Artificial Intelligence in Marketing Market

Artificial Intelligence in Marketing Market by Offering (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP, Computer Vision), Deployment Type, Application, End-User Industry, and Geography - Global Forecast to 2025

Report Code: SE 5990 Feb, 2018, by marketsandmarkets.com

The Artificial Intelligence (AI) in Marketing Market was valued at USD 5.00 Billion in 2017 and is likely to reach USD 40.09 Billion by 2025, at a CAGR of 29.79% during the forecast period. The base year considered for the study is 2017, and the forecast period is between 2018 and 2025.

Study Objectives

  • To define, describe, and forecast the artificial intelligence (AI) in marketing market, in terms of value, segmented on the basis of offerings, deployment types, technologies, applications, end-user industries, and regions
  • To forecast the market size of various segments with respect to 4 main regions: North America, Europe, Asia Pacific (APAC), and Rest of the World (RoW)
  • To provide detailed information regarding the major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growth
  • To strategically analyze micromarkets with respect to individual growth trends, prospects, and contributions to the total market
  • To strategically profile key players and comprehensively analyze their market share and core competencies, and detail the competitive landscape for market leaders
  • To analyze competitive developments such as joint ventures, collaborations, agreements, contracts, partnerships, mergers & acquisitions, new product developments, and research & development in the AI in marketing market

Research Methodology

This study involves an extensive usage of secondary sources, directories, and databases (such as Hoovers, Bloomberg Businessweek, Factiva, and OneSource) to identify and collect information useful for this technical, market-oriented, and commercial study of the AI in marketing market. The primary sources mainly comprise several industry experts from core and related industries, along with preferred suppliers, manufacturers, distributors, service providers, reimbursement providers, technology developers, alliances, standards, and certification organizations related to all the phases of the industry’s value chain. Both top-down and bottom-up approaches have been used to estimate and validate the size of the market and other dependent submarkets. After arriving at the overall market size, the total market has been split into several segments and subsegments, which have been verified through primary research by conducting extensive interviews with industry experts such as CEOs, VPs, directors, and executives. The market breakdown and data triangulation procedures have been employed to complete the overall market engineering process and arrive at the exact statistics for all segments and subsegments. The breakdown of profiles of primary respondents has been depicted in the following figure.

Artificial Intelligence in Marketing Market

To know about the assumptions considered for the study, download the pdf brochure

Companies covered in the AI in marketing market report are NVIDIA (US), Intel (US), IBM (US), Micron (US), Samsung Electronics (Korea), Xilinx (US), Amazon (US), Alphabet (US), Facebook (US), Microsoft (US), Salesforce (US), Baidu (China), Sentient Technologies (US), Albert Technologies (Israel), and Oculus360 (US). Some of the other key companies included in the report are Twitter (US), Oracle (US), InsideSales (US), Persado (US), Mariana (US), Drawbridge (US), Narrative Science (US), Appier (US), GumGum (US), and Zensed (Sweden).

Please visit 360Quadrants to see the vendor listing of Marketing Automation Software

Key Target Audience

  • Semiconductor companies
  • Technology providers
  • Universities and research organizations
  • System integrators
  • AI solution providers
  • AI platform providers
  • Cloud service providers
  • AI system providers
  • Investors and venture capitalists

Scope of the Report:

The report segments the AI in marketing market into the following segments:

Based on Offering, the Artificial Intelligence in Marketing Market been Segmented as follows:

  • Hardware
  • Software
  • Services

Based on Deployment Type, the Artificial Intelligence in Marketing Market been Segmented as follows:

  • Cloud
  • On Premises

Based on Application, the Artificial Intelligence in Marketing Market been Segmented as follows:

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

Based on Technology, the Artificial Intelligence in Marketing Market been Segmented as follows:

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

Based on End-User Industry, the Artificial Intelligence in Marketing Market been Segmented as follows:

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

Based on Region, the Artificial Intelligence in Marketing Market been Segmented as follows:

  • North America
  • Europe
  • APAC
  • RoW

Available Customizations

  • Analysis of industries in the AI in marketing market in different geographic regions. Customization can be provided on the country-wise analysis of the market with respect to industries.
  • Detailed analysis and profiling of additional market players (up to 5)

According to MarketsandMarkets, the artificial intelligence (AI) in marketing market is expected to be valued at USD 6.46 Billion in 2018 and is likely to reach USD 40.09 Billion by 2025, at a CAGR of 29.79% between 2018 and 2025. 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 market owing to the developments in AI software and related software development kits.

Among deployment types, the market for cloud deployment is expected to grow at a higher CAGR between 2018 and 2025. Several businesses have already moved part of their operations to the cloud, which has encouraged vendors to develop cloud-based solutions as the data to be protected is on the cloud.

Among applications, virtual assistant is the fastest-growing application. Virtual assistants are increasingly being used for sales purposes as they are designed to increase productivity and eliminate time-consuming lead generation activity, thus allowing salespeople to focus on other productive parts of the job.

On the basis of technologies, the market has been segmented into machine learning, natural language processing, computer vision, and context-aware computing. Machine learning’s ability to collect and handle big data, along with its increased ability to perform previously impossible calculations, is fueling the growth of the market for machine learning.

Among end-user industries, the enterprise industry holds the largest share of the AI in marketing market. The enterprise industry is using AI in marketing for various applications, such as virtual assistants, sales and marketing automation, analytics, and social media advertising.

Artificial Intelligence in Marketing Market

The AI in marketing market in APAC is expected to grow at the highest CAGR between 2018 and 2025. This growth can be attributed to the adoption of AI services in end-user industries such as retail, BFSI, enterprise, and media and advertising in countries such as Japan, China, Australia, and South Korea.

The limited number of AI experts is a major restraint for the AI in marketing market. Companies covered in the market report are NVIDIA (US), Intel (US), IBM (US), Micron (US), Samsung Electronics (Korea), Xilinx (US), Amazon (US), Alphabet (US), Facebook (US), Microsoft (US), Salesforce (US), Baidu (China), Sentient Technologies (US), Albert Technologies (Israel), and Oculus360 (US). Some of the other key companies included in the report are Twitter (US), Oracle (US), InsideSales (US), Persado (US), Mariana (US), Drawbridge (US), Narrative Science (US), Appier (US), GumGum (US), and Zensed (Sweden).

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Table of Contents

1 Introduction (Page No. - 15)
    1.1 Study Objectives
    1.2 Definition
    1.3 Study Scope
           1.3.1 Markets Covered
           1.3.2 Years Considered for This Study
    1.4 Currency
    1.5 Limitations
    1.6 Stakeholders

2 Research Methodology (Page No. - 19)
    2.1 Research Data
           2.1.1 Secondary Data
                    2.1.1.1 Key Data From Secondary Sources
           2.1.2 Primary Data
                    2.1.2.1 Key Data From Primary Sources
                    2.1.2.2 Key Industry Insights
                    2.1.2.3 Breakdown of Primaries
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Market Breakdown & Data Triangulation
    2.4 Research Assumptions

3 Executive Summary (Page No. - 28)

4 Premium Insights (Page No. - 33)
    4.1 Attractive Opportunities in AI in Marketing Market
    4.2 Market, By Offering
    4.3 Market, By Deployment Type
    4.4 Market, By Technology
    4.5 Market, By Application and Region
    4.6 Market, By End-User Industry
    4.7 Market, By Country

5 Market Overview (Page No. - 37)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Growing Adoption of Customer-Centric Marketing Strategies
                    5.2.1.2 Increased Use of Social Media for Advertising
                    5.2.1.3 Increase in Demand for Virtual Assistants
           5.2.2 Restraints
                    5.2.2.1 Limited Number of AI Experts
           5.2.3 Opportunities
                    5.2.3.1 Growth in Adoption of Cloud-Based Applications and Services
                    5.2.3.2 Evolution of Marketing Analytics
           5.2.4 Challenges
                    5.2.4.1 Concerns Regarding Data Privacy
                    5.2.4.2 Unreliability of AI Algorithms
    5.3 Use Cases
           5.3.1 Redballoon Used Albert Technologies Platform to Reduce Customer Acquisition Cost
           5.3.2 Lincoln Motor Company Used Oculus360 Ai-Driven Consumer Insights Platform
           5.3.3 Abuv Media Used Sentient Ascend for Widget Creation
           5.3.4 Garmin Used Gumgum AI Technology to Increase Customer Awareness of Vívosmart 3 Smart Activity Tracker
           5.3.5 Carrefour Used Appier AI to Grow Online Store Purchases

