Artificial Intelligence In Marketing Market - Global Industry Analysis

Artificial Intelligence In Marketing Market – By Technology (Machine Learning, Context Awareness, NLP, and Computer Vision), By End-User (BFSI, Consumer Goods, Retail, Media & Entertainment, and Enterprises), and By Region - Global Industry Perspective, Comprehensive Analysis, and Forecast, 2020 – 2026

Published Date: 01-Jun-2021 Category: Technology & Media Report Format : PDF Pages: 120 Report Code: ZMR-6343 Status : Published

The global Artificial Intelligence In Marketing market, which was estimated at about 7.1 (USD Billion) in 2019 and is predicted to accrue earnings worth 43.2(USD Billion) by 2026, is set to record a CAGR of nearly over 28% during 2020-2026.

Description

The global Artificial Intelligence In Marketing market, which was estimated at about 7.1 (USD Billion) in 2019 and is predicted to accrue earnings worth 43.2(USD Billion) by 2026, is set to record a CAGR of nearly over 28% during 2020-2026. The report offers valuation and analysis of Artificial Intelligence In Marketing market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Billion).

Report Scope :

Report Attribute Details
Base Year 2020
Historic Years 2016 - 2020
Forecast Years 2021 - 2028
Segments Covered By Product Type, By Application, and By End Use
Forecast Units Value (USD Billion), and Volume (Units)
Quantitative Units Revenue in USD million/billion and CAGR from 2021 to 2028
Regions Covered North America, Europe, Asia Pacific, Latin America, and Middle East & Africa, and Rest of World
Countries Covered U.S., Canada, Mexico, U.K., Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Argentina, GCC Countries, and South Africa, among others
Number of Companies Covered 10 companies with scope for including additional 15 companies upon request
Report Coverage Market growth drivers, restraints, opportunities, Porter’s five forces analysis, PEST analysis, value chain analysis, regulatory landscape, market attractiveness analysis by segments and region, company market share analysis, and COVID-19 impact analysis.
Customization Scope Avail customized purchase options to meet your exact research needs.

Artificial Intelligence in Marketing Market: Overview

Artificial intelligence is used in marketing activities for providing consumers with a personalized & digital experience. In addition to this, marketing activities make use of AI to facilitate automated decision making process including data collection, data analyzing, and monitoring the activities of targeted audience on web. Furthermore, AI is utilized for automating marketing activities, reducing errors in web promotions, raising ROIs, reducing operational costs, and improving business decision making processes. Apparently, artificial intelligence assists marketers in accurate sales forecasting, content generation, speech recognition, automated image detection, gaining customer insights, and ensuring maintaining of data privacy & quality. Citing an instance, Amazon makes use of AI for enhancing online shopping services & improving customer experiences. 

Global Artificial Intelligence In Marketing Market

Artificial Intelligence in Marketing Market: Growth Drivers

The massive acceptance of consumer centric marketing strategies along with rise in use of social media tools for promoting the products & services will create lucrative growth avenues for artificial intelligence in marketing industry. In addition to this, large-scale use of AI tools in improving content curating activities, analytics, and web searches will drive the business trends. Apparently, utilization of AI helps the marketers to draw exact inferences from end-user data, thereby determining consumer behavior and consumer trends as well as their choices. This, in turn, will help the firms reach target audience as well as increase their sales along with attracting new customers, thereby steering the industry space. Furthermore, AI also helps the firms in promoting products & services, exactly identify customer wants, and help them in customer retention. This will augment the business landscape in the forthcoming years.

Moreover, AI tools help the firms in increasing their profits through effective sales promotions, thereby ensuring customer satisfaction along with increasing customer reach. In addition to this, AI is also used by firms to effectively advertise their products & services as a part of their business strategy. Furthermore, artificial intelligence techniques also help the marketers in generating huge sales through generation of prospective leads along with effectively positioning themselves in the business to ensure brand loyalty among their customers. All these aforementioned aspects are likely to amplify the size of artificial intelligence in marketing industry in the foreseeable future.

Regional Landscape

North American Market To Retain Dominant Position Over 2020-2026

The growth of artificial intelligence in marketing market in North America over the assessment period can be attributed to large-scale presence of tech giants in the countries such as Canada as well as the U.S. In addition to this, massive acceptance of new AI techniques by giant enterprises as well as small & medium-scale firms will catapult the growth of the regional market over the forecast timeframe.

Competitive Landscape

Key players profiled in the study are Oracle, Baidu, Albert Technologies, Sentient Technologies, Twitter, Zensed, Appier, Persado, Facebook, Micron, Intel Corporation, Amazon, and Salesforce.

