The North America Artificial Intelligence (AI) In Marketing Market should witness market growth of 26.0% CAGR during the forecast period (2023-2030).
Artificial intelligence (AI) technologies are increasingly being utilized to make automated judgments based on data analysis, data collection, and additional analyses of audience or economic trends that may influence marketing efforts. These automated judgments are based on the collection of data, the analysis of data, and subsequent studies of audience or economic trends that may have an impact on marketing activities. Artificial intelligence is widely used in digital marketing initiatives when speed is paramount.
A.I. marketing solutions examine data and consumer profiles to understand the most effective ways to interact with customers. This helps the solutions achieve the highest possible level of efficiency. They then send those individuals personalized communications at the proper time, independent of the assistance of marketing team personnel. Modern digital marketers frequently use artificial intelligence to assist marketing teams or carry out more tactical activities that don't require as much human delicacy as they would otherwise.
Canadians are accepting online purchasing despite the massive retail revolution. In 2022, approximately 27 million Canadians, or more than 75 percent of the country's population, utilized eCommerce. By 2025, this percentage is anticipated to have increased to 77.6%. According to Statistics Canada, Canadian eCommerce retail sales surpassed the increase in May 2020 (US$3.2 billion) due to the pandemic-related closures and hit a new high of $3.82 billion in December 2020. North America's expanding e-commerce sales and high internet penetration rate will fuel the need for efficient, consumer-centric, and cost-effective marketing methods for reaching the target audience, thereby propelling the market for AI in marketing in the region.
The US market dominated the North America Artificial Intelligence (AI) In Marketing Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $18,878.4 million by 2030. The Canada market is estimated to grow at a CAGR of 28.8% during (2023-2030). Additionally, The Mexico market should witness a CAGR of 27.7% during (2023-2030).
Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision and Others. Based on End-user, the market is segmented into Media & Entertainment, Consumer Goods & Retail, BFSI, IT & Telecommunications and Others. Based on Component, the market is segmented into Software and Services. Based on Application, the market is segmented into Content Curation, Social Media Advertising, Virtual Assistant, Search Engine Marketing, Sales & Marketing Automation, Analytics Platform and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon.com, Inc., Baidu, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc., NVIDIA Corporation, Google LLC (Alphabet Inc.), Intel Corporation and Twitter, Inc.
Artificial intelligence (AI) technologies are increasingly being utilized to make automated judgments based on data analysis, data collection, and additional analyses of audience or economic trends that may influence marketing efforts. These automated judgments are based on the collection of data, the analysis of data, and subsequent studies of audience or economic trends that may have an impact on marketing activities. Artificial intelligence is widely used in digital marketing initiatives when speed is paramount.
A.I. marketing solutions examine data and consumer profiles to understand the most effective ways to interact with customers. This helps the solutions achieve the highest possible level of efficiency. They then send those individuals personalized communications at the proper time, independent of the assistance of marketing team personnel. Modern digital marketers frequently use artificial intelligence to assist marketing teams or carry out more tactical activities that don't require as much human delicacy as they would otherwise.
Canadians are accepting online purchasing despite the massive retail revolution. In 2022, approximately 27 million Canadians, or more than 75 percent of the country's population, utilized eCommerce. By 2025, this percentage is anticipated to have increased to 77.6%. According to Statistics Canada, Canadian eCommerce retail sales surpassed the increase in May 2020 (US$3.2 billion) due to the pandemic-related closures and hit a new high of $3.82 billion in December 2020. North America's expanding e-commerce sales and high internet penetration rate will fuel the need for efficient, consumer-centric, and cost-effective marketing methods for reaching the target audience, thereby propelling the market for AI in marketing in the region.
The US market dominated the North America Artificial Intelligence (AI) In Marketing Market by Country in 2022, and would continue to be a dominant market till 2030; thereby, achieving a market value of $18,878.4 million by 2030. The Canada market is estimated to grow at a CAGR of 28.8% during (2023-2030). Additionally, The Mexico market should witness a CAGR of 27.7% during (2023-2030).
Based on Technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision and Others. Based on End-user, the market is segmented into Media & Entertainment, Consumer Goods & Retail, BFSI, IT & Telecommunications and Others. Based on Component, the market is segmented into Software and Services. Based on Application, the market is segmented into Content Curation, Social Media Advertising, Virtual Assistant, Search Engine Marketing, Sales & Marketing Automation, Analytics Platform and Others. Based on countries, the market is segmented into U.S., Mexico, Canada, and Rest of North America.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include Amazon.com, Inc., Baidu, Inc., IBM Corporation, Microsoft Corporation, Oracle Corporation, Salesforce, Inc., NVIDIA Corporation, Google LLC (Alphabet Inc.), Intel Corporation and Twitter, Inc.
Scope of the Study
By Technology
- Machine Learning
- Natural Language Processing
- Computer Vision
- Others
By End-user
- Media & Entertainment
- Consumer Goods & Retail
- BFSI
- IT & Telecommunications
- Others
By Component
- Software
- Services
By Application
- Content Curation
- Social Media Advertising
- Virtual Assistant
- Search Engine Marketing
- Sales & Marketing Automation
- Analytics Platform
- Others
By Country
- US
- Canada
- Mexico
- Rest of North America
Key Market Players
List of Companies Profiled in the Report:
- Amazon.com, Inc.
- Baidu, Inc.
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- Salesforce, Inc.
- NVIDIA Corporation
- Google LLC (Alphabet Inc.)
- Intel Corporation
- Twitter, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology
Chapter 2. Market Overview
Chapter 3. Competition Analysis - Global
Chapter 4. North America Artificial Intelligence (AI) In Marketing Market by Technology
Chapter 5. North America Artificial Intelligence (AI) In Marketing Market by End User
Chapter 6. North America Artificial Intelligence (AI) In Marketing Market by Component
Chapter 7. North America Artificial Intelligence (AI) In Marketing Market by Application
Chapter 8. North America Artificial Intelligence (AI) In Marketing Market by Country
Chapter 9. Company Profiles
Companies Mentioned
- Amazon.com, Inc.
- Baidu, Inc.
- IBM Corporation
- Microsoft Corporation
- Oracle Corporation
- Salesforce, Inc.
- NVIDIA Corporation
- Google LLC (Alphabet Inc.)
- Intel Corporation
- Twitter, Inc.
Methodology
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