세계의 AI SDR 시장 예측(-2030년) : 제공별, 사용 사례별

The AI SDR market is experiencing strong growth, projected to rise from USD 4.12 billion in 2025 to USD 15.01 billion by 2030, at a CAGR of 29.5% during the forecast period. Sales teams are increasingly turning to AI SDR solutions to achieve high-impact outreach through personalization at scale. By leveraging AI to analyze buyer signals, segment audiences, and adapt messaging in real time, organizations can deliver relevant, individualized communication across thousands of prospects. This approach improves engagement quality without compromising speed or volume.

AI-generated insights also enable SDRs to prioritize leads more effectively and tailor follow-ups based on intent or activity. As the pressure to convert top-of-funnel opportunities grows, scalable personalization has become essential for driving higher response rates, stronger pipeline conversions, and ultimately, more effective sales development outcomes.

"Mid-market sales organizations enterprise type segment to account for the fastest growth during the forecast period"

Mid-market sales organizations are driving the highest growth rate in the AI SDR market due to their need for scalable, cost-efficient prospecting solutions that enhance productivity without the complexity of large enterprise systems. These organizations often operate with leaner sales teams and limited resources, making AI-driven automation essential for high-volume lead generation and qualification. Cloud-based AI SDR tools offer quick deployment, seamless CRM integration, and measurable impact on pipeline velocity. Additionally, mid-market firms are increasingly adopting hybrid sales models, which benefit from AI-enhanced workflows that improve targeting, reduce manual tasks, and support consistent outbound performance across diverse customer segments.

"Cloud native SaaS deployment model to hold the largest market share during the forecast period"

The cloud-native SaaS deployment model is experiencing the highest growth rate in the AI SDR market due to its scalability, ease of integration, and minimal infrastructure requirements. It enables rapid onboarding, seamless updates, and flexible access across distributed sales teams, critical for dynamic prospecting environments. SaaS platforms support real-time data syncing with CRMs and sales engagement tools, enhancing lead accuracy and outreach efficiency. As sales organizations prioritize agility, remote enablement, and faster time-to-value, cloud-native AI SDR solutions offer an ideal fit. Their pay-as-you-go models also lower upfront costs, making them highly attractive to both mid-market firms and large enterprises.

"North America advances AI SDR deployment through enterprise-scale automation, while Asia Pacific accelerates adoption in fast-growing B2B markets."

North America leads the AI Sales Development Representative (SDR) market, driven by a mature digital infrastructure, widespread CRM integration, and the early adoption of AI in outbound sales workflows. Companies across sectors use AI SDR tools to automate prospecting, improve lead qualification, and streamline high-volume outreach. The presence of advanced sales ecosystems and a strong base of AI-first vendors supports continued innovation in areas like intent-based targeting, real-time engagement suggestions, and dynamic lead enrichment. In contrast, Asia Pacific represents the fastest-growing region for AI SDR adoption, spurred by rapid digitalization, a surge in B2B SaaS activity, and increasing demand for scalable sales automation. Markets like India, China, and Japan are actively deploying AI tools to manage lead sourcing, customize cold outreach, and accelerate qualification at scale. The region's expanding digital economy, supported by startup growth and digital infrastructure investments, is reshaping sales development across sectors. As organizations seek more efficient and intelligent ways to drive top-of-funnel engagement, Asia Pacific is becoming a key growth hub for AI SDR solutions.

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 SDR market.

• By Company: Tier I - 25%, Tier II - 45%, and Tier III - 30%
• By Designation: C-Level Executives - 35%, D-Level Executives - 40%, and Others - 25%
• By Region: North America - 45%, Europe - 25%, Asia Pacific - 15%, Middle East & Africa - 10%, and Latin America - 5%

The report includes a study of key players offering AI SDR. The major market players include HubSpot (US), Salesforce (US), Dialpad (US), Salesloft (US), 6Sense (US), ZoomInfo (US), Apollo.io (US), OpenAI (US), Clari (US), Cognism (UK), Microsoft (US), GupShup (US), Outreach (US), Vidyard (Canada), Plivo (US), Qualified (US), Otter.ai (US), Conversica (US), Klenty (India), Reply.io (US), Seamless.ai (US), Waalaxy (France), Common Room (US), Artisan AI (US), UserGems (US), Scratchpad (US), Clay (US), Unify (Germany), Lyzr AI (US), Humantic AI (US), Relevance AI (Australia), Regie.ai (US), Salesforge (Estonia), 11x AI (UK), Floworks (US), Warmly (US), Luru (US), AiSDR (US), Bluebirds (US), ChaseLabs (UK), SuperRep.ai (US), SuperAGI (US), Instantly (US), Persana AI (US), Factors.ai (US), and Saleshandy (India).

