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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755588

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PUBLISHER: Bizwit Research & Consulting LLP | PRODUCT CODE: 1755588

Global AI for Sales and Marketing Market Size Study & Forecast, by Offering, Deployment Mode, Technology, Application, End User and Regional Forecasts 2025-2035

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The Global AI for Sales and Marketing Market is valued at approximately USD 43.63 billion in 2024 and is poised to expand at a staggering CAGR of 32.90% over the forecast period 2025-2035. This dramatic surge reflects how businesses are increasingly leaning into artificial intelligence technologies to revolutionize the way they connect, engage, and convert their customers. As AI-powered tools continue to evolve, they are being seamlessly embedded into marketing ecosystems-augmenting decision-making, personalizing customer journeys, streamlining lead qualification, and optimizing campaigns with real-time insights. The soaring investment in digital transformation, coupled with the increasing demand for automation and predictive analytics in sales cycles, is rapidly propelling the AI for Sales and Marketing Market forward.

The exponential uptick in data generation, coupled with advancements in AI algorithms such as machine learning and natural language processing, is unlocking unprecedented capabilities in sales intelligence, customer profiling, and dynamic pricing strategies. Businesses today are no longer merely adopting AI-they are reshaping entire go-to-market strategies around it. For instance, AI-driven chatbots and virtual assistants are now commonplace in enhancing customer experience, while real-time sentiment analysis is transforming brand perception management. According to industry insights, AI-driven marketing is expected to drive up to 20% of company revenues by 2030. However, data privacy concerns and integration complexity remain persistent challenges that enterprises must strategically navigate to fully unlock AI's potential.

Regionally, North America commands the lion's share of the AI for Sales and Marketing Market in 2024, largely attributed to its early technological adoption, strong digital infrastructure, and presence of tech behemoths like Salesforce, Adobe, and Microsoft. The region's robust ecosystem for innovation and substantial investment in AI R&D continue to act as catalysts. Meanwhile, the Asia Pacific region is projected to be the fastest-growing market throughout the forecast period, driven by rapid digitization across sectors, an expanding middle class, and aggressive government-backed AI initiatives in countries like China, India, and South Korea. Europe, on the other hand, is steadily catching up, with increasing enterprise AI adoption in the retail, BFSI, and media sectors.

Major market player included in this report are:

  • Microsoft Corporation
  • Salesforce, Inc.
  • Adobe Inc.
  • Oracle Corporation
  • Google LLC
  • IBM Corporation
  • SAP SE
  • Amazon Web Services, Inc.
  • HubSpot, Inc.
  • Zoho Corporation Pvt. Ltd.
  • NVIDIA Corporation
  • H2O.ai, Inc.
  • Conversica, Inc.
  • InsideSales.com, Inc.
  • Drift.com, Inc.

Global AI for Sales and Marketing Market Report Scope:

  • Historical Data - 2023, 2024
  • Base Year for Estimation - 2024
  • Forecast period - 2025-2035
  • Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
  • Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
  • Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Offering:

  • Software
  • Hardware
  • Services

By Deployment Mode:

  • Cloud-Based
  • On-Premises

By Technology:

  • Machine Learning
  • Natural Language Processing (NLP)
  • Context-Aware Computing
  • Computer Vision

By Application:

  • Social Media Advertising
  • Search Advertising
  • Dynamic Pricing
  • Virtual Assistant
  • Content Curation
  • Sales and Marketing Automation
  • Analytics Platform
  • Others

By End User:

  • Banking, Financial Services, and Insurance (BFSI)
  • Retail
  • Consumer Goods
  • Media and Entertainment
  • Enterprise
  • Others

By Region:

  • North America
  • U.S.
  • Canada
  • Europe
  • UK
  • Germany
  • France
  • Spain
  • Italy
  • ROE
  • Asia Pacific
  • China
  • India
  • Japan
  • Australia
  • South Korea
  • RoAPAC
  • Latin America
  • Brazil
  • Mexico
  • Middle East & Africa
  • UAE
  • Saudi Arabia
  • South Africa
  • Rest of Middle East & Africa

