AI For Sales And Marketing Company Evaluation Report 2025 Salesforce, Google, And Adobe Lead With Advanced Personalization, Predictive Analytics, And Marketing Automation

(MENAFN- GlobeNewsWire - Nasdaq) The AI for Sales and Marketing Companies Quadrant delivers an in-depth analysis of the global AI market in sales and marketing, highlighting innovations and industry trends. The 360 Quadrants reviewed over 140 companies, naming the top 21 as leaders. AI's role in sales and marketing is expanding rapidly, with sectors like retail, e-commerce, and finance integrating AI-driven strategies such as predictive analytics, chatbots, and automation tools. The report emphasizes the importance of ethical AI practices and collaboration with human teams to enhance sales performance. Leading players include Salesforce, Google, and Adobe, noted for their advanced AI solutions in CRM and marketing.

Dublin, Aug. 05, 2025 (GLOBE NEWSWIRE) -- The "AI for Sales and Marketing - Company Evaluation Report, 2025" report has been added to ResearchAndMarkets.com's offering.
The AI for Sales and Marketing Companies Quadrant is a comprehensive industry analysis that provides valuable insights into the global market for AI for Sales and Marketing. This quadrant offers a detailed evaluation of key market players, technological advancements, product innovations, and industry trends. The publisher's 360 Quadrants evaluated over 140 companies, of which the Top 21 AI for Sales and Marketing Companies were categorized and recognized as the quadrant leaders.
AI adoption in sales and marketing is rapidly gaining momentum across industries, driven by the growing demand for data-driven strategies, automation, and improved customer experiences. Leading sectors such as retail, e-commerce, finance, and technology are at the forefront, utilizing tools like predictive analytics, chatbots, and AI-powered personalization to refine customer engagement and boost performance. In the B2B space, the use of AI-enabled CRM systems, lead scoring, and account-based marketing is becoming increasingly common.
The emergence of generative AI for content creation, advanced customer journey mapping, and real-time behavioral analytics. Industries such as healthcare, manufacturing, and real estate are progressively implementing AI solutions for sales forecasting and customer relationship management. AI adoption is expected to grow further, with a strong focus on automation, personalization, and operational efficiency. At the same time, there is an increasing emphasis on ethical AI practices, data privacy, and fostering effective collaboration between AI systems and human teams to maximize the impact of sales and marketing efforts.
The 360 Quadrant maps the AI for Sales and Marketing companies based on criteria such as revenue, geographic presence, growth strategies, investments, and sales strategies for the market presence of the AI for Sales and Marketing quadrant.
Key Players:
Salesforce
Salesforce is a leader in AI-driven customer relationship management. It leverages its Einstein AI to integrate predictive analytics and automation into its CRM solutions, enhancing engagement and customer insights. With a strategic focus on AI-driven CRM and customer engagement, Salesforce competes with Microsoft and Oracle in the CRM space while facing competition from Adobe and Google in marketing AI.
Google
Google excels in optimizing marketing strategies through its powerful AI-driven advertising and customer analytics platforms. Its tools, including Google Cloud AI, facilitate personalized marketing campaigns and enhanced audience targeting. Though a powerhouse in digital advertising, Google faces competition from Microsoft in productivity applications and Salesforce in CRM solutions.
Adobe
Adobe leads in AI-powered marketing automation, focusing on personalization and creative intelligence through its Sensei AI. By integrating AI across marketing workflows, Adobe stands out in the digital experience and creative solutions sector. Adobe's competitive edge is characterized by robust AI solutions that drive personalized customer experiences, challenging Salesforce and Microsoft.
Key Topics Covered:
1 Introduction
1.1 Market Definition
1.2 Inclusions and Exclusions
1.3 Stakeholders
2 Executive Summary
3 Market Overview and Industry Trends
3.1 Introduction
3.2 Market Dynamics
3.2.1 Drivers
3.2.1.1 Development of Explainable Ai Models Allows Sales Teams to Understand and Articulate Need for Specific Recommendations
3.2.1.2 Emergence of Privacy-Preserving Machine Learning Techniques Enabled Marketers to Extract Insights from Customer Data while Maintaining Compliance
3.2.1.3 Evolution of Real-Time Processing Capabilities Allowed Ai Systems to Analyze and Respond to Customer Interactions Instantly
3.2.2 Restraints
3.2.2.1 Ai Struggles to Interpret Complex Human Emotions and Nuanced Buyer Intent Despite Advances in Sentiment Analysis
3.2.2.2 Ai-Generated Sales Outreach Often Lacks Authenticity Needed for High-Conversion Engagement