Research Coverage

This research report categorizes the AI SDR market based on offering (software (AI Outreach Assistants (Personalized Email Generators, Cold Call Script Writers, Follow-Up Sequencers), Conversation Intelligence Tools (Real-Time Coaching, Sentiment & Intent Detection, Objection Handling), AI-Enhanced Sales Engagement Platforms (Multichannel Sequencing, Engagement Scoring, Meeting Booking), Lead Research & Enrichment Bots (AI-ICP Matching, Enrichment, Trigger Monitoring), Email Deliverability Optimizers (Spam Risk Tools, Inbox Rotation & Warming), AI Script & Template Generators (Agent-led Outreach Execution, Persona-based Prompting, SDR Agent Monitoring Dashboard)) and services (Workflow Automation Setup & Integration, AI Personalization & Prompt Consulting, Deliverability & Spam Audit Services), deployment model (Cloud-Native SaaS, Chrome Extensions, API-first Modular Embeds), sales channel (Inbound, Outbound, Hybrid), use case (Lead Generation & Qualification (Outbound Email Personalization, Inbound Lead Qualification, Lead Routing & Prioritization), Prospecting & Outreach (Cold Calling Assistance, Conversation Summarization), CRM Integration & Data Management (CRMs, Data Providers), Meeting & Appointment Scheduling , Research, Coaching & SDR Enablement (SDR Enablement & Onboarding, Research & Coaching), Follow-up & Nurturing, Sales Reporting & Analytics, Integration Environment (Email Tools, Sales Engagement Platforms, Marketing Platforms)), end user (enterprise type (Startups & SMBs, Mid-Market Sales Organizations, Enterprise SDR Teams), industry vertical (Retail & E-commerce, BFSI (Banking, Financial Services, Insurance), Telecommunications, Healthcare & Life Sciences, Education, Media & Entertainment (Marketing & Advertising Agencies, Music & Film Production, Gaming & Sports, Publishing & Print Media, Broadcasting & Streaming), Manufacturing, Travel & Hospitality, Real Estate & Construction, Automotive, Transportation & Logistics, and Other Industry Verticals (Law Firms, Government And Public Sector)), and region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America).

The scope of the report covers detailed information regarding drivers, restraints, challenges, and opportunities influencing the growth of the AI SDR market. A detailed analysis of the key industry players was done to provide insights into their business overview, solutions, and services; key strategies; contracts, partnerships, agreements, product & service launches, and mergers and acquisitions; and recent developments associated with the market. This report also covered the competitive analysis of upcoming startups in the market ecosystem.

Key Benefits of Buying the Report

The report will provide market leaders and new entrants with information on the closest approximations of the revenue numbers for the overall AI SDR market and its subsegments. It will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and plan suitable go-to-market strategies. It will also help stakeholders understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights into the following pointers:

