Comparing 24 vendors in AI for Sales and Marketing Startups across 0 criteria.
The landscape of sales and marketing is rapidly evolving, marked by the transformative influence of artificial intelligence (AI). With the advent of AI-driven solutions, enterprises globally are reconstructing their sales methodologies and marketing strategies to gain a competitive edge. Therefore, the AI for sales and marketing market encompasses the development and application of AI technologies that optimize various processes. These include customer segmentation, lead scoring, predictive analytics, personalized content generation, chatbots, sentiment analysis, and real-time customer engagement. The key drivers propelling this market are the advancements in explainable AI (XAI) models, which provide sales teams with clearer insights into decision-making processes. This transparency boosts trust in AI-driven recommendations and enhances customer relationships. The market scenario is further characterized by open-source AI frameworks like TensorFlow and PyTorch, enabling businesses to develop AI models independently, thereby reducing vendor dependency.
In recent years, competition in the AI for sales and marketing sector has intensified, driven by a mix of tech giants, SaaS companies, and innovative startups. Notable industry leaders include behemoths like IBM, Microsoft, Google, Salesforce, and Adobe, which continually improve their marketing and sales automation features. Startups, meanwhile, bring niche AI innovations to the table, focusing on specialized areas like hyper-personalized customer engagement and AI-generated content. The market trends reflect a shift towards performance-based AI, with vendors now aligning their revenue models with sales outcomes, thus ensuring a symbiotic relationship with their clients. As AI technology advances, the emphasis on reducing upfront costs and enhancing revenue-sharing models grows, presenting significant opportunities for vendors and consumers. In this thriving environment, continuous innovation and adaptability in AI solutions are vital for maintaining a strong market presence.
Startups in the Market
AiChat: Specializing in AI-driven customer service solutions, AiChat utilizes generative AI for seamless omnichannel support across logistics, retail, and hospitality sectors. Their solutions, such as the UPS Global Logistics chatbot, automate tasks like shipment tracking and personalized shopping recommendations.
People.ai: This AI-focused startup is making strides in enhancing sales performance through AI-driven insights that streamline sales processes and strategies, catering specifically to enterprise clients.
Copy.ai: Known for AI-powered content creation, Copy.ai offers businesses tools for generating high-quality, personalized content and aiding marketing efforts with efficient, scalable solutions.
Moveworks: By utilizing AI to streamline workplace operations, Moveworks provides automated support solutions that enhance productivity and employee engagement.
Synthetic: As a trailblazer in AI-generated video content, Synthetic offers solutions that enable personalized video marketing at a scalable level, remaining responsive to market needs.
Jasper: Focused on AI-driven writing assistants, Jasper aids industries in producing tailored content that enhances engagement and clarity in communication.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 MARKET OVERVIEW AND INDUSTRY TRENDS
2.1 Introduction
2.2 Market Dynamics
2.2.1 Drivers
2.2.1.1 Development of explainable AI models allows sales teams to
understand and articulate need for specific
recommendations
2.2.1.2 Emergence of privacy-preserving machine learning techniques
enabled marketers to extract insights from customer data
while maintaining compliance
2.2.1.3 Evolution of real-time processing capabilities allowed AI
systems to analyze and respond to customer interactions
instantly
2.2.2 Restraints
2.2.2.1 AI struggles to interpret complex human emotions and
nuanced buyer intent despite advances in sentiment analysis
2.2.2.2 AI-generated sales outreach often lacks authenticity needed
for high-conversion engagement
2.2.2.3 Shortage of marketing professionals who understand AI
capabilities and marketing principles to create knowledge
gap
2.2.3 Opportunities
2.2.3.1 Convergence of augmented reality and AI to create
