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Artificial Intelligence in Marketing Market

Global Artificial Intelligence in Marketing Market Size, Share, Growth, Forecast: By Offering: Hardware, Software, Services; By Deployment: Cloud, On-Premises; By Technology: Deep Learning, Machine Learning, Context Aware Computing; By Application; By End Use; Regional Analysis; Market Dynamics; Competitive Landscape; 2024-2032

Global Artificial Intelligence in Marketing Market Outlook

The global artificial intelligence in marketing market size reached around USD 23.50 billion in 2023. The market is estimated to grow at a CAGR of 22.0% between 2024 and 2032, reaching a value of nearly USD 139.69 billion by 2032.

 

Key Trends in the Market

Artificial intelligence is one of the leading and widely adopted technologies in the world. In marketing, artificial intelligence is utilised to automate decision-making through the analysis of large databases and additional observations of various audience behaviours and market trends. Some of the most known AI marketing tools include chatbots, personal assistants, recommendation engines, and image recognition, among others.

 

Global Artificial Intelligence in Marketing Market

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  • The increasing shift toward digitisation in various sectors is a major trend propelling the artificial intelligence in marketing market growth. Due to the rising popularity of the Internet of Things (IoT) and various technologies, organisations are increasingly adopting advanced technologies to maximise their efficiency and expand their presence in the digital sector.
  • Deep learning, a subset of AI, has been a significant factor aiding the market. Deep neural networks have achieved remarkable results in various domains such as natural language processing and recommendation systems, among others, which increases the deployment of artificial intelligence in marketing.
  • The rising importance and implementation of customer-centric marketing strategies have been significant global artificial intelligence in marketing market drivers. Companies around the world are increasingly focusing on building strong customer relationships in order to thrive amid the rising competition in the marketing sector. Artificial intelligence provides a great way to enhance a company’s understanding of its customer base and take effective actions to retain its loyalty.

 

Market Analysis

Based on the offering, the market is segmented into hardware, software, and services. Based on deployment, the market can be bifurcated into cloud and on-premises. Based on technology, the market is divided into deep learning, machine learning, context aware computing, natural language processing, and computer vision.

 

Global Artificial Intelligence in Marketing Market

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The artificial intelligence in marketing market, based on application, is categorised into social media advertising, sales and marketing automation, content curation, virtual assistant, web and app personalisation, search advertising, analytics, and voice search, among others. The market divisions on the basis of end use include BFSI, retail, enterprise, consumer goods, and media and entertainment, among others. The major regional markets for artificial intelligence in marketing are North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.

 

The comprehensive EMR report provides an in-depth assessment of the market based on Porter's five forces model along with giving a SWOT analysis. The report gives a detailed analysis of the following key players in the global artificial intelligence in marketing market, covering their competitive landscape and the latest developments like mergers, acquisitions, investments and expansion plans.

 

  • IBM Corporation
  • Google LLC
  • Salesforce, Inc.
  • Quantcast Corp.
  • Appier Inc.
  • Sentient.io Pte. Ltd.
  • Meta Platforms, Inc.
  • Amazon Web Services, Inc.
  • PM AM Corporation
  • Microsoft Corporation
  • Adobe Inc.
  • Others

 

Market Share by Deployment

The cloud segment is expected to register a healthy growth during the forecast period. Cloud in artificial intelligence refers to services related to AI provided on cloud servers that are accessible through the internet. The growth of the segment can be attributed to various benefits provided by this type of service, including improved accessibility, affordability, scalability, and easier deployment process compared to on-premises solutions.

 

Global Artificial Intelligence in Marketing Market

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Market Share by Application

Virtual assistants hold a significant market share due to their increasing adoption in different business sectors. A virtual assistant provides multiple benefits to customer care services such as increased interaction with the customer.

 

Moreover, virtual voice assistants can further enhance a company’s proficiency by handling frequently asked questions from customers. They are widely incorporated in customer services and sales interactions in various business settings.

 

Competitive Landscape

Google LLC is one of the most prominent software development companies in the world. Established in 1998 and based in the United States, the company has extensive experience in various technological fields such as artificial intelligence, computer software, online advertising, e-commerce, search engine technology, cloud computing, consumer electronics, and quantum computing, among others.

