According to the research report, the global artificial intelligence in marketing market size is expected to touch USD 145.42 Billion by 2032, from USD 14.79 Billion in 2022, growing with a significant 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 artificial intelligence in marketing report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence in marketing in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global artificial intelligence in marketing market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence in marketing during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
Sample Link @ https://www.precedenceresearch.com/sample/3164
This study covers a detailed segmentation of the global artificial intelligence in marketing market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence in marketing market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
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.
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
Research Methodology
The research methodology adopted by analysts for compiling the global artificial intelligence in marketing report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global 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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