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The global artificial intelligence in marketing market size reached around USD 23.50 billion in 2023. The market is estimated to grow at a CAGR of 22.0% between 2024 and 2032, reaching a value of nearly USD 139.69 billion by 2032.
Artificial intelligence is one of the leading and widely adopted technologies in the world. In marketing, artificial intelligence is utilised to automate decision-making through the analysis of large databases and additional observations of various audience behaviours and market trends. Some of the most known AI marketing tools include chatbots, personal assistants, recommendation engines, and image recognition, among others.
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Based on the offering, the market is segmented into hardware, software, and services. Based on deployment, the market can be bifurcated into cloud and on-premises. Based on technology, the market is divided into deep learning, machine learning, context aware computing, natural language processing, and computer vision.
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The artificial intelligence in marketing market, based on application, is categorised into social media advertising, sales and marketing automation, content curation, virtual assistant, web and app personalisation, search advertising, analytics, and voice search, among others. The market divisions on the basis of end use include BFSI, retail, enterprise, consumer goods, and media and entertainment, among others. The major regional markets for artificial intelligence in marketing are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The comprehensive EMR report provides an in-depth assessment of the market based on Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global artificial intelligence in marketing market, covering their competitive landscape and the latest developments like mergers, acquisitions, investments and expansion plans.
The cloud segment is expected to register a healthy growth during the forecast period. Cloud in artificial intelligence refers to services related to AI provided on cloud servers that are accessible through the internet. The growth of the segment can be attributed to various benefits provided by this type of service, including improved accessibility, affordability, scalability, and easier deployment process compared to on-premises solutions.
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Virtual assistants hold a significant market share due to their increasing adoption in different business sectors. A virtual assistant provides multiple benefits to customer care services such as increased interaction with the customer.
Moreover, virtual voice assistants can further enhance a company’s proficiency by handling frequently asked questions from customers. They are widely incorporated in customer services and sales interactions in various business settings.
Google LLC is one of the most prominent software development companies in the world. Established in 1998 and based in the United States, the company has extensive experience in various technological fields such as artificial intelligence, computer software, online advertising, e-commerce, search engine technology, cloud computing, consumer electronics, and quantum computing, among others.
Salesforce, Inc. is one the leading cloud-based software development companies, headquartered in California, the United States. Since the founding of the company in 1999, it has developed its platform for enterprise cloud computing and customer relationship management. Its software is considered to be one of the best to help businesses communicate with their customers.
Quantcast Corp. is an international company engaged in developing digital advertising technologies that are utilised for audience measurement and real-time advertising. The company’s foundation dates back to the year 2006 and its headquarter is located in California, the United States. Quantcast provides various solutions and services to help businesses better understand their online audience and optimise their digital advertising strategies.
Other market players include IBM Corporation, Appier Inc., Sentient.io Pte. Ltd., Meta Platforms, Inc., Amazon Web Services, Inc., PM AM Corporation, Microsoft Corporation, and Adobe Inc., among others.
REPORT FEATURES | DETAILS |
Base Year | 2023 |
Historical Period | 2018-2023 |
Forecast Period | 2024-2032 |
Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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Breakup by Offering |
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Breakup by Deployment |
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Breakup by Technology |
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Breakup by Application |
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Breakup by End Use |
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Breakup by Region |
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Market Dynamics |
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Competitive Landscape |
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Companies Covered |
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*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.
