소셜 미디어 분야 AI 시장 규모, 점유율, 성장 분석 : 기술별, 용도별, 서비스별, 조직 규모별, 최종사용자별, 지역별 - 산업 예측(2024-2031년)
AI in Social Media Market Size, Share, Growth Analysis, By Technology, By Application, By Service, By Organization Size, By End User, By Region - Industry Forecast 2024-2031
상품코드:1607711
리서치사:SkyQuest Technology Consulting Pvt. Ltd.
발행일:2024년 12월
페이지 정보:영문 197 Pages
라이선스 & 가격 (부가세 별도)
한글목차
세계 소셜 미디어 분야 AI 시장 규모는 2022년 13억 달러에서 2023년 19억 달러, 2031년에는 181억 달러로 성장해 예측 기간(2024-2031년) 동안 32.6%의 CAGR로 성장할 것으로 예상됩니다.
세계 소셜 미디어 분야 AI 시장은 소셜 미디어 플랫폼의 광범위한 AI 기술 도입에 힘입어 급격한 성장과 변화를 거듭하고 있습니다. AI 알고리즘은 사용자 데이터, 행동, 선호도를 분석하여 맞춤형 컨텐츠를 제공하는 AI 알고리즘을 통해 컨텐츠 개인화와 타겟팅 광고 개선을 통해 사용자 경험을 향상시키고 있습니다. 또한 감정 분석, 고객 서비스 자동화, 소셜 미디어 모니터링과 같은 AI 애플리케이션은 트렌드를 추적하고 브랜드 평판을 관리하며 궁극적으로 고객 만족도를 높이기 위해 점점 더 많이 활용되고 있습니다. 플랫폼이 AI 기능에 대한 투자를 지속하는 가운데, 시장은 사용자와 광고주 모두의 진화하는 니즈를 충족시키기 위해 지속적으로 확대될 것으로 예상됩니다.
목차
소개
조사 목적
조사 범위
정의
조사 방법
정보 조달
2차 데이터와 1차 데이터 방법
시장 규모 예측
시장 가정과 제한
주요 요약
세계 시장 전망
공급과 수요 동향 분석
부문별 기회 분석
시장 역학과 전망
시장 개요
시장 규모
시장 역학
성장 촉진요인과 기회
성장 억제요인과 과제
Porters 분석과 영향
경쟁 기업 간의 경쟁 관계
대체품의 위협
구매자의 교섭력
신규 참여업체의 위협
공급 기업의 교섭력
주요 시장 인사이트
주요 성공요인
경쟁 정도
주요 투자 기회
시장 생태계
시장 매력 지수(2023년)
PESTEL 분석
거시경제 지표
밸류체인 분석
가격 분석
기술의 진보
규제 상황
사례 연구
세계의 소셜 미디어 분야 AI 시장 규모 : 기술별·CAGR(2024-2031년)
시장 개요
머신러닝·딥러닝
자연어 처리
생성형 AI
기타
세계의 소셜 미디어 분야 AI 시장 규모 : 용도별·CAGR(2024-2031년)
시장 개요
고객 경험 관리
세일즈·마케팅
이미지 인식
예측 리스크 평가
기타
세계의 소셜 미디어 분야 AI 시장 규모 : 서비스별·CAGR(2024-2031년)
시장 개요
매니지드 서비스
전문 서비스
세계의 소셜 미디어 분야 AI 시장 규모 : 조직 규모별·CAGR(2024-2031년)
시장 개요
중소기업
대기업
세계의 소셜 미디어 분야 AI 시장 규모 : 최종사용자별·CAGR(2024-2031년)
시장 개요
소매
E-Commerce
은행 금융 서비스 보험(BFSI)
미디어·광고
교육
기타
소셜 미디어 분야 AI 시장 규모·CAGR(2024-2031년)
북미(기술, 용도, 서비스, 조직 규모, 최종사용자)
미국
캐나다
유럽(기술, 용도, 서비스, 조직 규모, 최종사용자)
영국
독일
스페인
프랑스
이탈리아
기타 유럽
아시아태평양(기술, 용도, 서비스, 조직 규모, 최종사용자)
중국
인도
일본
한국
기타 아시아태평양
라틴아메리카(기술, 용도, 서비스, 조직 규모, 최종사용자)
브라질
기타 라틴아메리카
중동 및 아프리카(기술, 용도, 서비스, 조직 규모, 최종사용자)
GCC 국가
남아프리카공화국
기타 중동 및 아프리카
경쟁 정보
상위 5개사의 비교
주요 기업의 시장 포지셔닝(2023년)
주요 시장 기업이 채용한 전략
시장의 최근 동향
기업의 시장 점유율 분석(2023년)
주요 기업 개요
기업 개요
제품 포트폴리오 분석
기업 부문별 점유율 분석
매출 전년비 비교(2021-2023년)
주요 기업 개요
Facebook(United States)
Google(United States)
Twitter(United States)
LinkedIn(United States)
Pinterest(United States)
Instagram(United States)
TikTok(China)
WeChat(China)
Snapchat(United States)
WhatsApp(United States)
YouTube(United States)
Sina Weibo(China)
LINE(Japan)
KakaoTalk(South Korea)
VKontakte(Russia)
Telegram(United Arab Emirates)
Tumblr(United States)
Qzone(China)
Baidu Tieba(China)
Reddit(United States)
결론과 제안
ksm
영문 목차
영문목차
Global AI in Social Media Market size was valued at USD 1.3 billion in 2022 and is poised to grow from USD 1.9 billion in 2023 to USD 18.1 billion by 2031, growing at a CAGR of 32.6% during the forecast period (2024-2031).
