Artificial Intelligence in Marketing Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Deployment Type, Application, End-User Industry - Global Forecast 2024-2030
The Artificial Intelligence in Marketing Market size was estimated at USD 11.65 billion in 2023 and expected to reach USD 13.84 billion in 2024, at a CAGR 18.89% to reach USD 39.13 billion by 2030.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Marketing Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Marketing Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Marketing Market, highlighting leading vendors and their innovative profiles. These include Amazon Web Services Inc, Appier Inc., Baidu, Inc., GumGum, Inc., H2O.ai, Inc., Intel Corporation, International Business Machines Corporation, Iteris, Inc., Meta Platforms, Inc, Micron Technology, Inc., Microsoft Corporation, NVIDIA Corporation, Oracle Corporation, Salesforce, Inc., and Samsung Electronics Co., Ltd..
Market Segmentation & Coverage
This research report categorizes the Artificial Intelligence in Marketing Market to forecast the revenues and analyze trends in each of the following sub-markets:
Offering
Hardware
Network
Processor
Storage
Services
Deployment & Integration
Support & Maintenance
Software
Technology
Computer Vision
Context-Aware Computing
Machine Learning
Deep Learning
Reinforcement Learning
Semi-Supervised Learning
Supervised Learning
Unsupervised Learning
Natural Language Processing (NLP)
Deployment Type
On-Cloud
On-Premises
Application
Analytics Platform
Content Curation
Dynamic Pricing
Sales & Marketing Automation
Search Advertising
Social Media Advertising
Virtual Assistant
End-User Industry
BFSI
Consumer Goods
Enterprise
Media & Advertising
Retail
Region
Americas
Argentina
Brazil
Canada
Mexico
United States
California
Florida
Illinois
New York
Ohio
Pennsylvania
Texas
Asia-Pacific
Australia
China
India
Indonesia
Japan
Malaysia
Philippines
Singapore
South Korea
Taiwan
Thailand
Vietnam
Europe, Middle East & Africa
Denmark
Egypt
Finland
France
Germany
Israel
Italy
Netherlands
Nigeria
Norway
Poland
Qatar
Russia
Saudi Arabia
South Africa
Spain
Sweden
Switzerland
Turkey
United Arab Emirates
United Kingdom The report offers valuable insights on the following aspects:
Market Penetration: It presents comprehensive information on the market provided by key players.
Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
The report addresses key questions such as:
What is the market size and forecast of the Artificial Intelligence in Marketing Market?
Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Marketing Market?
What are the technology trends and regulatory frameworks in the Artificial Intelligence in Marketing Market?
What is the market share of the leading vendors in the Artificial Intelligence in Marketing Market?
Which modes and strategic moves are suitable for entering the Artificial Intelligence in Marketing Market?
Note: PDF & Excel + Online Access - 1 Year
1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in Marketing Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Increasing focus on customer-centric marketing strategies
5.1.1.2. Rising use of digital network and social media for marketing
5.1.1.3. AI benefits in customer acquisition and lead generation
5.1.2. Restraints
5.1.2.1. Lack of AI professionals to manage AI systems
5.1.3. Opportunities
5.1.3.1. Growing adoption of cloud-based applications
5.1.3.2. Increasing scope of AI in marketing analysis
5.1.4. Challenges
5.1.4.1. Slow digitization rate affecting in emerging markets
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Artificial Intelligence in Marketing Market, by Offering
6.1. Introduction
6.2. Hardware
6.3.1. Network
6.3.2. Processor
6.3.3. Storage
6.3. Services
6.4.1. Deployment & Integration
6.4.2. Support & Maintenance
6.4. Software
7. Artificial Intelligence in Marketing Market, by Technology
7.1. Introduction
7.2. Computer Vision
7.3. Context-Aware Computing
7.4. Machine Learning
7.5.1. Deep Learning
7.5.2. Reinforcement Learning
7.5.3. Semi-Supervised Learning
7.5.4. Supervised Learning
7.5.5. Unsupervised Learning
7.5. Natural Language Processing (NLP)
8. Artificial Intelligence in Marketing Market, by Deployment Type
8.1. Introduction
8.2. On-Cloud
8.3. On-Premises
9. 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. Artificial Intelligence in Marketing Market, by End-User Industry
10.1. Introduction
10.2. BFSI
10.3. Consumer Goods
10.4. Enterprise
10.5. Media & Advertising
10.6. Retail
11. Americas Artificial Intelligence in Marketing Market
11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States
12. Asia-Pacific Artificial Intelligence in Marketing Market
12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam
13. Europe, Middle East & Africa Artificial Intelligence in Marketing Market
13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom
14. Competitive Landscape
14.1. FPNV Positioning Matrix
14.2. Market Share Analysis, By Key Player
14.3. Competitive Scenario Analysis, By Key Player
15. Competitive Portfolio
15.1. Key Company Profiles
15.1.1. Amazon Web Services Inc
15.1.2. Appier Inc.
15.1.3. Baidu, Inc.
15.1.4. GumGum, Inc.
15.1.5. H2O.ai, Inc.
15.1.6. Intel Corporation
15.1.7. International Business Machines Corporation
15.1.8. Iteris, Inc.
15.1.9. Meta Platforms, Inc
15.1.10. Micron Technology, Inc.
15.1.11. Microsoft Corporation
15.1.12. NVIDIA Corporation
15.1.13. Oracle Corporation
15.1.14. Salesforce, Inc.
15.1.15. Samsung Electronics Co., Ltd.
15.2. Key Product Portfolio
16. Appendix
16.1. Discussion Guide
16.2. License & Pricing
FIGURE 1. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET RESEARCH PROCESS
FIGURE 2. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, 2023 VS 2030