Global AI In Marketing Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

Description

List of Tables

The global demand for AI In Marketing Market is presumed to reach the market size of nearly USD 115.29 Billion by 2032 from USD 15.26 Billion in 2023 with a CAGR of 25.19% under the study period 2024 - 2032.

AI in marketing is the application of AI technologies and techniques to enhance and automate various aspects of marketing processes and strategies. Artificial intelligence leverages advanced algorithms, machine learning, and data analytics to analyze large datasets, derive insights, and make data-driven decisions, ultimately optimizing marketing campaigns and improving overall efficiency.

MARKET DYNAMICS

The AI in marketing market is propelled by several factors responding to the evolving landscape of digital marketing and consumer expectations. The surge in data volume and complexity necessitates AI-driven analytics for efficient data processing and decision-making. The demand for personalized experiences drives AI adoption, allowing marketers to tailor content and advertisements based on individual preferences. Automation assists in streamlining marketing workflows, saving time, and improving accuracy. Predictive analytics capabilities address the need to forecast trends, customer behaviors, and market dynamics, providing a competitive edge. The popularity of chatbots and virtual assistants enhances customer interactions, while e-commerce growth fuels AI applications in personalized recommendations and dynamic pricing. Social media management benefits from AI tools, optimizing content planning and sentiment analysis. Voice search optimization, sales, and marketing alignment, cost-effective strategies, and advancements in AI technologies contribute to the market's dynamic growth. As businesses strive for innovation and competitive edge, AI in marketing continues to shape the future of data-driven and efficient marketing strategies.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of ai in marketing. The growth and trends of ai in marketing industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the ai in marketing market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Component

Software
Services

By Application

Search Engine Marketing
Social Media Advertising
Virtual Assistant
Sales & Marketing Automation
Analytics Platform
Content Curation
Others

By Technology

Natural Language Processing
Machine Learning
Computer Vision
Others

By Industry Vertical

Consumer Goods
BFSI
Media & Entertainment
IT & Telecommunications
Retail
Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the AI In Marketing market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the AI In Marketing market include NVIDIA Corporation, Google, Microsoft, IBM, Salesforce, Qualcomm, Intel Corporation, Samsung, Micron Technology Inc., Amazon Web Services, Inc. Apple Inc., Next IT Corp., Facebook, Siemens, General Electric, Oracle, Enlitic Inc., Xilinx. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR112113507

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . AI IN MARKETING - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Component
- 3.7.2 Market Attractiveness Analysis By Application
- 3.7.3 Market Attractiveness Analysis By Technology
- 3.7.4 Market Attractiveness Analysis By Industry Vertical
- 3.7.5 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . GLOBAL AI IN MARKETING MARKET ANALYSIS BY COMPONENT

5.1 Overview by Component
5.2 Historical and Forecast Data
5.3 Analysis by Component
5.4 Software Historic and Forecast Sales by Regions
5.5 Services Historic and Forecast Sales by Regions

6 . GLOBAL AI IN MARKETING MARKET ANALYSIS BY APPLICATION

6.1 Overview by Application
6.2 Historical and Forecast Data
6.3 Analysis by Application
6.4 Search Engine Marketing Historic and Forecast Sales by Regions
6.5 Social Media Advertising Historic and Forecast Sales by Regions
6.6 Virtual Assistant Historic and Forecast Sales by Regions
6.7 Sales & Marketing Automation Historic and Forecast Sales by Regions
6.8 Analytics Platform Historic and Forecast Sales by Regions
6.9 Content Curation Historic and Forecast Sales by Regions
6.10. Others Historic and Forecast Sales by Regions

7 . GLOBAL AI IN MARKETING MARKET ANALYSIS BY TECHNOLOGY

7.1 Overview by Technology
7.2 Historical and Forecast Data
7.3 Analysis by Technology
7.4 Natural Language Processing Historic and Forecast Sales by Regions
7.5 Machine Learning Historic and Forecast Sales by Regions
7.6 Computer Vision Historic and Forecast Sales by Regions
7.7 Others Historic and Forecast Sales by Regions

8 . GLOBAL AI IN MARKETING MARKET ANALYSIS BY INDUSTRY VERTICAL

8.1 Overview by Industry Vertical
8.2 Historical and Forecast Data
8.3 Analysis by Industry Vertical
8.4 Consumer Goods Historic and Forecast Sales by Regions
8.5 BFSI Historic and Forecast Sales by Regions
8.6 Media & Entertainment Historic and Forecast Sales by Regions
8.7 IT & Telecommunications Historic and Forecast Sales by Regions
8.8 Retail Historic and Forecast Sales by Regions
8.9 Others Historic and Forecast Sales by Regions

