Artificial Intelligence in Marketing Market

Artificial Intelligence in Marketing Market Outlook

According to a new report by Expert Market Research titled, “Artificial Intelligence in Marketing Market Price, Share, Analysis, Report and Forecast 2024-2032″, the artificial intelligence in marketing market attained a value of USD 19.36 billion in 2023. Aided by the growing demand for data-driven marketing strategies and expanding applications of AI across various sectors, the market is anticipated to grow at a CAGR of 21.40% during the forecast period of 2024-2032 to attain a value of USD 64.31 billion by 2032.

AI has become a significant player in marketing as it provides valuable insights into customer behaviour, predicts future trends, and automates repetitive tasks, freeing up time for marketers to focus on strategy and creativity. AI applications in marketing range from chatbots providing customer service to complex algorithms that analyse customer data for hyper-personalised marketing campaigns.

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The primary driver of the global artificial intelligence in marketing market growth is the increasing demand for data-driven marketing strategies. With the rise of digital platforms, businesses have access to massive amounts of customer data. Harnessing the power of this data through AI allows for more targeted and effective marketing strategies. As the benefits of data-driven marketing become more apparent, demand for AI in marketing is expected to grow exponentially.

In addition to this, the growth in the adoption of AI in various industries is boosting the artificial intelligence in marketing market expansion. Sectors such as e-commerce, automotive, healthcare, and banking are increasingly integrating AI into their marketing efforts to provide personalised experiences, enhance customer service, and increase overall efficiency. The trend of adopting AI across industries is expected to further boost the market.

The artificial intelligence in marketing market demand is also propelled by advancements in technology. The introduction of technologies such as machine learning, natural language processing, and predictive analytics in marketing has led to improved customer experiences and increased return on investment (ROI) for businesses. As technological advancements continue, the application of AI in marketing is likely to become even more widespread and sophisticated.

Furthermore, the COVID-19 pandemic has had a significant impact on the artificial intelligence in marketing market development. As more businesses shifted online due to lockdown restrictions, the need for effective digital marketing strategies has increased. AI has played a crucial role in meeting this need by providing businesses with the tools to connect with their customers in meaningful ways despite the physical distance.

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Artificial Intelligence in Marketing Market Segmentation

The market can be divided based on offering, deployment, technology, application, end use, and region.

Market Breakup by Offering

  • Hardware
  • Software
  • Services

Market Breakup by Deployment

  • Cloud
  • On-Premises

Market Breakup by Technology

  • Deep Learning
  • Machine Learning
  • Context Aware Computing
  • Natural Language Processing
  • Computer Vision

Market Breakup by Application

  • Social Media Advertising
  • Sales and Marketing Automation
  • Content Curation
  • Virtual Assistant
  • Web and App Personalisation
  • Search Advertising
  • Analytics
  • Voice Search
  • Others

Market Breakup by End Use

  • BFSI
  • Retail
  • Enterprise
  • Consumer Goods
  • Media and Entertainment
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Competitive Landscape

The EMR report looks into the market shares, plant turnarounds, capacities, investments, and acquisitions and mergers, among other major developments, of the global artificial intelligence in marketing companies. Some of the major key players explored in the report by Expert Market Research are as follows:

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

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