세계의 영업 및 마케팅용 AI 시장 예측(-2030년) : 오퍼링별, 배포 모드별, 용도별, 기술별, 최종사용자별, 지역별
AI for Sales and Marketing Market by Offering (CRM, Chatbots, AI Agents, Digital Marketing, CDP), Application (Content Marketing, Sentiment Analysis, Predictive Analytics, CX), Technology (ML, NLP, Generative AI) and End User - Global Forecast to 2030
상품코드:1669768
리서치사:MarketsandMarkets
발행일:2025년 02월
페이지 정보:영문 421 Pages
라이선스 & 가격 (부가세 별도)
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한글목차
영업·마케팅용 AI 시장 규모는 예측 기간 중 32.9%의 CAGR로 확대하며, 2025년 579억 9,000만 달러에서 2030년에는 2,405억 8,000만 달러로 성장할 것으로 예측됩니다.
자동화, 맞춤형 고객 관여, 데이터 주도 인사이트에 대한 수요 증가가 판매·마케팅 시장의 AI를 지원하고 있습니다. AI는 리드 제너레이션, 고객 세분화, 예측 분석을 강화하고, 판매 전략과 마케팅 ROI를 최적화합니다. NLP와 머신러닝의 발전으로 지능형 챗봇, 추천 시스템, 감정 분석이 가능해졌습니다. 그러나 높은 도입 비용, 데이터 프라이버시에 대한 우려, 레거시 시스템과의 통합 문제 등이 도입의 걸림돌로 작용하고 있습니다. 또한 이직에 대한 두려움과 윤리적 우려로 인한 AI에 대한 저항이 시장 성장을 더욱 억제하고 있습니다.
조사 범위
조사 대상연도
2020-2030년
기준연도
2024년
예측 기간
2025-2030년
검토 단위
달러(10억 달러)
부문
오퍼링별, 배포 모드별, 용도별, 기술별, 최종사용자별, 지역별
대상 지역
북미, 유럽, 아시아태평양, 중동 및 아프리카, 라틴아메리카
영업 및 마케팅 AI 시장에서 가장 빠른 성장세를 보일 것으로 예상되는 분야는 AI 기반 영업 지원 소프트웨어로, AI 기반 영업 지원은 머신러닝과 예측 분석을 통해 실시간 인사이트를 제공하고, 리드 스코어링을 최적화하며, 아웃리치를 개인화하여 전환율을 높일 수 있습니다. 실시간 인사이트를 제공하고, 리드 스코어링을 최적화하며, 아웃리치를 개인화하여 전환율을 높일 수 있도록 돕습니다. 기업은 영업 파이프라인과 의사결정을 간소화하기 위해 AI 기반 CRM과 가상 비서를 우선순위에 두고 있습니다. 또한 AI 기반 챗봇, 자동 후속 조치, 판매 예측 솔루션에 대한 수요 증가로 인해 AI 기반 판매 대행사 도입이 더욱 가속화되고 있으며, AI 기반 판매 대행은 시장 성장의 주요 촉진요인이 되고 있습니다.
챗봇과 대화형 마케팅 툴은 고객 참여 강화, 상호 작용 자동화, 리드 전환 개선에 널리 사용되고 있으며, 영업 및 마케팅용 AI 시장에서 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 각 산업 분야의 기업은 AI 기반 챗봇을 활용하여 24시간 365일 고객 지원, 개인화된 추천, 여러 채널에 걸친 원활한 커뮤니케이션을 위해 AI 기반 챗봇을 활용하고 있으며, NLP와 머신러닝의 통합으로 챗봇은 인간과 같은 응답을 제공할 수 있게 되어 고객 경험을 향상시킬 수 있게 되었습니다. 고객 경험과 고객 유지율을 향상시키고 있습니다. 또한 메시징 플랫폼, 음성 비서, 셀프 서비스 솔루션의 등장으로 그 수요가 더욱 증가하고 있습니다. 비용 효율성, 확장성, 마케팅 및 영업 워크플로우를 간소화할 수 있는 능력은 시장에서 압도적인 위치를 차지하고 있습니다.
아시아태평양은 급속한 디지털 혁신, AI 투자 증가, 산업 전반의 자동화 도입 확대, E-Commerce 확대, 스마트폰 보급률 증가, AI 구상에 대한 정부의 강력한 지원 등으로 인해 영업 및 마케팅용 AI 시장이 급성장할 것으로 예상됩니다. 이 시장 확대를 더욱 촉진할 것입니다. 한편, 북미는 주요 AI 기술 프로바이더의 존재, AI 기반 CRM 및 마케팅 자동화 툴의 높은 채택률, AI R&D에 대한 강력한 투자로 인해 가장 큰 시장 점유율을 차지할 것으로 예상됩니다. 이 지역의 높은 인프라, 데이터베이스 의사결정 문화, 신기술의 빠른 도입은 이 시장에서의 우위를 확고히 하고 있습니다.
