Global AI In Marketing Market Size, Share, Trends & Growth Analysis Report 2026-2034
상품코드:1958922
리서치사:Value Market Research
발행일:2026년 02월
페이지 정보:영문 203 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
마케팅용 AI시장 규모는 2025년 454억 달러에서 2034년에는 4,367억 달러에 이를 것으로 예측되며, 2026-2034년 CAGR 28.6%를 나타낼 전망입니다.
마케팅 분야 AI 시장은 기업들이 마케팅 전략과 고객 참여 강화에 있어 인공지능의 혁신적 잠재력을 점점 더 많이 인식하면서 빠르게 성장하고 있습니다. 머신러닝, 자연어 처리, 예측 분석 등 AI 기술의 통합을 통해 마케터는 소비자의 행동과 취향에 대한 더 깊은 인사이트를 얻을 수 있습니다. 이러한 데이터 기반 접근 방식은 보다 타겟팅된 개인화된 마케팅 캠페인을 통해 고객 경험을 개선하고 전환율을 높이는 데 기여하고 있습니다. 조직이 AI를 활용하여 마케팅 활동을 최적화하고자 하는 가운데, AI 기반 솔루션에 대한 수요는 크게 증가할 것으로 예측됩니다.
AI 알고리즘과 데이터 처리 능력의 기술적 발전은 마케팅 분야의 AI 시장 형성에 중요한 역할을 하고 있습니다. 방대한 데이터를 실시간으로 분석할 수 있는 능력을 통해 마케터는 트렌드 파악, 오디언스 세분화, 그에 따른 메시지 최적화를 할 수 있습니다. 또한, AI 기반 챗봇과 가상 비서는 즉각적인 지원과 개인화된 제안을 제공함으로써 고객과의 대화를 강화하고 있습니다. 기업이 디지털 전환을 지속적으로 추진함에 따라, 마케팅의 효율성과 효과를 높이는 AI 솔루션에 대한 수요가 증가하여 시장 내 혁신과 경쟁을 촉진할 것입니다.
또한, 고객 중심의 마케팅에 대한 중요성이 높아지고 있는 것도 마케팅 분야의 AI 시장 상황에 영향을 미치고 있습니다. 소비자들이 더욱 인사이트 있고 개인화된 경험을 기대하는 만큼, 기업들은 실시간 참여와 피드백을 촉진하는 AI 기술을 도입할 수밖에 없습니다. 고객 관계 관리(CRM) 시스템 및 마케팅 자동화 플랫폼에 AI를 통합함으로써 조직은 원활하고 일관된 고객 경험을 창출할 수 있습니다. 시장이 성숙해짐에 따라 AI, 고객 경험, 데이터 분석의 융합이 성장의 주요 원동력이 될 것이며, 마케팅에서 AI는 현대 비즈니스 전략의 필수 요소로 자리매김할 것입니다.
목차
제1장 서론
제2장 주요 요약
제3장 시장 변수, 동향, 프레임워크
제4장 세계의 마케팅용 AI 시장 : 제공별
제5장 세계의 마케팅용 AI 시장 : 도입 모드별
제6장 세계의 마케팅용 AI 시장 : 기술별
제7장 세계의 마케팅용 AI 시장 : 용도별
제8장 세계의 마케팅용 AI 시장 : 최종사용자별
제9장 세계의 마케팅용 AI 시장 : 지역별
제10장 경쟁 구도
제11장 기업 개요
LSH
영문 목차
영문목차
The AI In Marketing Market size is expected to reach USD 436.70 Billion in 2034 from USD 45.40 Billion (2025) growing at a CAGR of 28.6% during 2026-2034.
The AI in Marketing market is experiencing rapid expansion as businesses increasingly recognize the transformative potential of artificial intelligence in enhancing marketing strategies and customer engagement. The integration of AI technologies, such as machine learning, natural language processing, and predictive analytics, is enabling marketers to gain deeper insights into consumer behavior and preferences. This data-driven approach allows for more targeted and personalized marketing campaigns, resulting in improved customer experiences and higher conversion rates. As organizations seek to leverage AI to optimize their marketing efforts, the demand for AI-driven solutions is expected to grow significantly.
Technological advancements in AI algorithms and data processing capabilities are playing a crucial role in shaping the AI in Marketing market. The ability to analyze vast amounts of data in real-time enables marketers to identify trends, segment audiences, and tailor messaging accordingly. Additionally, AI-powered chatbots and virtual assistants are enhancing customer interactions by providing instant support and personalized recommendations. As businesses continue to embrace digital transformation, the demand for AI solutions that enhance marketing efficiency and effectiveness will likely increase, driving innovation and competition within the market.
Furthermore, the growing emphasis on customer-centric marketing is influencing the AI in Marketing market landscape. As consumers become more discerning and expect personalized experiences, businesses are compelled to adopt AI technologies that facilitate real-time engagement and feedback. The integration of AI into customer relationship management (CRM) systems and marketing automation platforms is enabling organizations to create seamless and cohesive customer journeys. As the market matures, the convergence of AI, customer experience, and data analytics will be key drivers of growth, positioning AI in marketing as an essential component of modern business strategies.
Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:
Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.
Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.
Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.
Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.
Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.
Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.
Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.
