HOME Top Market Reports Cognitive Media Market by Technology (Deep Learning & Machine Learning, NLP), Application (Content Management, Network Optimization, Predictive Analysis), Component (Solutions, Services), Deployment, Enterprise Size, and Region - Global Forecast to 2023

Cognitive Media Market by Technology (Deep Learning & Machine Learning, NLP), Application (Content Management, Network Optimization, Predictive Analysis), Component (Solutions, Services), Deployment, Enterprise Size, and Region - Global Forecast to 2023

By: marketsandmarkets.com
Publishing Date: August 2018
Report Code: TC 6500

 

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MarketsandMarkets expects the global cognitive media market size to reach USD 1,839.1 million by 2023 from USD 396.7 million in 2017, growing at a Compound Annual Growth Rate (CAGR) of 27.2% during the forecast period. The base year for the study is 2017 and the forecast period is 2018–2023.

The increasing adoption of the cognitive computing technology for various applications in the media industry and demand for automated workflows in content creation and distribution are major growth drivers for the global cognitive media market.

The objective of the report is to define, describe, and forecast the size of the cognitive media market by technology, application, component, enterprise size, deployment mode, and region. The report also aims at providing detailed information about the major factors, such as drivers, restraints, opportunities, and challenges, influencing the growth of the market.

The research methodology used to estimate and forecast the global cognitive media market size began with capturing data from key vendors’ revenue through secondary research, annual reports, government, publishing sources, the Institute of Electrical and Electronics Engineers (IEEE), Factiva, Bloomberg, and press releases. The vendor offerings were also considered to determine the market segmentation. The bottom-up procedure was employed to arrive at the overall global market size from the revenues of key market players. After arriving at the overall market size, the total market was split into several segments and subsegments, which were then verified through primary research by conducting extensive interviews with key individuals, such as Chief Executive Officers (CEOs), Vice Presidents (VPs), directors, and executives. The data triangulation and market breakdown procedures were employed to complete the overall market engineering process and arrive at the exact statistics for all the segments and subsegments. The figure below depicts the break-up of the primary participants’ profiles:

Cognitive Media Market

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

Major vendors in the global cognitive media market include Microsoft (US), Google (US), AWS (US), Adobe (US), IBM (US), nVIDIA (US), Salesforce (US), Baidu (China), Crimson Hexagon (US), Veritone (US), Bytedance (China), Acrolinx (Germany), Zeta Global (US), Kitewheel (US), Clarifai (US), Axle.ai (US), Albert (US), Kenshoo (Israel), Spotad (Israel), Valossa (Finland), Emarsys (Austria), Soundhound Inc. (US), Video Intelligence (Switzerland), MiQ (UK), Phrasee (UK), NewsRx (US), and TrendKite (US).

Target Audience:

  • Media software tools, platforms, and service providers
  • Device manufacturers
  • System integrators
  • Small and Medium-sized Enterprises (SMEs) in the media industry
  • Advertising agencies
  • Marketing agencies
  • Media publishers
  • Bloggers

“The study answers several questions for stakeholders; primarily, which market segments to focus on in the next 2 to 5 years for prioritizing their efforts and investments.”

Scope of the Report

The report segments the global cognitive media market by technology, application, component, enterprise size, deployment mode, and region:

By Technology

  • Deep Learning and Machine Learning
  • Natural Language Processing

By Application

  • Content Management
  • Network Optimization
  • Recommendation and Personalization
  • Customer Retention
  • Predictive Analysis
  • Security Management
  • Others (Campaign Analysis, Digital Publishing, and Online Gaming)

By Component

  • Solutions
    • Software Tools
    • Platforms
  • Services
    • Support and Maintenance
    • Deployment and Integration
    • Training and Consulting

By Enterprise Size

  • Small and Medium-sized Enterprises (SMEs)
  • Large Enterprises

By Deployment Mode

  • Cloud
  • On-premises

By Region

  • North America
  • Europe
  • Asia Pacific (APAC)
  • Middle East and Africa (MEA)
  • Latin America

Drivers

Automation of workflow in the media sector with the help of cognitive computing

In the media sector, it has been difficult to classify unstructured audio and video data, thus compelling media buyers to integrate the AI technology with the content supply chain. In addition, the manual process of tagging content is very time-consuming and expensive, and therefore, to improve the efficiency of the content, media professionals are adopting AI-based solutions. 

