장입니다. 각 업체들은 타사와의 차별화를 위해 자연 언어 이해, 문맥 정확도, 개인화를 향상시키기 위해 노력하고 있습니다. 또한 다른 디지털 생태계와의 통합, AI의 윤리적 활용, 프라이버시 보호를 위한 솔루션 개발 등에서도 시장은 치열한 경쟁을 벌이고 있습니다. 생성 및 멀티모달 기능에 대한 관심이 높아짐에 따라 경쟁은 지속적인 개선, 전략적 파트너십, 그리고 다양한 사용자와 산업을 끌어들일 수 있는 틈새 용도를 모색하도록 유도하고 있습니다.

목차

제1장 시장 범위와 조사 방법

  • 시장의 정의
  • 목적
  • 시장 범위
  • 세분화
  • 조사 방법

제2장 시장 개관

  • 주요 하이라이트

제3장 시장 개요

  • 서론
    • 개요
      • 시장 구성과 시나리오
  • 시장에 영향을 미치는 주요 요인
    • 시장 성장 촉진요인
    • 시장 성장 억제요인
    • 시장 기회
    • 시장이 해결해야 할 과제

제4장 시장 동향 - AI 검색 엔진 시장

제5장 경쟁의 현황 - AI 검색 엔진 시장

제6장 AI 검색 엔진 시장의 밸류체인 분석

제7장 제품수명주기 - AI 검색 엔진 시장

제8장 시장 통합 - AI 검색 엔진 시장

제9장 주요 고객 기준 - AI 검색 엔진 시장

제10장 경쟁 분석 - 세계

  • KBV Cardinal Matrix
  • 최근 업계 전체의 전략적 개발
    • 파트너십, 협업 및 계약
    • 제품 발매와 제품 확대
  • 주요 성공 전략
    • 주요 전략
  • Porter's Five Forces 분석

제11장 세계의 AI 검색 엔진 시장 : 조직 규모별

  • 세계의 대기업 시장 : 지역별
  • 세계의 중소기업 시장 : 지역별

제12장 세계의 AI 검색 엔진 시장 : 배포별

  • 세계의 클라우드 시장 : 지역별
  • 세계의 온프레미스 시장 : 지역별

제13장 세계의 AI 검색 엔진 시장 : 기술별

  • 세계의 기계학습 시장 : 지역별
  • 세계의 자연언어처리(NLP) 시장 : 지역별
  • 세계의 생성형 AI 시장 : 지역별
  • 세계의 컴퓨터 비전 시장 : 지역별
  • 세계의 기타 테크놀러지 시장 : 지역별

제14장 세계의 AI 검색 엔진 시장 : 최종 용도별

  • 세계의 소매·E-Commerce 시장 : 지역별
  • 세계의 IT·통신 시장 : 지역별
  • 세계의 BFSI 시장 : 지역별
  • 세계의 헬스케어 시장 : 지역별
  • 세계의 미디어 & 엔터테인먼트 시장 : 지역별
  • 세계의 교육 시장 : 지역별
  • 세계의 여행·접객(Hoapitality) 시장 : 지역별
  • 세계의 제조 시장 : 지역별
  • 세계의 기타 최종 용도 시장 : 지역별

제15장 세계의 AI 검색 엔진 시장 : 지역별

  • 북미
  • 시장에 영향을 미치는 주요 요인
    • 북미의 시장 : 국가별
      • 미국
      • 캐나다
      • 멕시코
      • 기타 북미 지역
  • 유럽
  • 시장에 영향을 미치는 주요 요인
    • 유럽의 시장 : 국가별
      • 독일
      • 영국
      • 프랑스
      • 러시아
      • 스페인
      • 이탈리아
      • 기타 유럽 지역
  • 아시아태평양
  • 시장에 영향을 미치는 주요 요인
    • 아시아태평양의 시장 : 국가별
      • 중국
      • 일본
      • 인도
      • 한국
      • 호주
      • 기타 아시아태평양
  • 라틴아메리카·중동 및 아프리카
  • 시장에 영향을 미치는 주요 요인
    • 라틴아메리카·중동 및 아프리카의 시장 : 국가별
      • 브라질
      • 아르헨티나
      • 아랍에미리트
      • 사우디아라비아
      • 남아프리카공화국
      • 나이지리아
      • 기타 라틴아메리카·중동 및 아프리카 지역

제16장 기업 개요

  • Google LLC
  • Microsoft Corporation
  • OpenAI, LLC
  • Baidu, Inc
  • Perplexity AI
  • Anthropic PBC
  • DeepSeek
  • Komoai
  • Youcom
  • Phind

제17장 AI 검색 엔진 시장의 성공 필수 조건

KSA 25.10.24

The Global AI Search Engine Market size is expected to reach $42.03 billion by 2032, rising at a market growth of 13.3% CAGR during the forecast period.