1 Preface
2 Report Coverage – Key Segmentation and Scope
3 Report Description
3.1 Market Definition and Outlook
3.2 Properties and Applications
3.3 Market Analysis
3.4 Key Players
4 Key Assumptions
5 Executive Summary
5.1 Overview
5.2 Key Drivers
5.3 Key Developments
5.4 Competitive Structure
5.5 Key Industrial Trends
6 Market Snapshot
6.1 Global
6.2 Regional
7 Opportunities and Challenges in the Market
8 Global Artificial Intelligence in Marketing Market Analysis
8.1 Key Industry Highlights
8.2 Global Artificial Intelligence in Marketing Historical Market (2018-2023)
8.3 Global Artificial Intelligence in Marketing Market Forecast (2024-2032)
8.4 Global Artificial Intelligence in Marketing Market by Offering
8.4.1 Hardware
8.4.1.1 Historical Trend (2018-2023)
8.4.1.2 Forecast Trend (2024-2032)
8.4.2 Software
8.4.2.1 Historical Trend (2018-2023)
8.4.2.2 Forecast Trend (2024-2032)
8.4.3 Services
8.4.3.1 Historical Trend (2018-2023)
8.4.3.2 Forecast Trend (2024-2032)
8.5 Global Artificial Intelligence in Marketing Market by Deployment
8.5.1 Cloud
8.5.1.1 Historical Trend (2018-2023)
8.5.1.2 Forecast Trend (2024-2032)
8.5.2 On-Premises
8.5.2.1 Historical Trend (2018-2023)
8.5.2.2 Forecast Trend (2024-2032)
8.6 Global Artificial Intelligence in Marketing Market by Technology
8.6.1 Deep Learning
8.6.1.1 Historical Trend (2018-2023)
8.6.1.2 Forecast Trend (2024-2032)
8.6.2 Machine Learning
8.6.2.1 Historical Trend (2018-2023)
8.6.2.2 Forecast Trend (2024-2032)
8.6.3 Context Aware Computing
8.6.3.1 Historical Trend (2018-2023)
8.6.3.2 Forecast Trend (2024-2032)
8.6.4 Natural Language Processing
8.6.4.1 Historical Trend (2018-2023)
8.6.4.2 Forecast Trend (2024-2032)
8.6.5 Computer Vision
8.6.5.1 Historical Trend (2018-2023)
8.6.5.2 Forecast Trend (2024-2032)
8.7 Global Artificial Intelligence in Marketing Market by Application
8.7.1 Social Media Advertising
8.7.1.1 Historical Trend (2018-2023)
8.7.1.2 Forecast Trend (2024-2032)
8.7.2 Sales and Marketing Automation
8.7.2.1 Historical Trend (2018-2023)
8.7.2.2 Forecast Trend (2024-2032)
8.7.3 Content Curation
8.7.3.1 Historical Trend (2018-2023)
8.7.3.2 Forecast Trend (2024-2032)
8.7.4 Virtual Assistant
8.7.4.1 Historical Trend (2018-2023)
8.7.4.2 Forecast Trend (2024-2032)
8.7.5 Web and App Personalisation
8.7.5.1 Historical Trend (2018-2023)
8.7.5.2 Forecast Trend (2024-2032)
8.7.6 Search Advertising
8.7.6.1 Historical Trend (2018-2023)
8.7.6.2 Forecast Trend (2024-2032)
8.7.7 Analytics
8.7.7.1 Historical Trend (2018-2023)
8.7.7.2 Forecast Trend (2024-2032)
8.7.8 Voice Search
8.7.8.1 Historical Trend (2018-2023)
8.7.8.2 Forecast Trend (2024-2032)
8.7.9 Others
8.8 Global Artificial Intelligence in Marketing Market by End Use
8.8.1 BFSI
8.8.1.1 Historical Trend (2018-2023)
8.8.1.2 Forecast Trend (2024-2032)
8.8.2 Retail
8.8.2.1 Historical Trend (2018-2023)
8.8.2.2 Forecast Trend (2024-2032)
8.8.3 Enterprise
8.8.3.1 Historical Trend (2018-2023)
8.8.3.2 Forecast Trend (2024-2032)
8.8.4 Consumer Goods
8.8.4.1 Historical Trend (2018-2023)
8.8.4.2 Forecast Trend (2024-2032)
8.8.5 Media and Entertainment
8.8.5.1 Historical Trend (2018-2023)
8.8.5.2 Forecast Trend (2024-2032)
8.8.6 Others
8.9 Global Artificial Intelligence in Marketing Market by Region
8.9.1 North America
8.9.1.1 Historical Trend (2018-2023)
8.9.1.2 Forecast Trend (2024-2032)
8.9.2 Europe
8.9.2.1 Historical Trend (2018-2023)
8.9.2.2 Forecast Trend (2024-2032)
8.9.3 Asia Pacific
8.9.3.1 Historical Trend (2018-2023)
8.9.3.2 Forecast Trend (2024-2032)
8.9.4 Latin America
8.9.4.1 Historical Trend (2018-2023)
8.9.4.2 Forecast Trend (2024-2032)
8.9.5 Middle East and Africa
8.9.5.1 Historical Trend (2018-2023)
8.9.5.2 Forecast Trend (2024-2032)
