The growing need for high computation power, huge volume of data generated each day, cloud-based services, and development in advanced algorithms allows companies to experiment with artificial intelligence (AI) technology. AI uses techniques such as machine learning, deep learning, natural language processing, adaptive learning, and computer vision to analyze the enterprise data and offer detailed insights about the market which helps in making informed decisions for better management of the enterprise.
AI helps in analyzing a large volume of structured and unstructured data and trace meaningful patterns through it which helps in sales forecasting. Predictive analytics offered by AI help marketing enterprises in lead generation and customer acquisition. AI also helps marketers with ad optimization such as media content placement, buying option, advertisement and campaign optimization according to the customer behavioral and usage pattern. With the use of AI-based virtual assistance such as chatbots, digital assistance, recommendation engines, and others, marketing enterprise can offer 24/7 support, manage customer relationship better, and help understand their preference which enhances the customer experience. Increasing demand for digital assistance is expected to drive the growth of AI in marketing.
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- IBM Corporation. (US),
- Google (US),
- Facebook. (US),
- Amazon.com, Inc. (US),
- Intel Corporation (US),
- Microsoft Corporation (US),
- NVIDIA Corporation (US),
- Salesforce.com, Inc. (US),
- Twitter (US),
- Sentient Technologies Holdings Ltd (US).
Other players include Samsung (South Korea), Baidu, Inc. (China), Albert Technologies Ltd (Israel), Oracle Corporation (US), Micron Technology, Inc. (US), H2O.ai (US), and Oculus360 (US) among others.
According to MRFR, The global AI in marketing market is expected to generate a market value of USD 21 billion by 2023 growing at a CAGR of ~ 26%.
Furthermore, using advanced analytics, AI helps in content curation. These include curating on-demand services, advertisements, articles, promotional advertisements, videos according to the preference of the target audience which helps in brand building. Thus, the growing demand for customer-driven marketing and advertisement are further expected to fuel market growth. However, complex algorithms and data privacy concerns are hampering the growth of the market.
The latest trends prevalent in AI in marketing market are social media image recognition, individual personalization, and conversational marketing. With implementing AI for marketing and advertisement, social media image recognition helps in analyzing millions of pictures within no time. Which also helps the markets to understand consumer behavior and offer personalized content to the consumer accordingly. Also, with continuous advancements in AI technology, chatbots, and digital virtual assistants are also being developed which helps in offering more relevant content to the user which helps in enhancing the overall consumer experience.
AI in marketing enhances the customer experience and boosts the enterprise growth by focussing on understanding the customers’ need, customer behavior, managing real-time customer interactions, personalizing customer experience, identifying customers across various channels, and finding the target group. A study by Emarsys and Forrester found that 54% of the retail marketers who were surveyed, were using AI driven personalization across channels to drive their business growth.
Based on deployment, the market is segmented into on-premise and on-cloud deployment. The market for on-cloud deployment is expected to possess a higher growth owing to the cost-effective features offered by cloud-based services such as scalability, flexibility, mobility, and cross-platform support which will help to achieve maximum benefits of AI integrated marketing campaigns.
By technology, the market is segmented into machine learning, adaptive learning, natural language processing, natural language generation, speech recognition, advanced analytics, and computer vision. Advanced analytics help in obtaining detailed business insights and predictive analytics owing to which it is expected to grow at a significant rate
By application, the market is segmented into sales forecasting, content curation, virtual assistance, predictive analytics, Ad optimization, dynamic pricing, and others. Amongst all the applications the market for virtual assistance is expected to lead. Virtual assistance such as chatbots, digital assistance, and recommendation engines are adopted by every enterprise today as they offer 24/7 assistance to the customers which help in enhancing the customer experience.
By vertical, the market is segmented into BFSI, retail & e-commerce, government, IT & telecommunication, healthcare, commercial organization, and others. Commercial organizations are expected to lead the market by using AI applications such as virtual assistance and predictive analytics to obtain detailed insights and enhance its operational performance. Retail & e-commerce is expected to grow at a significant rate due to sales forecasting, ad-optimization, content curation, and other applications offered with the help of AI integration which helps in increasing the sales.
The global market for AI in marketing is estimated to grow at a significant rate during the forecast period from 2018 to 2023. The geographical analysis of the AI in marketing market is done for North America, Europe, Asia-Pacific, and the rest of the world.
North America is expected to dominate the market during the forecast period. The major factor influencing the growth of market in this region is well-established economies like the US, and Canada, that are spending a large share on research and development of AI algorithms and technologies such as machine learning, virtual assistance, natural language processing, and others. Also, increasing adoption of social media platforms to stay connected offers an additional platform for advertisement which is another reason driving the growth of AI in marketing. Asia-Pacific is expected to grow at a significant rate owing to increasing adoption of AI technology and cloud deployment by large as well as SMEs for increasing customer satisfaction and enhancing operational performance.
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- Associations, Organizations, Forums, And Alliances
- Cloud Service Providers
- AI Solution Providers
- AI platform Provider
- Government Bodies and Departments
- Technical Universities
- Professional Service Providers
- Research and Development Companies
- Market Research and Consulting Firms
- Technology Standards Organizations
- Technology Investors
- Technology Providers
Table of Content
12. Company Profiles
12.1 IBM Corporation
12.1.1 Company Overview
12.1.2 Product/Business Segment Overview
12.1.3 Financial Updates
12.1.4 Key Developments
12.2.1 Company Overview
12.2.2 Product/Business Segment Overview
12.2.3 Financial Updates
12.2.4 Key Developments
12.3.1 Company Overview
12.3.2 Product/Business Segment Overview
12.3.3 Financial Updates
12.3.4 Key Developments
12.4 Amazon.com, Inc.
LIST OF TABLES
Table 1 Global Artificial Intelligence in Marketing Market, by Country, 2018–2023
Table 2 North America: Artificial Intelligence in Marketing Market, by Country, 2018–2023
Table 3 Europe: Artificial Intelligence in Marketing Market, by Country, 2018–2023
Table 4 Asia-Pacific: Artificial Intelligence in Marketing Market, by Country, 2018–2023
Table 5 North America: Artificial Intelligence in Marketing Market, by Country
Table 6 North America: Artificial Intelligence in Marketing Market, by Deployment
Table 7 North America: Artificial Intelligence in Marketing Market, by Technology
Table 8 North America: Artificial Intelligence in Marketing Market, by Applications
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