Artificial Intelligence in Marketing Market by Offering, Technology, Deployment Type, Application, End-User Industry

Description

List of Tables

The Artificial Intelligence in Marketing Market was valued at USD 11.65 billion in 2023, expected to reach USD 13.84 billion in 2024, and is projected to grow at a CAGR of 18.89%, to USD 39.13 billion by 2030.

The artificial intelligence (AI) in marketing market is dynamically transforming the landscape by leveraging data and predictive analytics to enhance customer engagement, optimize ad spending, and drive personalized experiences. AI technologies, including machine learning, natural language processing, and computer vision, are pivotal in creating innovative marketing solutions. The necessity of AI in marketing stems from the pressing need for real-time consumer insights, automation of routine tasks, and the ability to discern patterns from massive datasets, thereby enabling more informed decision-making and improved ROI. Applications are diverse, encompassing chatbots for customer service, personalized email marketing, sentiment analysis, and predictive analytics for targeted campaigns. The end-use scope spans multiple sectors such as retail, e-commerce, banking, and telecommunications, each benefitting from enhanced targeting capabilities and customer personalization powered by AI.

KEY MARKET STATISTICS
Base Year [2023]	USD 11.65 billion
Estimated Year [2024]	USD 13.84 billion
Forecast Year [2030]	USD 39.13 billion
CAGR (%)	18.89%

Market growth is primarily driven by the rapid digitization of businesses, the proliferation of big data, and an escalating demand for proactive customer engagement. These factors create fertile grounds for emerging opportunities, such as the integration of AI with omnichannel strategies, which enables seamless customer interactions across various platforms. Additionally, the potential to leverage AI for sustainability marketing and ethical AI practices presents another growth avenue. However, challenges abound, such as data privacy concerns, the high cost of AI implementation, and a skills gap in designing and managing AI systems, which can hinder adoption rates.

To foster business growth, companies should invest in AI research focused on enhancing data security measures and developing user-friendly AI platforms tailored to small and medium-sized enterprises. Innovations in AI-driven augmented reality and voice search optimization are promising areas for exploration. The market is inherently competitive, characterized by rapid technological advancements and collaborative partnerships. Companies are recommended to adopt a strategic approach to AI deployment, emphasizing transparency, ethical practices, and consumer trust to navigate challenges and capitalize on burgeoning opportunities effectively.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Marketing Market

The Artificial Intelligence in Marketing Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Increasing focus on customer-centric marketing strategies
- Rising use of digital network and social media for marketing
- AI benefits in customer acquisition and lead generation
Market Restraints
- Lack of AI professionals to manage AI systems
Market Opportunities
- Growing adoption of cloud-based applications
- Increasing scope of AI in marketing analysis
Market Challenges
- Slow digitization rate affecting in emerging markets

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Marketing Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Marketing Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Marketing Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Marketing Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Marketing Market

A detailed market share analysis in the Artificial Intelligence in Marketing Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Marketing Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Marketing Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Marketing Market

A strategic analysis of the Artificial Intelligence in Marketing Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

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:

Based on Offering, market is studied across Hardware, Services, and Software. The Hardware is further studied across Network, Processor, and Storage. The Services is further studied across Deployment & Integration and Support & Maintenance.
Based on Technology, market is studied across Computer Vision, Context-Aware Computing, Machine Learning, and Natural Language Processing (NLP). The Machine Learning is further studied across Deep Learning, Reinforcement Learning, Semi-Supervised Learning, Supervised Learning, and Unsupervised Learning.
Based on Deployment Type, market is studied across On-Cloud and On-Premises.
Based on Application, market is studied across Analytics Platform, Content Curation, Dynamic Pricing, Sales & Marketing Automation, Search Advertising, Social Media Advertising, and Virtual Assistant.
Based on End-User Industry, market is studied across BFSI, Consumer Goods, Enterprise, Media & Advertising, and Retail.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-031BF22F9542

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. 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

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. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Artificial Intelligence in Marketing Market, by Offering

6.1. Introduction
6.2. Hardware
- 6.2.1. Network
- 6.2.2. Processor
- 6.2.3. Storage
6.3. Services
- 6.3.1. Deployment & Integration
- 6.3.2. 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
- 7.4.1. 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. 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. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
14.4. Strategy Analysis & Recommendation