The global Artificial Intelligence In Marketing Market is segmented as follows:

By End-User:

  • BFSI
  • Consumer Goods
  • Retail
  • Media & Entertainment
  • Enterprises

By Technology:

  • Machine Learning
  • Context Awareness
  • NLP
  • Computer Vision

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Preface
    • 1.1. Report Description and Scope
    • 1.2. Research Scope
    • 1.3. Research Methodulogy
      • 1.3.1. Market Research Process
      • 1.3.2. Market Research Methodulogy
  • Chapter 2. Executive Summary
    • 2.1. Artificial Intelligence In Marketing Market, 2016–2026 (USD Billion)
    • 2.2. Artificial Intelligence In Marketing Market: Snapshot
  • Chapter 3. Global Artificial Intelligence In Marketing Market– Industry Analysis
    • 3.1. Artificial Intelligence In Marketing Market: Market Dynamics
    • 3.2. Market Drivers
      • 3.2.1. The massive acceptance of consumer centric marketing strategies along with rise in use of social media touls for promoting the products & services will create lucrative growth avenues for artificial intelligence in marketing industry.
      • 3.2.2. Humungous use of AI touls in improving content curating activities, analytics, and web searches will drive the market trends.
    • 3.3. Porter’s Five Forces Analysis
    • 3.4. Market Attractiveness Analysis
      • 3.4.1. Market attractiveness analysis By End-User
      • 3.4.2. Market attractiveness analysis By Technulogy
  • Chapter 4. Global Artificial Intelligence In Marketing Market– Competitive Landscape
    • 4.1. Company market share analysis
      • 4.1.1. Global Artificial Intelligence In Marketing Market: company market share, 2018
    • 4.2. Strategic development
      • 4.2.1. Acquisitions & mergers
      • 4.2.2. New Technulogy launches
      • 4.2.3. Agreements, partnerships, cullaborations, and joint ventures
      • 4.2.4. Research and development and Regional expansion
    • 4.3. Price trend analysis
  • Chapter 5. Global Artificial Intelligence In Marketing Market– End-User Analysis
    • 5.1. Global Artificial Intelligence In Marketing Market overview: By End-User
      • 5.1.1. Global Artificial Intelligence In Marketing Market share, By End-User , 2019 and 2026
    • 5.2. Retail
      • 5.2.1. Global Artificial Intelligence In Marketing Market By Retail, 2016–2026 (USD Billion)
    • 5.3. BFSI
      • 5.3.1. Global Artificial Intelligence In Marketing Market By BFSI, 2016–2026 (USD Billion)
    • 5.4. Consumer Goods
      • 5.4.1. Global Artificial Intelligence In Marketing Market By Consumer Goods, 2016–2026 (USD Billion)
    • 5.5. Media & Entertainment
      • 5.5.1. Global Artificial Intelligence In Marketing Market By Media & Entertainment, 2016–2026 (USD Billion)
    • 5.6. Enterprises
      • 5.6.1. Global Artificial Intelligence In Marketing Market By Enterprises, 2016–2026 (USD Billion)
  • Chapter 6. Global Artificial Intelligence In Marketing Market– Technulogy Analysis
    • 6.1. Global Artificial Intelligence In Marketing Market overview: By Technulogy
      • 6.1.1. Global Artificial Intelligence In Marketing Market share, By Technulogy, 2019 and 2026
    • 6.2. Machine Learning
      • 6.2.1. Global Artificial Intelligence In Marketing Market By Machine Learning , 2016–2026 (USD Billion)
    • 6.3. NLP
      • 6.3.1. Global Artificial Intelligence In Marketing Market By NLP, 2016–2026 (USD Billion)
    • 6.4. Context-Aware Computing
      • 6.4.1. Global Artificial Intelligence In Marketing Market By Context-Aware Computing, 2016–2026 (USD Billion)
    • 6.5. Computer Vision
      • 6.5.1. Global Artificial Intelligence In Marketing Market By Computer Vision, 2016–2026 (USD Billion)
  • Chapter 7. Company Profiles
    • 7.1. Oracle
      • 7.1.1. Overview
      • 7.1.2. Financials
      • 7.1.3. Technulogy Portfulio
      • 7.1.4. Business Strategy
      • 7.1.5. Recent Developments
    • 7.2. Baidu
      • 7.2.1. Overview
      • 7.2.2. Financials
      • 7.2.3. Technulogy Portfulio
      • 7.2.4. Business Strategy
      • 7.2.5. Recent Developments
    • 7.3. Albert Technulogies
      • 7.3.1. Overview
      • 7.3.2. Financials
      • 7.3.3. Technulogy Portfulio
      • 7.3.4. Business Strategy
      • 7.3.5. Recent Developments
    • 7.4. Sentient Technulogies
      • 7.4.1. Overview
      • 7.4.2. Financials
      • 7.4.3. Technulogy Portfulio
      • 7.4.4. Business Strategy
      • 7.4.5. Recent Developments
    • 7.5. Twitter
      • 7.5.1. Overview
      • 7.5.2. Financials
      • 7.5.3. Technulogy Portfulio
      • 7.5.4. Business Strategy
      • 7.5.5. Recent Development
    • 7.6. Zensed
      • 7.6.1. Overview
      • 7.6.2. Financials
      • 7.6.3. Technulogy Portfulio
      • 7.6.4. Business Strategy
      • 7.6.5. Recent Development
    • 7.7. Appier
      • 7.7.1. Overview
      • 7.7.2. Financials
      • 7.7.3. Technulogy Portfulio
      • 7.7.4. Business Strategy
      • 7.7.5. Recent Development
    • 7.8. Persado
      • 7.8.1. Overview
      • 7.8.2. Financials
      • 7.8.3. Technulogy Portfulio
      • 7.8.4. Business Strategy
      • 7.8.5. Recent Development
    • 7.9. Facebook
      • 7.9.1. Overview
      • 7.9.2. Financials
      • 7.9.3. Technulogy Portfulio
      • 7.9.4. Business Strategy
      • 7.9.5. Recent Development
    • 7.10. Micron
      • 7.10.1. Overview
      • 7.10.2. Financials
      • 7.10.3. Technulogy Portfulio
      • 7.10.4. Business Strategy
      • 7.10.5. Recent Development
    • 7.11. Intel Corporation
      • 7.11.1. Overview
      • 7.11.2. Financials
      • 7.11.3. Technulogy Portfulio
      • 7.11.4. Business Strategy
      • 7.11.5. Recent Development
    • 7.12. Amazon
      • 7.12.1. Overview
      • 7.12.2. Financials
      • 7.12.3. Technulogy Portfulio
      • 7.12.4. Business Strategy
      • 7.12.5. Recent Development
    • 7.13. Salesforce
      • 7.13.1. Overview
      • 7.13.2. Financials
      • 7.13.3. Technulogy Portfulio
      • 7.13.4. Business Strategy
      • 7.13.5. Recent Development