세계의 영업·마케팅용 AI 시장에 대해 조사했으며, 오퍼링별, 배포 모드별, 용도별, 기술별, 최종사용자별, 지역별 동향 및 시장에 참여하는 기업의 개요 등을 정리하여 전해드립니다.
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목차
제1장 서론
제2장 조사 방법
제3장 개요
제4장 주요 인사이트
제5장 시장 개요와 업계 동향
서론
시장 역학
영업·마케팅용 AI의 진화
공급망 분석
에코시스템 분석
투자 상황과 자금조달 시나리오
생성형 AI가 세일즈 & 마케팅 시장에 미치는 영향
사례 연구 분석
기술 분석
규제 상황
특허 분석
가격 분석
주요 컨퍼런스와 이벤트
Porter's Five Forces 분석
고객 비즈니스에 영향을 미치는 동향/혼란
주요 이해관계자와 구입 기준
제6장 영업·마케팅용 AI 시장, 오퍼링별
서론
영업
마케팅
제7장 영업·마케팅용 AI 시장, 배포 모드별
서론
온프레미스
클라우드
제8장 영업·마케팅용 AI 시장, 용도별
서론
영업
마케팅
제9장 영업·마케팅용 AI 시장, 기술별
서론
생성형 AI
기타
제10장 영업·마케팅용 AI 시장, 최종사용자별
서론
기업
개인 사용자
제11장 영업·마케팅용 AI 시장, 지역별
서론
북미
북미 : 영업·마케팅용 AI 시장 성장 촉진요인
북미 : 거시경제 전망
미국
캐나다
유럽
유럽 : 영업·마케팅용 AI 시장 성장 촉진요인
유럽 : 거시경제 전망
영국
독일
프랑스
이탈리아
스페인
기타
아시아태평양
아시아태평양 : 영업·마케팅용 AI 시장 성장 촉진요인
아시아태평양 : 거시경제 전망
중국
일본
인도
한국
호주와 뉴질랜드
싱가포르
기타
중동 및 아프리카
중동 및 아프리카 : 영업·마케팅용 AI 시장 성장 촉진요인
중동 및 아프리카 : 거시경제 전망
중동
아프리카
라틴아메리카
라틴아메리카 : 영업·마케팅용 AI 시장 성장 촉진요인
라틴아메리카 : 거시경제 전망
브라질
멕시코
아르헨티나
기타 라틴아메리카
제12장 경쟁 구도
개요
주요 참여 기업의 전략/강점, 2022-2025년
매출 분석, 2020-2024년
시장 점유율 분석, 2024년
제품 비교 분석
기업 가치 평가와 재무 지표
기업 평가 매트릭스 : 주요 참여 기업, 2024년
기업 평가 매트릭스 : 스타트업/중소기업, 2024년
경쟁 시나리오와 동향
제13장 기업 개요
서론
주요 참여 기업
IBM
NVIDIA
GOOGLE
MICROSOFT
AWS
SALESFORCE
ORACLE
ADOBE
SAP
SPROUT SOCIAL
OPENAI
HOOTSUITE
ZOHO
DIALPAD
GONG.IO
BRAND24
HUBSPOT
6SENSE
PALANTIR TECHNOLOGIES
KHOROS
SPRINKLR
스타트업/중소기업
AICHAT
PEOPLE.AI
COPY.AI
MOVEWORKS
OUTREACH
H20.AI
SYNTHESIA
JASPER
WRITESONIC
SALESLOFT
ZAPIER
HEYGEN
CONVERSICA
RELEVANCE AI
VELOXY
COGNISM
LAVENDER
CLARI
TIDIO
WRITER
SEAMLESS.AI
CREATIO
LATELY.AI
REGIE.AI
제14장 인접 시장과 관련 시장
제15장 부록
KSA
영문 목차
영문목차
The AI for sales and marketing market is projected to grow from USD 57.99 billion in 2025 to USD 240.58 billion by 2030 at a compound annual growth rate (CAGR) of 32.9% during the forecast period. The rising demand for automation, personalized customer engagement, and data-driven insights drive AI for the sales and marketing market. AI enhances lead generation, customer segmentation, and predictive analytics, optimizing sales strategies and marketing ROI. NLP and machine learning advancements enable intelligent chatbots, recommendation systems, and sentiment analysis. However, challenges such as high implementation costs, data privacy concerns, and integration issues with legacy systems hinder adoption. Additionally, resistance to AI due to job displacement fears and ethical concerns further restrains market growth.
Scope of the Report
Years Considered for the Study
2020-2030
Base Year
2024
Forecast Period
2025-2030
Units Considered
USD (Billion)
Segments
Offering, Deployment Mode, Application, Technology, End User, and Region
Regions covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
"Sales agents software type is expected to hold the largest market share during the forecast period"
Sales agents of sales software type are expected to witness the fastest growth in the AI for sales and marketing market due to increasing adoption of AI-driven tools that enhance productivity, automate repetitive tasks, and improve customer interactions. AI-powered sales assistants leverage machine learning and predictive analytics to provide real-time insights, optimize lead scoring, and personalize outreach, boosting conversion rates. Businesses are prioritizing AI-enabled CRM and virtual assistants to streamline sales pipelines and decision-making. Additionally, the rising demand for AI-driven chatbots, automated follow-ups, and sales forecasting solutions further accelerates adoption, making AI-powered sales agents a key driver of market growth.