Key Highlights:

  • The North America market dominated Global AI Search Engine Market in 2024, accounting for a 38.20% revenue share in 2024.
  • The U.S. market is projected to maintain its leadership in North America, reaching a market size of USD 11.63 billion by 2032.
  • Among the Organization Size, the Large Enterprises segment dominated the global market, contributing a revenue share of 61.25% in 2024.
  • In terms of Deployment, Cloud segment are expected to lead the global market, with a projected revenue share of 55.81% by 2032.
  • The Machine Learning market emerged as the leading Technology in 2024, capturing a 29.64% revenue share, and is projected to retain its dominance during the forecast period.
  • The Retail & E-commerce Market in End Use is poised to grow at the market in 2032 with a market size of USD 8.29 billion and is projected to maintain its dominant position throughout the forecast period.

The AI search engine market has developed as a sophisticated platform that combines multimodal inputs, direct answer generation, and contextual understanding. Initially, systems focused on link-based ranking and keyword matching, but the growth of AI allows engines to interpret semantics, user context, and intent. Key players like Microsoft and Google have supported the transition, integrating generative AI into search with the aim of delivering personalized recommendations, concise knowledge summaries, and conversational experiences. User demand for multimodal search and the capability to handle task-oriented, complex queries has re-built expectations. Regulatory requirements around source attribution, data privacy, and transparency have also supported modern search design, assuring that engines prioritize credibility and user trust along with innovation.

The competition is high in the AI search engine market, supported by market players like Google and Microsoft. Google maintains market position via its Gemini models, global ecosystem reach, and AI Overviews, while Microsoft use its OpenAI collaboration to position Edge, and Bing as assistant-like platforms deployed with productivity tools. Further, small players like Perplexity AI and You.com are focused on string citation practices, vertical-specific search, and privacy. Companies are investing in AI talent, regulatory engagement, and infrastructure to align with changing policy demands. The AI search engine market is defined by adaptability, transparency, and trust alongside technological advancement.

The major strategies followed by the market participants are Product Launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In July, 2025, Baidu, Inc. unveiled MuseSteamer, an AI-driven video generator for businesses, alongside a major search engine upgrade. The search enhancements include longer queries, voice and image search, and AI-powered targeted content. Aimed at competing with AI chatbots like ByteDance's Doubao, Baidu focuses on business users rather than consumers. Moreover, In July, 2025, Perplexity AI unveiled Comet, an AI-powered web browser for select subscribers, integrating enterprise apps like Slack and enabling complex voice or text queries. Initially available to Perplexity Max users at $200/month, Comet complements the company's AI search engine, aiming to deliver accurate, trustworthy answers while enhancing human intelligence online.

KBV Cardinal Matrix - AI Search Engine Market Competition Analysis

Based on the Analysis presented in the KBV Cardinal matrix; Google LLC and Microsoft Corporation are the forerunners in the AI Search Engine Market. In June, 2025, Google LLC unveiled Search Live in AI Mode for U.S. users, enabling real-time voice conversations with AI-generated audio answers and web links. Powered by a custom Gemini model, it remembers context, offers transcripts, and continues across apps. This conversational search signals a major shift toward natural, voice-driven AI search experiences. Companies such as Baidu, Inc., Perplexity AI, You.com are some of the key innovators in AI Search Engine Market.

COVID 19 Impact Analysis

The COVID-19 pandemic had a small positive effect on the AI search engine market by speeding up the use of digital technology in many fields. People needed smarter and more personalized search tools because they were using online platforms more and more for work, school, shopping, and communication. AI-powered search engines that used natural language processing (NLP) and machine learning made it easier to manage knowledge, boosted productivity, and let people search in more than one language. Industries like healthcare and e-commerce really benefited from AI search because it made research easier, helped them look at COVID-19 data, and made it easier to find products. Even though the economy was uncertain at first, the need for advanced digital tools kept the market growing at a steady pace, showing how important intelligent search technologies are for businesses. Thus, the COVID-19 pandemic had a slightly positive impact on the market.

Organization Size Outlook

Based on Organization Size, the market is segmented into Large Enterprises, and SMEs. The SMEs segment recorded 39% revenue share in the market in 2024. Small and medium-sized enterprises increasingly recognize the role of AI-driven search tools in improving productivity, enabling better knowledge management, and enhancing customer engagement. While resource constraints can sometimes limit large-scale deployments, SMEs are steadily adopting cost-effective, scalable AI search solutions tailored to their operational needs.

