Chapter 1 Introduction
1.1 Executive Summary
1.2 Market Definition
1.3 Scope of the Study
Chapter 2 Research Methodology
2.1 Secondary Research
2.2 Primary Research
2.3 Analytic Tools and Model
2.4 Economic Indicator
2.4.1 Base Year, Base Currency, Forecasting Period
2.5 Expert Validation
2.6 Study Timeline
Chapter 3 Market Analysis
3.1 Industry Value Chain Analysis
3.2Porter's Five Force Analysis
3.2.1 Bargaining Power of Buyers
3.2.2 Bargaining Power of Suppliers
3.2.3 Threats of Substitutes
3.2.4 Threats of New Entrants
3.2.5 Industry Rivalry
3.3 PESTLE Analysis
3.3.1 Political
3.3.2 Economical
3.3.3 Social
3.3.4 Technological
3.3.5 Legal
3.3.6 Environmental
3.4 SWOT Analysis
3.4.1 Strengths
3.4.2 Weakness
3.4.3 Opportunities
3.4.4 Threats
3.5 Y-O-Y Analyses
Chapter 4 Market Dynamics
4.1. Drivers
4.1.1 Urgent Need Among the Companies to Understand the Consumer Behaviour and Growing Number of Hosted ACR Solution Providers
4.1.2 Revenue Generated Benefits of Interactivity, Personalization, and Socialization Imparted by the ACR Technology to the Television Environment
4.1.3 Increasing Deployment of ACR Technologies by Media Companies for Applications Such as Broadcast Monitoring and Audience Measurement
4.1.4 Increasing Integration of ACR in Smart TVs and Second Screen Devices Such as Smartphones and Wearables
4.2 Restraints
4.2.1 Requirement of Additional Bandwidth and Large Server Infrastructure for Applying ACR
4.2.2 Privacy and Security Constraints
4.3 Opportunities
4.3.1 Integration of IoT, Analytics, and Artificial Intelligence with Automatic Content Recognition
4.3.2 Evolving Concept of Contextual Advertising, Contextual Commerce, Enhanced Contextual Experiences, and Spoiler-Proof Social Feeds
4.4 Challenges
4.4.1 Technological Challenges and Complexity of Devising Content Recognition Algorithms
4.4.2 Overcoming the Loopholes in ACR Technologies
Chapter 5 Europe Automatic Content Recognition Market– By Type
5.1 Solution
5.1.1 Audio, Video, and Image Recognition
5.1.2 Voice and Speech Recognition
5.1.3 Real-Time Content Analytics
5.1.4 Security and Copyright Management
5.1.5 Data Management and Metadata
5.1.6 Content Aggregation, Processing, Filtering, and Enhancement
5.1.7 Encoding and Transcoding
5.1.8 Broadcast and Media Monitoring
5.1.9 Media Synchronization
5.1.10 Audience Measurement
5.2 Services
5.2.1 Professional Services
5.2.1.1 Consulting Services
5.2.1.2 Integration and Deployment Services
5.2.1.3 Support Services
5.2.2 Managed Services
5.2.3 Value-Added Services
Chapter 6 Europe Automatic Content Recognition Market– By Technology
6.1 Acoustic and Digital Video Fingerprinting
6.2 Digital Audio, Video, and Image Watermarking
6.3 Optical Character Recognition
6.4 Speech Recognition
Chapter 7 Europe Automatic Content Recognition Market- By End-Users
7.2 Media and Entertainment
7.3 Consumer Electronics
7.4 E-Commerce
7.5 Education
7.6 Automotive
7.7 IT and Telecommunication
7.8 Healthcare
7.9 Defense and Public Safety
7.10 Avionics
7.11 Others
Chapter 8 Europe Automatic Content Recognition Market- By Geography
8.1 Introduction
8.2 U.K.
8.3 Germany
8.4 France
8.5 Italy
8.6 Spain
8.7 Rest of Europe
Chapter 9 Europe Automatic Content Recognition Market- Company Profiles
9.1 Arcsoft, Inc.
9.2 Digimarc Corporation
9.3 Google Inc.
9.4 Microsoft Corporation
9.5 ACR Cloud
9.6 Samsung group
9.7 Audible Magic
9.8 Civolution Company
9.9 Vobile, Inc.
9.10 Mufin GmbH
9.11 Gracenote, Inc.
9.12 Shazam Entertainment Ltd.
Chapter 10 Europe Automatic Content Recognition Market- Competitive Landscape
10.1. Market Share Analysis
10.2. Strategies Adopted by top companies
10.3. Mergers, Acquisitions, Collaborations & Agreements
Chapter 11 Market Insights
11.1. Industry Experts Insights
11.2. Analysts Opinions
11.3. Investment Opportunities
Chapter 12 Appendix
12.1 List of Tables
12.2 List of Figures