"Chatbots & conversational marketing tools software type will have the fastest growth rate during the forecast period"
Chatbots and conversational marketing tools are expected to hold the largest market share in the AI for sales and marketing market due to their widespread adoption for enhancing customer engagement, automating interactions, and improving lead conversion. Businesses across industries leverage AI-driven chatbots for 24/7 customer support, personalized recommendations, and seamless communication across multiple channels. The integration of NLP and machine learning enables chatbots to provide human-like responses, improving customer experience and retention. Additionally, the rise of messaging platforms, voice assistants, and self-service solutions has further boosted demand. Their cost-effectiveness, scalability, and ability to streamline marketing and sales workflows drive their dominant market position.
"Asia Pacific's to witness rapid AI for sales and marketing growth fueled by innovation and emerging technologies, while North America leads in market size"
Asia Pacific is expected to witness the fastest growth in the AI for sales and marketing market due to rapid digital transformation, increasing AI investments, and growing adoption of automation across industries. Expanding e-commerce, rising smartphone penetration, and strong government support for AI initiatives further fuel market expansion. Meanwhile, North America will hold the largest market share, driven by the presence of major AI technology providers, high adoption rates of AI-driven CRM and marketing automation tools, and strong investments in AI research and development. The region's advanced infrastructure, data-driven decision-making culture, and early adoption of emerging technologies solidify its dominance in the market.
Breakdown of primaries
In-depth interviews were conducted with Chief Executive Officers (CEOs), innovation and technology directors, system integrators, and executives from various key organizations operating in the AI for sales and marketing market.
By Company: Tier I - 21%, Tier II - 45%, and Tier III - 34%
By Designation: Directors - 51%, Managers - 34%, and others - 15%
By Region: North America - 44%, Europe - 27%, Asia Pacific - 19%, Middle East & Africa - 4%, and Latin America - 6%
The report includes the study of key players offering AI for sales and marketing solutions and services. It profiles major vendors in the AI for sales and marketing market. The major players in the AI for sales and marketing market include IBM (US), NVIDIA (US), OpenAI (US), Microsoft (US), Google (US), AWS (US), Oracle (US), Salesforce (US), SAP (Germany), Adobe (US), Hootsuite (Canada), Zoho (India), Sprout Social (US), Dialpad (US), Gong.io (US), Brand24 (Poland), HubSpot (US), 6sense (US), Palantir Technologies (US), Khoros (US), Sprinklr (US), People.ai (US), Copy.ai (US), Moveworks (US), Outreach (US), H2O.ai (US), Synthesia (UK), Jasper (US), Writesonic (US), Salesloft (US), Zapier (US), HeyGen (US), Conversica (US), Relevance AI (Australia), Persana AI (US), Cognism (UK), Lavender (US), Clari (US), Tidio (US), Writer (US), Seamless.AI (US), AiChat (Signapore), Creatio (US), Lately.AI (US), and Regie.ai (US).
Research coverage
This research report covers the AI for sales and marketing market and has been segmented based on offering, deployment mode, application, technology, and end user. The offering segment consists of sales software types and marketing software types. The sales software type segment contains customer relationship management (CRM), email generators, chatbots & virtual assistants, sales agents, sales forecasting tools, sales intelligence tools, lead scoring tools, and others (sales coach and personalized outreach tools). The marketing software type segment consists of advertising tools, digital marketing tools, content creation & copywriting tools (text generators, image generators, video generators, audio & speech generators), social media management, SEO optimization software, marketing agents, customer data platform (CDP), chatbots & conversational marketing tools, and others (email marketing and influencer marketing). The deployment mode segment is bifurcated into on-premises and cloud. The application segment includes sales applications and marketing applications. The sales application segment consists of sentiment analysis, predictive forecasting, call summaries & exploration, guided selling & reporting, conversation mining, pricing & quotation optimization, revenue intelligence, competitor analysis, deal & pipeline management, and other sales applications (sales performance analytics, customer churn prediction, inventory management, and supply chain optimization). The marketing application segment consists of predictive analytics, content marketing & generation, audience segmentation & personalization, programmatic advertising, customer experience management, campaign management, voice search optimization, and other marketing applications (media monitoring, brand reputation management, and customer journey mapping). The technology segment is bifurcated into two sub segments called other AI and generative AI. Other AI segment contains machine learning, natural language processing, predictive analytics, and context-aware AI. The end user segment consists of enterprises and individual users. The enterprise end users consist of education, BFSI, automotive, healthcare & life sciences, technology & software, media & entertainment, manufacturing, telecommunications, travel & hospitality, retail & e-commerce, and other enterprise end users (government & public sector, construction & real estate, transportation & logistics). The regional analysis of the AI for sales and marketing market covers North America, Europe, Asia Pacific, the Middle East & Africa (MEA), and Latin America. The report also contains a detailed analysis of investment & funding scenarios, case studies, regulatory landscape, ecosystem analysis, supply chain analysis, pricing analysis, and technology analysis.