Key Takeaways:

  • Market Estimates & Forecast for 10 years from 2025 to 2035.
  • Annualized revenues and regional level analysis for each market segment.
  • Detailed analysis of geographical landscape with Country level analysis of major regions.
  • Competitive landscape with information on major players in the market.
  • Analysis of key business strategies and recommendations on future market approach.
  • Analysis of competitive structure of the market.
  • Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global AI for Sales and Marketing Market Report Scope & Methodology

  • 1.1. Research Objective
  • 1.2. Research Methodology
    • 1.2.1. Forecast Model
    • 1.2.2. Desk Research
    • 1.2.3. Top-Down and Bottom-Up Approach
  • 1.3. Research Attributes
  • 1.4. Scope of the Study
    • 1.4.1. Market Definition
    • 1.4.2. Market Segmentation
  • 1.5. Research Assumption
    • 1.5.1. Inclusion & Exclusion
    • 1.5.2. Limitations
    • 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

  • 2.1. CEO/CXO Standpoint
  • 2.2. Strategic Insights
  • 2.3. ESG Analysis
  • 2.4. Key Findings

Chapter 3. Global AI for Sales and Marketing Market Forces Analysis

  • 3.1. Market Forces Shaping the Global AI for Sales and Marketing Market (2024-2035)
  • 3.2. Drivers
    • 3.2.1. Explosion of Customer Data and Analytics Demand
    • 3.2.2. Rising Need for Personalization and Customer Journey Optimization
    • 3.2.3. Automation of Sales Pipelines to Reduce CAC
  • 3.3. Restraints
    • 3.3.1. Data Privacy and Regulatory Compliance Challenges
    • 3.3.2. High Implementation & Integration Costs
    • 3.3.3. Talent Shortage and Skill Gaps in AI Expertise
  • 3.4. Opportunities
    • 3.4.1. Expansion of AI Adoption in Emerging Economies
    • 3.4.2. Integration with IoT and Edge Computing for Real-Time Insights
    • 3.4.3. Growth of AI-Enabled Conversational Marketing Solutions

Chapter 4. Global AI for Sales and Marketing Industry Analysis

  • 4.1. Porter's 5 Forces Model
    • 4.1.1. Bargaining Power of Buyers
    • 4.1.2. Bargaining Power of Suppliers
    • 4.1.3. Threat of New Entrants
    • 4.1.4. Threat of Substitutes
    • 4.1.5. Competitive Rivalry
  • 4.2. Porter's 5 Force Forecast Model (2024-2035)
  • 4.3. PESTEL Analysis
    • 4.3.1. Political
    • 4.3.2. Economic
    • 4.3.3. Social
    • 4.3.4. Technological
    • 4.3.5. Environmental
    • 4.3.6. Legal
  • 4.4. Top Investment Opportunities
  • 4.5. Top Winning Strategies (2025)
  • 4.6. Market Share Analysis (2024-2025)
  • 4.7. Global Pricing Analysis and Trends 2025
  • 4.8. Analyst Recommendations & Conclusion

Chapter 5. Global AI for Sales and Marketing Market Size & Forecasts by Offering 2025-2035

  • 5.1. Market Overview
  • 5.2. Software
    • 5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.2.2. Market Size Analysis, by Region, 2025-2035
  • 5.3. Hardware
    • 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.3.2. Market Size Analysis, by Region, 2025-2035
  • 5.4. Services
    • 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 5.4.2. Market Size Analysis, by Region, 2025-2035

Chapter 6. Global AI for Sales and Marketing Market Size & Forecasts by Deployment Mode 2025-2035

  • 6.1. Market Overview
  • 6.2. Cloud-Based
    • 6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.2.2. Market Size Analysis, by Region, 2025-2035
  • 6.3. On-Premises
    • 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
    • 6.3.2. Market Size Analysis, by Region, 2025-2035

Chapter 7. Global AI for Sales and Marketing Market Size & Forecasts by Technology, Application & End User 2025-2035

