June 15, 2024
ICT

Artificial Intelligence in Marketing Market Size To Rake USD 145.42 Bn By 2032

The artificial intelligence in marketing market size is poised to grow by USD 145.42 billion by 2032 from USD 14.79  billion in 2022, exhibiting a CAGR of 25.68% during the forecast period 2023-2032. 

Artificial Intelligence in Marketing Market Size 2023 To 2032

Key Takeaways:

  • North America is expected to dominate the market during the forecast period.
  • By Deployment Mode, the cloud segment is expected to grow at the highest CAGR over the forecast period.
  • By Technology, the machine learning segment is expected to dominate the market over the forecast period.
  • By Application, the content curation segment is expected to dominate the market over the forecast period.
  • By End-user, the media & entertainment segment is expected to dominate the market over the forecast period.

Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Artificial intelligence in marketing market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.

To begin with, the Artificial intelligence in marketing Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.

Get a Sample Reporthttps://www.precedenceresearch.com/sample/3164

Artificial Intelligence in Marketing Market Report Scope 

Report Coverage Details
Market Size in 2023 USD 18.59 Billion
Market Size by 2032 USD 145.42 Billion
Growth Rate from 2023 to 2032 CAGR of 25.68%
Largest Market North America
Base Year 2022
Forecast Period 2023 to 2032
Segments Covered By Offering, By Deployment Mode, By Technology, By Application, and By End User
Regions Covered North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa

Read More: Hyperautomation Market Size To Rake USD 197.58 Bn By 2032

The empirical study on the global Artificial intelligence in marketing market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Artificial intelligence in marketing Market. Our market report for the Artificial intelligence in marketing market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.

Top Key Players:

  • NVIDIA Corporation
  • Salesforce, Inc.
  • Google LLC
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Amazon.com, Inc.
  • Oracle Corporation
  • Baidu, Inc.
  • Twitter, Inc.

Data Sources and Methodology

To gather comprehensive insights on the Global Artificial intelligence in marketing Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.

We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Artificial intelligence in marketing Market.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Artificial intelligence in marketing market report exclusively from precedence research

  • The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.

Key Features of the Report:

  • Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
  • Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
  • Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.

Artificial Intelligence in Marketing Market Segmentation:

By Offering

  • Hardware
  • Software
  • Services

By Deployment Mode

  • On-premise
  • Cloud

By Technology

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

By Application

  • Social Media Advertising
  • Search Advertising
  • Content Curation
  • Sales & Marketing Automation
  • Analytics Platform
  • Others

By End User

  • BFSI
  • Retail
  • Consumer Goods
  • Media & Entertainment
  • Enterprise
  • Others

By Geography

  • North America
  • Europe
  • Asia-Pacific
  • Latin America
  • Middle East and Africa

Reasons to Consider Purchasing the Report:

  • Enhance your market research capabilities by accessing this comprehensive and precise report on the global Artificial intelligence in marketing market.
  • Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
  • Benefit from in-depth research and analysis of the latest trends shaping the global Artificial intelligence in marketing market.
  • Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Artificial intelligence in marketing market.
  • Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
  • Discover not only the cutting-edge technological advancements in the global Artificial intelligence in marketing market but also the strategic plans of industry leaders.

Table of Content

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence in Marketing Market 

5.1. COVID-19 Landscape: Artificial Intelligence in Marketing Industry Impact

5.2. COVID 19 – Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence in Marketing Market, By Offering

8.1. Artificial Intelligence in Marketing Market, by Offering, 2023-2032

8.1.1. Hardware

8.1.1.1. Market Revenue and Forecast (2020-2032)

8.1.2. Software

8.1.2.1. Market Revenue and Forecast (2020-2032)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2020-2032)

Chapter 9. Global Artificial Intelligence in Marketing Market, By Deployment Mode

9.1. Artificial Intelligence in Marketing Market, by Deployment Mode, 2023-2032

9.1.1. On-premise

9.1.1.1. Market Revenue and Forecast (2020-2032)

9.1.2. Cloud

9.1.2.1. Market Revenue and Forecast (2020-2032)

Chapter 10. Global Artificial Intelligence in Marketing Market, By Technology 

10.1. Artificial Intelligence in Marketing Market, by Technology, 2023-2032

10.1.1. Machine Learning

10.1.1.1. Market Revenue and Forecast (2020-2032)

10.1.2. Natural Language Processing

10.1.2.1. Market Revenue and Forecast (2020-2032)

10.1.3. Computer Vision

10.1.3.1. Market Revenue and Forecast (2020-2032)

10.1.4. Context-Aware Computing

10.1.4.1. Market Revenue and Forecast (2020-2032)

Chapter 11. Global Artificial Intelligence in Marketing Market, By Application

11.1. Artificial Intelligence in Marketing Market, by Application, 2023-2032

11.1.1. Social Media Advertising

11.1.1.1. Market Revenue and Forecast (2020-2032)

11.1.2. Search Advertising

11.1.2.1. Market Revenue and Forecast (2020-2032)

11.1.3. Content Curation

11.1.3.1. Market Revenue and Forecast (2020-2032)

11.1.4. Sales & Marketing Automation

11.1.4.1. Market Revenue and Forecast (2020-2032)

11.1.5. Analytics Platform

11.1.5.1. Market Revenue and Forecast (2020-2032)

11.1.6. Others

11.1.6.1. Market Revenue and Forecast (2020-2032)

Chapter 12. Global Artificial Intelligence in Marketing Market, By End User

12.1. Artificial Intelligence in Marketing Market, by End User, 2023-2032

12.1.1. BFSI

12.1.1.1. Market Revenue and Forecast (2020-2032)

12.1.2. Retail

12.1.2.1. Market Revenue and Forecast (2020-2032)

12.1.3. Consumer Goods

12.1.3.1. Market Revenue and Forecast (2020-2032)

12.1.4. Media & Entertainment

12.1.4.1. Market Revenue and Forecast (2020-2032)

12.1.5. Enterprise

12.1.5.1. Market Revenue and Forecast (2020-2032)

12.1.6. Others

12.1.6.1. Market Revenue and Forecast (2020-2032)

Chapter 13. Global Artificial Intelligence in Marketing Market, Regional Estimates and Trend Forecast

13.1. North America

13.1.1. Market Revenue and Forecast, by Offering (2020-2032)

13.1.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.1.3. Market Revenue and Forecast, by Technology (2020-2032)

13.1.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.5. Market Revenue and Forecast, by End User (2020-2032)

13.1.6. U.S.

13.1.6.1. Market Revenue and Forecast, by Offering (2020-2032)

13.1.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.1.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.1.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.6.5. Market Revenue and Forecast, by End User (2020-2032)

13.1.7. Rest of North America

13.1.7.1. Market Revenue and Forecast, by Offering (2020-2032)

13.1.7.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.1.7.3. Market Revenue and Forecast, by Technology (2020-2032)

13.1.7.4. Market Revenue and Forecast, by Application (2020-2032)

13.1.7.5. Market Revenue and Forecast, by End User (2020-2032)

13.2. Europe

13.2.1. Market Revenue and Forecast, by Offering (2020-2032)

13.2.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.4. Market Revenue and Forecast, by Application (2020-2032)

13.2.5. Market Revenue and Forecast, by End User (2020-2032)

13.2.6. UK

13.2.6.1. Market Revenue and Forecast, by Offering (2020-2032)

13.2.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.7. Market Revenue and Forecast, by Application (2020-2032)

13.2.8. Market Revenue and Forecast, by End User (2020-2032)

13.2.9. Germany

13.2.9.1. Market Revenue and Forecast, by Offering (2020-2032)

13.2.9.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.9.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.10. Market Revenue and Forecast, by Application (2020-2032)

13.2.11. Market Revenue and Forecast, by End User (2020-2032)

13.2.12. France

13.2.12.1. Market Revenue and Forecast, by Offering (2020-2032)

13.2.12.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.12.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.12.4. Market Revenue and Forecast, by Application (2020-2032)

13.2.13. Market Revenue and Forecast, by End User (2020-2032)

13.2.14. Rest of Europe

13.2.14.1. Market Revenue and Forecast, by Offering (2020-2032)

13.2.14.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.2.14.3. Market Revenue and Forecast, by Technology (2020-2032)

13.2.14.4. Market Revenue and Forecast, by Application (2020-2032)

13.2.15. Market Revenue and Forecast, by End User (2020-2032)

13.3. APAC

13.3.1. Market Revenue and Forecast, by Offering (2020-2032)

13.3.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.5. Market Revenue and Forecast, by End User (2020-2032)

13.3.6. India

13.3.6.1. Market Revenue and Forecast, by Offering (2020-2032)

13.3.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.7. Market Revenue and Forecast, by End User (2020-2032)

13.3.8. China

13.3.8.1. Market Revenue and Forecast, by Offering (2020-2032)

13.3.8.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.8.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.9. Market Revenue and Forecast, by End User (2020-2032)

13.3.10. Japan

13.3.10.1. Market Revenue and Forecast, by Offering (2020-2032)

13.3.10.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.10.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.10.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.10.5. Market Revenue and Forecast, by End User (2020-2032)

13.3.11. Rest of APAC

13.3.11.1. Market Revenue and Forecast, by Offering (2020-2032)

13.3.11.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.3.11.3. Market Revenue and Forecast, by Technology (2020-2032)