Increasing demand for improved content creation drives the adoption of cognitive computing

The increasing demand for developing engaging content to reduce customer churn is driving the adoption of the AI technology in the media sector. Machine learning can automate content creation workflows, which will help content writers create more customer-engaging content. Machine learning enables content writers to be more efficient in writing content and helps them drive new revenue streams. Content creation uses 2 technologies, namely, NLP and Natural Language Generation (NLG) to produce fact-driven content that helps in content marketing.

Restraints

Slow digitalization rate affects the adoption of the cognitive computing technology in emerging economies

Due to the lack of funds for the basic requirements of IT infrastructures in the developing countries, deploying cognitive computing tools is completely dependent on the available IT infrastructures, data, and the Internet of Things (IoT) devices, which help capture instances to generate accurate results. Technological developments, cloud infrastructures, big data, and organized data filing play a vital role in the successful utilization of the cognitive computing technology in the media sector.

Opportunities

Increasing investments in the media sector

There is a need to invest in the media sector as the sector faces problems, such as shortage of skilled AI professionals and automation of workflows to improve the content creation and distribution processes. Additionally, the media industry is facing a lack of skilled AI experts and manual workflows, which distracts the marketing teams from focusing on their content strategy. Media companies are investing in the AI technology to understand their audience preferences and deliver content according to their taste. Private enterprises are also contributing to the media sector by opening new startups and innovating new applications to enrich the content metadata.

Cognitive computing can generate new revenue streams for media companies

The AI technology is transforming the traditional process of content creation and distribution by automating workflows and minimizing the time consumed for these processes. It is also helping improve the efficiency and cost-effectiveness of the content distribution process. The cognitive computing technology eliminates human intervention and automates processes, and this helps media companies in improving their revenues and profitability.

Challenges

Lack of skilled AI experts

The evolution of technology is leading to a lack of skilled professionals for AI predictive modeling, programmatic marketing, Augmented Reality/Virtual Reality (AR/VR), data privacy, and adblocking. There are a limited number of skilled AI professionals, and this lack is hindering the adoption of cognitive computing in the media sector. The adoption of the cognitive computing technology is in its nascent phase in the media industry, and thus there is a huge demand for AI scientists in a variety of domains, such as machine learning, image recognition, and NLP.

Lack of regulations and standards to manage the increasing unstructured data

The growth in the use of content in the media industry has increased the amount of unstructured data, and organizations are unable to directly analyze the growing content, such as images, videos, and audios. The increasing amount of unstructured data may create data privacy issues. Several solutions may provide useful information from metadata and comments associated with the content in the media industry.

New Product/Service Launches and Product/Service Enhancements, 2015–2018

Date

Company Name

Development

May 2018

Google (US)

Google enhanced its AI-powered Google News app, designed using the machine learning technology. It helps find relevant news based on readers’ reading habits.

May 2018

Google (US)

Google enhanced its AI-powered voice assistant, called Google Assistant, which is available across all Google products, such as Google Maps, Google News, and Gmail. The conversational assistant helps understand multiple questions and provides relevant answers in response.

Agreements and Partnerships, 2016–2018

Date

Type of Strategy

Company Name

Development

March 2018

Collaboration

Baidu (China) and Skyworth (China)

Baidu announced a strategic partnership with Skyworth, a leading Chinese electrical household appliance maker. This partnership would enable the company’s AI capabilities.

December 2017

Partnership

Baidu (China) and Xiaomi (China)

Baidu partnered with Xiaomi, China’s biggest smartphone maker, to invest in AI-driven technologies. This partnership would enable the company to expand its ecosystem in AI.