Key Benefits of Buying the Report
The report would provide the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall AI for sales and marketing market and its subsegments. It would help stakeholders understand the competitive landscape and gain more insights better to position their business and plan suitable go-to-market strategies. It also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.
The report provides insights on the following pointers:
Analysis of key drivers (The development of explainable AI models, Advancements in privacy-preserving machine learning techniques, The maturation of real-time processing capabilities has allowed AI systems to analyze and respond to customer interactions), restraints (AI struggles to interpret complex human emotions and nuanced buyer intent, AI-generated sales outreach often lacks the authenticity needed for high-conversion engagement, and The shortage of marketing professionals who understand both AI capabilities and fundamental marketing principles), opportunities (The convergence of augmented reality and AI is creating opportunities for immersive product demonstrations, Multimodal AI models are opening new possibilities for creating dynamic video content, and The integration of quantum computing with AI marketing systems), and challenges (The rise of synthetic data and AI-generated personas, AI struggles to generate truly personalized marketing content that resonates with diverse audiences, and AI-driven lead scoring systems often misinterpret buyer intent).
Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI for sales and marketing market.
Market Development: Comprehensive information about lucrative markets - the report analyses the AI for sales and marketing market across varied regions.
Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI for sales and marketing market.
Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players like IBM (US), NVIDIA (US), OpenAI (US), Microsoft (US), Google (US), AWS (US), Oracle (US), Salesforce (US), SAP (Germany), Adobe (US), Hootsuite (Canada), Zoho (India), Sprout Social (US), Dialpad (US), Gong.io (US), Brand24 (Poland), HubSpot (US), 6sense (US), Palantir Technologies (US), Khoros (US), Sprinklr (US), People.ai (US), Copy.ai (US), Moveworks (US), Outreach (US), H2O.ai (US), Synthesia (UK), Jasper (US), Writesonic (US), Salesloft (US), Zapier (US), HeyGen (US), Conversica (US), Relevance AI (Australia), Persana AI (US), Cognism (UK), Lavender (US), Clari (US), Tidio (US), Writer (US), Seamless.AI (US), AiChat (Signapore), Creatio (US), Lately.AI (US), Regie.ai (US), among others in the AI for sales and marketing market. The report also helps stakeholders understand the pulse of the AI for sales and marketing market and provides them with information on key market drivers, restraints, challenges, and opportunities.
TABLE OF CONTENTS
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 MARKET SCOPE
1.3.1 MARKET SEGMENTATION
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 STAKEHOLDERS
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.2 PRIMARY DATA
2.1.2.1 Breakup of primary profiles
2.1.2.2 Key industry insights
2.2 DATA TRIANGULATION
2.3 MARKET SIZE ESTIMATION
2.3.1 TOP-DOWN APPROACH
2.3.2 BOTTOM-UP APPROACH
2.4 MARKET FORECAST
2.5 RESEARCH ASSUMPTIONS
2.6 STUDY LIMITATIONS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI FOR SALES & MARKETING MARKET
4.2 AI FOR SALES & MARKETING MARKET: TOP THREE TECHNOLOGIES
4.3 NORTH AMERICA: AI FOR SALES & MARKETING MARKET, BY OFFERING AND APPLICATION
4.4 AI FOR SALES & MARKETING MARKET, BY REGION
5 MARKET OVERVIEW AND INDUSTRY TRENDS
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Development of explainable AI models allows sales teams to understand and articulate need for specific recommendations
5.2.1.2 Emergence of privacy-preserving machine learning techniques enabled marketers to extract insights from customer data while maintaining compliance
5.2.1.3 Evolution of real-time processing capabilities allowed AI systems to analyze and respond to customer interactions instantly
5.2.2 RESTRAINTS