opportunities for immersive product demonstrations adapting
to individual customer preferences
2.2.3.2 Multimodal AI models open new possibilities for creating
dynamic video content that adapts in real time to viewer
engagement metrics
2.2.3.3 Integration of quantum computing with AI marketing systems
to enable real-time optimization of complex, multi-channel
campaigns
2.2.4 Challenges
2.2.4.1 Rise of synthetic data and AI-generated personas to affect
distinction between genuine customer behavior and
artificial interactions
2.2.4.2 AI struggles to generate truly personalized marketing
content that resonates with diverse audiences
2.2.4.3 AI-driven lead scoring systems often misinterpret buyer
intent, leading to inaccurate prioritization
2.3 Evolution of AI for Sales & Marketing
2.4 Supply Chain Analysis
2.5 Ecosystem Analysis
2.5.1 AI Sales Software Type
2.5.1.1 Email generators
2.5.1.2 Chatbots & assistants
2.5.1.3 Sales agents
2.5.1.4 Sales forecasting
2.5.1.5 Lead scoring
2.5.1.6 Sales intelligence
2.5.1.7 Customer relationship management (CRM)
2.5.1.8 Sales coach
2.5.1.9 Revenue intelligence
2.5.1.10 Personalized outreach
2.5.1.11 Pipeline management
2.5.2 AI Marketing Software Type
2.5.2.1 Campaign management
2.5.2.2 SEO optimization
2.5.2.3 Advertising
2.5.2.4 Digital marketing
2.5.2.5 Content creation
2.5.2.6 Social media management
2.5.2.7 Marketing agents
2.5.2.8 Customer data platform (CDP)
2.5.2.9 Conversational marketing
2.5.2.10 Email marketing
2.5.2.11 Influencer marketing
2.6 Investment Landscape and Funding Scenario
2.7 Impact of Generative AI on Sales & Marketing Market
2.7.1 Personalized Content Generation
2.7.2 Chatbots and Virtual Assistants
2.7.3 Ad and Creative Design Generation
2.7.4 Sales Coaching and Enablement
2.7.5 Market Research and Trend Analysis
2.7.6 Lead Scoring and Prospecting
2.8 Case Study Analysis
2.8.1 Conceptsales Reduced Video Production Costs By 66% with
Synthesia’s AI-Powered Solution
2.8.2 Deltic Group Transformed Customer Interactions and Boosted
Revenue with Ibm Watsonx Assistant
2.8.3 Ulrich Boosted Lead Conversion and Customer Engagement with
Drift’s Bionic Chatbots
2.8.4 Leica Geosystems Increased Lead Conversions By 300% with
Conversica’s AI Assistant
2.8.5 Gecko Hospitality Automated 90% of Customer Service with Tidio’s
AI-Powered Chatbots
2.9 Technology Analysis
2.9.1 Key Technologies
2.9.1.1 Conversational AI
2.9.1.2 Robotic process automation (RPA)
2.9.1.3 Autonomous AI and autonomous agents
2.9.1.4 AutoML
2.9.1.5 Computer vision
2.9.1.6 Decision intelligence
2.9.2 Complementary Technologies
2.9.2.1 Internet of Things (IoT)
2.9.2.2 Casual AI
2.9.2.3 Big data
2.9.2.4 AR/VR
2.9.3 Adjacent Technologies
2.9.3.1 Blockchain
2.9.3.2 Edge computing
2.9.3.3 Cybersecurity
2.10 Regulatory Landscape
2.10.1 Regulatory Bodies, Government Agencies, and Other Organizations
2.10.2 Regulations, By Region
2.10.2.1 North America
2.10.2.1.1 SCR 17: Artificial Intelligence Bill (California)
2.10.2.1.2 SB 1103: Artificial Intelligence Automated Decision
Bill (Connecticut)
2.10.2.1.3 National Artificial Intelligence Initiative Act
(NAIIA)
2.10.2.1.4 Artificial Intelligence and Data Act (AIDA) - Canada
2.10.2.2 Europe
2.10.2.2.1 European Union (EU) - Artificial Intelligence Act
(AIA)
2.10.2.2.2 General Data Protection Regulation (Europe)
2.10.2.3 Asia Pacific
2.10.2.3.1 Interim Administrative MEAsures for Generative
Artificial Intelligence Services (China)
2.10.2.3.2 National AI Strategy (Singapore)
2.10.2.3.3 Hiroshima AI Process Comprehensive Policy Framework
(Japan)
2.10.2.4 Middle East & Africa
2.10.2.4.1 National Strategy for Artificial Intelligence (UAE)
2.10.2.4.2 National Artificial Intelligence Strategy (Qatar)
2.10.2.4.3 AI Ethics Principles and Guidelines (Dubai, UAE)
2.10.2.5 Latin America
2.10.2.5.1 Santiago Declaration (Chile)
2.10.2.5.2 Brazilian Artificial Intelligence Strategy (EBIA)
2.11 Patent Analysis
2.11.1 Methodology
2.11.2 Patents Filed, By Document Type
2.11.3 Innovation and Patent Applications
2.12 Pricing Analysis
2.12.1 Average Selling Price of Offering
2.12.2 Average Selling Price of Application
2.13 Key Conferences and Events
2.14 Porter’s Five Forces Analysis
2.14.1 Threat of New Entrants
2.14.2 Threat of Substitutes
2.14.3 Bargaining Power of Suppliers
2.14.4 Bargaining Power of Buyers
2.14.5 Intensity of Competition Rivalry
2.15 Trends/Disruptions Impacting Customers’ Businesses