• Analysis of key drivers (Adoption of Hybrid Human-AI Sales Engagement Models, Intent-Based Prospecting Enhances Lead Targeting and Boosts Conversion in AI SDR Platforms, Maximizing Sales Impact with Personalization at Scale), restraints (Inefficiencies in Segmentation Logic and Targeting Precision), opportunities (Emergence of Multi-Agent AI-Driven SDR Architectures, Advancing Sales Efficiency Through Predictive Lead Qualification, Transforming Process Optimization with Adaptive, Self-Improving Agentic AI Capabilities), and challenges (Deficiencies in Emotional Intelligence and Contextual Adaptability, Reliance on High-Fidelity and Contextually Accurate Data Inputs)
• Product Development/Innovation: Detailed insights into upcoming technologies, research & development activities, and product & service launches in the AI SDR
• Market Development: Comprehensive information about lucrative markets - analyzing the AI SDR market across varied regions
• Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI SDR market
• Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading players such as HubSpot (US), Salesforce (US), Dialpad (US), Salesloft (US), 6Sense (US), ZoomInfo (US), Apollo.io (US), OpenAI (US), Clari (US), Cognism (UK), Microsoft (US), GupShup (US), Outreach (US), Vidyard (Canada), Plivo (US), Qualified (US), Otter.ai (US), Conversica (US), Klenty (India), Reply.io (US), Seamless.ai (US), Waalaxy (France), Common Room (US), Artisan AI (US), UserGems (US), Scratchpad (US), Clay (US), Unify (Germany), Lyzr AI (US), Humantic AI (US), Relevance AI (Australia), Regie.ai (US), Salesforge (Estonia), 11x AI (UK), Floworks (US), Warmly (US), Luru (US), AiSDR (US), Bluebirds (US), ChaseLabs (UK), SuperRep.ai (US), SuperAGI (US), Instantly (US), Persana AI (US), Factors.ai (US), and Saleshandy (India)

The report also helps stakeholders understand the pulse of the AI SDR 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
  • 1.2.1 INCLUSIONS AND EXCLUSIONS
• 1.3 MARKET SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 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 Primary interviews
    • 2.1.2.2 Breakup of primary profiles
    • 2.1.2.3 Key industry insights
• 2.2 MARKET BREAKUP AND 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 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN AI SDR MARKET
• 4.2 AI SDR MARKET: TOP THREE ENTERPRISE TYPES
• 4.3 NORTH AMERICA: AI SDR MARKET, BY DEPLOYMENT MODEL AND ENTERPRISE TYPE
• 4.4 AI SDR MARKET, BY REGION

