세계의 마케팅용 인공지능(AI) 시장 : 제공 내용, 배포 방식, 조직 규모, 용도(컨텐츠 생성, 챗봇, 검색 광고), 최종 사용 산업(소비재, 전자상거래, 소매), 지역별 - 예측(-2031년)

Artificial Intelligence in Marketing Market by Offering, Deployment Mode, Organization Size, Application (Content Generation, Chatbots, Search Advertising), End-use Industry (Consumer Goods, E-commerce, Retail), and Geography-Global Forecast to 2031

The research report titled 'Artificial Intelligence in Marketing Market by Offering, Deployment Mode, Organization Size, Application (Content Generation, Chatbots, Search Advertising), End-use Industry (Consumer Goods, E-commerce, Retail), and Geography-Global Forecast to 2031' from Meticulous Research(R) provides an in-depth analysis of the artificial intelligence in marketing market in five major geographies and focuses on the current market trends, market sizes, market shares, recent developments, and forecasts to 2031.

The artificial intelligence in marketing market is projected to reach $ 112.2 billion by 2031, at a CAGR of 27.9% from 2024 to 2031.

The growth of the artificial intelligence in marketing market is driven by the growing demand for customer-driven marketing and advertising and the rising demand for AI in marketing for content generation. However, the lack of data storage capabilities and processing infrastructure restrain the growth of this market. Moreover, the increasing adoption of cloud-based applications and services and the growing use of Natural Language Processing (NLP) and machine learning for chatbots are expected to generate market growth opportunities. However, concerns over data privacy are a major challenge for market stakeholders. Additionally, the growing use of AI algorithms and tools for predictive analytics is a prominent trend in this market.

The artificial intelligence in marketing market is segmented by offering (solutions and services), deployment mode (cloud-based deployment and on-premise deployment), organization size (large enterprises and small & medium-sized enterprises), application (content generation, chatbots and virtual assistants, sales & marketing automation, predictive analytics, advertising recommendation, search advertising, social media management, and other applications), end-use industry (consumer goods, retail, E-commerce, media & entertainment, BFSI, healthcare, food & hospitality, education, transportation, and other end-use industries), and geography. The study also evaluates industry competitors and analyzes the market at the regional and country levels.

Based on offering, the artificial intelligence in marketing market is segmented into solutions and services. In 2024, the solutions segment is expected to account for the larger share of over 72.0% of the artificial intelligence in marketing market. The large market share of this segment is attributed to the growing demand for customer-driven marketing and advertising, the growing implementation of AI marketing solutions to automate marketing processes, the rising integration of AI into marketing solutions in the consumer goods industry, and the growing need to enhance content and lead generation to better analyze customer preferences, interests, and browsing behavior. Also, this segment is projected to register the higher CAGR during the forecast period.

Based on deployment mode, the artificial intelligence in marketing market is segmented into cloud-based deployment and on-premise deployment. In 2024, the cloud-based deployment segment is expected to account for the larger share of the artificial intelligence in marketing market. The large market share of this segment is attributed to the growing adoption of cloud-based AI solutions to access customer information and analyze data, the rising implementation of cloud-based AI solutions to access real-time data and enhance collaboration with customers, and the increasing need to protect sensitive customer data. Additionally, this segment is also expected to register the higher CAGR during the forecast period.

Based on organization size, the artificial intelligence in marketing market is segmented into large enterprises and small & medium-sized enterprises. In 2024, the large enterprises segment is expected to account for the larger share of over 60.0% of the artificial intelligence in marketing market. The large market share of this segment is attributed to the increasing adoption of AI solutions among large enterprises to offer a personalized customer experience at scale, the growing use of AI in marketing for data-driven decision-making and optimized marketing campaigns, and the rising need to streamline processes, optimize costs, and prevent human error.

However, the small & medium-sized enterprises segment is expected to register the higher CAGR during the forecast period due to SMEs' growing need to streamline marketing without significant resource investment, the increasing adoption of chatbots and virtual assistants among SMEs to enhance customer support and improve customer satisfaction, and the rising adoption of AI solutions among SMEs for automated targeting, lead generation, and social media management.

Based on application, the artificial intelligence in marketing market is segmented into content generation, chatbots and virtual assistants, sales & marketing automation, predictive analytics, advertising recommendation, search advertising, social media management, and other applications. In 2024, the content generation segment is expected to account for the largest share of over 35.0% of the artificial intelligence in marketing market. The large market share of this segment is attributed to the growing adoption of AI solutions to automate the creation of high-quality content, the rising implementation of AI algorithms to better understand audience preferences, the growing use of AI technologies such as natural language processing to enhance the user experience, and the rising implementation of AI in content generation to boost brand visibility and credibility. Additionally, this segment is expected to register the highest CAGR during the forecast period.