13.3.11.4. Market Revenue and Forecast, by Application (2020-2032)

13.3.11.5. Market Revenue and Forecast, by End User (2020-2032)

13.4. MEA

13.4.1. Market Revenue and Forecast, by Offering (2020-2032)

13.4.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.5. Market Revenue and Forecast, by End User (2020-2032)

13.4.6. GCC

13.4.6.1. Market Revenue and Forecast, by Offering (2020-2032)

13.4.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.7. Market Revenue and Forecast, by End User (2020-2032)

13.4.8. North Africa

13.4.8.1. Market Revenue and Forecast, by Offering (2020-2032)

13.4.8.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.8.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.9. Market Revenue and Forecast, by End User (2020-2032)

13.4.10. South Africa

13.4.10.1. Market Revenue and Forecast, by Offering (2020-2032)

13.4.10.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.10.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.10.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.10.5. Market Revenue and Forecast, by End User (2020-2032)

13.4.11. Rest of MEA

13.4.11.1. Market Revenue and Forecast, by Offering (2020-2032)

13.4.11.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.4.11.3. Market Revenue and Forecast, by Technology (2020-2032)

13.4.11.4. Market Revenue and Forecast, by Application (2020-2032)

13.4.11.5. Market Revenue and Forecast, by End User (2020-2032)

13.5. Latin America

13.5.1. Market Revenue and Forecast, by Offering (2020-2032)

13.5.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.5.3. Market Revenue and Forecast, by Technology (2020-2032)

13.5.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.5. Market Revenue and Forecast, by End User (2020-2032)

13.5.6. Brazil

13.5.6.1. Market Revenue and Forecast, by Offering (2020-2032)

13.5.6.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.5.6.3. Market Revenue and Forecast, by Technology (2020-2032)

13.5.6.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.7. Market Revenue and Forecast, by End User (2020-2032)

13.5.8. Rest of LATAM

13.5.8.1. Market Revenue and Forecast, by Offering (2020-2032)

13.5.8.2. Market Revenue and Forecast, by Deployment Mode (2020-2032)

13.5.8.3. Market Revenue and Forecast, by Technology (2020-2032)

13.5.8.4. Market Revenue and Forecast, by Application (2020-2032)

13.5.8.5. Market Revenue and Forecast, by End User (2020-2032)

Chapter 14. Company Profiles

14.1. NVIDIA Corporation

14.1.1. Company Overview

14.1.2. Product Offerings

14.1.3. Financial Performance

14.1.4. Recent Initiatives

14.2. Salesforce, Inc.

14.2.1. Company Overview

14.2.2. Product Offerings

14.2.3. Financial Performance

14.2.4. Recent Initiatives

14.3. Google LLC

14.3.1. Company Overview

14.3.2. Product Offerings

14.3.3. Financial Performance

14.3.4. Recent Initiatives

14.4. Intel Corporation

14.4.1. Company Overview

14.4.2. Product Offerings

14.4.3. Financial Performance

14.4.4. Recent Initiatives

14.5. International Business Machines Corporation

14.5.1. Company Overview

14.5.2. Product Offerings

14.5.3. Financial Performance

14.5.4. Recent Initiatives

14.6. Microsoft Corporation

14.6.1. Company Overview

14.6.2. Product Offerings

14.6.3. Financial Performance

14.6.4. Recent Initiatives

14.7. Amazon.com, Inc.

14.7.1. Company Overview

14.7.2. Product Offerings

14.7.3. Financial Performance

14.7.4. Recent Initiatives

14.8. Oracle Corporation

14.8.1. Company Overview

14.8.2. Product Offerings

14.8.3. Financial Performance

14.8.4. Recent Initiatives

14.9. Baidu, Inc.

14.9.1. Company Overview

14.9.2. Product Offerings

14.9.3. Financial Performance

14.9.4. Recent Initiatives

14.10. Twitter, Inc.

14.10.1. Company Overview

14.10.2. Product Offerings

14.10.3. Financial Performance

14.10.4. Recent Initiatives

Chapter 15. Research Methodology

15.1. Primary Research

15.2. Secondary Research

15.3. Assumptions

Chapter 16. Appendix

16.1. About Us

16.2. Glossary of Terms

About Us:

Our team comprises a dedicated group of research analysts and management consultants who are driven by a unified vision: assisting individuals and organizations in realizing their strategic objectives, both immediate and long-term, through the provision of comprehensive research services. At Precedence Research, we have positioned ourselves to cater to the needs of a diverse range of entities, including established companies, startups, and non-profit organizations across various sectors. Our expertise extends to industries such as packaging, automotive, healthcare, chemicals and materials, industrial automation, consumer products, electronics and semiconductors, IT and telecommunications, and energy. With a wealth of experience within our ranks, our skilled analysts are equipped with extensive knowledge of the research landscape.

 

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