세계의 영업 및 마케팅용 AI 시장 예측(-2030년) : 오퍼링별, 배포 모드별, 용도별, 기술별, 최종사용자별, 지역별

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.

"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)
    • 5.10.2.5 Latin America
      • 5.10.2.5.1 Santiago Declaration (Chile)
      • 5.10.2.5.2 Brazilian Artificial Intelligence Strategy (EBIA)
• 5.11 PATENT ANALYSIS
  • 5.11.1 METHODOLOGY
  • 5.11.2 PATENTS FILED, BY DOCUMENT TYPE
  • 5.11.3 INNOVATION AND PATENT APPLICATIONS
• 5.12 PRICING ANALYSIS
  • 5.12.1 AVERAGE SELLING PRICE OF OFFERING
  • 5.12.2 AVERAGE SELLING PRICE OF APPLICATION
• 5.13 KEY CONFERENCES AND EVENTS
• 5.14 PORTER'S FIVE FORCES ANALYSIS
  • 5.14.1 THREAT OF NEW ENTRANTS
  • 5.14.2 THREAT OF SUBSTITUTES
  • 5.14.3 BARGAINING POWER OF SUPPLIERS
  • 5.14.4 BARGAINING POWER OF BUYERS
  • 5.14.5 INTENSITY OF COMPETITION RIVALRY
• 5.15 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
  • 5.15.1 TRENDS/DISRUPTIONS IMPACTING CUSTOMERS' BUSINESSES
• 5.16 KEY STAKEHOLDERS & BUYING CRITERIA
  • 5.16.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.16.2 BUYING CRITERIA

6 AI FOR SALES & MARKETING MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 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
  • 12.8.1 PROGRESSIVE COMPANIES
  • 12.8.2 RESPONSIVE COMPANIES
  • 12.8.3 DYNAMIC COMPANIES
  • 12.8.4 STARTING BLOCKS
  • 12.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 12.8.5.1 Detailed list of key startups/SMEs
    • 12.8.5.2 Competitive benchmarking of key startups/SMEs (application)
    • 12.8.5.3 Competitive benchmarking of key startups/SMEs (end user and region)
• 12.9 COMPETITIVE SCENARIO AND TRENDS
  • 12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 12.9.2 DEALS