5.2.2.1 AI struggles to interpret complex human emotions and nuanced buyer intent despite advances in sentiment analysis
5.2.2.2 AI-generated sales outreach often lacks authenticity needed for high-conversion engagement
5.2.2.3 Shortage of marketing professionals who understand AI capabilities and marketing principles to create knowledge gap
5.2.3 OPPORTUNITIES
5.2.3.1 Convergence of augmented reality and AI to create opportunities for immersive product demonstrations adapting to individual customer preferences
5.2.3.2 Multimodal AI models open new possibilities for creating dynamic video content that adapts in real time to viewer engagement metrics
5.2.3.3 Integration of quantum computing with AI marketing systems to enable real-time optimization of complex, multi-channel campaigns
5.2.4 CHALLENGES
5.2.4.1 Rise of synthetic data and AI-generated personas to affect distinction between genuine customer behavior and artificial interactions
5.2.4.2 AI struggles to generate truly personalized marketing content that resonates with diverse audiences
5.2.4.3 AI-driven lead scoring systems often misinterpret buyer intent, leading to inaccurate prioritization
5.3 EVOLUTION OF AI FOR SALES & MARKETING
5.4 SUPPLY CHAIN ANALYSIS
5.5 ECOSYSTEM ANALYSIS
5.5.1 AI SALES SOFTWARE TYPE
5.5.1.1 Email generators
5.5.1.2 Chatbots & assistants
5.5.1.3 Sales agents
5.5.1.4 Sales forecasting
5.5.1.5 Lead scoring
5.5.1.6 Sales intelligence
5.5.1.7 Customer relationship management (CRM)
5.5.1.8 Sales coach
5.5.1.9 Revenue intelligence
5.5.1.10 Personalized outreach
5.5.1.11 Pipeline management
5.5.2 AI MARKETING SOFTWARE TYPE
5.5.2.1 Campaign management
5.5.2.2 SEO optimization
5.5.2.3 Advertising
5.5.2.4 Digital marketing
5.5.2.5 Content creation
5.5.2.6 Social media management
5.5.2.7 Marketing agents
5.5.2.8 Customer data platform (CDP)
5.5.2.9 Conversational marketing
5.5.2.10 Email marketing
5.5.2.11 Influencer marketing
5.6 INVESTMENT LANDSCAPE AND FUNDING SCENARIO
5.7 IMPACT OF GENERATIVE AI ON SALES & MARKETING MARKET
5.7.1 PERSONALIZED CONTENT GENERATION
5.7.2 CHATBOTS AND VIRTUAL ASSISTANTS
5.7.3 AD AND CREATIVE DESIGN GENERATION
5.7.4 SALES COACHING AND ENABLEMENT
5.7.5 MARKET RESEARCH AND TREND ANALYSIS
5.7.6 LEAD SCORING AND PROSPECTING
5.8 CASE STUDY ANALYSIS
5.8.1 CONCEPTSALES REDUCED VIDEO PRODUCTION COSTS BY 66% WITH SYNTHESIA'S AI-POWERED SOLUTION
5.8.2 DELTIC GROUP TRANSFORMED CUSTOMER INTERACTIONS AND BOOSTED REVENUE WITH IBM WATSONX ASSISTANT
5.8.3 ULRICH BOOSTED LEAD CONVERSION AND CUSTOMER ENGAGEMENT WITH DRIFT'S BIONIC CHATBOTS
5.8.4 LEICA GEOSYSTEMS INCREASED LEAD CONVERSIONS BY 300% WITH CONVERSICA'S AI ASSISTANT
5.8.5 GECKO HOSPITALITY AUTOMATED 90% OF CUSTOMER SERVICE WITH TIDIO'S AI-POWERED CHATBOTS
5.9 TECHNOLOGY ANALYSIS
5.9.1 KEY TECHNOLOGIES
5.9.1.1 Conversational AI
5.9.1.2 Robotic process automation (RPA)
5.9.1.3 Autonomous AI and autonomous agents
5.9.1.4 AutoML
5.9.1.5 Computer vision
5.9.1.6 Decision intelligence
5.9.2 COMPLEMENTARY TECHNOLOGIES
5.9.2.1 Internet of Things (IoT)
5.9.2.2 Causal AI
5.9.2.3 Big data
5.9.2.4 AR/VR
5.9.3 ADJACENT TECHNOLOGIES
5.9.3.1 Blockchain
5.9.3.2 Edge computing
5.9.3.3 Cybersecurity
5.10 REGULATORY LANDSCAPE
5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
5.10.2 REGULATIONS, BY REGION
5.10.2.1 North America
5.10.2.1.1 SCR 17: Artificial Intelligence Bill (California)
5.10.2.1.2 SB 1103: Artificial Intelligence Automated Decision Bill (Connecticut)
5.10.2.1.3 National Artificial Intelligence Initiative Act (NAIIA)
5.10.2.1.4 Artificial Intelligence and Data Act (AIDA) - Canada
5.10.2.2 Europe
5.10.2.2.1 European Union (EU) - Artificial Intelligence Act (AIA)
5.10.2.2.2 General Data Protection Regulation (Europe)
5.10.2.3 Asia Pacific
5.10.2.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
5.10.2.3.2 National AI Strategy (Singapore)
5.10.2.3.3 Hiroshima AI Process Comprehensive Policy Framework (Japan)
5.10.2.4 Middle East & Africa
5.10.2.4.1 National Strategy for Artificial Intelligence (UAE)
5.10.2.4.2 National Artificial Intelligence Strategy (Qatar)
5.10.2.4.3 AI Ethics Principles and Guidelines (Dubai, UAE)
6.1.1 OFFERING: AI FOR SALES & MARKETING MARKET DRIVERS
6.2 SALES
6.2.1 CUSTOMER RELATIONSHIP MANAGEMENT (CRM)
