Germany AI in image recognition market is estimated to grow significantly at a CAGR of over 28% during the forecast period. Germany is the fourth-largest economy globally and largest in Europe. The country is expected to be the largest player in AI in image recognition in the region. The dominance of Germany in the market is high usage of technology in the automotive, BFSI and security. Germany is a major automotive manufacturing hub globally and the sector contributes 15-20% of the total economy of the country. The major automotive manufacturer which are headquartered in Germany includes BMW, MAN, Daimler AG, and Volkswagen. Along with OEM, the country has a well-renowned supplier base that supplies its products across the globe. The growing automotive industry may also contribute to the demand for AI in image recognition technology owing to the increasing demand for connected cars and ADAS

The market is segmented on the basis of product type and end-user. Based on the product type, the market is bifurcated into hardware and software. The market for software is growing owing to the increasing demand for highly accurate facial analysis on video and images. Based on end-user, the market is segmented into automotive, BFSI, healthcare, security, and retail. Growing adoption of image recognition software for security as well as customer identification is the most common factor contributing to the growth of the BFSI segment.

A number of startups are working on image recognition technology in the country. Chatshopper is a startup in the country which is working to make search conversational in the fashion industry. The company has introduced the bot Emma which can send the product suggestions based on the shopping requests. Another startup is MotionsCloud which provides a claims solution for P&C insurers in order to streamline and automate claims processes. By the use of software, the claim cycle has been reduced to hours from days and the claim expenses can be reduced up to 75%. For this, the company is integrating mobile, AI image recognition, and video-enabled technologies into the system.

Research Methodology

The market study of the Germany AI in image recognition market is incorporated by extensive primary and secondary research conducted by the research team.  Secondary research has been conducted to refine the available data to breakdown the market in various segments, derive total market size, market forecast, and growth rate. Different approaches have been worked on to derive the market value and market growth rate. In the report, the analysis of the country is provided by analyzing various regional tax laws and policies, consumer behavior and macro-economic factors. Numbers extracted from Secondary research have been authenticated by conducting proper primary research. It includes tracking down key people from the industry and interviewing them to validate the data. This enables our analyst to derive the closest possible figures without any major deviations in the actual number. Our analysts try to contact as many executives, managers, key opinion leaders, and industry experts. Primary research brings authenticity to our reports.

Secondary Sources Include

• Financial reports of companies involved in the market.
• Authentic public databases
• Whitepapers, research-papers, and news blogs.
• Company websites and their product catalog.

The report is intended for IT companies, automobile companies, BFSI companies, private companies, healthcare companies, research institutes, hospitals, and government organizations for overall market analysis, and competitive analysis. The report provides an in-depth analysis of pricing, market size, and future market opportunities. The report will serve as a source for 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions.

Market Segmentation

1. Germany AI in Image Recognition Market Research and Analysis by Product Type

2. Germany AI in Image Recognition Market Research and Analysis by End-User 

The Report Covers

• Comprehensive research methodology of the Germany AI in image recognition market.
• This report also includes a detailed and extensive market overview with key analyst insights.
• An exhaustive analysis of macro and micro factors influencing the market guided by key recommendations.
• Analysis of regional regulations and other government policies impacting the Germany AI in image recognition market.
• Insights about market determinants which are stimulating the Germany AI in image recognition market.
• Detailed and extensive market segments with regional distribution of forecasted revenues.
• Extensive profiles and recent developments of market players.