Based on end-use industry, the artificial intelligence in marketing market is segmented into consumer goods, retail, E-commerce, media & entertainment, BFSI, healthcare, food & hospitality, education, transportation, and other end-use industries. In 2024, the consumer goods segment is expected to account for the largest share of over 45.0% of the artificial intelligence in marketing market. The large market share of this segment is attributed to the growing adoption of AI solutions in the consumer goods industry to enable data-driven business models and improve consumer experience, the increasing adoption of chatbots to improve in-store automation and enable smarter shopping, and the rising implementation of AI technologies to enable personalized recommendations based on consumer behavior and preferences.

However, the media & entertainment segment is expected to register the highest CAGR during the forecast period due to the growing adoption of AI among media & entertainment businesses to improve operations, enhance the consumer experience and create more personalized content, the increasing use of voice recognition technology to allow consumers to control their entertainment experience hands-free, and the rising adoption of AI-driven animation and character modeling to improve the realism of 3D models in films and video games.

Based on geography, the artificial intelligence in marketing market is segmented into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2024, North America is expected to account for the largest share of over 40.0% of the artificial intelligence in marketing market. Organizations in North America are adopting AI solutions to increase efficiency and productivity and improve consumer experiences. The healthcare industry in North America uses AI to enhance diagnostic processes, predictive analytics, patient care, and drug discovery. Also, AI is increasingly being used in marketing, urban planning, and public safety applications, supporting North America's large share.

However, Asia-Pacific is projected to register the highest CAGR of over 29.0% during the forecast period. The growth of this regional market is driven by the growing adoption of AI for traffic management, data management, and content management, the rising implementation of AI in marketing to gain consumer insights and make data-driven decisions, the rising demand for AI for content generation in the consumer goods industry, and the growing adoption of AI chatbots to enhance customer service and generate personalized recommendations for improved conversions.

The key players operating in the artificial intelligence in marketing market are NVIDIA Corporation (U.S.), Salesforce, Inc. (U.S.), Google LLC (U.S.) (a subsidiary of Alphabet Inc.), Intel Corporation (U.S.), International Business Machines Corporation (U.S.), Microsoft Corporation (U.S.), Amazon.com, Inc. (U.S.), Oracle Corporation (U.S.), Baidu, Inc. (China), Micron Technology, Inc. (U.S.), Xilinx, Inc. (U.S.) (a subsidiary of Advanced Micro Devices, Inc.), Albert Technologies Ltd. (Israel), Appier Inc. (a subsidiary of Appier Group, Inc.), Twitter, Inc. (U.S.), and Persado Holdings Limited (U.S.).

Key Questions Answered in the Report:

• Which are the high-growth market segments in terms of offering, deployment mode, organization size, application, and end-use industry?
• What is the historical market size for artificial intelligence in marketing solutions globally?
• What are the market forecasts and estimates for 2024-2031?
• What are the major drivers, restraints, opportunities, challenges, and trends in the artificial intelligence in marketing market?
• Who are the major players in the artificial intelligence in marketing market, and what are their market shares?
• What is the competitive landscape like?
• What are the recent developments in the artificial intelligence in marketing market?
• What are the growth strategies adopted by major market players?
• What are the key market trends, and which are the high-growth countries?
• Who are the local emerging players in the artificial intelligence in marketing market, and how do they compete with the other players?

Scope of the Report:

Artificial Intelligence in Marketing Market Assessment-by Offering

• Solutions
• Services

Artificial Intelligence in Marketing Market Assessment-by Deployment Mode

• Cloud-based Deployment
• On-premise Deployment

Artificial Intelligence in Marketing Market Assessment-by Organization Size

• Large Enterprises
• Small & Medium-sized Enterprises

Artificial Intelligence in Marketing Market Assessment-by Application

• Content Generation
• Chatbots & Virtual Assistants
• Sales & Marketing Automation
• Predictive Analytics
• Advertising Recommendation
• Search Advertising
• Social Media Management
• Other Applications

Artificial Intelligence in Marketing Market Assessment-by End-use Industry

• Consumer Goods
• Retail
• E-commerce
• Media & Entertainment
• BFSI
• Healthcare
• Food & Hospitality
• Education
• Transportation
• Other End-use Industries

Artificial Intelligence in Marketing Market Assessment-by Geography

• North America
  • U.S.
  • Canada
• Europe
  • Germany
  • U.K.
  • France
  • Italy
  • Spain
  • Rest of Europe (RoE)
• Asia-Pacific (APAC)
  • Japan
  • China
  • India
  • South Korea
  • Singapore
  • Rest of Asia-Pacific (RoAPAC)
• Latin America
  • Mexico
  • Brazil
  • Rest of Latin America (RoLATAM)
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • Israel
• Rest of Middle East & Africa (RoMEA

TABLE OF CONTENTS

1. Introduction

• 1.1 Market Definition & Scope
• 1.2 Currency & Limitations
  • 1.2.1 Currency
  • 1.2.2 Limitations