6.2.1.1 AI-powered CRM systems revolutionize sales and customer engagement by automating processes and providing real-time insights
6.2.2 EMAIL GENERATORS
6.2.2.1 AI-driven email generators enhance outreach and personalization by crafting customized messages at scale
6.2.3 CHATBOTS & VIRTUAL ASSISTANTS
6.2.3.1 Transforming customer interactions and sales processes by providing instant support and automating engagement
6.2.4 SALES AGENTS
6.2.4.1 Intelligent sales agents automate lead nurturing and conversion to improve efficiency and maximize revenue
6.2.5 SALES FORECASTING TOOLS
6.2.5.1 Advanced sales forecasting tools enable data-driven decision-making with accurate revenue predictions
6.2.6 SALES INTELLIGENCE TOOLS
6.2.6.1 AI-powered sales intelligence platforms deliver market and competitor insights to give sales teams competitive edge
6.2.7 LEAD SCORING TOOLS
6.2.7.1 Predictive lead scoring tools to help sales teams prioritize prospects by identifying high-value opportunities
6.2.8 OTHER SALES OFFERINGS
6.3 MARKETING
6.3.1 ADVERTISING TOOLS
6.3.1.1 AI-powered advertising tools to optimize ad targeting and maximize ROI with machine learning and predictive algorithms
6.3.2 DIGITAL MARKETING TOOLS
6.3.2.1 AI-driven digital marketing tools to automate processes and personalizing campaigns for greater customer engagement and efficiency
6.3.3 CONTENT CREATION & COPYWRITING TOOLS
6.3.3.1 AI content generation and copywriting tools transform content creation by producing high-quality, personalized copy at scale
6.3.3.2 Text generators
6.3.3.3 Image generators
6.3.3.4 Video generators
6.3.3.5 Audio & speech generators
6.3.4 SOCIAL MEDIA MANAGEMENT
6.3.4.1 AI social media management tools to enhance engagement, track performance, and enable real-time brand adjustments
6.3.5 SEO OPTIMIZATION SOFTWARE
6.3.5.1 AI-powered SEO optimization software to modernize search strategies with data-driven insights and advanced keyword analysis
6.3.6 MARKETING AGENTS
6.3.6.1 AI marketing agents to automate lead nurturing and customer segmentation to increase marketing efficiency and conversion rates
6.3.7 CUSTOMER DATA PLATFORM (CDP)
6.3.7.1 Unifying customer data for hyper-targeted marketing campaigns and improved engagement
6.3.8 CHATBOTS & CONVERSATIONAL MARKETING TOOLS
6.3.8.1 Engaging customers, qualifying leads, and improving customer experiences with AI-driven interactions
6.3.9 OTHER MARKETING OFFERINGS
7 AI FOR SALES & MARKETING MARKET, BY DEPLOYMENT MODE
7.1 INTRODUCTION
7.1.1 DEPLOYMENT MODE: AI FOR SALES & MARKETING MARKET DRIVERS
7.2 ON-PREMISES
7.2.1 ENSURING MAXIMUM DATA CONTROL WHILE DEMANDING HIGH INVESTMENT
7.3 CLOUD
7.3.1 DRIVING SCALABILITY AND INNOVATION BUT RAISES SECURITY CONCERNS
8 AI FOR SALES & MARKETING MARKET, BY APPLICATION
8.1 INTRODUCTION
8.1.1 APPLICATION: AI FOR SALES & MARKETING MARKET DRIVERS
8.2 SALES APPLICATIONS
8.2.1 SENTIMENT ANALYSIS
8.2.1.1 Leveraging AI to decode customer emotions and enhance sales conversations in real time
8.2.2 PREDICTIVE FORECASTING
8.2.2.1 Improving sales accuracy with AI-driven predictive forecasting for smarter decision-making and revenue growth
8.2.3 CALL SUMMARIES & EXPLORATION
8.2.3.1 Automating call summaries and insights to improve sales productivity and customer engagement
8.2.4 GUIDED SELLING & REPORTING
8.2.4.1 Empowering sales teams with AI-powered guided selling and data-driven reporting for better conversions
8.2.5 CONVERSATION MINING
8.2.5.1 Uncovering actionable sales insights through AI-driven conversation mining and customer interaction analysis
8.2.6 PRICING & QUOTATION OPTIMIZATION
8.2.6.1 Maximizing profitability with AI-driven pricing and quotation optimization for competitive advantage
8.2.7 REVENUE INTELLIGENCE
8.2.7.1 Leveraging AI-powered revenue intelligence to drive sales growth and forecasting accuracy
8.2.8 COMPETITOR ANALYSIS
8.2.8.1 Harnessing AI-powered insights to stay ahead of market trends and outperform business rivals
8.2.9 DEAL & PIPELINE MANAGEMENT
8.2.9.1 Optimizing sales pipelines with AI-driven deal intelligence for higher conversion rates and revenue growth
8.2.10 OTHER SALES APPLICATIONS
8.3 MARKETING APPLICATIONS