6 Artificial Intelligence in Marketing Market, By Offering (Page No. - 43)
    6.1 Introduction
    6.2 Software
           6.2.1 AI Solutions
           6.2.2 AI Platforms
    6.3 Hardware
           6.3.1 Processor
           6.3.2 Storage
           6.3.3 Network
    6.4 Services
           6.4.1 Deployment & Integration
           6.4.2 Support & Maintenance

7 Artificial Intelligence in Marketing Market, By Deployment Type (Page No. - 53)
    7.1 Introduction
    7.2 Cloud
    7.3 on Premises

8 Artificial Intelligence in Marketing Market, By Technology (Page No. - 57)
    8.1 Introduction
    8.2 Machine Learning
           8.2.1 Deep Learning
           8.2.2 Supervised Learning
           8.2.3 Unsupervised Learning
           8.2.4 Reinforcement Learning
           8.2.5 Semi-Supervised Learning
    8.3 Natural Language Processing (NLP)
    8.4 Context-Aware Computing
    8.5 Computer Vision

9 Artificial Intelligence in Marketing Market, By Application (Page No. - 66)
    9.1 Introduction
    9.2 Search Advertising
    9.3 Social Media Advertising
    9.4 Dynamic Pricing
    9.5 Virtual Assistant
    9.6 Content Curation
    9.7 Sales & Marketing Automation
    9.8 Analytics Platform
    9.9 Others

10 Artificial Intelligence in Marketing Market, By End-User Industry (Page No. - 77)
     10.1 Introduction
     10.2 Enterprise
     10.3 BFSI
     10.4 Retail
     10.5 Consumer Goods
     10.6 Media & Advertising
     10.7 Others

11 Geographic Analysis (Page No. - 86)
     11.1 Introduction
     11.2 North America
             11.2.1 US
             11.2.2 Canada
             11.2.3 Mexico
     11.3 Europe
             11.3.1 UK
             11.3.2 Germany
             11.3.3 France
             11.3.4 Italy
             11.3.5 Spain
             11.3.6 Rest of Europe (RoE)
     11.4 Asia Pacific
             11.4.1 China
             11.4.2 Japan
             11.4.3 South Korea
             11.4.4 India
             11.4.5 Rest of APAC (RoAPAC)
     11.5 Rest of the World (RoW)
             11.5.1 Middle East and Africa (MEA)
             11.5.2 South America

12 Competitive Landscape (Page No. - 111)
     12.1 Overview
     12.2 Market Ranking Analysis
     12.3 Competitive Scenario
             12.3.1 Product Launches
             12.3.2 Partnerships and Collaborations
             12.3.3 Acquisitions
             12.3.4 Expansions

13 Company Profiles (Page No. - 118)
     13.1 Key Players
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
             13.1.1 Nvidia
             13.1.2 Intel
             13.1.3 Xilinx
             13.1.4 Samsung Electronics
             13.1.5 Micron
             13.1.6 IBM
             13.1.7 Alphabet
             13.1.8 Microsoft
             13.1.9 Facebook
             13.1.10 Amazon
             13.1.11 Salesforce
             13.1.12 Baidu
             13.1.13 Sentient Technologies
             13.1.14 Albert Technologies
             13.1.15 Oculus360
     13.2 Other Key Companies
             13.2.1 Twitter
             13.2.2 Oracle
             13.2.3 Insidesales
             13.2.4 Persado
             13.2.5 Mariana
             13.2.6 Drawbridge
             13.2.7 Narrative Science
             13.2.8 Appier
             13.2.9 Gumgum
             13.2.10 Zensed

*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.

14 Appendix (Page No. - 162)
     14.1 Insights From Industry Experts
     14.2 Discussion Guide
     14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.4 Introducing RT: Real-Time Market Intelligence
     14.5 Available Customizations
     14.6 Related Reports
     14.7 Author Details


List of Tables (67 Tables)