Acquisitions, 2015–2018

Date

Company Name

Development

July 2017

Google (US)

Google acquired Halli Labs, an India-based AI startup, focused on machine learning and deep learning systems. Halli Labs would join the Next Billion Users’ team of Google to make technology and information available to the maximum number of people around the world.

July 2017

Baidu (China)

Baidu acquired Kitt.ai, an NLP company, to make its AI operating DuerOS fully compatible with the IoT.

Business Expansions, 2016–2018

Date

Company Name

Development

November 2017

AWS (US)

AWS opened a cloud-based innovation center for California Polytechnic State University (Cal Poly). The innovation center accelerates digital transformation in the government and non-profit sectors using the cloud technology.

December 2016

AWS (US)

AWS announced its expansion in the European region. This expansion would help AWS run its mission-critical workloads and store sensitive data on AWS infrastructures, locally.

Available Customizations

With the given market data, MarketsandMarkets offers customizations as per the company’s specific needs. The following customization options are available for the report:

Geographic Analysis

  • Further breakdown of the North American cognitive media market
  • Further breakdown of the European market
  • Further breakdown of the APAC market
  • Further breakdown of the MEA market
  • Further breakdown of the Latin American market

Company Information

  • Detailed analysis and profiling of additional market players

Table of Contents

1 Introduction (Page No. - 17)
    1.1 Objectives of the Study
    1.2 Market Definition
    1.3 Market Scope
    1.4 Years Considered for the Study
    1.5 Currency
    1.6 Stakeholders

2 Research Methodology (Page No. - 21)
    2.1 Research Data
           2.1.1 Secondary Data
           2.1.2 Primary Data
                    2.1.2.1 Breakdown of Primaries
                    2.1.2.2 Key Industry Insights
    2.2 Market Size Estimation
           2.2.1 Bottom-Up Approach
           2.2.2 Top-Down Approach
    2.3 Research Assumptions
    2.4 Limitations

3 Executive Summary (Page No. - 27)

4 Premium Insights (Page No. - 33)
    4.1 Attractive Opportunities in the Cognitive Media Market
    4.2 Market Top 3 Applications
    4.3 Market Top 3 Services and Regions
    4.4 Market Potential, By Region
    4.5 Market By Deployment Mode
    4.6 Market By Region

5 Market Overview and Industry Trends (Page No. - 37)
    5.1 Introduction
    5.2 Market Dynamics
           5.2.1 Drivers
                    5.2.1.1 Automation of Workflow in the Media Sector With the Help of Cognitive Computing
                    5.2.1.2 Increasing Demand for Improved Content Creation Drives the Adoption of Cognitive Computing
                    5.2.1.3 Utilization of Cognitive Computing to Combat the Increasing Pressure for Detecting Illegal Content
                    5.2.1.4 Increasing Number of AI Startups in the Media Industry is Paving the Way for Intense Competition
           5.2.2 Restraints
                    5.2.2.1 Slow Digitalization Rate Affects the Adoption of the Cognitive Computing Technology in Emerging Economies
           5.2.3 Opportunities
                    5.2.3.1 Increasing Investments in the Media Sector
                    5.2.3.2 Cognitive Computing Can Generate New Revenue Streams for Media Companies
           5.2.4 Challenges
                    5.2.4.1 Lack of Skilled AI Experts
                    5.2.4.2 Lack of Regulations and Standards to Manage the Increasing Unstructured Data
    5.3 Use Cases
           5.3.1 Introduction
                    5.3.1.1 Use Case: Scenario 1
                    5.3.1.2 Use Case: Scenario 2
                    5.3.1.3 Use Case: Scenario 3
                    5.3.1.4 Use Case: Scenario 4
                    5.3.1.5 Use Case: Scenario 5
                    5.3.1.6 Use Case: Scenario 6
    5.4 Regulatory Implications
           5.4.1 Introduction
           5.4.2 Sarbanes-Oxley Act 2002
           5.4.3 General Data Protection Regulation
           5.4.4 Basel

6 Cognitive Media Market, By Technology (Page No. - 44)
    6.1 Introduction
    6.2 Deep Learning and Machine Learning
    6.3 Natural Language Processing

