
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
Description
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
Deployment & Integration
Computer Vision
Deep Learning
On-Cloud
Analytics Platform
BFSI
Americas
Argentina
California
Australia
Denmark
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.
- 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
Table of Contents
192 Pages
- 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
- FIGURE 3. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, 2018-2030 (USD MILLION)
- FIGURE 4. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REGION, 2023 VS 2030 (%)
- FIGURE 5. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 6. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET DYNAMICS
- FIGURE 7. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY OFFERING, 2023 VS 2030 (%)
- FIGURE 8. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY OFFERING, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 9. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
- FIGURE 10. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 11. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2030 (%)
- FIGURE 12. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY DEPLOYMENT TYPE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 13. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
- FIGURE 14. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 15. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2030 (%)
- FIGURE 16. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY END-USER INDUSTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 17. AMERICAS ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 18. AMERICAS ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 19. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY STATE, 2023 VS 2030 (%)
- FIGURE 20. UNITED STATES ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 21. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 22. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 23. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
- FIGURE 24. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
- FIGURE 25. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET, FPNV POSITIONING MATRIX, 2023
- FIGURE 26. ARTIFICIAL INTELLIGENCE IN MARKETING MARKET SHARE, BY KEY PLAYER, 2023
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