Deployment Outlook

Based on Deployment, the market is segmented into Cloud, and On-premises. The on-premises segment held 42% revenue share in the market in 2024. This segment continues to hold a place in the market, especially among organizations that prioritize control, data sovereignty, and internal governance. Many enterprises with strict compliance requirements or sensitive data handling, such as government agencies, defense, and financial institutions, prefer on-premises setups. These deployments allow for complete customization of security frameworks, performance monitoring, and infrastructure management according to specific organizational needs.

Regional Outlook

Region-wise, the AI search engine market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The North America segment recorded 38% revenue share in the market in 2024. The AI search engine market is anticipated to grow at a significant rate in North America and Europe. The market is driven by the early acceptance of generative AI, a stringent regulatory framework, and strong technological ecosystems. The North America region is home to major market players such as Open AI, Microsoft, and Google, taking advantage of high R&D investment, extensive data centre infrastructure, and AI talent pools. Further, the region also witnesses rapid adoption due to the integration of AI search into cloud platforms, customer-facing applications, and productivity tools. Moreover, Europe AI search engine market is experiencing expansion. This is due to support by regulatory initiatives like the EU AI Act, strict data privacy rules encourage companies to prioritize source attribution, ethical safeguard, and transparency. Also, the technological advancement in Europe region is supporting the expansion of the AI search engine.

In the Asia Pacific and LAMEA, the AI search engine market is estimated to capture a significant market share in the forecast period. The growth is supported by expanding internet penetration and rapid digital acceptance. The Asia Pacific region is investing heavily in AI, with regional enterprises developing competitive search technologies. The region is also witnessing surge in demand for localized and multimodal AI search capabilities. The LAMEA region is also witnessing growth in the AI search engine market. The market is gaining momentum due to expanding mobile-first internet usage and government supported digital agendas. With improving accessibility and affordability, LAMEA and the Asia Pacific are anticipated to grow significantly in the AI search engine market.

Market Competition and Attributes

The AI search engine market is very competitive because technology is changing quickly and user needs are changing as well. To set themselves apart, players work on improving natural language understanding, contextual accuracy, and personalization. There is also competition in the market when it comes to things like integrating with other digital ecosystems, using AI in an ethical way, and making solutions that protect privacy. As interest in generative and multimodal capabilities grows, competition drives ongoing improvements, strategic partnerships, and the search for niche applications to attract a wide range of users and industries.

Recent Strategies Deployed in the Market

  • Aug-2025: Perplexity AI announced the partnership with Trump Media, a social media company to launch Truth Search AI on Truth Social, providing users with summarized answers from news articles and online sources. Powered by Perplexity's Sonar API, the feature allows source customization, enhancing information access, while differences in source diversity have emerged compared to Perplexity's main platform.
  • Aug-2025: Anthropic PBC unveiled a browser-based AI agent, Claude for Chrome, available to 1,000 Max plan subscribers. The agent maintains browser context, performs tasks, and requires user permission for sensitive actions. This move reflects the growing competition among AI labs, like Perplexity and OpenAI, to integrate AI seamlessly into web browsers.
  • Jul-2025: Perplexity AI teamed up with Coinbase to provide a real-time crypto data service, integrating market data like the COIN50 index into Perplexity's AI search engine. This collaboration aims to enhance traders' decision-making through conversational interfaces, phased rollouts, and deeper integration of cryptocurrency insights into AI-driven search and analytics.
  • Jun-2025: Perplexity AI teamed up with LegalZoom to offer legal services to Perplexity Pro users, integrating expert-backed legal solutions into the AI answer engine. The collaboration provides real-time, credible legal guidance, discounts, and support for individuals and small businesses, reflecting the growing role of AI search platforms in delivering specialized, on-demand services.
  • May-2025: Google LLC unveiled "AI Mode" and integrated its Gemini 2.5 model into search. This conversational upgrade offers advanced features like live-video queries and ticket purchases, aiming to keep Google's dominance amid rising AI competitors. Early adoption shows reduced web traffic but stronger user engagement with AI-generated overviews.
  • May-2025: Perplexity AI teamed up with Wiley, a Publishing company to integrate its scholarly content into Perplexity's AI-driven search platform, enabling students, educators, and researchers to access trusted, cited resources. The collaboration enhances academic research, promotes responsible AI usage, and provides real-time, authoritative answers, supporting AI adoption in education across global institutions.