3.2.2.3 Shortage of Marketing Professionals Who Understand Ai Capabilities and Marketing Principles to Create Knowledge Gap
3.2.3 Opportunities
3.2.3.1 Convergence of Augmented Reality and Ai to Create Opportunities for Immersive Product Demonstrations Adapting to Individual Customer Preferences
3.2.3.2 Multimodal Ai Models Open New Possibilities for Creating Dynamic Video Content That Adapts in Real Time to Viewer Engagement Metrics
3.2.3.3 Integration of Quantum Computing with Ai Marketing Systems to Enable Real-Time Optimization of Complex, Multi-Channel Campaigns
3.2.4 Challenges
3.2.4.1 Rise of Synthetic Data and Ai-Generated Personas to Affect Distinction Between Genuine Customer Behavior and Artificial Interactions
3.2.4.2 Ai Struggles to Generate Truly Personalized Marketing Content That Resonates with Diverse Audiences
3.2.4.3 Ai-Driven Lead Scoring Systems Often Misinterpret Buyer Intent, Leading to Inaccurate Prioritization
3.3 Evolution of Ai for Sales & Marketing
3.4 Supply Chain Analysis
3.5 Ecosystem Analysis
3.5.1 Ai Sales Software Type
3.5.1.1 Email Generators
3.5.1.2 Chatbots & Assistants
3.5.1.3 Sales Agents
3.5.1.4 Sales Forecasting
3.5.1.5 Lead Scoring
3.5.1.6 Sales Intelligence
3.5.1.7 Customer Relationship Management (Crm)
3.5.1.8 Sales Coach
3.5.1.9 Revenue Intelligence
3.5.1.10 Personalized Outreach
3.5.1.11 Pipeline Management
3.5.2 Ai Marketing Software Type
3.5.2.1 Campaign Management
3.5.2.2 Seo Optimization
3.5.2.3 Advertising
3.5.2.4 Digital Marketing
3.5.2.5 Content Creation
3.5.2.6 Social Media Management
3.5.2.7 Marketing Agents
3.5.2.8 Customer Data Platform (Cdp)
3.5.2.9 Conversational Marketing
3.5.2.10 Email Marketing
3.5.2.11 Influencer Marketing
3.6 Impact of Generative Ai on Sales & Marketing Market
3.6.1 Personalized Content Generation
3.6.2 Chatbots and Virtual Assistants
3.6.3 Ad and Creative Design Generation
3.6.4 Sales Coaching and Enablement
3.6.5 Market Research and Trend Analysis
3.6.6 Lead Scoring and Prospecting
3.7 Technology Analysis
3.7.1 Key Technologies
3.7.1.1 Conversational Ai
3.7.1.2 Robotic Process Automation (Rpa)
3.7.1.3 Autonomous Ai and Autonomous Agents
3.7.1.4 Automl
3.7.1.5 Computer Vision
3.7.1.6 Decision Intelligence
3.7.2 Complementary Technologies
3.7.2.1 Internet of Things (Iot)
3.7.2.2 Casual Ai
3.7.2.3 Big Data
3.7.2.4 Ar/Vr
3.7.3 Adjacent Technologies
3.7.3.1 Blockchain
3.7.3.2 Edge Computing
3.7.3.3 Cybersecurity
3.8 Patent Analysis
3.8.1 Methodology
3.8.2 Patents Filed, by Document Type
3.8.3 Innovation and Patent Applications
3.9 Key Conferences and Events
3.10 Porter's Five Forces Analysis
3.10.1 Threat of New Entrants
3.10.2 Threat of Substitutes
3.10.3 Bargaining Power of Suppliers
3.10.4 Bargaining Power of Buyers
3.10.5 Intensity of Competition Rivalry
3.11 Trends/Disruptions Impacting Customers' Businesses
3.11.1 Trends/Disruptions Impacting Customers' Businesses
4 Competitive Landscape
4.1 Overview
4.2 Key Player Strategies/Right to Win, 2022-2025
4.3 Revenue Analysis, 2020-2024
4.4 Market Share Analysis, 2024
4.5 Product Comparative Analysis
4.5.1 Product Comparative Analysis, by Prominent/ Leading Vendor
4.5.1.1 Salesforce Einstein Ai and Pardot (Salesforce)
4.5.1.2 Google Cloud Ai and Google Ads (Google)
4.5.1.3 Adobe Sensei and Marketo (Adobe)
4.5.1.4 Microsoft Dynamics 365 and Microsoft Ai (Microsoft)
4.5.1.5 Oracle Eloqua and Oracle Ai for Customer Experience (Ibm)
4.5.2 Product Comparative Analysis, by Prominent Startup/Sme Vendor
4.5.2.1 Outreach Platform (Outreach)
4.5.2.2 Cognism Prospector (Cognism)
4.5.2.3 People.Ai Platform Salesloft Platform (Salesloft)
4.5.2.5 Clari Revenue Platform (Clari)
4.6 Company Valuation and Financial Metrics
4.7 Company Evaluation Matrix: Key Players, 2024
4.7.1 Stars
4.7.2 Emerging Leaders
4.7.3 Pervasive Players
4.7.4 Participants
4.7.5 Company Footprint: Key Players, 2024
4.7.5.1 Company Footprint
4.7.5.2 Technology Footprint
4.7.5.3 Application Footprint
4.7.5.4 Application Footprint
4.7.5.5 End-user Footprint
4.7.5.6 Regional Footprint
4.8 Company Evaluation Matrix: Startups/Smes, 2024
4.8.1 Progressive Companies
4.8.2 Responsive Companies
4.8.3 Dynamic Companies
4.8.4 Starting Blocks
4.8.5 Competitive Benchmarking: Startups/Smes, 2024
4.8.5.1 Detailed List of Key Startups/Smes
4.8.5.2 Competitive Benchmarking of Key Startups/Smes (Application)
4.8.5.3 Competitive Benchmarking of Key Startups/Smes
(End-user and Region)
4.9 Competitive Scenario and Trends
4.9.1 Product Launches and Enhancements
4.9.2 Deals
5 Company Profiles

• IBM
• Nvidia
• Google
• Microsoft
• Aws
• Salesforce
• Oracle
• Adobe
• Sap
• Sprout Social
• Openai
• Hootsuite
• Zoho
• Dialpad
• Gong.Io
• Brand24
• Hubspot
• 6Sense
• Palantir Technologies
• Khoros
• Sprinklr
• Aichat
• People.Ai
• Copy.Ai
• Moveworks
• Outreach
• H20.Ai
• Synthesia
• Jasper
• Writesonic
• Salesloft
• Zapier
• Heygen
• Conversica
• Relevance Ai
• Veloxy
• Cognism
• Lavender
• Clari
• Tidio
• Writer
• Seamless.Ai
• Creatio
• Lately.Ai
• Regie.Ai

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