5 MARKET OVERVIEW

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Rising implementation of hybrid human-AI sales engagement models
    • 5.2.1.2 Growing adoption of intent-based prospecting and predictive analytics
    • 5.2.1.3 Increasing use of AI to deliver real-time, data-driven personalization
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Inefficiencies in segmentation logic and targeting precision
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Emergence of multi-agent AI-driven SDR architectures
    • 5.2.3.2 Growing sales efficiency through predictive lead qualification
    • 5.2.3.3 Increasing deployment of agentic AI for autonomous workflow execution
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Deficiencies in emotional intelligence and contextual adaptability
    • 5.2.4.2 Reliance on high-fidelity and contextually accurate data inputs
• 5.3 AI SDRS AND SALES AGENTS: STRATEGIC COMPARISON
  • 5.3.1 COMPARISON BETWEEN AI SDRS AND AI AGENTS FOR SALES
• 5.4 EVOLUTION OF AI SDR MARKET
• 5.5 SUPPLY CHAIN ANALYSIS
• 5.6 ECOSYSTEM ANALYSIS
  • 5.6.1 SOFTWARE PROVIDERS
    • 5.6.1.1 AI outreach assistants
    • 5.6.1.2 Conversation intelligence tools
    • 5.6.1.3 AI-enhanced sales engagement platforms
    • 5.6.1.4 Lead research & enrichment bots
    • 5.6.1.5 Email deliverability optimizers
    • 5.6.1.6 AI script & template generators
• 5.7 INVESTMENT AND FUNDING SCENARIO
• 5.8 CASE STUDY ANALYSIS
  • 5.8.1 CASE STUDY 1: KEATEXT BOOSTS LEAD QUALITY AND SALES ALIGNMENT USING HUBSPOT SALES HUB INTEGRATION
  • 5.8.2 CASE STUDY 2: ARTISAN EMPOWERS BIOACCESS TO OVERCOME MANUAL OUTREACH CHALLENGES WITH AI-DRIVEN SALES AUTOMATION
  • 5.8.3 CASE STUDY 3: SPENDESK AND SALESLOFT SUPERCHARGE OUTREACH WITH CADENCE AUTOMATION FOR 10X RESPONSE BOOST
  • 5.8.4 CASE STUDY 4: ACTIONCOACH INCREASED QUALIFIED MEETINGS USING COGNISM'S AI SDR SOLUTION FOR TARGETED OUTREACH
  • 5.8.5 CASE STUDY 5: EMPOWERING NETSKOPE SDRS TO TRANSFORM PROSPECTING WITH 6SENSE CONTACT DATA AND INSIGHTS
• 5.9 TECHNOLOGY ANALYSIS
  • 5.9.1 KEY TECHNOLOGIES
    • 5.9.1.1 Agentic AI
    • 5.9.1.2 RPA
    • 5.9.1.3 Decision intelligence
  • 5.9.2 COMPLEMENTARY TECHNOLOGIES
    • 5.9.2.1 Cloud computing
    • 5.9.2.2 Causal AI
  • 5.9.3 ADJACENT TECHNOLOGIES
    • 5.9.3.1 Cybersecurity
    • 5.9.3.2 Edge computing
• 5.10 REGULATORY LANDSCAPE
  • 5.10.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.10.2 REGULATORY FRAMEWORK
    • 5.10.2.1 North America
      • 5.10.2.1.1 US
      • 5.10.2.1.2 Canada
    • 5.10.2.2 Europe
      • 5.10.2.2.1 UK
      • 5.10.2.2.2 Germany
      • 5.10.2.2.3 France
      • 5.10.2.2.4 Italy
    • 5.10.2.3 Asia Pacific
      • 5.10.2.3.1 India
      • 5.10.2.3.2 China
      • 5.10.2.3.3 Japan
      • 5.10.2.3.4 South Korea
      • 5.10.2.3.5 Australia
    • 5.10.2.4 Middle East & Africa
      • 5.10.2.4.1 Saudi Arabia
      • 5.10.2.4.2 UAE
      • 5.10.2.4.3 Qatar
      • 5.10.2.4.4 Turkey
      • 5.10.2.4.5 Africa
    • 5.10.2.5 Latin America
      • 5.10.2.5.1 Brazil
      • 5.10.2.5.2 Mexico
      • 5.10.2.5.3 Argentina
• 5.11 PATENT ANALYSIS
  • 5.11.1 METHODOLOGY
  • 5.11.2 PATENTS FILED, BY DOCUMENT TYPE, 2016-2025
  • 5.11.3 INNOVATION AND PATENT APPLICATIONS
• 5.12 PRICING ANALYSIS
  • 5.12.1 AVERAGE SELLING PRICE OF FUNCTIONALITY, BY KEY PLAYER
  • 5.12.2 AVERAGE SELLING PRICE, BY SALES PROCESS
• 5.13 KEY CONFERENCES AND EVENTS, 2025-2026
• 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 COMPETITIVE RIVALRY
• 5.15 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.15.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.15.2 BUYING CRITERIA
• 5.16 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.17 HUMAN SDRS VS. AI SDRS

6 AI SDR MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: AI SDR MARKET DRIVERS
• 6.2 SOFTWARE
  • 6.2.1 AI OUTREACH ASSISTANTS
    • 6.2.1.1 Expand outbound capacity and improve response precision with AI-driven outreach
    • 6.2.1.2 Personalized email generators
    • 6.2.1.3 Cold call script writers
    • 6.2.1.4 Follow-up sequencers
  • 6.2.2 CONVERSATION INTELLIGENCE TOOLS
    • 6.2.2.1 Enhance SDR performance with real-time coaching and data-backed outreach insights
    • 6.2.2.2 Real-time coaching
    • 6.2.2.3 Sentiment & intent detection
    • 6.2.2.4 Objection handling
  • 6.2.3 AI-ENHANCED SALES ENGAGEMENT PLATFORMS
    • 6.2.3.1 Increase conversions through adaptive sequencing, timely engagement, and behavioral insight integration
    • 6.2.3.2 Multi-channel sequencing
    • 6.2.3.3 Engagement scoring
    • 6.2.3.4 Meeting booking
  • 6.2.4 LEAD RESEARCH & ENRICHMENT BOTS
    • 6.2.4.1 Boosting AI SDR efficiency through automated, accurate, and context-rich lead data enrichment
    • 6.2.4.2 AI-ICP matching
    • 6.2.4.3 Enrichment
    • 6.2.4.4 Trigger monitoring
  • 6.2.5 EMAIL DELIVERABILITY OPTIMIZERS
    • 6.2.5.1 Real-time inbox monitoring to maximize email deliverability
    • 6.2.5.2 Spam risk tools
    • 6.2.5.3 Inbox rotation & warming
  • 6.2.6 AI SCRIPT & TEMPLATE GENERATORS
    • 6.2.6.1 AI script and template generators deliver custom messaging at scale for sales teams
    • 6.2.6.2 Agent-led outreach execution
    • 6.2.6.3 Persona-based prompting
    • 6.2.6.4 SDR agent monitoring dashboard
• 6.3 SERVICES
  • 6.3.1 WORKFLOW AUTOMATION SETUP & INTEGRATION
    • 6.3.1.1 Automate SDR processes and sync sales tools for faster lead execution
  • 6.3.2 AI PERSONALIZATION & PROMPT CONSULTING
    • 6.3.2.1 Align AI messaging and persona relevance with integrated prompt support
  • 6.3.3 DELIVERABILITY & SPAM AUDIT SERVICES
    • 6.3.3.1 Detection of risk signals and calibrating AI content to maintain sender score integrity

