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全球云端分析市场：预测（2023-2028）
市场调查报告书
商品编码
1410255

全球云端分析市场：预测（2023-2028）

Global Crowd Analytics Market - Forecasts from 2023 to 2028
出版日期: | 出版商: Knowledge Sourcing Intelligence | 英文 143 Pages | 商品交期: 最快1-2个工作天内

价格
简介目录

预计2021年全球云端分析市场规模将达5.8625亿美元，2028年将达18.74051亿美元，预测期内年复合成长率为18.06%。

云端分析是分析技术领域的一个新兴领域，主要关注云端指标，包括云端行为的解释、异常检测以及其他可改善设计领域和更好的云端管理的参数。人工智慧在零售商店监控和相关领域等多个领域的日益采用，是推动全球云端分析市场发展的主要潜在原因。

例如，根据卡内基国际和平基金会2019年9月发表的论文《人工智慧监控的全球扩张》显示，人工智慧监控技术在全球快速成长，176个国家中至少有74个国家使用智慧技术/在多个国家积极采用城市平台、智慧警务和脸部辨识系统等用例。

人工智慧在监控领域的日益普及预计将为云端分析技术创造丰富的机会，从而增加预测期内的市场潜力。此外，市场开拓和消费者聚集的增加预计也将推动市场的成长。

开拓人流和开发相关市场将推动市场成长

根据全球商业不动产服务供应商高力发表的《2023年6月全球快时尚扩张的客流量指标》显示，欧洲等主要地区的全球时尚位置企业正呈现成长趋势。例如，全球第三大服饰零售商优衣库2022年客流量成长了14.4%。此外，Primark、Inditex 和 H&M 等其他时尚零售商 2023 年第一季的人流量也平均成长了 0.3%。

因此，Primark 在 2022 年 9 月的新闻稿中宣布，将在未来五年内扩大其美国门市，同期新增 60 家门市。

此外，自新冠肺炎疫情高峰以来，定位市场的资料客流量增加，一些零售连锁店的客流量高于年度水准。例如，Target 2019 年的商店人流量发生了重大正面变化，预计这将在短期和中期扩大云端分析市场的基础。

此外，领先的云端分析公司的策略市场倡议预计也将提高市场成长率。例如，根据数位分析公司 Raydiant 2022 年 1 月的博客，该公司宣布收购 Sightcorp，这是一家由人工智慧功能驱动的云端监控和分析公司。

预计北美将占据最大市场占有率

云端分析解决方案的使用是由日益增长的安全问题所推动的，重点是改善各种情况下的公共，预计这将推动该地区的市场。这些技术的使用是全部区域智慧城市计划的首要任务，以最大限度地提高城市管理并提高各城市的效率。

在美国，公共和安保问题正在推动云端分析业务的发展，应用程式用于追踪各种环境中的云端行为。云端分析已整合到智慧城市计画中，以实现有效的公共服务、交通管理和城市规划。此外，零售商正在使用云端分析来改善消费者体验，活动产业也正在使用云端分析来举办大型聚会。对资料主导决策和持续技术改进的需求正在推动云端分析解决方案在各行业的广泛采用。

此外，智慧城市计划结合了物联网和资料分析等最尖端科技，以实现更好的公共、更有效率的城市管理以及城市环境中更好的活动规划，正在推动云端分析市场的扩张。在智慧城市挑战赛成功的基础上，美国运输部宣布了一项数百万美元的承诺，为旨在减少交通、改善连接性和增加机会的尖端、社区主导的交通计划提供资金。提供了补贴。根据美国发布的报告，最常见的 SC&C 活动是交通管理、资料管理、大众交通工具以及自动化或连接。

人群分析使用最尖端科技即时追踪和调查人群行为，显着提高安全性。这些技术可以透过发现异常行为和潜在威胁来帮助及早检测安全问题。透过提供即时监控功能并根据紧急情况下预测的云端运动优化疏散计划，支援紧急应变应变工作。此外，透过利用对云端动态的洞察，云端流量管理得到增强，以减少集邮和拥塞。脸部辨识和行为生物识别等监控和识别技术透过识别感兴趣的人和潜在威胁来改善安全措施。

市场主要发展

  • 2023 年 1 月 Ouster Gemini 是一个用于云端分析、安全和智慧型交通系统的云端支援数位雷射雷达感知平台，是汽车、工业、机器人和智慧基础设施行业高解析度数位雷射雷达感测器的领先供应商。奥斯特公司Ouster Gemini 让消费者可以使用来自一个或多个融合 Ouster 雷射雷达感测器的 3D资料即时识别、分类和追踪移动物体。

目录

第一章简介

  • 市场概况
  • 市场定义
  • 调查范围
  • 市场区隔
  • 货币
  • 先决条件
  • 基准年和预测年时间表

第二章调查方法

  • 研究设计
  • 调查资料
  • 检验

第三章执行摘要

  • 主要发现

第四章市场动态

  • 市场驱动因素
  • 市场抑制因素
  • 波特五力分析
  • 产业价值链分析

第五章云端分析的全球市场：依部署分类

  • 介绍
  • 本地
  • 云

第六章全球云端分析市场：依组织规模

  • 介绍
  • 中小企业
  • 大公司

第七章全球云分析市场：依产业分类

  • 介绍
  • 旅游/旅游
  • 媒体娱乐
  • 零售
  • 款待
  • 其他的

第八章全球云端分析市场：按地区

  • 介绍
  • 北美洲
  • 南美洲
  • 欧洲
  • 中东/非洲
  • 亚太地区

第九章竞争环境及分析

  • 主要企业及策略分析
  • 市场占有率分析
  • 合併、收购、协议和合作

第十章 公司简介

  • AGT（Advanced German Technology）
  • CrowdANALYTIX
  • Sightcorp（Radiant）
  • Nokia
  • NEC Corporation
  • Wavestore
  • Walkbase（STRATACACHE）
  • Crowd Vision Limited
简介目录
Product Code: KSI061610786