7 Market By Application (Page No. - 48)
    7.1 Introduction
    7.2 Content Management
    7.3 Network Optimization
    7.4 Recommendation and Personalization
    7.5 Customer Retention
    7.6 Predictive Analysis
    7.7 Security Management
    7.8 Others

8 Cognitive Media Market, By Component (Page No. - 56)
    8.1 Introduction
    8.2 Solutions
           8.2.1 Software Tools
           8.2.2 Platforms
    8.3 Services
           8.3.1 Support and Maintenance
           8.3.2 Deployment and Integration
           8.3.3 Training and Consulting

9 Cognitive Media Market, By Deployment Mode (Page No. - 64)
    9.1 Introduction
    9.2 Cloud
    9.3 On-Premises

10 Market By Enterprise Size (Page No. - 68)
     10.1 Introduction
     10.2 Small and Medium-Sized Enterprises
     10.3 Large Enterprises

11 Cognitive Media Market, By Region (Page No. - 72)
     11.1 Introduction
     11.2 North America
             11.2.1 United States
             11.2.2 Canada
     11.3 Europe
             11.3.1 United Kingdom
             11.3.2 Germany
             11.3.3 France
             11.3.4 Rest of Europe
     11.4 Asia Pacific
             11.4.1 China
             11.4.2 Japan
             11.4.3 India
             11.4.4 Rest of Asia Pacific
     11.5 Middle East and Africa
             11.5.1 United Arab Emirates
             11.5.2 South Africa
             11.5.3 Rest of Middle East and Africa
     11.6 Latin America
             11.6.1 Brazil
             11.6.2 Mexico
             11.6.3 Rest of Latin America

12 Competitive Landscape (Page No. - 102)
     12.1 Overview
     12.2 Top Players Operating in the Cognitive Media Market
     12.3 Competitive Scenario
             12.3.1 New Product/Service Launches and Product/Service Enhancements
             12.3.2 Agreements and Partnerships
             12.3.3 Acquisitions
             12.3.4 Business Expansions

13 Company Profiles (Page No. - 108)
(Business Overview, Products and Services Offered, Recent Developments, SWOT Analysis, and MnM View)
     13.1 Introduction
     13.2 IBM
     13.3 Google
     13.4 AWS
     13.5 Microsoft
     13.6 Salesforce
     13.7 Adobe
     13.8 Baidu
     13.9 Nvidia
     13.10 Veritone
     13.11 Albert
     13.12 Crimson Hexagon
     13.13 Newsrx
     13.14 Bytedance
     13.15 Valossa
     13.16 Soundhound Inc.
     13.17 Kenshoo
     13.18 Zeta Global
     13.19 Kitewheel
     13.20 Clarifai
     13.21 Spotad
     13.22 Video Intelligence AG
     13.23 Trendkite
     13.24 Emarsys
     13.25 Axle.AI
     13.26 Miq
     13.27 Acrolinx
     13.28 Phrasee

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

14 Appendix (Page No. - 157)
     14.1 Industry Excerpts
     14.2 Discussion Guide
     14.3 Knowledge Store: Marketsandmarkets’ Subscription Portal
     14.4 Available Customizations
     14.5 Related Reports
     14.6 Author Details


List of Tables (79 Tables)