7 AI SDR MARKET, BY DEPLOYMENT MODEL

• 7.1 INTRODUCTION
  • 7.1.1 DEPLOYMENT MODEL: AI SDR MARKET DRIVERS
• 7.2 CLOUD-NATIVE SAAS
  • 7.2.1 ENABLING SCALABLE, CENTRALIZED AI SDR AUTOMATION ACROSS DISTRIBUTED SALES TEAMS
• 7.3 CHROME EXTENSIONS
  • 7.3.1 BOOSTING REP PRODUCTIVITY WITH SEAMLESS, BROWSER-BASED AI SDR WORKFLOW ENHANCEMENTS
• 7.4 API-FIRST MODULAR EMBEDS
  • 7.4.1 EMPOWERING CUSTOM AI SDR SOLUTIONS THROUGH FLEXIBLE, DEVELOPER-CENTRIC API INTEGRATIONS

8 AI SDR MARKET, BY SALES CHANNEL

• 8.1 INTRODUCTION
  • 8.1.1 SALES CHANNEL: AI SDR MARKET DRIVERS
• 8.2 INBOUND
  • 8.2.1 ENHANCING LEAD CONVERSION THROUGH AI-POWERED ENGAGEMENT OF INTERESTED PROSPECTS
• 8.3 OUTBOUND
  • 8.3.1 DRIVING PROACTIVE OUTREACH WITH SCALABLE, AI-DRIVEN PROSPECTING AND PERSONALIZATION
• 8.4 HYBRID
  • 8.4.1 INTEGRATING INBOUND AND OUTBOUND STRATEGIES FOR UNIFIED, ADAPTIVE SALES ENGAGEMENT

9 AI SDR MARKET, BY USE CASE

• 9.1 INTRODUCTION
  • 9.1.1 USE CASE: AI SDR MARKET DRIVERS
• 9.2 LEAD GENERATION & QUALIFICATION
  • 9.2.1 IMPROVING PIPELINE PRECISION WITH PREDICTIVE LEAD GENERATION AND SCORING
  • 9.2.2 OUTBOUND EMAIL PERSONALIZATION
  • 9.2.3 INBOUND LEAD QUALIFICATION
  • 9.2.4 LEAD ROUTING & PRIORITIZATION
• 9.3 PROSPECTING & OUTREACH
  • 9.3.1 OPTIMIZING LEAD DISCOVERY AND ENGAGEMENT TIMING WITH AI-DRIVEN PROSPECTING LOGIC
  • 9.3.2 COLD CALLING ASSISTANCE
  • 9.3.3 CONVERSATION SUMMARIZATION
• 9.4 CRM INTEGRATION & DATA MANAGEMENT
  • 9.4.1 ENHANCING OUTREACH PRECISION AND WORKFLOW EFFICIENCY WITH UNIFIED CRM DATA INFRASTRUCTURE
  • 9.4.2 CRMS
  • 9.4.3 DATA PROVIDERS
• 9.5 MEETING & APPOINTMENT SCHEDULING
  • 9.5.1 IMPROVING CONVERSION EFFICIENCY THROUGH AI SCHEDULING AND INTELLIGENT COORDINATION
• 9.6 RESEARCH, COACHING, & SDR ENABLEMENT
  • 9.6.1 ENABLING SMARTER PROSPECTING AND SKILL DEVELOPMENT WITH AI-DRIVEN INSIGHTS AND COACHING
  • 9.6.2 SDR ENABLEMENT & ONBOARDING
  • 9.6.3 RESEARCH COACHING
• 9.7 FOLLOW-UP & NURTURING
  • 9.7.1 BOOSTING PROSPECT CONVERSION THROUGH ADAPTIVE AND AUTOMATED AI NURTURING SEQUENCES
• 9.8 SALES REPORTING & ANALYTICS
  • 9.8.1 IMPROVING SDR ACCURACY AND IMPACT THROUGH REAL-TIME AI SALES ANALYTICS
• 9.9 INTEGRATION ENVIRONMENT
  • 9.9.1 UNIFYING SALES WORKFLOWS AND DATA WITH SEAMLESS AI SDR SYSTEM INTEGRATION
  • 9.9.2 EMAIL TOOLS
  • 9.9.3 SALES ENGAGEMENT PLATFORMS
  • 9.9.4 MARKETING PLATFORMS

