According to the most recent analysis by Emergen Research, the global market for smart shelves is anticipated to reach USD 15.34 billion in 2030, with a healthy revenue CAGR of 22.4%. The rising adoption of IoT and RFID technologies in retail is one of the main drivers of market revenue development. Transistors and a Radio Frequency Identification Reader (RFID) sensor that is built into, above, or behind shelves are used to create "smart" shelves. A sensor network that drives digital shelf technology enables automation of retail store inventory. In order to reduce the amount of manual inventory work required by a retail business, a conceptual design and method of operation for sensor-based smart shelves is proposed.

The Global Smart Shelves Market report provides full coverage of the companies’ data, including details about their production and manufacturing capacity, product portfolio, business overview, revenue, gross profit margins, sales network and distribution channel, financial standing, and market position. The report also studies business strategies and strategic alliances undertaken by companies to gain a robust footing in the market.

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Competitive Terrain:

The global Smart Shelves industry is highly consolidated owing to the presence of renowned companies operating across several international and local segments of the market. These players dominate the industry in terms of their strong geographical reach and a large number of production facilities. The companies are intensely competitive against one another and excel in their individual technological capabilities, as well as product development, innovation, and product pricing strategies.

The leading market contenders listed in the report are:

SES-Imagotag, Pricer, Trax Image Recognition, Avery Dennison Corporation, Samsung, E Ink Holding Inc., Intel Corporation, Huawei Technologies Co., Ltd., Honeywell International Inc., and Solum

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Additional information offered by the report:

• Along with a complete overview of the global Smart Shelves market, the report provides detailed scrutiny of the diverse market trends observed on both regional and global levels.
• The report elaborates on the global Smart Shelves market size and share governed by the major geographies.
• It performs a precise market growth forecast analysis, cost analysis, and a study of the micro- and macro-economic indicators.
• It further presents a detailed description of the company profiles of the key market contenders.

Segments Covered in this report are:

• Component Outlook (Revenue, USD Million; 2019–2030)

  • Hardware
    1. Cameras
    2. IoT Sensors
    3. Radio Frequency Identification (RDFI) Tags & Readers
    4. Digital Displays
    5. Electronic Shelf Labels
    6. Other Hardware
  • Software & Solutions
  • Professional Services

• Organization Size Outlook (Revenue, USD Million; 2019–2030)

  • Large Enterprises
  • Small & Medium-Sized Enterprises (SMEs)

• Application Outlook (Revenue, USD Million; 2019–2030)

  • Planogram Management
  • Inventory Management
  • Pricing Management
  • Content Management
  • Other Applications

Radical Highlights of the Smart Shelves Market Report:

• Comprehensive overview of the Smart Shelves market along with analysis of the changing dynamics of the market
• Growth Assessment of various market segments throughout the forecast period
• Regional and global analysis of the market players, including their market share and global position
• Growth strategies adopted by key market players to combat the impact of the COVID-19 pandemic on the market
• Impact of the technological developments and R&D advancements on the Smart Shelves market
• Information about profit-making strategies and developmental strategies of major companies and manufacturers
• Insightful information for the new entrants willing to enter the market
• Details and insights about business expansion strategies, product launches, and other collaborations
• The report incorporates advanced analytical tools such as SWOT analysis, Porter’s Five Forces Analysis, feasibility analysis, and investment return analysis

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