8.3.1 PREDICTIVE ANALYTICS
8.3.1.1 Harnessing AI-powered predictive analytics to anticipate consumer behavior and optimize data-driven marketing strategies for growth
8.3.2 CONTENT MARKETING & GENERATION
8.3.2.1 Revolutionizing content marketing with AI-generated text images and videos to enhance engagement and streamline production
8.3.3 AUDIENCE SEGMENTATION & PERSONALIZATION
8.3.3.1 Leveraging AI-driven audience segmentation and personalization to deliver highly targeted marketing campaigns that drive conversions
8.3.4 PROGRAMMATIC ADVERTISING
8.3.4.1 Maximizing advertising efficiency with AI-powered programmatic buying for real-time bidding and optimized ad placements
8.3.5 CUSTOMER EXPERIENCE MANAGEMENT
8.3.5.1 AI-driven chatbots for sentiment analysis and personalized interactions across digital platforms
8.3.6 CAMPAIGN MANAGEMENT
8.3.6.1 AI automation for smarter budget allocation performance optimization and audience targeting
8.3.7 VOICE SEARCH OPTIMIZATION
8.3.7.1 Optimizing voice search strategies with AI to improve search rankings and increase visibility in conversational queries
8.3.8 OTHER MARKETING APPLICATIONS
9 AI FOR SALES & MARKETING MARKET, BY TECHNOLOGY
9.1 INTRODUCTION
9.1.1 TECHNOLOGY: AI FOR SALES & MARKETING MARKET DRIVERS
9.2 GENERATIVE AI
9.2.1 HELPING BUSINESSES TO SCALE THEIR MARKETING EFFORTS WHILE MAINTAINING HIGH LEVELS OF PERSONALIZATION AND CREATIVITY
9.3 OTHER AI
9.3.1 MACHINE LEARNING
9.3.1.1 Optimizing customer segmentation and campaign performance through data-driven insights
9.3.2 NATURAL LANGUAGE PROCESSING
9.3.2.1 Improving customer interactions and content creation with advanced language understanding
9.3.3 PREDICTIVE ANALYTICS
9.3.3.1 Anticipating customer behavior and optimizing marketing campaigns for better results
9.3.4 CONTEXT-AWARE AI
9.3.4.1 Delivering real-time personalized experiences and adapting to customer behavior
10 AI FOR SALES & MARKETING MARKET, BY END USER
10.1 INTRODUCTION
10.1.1 END USER: AI FOR SALES & MARKETING MARKET DRIVERS
10.2 ENTERPRISES
10.2.1 BFSI
10.2.1.1 Transforming sales and marketing with AI-driven personalization predictive analytics and automated customer engagement
10.2.2 RETAIL & E-COMMERCE
10.2.2.1 Leveraging AI for hyper-personalized marketing, optimized customer journeys, and automated sales processes
10.2.3 TECHNOLOGY & SOFTWARE
10.2.3.1 Enhancing sales and marketing with AI-powered automation predictive analytics and targeted outreach
10.2.4 MEDIA & ENTERTAINMENT
10.2.4.1 AI to revolutionize content marketing audience targeting and customer engagement strategies
10.2.5 MANUFACTURING
10.2.5.1 Integrating AI for streamlined sales, automated marketing, and data-driven customer engagement strategies
10.2.6 HEALTHCARE & LIFE SCIENCES
10.2.6.1 Adopting AI for predictive analytics, personalized marketing, and improved patient engagement
10.2.7 EDUCATION
10.2.7.1 Leveraging AI to enhance enrollment marketing student engagement and data-driven personalization strategies
10.2.8 TELECOMMUNICATIONS
10.2.8.1 Utilizing AI for predictive customer insights, targeted marketing, and enhanced service personalization
10.2.9 AUTOMOTIVE
10.2.9.1 Using AI for smart sales, targeted marketing, and personalized customer experiences in vehicle retail
10.2.10 TRAVEL & HOSPITALITY
10.2.10.1 Adopting AI for seamless bookings, hyper-personalized marketing, and enhanced customer experiences
10.2.11 OTHER ENTERPRISE END USERS
10.3 INDIVIDUAL USERS
11 AI FOR SALES & MARKETING MARKET, BY REGION
11.1 INTRODUCTION
11.2 NORTH AMERICA
11.2.1 NORTH AMERICA: AI FOR SALES & MARKETING MARKET DRIVERS
11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
11.2.3 US
11.2.3.1 Tech giants and AI-driven startups continuously innovate and leverage AI to optimize customer experiences
11.2.4 CANADA
11.2.4.1 Thriving startup landscape alongside major AI research hubs to accelerate AI adoption in sales and marketing
11.3 EUROPE
11.3.1 EUROPE: AI FOR SALES & MARKETING MARKET DRIVERS
11.3.2 EUROPE: MACROECONOMIC OUTLOOK
11.3.3 UK
11.3.3.1 Companies integrate intelligent solutions to refine customer targeting, automate lead generation, and improve conversion rates
11.3.4 GERMANY