List of Key Companies Profiled

  • Google LLC
  • Microsoft Corporation
  • OpenAI, LLC
  • Baidu, Inc.
  • Perplexity AI
  • Anthropic PBC
  • DeepSeek
  • Komo.ai
  • You.com
  • Phind

Global AI Search Engine Market Report Segmentation

By Organization Size

  • Large Enterprises
  • SMEs

By Deployment

  • Cloud
  • On-premises

By Technology

  • Machine Learning
  • Natural Language Processing (NLP)
  • Generative AI
  • Computer Vision
  • Other Technology

By End Use

  • Retail & E-commerce
  • IT & Telecom
  • BFSI
  • Healthcare
  • Media & Entertainment
  • Education
  • Travel & Hospitality
  • Manufacturing
  • Other End Uses

By Geography

  • North America
    • US
    • Canada
    • Mexico
    • Rest of North America
  • Europe
    • Germany
    • UK
    • France
    • Russia
    • Spain
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Malaysia
    • Rest of Asia Pacific
  • LAMEA
    • Brazil
    • Argentina
    • UAE
    • Saudi Arabia
    • South Africa
    • Nigeria
    • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

  • 1.1 Market Definition
  • 1.2 Objectives
  • 1.3 Market Scope
  • 1.4 Segmentation
    • 1.4.1 Global AI Search Engine Market, by Organization Size
    • 1.4.2 Global AI Search Engine Market, by Deployment
    • 1.4.3 Global AI Search Engine Market, by Technology
    • 1.4.4 Global AI Search Engine Market, by End Use
    • 1.4.5 Global AI Search Engine Market, by Geography
  • 1.5 Methodology for the research

Chapter 2. Market at a Glance

  • 2.1 Key Highlights

Chapter 3. Market Overview

  • 3.1 Introduction
    • 3.1.1 Overview
      • 3.1.1.1 Market Composition and Scenario
  • 3.2 Key Factors Impacting the Market
    • 3.2.1 Market Drivers
    • 3.2.2 Market Restraints
    • 3.2.3 Market Opportunities
    • 3.2.4 Market Challenges

Chapter 4. Market Trends - AI Search Engine Market

Chapter 5. State of Competition - AI Search Engine Market

Chapter 6. Value Chain Analysis of AI Search Engine Market

Chapter 7. Product Life Cycle - AI Search Engine Market

Chapter 8. Market Consolidation - AI Search Engine Market

Chapter 9. Key Customer Criteria - AI Search Engine Market

Chapter 10. Competition Analysis - Global

  • 10.1 KBV Cardinal Matrix
  • 10.2 Recent Industry Wide Strategic Developments
    • 10.2.1 Partnerships, Collaborations and Agreements
    • 10.2.2 Product Launches and Product Expansions
  • 10.3 Top Winning Strategies
    • 10.3.1 Key Leading Strategies: Percentage Distribution (2021-2025)
  • 10.4 Porter Five Forces Analysis

Chapter 11. Global AI Search Engine Market by Organization Size

  • 11.1 Global Large Enterprises Market by Region
  • 11.2 Global SMEs Market by Region

Chapter 12. Global AI Search Engine Market by Deployment

  • 12.1 Global Cloud Market by Region
  • 12.2 Global On-premises Market by Region

Chapter 13. Global AI Search Engine Market by Technology

  • 13.1 Global Machine Learning Market by Region
  • 13.2 Global Natural Language Processing (NLP) Market by Region
  • 13.3 Global Generative AI Market by Region
  • 13.4 Global Computer Vision Market by Region
  • 13.5 Global Other Technology Market by Region

Chapter 14. Global AI Search Engine Market by End Use

  • 14.1 Global Retail & E-commerce Market by Region
  • 14.2 Global IT & Telecom Market by Region
  • 14.3 Global BFSI Market by Region
  • 14.4 Global Healthcare Market by Region
  • 14.5 Global Media & Entertainment Market by Region
  • 14.6 Global Education Market by Region
  • 14.7 Global Travel & Hospitality Market by Region
  • 14.8 Global Manufacturing Market by Region
  • 14.9 Global Other End Uses Market by Region

