AI In Marketing Market
AI In Marketing Market

Artificial intelligence in marketing report explains the meaning of the definition, classifications, applications, and engagements while expounding the players’ actions in terms of their product launches, researches, joint ventures, mergers, and accusations. Companies have new business strategies which are going to be the moment of impact for change the artificial intelligence in marketing market. Therefore, the artificial intelligence in marketing report is enclosed with all the company profiles that you need to know to gain an upper hand the market. The artificial intelligence in marketing report contains market key drivers and restraints by using the SWOT analysis.

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The AI Marketing is a strategy for utilizing client information and AI ideas like machine figuring out how to foresee your client’s best course of action and enhance the client travel. The way toward filtering through and breaking down dumps of information was at one time an impossible procedure and is currently attainable, as well as it’s in reality simple.

The artificial intelligence in marketing market accounted for USD 5.2 billion in 2017 and is projected to grow at a CAGR of 30.1% the forecast period of 2018 to 2025. The renowned players in continuous testing market are

· Welltok, Inc.

· Intel Corporation

· Nvidia Corporation

· Google Inc.

· IBM Corporation

· Microsoft Corporation

· General Vision

· Enlitic, Inc.

· Next IT Corporation

· iCarbonX

· Amazon Web Services

· Apple

· Facebook Inc.

Others: Siemens, General Electric, Micron Technology, Samsung, Xillinx, Iteris, Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, Enlitic, Inc. and Raven Industries among others. The report includes market shares of artificial intelligence in marketing market for global, Europe, North America, Asia Pacific and South America. The global artificial intelligence in marketing is fragmented and the major players have used various strategies such as new product launches, expansions, agreements, joint ventures, partnerships, acquisitions, and others to increase their footprints in this market in order to sustain in long run.

The classic example of artificial intelligence in marketing is SEM advertising on channels like Google (AdWords), Facebook, and Twitter. According to an IDC report, Denecken reported that by 2019, 40 % of digital transformation initiatives will use AI services. In the coming year, businesses will begin truly seeing the benefits in areas like improved customer service due to AI.

Artificial Intelligence (AI) is a creation of wise and smart machines that work and respond and react like people. It is utilized to enhance the proficiency of day by day undertakings. Advancing innovation, selection of robots and drones, driverless tractors, crop health checking, and automated water system framework are a portion of the applications that credited to the high development of the worldwide AIA showcase. Artificial intelligence in marketing offer approaches to overcome any issues between information science and execution.

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Market Drivers and Restraints:

· High information and data storage capacity

· High computing power and parallel processing capabilities.

· Increasing number of AI applications and adoption of these applications in various segments.

· Lack of people power

· Data inefficiency in building proper AI algorithms.


· The global artificial intelligence in marketing market is based on

• Offering
• Deployment mode
• Application
• Technology
• End user industry
• Geographical segments

· Based on offering, the market is segmented into

• Hardware
• Software
• Services

· Based on deployment type, the market is segmented into

• Cloud
• On Premises

· Based on application, the market is segmented into

• Social Media Advertising
• Search Advertising
• Dynamic Pricing
• Virtual Assistant
• Content Curation
• Sales & Marketing Automation
• Analytics Platform And Others (Website Design And Emotion Measurement)

· Based on technology, the market is segmented into

• Machine Learning
• Context-Aware Computing
• Natural Language Processing
• Computer Vision

· Based on end user industry, the market is segmented into

• Retail
• Consumer Goods
• Media & Entertainment
• Enterprise
• Others (Education, Healthcare, Manufacturing, And Automotive)

· Based on geography, the market report covers data points for 28 countries across multiple geographies such as North America, South America, Europe, Asia-Pacific and Middle East & Africa.

· Some of the major countries covered in this report are U.S., Canada, Germany, France, U.K., Netherlands, Switzerland, Turkey, Russia, China, India, South Korea, Japan, Australia, Singapore, Saudi Arabia, South Africa, and Brazil among others.

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