11.3.4.1 Berlin and Munich became AI innovation hubs, fostering collaboration between tech startups, established enterprises, and research institutions
11.3.5 FRANCE
11.3.5.1 French businesses increasingly leverage AI to automate marketing campaigns and gain deeper insights into consumer behavior
11.3.6 ITALY
11.3.6.1 Emphasis on brand storytelling and customer relationships, ingrained in Italian business culture, augmented by AI's ability to provide granular customer insights
11.3.7 SPAIN
11.3.7.1 Spanish focus on customer-centricity aligns with AI's ability to provide tailored solutions, fostering stronger brand relationships
11.3.8 REST OF EUROPE
11.4 ASIA PACIFIC
11.4.1 ASIA PACIFIC: AI FOR SALES & MARKETING MARKET DRIVERS
11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
11.4.3 CHINA
11.4.3.1 Government initiatives propel China's AI domination in sales and marketing
11.4.4 JAPAN
11.4.4.1 Japanese government's Society 5.0 initiative, aimed at integrating advanced technologies into various aspects of life, provides strong framework for AI adoption
11.4.5 INDIA
11.4.5.1 Digital India initiative, coupled with policies promoting AI research and development, provides strong impetus for market growth
11.4.6 SOUTH KOREA
11.4.6.1 Strong consumer electronics and e-commerce sectors: Key drivers of AI innovation
11.4.7 AUSTRALIA & NEW ZEALAND
11.4.7.1 Companies in ANZ leverage AI for customer segmentation, targeted advertising, and personalized product recommendations
11.4.8 SINGAPORE
11.4.8.1 Technological advancements and smart nation initiative to make it pivotal hub
11.4.9 REST OF ASIA PACIFIC
11.5 MIDDLE EAST & AFRICA
11.5.1 MIDDLE EAST & AFRICA: AI FOR SALES & MARKETING MARKET DRIVERS
11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
11.5.3 MIDDLE EAST
11.5.3.1 Kingdom of Saudi Arabia (KSA)
11.5.3.1.1 Government initiatives and FDI to bolster AI market in KSA
11.5.3.2 UAE
11.5.3.2.1 AI tools primarily enhance forecasting accuracy, enabling businesses to anticipate market trends and consumer behavior
11.5.3.3 Qatar
11.5.3.3.1 Private sector in Qatar to embrace AI to revolutionize marketing strategies
11.5.3.4 Kuwait
11.5.3.4.1 Collaborations with international tech firms enhance Kuwait's AI capabilities
11.5.3.5 Rest of the Middle East
11.5.4 AFRICA
11.6 LATIN AMERICA
11.6.1 LATIN AMERICA: AI FOR SALES & MARKETING MARKET DRIVERS
11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
11.6.3 BRAZIL
11.6.3.1 Substantial government initiatives and strategic investments directed at AI infrastructure
11.6.4 MEXICO
11.6.4.1 Widespread adoption of AI reflects national trend toward embracing advanced technologies to remain competitive in digital marketplace
11.6.5 ARGENTINA
11.6.5.1 Growth in market driven by need to enhance efficiency and personalization in marketing strategies
11.6.6 REST OF LATIN AMERICA
12 COMPETITIVE LANDSCAPE
12.1 OVERVIEW
12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2022-2025
12.3 REVENUE ANALYSIS, 2020-2024
12.4 MARKET SHARE ANALYSIS, 2024
12.5 PRODUCT COMPARATIVE ANALYSIS
12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY PROMINENT/ LEADING VENDOR
12.5.1.1 Salesforce Einstein AI and Pardot (Salesforce)
12.5.1.2 Google Cloud AI and Google Ads (Google)
12.5.1.3 Adobe Sensei and Marketo (Adobe)
12.5.1.4 Microsoft Dynamics 365 and Microsoft AI (Microsoft)
12.5.1.5 Oracle Eloqua and Oracle AI for Customer Experience (IBM)
12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY PROMINENT STARTUP/SME VENDOR
12.5.2.1 Outreach Platform (Outreach)
12.5.2.2 Cognism Prospector (Cognism)
12.5.2.3 People.ai Platform (People.ai)
12.5.2.4 Salesloft Platform (Salesloft)
12.5.2.5 Clari Revenue Platform (Clari)
12.6 COMPANY VALUATION AND FINANCIAL METRICS
12.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
12.7.1 STARS
12.7.2 EMERGING LEADERS
12.7.3 PERVASIVE PLAYERS
12.7.4 PARTICIPANTS
12.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
12.7.5.1 Company footprint
12.7.5.2 Technology footprint
12.7.5.3 Application footprint
12.7.5.4 Application footprint
12.7.5.5 End User footprint
12.7.5.6 Regional footprint
12.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