9 North America Artificial Intelligence in Marketing Market Analysis
9.1 United States of America
9.1.1 Historical Trend (2018-2023)
9.1.2 Forecast Trend (2024-2032)
9.2 Canada
9.2.1 Historical Trend (2018-2023)
9.2.2 Forecast Trend (2024-2032)
10 Europe Artificial Intelligence in Marketing Market Analysis
10.1 United Kingdom
10.1.1 Historical Trend (2018-2023)
10.1.2 Forecast Trend (2024-2032)
10.2 Germany
10.2.1 Historical Trend (2018-2023)
10.2.2 Forecast Trend (2024-2032)
10.3 France
10.3.1 Historical Trend (2018-2023)
10.3.2 Forecast Trend (2024-2032)
10.4 Italy
10.4.1 Historical Trend (2018-2023)
10.4.2 Forecast Trend (2024-2032)
10.5 Others
11 Asia Pacific Artificial Intelligence in Marketing Market Analysis
11.1 China
11.1.1 Historical Trend (2018-2023)
11.1.2 Forecast Trend (2024-2032)
11.2 Japan
11.2.1 Historical Trend (2018-2023)
11.2.2 Forecast Trend (2024-2032)
11.3 India
11.3.1 Historical Trend (2018-2023)
11.3.2 Forecast Trend (2024-2032)
11.4 ASEAN
11.4.1 Historical Trend (2018-2023)
11.4.2 Forecast Trend (2024-2032)
11.5 Australia
11.5.1 Historical Trend (2018-2023)
11.5.2 Forecast Trend (2024-2032)
11.6 Others
12 Latin America Artificial Intelligence in Marketing Market Analysis
12.1 Brazil
12.1.1 Historical Trend (2018-2023)
12.1.2 Forecast Trend (2024-2032)
12.2 Argentina
12.2.1 Historical Trend (2018-2023)
12.2.2 Forecast Trend (2024-2032)
12.3 Mexico
12.3.1 Historical Trend (2018-2023)
12.3.2 Forecast Trend (2024-2032)
12.4 Others
13 Middle East and Africa Artificial Intelligence in Marketing Market Analysis
13.1 Saudi Arabia
13.1.1 Historical Trend (2018-2023)
13.1.2 Forecast Trend (2024-2032)
13.2 United Arab Emirates
13.2.1 Historical Trend (2018-2023)
13.2.2 Forecast Trend (2024-2032)
13.3 Nigeria
13.3.1 Historical Trend (2018-2023)
13.3.2 Forecast Trend (2024-2032)
13.4 South Africa
13.4.1 Historical Trend (2018-2023)
13.4.2 Forecast Trend (2024-2032)
13.5 Others
14 Market Dynamics
14.1 SWOT Analysis
14.1.1 Strengths
14.1.2 Weaknesses
14.1.3 Opportunities
14.1.4 Threats
14.2 Porter’s Five Forces Analysis
14.2.1 Supplier’s Power
14.2.2 Buyer’s Power
14.2.3 Threat of New Entrants
14.2.4 Degree of Rivalry
14.2.5 Threat of Substitutes
14.3 Key Indicators for Demand
14.4 Key Indicators for Price
15 Competitive Landscape
15.1 Market Structure
15.2 Company Profiles
15.2.1 IBM Corporation
15.2.1.1 Company Overview
15.2.1.2 Product Portfolio
15.2.1.3 Demographic Reach and Achievements
15.2.1.4 Certifications
15.2.2 Google LLC
15.2.2.1 Company Overview
15.2.2.2 Product Portfolio
15.2.2.3 Demographic Reach and Achievements
15.2.2.4 Certifications
15.2.3 Salesforce, Inc.
15.2.3.1 Company Overview
15.2.3.2 Product Portfolio
15.2.3.3 Demographic Reach and Achievements
15.2.3.4 Certifications
15.2.4 Quantcast Corp.
15.2.4.1 Company Overview
15.2.4.2 Product Portfolio
15.2.4.3 Demographic Reach and Achievements
15.2.4.4 Certifications
15.2.5 Appier Inc.
15.2.5.1 Company Overview
15.2.5.2 Product Portfolio
15.2.5.3 Demographic Reach and Achievements
15.2.5.4 Certifications
15.2.6 Sentient.io Pte. Ltd.
15.2.6.1 Company Overview
15.2.6.2 Product Portfolio
15.2.6.3 Demographic Reach and Achievements
15.2.6.4 Certifications
15.2.7 Meta Platforms, Inc.
15.2.7.1 Company Overview
15.2.7.2 Product Portfolio
15.2.7.3 Demographic Reach and Achievements
15.2.7.4 Certifications
15.2.8 Amazon Web Services, Inc.
15.2.8.1 Company Overview
15.2.8.2 Product Portfolio
15.2.8.3 Demographic Reach and Achievements
15.2.8.4 Certifications
15.2.9 PM AM Corporation
15.2.9.1 Company Overview
15.2.9.2 Product Portfolio
15.2.9.3 Demographic Reach and Achievements
15.2.9.4 Certifications
15.2.10 Microsoft Corporation
15.2.10.1 Company Overview
15.2.10.2 Product Portfolio
15.2.10.3 Demographic Reach and Achievements
15.2.10.4 Certifications
15.2.11 Adobe Inc.
15.2.11.1 Company Overview
15.2.11.2 Product Portfolio
15.2.11.3 Demographic Reach and Achievements
15.2.11.4 Certifications
15.2.12 Others
16 Key Trends and Developments in the Market
List of Key Figures and Tables
1. Global Artificial Intelligence in Marketing Market: Key Industry Highlights, 2018 and 2032
2. Global Artificial Intelligence in Marketing Historical Market: Breakup by Offering (USD Billion), 2018-2023
3. Global Artificial Intelligence in Marketing Market Forecast: Breakup by Offering (USD Billion), 2024-2032
4. Global Artificial Intelligence in Marketing Historical Market: Breakup by Deployment (USD Billion), 2018-2023
5. Global Artificial Intelligence in Marketing Market Forecast: Breakup by Deployment (USD Billion), 2024-2032
6. Global Artificial Intelligence in Marketing Historical Market: Breakup by Technology (USD Billion), 2018-2023
7. Global Artificial Intelligence in Marketing Market Forecast: Breakup by Technology (USD Billion), 2024-2032
8. Global Artificial Intelligence in Marketing Historical Market: Breakup by Application (USD Billion), 2018-2023
9. Global Artificial Intelligence in Marketing Market Forecast: Breakup by Application (USD Billion), 2024-2032
10. Global Artificial Intelligence in Marketing Historical Market: Breakup by End Use (USD Billion), 2018-2023
11. Global Artificial Intelligence in Marketing Market Forecast: Breakup by End Use (USD Billion), 2024-2032
12. Global Artificial Intelligence in Marketing Historical Market: Breakup by Region (USD Billion), 2018-2023
13. Global Artificial Intelligence in Marketing Market Forecast: Breakup by Region (USD Billion), 2024-2032
14. North America Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
15. North America Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
16. Europe Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
17. Europe Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
18. Asia Pacific Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
19. Asia Pacific Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
20. Latin America Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
21. Latin America Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
22. Middle East and Africa Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
23. Middle East and Africa Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
24. Global Artificial Intelligence in Marketing Market Structure
In 2023, the market reached an approximate value of USD 23.50 billion.
The market is projected to grow at a CAGR of 22.0% between 2024 and 2032.
The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach around USD 139.69 billion by 2032.
The market is being driven by the increasing competition for customer acquisition among companies and the growing adoption of customer-centric marketing strategies.
The market development is guided by the increasing digitisation in various business sectors and the growing implementation of data analytics and deep learning to enhance marketing processes.
The major regional markets include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The different segments based on technologies of artificial intelligence in marketing include deep learning, machine learning, context aware computing, natural language processing, and computer vision.
The key players in the artificial intelligence in marketing market include IBM Corporation, Google LLC, Salesforce, Inc., Quantcast Corp., Appier Inc., Sentient.io Pte. Ltd., Meta Platforms, Inc., Amazon Web Services, Inc., PM AM Corporation, Microsoft Corporation, and Adobe Inc., among others.
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