Table 1 Artificial Intelligence in Marketing Market, By Offering, 2015–2025 (USD Million)
Table 2 Market, By Software, 2015–2025 (USD Million)
Table 3 Market for Software, By AI Platform, 2015–2025 (USD Million)
Table 4 Market for Software, By Region, 2015–2025 (USD Million)
Table 5 Market, By Hardware, 2015–2025 (USD Million)
Table 6 Market for Hardware, By Processor, 2015–2025 (USD Million)
Table 7 Market for Hardware, By Region, 2015–2025 (USD Million)
Table 8 Market, By Service, 2015–2025 (USD Million)
Table 9 Market for Services, By Region, 2015–2025 (USD Million)
Table 10 Market, By Deployment Type, 2015–2025 (USD Million)
Table 11 Market for Cloud Deployment, By Region, 2015–2025 (USD Million)
Table 12 Market for On-Premise Deployment, By Region, 2015–2025 (USD Million)
Table 13 Market, By Technology, 2015–2025 (USD Million)
Table 14 Artificial Intelligence in Marketing Market for Machine Learning, By Type, 2015–2025 (USD Million)
Table 15 Market for Machine Learning, By Region, 2015–2025 (USD Million)
Table 16 Market for NLP, By Type, 2015–2025 (USD Million)
Table 17 Market for NLP, By Region, 2015–2025 (USD Million)
Table 18 Market for Context-Aware Computing, By Type, 2015–2025 (USD Million)
Table 19 Market for Context-Aware Computing, By Region, 2015–2025 (USD Million)
Table 20 Market for Computer Vision, By Region, 2015–2025 (USD Million)
Table 21 Market, By Application, 2015–2025 (USD Million)
Table 22 Market for Search Advertising, By Region, 2015–2025 (USD Million)
Table 23 Market for Social Media Advertising, By Region, 2015–2025 (USD Million)
Table 24 Market for Dynamic Pricing, By Region, 2015–2025 (USD Million)
Table 25 Market for Virtual Assistant, By Region, 2015–2025 (USD Million)
Table 26 Market for Content Curation, By Region, 2015–2025 (USD Million)
Table 27 Market for Sales & Marketing Automation, By Region, 2015–2025 (USD Million)
Table 28 Market for Analytics Platform, By Region, 2015–2025 (USD Million)
Table 29 Market for Others, By Region, 2015–2025 (USD Million)
Table 30 Market, By End-User Industry, 2015–2025 (USD Million)
Table 31 Market for Enterprise, By Region, 2015–2025 (USD Million)
Table 32 Market for BFSI, By Region, 2015–2025 (USD Million)
Table 33 Market for Retail, By Region, 2015–2025 (USD Million)
Table 34 Market for Consumer Goods, By Region, 2015–2025 (USD Million)
Table 35 Market for Media & Advertising, By Region, 2015–2025 (USD Million)
Table 36 Market for Others, By Region, 2015–2025 (USD Million)
Table 37 Market, By Region, 2015–2025 (USD Million)
Table 38 Market in North America, By Country, 2015–2025 (USD Million)
Table 39 Market in North America, By Application, 2015–2025 (USD Million)
Table 40 Market in North America, By Deployment Type, 2015–2025 (USD Million)
Table 41 Market in North America, By End-User Industry, 2015–2025 (USD Million)
Table 42 Artificial Intelligence in Marketing Market in North America, By Technology, 2015–2025 (USD Million)
Table 43 Artificial Intelligence in Marketing Market in North America, By Offering, 2015–2025 (USD Million)
Table 44 Artificial Intelligence in Marketing Market in Europe, By Country, 2015–2025 (USD Million)
Table 45 Market in Europe, By Application, 2015–2025 (USD Million)
Table 46 Market in Europe, By Deployment Type, 2015–2025 (USD Million)
Table 47 Market in Europe, By End-User Industry, 2015–2025 (USD Million)
Table 48 Market in Europe, By Technology, 2015–2025 (USD Million)
Table 49 Market in Europe, By Offering, 2015–2025 (USD Million)
Table 50 Market in APAC, By Country, 2015–2025 (USD Million)
Table 51 AI in Marketing Market in APAC, By Application, 2015–2025 (USD Million)
Table 52 Market in APAC, By Deployment Type, 2015–2025 (USD Million)
Table 53 Market in APAC, By End-User Industry, 2015–2025 (USD Million)
Table 54 Market in APAC, By Technology, 2015–2025 (USD Million)
Table 55 Market in APAC, By Offering, 2015–2025 (USD Million)
Table 56 Market in RoW, By Region, 2015–2025 (USD Million)
Table 57 Market in RoW, By Application, 2015–2025 (USD Million)
Table 58 Market in RoW, By Deployment Type, 2015–2025 (USD Million)
Table 59 Market in RoW, By End-User Industry, 2015–2025 (USD Million)
Table 60 Market in RoW, By Technology, 2015–2025 (USD Million)
Table 61 Market in RoW, By Offering, 2015–2025 (USD Million)
Table 62 Top 5 Players in AI in Marketing Market for Hardware (2017)
Table 63 Top 5 Players in AI in Marketing Market for Solutions (2017)
Table 64 Product Launches, 2017
Table 65 Partnerships & Collaborations, 2017
Table 66 Acquisitions, 2016–2017
Table 67 Expansions, 2017