10 AI SDR MARKET, BY END USER

• 10.1 INTRODUCTION
  • 10.1.1 END USER: AI SDR MARKET DRIVERS
• 10.2 ENTERPRISE TYPE
  • 10.2.1 STARTUPS & SMBS
    • 10.2.1.1 Accelerating scalable outreach and lead conversion for startups and SMBs using AI SDRs
  • 10.2.2 MID-MARKET SALES ORGANIZATIONS
    • 10.2.2.1 Streamlining cross-functional alignment and accelerating scalable pipeline growth with AI SDR solutions
  • 10.2.3 ENTERPRISE SDR TEAMS
    • 10.2.3.1 Driving strategic account engagement and data-integrated execution across enterprise sales operations
• 10.3 INDUSTRY VERTICAL
  • 10.3.1 RETAIL & E-COMMERCE
    • 10.3.1.1 Driving revenue velocity through hyper-personalized outreach in retail & e-commerce
  • 10.3.2 BFSI
    • 10.3.2.1 Enabling compliant, data-driven outreach for financial product sales efficiency
    • 10.3.2.2 Banking
    • 10.3.2.3 Financial services
    • 10.3.2.4 Insurance
  • 10.3.3 TELECOMMUNICATIONS
    • 10.3.3.1 Enhancing buyer targeting and channel engagement across telecom sales operations
  • 10.3.4 HEALTHCARE & LIFE SCIENCES
    • 10.3.4.1 Improving clinical outreach and product positioning through AI-enabled engagement
  • 10.3.5 EDUCATION
    • 10.3.5.1 Scaling enrollment pipelines and institutional sales through adaptive outreach in education
  • 10.3.6 MEDIA & ENTERTAINMENT
    • 10.3.6.1 Expanding content partnerships and subscriber growth through intelligent sales automation
    • 10.3.6.2 Marketing & advertising agencies
    • 10.3.6.3 Music & film production
    • 10.3.6.4 Gaming & sports
    • 10.3.6.5 Publishing & print media
    • 10.3.6.6 Broadcasting & streaming
  • 10.3.7 MANUFACTURING
    • 10.3.7.1 Optimizing technical sales pipelines with intelligent distributor and OEM targeting
  • 10.3.8 TRAVEL & HOSPITALITY
    • 10.3.8.1 Boosting corporate bookings and guest conversions with adaptive sales engagement
  • 10.3.9 REAL ESTATE & CONSTRUCTION
    • 10.3.9.1 Accelerating investor outreach and project engagement through targeted AI prospecting
  • 10.3.10 AUTOMOTIVE, TRANSPORTATION & LOGISTICS
    • 10.3.10.1 Streamlining fleet sales and supply chain outreach with predictive AI workflows
  • 10.3.11 OTHER INDUSTRY VERTICALS

