by The global artificial intelligence in marketing market size was estimated to be around US$ 14.79 billion in 2022. It is projected to reach US$ 145.42 billion by 2032, indicating a CAGR of 25.68% from 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.
The market research report on the Artificial intelligence in marketing market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Artificial intelligence in marketing products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
Get a Sample: https://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: Deep Learning Market Size to Garner USD 978.88 Billion by 2032
The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Artificial intelligence in marketing market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Artificial intelligence in marketing market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Artificial intelligence in marketing products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Artificial intelligence in marketing market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Artificial intelligence in marketing market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Artificial intelligence in marketing market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
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.
Artificial Intelligence in Marketing Market Segmentations
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
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
Contact Us:
Mr. Alex
Sales Manager
Call: +1 9197 992 333
Email: sales@precedenceresearch.com