 

Salesforce, Inc. is one the leading cloud-based software development companies, headquartered in California, the United States. Since the founding of the company in 1999, it has developed its platform for enterprise cloud computing and customer relationship management. Its software is considered to be one of the best to help businesses communicate with their customers.

 

Quantcast Corp. is an international company engaged in developing digital advertising technologies that are utilised for audience measurement and real-time advertising. The company’s foundation dates back to the year 2006 and its headquarter is located in California, the United States. Quantcast provides various solutions and services to help businesses better understand their online audience and optimise their digital advertising strategies.

 

Other market players include IBM Corporation, Appier Inc., Sentient.io Pte. Ltd., Meta Platforms, Inc., Amazon Web Services, Inc., PM AM Corporation, Microsoft Corporation, and Adobe Inc., among others.

 

Key Highlights of the Report

REPORT FEATURES DETAILS
Base Year 2023
Historical Period 2018-2023
Forecast Period 2024-2032
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Offering
  • Deployment
  • Technology
  • Application
  • End Use
Breakup by Offering
  • Hardware
  • Software
  • Services
Breakup by Deployment
  • Cloud
  • On-Premises
Breakup by Technology
  • Deep Learning
  • Machine Learning
  • Context Aware Computing
  • Natural Language Processing
  • Computer Vision
Breakup by Application
  • Social Media Advertising
  • Sales and Marketing Automation
  • Content Curation
  • Virtual Assistant
  • Web and App Personalisation
  • Search Advertising
  • Analytics
  • Voice Search
  • Others
Breakup by End Use
  • BFSI
  • Retail
  • Enterprise
  • Consumer Goods
  • Media and Entertainment
  • Others
Breakup by Region
  • North America
    • United States of America 
    • Canada
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Others
  • Asia Pacific
    • China
    • Japan
    • India
    • ASEAN
    • Australia
    • Others
  • Latin America
    • Brazil
    • Argentina
    • Mexico
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • United Arab Emirates
    • Nigeria
    • South Africa
    • Others
Market Dynamics
  • SWOT
  • Porter's Five Forces
  • Key Indicators for Demand
  • Key Indicators for Price
Competitive Landscape
  • Market Structure
  • Company Profiles
    • Company Overview
    • Product Portfolio
    • Demographic Reach and Achievements
    • Certifications
Companies Covered
  • IBM Corporation
  • Google LLC
  • Salesforce, Inc.
  • Quantcast Corp.
  • Appier Inc.
  • Sentient.io Pte. Ltd.
  • Meta Platforms, Inc.
  • Amazon Web Services, Inc.
  • PM AM Corporation
  • Microsoft Corporation
  • Adobe Inc.
  • Others

 

*At Expert Market Research, we strive to always give you current and accurate information. The numbers depicted in the description are indicative and may differ from the actual numbers in the final EMR report.

1    Preface
2    Report Coverage – Key Segmentation and Scope
3    Report Description

    3.1    Market Definition and Outlook
    3.2    Properties and Applications
    3.3    Market Analysis
    3.4    Key Players
4    Key Assumptions
5    Executive Summary

    5.1    Overview
    5.2    Key Drivers
    5.3    Key Developments
    5.4    Competitive Structure
    5.5    Key Industrial Trends
6    Market Snapshot
    6.1    Global
    6.2    Regional
7    Opportunities and Challenges in the Market
8    Global Artificial Intelligence in Marketing Market Analysis

