세계의 스마트 안면 인식 단말기 시장 인사이트, 예측(-2030년)
Global Smart Facial Recognition Terminal Market Insights, Forecast to 2030
상품코드 : 1496848
리서치사 : QYResearch
발행일 : 2024년 06월
페이지 정보 : 영문
 라이선스 & 가격 (부가세 별도)
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한글목차

세계 스마트 안면 인식 단말기 시장 규모는 2024년 11억 1,736만 달러에서 2030년까지 19억 524만 달러에 달할 것으로 예상되며, 예측 기간 동안 연평균 9.30% 성장할 것으로 예상됩니다.

미국 및 캐나다 시장은 2024년 2억 6,212만 달러에서 2030년까지 4억 4,303만 달러에 달할 것으로 예상되며, 예측 기간 동안 9.14%의 CAGR을 기록할 것으로 예상됩니다.

중국 시장은 2024년 2억 7,366만 달러에서 2030년까지 4억 9,507만 달러에 달할 것으로 추정되며, 2024-2030년 예측 기간의 CAGR은 10.38%에 달할 것으로 예상됩니다.

유럽 시장은 2024년 3억 60만 달러에서 2030년까지 5억 1,456만 달러에 달할 것으로 예상되며, 2024-2030년 예측 기간 동안 연평균 9.37%의 CAGR을 기록할 것으로 예상됩니다.

세계의 주요 스마트 안면 인식 단말기 제조업체는 ZKTeco, IDEMIA, Cloudwalk, Hikvision, Dahua Technology, Anviz, Suprema, Insigma Group, Megvii Technology, PCI, KEDACOM, Aratek, DNAKE, Hanvon Technology, Adatis, Shandong Well Data, Remsdaq 등입니다.

이 보고서는 세계의 스마트 안면 인식 단말기 시장을 조사 분석했으며, 각 지역별 매출과 수익, 시장 점유율, 주요 업체 순위, 경쟁 상황 등의 정보를 전해드립니다.

목차

제1장 연구 대상 범위

제2장 세계의 스마트 안면 인식 단말기 생산

제3장 주요 요약

제4장 경쟁 : 제조업체별

제5장 시장 규모 : 유형별

제6장 시장 규모 : 용도별

제7장 미국·캐나다

제8장 유럽

제9장 중국

제10장 아시아(중국 제외)

제11장 중동, 아프리카 및 라틴아메리카

제12장 기업 개요

제13장 산업 체인과 판매 채널 분석

제14장 스마트 안면 인식 단말기 시장 역학

제15장 세계의 스마트 안면 인식 단말기 조사의 주요 조사 결과

제16장 부록

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영문 목차

영문목차

The global Smart Facial Recognition Terminal market is projected to grow from US$ 1,117.36 million in 2024 to US$ 1,905.24 million by 2030, at a Compound Annual Growth Rate (CAGR) of 9.30% during the forecast period.

The US & Canada market for Smart Facial Recognition Terminal is estimated to increase from $ 262.12 million in 2024 to reach $ 443.03 million by 2030, at a CAGR of 9.14% during the forecast period of 2024 through 2030.

The China market for Smart Facial Recognition Terminal is estimated to increase from $ 273.66 million in 2024 to reach $ 495.07 million by 2030, at a CAGR of 10.38% during the forecast period of 2024 through 2030.

The Europe market for Smart Facial Recognition Terminal is estimated to increase from $ 300.60 million in 2024 to reach $ 514.56 million by 2030, at a CAGR of 9.37% during the forecast period of 2024 through 2030.

The global key manufacturers of Smart Facial Recognition Terminal include ZKTeco, IDEMIA, Cloudwalk, Hikvision, Dahua Technology, Anviz, Suprema, Insigma Group, Megvii Technology, PCI, KEDACOM, Aratek, DNAKE, Hanvon Technology, Adatis, Shandong Well Data, and Remsdaq, etc.

In terms of production side, this report researches the Smart Facial Recognition Terminal production, growth rate, market share by manufacturers and by region (region level and country level), from 2019 to 2024, and forecast to 2030.

In terms of consumption side, this report focuses on the sales of Smart Facial Recognition Terminal by region (region level and country level), by company, by Type and by Application. from 2019 to 2024 and forecast to 2030.

This report presents an overview of global market for Smart Facial Recognition Terminal, capacity, output, revenue and price. Analyses of the global market trends, with historic market revenue/sales data for 2019 - 2024, estimates for 2024, and projections of CAGR through 2030.

This report researches the key producers of Smart Facial Recognition Terminal, also provides the consumption of main regions and countries. Highlights of the upcoming market potential for Smart Facial Recognition Terminal, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.

This report focuses on the Smart Facial Recognition Terminal sales, revenue, market share and industry ranking of main manufacturers, data from 2019 to 2024. Identification of the major stakeholders in the global Smart Facial Recognition Terminal market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.

This report analyzes the segments data by Type and by Application, sales, revenue, and price, from 2019 to 2030. Evaluation and forecast the market size for Smart Facial Recognition Terminal sales, projected growth trends, production technology, application and end-user industry.

Descriptive company profiles of the major global players, including Shanghai Xihan Technology, RAKINDA, ANVIZ, Remsdaq, Suprema, FaceEx, ZKTeco, Aratek, and Uniview Technologies, etc.

Market Segmentation

By Company

Segment by Type

Segment by Application

Production by Region

Sales by Region

US & Canada

China

Asia (excluding China)

Europe

Middle East, Africa, Latin America

Chapter Outline

Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type and by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.

Chapter 2: Smart Facial Recognition Terminal production/output of global and key producers (regions/countries). It provides a quantitative analysis of the production, and development potential of each producer in the next six years.

Chapter 3: Sales (consumption), revenue of Smart Facial Recognition Terminal in global, regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.

Chapter 4: Detailed analysis of Smart Facial Recognition Terminal manufacturers competitive landscape, price, sales, revenue, market share and industry ranking, etc.

Chapter 5: Provides the analysis of various market segments by Type, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different market segments.

Chapter 6: Provides the analysis of various market segments by Application, covering the sales, revenue, average price, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.

Chapter 7: North America (US & Canada) by Type, by Application and by country, sales, and revenue for each segment.

Chapter 8: Europe by Type, by Application and by country, sales, and revenue for each segment.

Chapter 9: China by Type, and by Application, sales, and revenue for each segment.

Chapter 10: Asia (excluding China) by Type, by Application and by region, sales, and revenue for each segment.

Chapter 11: Middle East, Africa, Latin America by Type, by Application and by country, sales, and revenue for each segment.

Chapter 12: Provides profiles of key manufacturers, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Smart Facial Recognition Terminal sales, revenue, price and gross margin, etc.

Chapter 13: Analysis of industrial chain, sales channel, key raw materials, distributors and customers.

Chapter 14: Introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry.

Chapter 15: The main points and conclusions of the report.

Table of Contents

1 Study Coverage

2 Global Smart Facial Recognition Terminal Production

3 Executive Summary

4 Competition by Manufacturers

5 Market Size by Type

6 Market Size by Application

7 US & Canada

8 Europe

9 China

10 Asia (excluding China)

11 Middle East, Africa and Latin America

12 Corporate Profile

13 Industry Chain and Sales Channels Analysis

14 Smart Facial Recognition Terminal Market Dynamics

15 Key Findings in the Global Smart Facial Recognition Terminal Study

16 Appendix

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