Artificial Intelligence in Marketing: 2019 Worldwide Opportunities, Market Share, Key Players
Updated: Feb 21, 2019
The Global market size of Artificial Intelligence in marketing is increasing and its bringing with it major factors for development. Find out how AI's adoption in the consumer centric marketing world, the opportunities it's bringing with it and who are the ones making it big, all with the help of AI. Read further to know more. Article by- marketspioneer.com
Artificial Intelligence in Marketing market reports provides a comprehensive overview of the global market size and share. Artificial Intelligence in Marketing market data reports also provide a 5 year pre-historic and forecast for the sector and include data on socio-economic data of global. Key stakeholders can consider statistics, tables & figures mentioned in this report for strategic planning which lead to success of the organization
Look insights of Global Artificial Intelligence in Marketing market research report at https://www.pioneerreports.com/report/15256
Artificial Intelligence in Marketing Industry Overview:
Artificial Intelligence in Marketing market size will grow from USD 4.99 Billion in 2017 to USD 23.41 Billion by 2023, at an estimated CAGR of 29.38%. The base year considered for the study is 2017, and the market size is projected from 2018 to 2023.
Growth in the adoption of customer-centric marketing strategies, increase in demand for virtual assistants, and increased use of social media for advertising are the major factors driving the demand for AI-based marketing and sales solutions. In this report, the AI in marketing market has been segmented on the basis of offerings, deployment types, applications, technologies, end-user industries, and regions. Among offerings, software holds the largest share of the overall AI in marketing market owing to the developments in AI software and related software development kits.
The major players in global Artificial Intelligence in Marketing market include:
Nvidia, Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, Amazon, Salesforce, Baidu, Sentient Technologies, Albert Technologies, Oculus360, Twitter, Oracle, Insidesales, Persado, Mariana
By Deployment Type Cloud , on Premises
Machine Learning , Natural Language Processing (NLP) , Context-Aware Computing , Computer Vision,
By Application Search Advertising , Social Media Advertising , Dynamic Pricing , Virtual Assistant , Others
By End-User Industry Enterprise , BFSI , Retail , Consumer Goods , Others
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