11 AI SDR MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 NORTH AMERICA: AI SDR MARKET DRIVERS
  • 11.2.2 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 11.2.3 US
    • 11.2.3.1 Rapid implementation of AI SDR platforms by enterprises to enhance sales efficiency and conversion rates
  • 11.2.4 CANADA
    • 11.2.4.1 Advancing privacy-centric AI SDR solutions to drive responsible sales automation
• 11.3 EUROPE
  • 11.3.1 EUROPE: AI SDR MARKET DRIVERS
  • 11.3.2 EUROPE: MACROECONOMIC OUTLOOK
  • 11.3.3 UK
    • 11.3.3.1 Precision outreach and seamless AI integration drive scalable sales transformation
  • 11.3.4 GERMANY
    • 11.3.4.1 Demand for transparent AI and secure integration accelerates enterprise sales innovation
  • 11.3.5 FRANCE
    • 11.3.5.1 Localized outreach and social sequencing accelerate AI SDR adoption
  • 11.3.6 ITALY
    • 11.3.6.1 AI SDR integration enhances sales efficiency and lead conversion across enterprises
  • 11.3.7 SPAIN
    • 11.3.7.1 AI SDR adoption accelerates pipeline velocity and multi-market reach for firms
  • 11.3.8 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 ASIA PACIFIC: AI SDR MARKET DRIVERS
  • 11.4.2 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 11.4.3 CHINA
    • 11.4.3.1 Enhancing prospecting efficiency with localized AI SDR tools and native platform integration
  • 11.4.4 JAPAN
    • 11.4.4.1 Precision-driven AI SDR adoption anchored in localization, workflow integration, and channel alignment
  • 11.4.5 INDIA
    • 11.4.5.1 Boosting SDR productivity with lead prioritization, sequencing, and scalable outreach tools
  • 11.4.6 SOUTH KOREA
    • 11.4.6.1 Driving high-impact outreach through sequencing and buyer targeting
  • 11.4.7 AUSTRALIA & NEW ZEALAND
    • 11.4.7.1 Improving pipeline velocity and targeting precision with data-led outreach tools and insights
  • 11.4.8 ASEAN
    • 11.4.8.1 Accelerating market adoption amid rapid digital expansion
  • 11.4.9 REST OF ASIA PACIFIC
• 11.5 MIDDLE EAST & AFRICA
  • 11.5.1 MIDDLE EAST & AFRICA: AI SDR MARKET DRIVERS
  • 11.5.2 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
  • 11.5.3 MIDDLE EAST
    • 11.5.3.1 Saudi Arabia
      • 11.5.3.1.1 Vision-led innovation and Arabic-centric AI propel SDR transformation
    • 11.5.3.2 UAE
      • 11.5.3.2.1 Accelerating AI SDR adoption due to robust data governance and multilingual demands
    • 11.5.3.3 Qatar
      • 11.5.3.3.1 Increasing AI SDR adoption due to broader digital transformation
    • 11.5.3.4 Turkey
      • 11.5.3.4.1 Driving sales efficiency through SDR personalization and intelligent outreach
    • 11.5.3.5 Rest of Middle East
  • 11.5.4 AFRICA
    • 11.5.4.1 Driving sales transformation with enterprise AI and stringent data compliance
• 11.6 LATIN AMERICA
  • 11.6.1 LATIN AMERICA: AI SDR MARKET DRIVERS
  • 11.6.2 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 11.6.3 BRAZIL
    • 11.6.3.1 AI SDR automation driving pipeline scale and response speed in tech firms
  • 11.6.4 MEXICO
    • 11.6.4.1 Multichannel personalization and localized engagement boosting AI SDR adoption
  • 11.6.5 ARGENTINA
    • 11.6.5.1 AI-powered prospecting enabling lean SDR teams to expand reach
  • 11.6.6 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