Chapter 15. Global AI Search Engine Market by Region

  • 15.1 North America AI Search Engine Market
  • 15.2 Key Factors Impacting the Market
    • 15.2.1 Market Drivers
    • 15.2.2 Market Restraints
    • 15.2.3 Market Opportunities
    • 15.2.4 Market Challenges
    • 15.2.5 Market Trends - North America AI Search Engine Market
    • 15.2.6 State of Competition - North America AI Search Engine Market
    • 15.2.7 North America AI Search Engine Market by Organization Size
      • 15.2.7.1 North America Large Enterprises Market by Region
      • 15.2.7.2 North America SMEs Market by Region
    • 15.2.8 North America AI Search Engine Market by Deployment
      • 15.2.8.1 North America Cloud Market by Country
      • 15.2.8.2 North America On-premises Market by Country
    • 15.2.9 North America AI Search Engine Market by Technology
      • 15.2.9.1 North America Machine Learning Market by Country
      • 15.2.9.2 North America Natural Language Processing (NLP) Market by Country
      • 15.2.9.3 North America Generative AI Market by Country
      • 15.2.9.4 North America Computer Vision Market by Country
      • 15.2.9.5 North America Other Technology Market by Country
    • 15.2.10 North America AI Search Engine Market by End Use
      • 15.2.10.1 North America Retail & E-commerce Market by Country
      • 15.2.10.2 North America IT & Telecom Market by Country
      • 15.2.10.3 North America BFSI Market by Country
      • 15.2.10.4 North America Healthcare Market by Country
      • 15.2.10.5 North America Media & Entertainment Market by Country
      • 15.2.10.6 North America Education Market by Country
      • 15.2.10.7 North America Travel & Hospitality Market by Country
      • 15.2.10.8 North America Manufacturing Market by Country
      • 15.2.10.9 North America Other End Uses Market by Country
    • 15.2.11 North America AI Search Engine Market by Country
      • 15.2.11.1 US AI Search Engine Market
        • 15.2.11.1.1 US AI Search Engine Market by Organization Size
        • 15.2.11.1.2 US AI Search Engine Market by Deployment
        • 15.2.11.1.3 US AI Search Engine Market by Technology
        • 15.2.11.1.4 US AI Search Engine Market by End Use
      • 15.2.11.2 Canada AI Search Engine Market
        • 15.2.11.2.1 Canada AI Search Engine Market by Organization Size
        • 15.2.11.2.2 Canada AI Search Engine Market by Deployment
        • 15.2.11.2.3 Canada AI Search Engine Market by Technology
        • 15.2.11.2.4 Canada AI Search Engine Market by End Use
      • 15.2.11.3 Mexico AI Search Engine Market
        • 15.2.11.3.1 Mexico AI Search Engine Market by Organization Size
        • 15.2.11.3.2 Mexico AI Search Engine Market by Deployment
        • 15.2.11.3.3 Mexico AI Search Engine Market by Technology
        • 15.2.11.3.4 Mexico AI Search Engine Market by End Use
      • 15.2.11.4 Rest of North America AI Search Engine Market
        • 15.2.11.4.1 Rest of North America AI Search Engine Market by Organization Size
        • 15.2.11.4.2 Rest of North America AI Search Engine Market by Deployment
        • 15.2.11.4.3 Rest of North America AI Search Engine Market by Technology
        • 15.2.11.4.4 Rest of North America AI Search Engine Market by End Use
  • 15.3 Europe AI Search Engine Market
  • 15.4 Key Factors Impacting the Market
    • 15.4.1 Market Drivers
    • 15.4.2 Market Restraints
    • 15.4.3 Market Opportunities
    • 15.4.4 Market Challenges
    • 15.4.5 Market Trends - Europe AI Search Engine Market
    • 15.4.6 State of Competition - Europe AI Search Engine Market
    • 15.4.7 Europe AI Search Engine Market by Organization Size
      • 15.4.7.1 Europe Large Enterprises Market by Country
      • 15.4.7.2 Europe SMEs Market by Country
    • 15.4.8 Europe AI Search Engine Market by Deployment
      • 15.4.8.1 Europe Cloud Market by Country
      • 15.4.8.2 Europe On-premises Market by Country
    • 15.4.9 Europe AI Search Engine Market by Technology
      • 15.4.9.1 Europe Machine Learning Market by Country
      • 15.4.9.2 Europe Natural Language Processing (NLP) Market by Country
      • 15.4.9.3 Europe Generative AI Market by Country
      • 15.4.9.4 Europe Computer Vision Market by Country
      • 15.4.9.5 Europe Other Technology Market by Country
    • 15.4.10 Europe AI Search Engine Market by End Use
      • 15.4.10.1 Europe Retail & E-commerce Market by Country
      • 15.4.10.2 Europe IT & Telecom Market by Country
      • 15.4.10.3 Europe BFSI Market by Country
      • 15.4.10.4 Europe Healthcare Market by Country
      • 15.4.10.5 Europe Media & Entertainment Market by Country
      • 15.4.10.6 Europe Education Market by Country
      • 15.4.10.7 Europe Travel & Hospitality Market by Country
      • 15.4.10.8 Europe Manufacturing Market by Country
      • 15.4.10.9 Europe Other End Uses Market by Country
    • 15.4.11 Europe AI Search Engine Market by Country
      • 15.4.11.1 Germany AI Search Engine Market
        • 15.4.11.1.1 Germany AI Search Engine Market by Organization Size
        • 15.4.11.1.2 Germany AI Search Engine Market by Deployment