2. Research Methodology

• 2.1 Research Approach
• 2.2 Process of Data Collection and Validation
  • 2.2.1 Secondary Research
  • 2.2.2 Primary Research/Interviews with Key Opinion Leaders of the Industry
• 2.3 Market Sizing and Forecast
  • 2.3.1 Market Size Estimation Approach
  • 2.3.2 Growth Forecast Approach
• 2.4. Assumptions for the Study

3. Executive Summary

• 3.1 Market Overview
• 3.2 Market Analysis, by Offering
• 3.3 Market Analysis, by Deployment Mode
• 3.4 Market Analysis, by Organization Size
• 3.5 Market Analysis, by Application
• 3.6 Market Analysis, by End-use Industry
• 3.7 Market Analysis, by Geography
• 3.8 Competitive Analysis

4. Market Insights

• 4.1 Overview
• 4.2 Factors Affecting Market Growth
  • 4.2.1 Growing Demand for Customer-driven Marketing and Advertisement
  • 4.2.2 Rising Demand for AI in Marketing for Content Generation
  • 4.2.3 Lack of Data Storage Capability and Processing Infrastructure
  • 4.2.4 Increasing Adoption of Cloud-based Applications and Services
  • 4.2.5 Growing use of Natural Language Processing (NLP) and Machine Learning for Chatbots
  • 4.2.6 Concern Regarding Data Privacy
• 4.3 Trends
  • 4.3.1 Growing use of AI algorithms and tools for Predictive Analytics
• 4.4 Case Studies
  • 4.4.1 Case Study A
  • 4.4.2 Case Study B
  • 4.4.3 Case Study C

5. Artificial Intelligence in Marketing Market Assessment-by Offering

• 5.1 Overview
• 5.2 Solutions
• 5.3 Services

6. Artificial Intelligence in Marketing Market Assessment-by Deployment Mode

• 6.1 Overview
• 6.2 Cloud-based Deployment
• 6.3 On-premise Deployment

7. Artificial Intelligence in Marketing Market Assessment-by Organization Size

• 7.1 Overview
• 7.2 Large Enterprises
• 7.3 Small & Medium-sized Enterprise

8. Artificial Intelligence in Marketing Market Assessment-by Application

• 8.1 Overview
• 8.2 Content Generation
• 8.3 Chatbots and Virtual Assistants
• 8.4 Sales & Marketing Automation
• 8.5 Predictive Analytics
• 8.6 Advertising Recommendation
• 8.7 Search Advertising
• 8.8 Social Media Management
• 8.9 Other Applications

9. Artificial Intelligence in Marketing Market Assessment-by End-use Industry

• 9.1 Overview
• 9.2 Consumer Goods
• 9.3 Retail
• 9.4 E-commerce
• 9.5 Media & Entertainment
• 9.6 BFSI
• 9.7 Healthcare
• 9.8 Food & Hospitality
• 9.9 Education
• 9.10 Transportation
• 9.11 Other End-use Industries

10. Artificial Intelligence in Marketing Market Assessment-by Geography

• 10.1 North America
  • 10.1.1 U.S.
  • 10.1.2 Canada
• 10.2 Europe
  • 10.2.1 Germany
  • 10.2.2 U.K.
  • 10.2.3 France
  • 10.2.4 Italy
  • 10.2.5 Spain
  • 10.2.6 Rest of Europe
• 10.3 Asia-Pacific
  • 10.3.1 Japan
  • 10.3.2 China
  • 10.3.3 India
  • 10.3.4 South Korea
  • 10.3.5 Singapore
  • 10.3.6 Rest of Asia-Pacific
• 10.4 Latin America
• 10.5 Middle East & Africa

11. Competition Analysis

• 11.1 Introduction
• 11.2 Key Growth Strategies
• 11.3 Competitive Benchmarking
• 11.4 Competitive Dashboard
  • 11.4.1 Industry Leaders
  • 11.4.2 Market Differentiators
  • 11.4.3 Vanguards
  • 11.4.4 Emerging Companies
• 11.5 Market Ranking, By Key Player

12. Company Profiles (Company Overview, Financial Overview, Product Portfolio, and Strategic Developments)

• 12.1 NVIDIA Corporation
• 12.2 Salesforce, Inc.
• 12.3 Google LLC (A Subsidiary of Alphabet Inc.)
• 12.4 Intel Corporation
• 12.5 International Business Machines Corporation
• 12.6 Microsoft Corporation
• 12.7 Amazon.com, Inc.
• 12.8 Oracle Corporation
• 12.9 Baidu, Inc.
• 12.10 Micron Technology, Inc.
• 12.12 Xilinx, Inc. (A Subsidiary of Advanced Micro Devices, Inc.)
• 12.12 Albert Technologies Ltd.
• 12.13 Appier Inc. (A Subsidiary of Appier Group, Inc.)
• 12.14 Twitter, Inc.
• 12.15 Persado Holdings Limited

( Note: SWOT Analysis of the Top 5 Companies Will Be Provided )

13. Appendix

• 13.1 Related Reports