• 12.1 OVERVIEW
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2025
• 12.3 REVENUE ANALYSIS, 2020-2024
• 12.4 MARKET SHARE ANALYSIS, 2024
• 12.5 PRODUCT COMPARISON
  • 12.5.1 PRODUCT COMPARATIVE ANALYSIS, BY ENTERPRISE TYPE (STARTUPS & SMBS)
    • 12.5.1.1 Breeze (HubSpot)
    • 12.5.1.2 Apollo.io platform (Apollo.io)
    • 12.5.1.3 Jazon (Lyzr AI)
    • 12.5.1.4 SchedX (Klenty)
    • 12.5.1.5 Agent Frank (Salesforge)
  • 12.5.2 PRODUCT COMPARATIVE ANALYSIS, BY ENTERPRISE TYPE (MID-MARKET SALES ORGANIZATIONS)
    • 12.5.2.1 AiSDR (AiSDR)
    • 12.5.2.2 Ava (Artisan AI)
    • 12.5.2.3 Gem-E (UserGems)
    • 12.5.2.4 Alisha AI SDR (Floworks)
    • 12.5.2.5 SuperRep (SuperRep.ai)
  • 12.5.3 PRODUCT COMPARATIVE ANALYSIS, BY ENTERPRISE TYPE (ENTERPRISE SDR TEAMS)
    • 12.5.3.1 Agentforce for Sales (Salesforce)
    • 12.5.3.2 Piper (Qualified)
    • 12.5.3.3 Luru AI SDR (Luru)
    • 12.5.3.4 Alice (11x AI)
    • 12.5.3.5 RoomieAI (Common Room)
• 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 Regional footprint
    • 12.7.5.3 Offering footprint
    • 12.7.5.4 Sales channel footprint
    • 12.7.5.5 Enterprise type 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
• 12.9 COMPETITIVE SCENARIO
  • 12.9.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 12.9.2 DEALS

13 COMPANY PROFILES

• 13.1 INTRODUCTION
• 13.2 KEY PLAYERS
  • 13.2.1 HUBSPOT
    • 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 SALESFORCE
    • 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 DIALPAD
    • 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 SALESLOFT
    • 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 6SENSE
    • 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 ZOOMINFO
    • 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 APOLLO.IO
    • 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 Product launches and enhancements
  • 13.2.8 OPENAI
    • 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 CLARI
    • 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 COGNISM
    • 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 Product launches and enhancements
  • 13.2.11 MICROSOFT
  • 13.2.12 GUPSHUP
  • 13.2.13 OUTREACH
  • 13.2.14 VIDYARD
  • 13.2.15 PLIVO
  • 13.2.16 QUALIFIED
  • 13.2.17 OTTER.AI
  • 13.2.18 CONVERSICA
  • 13.2.19 KLENTY
  • 13.2.20 REPLY.IO
  • 13.2.21 SEAMLESS.AI
  • 13.2.22 WAALAXY
• 13.3 OTHER PLAYERS
  • 13.3.1 COMMON ROOM
  • 13.3.2 ARTISAN AI
  • 13.3.3 USERGEMS
  • 13.3.4 SCRATCHPAD
  • 13.3.5 CLAY
  • 13.3.6 UNIFY
  • 13.3.7 LYZR AI
  • 13.3.8 HUMANTIC AI
  • 13.3.9 RELEVANCE AI
  • 13.3.10 REGIE.AI
  • 13.3.11 SALESFORGE
  • 13.3.12 11X AI
  • 13.3.13 FLOWORKS
  • 13.3.14 WARMLY
  • 13.3.15 LURU
  • 13.3.16 AISDR
  • 13.3.17 CHASELABS
  • 13.3.18 BLUEBIRDS
  • 13.3.19 SUPERREP.AI
  • 13.3.20 SUPERAGI
  • 13.3.21 INSTANTLY
  • 13.3.22 PERSANA AI
  • 13.3.23 FACTORS.AI
  • 13.3.24 SALESHANDY

14 ADJACENT AND RELATED MARKETS

• 14.1 INTRODUCTION
• 14.2 AI AGENTS MARKET - GLOBAL FORECAST TO 2030
  • 14.2.1 MARKET DEFINITION
  • 14.2.2 MARKET OVERVIEW
    • 14.2.2.1 AI agents market, by offering
    • 14.2.2.2 AI agents market, by end user
    • 14.2.2.3 AI agents market, by region
• 14.3 AI FOR SALES AND MARKETING MARKET - GLOBAL FORECAST TO 2030
  • 14.3.1 MARKET DEFINITION
  • 14.3.2 MARKET OVERVIEW
    • 14.3.2.1 AI for sales and marketing market, by offering
    • 14.3.2.2 AI for sales and marketing market, by application
    • 14.3.2.3 AI for sales and marketing market, by end user
    • 14.3.2.4 AI for sales and marketing 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