13 COMPANY PROFILES

• 13.1 INTRODUCTION
• 13.2 KEY PLAYERS
  • 13.2.1 IBM
    • 13.2.1.1 Business overview
    • 13.2.1.2 Products/Solutions/Services offered
    • 13.2.1.3 Recent developments
      • 13.2.1.3.1 Product launches and enhancements
      • 13.2.1.3.2 Deals
    • 13.2.1.4 MnM view
      • 13.2.1.4.1 Key strengths
      • 13.2.1.4.2 Strategic choices
      • 13.2.1.4.3 Weaknesses and competitive threats
  • 13.2.2 NVIDIA
    • 13.2.2.1 Business overview
    • 13.2.2.2 Products/Solutions/Services offered
    • 13.2.2.3 Recent developments
      • 13.2.2.3.1 Product launches and enhancements
      • 13.2.2.3.2 Deals
    • 13.2.2.4 MnM view
      • 13.2.2.4.1 Key strengths
      • 13.2.2.4.2 Strategic choices
      • 13.2.2.4.3 Weaknesses and competitive threats
  • 13.2.3 GOOGLE
    • 13.2.3.1 Business overview
    • 13.2.3.2 Products/Solutions/Services offered
    • 13.2.3.3 Recent developments
      • 13.2.3.3.1 Product launches and enhancements
      • 13.2.3.3.2 Deals
    • 13.2.3.4 MnM view
      • 13.2.3.4.1 Key strengths
      • 13.2.3.4.2 Strategic choices
      • 13.2.3.4.3 Weaknesses and competitive threats
  • 13.2.4 MICROSOFT
    • 13.2.4.1 Business overview
    • 13.2.4.2 Products/Solutions/Services offered
    • 13.2.4.3 Recent developments
      • 13.2.4.3.1 Product launches and enhancements
      • 13.2.4.3.2 Deals
    • 13.2.4.4 MnM view
      • 13.2.4.4.1 Key strengths
      • 13.2.4.4.2 Strategic choices
      • 13.2.4.4.3 Weaknesses and competitive threats
  • 13.2.5 AWS
    • 13.2.5.1 Business overview
    • 13.2.5.2 Products/Solutions/Services offered
    • 13.2.5.3 Recent developments
      • 13.2.5.3.1 Product launches and enhancements
      • 13.2.5.3.2 Deals
    • 13.2.5.4 MnM view
      • 13.2.5.4.1 Key strengths
      • 13.2.5.4.2 Strategic choices
      • 13.2.5.4.3 Weaknesses and competitive threats
  • 13.2.6 SALESFORCE
    • 13.2.6.1 Business overview
    • 13.2.6.2 Products/Solutions/Services offered
    • 13.2.6.3 Recent developments
      • 13.2.6.3.1 Product launches and enhancements
      • 13.2.6.3.2 Deals
  • 13.2.7 ORACLE
    • 13.2.7.1 Business overview
    • 13.2.7.2 Products/Solutions/Services offered
    • 13.2.7.3 Recent developments
      • 13.2.7.3.1 Deals
  • 13.2.8 ADOBE
    • 13.2.8.1 Business overview
    • 13.2.8.2 Products/Solutions/Services offered
    • 13.2.8.3 Recent developments
      • 13.2.8.3.1 Product launches and enhancements
      • 13.2.8.3.2 Deals
  • 13.2.9 SAP
    • 13.2.9.1 Business overview
    • 13.2.9.2 Products/Solutions/Services offered
    • 13.2.9.3 Recent developments
      • 13.2.9.3.1 Product launches and enhancements
      • 13.2.9.3.2 Deals
  • 13.2.10 SPROUT SOCIAL
    • 13.2.10.1 Business overview
    • 13.2.10.2 Products/Solutions/Services offered
    • 13.2.10.3 Recent developments
      • 13.2.10.3.1 Deals
  • 13.2.11 OPENAI
  • 13.2.12 HOOTSUITE
  • 13.2.13 ZOHO
  • 13.2.14 DIALPAD
  • 13.2.15 GONG.IO
  • 13.2.16 BRAND24
  • 13.2.17 HUBSPOT
  • 13.2.18 6SENSE
  • 13.2.19 PALANTIR TECHNOLOGIES
  • 13.2.20 KHOROS
  • 13.2.21 SPRINKLR
• 13.3 STARTUPS/SMES
  • 13.3.1 AICHAT
    • 13.3.1.1 Business overview
    • 13.3.1.2 Products/Solutions/Services offered
  • 13.3.2 PEOPLE.AI
  • 13.3.3 COPY.AI
  • 13.3.4 MOVEWORKS
  • 13.3.5 OUTREACH
  • 13.3.6 H20.AI
  • 13.3.7 SYNTHESIA
  • 13.3.8 JASPER
  • 13.3.9 WRITESONIC
  • 13.3.10 SALESLOFT
  • 13.3.11 ZAPIER
  • 13.3.12 HEYGEN
  • 13.3.13 CONVERSICA
  • 13.3.14 RELEVANCE AI
  • 13.3.15 VELOXY
  • 13.3.16 COGNISM
  • 13.3.17 LAVENDER
  • 13.3.18 CLARI
  • 13.3.19 TIDIO
  • 13.3.20 WRITER
  • 13.3.21 SEAMLESS.AI
  • 13.3.22 CREATIO
  • 13.3.23 LATELY.AI
  • 13.3.24 REGIE.AI

14 ADJACENT AND RELATED MARKETS

• 14.1 INTRODUCTION
• 14.2 ARTIFICIAL INTELLIGENCE (AI) MARKET
  • 14.2.1 MARKET DEFINITION
  • 14.2.2 MARKET OVERVIEW
    • 14.2.2.1 Artificial intelligence market, by offering
    • 14.2.2.2 Artificial intelligence market, by technology
    • 14.2.2.3 Artificial intelligence market, by business function
    • 14.2.2.4 Artificial intelligence market, by vertical
    • 14.2.2.5 Artificial intelligence market, by region
• 14.3 GENERATIVE AI MARKET
  • 14.3.1 MARKET DEFINITION
  • 14.3.2 MARKET OVERVIEW
    • 14.3.2.1 Generative AI market, by offering
    • 14.3.2.2 Generative AI market, by application
    • 14.3.2.3 Generative AI market, by vertical
    • 14.3.2.4 Generative AI market, by region

15 APPENDIX

• 15.1 DISCUSSION GUIDE
• 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 15.3 CUSTOMIZATION OPTIONS
• 15.4 RELATED REPORTS
• 15.5 AUTHOR DETAILS