According to a recent research report titled ” Artificial Intelligence in Marketing Market (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) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032″ published by Precedence Research, the global artificial intelligence in marketing market size is projected to touch around USD 145.42 billion by 2032 and growing at a CAGR of 25.68% over the forecast period 2023 to 2032. This comprehensive study examines various factors and their impact on the growth of the artificial intelligence in marketing market.
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 report primarily focuses on the volume and value of the artificial intelligence in marketing market at the global, regional, and company levels. At the global level, the report analyzes historical data and future prospects to present an overview of the overall market size. Regionally, the study emphasizes key regions such as North America, Europe, the Middle East & Africa, Latin America, and others.
Furthermore, the research report provides specific segmentations based on regions (countries), companies, and all market segments. This analysis offers insights into the growth and revenue trends during the historical period of 2017 to 2032, as well as the projected period. By understanding these segments, it becomes possible to identify the significance of different factors that contribute to market growth.
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The research also highlights significant progressions in both organic and inorganic growth strategies within the global artificial intelligence in marketing market. Numerous companies are placing emphasis on new product launches, gaining product approvals, and implementing various business expansion tactics. Moreover, the report presents detailed profiles of firms operating in the artificial intelligence in marketing market, along with their respective market strategies. Additionally, the study concentrates on prominent industry participants, furnishing details such as company profiles, product offerings, financial updates, and noteworthy advancements.
Report Scope of the Artificial Intelligence in Marketing Market:
| 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 |
Also read: Hyperautomation Market Size to Record US$ 197.58 Billion by 2032
Major Key Points Covered in Report:
Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.
Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.
Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.
Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.
Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.
Market Key Players
The report incorporates company profiles of key players in the market. These profiles encompass vital information such as product portfolio, key strategies, and a comprehensive SWOT analysis for each player. Additionally, the report presents a matrix illustrating the presence of each prominent player, enabling readers to gain actionable insights. This facilitates a thoughtful assessment of the market status and aids in predicting the level of competition in the artificial intelligence in marketing market.
Some of the prominent players in the artificial intelligence in marketing market include
- NVIDIA Corporation
- Salesforce, Inc.
- Google LLC
- Intel Corporation
- International Business Machines Corporation
- Microsoft Corporation
- Amazon.com, Inc.
- Oracle Corporation
- Baidu, Inc.
- Twitter, Inc.
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
Why should you invest in this report?
This report presents a compelling investment opportunity for those interested in the global artificial intelligence in marketing market. It serves as an extensive and informative guide, offering clear insights into this niche market. By delving into the report, you will gain a comprehensive understanding of the various major application areas for artificial intelligence in marketing. Furthermore, it provides crucial information about the key regions worldwide that are expected to experience substantial growth within the forecast period of 2023-2030. Armed with this knowledge, you can strategically plan your market entry approaches.
Moreover, this report offers a deep analysis of the competitive landscape, equipping you with valuable insights into the level of competition prevalent in this highly competitive market. If you are already an established player, it will enable you to assess the strategies employed by your competitors, allowing you to stay ahead as market leaders. For newcomers entering this market, the extensive data provided in this report is invaluable, providing a solid foundation for informed decision-making.
Some of the key questions answered in this report:
- What is the size of the overall Artificial intelligence in marketing market and its segments?
- What are the key segments and sub-segments in the market?
- What are the key drivers, restraints, opportunities and challenges of the Artificial intelligence in marketing market and how they are expected to impact the market?
- What are the attractive investment opportunities within the Artificial intelligence in marketing market?
- What is the Artificial intelligence in marketing market size at the regional and country-level?
- Who are the key market players and their key competitors?
- What are the strategies for growth adopted by the key players in Artificial intelligence in marketing market?
- What are the recent trends in Artificial intelligence in marketing market? (M&A, partnerships, new product developments, expansions)?
- What are the challenges to the Artificial intelligence in marketing market growth?
- What are the key market trends impacting the growth of Artificial intelligence in marketing market?
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
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