2.15.1 Trends/Disruptions Impacting Customers’ Businesses
2.16 Key Stakeholders & Buying Criteria
2.16.1 Key Stakeholders in Buying Process
2.16.2 Buying Criteria
3 COMPETITIVE LANDSCAPE
3.1 Overview
3.2 Key Player Strategies/Right to Win, 2022–2025
3.3 Revenue Analysis, 2020–2024
3.4 Market Share Analysis,2024
3.5 Product Comparative Analysis
3.5.1 Product Comparative Analysis, By Prominent/ Leading Vendor
3.5.1.1 Salesforce Einstein AI and Pardot (Salesforce)
3.5.1.2 Google Cloud AI and Google Ads (Google)
3.5.1.3 Adobe Sensei and Marketo (Adobe)
3.5.1.4 Microsoft Dynamics 365 and Microsoft AI (Microsoft)
3.5.1.5 Oracle Eloqua and Oracle AI for Customer Experience (IBM)
3.5.2 Product Comparative Analysis, By Prominent Startup/SME Vendor
3.5.2.1 Outreach Platform (Outreach)
3.5.2.2 Cognism Prospector (Cognism)
3.5.2.3 People.ai Platform (People.ai)
3.5.2.4 Salesloft Platform (Salesloft)
3.5.2.5 Clari Revenue Platform (Clari)
3.6 Company Valuation and Financial Metrics
3.7 Company Evaluation Matrix: Key Players,2024
3.7.1 Stars
3.7.2 Emerging Leaders
3.7.3 Pervasive Players
3.7.4 Participants
3.7.5 Company Footprint: Key Players,2024
3.7.5.1 Company footprint
3.7.5.2 Technology footprint
3.7.5.3 Application footprint
3.7.5.4 Application footprint
3.7.5.5 End User footprint
3.7.5.6 Regional footprint
3.8 Company Evaluation Matrix: Startups/SMEs,2024
3.8.1 Progressive Companies
3.8.2 Responsive Companies
3.8.3 Dynamic Companies
3.8.4 Starting Blocks
3.8.5 Competitive Benchmarking: Startups/SMEs,2024
3.8.5.1 Detailed list of key startups/SMEs
3.8.5.2 Competitive benchmarking of key startups/SMEs (application)
3.8.5.3 Competitive benchmarking of key startups/SMEs (end User and
region)
3.9 Competitive Scenario and Trends
3.9.1 Product Launches and Enhancements
3.9.2 Deals
4 COMPANY PROFILES
4.1 AICHAT
4.1.1 Business overview
4.1.2 Products/Solutions/Services offered
4.1.3 Recent developments
4.2 PEOPLE.AI
4.2.1 Business overview
4.2.2 Products/Solutions/Services offered
4.2.3 Recent developments
4.3 COPY.AI
4.3.1 Business overview
4.3.2 Products/Solutions/Services offered
4.3.3 Recent developments
4.4 MOVEWORKS
4.4.1 Business overview
4.4.2 Products/Solutions/Services offered
4.4.3 Recent developments
4.5 OUTREACH
4.5.1 Business overview
4.5.2 Products/Solutions/Services offered
4.5.3 Recent developments
4.6 H20.AI
4.6.1 Business overview
4.6.2 Products/Solutions/Services offered
4.6.3 Recent developments
4.7 SYNTHESIA
4.7.1 Business overview
4.7.2 Products/Solutions/Services offered
4.7.3 Recent developments
4.8 JASPER
4.8.1 Business overview
4.8.2 Products/Solutions/Services offered
4.8.3 Recent developments
4.9 WRITESONIC
4.9.1 Business overview
4.9.2 Products/Solutions/Services offered
4.9.3 Recent developments
4.10 SALESLOFT
4.10.1 Business overview
4.10.2 Products/Solutions/Services offered
4.10.3 Recent developments
4.11 ZAPIER
4.11.1 Business overview
4.11.2 Products/Solutions/Services offered
4.11.3 Recent developments
4.12 HEYGEN
4.12.1 Business overview
4.12.2 Products/Solutions/Services offered
4.12.3 Recent developments
4.13 CONVERSICA
4.13.1 Business overview
4.13.2 Products/Solutions/Services offered
4.13.3 Recent developments
4.14 RELEVANCE AI
4.14.1 Business overview
4.14.2 Products/Solutions/Services offered
4.14.3 Recent developments
4.15 VELOXY
4.15.1 Business overview
4.15.2 Products/Solutions/Services offered
4.15.3 Recent developments
4.16 COGNISM
4.16.1 Business overview
4.16.2 Products/Solutions/Services offered
4.16.3 Recent developments
4.17 LAVENDER
4.17.1 Business overview
4.17.2 Products/Solutions/Services offered
4.17.3 Recent developments
4.18 CLARI
4.18.1 Business overview
4.18.2 Products/Solutions/Services offered
4.18.3 Recent developments
4.19 TIDIO
4.19.1 Business overview
4.19.2 Products/Solutions/Services offered
4.19.3 Recent developments
4.20 WRITER
4.20.1 Business overview
4.20.2 Products/Solutions/Services offered
4.20.3 Recent developments
4.21 SEAMLESS.AI
4.21.1 Business overview
4.21.2 Products/Solutions/Services offered
4.21.3 Recent developments
4.22 CREATIO
4.22.1 Business overview
4.22.2 Products/Solutions/Services offered
4.22.3 Recent developments
4.23 LATELY.AI
4.23.1 Business overview
4.23.2 Products/Solutions/Services offered
4.23.3 Recent developments
4.24 REGIE.AI
4.24.1 Business overview
4.24.2 Products/Solutions/Services offered
4.24.3 Recent developments