        • 15.4.11.1.3 Germany AI Search Engine Market by Technology
        • 15.4.11.1.4 Germany AI Search Engine Market by End Use
      • 15.4.11.2 UK AI Search Engine Market
        • 15.4.11.2.1 UK AI Search Engine Market by Organization Size
        • 15.4.11.2.2 UK AI Search Engine Market by Deployment
        • 15.4.11.2.3 UK AI Search Engine Market by Technology
        • 15.4.11.2.4 UK AI Search Engine Market by End Use
      • 15.4.11.3 France AI Search Engine Market
        • 15.4.11.3.1 France AI Search Engine Market by Organization Size
        • 15.4.11.3.2 France AI Search Engine Market by Deployment
        • 15.4.11.3.3 France AI Search Engine Market by Technology
        • 15.4.11.3.4 France AI Search Engine Market by End Use
      • 15.4.11.4 Russia AI Search Engine Market
        • 15.4.11.4.1 Russia AI Search Engine Market by Organization Size
        • 15.4.11.4.2 Russia AI Search Engine Market by Deployment
        • 15.4.11.4.3 Russia AI Search Engine Market by Technology
        • 15.4.11.4.4 Russia AI Search Engine Market by End Use
      • 15.4.11.5 Spain AI Search Engine Market
        • 15.4.11.5.1 Spain AI Search Engine Market by Organization Size
        • 15.4.11.5.2 Spain AI Search Engine Market by Deployment
        • 15.4.11.5.3 Spain AI Search Engine Market by Technology
        • 15.4.11.5.4 Spain AI Search Engine Market by End Use
      • 15.4.11.6 Italy AI Search Engine Market
        • 15.4.11.6.1 Italy AI Search Engine Market by Organization Size
        • 15.4.11.6.2 Italy AI Search Engine Market by Deployment
        • 15.4.11.6.3 Italy AI Search Engine Market by Technology
        • 15.4.11.6.4 Italy AI Search Engine Market by End Use
      • 15.4.11.7 Rest of Europe AI Search Engine Market
        • 15.4.11.7.1 Rest of Europe AI Search Engine Market by Organization Size
        • 15.4.11.7.2 Rest of Europe AI Search Engine Market by Deployment
        • 15.4.11.7.3 Rest of Europe AI Search Engine Market by Technology
        • 15.4.11.7.4 Rest of Europe AI Search Engine Market by End Use
  • 15.5 Asia Pacific AI Search Engine Market
  • 15.6 Key Factors Impacting the Market
    • 15.6.1 Market Drivers
    • 15.6.2 Market Restraints
    • 15.6.3 Market Opportunities
    • 15.6.4 Market Challenges
    • 15.6.5 Market Trends - Asia Pacific AI Search Engine Market
    • 15.6.6 State of Competition - Asia Pacific AI Search Engine Market
    • 15.6.7 Asia Pacific AI Search Engine Market by Organization Size
      • 15.6.7.1 Asia Pacific Large Enterprises Market by Country
      • 15.6.7.2 Asia Pacific SMEs Market by Country
    • 15.6.8 Asia Pacific AI Search Engine Market by Deployment
      • 15.6.8.1 Asia Pacific Cloud Market by Country
      • 15.6.8.2 Asia Pacific On-premises Market by Country
    • 15.6.9 Asia Pacific AI Search Engine Market by Technology
      • 15.6.9.1 Asia Pacific Machine Learning Market by Country
      • 15.6.9.2 Asia Pacific Natural Language Processing (NLP) Market by Country
      • 15.6.9.3 Asia Pacific Generative AI Market by Country
      • 15.6.9.4 Asia Pacific Computer Vision Market by Country
      • 15.6.9.5 Asia Pacific Other Technology Market by Country
    • 15.6.10 Asia Pacific AI Search Engine Market by End Use
      • 15.6.10.1 Asia Pacific Retail & E-commerce Market by Country
      • 15.6.10.2 Asia Pacific IT & Telecom Market by Country
      • 15.6.10.3 Asia Pacific BFSI Market by Country
      • 15.6.10.4 Asia Pacific Healthcare Market by Country
      • 15.6.10.5 Asia Pacific Media & Entertainment Market by Country
      • 15.6.10.6 Asia Pacific Education Market by Country
      • 15.6.10.7 Asia Pacific Travel & Hospitality Market by Country
      • 15.6.10.8 Asia Pacific Manufacturing Market by Country
      • 15.6.10.9 Asia Pacific Other End Uses Market by Country
    • 15.6.11 Asia Pacific AI Search Engine Market by Country
      • 15.6.11.1 China AI Search Engine Market
        • 15.6.11.1.1 China AI Search Engine Market by Organization Size
        • 15.6.11.1.2 China AI Search Engine Market by Deployment
        • 15.6.11.1.3 China AI Search Engine Market by Technology
        • 15.6.11.1.4 China AI Search Engine Market by End Use
      • 15.6.11.2 Japan AI Search Engine Market
        • 15.6.11.2.1 Japan AI Search Engine Market by Organization Size
        • 15.6.11.2.2 Japan AI Search Engine Market by Deployment
        • 15.6.11.2.3 Japan AI Search Engine Market by Technology
        • 15.6.11.2.4 Japan AI Search Engine Market by End Use
      • 15.6.11.3 India AI Search Engine Market
        • 15.6.11.3.1 India AI Search Engine Market by Organization Size
        • 15.6.11.3.2 India AI Search Engine Market by Deployment
        • 15.6.11.3.3 India AI Search Engine Market by Technology
        • 15.6.11.3.4 India AI Search Engine Market by End Use
      • 15.6.11.4 South Korea AI Search Engine Market
        • 15.6.11.4.1 South Korea AI Search Engine Market by Organization Size
        • 15.6.11.4.2 South Korea AI Search Engine Market by Deployment
        • 15.6.11.4.3 South Korea AI Search Engine Market by Technology
