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2021 Artificial Intelligence in Marketing Market Trending Technologies with 31.6% off CAGR by 2028 – CognitiveScale SAS Institute, SAP SE, Salesforce.com, Oracle Corporation

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2021 Artificial Intelligence in Marketing Market Trending Technologies with 31.6% off CAGR by 2028 – CognitiveScale SAS Institute, SAP SE, Salesforce.com, Oracle Corporation

May 05
19:38 2021
2021 Artificial Intelligence in Marketing Market Trending Technologies with 31.6% off CAGR by 2028 - CognitiveScale SAS Institute, SAP SE, Salesforce.com, Oracle Corporation

The Insight Partners
According to our new market research study on “Artificial Intelligence in Marketing Market to 2028 – COVID-19 Impact and Global Analysis – by Offering, Application, End-Use Industry, and Geography,” ,” the market was valued at US$ 12,044.46 million in 2020 and is projected to reach US$ 107,535.57 million by 2028; it is expected to grow at a CAGR of 31.6% during 2021–2028.

Rising adoption of customer-centric marketing strategies and increasing use of social media for advertising are among the factors contributing to the growth. However, limited availability of working professionals with expertise in AI restrains the growth of the artificial intelligence in marketing market. Nevertheless, surge in the adoption of cloud-based applications and services creates significant opportunities for vendors operating in artificial intelligence in marketing market.

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Cloud computing is lowering the entry barriers for smaller companies seeking to gain profits from compute-intensive business analytics, which was earlier considered as feasible option for large corporations only. Smaller companies are increasingly gaining access to AI. These cloud-based AI solutions effectively allow and escalate the adoption of AI. Cloud-based applications and services can provide users with immediate access to hardware services with no upfront capital investments, resulting in a faster time to market in many industries. Hence, the cloud has become an adaptable infrastructure that can be shared by different end users that may use it in different ways. Overall, the cloud-based applications and services lowered costs, defined services, and reduced risks, along with providing easy access to the latest technologies. Google Cloud Machine Learning Platform, Google Cloud Vision API, Lex – the technology behind Amazon Alexa, Microsoft Azure, and IBM Bluemix are among the common examples of cloud-based AI services. The most valuable aspect of these services is they enable ready-to-use platforms for improving existing products and processes. Thus, the growth in adoption of cloud-based applications and services is serving as an opportunity for the artificial intelligence in marketing market players.

Rising Adoption of Customer-Centric Marketing Strategies

Many companies, regardless of the industry where they belong, are concentrating on developing long-term, mutually beneficial relationships with their customers, to survive in the rapidly growing competition in the global marketplace. In recent years, customer engagement strategies and actions have shifted from being product-driven to being more customer-centric Customer-centricity enables companies to better understand their customers and predict, as well as address their needs, at any time. It is proved that companies that have successfully shifted to customer-centric engagement, enjoy a major competitive advantage and growth in sales and revenue. According to the Harvard Business Review, more than a third of Fortune 500 companies have reformed around the customer, using preferences, segments, and journeys as the guiding concepts. Nonetheless, many of the high-ranking brands in recent years have successfully adopted customer-centricity. In the US, popular customer-centric companies include American Express, Tumi, and USAA. Traditional models are being discontinued by airlines such as Emirates, Air New Zealand, and Singapore Airlines to switch to new advertising formats. Customer-centricity is a business strategy that emphasizes on providing an excellent customer experience both before and after the purchase to create opportunities of order repetition, along with increasing customer loyalty and fueling business development. For instance, Zappos and Amazon are two outstanding examples of customer-centric companies that have spent decades developing a culture that revolves around customers and their preferences.

The COVID-19 outbreak has been affecting every business globally since December 2019. The continuous and vigorous growth in the number of infected patients has led governments to put a bar on transportation of humans and goods. However, a rise in the adoption of private 5G and LTE networks is expected amid the pandemic. Data consumption is expected to grow with social distancing norms in effect in the B2C and other consumer operations. Also, the enterprises have started shifting to digital models and virtual operations, which has further boosted the rate of data consumption, thus creating demand for the establishment of connectivity-centric ecosystems.

Strategic Insights

The key artificial intelligence in marketing market players—such as IBM, Amazon Web Services, Salesforce, Adobe, and Accenture—have been adopting several organic and inorganic strategies to enhance their revenue and market standings. For instance, in January 2021, Appier launched ARTIFICIAL INTELLIGENCEXPERT, an ARTIFICIAL INTELLIGENCE-powered app-based advertising assistant that helps marketers to easily scale their performance of sales campaigns through campArtificial Intelligencegns. Through its apps, ARTIFICIAL INTELLIGENCEXPERT enables the automation of budget allocation across major advertising platforms such as Facebook, Google, and Apple Search Ads (ASA) as well as assists in making better decisions with ARTIFICIAL INTELLIGENCE-based suggestions.

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