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Image Recognition Market 2020-2027 | Latest Trending Report with Analysis and Future Growth Opportunities

01-18-2021 03:07 PM CET | IT, New Media & Software

Press release from: Allied Market Research

Image Recognition Market

Image Recognition Market

The global image recognition market was valued at $17,911 million in 2017, and is projected to reach $86,001 million by 2025, growing at a CAGR of 21.8% from 2018 to 2025.

The report offers key drivers that propel the growth in the image recognition market. These insights help market players in devising strategies to gain market presence. The research also outlined restraints of the market. Insights on opportunities are mentioned to assist market players in taking further steps by determining potential in untapped regions.

Access Full Summery Report: https://www.alliedmarketresearch.com/image-recognition-market

The market is evaluated based on its regional penetration, explaining the performance of the market in each regional market covering provinces such as North America (United States, Canada and Mexico), Europe (Germany, France, UK, Russia and Italy), Asia-Pacific (China, Japan, Korea, India and Southeast Asia), South America (Brazil, Argentina, Colombia), Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa).

Key drivers that are propelling the growth of the market included in the report. Additionally, challenges and restraining factors that are likely to curb the growth of the market are put forth by the analysts to prepare the business for future challenges in advance.

Get sample report for more details: https://www.alliedmarketresearch.com/request-sample/5075

Some of the key image recognition market players profiled in the report include IBM Corporation, Imagga Technologies Ltd., Amazon Web Services, Inc., Qualcomm Incorporated, Google LLC, Microsoft Corporation, NEC Corporation, LTU technologies, Catchoom Technologies S.L., and Intel Corporation.

The research offers a detailed segmentation of the image recognition market. Key segments analyzed in the research include Deployment Mode Type, Component Type, Geography and more. Extensive analysis of sales, revenue, growth rate, and market share of each Deployment Mode Type, Component Type for the historic period and the forecast period is offered with the help of tables.

Inquiry more about this report: https://www.alliedmarketresearch.com/purchase-enquiry/5075

Key Findings of the Image Recognition Market:

By deployment mode, the cloud segment is expected to exhibit significant growth in the global image recognition market during the forecast period.

In 2017, the services segment accounted for the highest revenue in the component category.
Based on industry vertical, the retail segment generated the highest revenue in 2017.

Based on technology, the object detection generated the highest revenue in 2017.

By application, the augmented reality segment is expected to exhibit significant growth in the global image recognition market during the forecast period.

Based on region, Asia-Pacific is anticipated to exhibit substantial growth during the forecast period.

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About Us:
Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of "Market Research Reports" and "Business Intelligence Solutions." AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Each and every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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