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

Description

List of Tables

[192 Pages Report] 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.

Global Artificial Intelligence in Marketing Market

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%

Artificial Intelligence in Market - IMG1

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:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. 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.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the Artificial Intelligence in Marketing Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Marketing Market?

3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Marketing Market?

4. What is the market share of the leading vendors in the Artificial Intelligence in Marketing Market?

5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Marketing Market?

Product Code: MRR-031BF22F9543

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