List of Figures (59 Figures)

Figure 1 AI in Marketing Market: Research Methodology
Figure 2 Market Size Estimation Process Flow
Figure 3 Market Size Estimation Methodology: Bottom-Up Approach
Figure 4 Market Size Estimation Methodology: Top-Down Approach
Figure 5 Market Breakdown & Data Triangulation
Figure 6 AI in Marketing Market, By Offering, 2018–2025
Figure 7 Market, By Deployment Type, 2018–2025
Figure 8 Market, By Technology, 2018 vs 2025
Figure 9 Market, By Application, 2016–2025
Figure 10 Market, By End-User Industry, 2016–2025
Figure 11 Market, By Region, 2018–2025
Figure 12 Increasing Demand for Virtual Assistants Driving Growth of Market
Figure 13 Software to Hold Largest Size of Market Between 2018 and 2025
Figure 14 Cloud Deployment to Hold Largest Size of Market Between 2018 and 2025
Figure 15 Market for Machine Learning to Grow at Highest CAGR During Forecast Period
Figure 16 Search Advertising to Hold Largest Share of Market in 2018
Figure 17 Enterprise to Hold Largest Size of Market By 2025
Figure 18 Market in China to Grow at Highest CAGR During Forecast Period
Figure 19 Market: Drivers, Restraints, Opportunities, and Challenges
Figure 20 Number of Social Media Users, 2010–2021
Figure 21 Time Spent on Social Networking By Internet Users Worldwide, 2012–2017 (Minutes)
Figure 22 Social Media Marketing Respondent Drivers
Figure 23 Software to Hold Largest Size of Market in 2018
Figure 24 Machine Learning Framework to Hold Larger Size of AI Software in Marketing Market for AI Platforms in 2018
Figure 25 Processor to Hold Largest Size of Market for Hardware in 2018
Figure 26 North America to Hold Largest Size of AI in Marketing Market for Services in 2018
Figure 27 Market for Cloud-Based Deployment to Grow at Higher CAGR During Forecast Period
Figure 28 Machine Learning to Hold Largest Share of Market in 2018
Figure 29 Supervised Learning to Hold Largest Size of Market for Machine Learning in 2018
Figure 30 Text Analytics to Hold Largest Size of Market for NLP in 2018
Figure 31 User Context to Hold Largest Size of Market for Context-Aware Computing in 2018
Figure 32 Search Advertising to Hold Largest Size of Market in 2018
Figure 33 Market for Dynamic Pricing in APAC to Grow at Highest CAGR During Forecast Period
Figure 34 North America to Hold Largest Size of Market for Sales & Marketing Automation in 2018
Figure 35 Enterprise to Hold Largest Size of Market By 2025
Figure 36 Market for Retail in APAC to Grow at Highest CAGR During Forecast Period
Figure 37 North America to Hold Largest Size of Market for Media & Advertising in 2018
Figure 38 North America to Hold Largest Size of Market Between 2018 and 2025
Figure 39 North America: Market Snapshot
Figure 40 US to Hold Largest Size of Market in North America in 2018
Figure 41 Europe: Market Snapshot
Figure 42 UK to Hold Largest Size of Market in Europe in 2018
Figure 43 APAC: AI in Marketing Market Snapshot
Figure 44 China to Hold Largest Size of Market in APAC in 2018
Figure 45 South America to Hold Largest Size of Market in RoW in 2018
Figure 46 Companies Adopted Product Launches as Key Growth Strategy Between 2015 and 2017
Figure 47 Nvidia: Company Snapshot
Figure 48 Intel: Company Snapshot
Figure 49 Xilinx: Company Snapshot
Figure 50 Samsung Electronics: Company Snapshot
Figure 51 Micron: Company Snapshot
Figure 52 IBM: Company Snapshot
Figure 53 Alphabet: Company Snapshot
Figure 54 Microsoft: Company Snapshot
Figure 55 Facebook: Company Snapshot
Figure 56 Amazon: Company Snapshot
Figure 57 Salesforce: Company Snapshot
Figure 58 Baidu: Company Snapshot
Figure 59 Albert Technologies: Company Snapshot


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