Table 1 United States Dollar Exchange Rate, 2015–2017
Table 2 Global Cognitive Media Market Size and Growth Rate, 2016–2023 (USD Million, Y-O-Y%)
Table 3 Total Amount Invested in Artificial Intelligence Startups During 2010–2015 Worldwide
Table 4 Cognitive Media Market Size, By Technology, 2016–2023 (USD Million)
Table 5 Deep Learning and Machine Learning: Market Size By Region, 2016–2023 (USD Million)
Table 6 Natural Language Processing: Market Size By Region, 2016–2023 (USD Million)
Table 7 Cognitive Media Market Size, By Application, 2016–2023 (USD Million)
Table 8 Content Management: Market Size By Region, 2016–2023 (USD Million)
Table 9 Network Optimization: Market Size By Region, 2016–2023 (USD Million)
Table 10 Recommendation and Personalization: Market Size By Region, 2016–2023 (USD Million)
Table 11 Customer Retention: Market Size By Region, 2016–2023 (USD Million)
Table 12 Predictive Analysis: Market Size By Region, 2016–2023 (USD Million)
Table 13 Security Management: Market Size By Region, 2016–2023 (USD Million)
Table 14 Others: Market Size By Region, 2016–2023 (USD Million)
Table 15 Cognitive Media Market Size, By Component, 2016–2023 (USD Million)
Table 16 Solutions: Market Size By Type, 2016–2023 (USD Million)
Table 17 Software Tools Market Size, By Region, 2016–2023 (USD Million)
Table 18 Platforms Market Size, By Region, 2016–2023 (USD Million)
Table 19 Services: Market Size By Type, 2016–2023 (USD Million)
Table 20 Support and Maintenance Market Size, By Region, 2016–2023 (USD Million)
Table 21 Deployment and Integration Market Size, By Region, 2016–2023 (USD Million)
Table 22 Training and Consulting Market Size, By Region, 2016–2023 (USD Million)
Table 23 Cognitive Media Market Size, By Deployment Mode, 2016–2023 (USD Million)
Table 24 Cloud: Market Size By Region, 2016–2023 (USD Million)
Table 25 On-Premises: Market Size By Region, 2016–2023 (USD Million)
Table 26 Cognitive Media Market Size, By Enterprise Size, 2016–2023 (USD Million)
Table 27 Small and Medium-Sized Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 28 Large Enterprises: Market Size By Region, 2016–2023 (USD Million)
Table 29 Global Cognitive Media Market Size, By Region, 2016–2023 (USD Million)
Table 30 Major Media Agencies in North America, Till January 2018
Table 31 North America: Market Size By Country, 2016–2023 (USD Million)
Table 32 North America: Market Size By Technology, 2016–2023 (USD Million)
Table 33 North America: Market Size By Application, 2016–2023 (USD Million)
Table 34 North America: Market Size By Component, 2016–2023 (USD Million)
Table 35 North America: Market Size By Solution, 2016–2023 (USD Million)
Table 36 North America: Market Size By Service, 2016–2023 (USD Million)
Table 37 North America: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 38 North America: Market Size By Enterprise Size, 2016–2023 (USD Million)
Table 39 Major Media Agencies in Europe, Till January 2018
Table 40 Europe: Cognitive Media Market Size, By Country, 2016–2023 (USD Million)
Table 41 Europe: Market Size By Technology, 2016–2023 (USD Million)
Table 42 Europe: Market Size By Application, 2016–2023 (USD Million)
Table 43 Europe: Market Size By Component, 2016–2023 (USD Million)
Table 44 Europe: Market Size By Solution, 2016–2023 (USD Million)
Table 45 Europe: Market Size By Service, 2016–2023 (USD Million)
Table 46 Europe: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 47 Europe: Market Size By Enterprise Size, 2016–2023 (USD Million)
Table 48 Major Media Agencies in Asia Pacific, Till January 2018
Table 49 Asia Pacific: Cognitive Media Market Size, By Country, 2016–2023 (USD Million)
Table 50 Asia Pacific: Market Size By Technology, 2016–2023 (USD Million)
Table 51 Asia Pacific: Market Size By Application, 2016–2023 (USD Million)
Table 52 Asia Pacific: Market Size By Component, 2016–2023 (USD Million)
Table 53 Asia Pacific: Market Size By Solution, 2016–2023 (USD Million)
Table 54 Asia Pacific: Market Size By Service, 2016–2023 (USD Million)
Table 55 Asia Pacific: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 56 Asia Pacific: Market Size By Enterprise Size, 2016–2023 (USD Million)
Table 57 Major Media Agencies in Middle East and Africa, Till January 2018
Table 58 Middle East and Africa: Cognitive Media Market Size, By Country, 2016–2023 (USD Million)
Table 59 Middle East and Africa: Market Size By Technology, 2016–2023 (USD Million)
Table 60 Middle East and Africa: Market Size By Application, 2016–2023 (USD Million)
Table 61 Middle East and Africa: Market Size By Component, 2016–2023 (USD Million)
Table 62 Middle East and Africa: Market Size By Solution, 2016–2023 (USD Million)
Table 63 Middle East and Africa: Market Size By Service, 2016–2023 (USD Million)
Table 64 Middle East and Africa: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 65 Middle East and Africa: Market Size By Enterprise Size, 2016–2023 (USD Million)
Table 66 Major Media Agencies in Latin America, Till January 2018
Table 67 Latin America: Cognitive Media Market Size, By Country, 2016–2023 (USD Million)
Table 68 Latin America: Market Size By Technology, 2016–2023 (USD Million)
Table 69 Latin America: Market Size By Application, 2016–2023 (USD Million)
Table 70 Latin America: Market Size By Component, 2016–2023 (USD Million)
Table 71 Latin America: Market Size By Solution, 2016–2023 (USD Million)
Table 72 Latin America: Market Size By Service, 2016–2023 (USD Million)
Table 73 Latin America: Market Size By Deployment Mode, 2016–2023 (USD Million)
Table 74 Latin America: Market Size By Enterprise Size, 2016–2023 (USD Million)
Table 75 Market Ranking for Cognitive Media Market, 2018
Table 76 New Product/Service Launches and Product/Service Enhancements, 2015–2018
Table 77 Agreements and Partnerships, 2016–2018
Table 78 Acquisitions, 2015–2018
Table 79 Business Expansions, 2016–2018


