In 2024, nearly ** percent of marketing professionals reported a *** time improvement rate in their e-mail marketing campaigns' return on investment (ROI) rates. Another **** percent marked a ***** times larger ROI rate, whereas **** percent of marketers noticed no ROI improvement.

As of April 18, 2024, the United States was the country with the highest number of emails sent daily, with almost ten billion. Germany and Ireland followed, with 8.5 billion and 8.4 billion emails daily, respectively. Overall, the Netherlands, the United Kingdom, and France each had 8.3 billion emails sent per day. As of December 2023, over 241 million emails were sent worldwide within one minute.

As of June 2024, approximately ** percent of marketing decision-makers surveyed worldwide included email marketing among the areas in which data-driven marketing was the most useful. Customer experience and paid advertising followed, mentioned by ** and ** percent of respondents, respectively. The success of data-reliant marketing The same study revealed that around ** percent of responding marketing professionals rated their data-driven strategies somewhat successful. Approximately ** percent said they were very successful, while **** percent deemed them ineffective. Moreover, almost half of the marketers used artificial intelligence (AI) in their data-driven efforts moderately or extensively. Only *********** reported not utilizing AI. Data-driven tactics' top challenges During that survey, marketers chose the leading challenges for executing a data-driven strategy: Targeting segmented audiences and making decisions in real time topped the ranking, respectively mentioned by ** and ** percent of respondents. Both elements are key to achieving the desired return on investment (ROI) for ad campaigns worldwide.

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Artificial Intelligence In Marketing Size 2024-2028

The artificial intelligence in marketing size is forecast to increase by USD 41.02 billion, at a CAGR of 30.9% between 2023 and 2028.

The Artificial Intelligence (AI) market in marketing is experiencing significant growth, driven by the increasing adoption of cloud-based applications and services. This shift towards cloud solutions enables businesses to leverage AI technologies more efficiently and cost-effectively, enhancing their marketing capabilities. Furthermore, the ongoing digitalization and expanding internet penetration are fueling the demand for AI solutions in marketing, as companies seek to engage with customers more effectively in the digital space. However, the market's growth is not without challenges. The lack of skilled professionals poses a significant obstacle to wider AI adoption in marketing.
As AI applications become more complex, the need for specialized expertise in areas such as machine learning, data analytics, and programming grows. Companies must invest in upskilling their workforce or partner with external experts to overcome this challenge and fully capitalize on the opportunities presented by AI in marketing.

What will be the Size of the Artificial Intelligence In Marketing during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2018-2022 and forecasts 2024-2028 - in the full report.
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Artificial intelligence (AI) continues to reshape marketing landscapes, with dynamic market activities unfolding across various sectors. Machine learning models optimize digital marketing strategies, enabling predictive analytics for marketing ROI and customer engagement. Brands build stronger connections through AI-powered personalization and sentiment analysis. Data privacy regulations necessitate transparency and accountability, influencing marketing technology stacks and Data Security measures. A/B testing and conversion rate optimization are enhanced through AI-driven insights, while marketing automation workflows streamline customer relationship management. Marketing analytics software and dashboards provide data-driven insights, enabling marketing budget allocation and multi-channel marketing strategies. Behavioral targeting and customer journey mapping are refined through AI, enhancing marketing attribution models and email marketing automation.

Virtual assistants and chatbots facilitate seamless customer experiences, while marketing automation platforms optimize search engine optimization, pay-per-click advertising, and social media advertising. Natural language processing and AI marketing consultants aid content marketing strategies, ensuring algorithmic bias and ethical AI considerations remain at the forefront. Marketing dynamics remain in a constant state of evolution, with AI-driven innovations continuing to transform the industry. Data Governance, marketing attribution models, and programmatic advertising are among the many areas where AI is making an impact. The ongoing integration of AI into marketing technologies and strategies ensures a continuously adaptive and effective marketing landscape.

How is this Artificial Intelligence Ining Industry segmented?

The artificial intelligence ining industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Deployment

  On-premises
  Cloud


Application

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


Technology

  Machine Learning
  Natural Language Processing
  Computer Vision
  Others


Geography

  North America

    US
    Canada


  Europe

    Germany
    UK


  APAC

    China
    Japan
    Australia
    India


  South America

    Brazil
    Argentina


  Middle East and Africa

    UAE


  Rest of World (ROW)

By Deployment Insights

The on-premises segment is estimated to witness significant growth during the forecast period.

