The Artificial Intelligence in Marketing Market

Artificial intelligence in marketing is the marketing solution which minimizes the gap and its deployment in the business process enhances decision making and problem-solving. The rising adoption of customer-centric marketing strategies coupled with an between data science and its implementation. It is the technique deployed to improve the customer experience by leveraging the customer data and the concepts of AI such as machine learning (ML). The advent of the advanced algorithms allows the great computational capabilities increase in social media platforms to encourage a variety of products and services are projected to boost the growth of the global artificial intelligence in the marketing market in the forecast period. Anyhow, the enormous usage of artificial intelligence in improving content curation activities, web searches and analytics will also steer the market expansion. Also, the usage of artificial intelligence promotes marketers to conclude precise inferences from data provided by end-users, therefore assisting in determining consumer trends and consumer behavior. It will support firms to increase their customer base and reach the target audience, which in turn will help in improving their sales and attracting new clients. The advent of virtual assistants application in the digital marketing epoch is the major reason accentuating the need for artificial intelligence in marketing. Virtual systems are significantly being adopted for sales purposes due to the fact that they are designed to improve productivity and lesser tedious time-consuming lead generation activity. These days, various businesses are switching to cloud operations, thus, supporting players to create innovative artificial intelligence-enabled cloud solutions. Furthermore, all of these emerging scenarios will exceptionally scale up the growth of global artificial intelligence in marketing market. However, the shortage of artificial intelligence experts will hamper the market growth.

In addition, the small enterprises are increasingly obtaining access to AI. These cloud-based AI solutions effectively enable and improve the adoption of AI. Cloud-based applications and services can offer users with immediate access to hardware services with no initial capital investments, resulting in a quicker time to market in various industries. Since, the cloud has become a versatile infrastructure which can be shared by various end users, may use it in a different ways. As a result, the cloud-based applications and services decreased costs, decreased risks, defined services, access to the advanced technology since and cloud-based applications and services are rising. The cloud-based AI services example is Google Cloud Machine. Thereby, the adoption of cloud-based applications and services boosts the market growth. Moreover, the vivid customized Ad serving is among the other factors anticipated to propel the growth of the artificial intelligence in marketing market over the forecast period.

The global Artificial Intelligence in Marketing Market is segregated on the basis of Application as Content Curation, Dynamic Pricing, Sales & Marketing Automation, Search Advertising, Social Media Advertising, Virtual Assistant and Others. Based on Technology the global Artificial Intelligence in Marketing Market is segmented in Natural Language Processing, Machine Learning, Context-Aware Computing and Computer Vision. Based on End-User the global Artificial Intelligence in Marketing Market is segmented in Retail, Media & Entertainment, Enterprise, Consumer Goods, BFSI and Others.

The global Artificial Intelligence in Marketing Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The Artificial Intelligence in Marketing Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

Affectiva, Appier Inc., Bidalgo, Novantas (Amplero), Inc., CognitiveScale and others are among the major players in the global Artificial Intelligence in Marketing Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In October 2020, SAP SE declared that it is extending its cloud solutions portfolio, initially introduced in June 2020, to the marketing industry. The company builds and runs portfolio applications on its open cloud platform, utilizing AI and latest analytics to support enhanced user experiences and digitalization and automation of operations. SAP and its partners would provide solutions for the key business of retailers, such as machine learning algorithms, to unleash the previously undiscovered customer requirements and create more relevant personalized offers.

 The global Artificial Intelligence in Marketing Market has been segmented as below:

Artificial Intelligence in Marketing Market, By Application

• Content Curation
• Dynamic Pricing
• Sales & Marketing Automation
• Search Advertising
• Social Media Advertising
• Virtual Assistant
• Others

Artificial Intelligence in Marketing Market, By Technology

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

Artificial Intelligence in Marketing Market, By Industry Vertical

• Retail
• Media & Entertainment
• Enterprise
• Consumer Goods
• BFSI
• Others

Artificial Intelligence in Marketing Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

Artificial Intelligence in Marketing Market, By Company

• Affectiva
• Appier Inc.
• Bidalgo
• Novantas (Amplero), Inc.
• CognitiveScale
• SAS Institute Inc.
• SAP SE
• Salesforce.com, Inc.
• Oracle Corporation
• IBM Corporation
• Amazon Web Services
• Adobe
• Accenture
• Microsoft Corporation

The report covers the below scope:

• Global Artificial Intelligence in Marketing Market sizes from 2020 to 2026, along with
• CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to 2026
• Global Artificial Intelligence in Marketing Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global Artificial Intelligence in Marketing Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global Artificial Intelligence in Marketing Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global Artificial Intelligence in Marketing Market share. Major industry players with significant revenue share include Affectiva, Appier Inc., Bidalgo, Novantas (Amplero), Inc., CognitiveScale and others.

Why to Buy this Report:

• Gain detailed insights on the Artificial Intelligence in Marketing industry trends
• Find complete analysis on the market status
• Identify the Artificial Intelligence in Marketing Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

Free and Paid Customization based on the requirement

1.      Introduction

1.1.       Key Points

1.2.      Report Description

1.3.      Markets Covered

1.4.      Stakeholders

2.     Research Methodology

2.1.      Research Scope

2.2.     Research Methodology

2.2.1.     Market Research Process

2.2.2.    Research Methodology

2.2.2.1.           Secondary Research

2.2.2.2.          Primary Research

2.2.2.3.          Models for Estimation

2.3.     Market Size Estimation

2.3.1.     Bottom-Up Approach

2.3.2.    Top-Down Approach

3.     Executive Summary

4.    Market Overview

4.1.      Introduction

4.2.     Drivers

4.3.     Restraints

4.4.     Opportunities

4.5.     Challenges

5.     Artificial Intelligence in Marketing Market, By Application

5.1.      Key Points

5.2.  Content Curation

5.3.  Dynamic Pricing

5.4.  Sales & Marketing Automation

5.5.  Search Advertising

5.6.  Social Media Advertising

5.7.  Virtual Assistant

5.8. Others

6.    Artificial Intelligence in Marketing Market, By Technology

6.1.      Key Points

6.2. Manufacturing Execution System (MES)

6.3. Natural Language Processing

6.4. Machine Learning

6.5.  Context-Aware Computing

6.6. Computer Vision

7.     Artificial Intelligence in Marketing Market, By End-User

7.1.      Key Points

7.2.  Retail

7.3.  Media & Entertainment

7.4.  Enterprise

7.5.  Consumer Goods

7.6.  BFSI

7.7.  Others

8.    Competitive Landscape

8.1.      Introduction

8.2.     Start-up companies- Artificial Intelligence in Marketing Market

8.3.     Recent Developments

8.3.1.     Mergers & Acquisitions

8.3.2.    New Product Developments

8.3.3.    Portfolio/Production Capacity Expansions

8.3.4.    Joint Ventures, Collaborations, Partnerships & Agreements

8.3.5.    Others

9.    Company Profile

9.1.  Affectiva

9.2. Appier Inc.

9.3. Bidalgo

9.4. Novantas (Amplero), Inc.

9.5.  CognitiveScale

9.6. SAS Institute Inc.

9.7.  SAP SE

9.8. Salesforce.com, Inc.

9.9. Oracle Corporation

9.10.    IBM Corporation

9.11.      Amazon Web Services

9.12.    Adobe

9.13.     Accenture

9.14.    Microsoft Corporation