List of Figures (59 Figures)

Figure 1 Global Cognitive Media Market Segmentation
Figure 2 Global Market Regional Scope
Figure 3 Cognitive Media Market: Research Design
Figure 4 Breakdown of Primary Interviews: By Company, Designation, and Region
Figure 5 Data Triangulation
Figure 6 Market Size Estimation Methodology: Bottom-Up Approach
Figure 7 Market Size Estimation Methodology: Top-Down Approach
Figure 8 North America is Estimated to Have the Highest Market Share in 2018
Figure 9 Cognitive Media Market Snapshot, By Technology, 2017
Figure 10 Market Snapshot By Application, 2017
Figure 11 Market Snapshot By Component, 2017
Figure 12 Market Snapshot By Solution, 2017
Figure 13 Market Snapshot By Service, 2017
Figure 14 Market Snapshot By Deployment Mode, 2017
Figure 15 Market Snapshot By Enterprise Size, 2017
Figure 16 The Global Cognitive Media Market is Expected to Witness Significant Growth During the Forecast Period
Figure 17 Predictive Analysis Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 18 Support and Maintenance, and North America are Estimated to Hold the Highest Market Shares in the Cognitive Media Market in 2018
Figure 19 Asia Pacific is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 20 Cloud Deployment Mode is Expected to Hold the Larger Market Size During the Forecast Period
Figure 21 North America is Estimated to Have the Highest Market Share in 2018
Figure 22 Market Investment Scenario: Asia Pacific is Expected to Be the Best Region for Investment During the Forecast Period
Figure 23 Cognitive Media Market: Drivers, Restraints, Opportunities, and Challenges
Figure 24 Cognitive Computing Capabilities By Number of Transactions (2012-2015)
Figure 25 Natural Language Processing Technology is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Predictive Analysis Application is Expected to Witness the Highest CAGR During the Forecast Period
Figure 27 Services Segment is Expected to Exhibit A Higher CAGR During the Forecast Period
Figure 28 Platforms Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 29 Support and Maintenance Segment is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 30 Cloud Deployment Mode is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 31 Small and Medium-Sized Enterprises Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 32 North America is Estimated to Account for the Largest Market Size in 2018
Figure 33 Asia Pacific is Expected to Register the Highest CAGR During the Forecast Period
Figure 34 Worldwide Media Spending, By Region, 2018
Figure 35 North America: Market Snapshot
Figure 36 North America: Cognitive Media Market, By Application
Figure 37 Europe: Market By Application
Figure 38 Asia Pacific: Market Snapshot
Figure 39 Asia Pacific: Market By Application
Figure 40 Middle East and Africa: Market By Application
Figure 41 Latin America: Cognitive Media Market, By Application
Figure 42 Key Developments By Leading Players in the Cognitive Media Market During 2015–2018
Figure 43 IBM: Company Snapshot
Figure 44 IBM: SWOT Analysis
Figure 45 Google: Company Snapshot
Figure 46 Google: SWOT Analysis
Figure 47 AWS: Company Snapshot
Figure 48 AWS: SWOT Analysis
Figure 49 Microsoft: Company Snapshot
Figure 50 Microsoft: SWOT Analysis
Figure 51 Salesforce: Company Snapshot
Figure 52 Salesforce: SWOT Analysis
Figure 53 Adobe: Company Snapshot
Figure 54 Adobe: SWOT Analysis
Figure 55 Baidu: Company Snapshot
Figure 56 Baidu: SWOT Analysis
Figure 57 Nvidia: Company Snapshot
Figure 58 Veritone: Company Snapshot
Figure 59 Albert: Company Snapshot