    8.1    Key Industry Highlights
    8.2    Global Artificial Intelligence in Marketing Historical Market (2018-2023) 
    8.3    Global Artificial Intelligence in Marketing Market Forecast (2024-2032)
    8.4    Global Artificial Intelligence in Marketing Market by Offering
        8.4.1    Hardware
            8.4.1.1    Historical Trend (2018-2023) 
            8.4.1.2    Forecast Trend (2024-2032)
        8.4.2    Software
            8.4.2.1    Historical Trend (2018-2023) 
            8.4.2.2    Forecast Trend (2024-2032)
        8.4.3    Services
            8.4.3.1    Historical Trend (2018-2023) 
            8.4.3.2    Forecast Trend (2024-2032)
    8.5    Global Artificial Intelligence in Marketing Market by Deployment
        8.5.1    Cloud
            8.5.1.1    Historical Trend (2018-2023) 
            8.5.1.2    Forecast Trend (2024-2032)
        8.5.2    On-Premises
            8.5.2.1    Historical Trend (2018-2023) 
            8.5.2.2    Forecast Trend (2024-2032)
    8.6    Global Artificial Intelligence in Marketing Market by Technology
        8.6.1    Deep Learning
            8.6.1.1    Historical Trend (2018-2023) 
            8.6.1.2    Forecast Trend (2024-2032)
        8.6.2    Machine Learning
            8.6.2.1    Historical Trend (2018-2023) 
            8.6.2.2    Forecast Trend (2024-2032)
        8.6.3    Context Aware Computing
            8.6.3.1    Historical Trend (2018-2023) 
            8.6.3.2    Forecast Trend (2024-2032)
        8.6.4    Natural Language Processing
            8.6.4.1    Historical Trend (2018-2023) 
            8.6.4.2    Forecast Trend (2024-2032)
        8.6.5    Computer Vision
            8.6.5.1    Historical Trend (2018-2023) 
            8.6.5.2    Forecast Trend (2024-2032)
    8.7    Global Artificial Intelligence in Marketing Market by Application
        8.7.1    Social Media Advertising
            8.7.1.1    Historical Trend (2018-2023) 
            8.7.1.2    Forecast Trend (2024-2032)
        8.7.2    Sales and Marketing Automation
            8.7.2.1    Historical Trend (2018-2023) 
            8.7.2.2    Forecast Trend (2024-2032)
        8.7.3    Content Curation
            8.7.3.1    Historical Trend (2018-2023) 
            8.7.3.2    Forecast Trend (2024-2032)
        8.7.4    Virtual Assistant
            8.7.4.1    Historical Trend (2018-2023) 
            8.7.4.2    Forecast Trend (2024-2032)
        8.7.5    Web and App Personalisation
            8.7.5.1    Historical Trend (2018-2023) 
            8.7.5.2    Forecast Trend (2024-2032)
        8.7.6    Search Advertising
            8.7.6.1    Historical Trend (2018-2023) 
            8.7.6.2    Forecast Trend (2024-2032)
        8.7.7    Analytics
            8.7.7.1    Historical Trend (2018-2023) 
            8.7.7.2    Forecast Trend (2024-2032)
        8.7.8    Voice Search
            8.7.8.1    Historical Trend (2018-2023) 
            8.7.8.2    Forecast Trend (2024-2032)
        8.7.9    Others
    8.8    Global Artificial Intelligence in Marketing Market by End Use
        8.8.1    BFSI
            8.8.1.1    Historical Trend (2018-2023) 
            8.8.1.2    Forecast Trend (2024-2032)
        8.8.2    Retail 
            8.8.2.1    Historical Trend (2018-2023) 
            8.8.2.2    Forecast Trend (2024-2032)
        8.8.3    Enterprise
            8.8.3.1    Historical Trend (2018-2023) 
            8.8.3.2    Forecast Trend (2024-2032)
        8.8.4    Consumer Goods
            8.8.4.1    Historical Trend (2018-2023) 
            8.8.4.2    Forecast Trend (2024-2032)
        8.8.5    Media and Entertainment
            8.8.5.1    Historical Trend (2018-2023) 
            8.8.5.2    Forecast Trend (2024-2032)
        8.8.6    Others
    8.9    Global Artificial Intelligence in Marketing Market by Region
        8.9.1    North America
            8.9.1.1    Historical Trend (2018-2023) 
            8.9.1.2    Forecast Trend (2024-2032)
        8.9.2    Europe
            8.9.2.1    Historical Trend (2018-2023) 
            8.9.2.2    Forecast Trend (2024-2032)
        8.9.3    Asia Pacific
            8.9.3.1    Historical Trend (2018-2023) 
            8.9.3.2    Forecast Trend (2024-2032)
        8.9.4    Latin America
            8.9.4.1    Historical Trend (2018-2023) 
            8.9.4.2    Forecast Trend (2024-2032)
        8.9.5    Middle East and Africa
            8.9.5.1    Historical Trend (2018-2023) 
            8.9.5.2    Forecast Trend (2024-2032)
9    North America Artificial Intelligence in Marketing Market Analysis
    9.1    United States of America 
        9.1.1    Historical Trend (2018-2023) 
        9.1.2    Forecast Trend (2024-2032)
    9.2    Canada
        9.2.1    Historical Trend (2018-2023) 
        9.2.2    Forecast Trend (2024-2032)
10    Europe Artificial Intelligence in Marketing Market Analysis
    10.1    United Kingdom
        10.1.1    Historical Trend (2018-2023) 
        10.1.2    Forecast Trend (2024-2032)
    10.2    Germany