9 . GLOBAL AI IN MARKETING MARKET ANALYSIS BY GEOGRAPHY

9.1. Regional Outlook
9.2. Introduction
9.3. North America Sales Analysis
- 9.3.1. Overview, Historic and Forecast Data Sales Analysis
- 9.3.2. North America By Segment Sales Analysis
- 9.3.3. North America By Country Sales Analysis
- 9.3.4. United State Sales Analysis
- 9.3.5. Canada Sales Analysis
- 9.3.6. Mexico Sales Analysis
9.4. Europe Sales Analysis
- 9.4.1. Overview, Historic and Forecast Data Sales Analysis
- 9.4.2. Europe by Segment Sales Analysis
- 9.4.3. Europe by Country Sales Analysis
- 9.4.4. United Kingdom Sales Analysis
- 9.4.5. France Sales Analysis
- 9.4.6. Germany Sales Analysis
- 9.4.7. Italy Sales Analysis
- 9.4.8. Russia Sales Analysis
- 9.4.9. Rest Of Europe Sales Analysis
9.5. Asia Pacific Sales Analysis
- 9.5.1. Overview, Historic and Forecast Data Sales Analysis
- 9.5.2. Asia Pacific by Segment Sales Analysis
- 9.5.3. Asia Pacific by Country Sales Analysis
- 9.5.4. China Sales Analysis
- 9.5.5. India Sales Analysis
- 9.5.6. Japan Sales Analysis
- 9.5.7. South Korea Sales Analysis
- 9.5.8. Australia Sales Analysis
- 9.5.9. South East Asia Sales Analysis
- 9.5.10. Rest Of Asia Pacific Sales Analysis
9.6. Latin America Sales Analysis
- 9.6.1. Overview, Historic and Forecast Data Sales Analysis
- 9.6.2. Latin America by Segment Sales Analysis
- 9.6.3. Latin America by Country Sales Analysis
- 9.6.4. Brazil Sales Analysis
- 9.6.5. Argentina Sales Analysis
- 9.6.6. Peru Sales Analysis
- 9.6.7. Chile Sales Analysis
- 9.6.8. Rest of Latin America Sales Analysis
9.7. Middle East & Africa Sales Analysis
- 9.7.1. Overview, Historic and Forecast Data Sales Analysis
- 9.7.2. Middle East & Africa by Segment Sales Analysis
- 9.7.3. Middle East & Africa by Country Sales Analysis
- 9.7.4. Saudi Arabia Sales Analysis
- 9.7.5. UAE Sales Analysis
- 9.7.6. Israel Sales Analysis
- 9.7.7. South Africa Sales Analysis
- 9.7.8. Rest Of Middle East And Africa Sales Analysis

10 . COMPETITIVE LANDSCAPE OF THE AI IN MARKETING COMPANIES

10.1. Ai In Marketing Market Competition
10.2. Partnership/Collaboration/Agreement
10.3. Merger And Acquisitions
10.4. New Product Launch
10.5. Other Developments

11 . COMPANY PROFILES OF AI IN MARKETING INDUSTRY

11.1. Company Share Analysis
11.2. Market Concentration Rate
11.3. NVIDIA Corporation
- 11.3.1. Company Overview
- 11.3.2. Company Revenue
- 11.3.3. Products
- 11.3.4. Recent Developments
11.4. Google
- 11.4.1. Company Overview
- 11.4.2. Company Revenue
- 11.4.3. Products
- 11.4.4. Recent Developments
11.5. Microsoft
- 11.5.1. Company Overview
- 11.5.2. Company Revenue
- 11.5.3. Products
- 11.5.4. Recent Developments
11.6. IBM
- 11.6.1. Company Overview
- 11.6.2. Company Revenue
- 11.6.3. Products
- 11.6.4. Recent Developments
11.7. Salesforce
- 11.7.1. Company Overview
- 11.7.2. Company Revenue
- 11.7.3. Products
- 11.7.4. Recent Developments
11.8. Qualcomm
- 11.8.1. Company Overview
- 11.8.2. Company Revenue
- 11.8.3. Products
- 11.8.4. Recent Developments
11.9. Intel Corporation
- 11.9.1. Company Overview
- 11.9.2. Company Revenue
- 11.9.3. Products
- 11.9.4. Recent Developments
11.10. Samsung
- 11.10.1. Company Overview
- 11.10.2. Company Revenue
- 11.10.3. Products
- 11.10.4. Recent Developments
11.11. Micron Technology Inc.
- 11.11.1. Company Overview
- 11.11.2. Company Revenue
- 11.11.3. Products
- 11.11.4. Recent Developments
11.12. Amazon Web Services
- 11.12.1. Company Overview
- 11.12.2. Company Revenue
- 11.12.3. Products
- 11.12.4. Recent Developments
11.13. Inc. Apple Inc.
- 11.13.1. Company Overview
- 11.13.2. Company Revenue
- 11.13.3. Products
- 11.13.4. Recent Developments
11.14. Next IT Corp.
- 11.14.1. Company Overview
- 11.14.2. Company Revenue
- 11.14.3. Products
- 11.14.4. Recent Developments
11.15. Facebook
- 11.15.1. Company Overview
- 11.15.2. Company Revenue
- 11.15.3. Products
- 11.15.4. Recent Developments
11.16. Siemens
- 11.16.1. Company Overview
- 11.16.2. Company Revenue
- 11.16.3. Products
- 11.16.4. Recent Developments
11.17. General Electric
- 11.17.1. Company Overview
- 11.17.2. Company Revenue
- 11.17.3. Products
- 11.17.4. Recent Developments
11.18. Oracle
- 11.18.1. Company Overview
- 11.18.2. Company Revenue
- 11.18.3. Products
- 11.18.4. Recent Developments
11.19. Enlitic Inc.
- 11.19.1. Company Overview
- 11.19.2. Company Revenue
- 11.19.3. Products
- 11.19.4. Recent Developments
11.20. Xilinx
- 11.20.1. Company Overview
- 11.20.2. Company Revenue
- 11.20.3. Products
- 11.20.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies