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Global Artificial Intelligence in Marketing Market (2022-2027) by Offering, Technology, Deployment, Application, End-User, Geography, Competitive Analysis, and the Impact of Covid-19 with Ansoff Analysis

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  • 188 Pages
  • April 2022
  • Region: Global
  • Infogence Global Research
  • ID: 5601716


  • Albert Technologies
  • Amazon
  • Baidu
  • IBM
  • Meta Platforms
  • Nvidia
The Global Artificial Intelligence in Marketing Market is estimated to be USD 9.8 Bn in 2022 and is projected to reach USD 23.14 Bn by 2027, growing at a CAGR of 18.75%.

Market Dynamics

Market dynamics are forces that impact the prices and behaviors of the Global Artificial Intelligence in Marketing Market stakeholders. These forces create pricing signals which result from the changes in the supply and demand curves for a given product or service. Forces of Market Dynamics may be related to macro-economic and micro-economic factors. There are dynamic market forces other than price, demand, and supply. Human emotions can also drive decisions, influence the market, and create price signals.

As the market dynamics impact the supply and demand curves, decision-makers aim to determine the best way to use various financial tools to stem various strategies for speeding the growth and reducing the risks.

Market Segmentations

The Global Artificial Intelligence in Marketing Market is segmented based on Offering, Technology, Deployment, Application, End-User, and Geography.
  • By Offering, the market is classified into Hardware, Services, and Software.
  • By Technology, the market is classified into Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing (NLP)
  • By Deployment, the market is classified into On Premises and On Cloud.
  • By Application, the market is classified into Analytics Platform, Content Curation, Dynamic Pricing, Sales & Marketing Automation, Search Advertising, Social Media Advertising, and Virtual Assistant
  • By End-User, the market is classified into Enterprise, BFSI, Retail, Consumer Goods, and Media & Advertising.
  • By Geography, the market is classified into Americas, Europe, Middle-East & Africa and Asia-Pacific.

Company Profiles

The report provides a detailed analysis of the competitors in the market. It covers the financial performance analysis for the publicly listed companies in the market. The report also offers detailed information on the companies' recent development and competitive scenario. Some of the companies covered in this report are Albert Technologies, Alibaba Group Holding, Amazon, Appier, Baidu, GumGum, Intel, IBM, Meta Platforms, Microsoft, Nvidia, Oculus360, Oracle, Salesforce, Samsung Electronics, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Ansoff Analysis

  • The report presents a detailed Ansoff matrix analysis for the Global Artificial Intelligence in Marketing Market. Ansoff Matrix, also known as Product/Market Expansion Grid, is a strategic tool used to design strategies for the growth of the company. The matrix can be used to evaluate approaches in four strategies viz. Market Development, Market Penetration, Product Development and Diversification. The matrix is also used for risk analysis to understand the risk involved with each approach.
  • The report analyses the Global Artificial Intelligence in Marketing Market using the Ansoff Matrix to provide the best approaches a company can take to improve its market position.
  • Based on the SWOT analysis conducted on the industry and industry players, the analyst has devised suitable strategies for market growth.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Artificial Intelligence in Marketing Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the analyst's Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including the parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market


  • Albert Technologies
  • Amazon
  • Baidu
  • IBM
  • Meta Platforms
  • Nvidia

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Stakeholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size, Segmentations and Outlook
4 Market Dynamics
4.1 Drivers
4.1.1 Higher Usage of Social Media for Advertising
4.1.2 Increasing Adoption of Customer-Centric Marketing Strategies
4.1.3 Huge Demand for Virtual Assistants
4.2 Restraints
4.2.1 Limited Number of AI Experts
4.3 Opportunities
4.3.1 Growing Adoption of Cloud-Based Applications and Services
4.3.2 Development of Marketing Analytics
4.4 Challenges
4.4.1 Fear Regarding Data Privacy
4.4.2 Unreliability of AI Algorithms
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global Artificial Intelligence in Marketing Market, By Offering
6.1 Introduction
6.2 Hardware
6.3 1 Network
6.4 2 Processor
6.5 3 Storage
6.6 Services
6.7 1 Deployment & Integration
6.8 2 Support & Maintenance
6.9 Software
7 Global Artificial Intelligence in Marketing Market, By Technology
7.1 Introduction
7.2 Computer Vision
7.3 Context-Aware Computing
7.4 Machine Learning
7.4.1 Deep Learning
7.4.2 Reinforcement Learning
7.4.3 Semi-Supervised Learning
7.4.4 Supervised Learning
7.4.5 Unsupervised Learning
7.5 Natural Language Processing (NLP)
8 Global Artificial Intelligence in Marketing Market, By Deployment
8.1 Introduction
8.2 On Premises
8.3 On Cloud
9 Global Artificial Intelligence in Marketing Market, By Application
9.1 Introduction
9.2 Analytics Platform
9.3 Content Curation
9.4 Dynamic Pricing
9.5 Sales & Marketing Automation
9.6 Search Advertising
9.7 Social Media Advertising
9.8 Virtual Assistant
10 Global Artificial Intelligence in Marketing Market, By End-User
10.1 Introduction
10.2 Enterprise
10.3 BFSI
10.4 Retail
10.5 Consumer Goods
10.6 Media & Advertising
11 Americas’ Artificial Intelligence in Marketing Market
11.1 Introduction
11.2 Argentina
11.3 Brazil
11.4 Canada
11.5 Chile
11.6 Colombia
11.7 Mexico
11.8 Peru
11.9 United States
11.10 Rest of Americas
12 Europe’s Artificial Intelligence in Marketing Market
12.1 Introduction
12.2 Austria
12.3 Belgium
12.4 Denmark
12.5 Finland
12.6 France
12.7 Germany
12.8 Italy
12.9 Netherlands
12.10 Norway
12.11 Poland
12.12 Russia
12.13 Spain
12.14 Sweden
12.15 Switzerland
12.16 United Kingdom
12.17 Rest of Europe
13 Middle East and Africa’s Artificial Intelligence in Marketing Market
13.1 Introduction
13.2 Egypt
13.3 Israel
13.4 Qatar
13.5 Saudi Arabia
13.6 South Africa
13.7 United Arab Emirates
13.8 Rest of MEA
14 APAC’s Artificial Intelligence in Marketing Market
14.1 Introduction
14.2 Australia
14.3 Bangladesh
14.4 China
14.5 India
14.6 Indonesia
14.7 Japan
14.8 Malaysia
14.9 Philippines
14.10 Singapore
14.11 South Korea
14.12 Sri Lanka
14.13 Thailand
14.14 Taiwan
14.15 Rest of Asia-Pacific
15 Competitive Landscape
15.1 Competitive Quadrant
15.2 Market Share Analysis
15.3 Strategic Initiatives
15.3.1 M&A and Investments
15.3.2 Partnerships and Collaborations
15.3.3 Product Developments and Improvements
16 Company Profiles
16.1 Albert Technologies
16.2 Alibaba Group Holding
16.3 Amazon
16.4 Appier
16.5 Baidu
16.6 GumGum
16.7 Intel
16.8 IBM
16.9 Meta Platforms
16.10 Microsoft
16.11 Nvidia
16.12 Oculus360
16.13 Oracle
16.14 Salesforce
16.15 Samsung Electronics
17 Appendix
17.1 Questionnaire
  • Albert Technologies
  • Alibaba Group Holding
  • Amazon
  • Appier
  • Baidu
  • GumGum
  • Intel
  • IBM
  • Meta Platforms
  • Microsoft
  • Nvidia
  • Oculus360
  • Oracle
  • Salesforce
  • Samsung Electronics