Edison, NJ -- (SBWIRE) -- 03/14/2019 -- HTF MI recently introduced Global and Regional Artificial Intelligence in Marketing Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2023. The market Study is segmented by key regions which is accelerating the marketization. At present, the market is developing its presence and some of the key players from the complete study are Nvidia, Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, Amazon, Salesforce, Baidu, Sentient Technologies, Albert Technologies, Oculus360, Twitter, Oracle, Insidesales, Persado, Mariana, Drawbridge, Narrative Science, Appier, Gumgum & Zensed etc.
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HNY Research projects that the Artificial Intelligence in Marketing market size will grow from USD XX Million in 2018 to USD XX Million by 2024, at an estimated CAGR of XX%. The base year considered for the study is 2017, and the market size is projected from 2018 to 2023.
This report studies the Global and Regional Artificial Intelligence in Marketing market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the Global and Regional Artificial Intelligence in Marketing market by companies, region, type and end-use industry.
Browse 100+ market data Tables and Figures spread through Pages and in-depth TOC on " Artificial Intelligence in Marketing Market by Type (, Cloud , on Premises, Machine Learning , Natural Language Processing (NLP) , Context-Aware Computing & Computer Vision), by End-Users/Application (Search Advertising , Social Media Advertising , Dynamic Pricing , Virtual Assistant , Others, By End-User Industry, Enterprise , BFSI , Retail , Consumer Goods , Others & By), Organization Size, Industry, and Region - Forecast to 2023". Early buyers will receive 10% customization on comprehensive study.
In order to get a deeper view of Market Size, competitive landscape is provided i.e. Revenue (Million USD) by Players (2013-2018), Revenue Market Share (%) by Players (2013-2018) and further a qualitative analysis is made towards market concentration rate, product/service differences, new entrants and the technological trends in future.
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Competitive Analysis:
The key players are highly focusing innovation in production technologies to improve efficiency and shelf life. The best long-term growth opportunities for this sector can be captured by ensuring ongoing process improvements and financial flexibility to invest in the optimal strategies. Company profile section of players such as Nvidia, Intel, Xilinx, Samsung Electronics, Micron, IBM, Alphabet, Microsoft, Facebook, Amazon, Salesforce, Baidu, Sentient Technologies, Albert Technologies, Oculus360, Twitter, Oracle, Insidesales, Persado, Mariana, Drawbridge, Narrative Science, Appier, Gumgum & Zensed includes its basic information like legal name, website, headquarters, its market position, historical background and top 5 closest competitors by Market capitalization / revenue along with contact information. Each player/ manufacturer revenue figures, growth rate and gross profit margin is provided in easy to understand tabular format for past 5 years and a separate section on recent development like mergers, acquisition or any new product/service launch etc.
Market Segments:
The Global and Regional Artificial Intelligence in Marketing Market has been divided into type, application, and region.
On The Basis Of Type: , Cloud , on Premises, Machine Learning , Natural Language Processing (NLP) , Context-Aware Computing & Computer Vision.
On The Basis Of Application: Search Advertising , Social Media Advertising , Dynamic Pricing , Virtual Assistant , Others, By End-User Industry, Enterprise , BFSI , Retail , Consumer Goods , Others & By
On The Basis Of Region, this report is segmented into following key geographies, with production, consumption, revenue (million USD), and market share, growth rate of Artificial Intelligence in Marketing in these regions, from 2013 to 2023 (forecast), covering
- North America (U.S. & Canada) {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}
- Latin America (Brazil, Mexico & Rest of Latin America) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
- Europe (The U.K., Germany, France, Italy, Spain, Poland, Sweden & RoE) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
- Asia-Pacific (China, India, Japan, Singapore, South Korea, Australia, New Zealand, Rest of Asia) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
- Middle East & Africa (GCC, South Africa, North Africa, RoMEA) {Market Revenue (USD Billion), Growth Share (%) and Opportunity Analysis}
- Rest of World {Market Revenue (USD Billion), Growth Analysis (%) and Opportunity Analysis}
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Have a look at some extracts from Table of Content
Introduction about Global and Regional Artificial Intelligence in Marketing
Global and Regional Artificial Intelligence in Marketing Market Size (Sales) Market Share by Type (Product Category) in 2017
Artificial Intelligence in Marketing Market by Application/End Users
Global and Regional Artificial Intelligence in Marketing Sales (Volume) and Market Share Comparison by Applications
(2013-2023) table defined for each application/end-users like [Search Advertising , Social Media Advertising , Dynamic Pricing , Virtual Assistant , Others, By End-User Industry, Enterprise , BFSI , Retail , Consumer Goods , Others & By]
Global and Regional Artificial Intelligence in Marketing Sales and Growth Rate (2013-2023)
Artificial Intelligence in Marketing Competition by Players/Suppliers, Region, Type and Application
Artificial Intelligence in Marketing (Volume, Value and Sales Price) table defined for each geographic region defined.
Global and Regional Artificial Intelligence in Marketing Players/Suppliers Profiles and Sales Data
Additionally Company Basic Information, Manufacturing Base and Competitors list is being provided for each listed manufacturers
Market Sales, Revenue, Price and Gross Margin (2013-2018) table for each product type which include , Cloud , on Premises, Machine Learning , Natural Language Processing (NLP) , Context-Aware Computing & Computer Vision
Artificial Intelligence in Marketing Manufacturing Cost Analysis
Artificial Intelligence in Marketing Key Raw Materials Analysis
Artificial Intelligence in Marketing Chain, Sourcing Strategy and Downstream Buyers, Industrial Chain Analysis
Market Forecast (2018-2023)
........and more in complete table of Contents
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