Artificial Intelligence (AI) is revolutionizing marketing, with machine learning models at its core. Brands are building stronger connections with consumers through AI-driven personalization and predictive analytics. A/B testing and marketing analytics software enable data-driven insights, while conversion rate optimization and marketing automation workflows streamline campaigns. Data privacy regulations ensure transparency and accountability, shaping marketing strategies. Behavioral targeting and sentiment analysis provide deeper customer understanding, enhancing customer engagement. Predictive analytics and marketing ROI are key performance indicators, driving marketing budget

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Cloud Advertising Market Size 2024-2028

The cloud advertising market size is forecast to increase by USD 380.3 billion at a CAGR of 21.23% between 2023 and 2028. The market is experiencing significant growth due to the increasing adoption of cloud services and the shift from traditional to online advertising. Customer experience and brand loyalty are key priorities for businesses in the era of Internet commerce, leading them to explore advanced marketing strategies utilizing cloud-based advertising platforms. Data science and machine learning are integral components of these platforms, enabling personalized targeting and real-time campaign optimization. Moreover, artificial intelligence (AI) and machine learning-driven mobile SaaS and app-based solutions are gaining traction, offering agility and flexibility to marketers. However, data security concerns persist, necessitating strong security measures to protect sensitive customer information.

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The market is witnessing significant growth as organizations increasingly adopt cloud-based solutions to enhance their digital advertising strategies. This shift is driven by the need for advanced consumer and customer analytics, which are crucial for effective omnichannel brand interactions. Cloud advertising services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), enable businesses to store, process, and analyze large volumes of data in real-time. This capability is essential for data-driven marketing campaigns that leverage big data from various sources, such as social media, email marketing, in-app marketing, and company websites.

Furthermore, private cloud and hybrid cloud solutions are popular choices for organizations due to their enhanced security features and flexibility. Data warehouse solutions integrated with cloud advertising platforms offer advanced data analytics capabilities, enabling businesses to gain valuable insights into consumer behavior and preferences. Artificial intelligence (AI) and machine learning (ML) technologies are integral to cloud advertising services. These technologies enable automated targeting, personalized messaging, and real-time optimization, resulting in improved campaign performance and higher ROI. The market segmentation by organization size reveals that mid-sized and large enterprises dominate the market. These organizations have larger marketing budgets and a greater need for advanced analytics capabilities to manage complex digital advertising campaigns.

Market Segmentation

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

End-user

  Retail
  Media and entertainment
  IT and telecom
  BFSI
  Others


Deployment

  Private
  Public
  Hybrid


Geography

  North America

    US


  Europe

    Germany
    UK


  APAC

    China
    India


  Middle East and Africa



  South America

By End-user Insights

The retail segment is estimated to witness significant growth during the forecast period. In today's digital age, retail businesses are increasingly focusing on providing customer-centric experiences to stay competitive. With growing consumer spending power, the retail sector is poised for significant expansion. Traditionally, shoppers would visit physical stores to make purchases, but now they can access a vast array of goods online using mobile devices. Before making a purchase, consumers compare prices, read product reviews, and explore competitors' offerings. To attract customers to their brick-and-mortar stores, retailers employ various marketing strategies. However, managing customer data in large quantities is a challenge for these organizations. Hybrid environments, serverless architecture, and containers are becoming increasingly popular in the retail cloud market to address these data management issues.

Furthermore, cloud advertising services, such as programmatic advertising, are being adopted to reach potential customers more effectively. In the SaaS market, these solutions offer cost savings, flexibility, and scalability. However, data security concerns and strict cloud restrictions remain significant challenges. Retailers must ensure that their cloud solutions provide strong security measures to protect sensitive customer information. In conclusion, the retail industry's shift towards digital transformation has created a need for advanced cloud solutions. Hybrid environments, serverless architecture, and containers are key technologies driving growth in the retail cloud market. Cloud advertising services, such as programmatic advertising, offer retailers an effective way to reach potential customers. However, data security and cloud restrictions rema