        • 15.6.11.4.4 South Korea AI Search Engine Market by End Use
      • 15.6.11.5 Australia AI Search Engine Market
        • 15.6.11.5.1 Australia AI Search Engine Market by Organization Size
        • 15.6.11.5.2 Australia AI Search Engine Market by Deployment
        • 15.6.11.5.3 Australia AI Search Engine Market by Technology
        • 15.6.11.5.4 Australia AI Search Engine Market by End Use
        • 15.6.11.5.5 Malaysia AI Search Engine Market
        • 15.6.11.5.6 Malaysia AI Search Engine Market by Organization Size
        • 15.6.11.5.7 Malaysia AI Search Engine Market by Deployment
        • 15.6.11.5.8 Malaysia AI Search Engine Market by Technology
        • 15.6.11.5.9 Malaysia AI Search Engine Market by End Use
      • 15.6.11.6 Rest of Asia Pacific AI Search Engine Market
        • 15.6.11.6.1 Rest of Asia Pacific AI Search Engine Market by Organization Size
        • 15.6.11.6.2 Rest of Asia Pacific AI Search Engine Market by Deployment
        • 15.6.11.6.3 Rest of Asia Pacific AI Search Engine Market by Technology
        • 15.6.11.6.4 Rest of Asia Pacific AI Search Engine Market by End Use
  • 15.7 LAMEA AI Search Engine Market
  • 15.8 Key Factors Impacting the Market
    • 15.8.1 Market Drivers
    • 15.8.2 Market Restraints
    • 15.8.3 Market Opportunities
    • 15.8.4 Market Challenges
    • 15.8.5 Market Trends - LAMEA AI Search Engine Market
    • 15.8.6 State of Competition - LAMEA AI Search Engine Market
    • 15.8.7 LAMEA AI Search Engine Market by Organization Size
      • 15.8.7.1 LAMEA Large Enterprises Market by Country
      • 15.8.7.2 LAMEA SMEs Market by Country
    • 15.8.8 LAMEA AI Search Engine Market by Deployment
      • 15.8.8.1 LAMEA Cloud Market by Country
      • 15.8.8.2 LAMEA On-premises Market by Country
    • 15.8.9 LAMEA AI Search Engine Market by Technology
      • 15.8.9.1 LAMEA Machine Learning Market by Country
      • 15.8.9.2 LAMEA Natural Language Processing (NLP) Market by Country
      • 15.8.9.3 LAMEA Generative AI Market by Country
      • 15.8.9.4 LAMEA Computer Vision Market by Country
      • 15.8.9.5 LAMEA Other Technology Market by Country
    • 15.8.10 LAMEA AI Search Engine Market by End Use
      • 15.8.10.1 LAMEA Retail & E-commerce Market by Country
      • 15.8.10.2 LAMEA IT & Telecom Market by Country
      • 15.8.10.3 LAMEA BFSI Market by Country
      • 15.8.10.4 LAMEA Healthcare Market by Country
      • 15.8.10.5 LAMEA Media & Entertainment Market by Country
      • 15.8.10.6 LAMEA Education Market by Country
      • 15.8.10.7 LAMEA Travel & Hospitality Market by Country
      • 15.8.10.8 LAMEA Manufacturing Market by Country
      • 15.8.10.9 LAMEA Other End Uses Market by Country
    • 15.8.11 LAMEA AI Search Engine Market by Country
      • 15.8.11.1 Brazil AI Search Engine Market
        • 15.8.11.1.1 Brazil AI Search Engine Market by Organization Size
        • 15.8.11.1.2 Brazil AI Search Engine Market by Deployment
        • 15.8.11.1.3 Brazil AI Search Engine Market by Technology
        • 15.8.11.1.4 Brazil AI Search Engine Market by End Use
      • 15.8.11.2 Argentina AI Search Engine Market
        • 15.8.11.2.1 Argentina AI Search Engine Market by Organization Size
        • 15.8.11.2.2 Argentina AI Search Engine Market by Deployment
        • 15.8.11.2.3 Argentina AI Search Engine Market by Technology
        • 15.8.11.2.4 Argentina AI Search Engine Market by End Use
      • 15.8.11.3 UAE AI Search Engine Market
        • 15.8.11.3.1 UAE AI Search Engine Market by Organization Size
        • 15.8.11.3.2 UAE AI Search Engine Market by Deployment
        • 15.8.11.3.3 UAE AI Search Engine Market by Technology
        • 15.8.11.3.4 UAE AI Search Engine Market by End Use
      • 15.8.11.4 Saudi Arabia AI Search Engine Market
        • 15.8.11.4.1 Saudi Arabia AI Search Engine Market by Organization Size
        • 15.8.11.4.2 Saudi Arabia AI Search Engine Market by Deployment
        • 15.8.11.4.3 Saudi Arabia AI Search Engine Market by Technology
        • 15.8.11.4.4 Saudi Arabia AI Search Engine Market by End Use
      • 15.8.11.5 South Africa AI Search Engine Market
        • 15.8.11.5.1 South Africa AI Search Engine Market by Organization Size
        • 15.8.11.5.2 South Africa AI Search Engine Market by Deployment
        • 15.8.11.5.3 South Africa AI Search Engine Market by Technology
        • 15.8.11.5.4 South Africa AI Search Engine Market by End Use
      • 15.8.11.6 Nigeria AI Search Engine Market
        • 15.8.11.6.1 Nigeria AI Search Engine Market by Organization Size
        • 15.8.11.6.2 Nigeria AI Search Engine Market by Deployment
        • 15.8.11.6.3 Nigeria AI Search Engine Market by Technology
        • 15.8.11.6.4 Nigeria AI Search Engine Market by End Use
      • 15.8.11.7 Rest of LAMEA AI Search Engine Market
        • 15.8.11.7.1 Rest of LAMEA AI Search Engine Market by Organization Size
        • 15.8.11.7.2 Rest of LAMEA AI Search Engine Market by Deployment
        • 15.8.11.7.3 Rest of LAMEA AI Search Engine Market by Technology
        • 15.8.11.7.4 Rest of LAMEA AI Search Engine Market by End Use