MarketsandMarkets expects the global cognitive media market size to grow from USD 551.4 million in 2018 to USD 1,839.1 million by 2023, at a Compound Annual Growth Rate (CAGR) of 27.2% during the forecast period. Major growth drivers for the market include automation of workflow in the media sector, an increasing demand for improved content creation, utilization of cognitive computing to combat the increasing pressure for detecting illegal content, and an increasing number of AI startups in the media industry.

The cognitive media market by technology has been segments of deep learning and machine learning, and natural language processing. The media enterprises utilize machine learning and deep learning technology for content management and providing immersive customer experience.

Major cognitive media applications are content management, network optimization, recommendation and personalization, customer retention, predictive analysis, security management, and others (campaign analysis, online gaming, and digital publishing). The content management application is expected to hold the largest market size in the global cognitive media market by application during the forecast period. Many media firms are adopting AI technology for the content management application for enhanced customization and personalization leading to customer engagement.

The cognitive media market by deployment type has 2 segments: the cloud and on-premises. The cloud deployment mode is projected to hold the larger market size by growing at a faster rate during the forecast period. Due to high infrastructure costs, most of the media companies prefer cloud-based solutions for enhanced security.

In the cognitive media by enterprise size, the Small and Medium-sized Enterprises (SMEs) segment is expected to grow at a higher CAGR during the forecast period. An increasing demand among media SMEs for the AI-based technology powered solutions could accelerate the market growth.

Cognitive Media Market

North America is expected to hold the largest market size in the global market, while APAC to grow at the highest CAGR during the forecast period. As North America has witnessed increased investments in the market, the cognitive media market in the region will record a considerable growth during the forecast period. The North American media enterprises effectively use AI technologies for various applications, such as content management, personalization and recommendation, network optimization, customer retention, predictive analysis, security management, and others (campaign analysis, online gaming, and digital publishing).

The global cognitive media market faces many challenges including the lack of regulations and standards to manage the increasing unstructured data and lack of AI skilled experts to assist in integration of cognitive solutions.

Major vendors in the global cognitive media market include Microsoft (US), Google (US), AWS (US), Adobe (US), IBM (US), nVIDIA (US), Salesforce (US), Baidu(China), Crimson Hexagon (US), Veritone (US), Bytedance (China), Acrolinx (Germany), Zeta Global (US), Kitewheel (US), Clarifai (US), Axle.ai (US), Albert (US), Kenshoo (Israel), Spotad (Israel), Valossa (Finland), Emarsys (Austria), Soundhound Inc. (US), Video Intelligence (Switzerland), MiQ (UK), Phrasee (UK), NewsRx (US), and TrendKite (US). These vendors have adopted different types of organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global cognitive media market.

To speak to our analyst for a discussion on the above findings, click Speak to Analyst

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