Trends der Image Recognition in CPG 2020: Covid-19-Analyse

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Image recognition technology, power-driven by machine learning, has been surrounded in several fields, such as self-driving vehicles, automated image organization of visual websites, and face identification on social networking websites. One of the most general image identification applications is social media monitoring, as visual analytics and visual listening are the essential factors of digital marketing.

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The necessity for efficient and profitable retail execution processes with adherence to compliance standards is one of the major factors driving the growth of image recognition in the CPG market. Moreover, the integration of AI with image recognition solutions in the CPG industry to improve store performance is anticipated to boost the growth of the market.

The global image recognition in CPG market is segmented on the basis of component, deployment type, application. On the basis of component, the market is segmented as hardware, solution, services. On the basis of deployment type, the market is segmented as cloud, on-premises. On the basis of application, the market is segmented as inventory analysis, product and shelf monitoring analysis, auditing product placement, product placement trend analysis, assessing compliance and competition, category analysis, gauging emotions


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The report also includes the profiles of key image recognition in CPG market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.

- IBM
- Google
- Qualcomm
- Microsoft
- AWS
- Trax
- Catchoom
- Slyce
- LTU Tech
- Imagga

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