Artificial Intelligence in Marketing Smart Strategies of the Research and Development Process

Artificial intelligence in marketing helps the marketers to leverage customer's data to draw important insights like buying behavior of the customer. Artificial Intelligence in marketing makes use of various concepts like machine learning to know the pattern of the consumer which helps the companies to plan their next move accordingly. Artificial Intelligence in marketing is used in various applications such as dynamic pricing, social media advertising, and sales & marketing automation among others. 

The global Artificialintelligence in marketing market is experiencing high demand due to the increasing popularity of social media. Various sectors like BFSI, retail, and consumer goods are using these solutions to gain more revenues. The growing use of social media and the growing popularity of customer-centric marketing strategies are the major factors that are expected to support the growth of artificial intelligence in marketing market whereas data privacy issues are the major factors that are expected to slow down the growth of this market.

What is Artificial Intelligence Marketing?

The evolution of big data and advanced analytic solutions have made it possible for marketers to build a clearer picture of their target audiences than ever before; and in this hotbed of advancement lies artificial intelligence (AI) marketing.

Artificial Intelligence enables marketers to create highly personalized consumer experiences that cost significantly less than traditional high-dollar campaigns.

The artificial intelligence (AI) in marketing market was valued at USD 5.00 Billion in 2017 and is likely to reach USD 40.09 Billion by 2025, at a CAGR of 29.79% during the forecast period.

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The report aims to provide an overview of the global artificial intelligence in marketing market with detailed market segmentation by offering, technology, deployment type, application, industry, and geography. The global artificial intelligence in marketing market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading market players and offers key trends and opportunities in the artificial intelligence in marketing market.

Ways Artificial Intelligence Can Be Used in Marketing

Artificial Intelligence enables marketers to create highly personalized consumer experiences that cost significantly less than traditional high-dollar campaigns.

1. Take Sales Forecasting to the Next Level

AI takes conversion management solutions to the next level. Marketers can now compare sophisticated inbound communication side-by-side against traditional metrics to help answer difficult strategy questions. With AI marketing, there are no longer questions about whether or not a prospect is ready for a discussion, the data provides the answer.

2. Gain a Deeper Understanding of Your Consumers

With AI solutions, marketers know exactly what consumers are thinking, saying, and feeling about the brand in real time. Similarly, with the onslaught of social media available (and the AI to analyze it), marketers can truly understand what customers are feeling. Savvy marketers can harness this data in real-time and then quickly modify messaging or branding for maximum effectiveness.

3. Optimize Digital Advertising Campaigns

While there are various ways to optimize digital advertising and account-based marketing, AI solutions help marketers take them a step further for deeper insight and analysis. AI can tap into the abundance of consumer data hidden in keyword searches, social profiles, and other online data, for smarter and more effective digital ads. The results are human-level outcomes and insights without the manual human labor.

4. Create Detailed Consumer Profiles

consumer profiles. AI solutions provide marketers with deeper knowledge of consumers and prospective clients, enabling them to deliver the right message, to the right person, at the right time. The secret to building a truly comprehensive profile lies in capturing data during every single consumer interaction. Marketers can use AI solutions to take these profiles a step further, refine marketing campaigns, and create highly personalized content.

5. Join Real-Time Conversations with Consumers

One of the advanced capabilities of AI is its ability to analyze large blocks of open content and identify trends. This allows brands to interact directly with consumers in real time through online conversations or events. Communicating with consumers at the precise ‘decision-making moment’ can help directly influence buying decisions. AI helps marketers monitor these social conversations and other open forums to identify any relevant conversations.

Software to hold largest share of AI in marketing market by 2025

AI systems require different types of software, including application program interfaces, such as language, speech, vision, and sensor data, along with machine learning algorithms, to realize various applications for sales and marketing. Software platforms and solutions are available at high costs as there are limited number of experts that develop machine learning algorithms.

Market for cloud deployment to grow at higher CAGR between 2018 and 2025

Migrating to the cloud has benefits such as enhanced flexibility, control, and scalability. Cloud deployment significantly reduces the capital investment required to implement AI-based solutions for marketing and sales; this is one of the major reasons for the increased demand for cloud-based solutions from most enterprises.

The report also focuses on leading industry players with information such as company profiles, products, and services offered, financial information for the last 3 years, a key development in the past five years. Some of the key players influencing the artificial intelligence in marketing market are Amazon, Inc., Albert Technologies Ltd., Facebook, Inc., IBM Corporation, Intel Corporation, Microsoft Corporation, Narrative Science, Samsung Electronics, Sentient Technologies, and Xilinx 

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