Chapter 16. Company Profiles

  • 16.1 Google LLC
    • 16.1.1 Company Overview
    • 16.1.2 Financial Analysis
    • 16.1.3 Segmental and Regional Analysis
    • 16.1.4 Research & Development Expenses
    • 16.1.5 Recent strategies and developments:
      • 16.1.5.1 Product Launches and Product Expansions:
    • 16.1.6 SWOT Analysis
  • 16.2 Microsoft Corporation
    • 16.2.1 Company Overview
    • 16.2.2 Financial Analysis
    • 16.2.3 Segmental and Regional Analysis
    • 16.2.4 Research & Development Expenses
    • 16.2.5 Recent strategies and developments:
      • 16.2.5.1 Product Launches and Product Expansions:
    • 16.2.6 SWOT Analysis
  • 16.3 OpenAI, LLC
    • 16.3.1 Company Overview
    • 16.3.2 Recent strategies and developments:
      • 16.3.2.1 Product Launches and Product Expansions:
    • 16.3.3 SWOT Analysis
  • 16.4 Baidu, Inc.
    • 16.4.1 Company Overview
    • 16.4.2 Financial Analysis
    • 16.4.3 Segmental Analysis
    • 16.4.4 Research & Development Expenses
    • 16.4.5 Recent strategies and developments:
      • 16.4.5.1 Product Launches and Product Expansions:
    • 16.4.6 SWOT Analysis
  • 16.5 Perplexity AI
    • 16.5.1 Company Overview
    • 16.5.2 Recent strategies and developments:
      • 16.5.2.1 Partnerships, Collaborations, and Agreements:
      • 16.5.2.2 Product Launches and Product Expansions:
  • 16.6 Anthropic PBC
    • 16.6.1 Company Overview
    • 16.6.2 Recent strategies and developments:
      • 16.6.2.1 Product Launches and Product Expansions:
  • 16.7 DeepSeek
    • 16.7.1 Company Overview
  • 16.8 Komo.ai
    • 16.8.1 Company Overview
  • 16.9 You.com
    • 16.9.1 Company Overview
    • 16.9.2 Recent strategies and developments:
      • 16.9.2.1 Partnerships, Collaborations, and Agreements:
      • 16.9.2.2 Product Launches and Product Expansions:
  • 16.10. Phind
    • 16.10.1 Company Overview

Chapter 17. Winning Imperatives of AI Search Engine Market

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