        10.2.1    Historical Trend (2018-2023) 
        10.2.2    Forecast Trend (2024-2032)
    10.3    France
        10.3.1    Historical Trend (2018-2023) 
        10.3.2    Forecast Trend (2024-2032)
    10.4    Italy
        10.4.1    Historical Trend (2018-2023) 
        10.4.2    Forecast Trend (2024-2032)
    10.5    Others
11    Asia Pacific Artificial Intelligence in Marketing Market Analysis
    11.1    China
        11.1.1    Historical Trend (2018-2023) 
        11.1.2    Forecast Trend (2024-2032)
    11.2    Japan
        11.2.1    Historical Trend (2018-2023) 
        11.2.2    Forecast Trend (2024-2032)
    11.3    India
        11.3.1    Historical Trend (2018-2023) 
        11.3.2    Forecast Trend (2024-2032)
    11.4    ASEAN
        11.4.1    Historical Trend (2018-2023) 
        11.4.2    Forecast Trend (2024-2032)
    11.5    Australia
        11.5.1    Historical Trend (2018-2023) 
        11.5.2    Forecast Trend (2024-2032)
    11.6    Others
12    Latin America Artificial Intelligence in Marketing Market Analysis
    12.1    Brazil
        12.1.1    Historical Trend (2018-2023) 
        12.1.2    Forecast Trend (2024-2032)
    12.2    Argentina
        12.2.1    Historical Trend (2018-2023) 
        12.2.2    Forecast Trend (2024-2032)
    12.3    Mexico
        12.3.1    Historical Trend (2018-2023) 
        12.3.2    Forecast Trend (2024-2032)
    12.4    Others
13    Middle East and Africa Artificial Intelligence in Marketing Market Analysis
    13.1    Saudi Arabia
        13.1.1    Historical Trend (2018-2023) 
        13.1.2    Forecast Trend (2024-2032)
    13.2    United Arab Emirates
        13.2.1    Historical Trend (2018-2023) 
        13.2.2    Forecast Trend (2024-2032)
    13.3    Nigeria
        13.3.1    Historical Trend (2018-2023) 
        13.3.2    Forecast Trend (2024-2032)
    13.4    South Africa
        13.4.1    Historical Trend (2018-2023) 
        13.4.2    Forecast Trend (2024-2032)
    13.5    Others
14    Market Dynamics
    14.1    SWOT Analysis
        14.1.1    Strengths
        14.1.2    Weaknesses
        14.1.3    Opportunities
        14.1.4    Threats
    14.2    Porter’s Five Forces Analysis
        14.2.1    Supplier’s Power
        14.2.2    Buyer’s Power
        14.2.3    Threat of New Entrants
        14.2.4    Degree of Rivalry
        14.2.5    Threat of Substitutes
    14.3    Key Indicators for Demand
    14.4    Key Indicators for Price
15    Competitive Landscape
    15.1    Market Structure
    15.2    Company Profiles
        15.2.1    IBM Corporation
            15.2.1.1    Company Overview
            15.2.1.2    Product Portfolio
            15.2.1.3    Demographic Reach and Achievements
            15.2.1.4    Certifications
        15.2.2    Google LLC
            15.2.2.1    Company Overview
            15.2.2.2    Product Portfolio
            15.2.2.3    Demographic Reach and Achievements
            15.2.2.4    Certifications
        15.2.3    Salesforce, Inc.
            15.2.3.1    Company Overview
            15.2.3.2    Product Portfolio
            15.2.3.3    Demographic Reach and Achievements
            15.2.3.4    Certifications
        15.2.4    Quantcast Corp.
            15.2.4.1    Company Overview
            15.2.4.2    Product Portfolio
            15.2.4.3    Demographic Reach and Achievements
            15.2.4.4    Certifications
        15.2.5    Appier Inc.
            15.2.5.1    Company Overview
            15.2.5.2    Product Portfolio
            15.2.5.3    Demographic Reach and Achievements
            15.2.5.4    Certifications
        15.2.6    Sentient.io Pte. Ltd.
            15.2.6.1    Company Overview
            15.2.6.2    Product Portfolio
            15.2.6.3    Demographic Reach and Achievements
            15.2.6.4    Certifications
        15.2.7    Meta Platforms, Inc.
            15.2.7.1    Company Overview
            15.2.7.2    Product Portfolio
            15.2.7.3    Demographic Reach and Achievements
            15.2.7.4    Certifications
        15.2.8    Amazon Web Services, Inc.
            15.2.8.1    Company Overview
            15.2.8.2    Product Portfolio
            15.2.8.3    Demographic Reach and Achievements
            15.2.8.4    Certifications
        15.2.9    PM AM Corporation
            15.2.9.1    Company Overview
            15.2.9.2    Product Portfolio
            15.2.9.3    Demographic Reach and Achievements
            15.2.9.4    Certifications
        15.2.10    Microsoft Corporation
            15.2.10.1    Company Overview
            15.2.10.2    Product Portfolio
            15.2.10.3    Demographic Reach and Achievements
            15.2.10.4    Certifications
        15.2.11    Adobe Inc.
            15.2.11.1    Company Overview
            15.2.11.2    Product Portfolio
            15.2.11.3    Demographic Reach and Achievements
            15.2.11.4    Certifications
        15.2.12    Others
16    Key Trends and Developments in the Market