MARKET SEGMENTATION
By Offering
Software
Hardware
Services
By Deployment Mode
Cloud-Based
On-Premises
By Technology
Machine Learning
Natural Language Processing (Nlp)
Context-Aware Computing
Computer Vision
By Application
Social Media Advertising
Search Advertising
Dynamic Pricing
Virtual Assistant
Content Curation
Sales And Marketing Automation
Analytics Platform
Others
By End User
Banking, Financial Services, And Insurance (Bfsi)
Retail
Consumer Goods
Media And Entertainment
Enterprise
Others
COMPANIES PROFILED
International Business Machines Corporation IBM, Alphabet Inc Google, Microsoft Corporation, Salesforce Inc, Qualcomm Technologies Inc, NVIDIA Corporation, Intel Corporation, Samsung Electronics Co Ltd, Micron Technology Inc, Amazon Web Services Inc, Apple Inc, Verint Systems Inc, Meta Platforms Inc, Siemens AG, General Electric Company
We can customise the report as per your requriements
TABLE OF CONTENTS
Chapter 1. PREFACE
1.1. Market Segmentation & Scope
1.2. Market Definition
1.3. Information Procurement
1.3.1 Information Analysis
1.3.2 Market Formulation & Data Visualization
1.3.3 Data Validation & Publishing
1.4. Research Scope and Assumptions
1.4.1 List of Data Sources
Chapter 2. EXECUTIVE SUMMARY
2.1. Market Snapshot
2.2. Segmental Outlook
2.3. Competitive Outlook
Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK
3.1. Market Lineage Outlook
3.2. Penetration & Growth Prospect Mapping
3.3. Value Chain Analysis
3.4. Regulatory Framework
3.4.1 Standards & Compliance
3.4.2 Regulatory Impact Analysis
3.5. Market Dynamics
3.5.1 Market Drivers
3.5.2 Market Restraints
3.5.3 Market Opportunities
3.5.4 Market Challenges
3.6. Porter's Five Forces Analysis
3.7. PESTLE Analysis
Chapter 4. GLOBAL AI IN MARKETING MARKET: BY OFFERING 2022-2034 (USD MN)
4.1. Market Analysis, Insights and Forecast Offering
4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
4.3. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 5. GLOBAL AI IN MARKETING MARKET: BY DEPLOYMENT MODE 2022-2034 (USD MN)
5.1. Market Analysis, Insights and Forecast Deployment Mode
5.2. Cloud-Based Estimates and Forecasts By Regions 2022-2034 (USD MN)
5.3. On-Premises Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 6. GLOBAL AI IN MARKETING MARKET: BY TECHNOLOGY 2022-2034 (USD MN)
6.1. Market Analysis, Insights and Forecast Technology
6.2. Machine Learning Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.3. Natural Language Processing (Nlp) Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.4. Context-Aware Computing Estimates and Forecasts By Regions 2022-2034 (USD MN)
6.5. Computer Vision Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 7. GLOBAL AI IN MARKETING MARKET: BY APPLICATION 2022-2034 (USD MN)
7.1. Market Analysis, Insights and Forecast Application
7.2. Social Media Advertising Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.3. Search Advertising Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.4. Dynamic Pricing Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.5. Virtual Assistant Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.6. Content Curation Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.7. Sales And Marketing Automation Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.8. Analytics Platform Estimates and Forecasts By Regions 2022-2034 (USD MN)
7.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 8. GLOBAL AI IN MARKETING MARKET: BY END USER 2022-2034 (USD MN)
8.1. Market Analysis, Insights and Forecast End User
8.2. Banking, Financial Services, And Insurance (Bfsi) Estimates and Forecasts By Regions 2022-2034 (USD MN)
8.3. Retail Estimates and Forecasts By Regions 2022-2034 (USD MN)
8.4. Consumer Goods Estimates and Forecasts By Regions 2022-2034 (USD MN)
8.5. Media And Entertainment Estimates and Forecasts By Regions 2022-2034 (USD MN)
8.6. Enterprise Estimates and Forecasts By Regions 2022-2034 (USD MN)
8.7. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)
Chapter 9. GLOBAL AI IN MARKETING MARKET: BY REGION 2022-2034(USD MN)
9.1. Regional Outlook
9.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
9.2.1 By Offering
9.2.2 By Deployment Mode
9.2.3 By Technology
9.2.4 By Application
9.2.5 By End User
9.2.6 United States
9.2.7 Canada
9.2.8 Mexico
9.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
9.3.1 By Offering
9.3.2 By Deployment Mode
9.3.3 By Technology
9.3.4 By Application
9.3.5 By End User
9.3.6 United Kingdom
9.3.7 France
9.3.8 Germany
9.3.9 Italy
9.3.10 Russia
9.3.11 Rest Of Europe
9.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
9.4.1 By Offering
9.4.2 By Deployment Mode
9.4.3 By Technology
9.4.4 By Application
9.4.5 By End User
9.4.6 India
9.4.7 Japan
9.4.8 South Korea
9.4.9 Australia
9.4.10 South East Asia
9.4.11 Rest Of Asia Pacific
9.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
9.5.1 By Offering
9.5.2 By Deployment Mode
9.5.3 By Technology
9.5.4 By Application
9.5.5 By End User
9.5.6 Brazil
9.5.7 Argentina
9.5.8 Peru
9.5.9 Chile
9.5.10 South East Asia
9.5.11 Rest of Latin America
9.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
9.6.1 By Offering
9.6.2 By Deployment Mode
9.6.3 By Technology
9.6.4 By Application
9.6.5 By End User
9.6.6 Saudi Arabia
9.6.7 UAE
9.6.8 Israel
9.6.9 South Africa
9.6.10 Rest of the Middle East And Africa
Chapter 10. COMPETITIVE LANDSCAPE
10.1. Recent Developments
10.2. Company Categorization
10.3. Supply Chain & Channel Partners (based on availability)
10.4. Market Share & Positioning Analysis (based on availability)
10.5. Vendor Landscape (based on availability)
10.6. Strategy Mapping
Chapter 11. COMPANY PROFILES OF GLOBAL AI IN MARKETING INDUSTRY
11.1. Top Companies Market Share Analysis
11.2. Company Profiles
11.2.1 International Business Machines Corporation (IBM)