  • 7.1. Technology
    • 7.1.1. Machine Learning
    • 7.1.2. Natural Language Processing (NLP)
    • 7.1.3. Context-Aware Computing
    • 7.1.4. Computer Vision
  • 7.2. Application
    • 7.2.1. Social Media Advertising
    • 7.2.2. Search Advertising
    • 7.2.3. Dynamic Pricing
    • 7.2.4. Virtual Assistant
    • 7.2.5. Content Curation
    • 7.2.6. Sales and Marketing Automation
    • 7.2.7. Analytics Platform
    • 7.2.8. Others
  • 7.3. End User
    • 7.3.1. Banking, Financial Services & Insurance (BFSI)
    • 7.3.2. Retail
    • 7.3.3. Consumer Goods
    • 7.3.4. Media and Entertainment
    • 7.3.5. Enterprise
    • 7.3.6. Others

Chapter 8. Global AI for Sales and Marketing Market Size & Forecasts by Region 2025-2035

  • 8.1. Market Snapshot & Regional Overview
  • 8.2. Top Leading & Emerging Countries
  • 8.3. North America Market
    • 8.3.1. U.S. Market
      • 8.3.1.1. Offering Breakdown Size & Forecasts, 2025-2035
      • 8.3.1.2. Application Breakdown Size & Forecasts, 2025-2035
    • 8.3.2. Canada Market
      • 8.3.2.1. Offering Breakdown Size & Forecasts, 2025-2035
      • 8.3.2.2. Application Breakdown Size & Forecasts, 2025-2035
  • 8.4. Europe Market
    • 8.4.1. UK Market
      • 8.4.1.1. Offering Breakdown, 2025-2035
      • 8.4.1.2. Application Breakdown, 2025-2035
    • 8.4.2. Germany Market
      • 8.4.2.1. Offering Breakdown, 2025-2035
      • 8.4.2.2. Application Breakdown, 2025-2035
    • 8.4.3. France Market
    • 8.4.4. Spain Market
    • 8.4.5. Italy Market
    • 8.4.6. Rest of Europe Market
  • 8.5. Asia Pacific Market
    • 8.5.1. China Market
    • 8.5.2. India Market
    • 8.5.3. Japan Market
    • 8.5.4. Australia Market
    • 8.5.5. South Korea Market
    • 8.5.6. Rest of APAC Market
  • 8.6. Latin America Market
    • 8.6.1. Brazil Market
    • 8.6.2. Mexico Market
  • 8.7. Middle East & Africa Market
    • 8.7.1. UAE Market
    • 8.7.2. Saudi Arabia Market
    • 8.7.3. South Africa Market
    • 8.7.4. Rest of MEA Market

Chapter 9. Competitive Intelligence

  • 9.1. Top Market Strategies
  • 9.2. Microsoft Corporation
    • 9.2.1. Company Overview
    • 9.2.2. Key Executives
    • 9.2.3. Company Snapshot
    • 9.2.4. Financial Performance (Subject to Data Availability)
    • 9.2.5. Product/Services Portfolio
    • 9.2.6. Recent Development
    • 9.2.7. Market Strategies
    • 9.2.8. SWOT Analysis
  • 9.3. Salesforce, Inc.
  • 9.4. Adobe Inc.
  • 9.5. Oracle Corporation
  • 9.6. Google LLC
  • 9.7. IBM Corporation
  • 9.8. SAP SE
  • 9.9. Amazon Web Services, Inc.
  • 9.10. HubSpot, Inc.
  • 9.11. Zoho Corporation Pvt. Ltd.
  • 9.12. NVIDIA Corporation
  • 9.13. H2O.ai, Inc.
  • 9.14. Conversica, Inc.
  • 9.15. InsideSales.com, Inc.
  • 9.16. Drift.com, Inc.
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Jeroen Van Heghe

Manager - EMEA

+32-2-535-7543

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Christine Sirois

Manager - Americas

+1-860-674-8796

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