Methodology


Frequently Asked Questions

The massive acceptance of consumer centric marketing strategies along with rise in use of social media tools for promoting the products & services will create lucrative growth avenues for artificial intelligence in marketing industry. In addition to this, large-scale use of AI tools in improving content curating activities, analytics, and web searches will drive the business trends. Apparently, utilization of AI helps the marketers to draw exact inferences from end-user data, thereby determining consumer behavior and consumer trends as well as their choices. This, in turn, will help the firms reach target audience as well as increase their sales along with attracting new customers, thereby steering the industry space. Furthermore, AI also helps the firms in promoting products & services, exactly identify customer wants, and help them in customer retention. This will augment the business landscape in the forthcoming years.

Moreover, AI tools help the firms in increasing their profits through effective sales promotions, thereby ensuring customer satisfaction along with increasing customer reach. In addition to this, AI is also used by firms to effectively advertise their products & services as a part of their business strategy. Furthermore, artificial intelligence techniques also help the marketers in generating huge sales through generation of prospective leads along with effectively positioning themselves in the business to ensure brand loyalty among their customers. All these aforementioned aspects are likely to amplify the size of artificial intelligence in marketing industry in the foreseeable future.

According to Zion Market Research report, the global Artificial Intelligence In Marketing market, which was estimated at about 7.1 (USD Billion) in 2019 and is predicted to accrue earnings worth 43.2(USD Billion) by 2026, is set to record a CAGR of nearly over 28% during 2020-2026. 

North America is likely to make noteworthy contributions towards overall market revenue. The growth of the industry in the sub-continent over the estimated timespan is attributed to large-scale presence of tech giants in the countries such as Canada as well as the U.S. In addition to this, massive acceptance of new AI techniques by giant enterprises as well as small & medium-scale firms will catapult the growth of the regional market over the forecast timeframe.

The key players profiled in the report include are Oracle, Baidu, Albert Technologies, Sentient Technologies, Twitter, Zensed, Appier, Persado, Facebook, Micron, Intel Corporation, Amazon, and Salesforce.

Choose License Type

Request the coronavirus impact analysis across industries and markets

HappyClients

Office Address

Corporate Office

Zion Market Research 244 Fifth Avenue, Suite N202 New York, 10001, United States
Tel: +49-322 210 92714
USA/Canada Toll Free No.1-855-465-4651

Asia Pacific Office

3rd Floor, Mrunal Paradise, Opp Maharaja Hotel, Pimple Gurav, Pune 411061, Maharashtra, India
Phone No 020-46277770

Contact #

US OFFICE NO +1-386-310-3803
US/CAN TOLL FREE +1-855-465-4651
Email: sales@zionmarketresearch.com

We Are On Social