The global AI in social media market is witnessing significant growth and transformation, driven by the widespread adoption of AI technologies by social media platforms. These advancements enhance user experiences through improved content personalization and targeted advertising. AI algorithms analyze user data, behavior, and preferences to deliver customized content, which boosts user engagement and retention while optimizing monetization strategies. Furthermore, AI applications such as sentiment analysis, customer service automation, and social media monitoring are increasingly utilized to track trends and manage brand reputation, ultimately enhancing customer satisfaction. As platforms continue to invest in AI capabilities, the market is poised for sustained expansion, aiming to meet the evolving needs of both users and advertisers.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Ai In Social Media market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Ai In Social Media Market Segmental Analysis
Global AI in Social Media Market is segmented by Technology, Application, Service, Organization Size, End User and Region. Based on Technology, the market is segmented into Machine Learning and Deep Learning, Natural Language Processing, Generative AI, Others. Based on Application, the market is segmented into Customer Experience Management, Sales and Marketing, Image Recognition, Predictive Risk Assessment, Others. Based on Services, the market is segmented into Managed Services, Professional Services. Based on Organization Size, the market is segmented into Small and Medium Enterprises, Large Enterprises. Based on End User, the market is segmented into Retail, E-Commerce, BFSI, Media and Advertising, Education, Others. Based on Region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Driver of the Global Ai In Social Media Market
A significant catalyst for the expansion of the global AI in social media market is the rising demand for personalized and engaging user experiences. Advanced AI technologies, including natural language processing, sentiment analysis, and machine learning algorithms, allow social media platforms to process vast amounts of user-generated content effectively. By deciphering user preferences and behaviors, these technologies facilitate tailored content suggestions, focused advertising, and improved user interaction. This personalization fosters enhanced user satisfaction and promotes stronger user retention, ultimately driving the growth of the AI in the social media sector as businesses seek to meet these evolving consumer expectations.
Restraints in the Global Ai In Social Media Market
A major constraint facing the global AI in social media market is the heightened concern surrounding data privacy and security. The functionality of AI algorithms often depends on extensive user data to provide tailored experiences, which can trigger privacy apprehensions among users. There have been notable cases of data breaches and the mishandling of personal information, fostering a climate of public distrust. Moreover, the integration of AI into social media platforms necessitates extensive access to user data, leading to ethical dilemmas about data collection, storage, and usage practices. Stricter regulations and an increased awareness of data privacy issues may hinder the advancement of the AI in social media sector.
Market Trends of the Global Ai In Social Media Market
The global AI in Social Media market is witnessing a prominent trend characterized by the accelerating integration of artificial intelligence technologies to optimize platform functionalities. Social media companies are increasingly deploying AI-driven features that enhance personalization, user engagement, and overall experience. Advanced machine learning algorithms analyze intricate user behaviors, preferences, and social interactions, facilitating the delivery of highly targeted advertisements and content recommendations. Additionally, AI chatbots are revolutionizing customer service by providing instantaneous support and efficiently managing inquiries. Furthermore, sentiment analysis tools have emerged as vital assets for businesses, offering profound insights into consumer sentiments, enabling them to adeptly navigate feedback and sentiment trends in real time.
Table of Contents
Introduction
Objectives of the Study
Scope of the Report
Definitions
Research Methodology
Information Procurement
Secondary & Primary Data Methods
Market Size Estimation
Market Assumptions & Limitations
Executive Summary
Global Market Outlook
Supply & Demand Trend Analysis
Segmental Opportunity Analysis
Market Dynamics & Outlook
Market Overview
Market Size
Market Dynamics
Driver & Opportunities
Restraints & Challenges
Porters Analysis & Impact
Competitive rivalry
Threat of substitute
Bargaining power of buyers
Threat of new entrants
Bargaining power of suppliers
Key Market Insights
Key Success Factors
Degree of Competition
Top Investment Pockets
Market Ecosystem
Market Attractiveness Index, 2023
PESTEL Analysis
Macro-Economic Indicators
Value Chain Analysis
Pricing Analysis
Technological Advancement
Regulatory Landscape
Case Studies
AI in Social Media Market Size by Technology & CAGR (2024-2031)
Market Overview
Machine Learning and Deep Learning
Natural Language Processing
Generative AI
Others
AI in Social Media Market Size by Application & CAGR (2024-2031)
Market Overview
Customer Experience Management
Sales and Marketing
Image Recognition
Predictive Risk Assessment
Others
AI in Social Media Market Size by Service & CAGR (2024-2031)
Market Overview
Managed Service
Professional Service
AI in Social Media Market Size by Organization Size & CAGR (2024-2031)
Market Overview
Small and Medium Enterprises
Large Enterprises
AI in Social Media Market Size by End User & CAGR (2024-2031)
Market Overview
Retail
E-Commerce
Banking, Financial Services, Insurance (BFSI)
Media and Advertising
Education
Others
AI in Social Media Market Size & CAGR (2024-2031)
North America, (Technology, Application, Service, Organization Size, End User)
US
Canada
Europe, (Cur Technology, Application, Service, Organization Size, End User)
UK
Germany
Spain
France
Italy
Rest of Europe
Asia-Pacific, (Technology, Application, Service, Organization Size, End User)
China
India
Japan
South Korea
Rest of Asia Pacific
Latin America, (Technology, Application, Service, Organization Size, End User)
Brazil
Rest of Latin America
Middle East & Africa, (Technology, Application, Service, Organization Size, End User)
