Comparing 24 vendors in AI for Sales and Marketing Startups across 0 criteria.

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Summary

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.
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 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

 
Company List

Company List +

Company Headquarters Year Founded Holding Type
AICHAT
CLARI
CONVERSICA
CREATIO (FORMERLY BPM ONLINE) Massachusetts, USA 2002
Cognism
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Research Methodology
Research Methodology
POWERED BY MARKETSANDMARKETS
Apr 19, 2025

360 Quadrants

360 Quadrants is a scientific research methodology by MarketsandMarkets to understand market leaders in 6000+ micro markets

360 Quadrants

360 Quadrants is a scientific research methodology by MarketsandMarkets to understand market leaders in 6000+ micro markets

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