List of Key Figures and Tables

1.    Global Artificial Intelligence in Marketing Market: Key Industry Highlights, 2018 and 2032
2.    Global Artificial Intelligence in Marketing Historical Market: Breakup by Offering (USD Billion), 2018-2023
3.    Global Artificial Intelligence in Marketing Market Forecast: Breakup by Offering (USD Billion), 2024-2032
4.    Global Artificial Intelligence in Marketing Historical Market: Breakup by Deployment (USD Billion), 2018-2023
5.    Global Artificial Intelligence in Marketing Market Forecast: Breakup by Deployment (USD Billion), 2024-2032
6.    Global Artificial Intelligence in Marketing Historical Market: Breakup by Technology (USD Billion), 2018-2023
7.    Global Artificial Intelligence in Marketing Market Forecast: Breakup by Technology (USD Billion), 2024-2032
8.    Global Artificial Intelligence in Marketing Historical Market: Breakup by Application (USD Billion), 2018-2023
9.    Global Artificial Intelligence in Marketing Market Forecast: Breakup by Application (USD Billion), 2024-2032
10.    Global Artificial Intelligence in Marketing Historical Market: Breakup by End Use (USD Billion), 2018-2023
11.    Global Artificial Intelligence in Marketing Market Forecast: Breakup by End Use (USD Billion), 2024-2032
12.    Global Artificial Intelligence in Marketing Historical Market: Breakup by Region (USD Billion), 2018-2023
13.    Global Artificial Intelligence in Marketing Market Forecast: Breakup by Region (USD Billion), 2024-2032
14.    North America Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
15.    North America Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
16.    Europe Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
17.    Europe Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
18.    Asia Pacific Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
19.    Asia Pacific Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
20.    Latin America Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
21.    Latin America Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
22.    Middle East and Africa Artificial Intelligence in Marketing Historical Market: Breakup by Country (USD Billion), 2018-2023
23.    Middle East and Africa Artificial Intelligence in Marketing Market Forecast: Breakup by Country (USD Billion), 2024-2032
24.    Global Artificial Intelligence in Marketing Market Structure

Key Questions Answered in the Report

In 2023, the market reached an approximate value of USD 23.50 billion.

The market is projected to grow at a CAGR of 22.0% between 2024 and 2032.

The market is estimated to witness a healthy growth in the forecast period of 2024-2032 to reach around USD 139.69 billion by 2032.

The market is being driven by the increasing competition for customer acquisition among companies and the growing adoption of customer-centric marketing strategies.

The market development is guided by the increasing digitisation in various business sectors and the growing implementation of data analytics and deep learning to enhance marketing processes.

The major regional markets include North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.

The different segments based on technologies of artificial intelligence in marketing include deep learning, machine learning, context aware computing, natural language processing, and computer vision.

The key players in the artificial intelligence in marketing market include IBM Corporation, Google LLC, Salesforce, Inc., Quantcast Corp., Appier Inc., Sentient.io Pte. Ltd., Meta Platforms, Inc., Amazon Web Services, Inc., PM AM Corporation, Microsoft Corporation, and Adobe Inc., among others.

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