The global crowd analytics market is anticipated to achieve a compound annual growth rate of 18.06% throughout the forecast period, reaching a value of US$1,874.051 million by 2028, up from US$586.250 million in 2021.

Crowd analytics is an emerging niche of analytics technology domain that focuses primarily on crowd metrics including interpretation of crowd movements, detecting abnormalities, and other parameters that enable the betterment of designing areas and better crowd management. The increasing adoption of artificial intelligence in multiple spaces including retail surveillance and related domains is primarily the potential reason, for pushing the market for crowd analytics on a global scale.

For instance, as per the September 2019 published The Global Expansion of AI Surveillance paper of the Carnegie Endowment for International Peace, the AI surveillance technology has been growing rapidly globally with at least 74 out of the 176 countries actively adopting the same for multiple use cases including smart/city platforms, smart policing, and facial recognition systems.

The increasing use of AI in surveillance is anticipated to create abundant opportunities for crowd analytics technology, thereby increasing the market potential in the forecasted period. Moreover, market developments and increasing consumer gatherings are also expected to drive the growth of the same.

Increasing foot traffic and associated market developments to fuel the market growth

As per the June 2023 Foot Traffic Indicators Towards Global Fast-Fashion Expansion publication by the global commercial real estate services provider Colliers, global retail fashion companies across Europe and other major regions have been witnessing an increasing trend in foot traffic at their store locations. For example, Uniqlo, the world's 3rd largest apparel retailer, saw a 14.4% increase in foot traffic in 2022. Additionally, other fashion retailers like Primark, Inditex, and H&M witnessed an average 0.3% increase in foot traffic for the first quarter of 2023.

Consequently, Primark, in its September 2022 news release, announced expansions across the US locations for the next 5 years, targeting the addition of 60 stores during the same period.

Furthermore, as per the Retail Trends- 2022 Forecast by Placer.ai, a location intelligence and foot traffic data software company, offline market visits have been increasing post the peak COVID period and have also surpassed 2019 levels for some retail chains. For example, Target witnessed significant positive changes in customer visits in 2019, which is expected to raise the scope of the crowd analytics market in both the short and medium term of the timeline.

In addition, strategic market steps by major crowd analytics players are also expected to boost the market growth rate. For instance, as per the January 2022 blog by digital analytics company Raydiant, the company announced the acquisition of a crowd monitoring and analytics company, Sightcorp, whose operations are powered by the capabilities of artificial intelligence.

North America is predicted to hold the largest market share for the market

The use of crowd analytics solutions is being driven by growing security concerns, with an emphasis on improving public safety in a variety of contexts which is anticipated to drive the regional market. The use of these technologies is given top priority by smart city projects throughout the region to maximize urban management and raise overall municipal efficiency.

Concerns about public safety and security are driving the crowd analytics business in the United States, with applications for tracking crowd behavior in many contexts. Crowd analytics is integrated into smart city programs for effective public services, traffic control, and urban planning. In addition, crowd analytics is used by retailers to improve consumer experiences, and it is also used by the events industry to organize large-scale gatherings. The need for data-driven decision-making and ongoing technology improvements drive the broad adoption of crowd analytics solutions across industries.

Furthermore, by combining cutting-edge technology, such as IoT and data analytics, for better public safety, more efficient urban management, and better event planning in urban settings, smart city projects stimulate the expansion of the crowd analytics market. The U.S. DOT has granted millions of dollars in grants to fund community-driven, cutting-edge transportation initiatives to reduce traffic, boost connectivity, and enhance opportunity access, building on the success of the Smart City Challenge. As per the report published by U.S. Dot the most common SC&C activities were traffic management, data management, public transportation, and automation or connectivity.

Crowd analytics uses cutting-edge technologies to track and examine crowd behavior in real-time, greatly improving safety and security. These technologies help in the early detection of security concerns by spotting unusual activity and possible threats. By offering real-time monitoring capabilities and optimizing evacuation plans based on anticipated crowd movements during emergencies, they support emergency response activities. Additionally, by using insights into crowd dynamics, crowd flow management is enhanced, reducing stampedes and congestion. Through the identification of persons of interest or possible threats, surveillance and identification technologies like facial recognition and behavioral biometrics improve security measures.

Market Key Developments

  • In January 2023, Ouster Gemini, a cloud-backed digital lidar perception platform for crowd analytics, security, and intelligent transportation systems, was launched by Ouster, Inc., a leading supplier of high-resolution digital lidar sensors for the automotive, industrial, robotics, and smart infrastructure industries. With Ouster Gemini, consumers may use the 3D data from one or more fused Ouster lidar sensors to recognize, classify, and track moving objects in real-time.

Segmentation:

By Deployment

  • On-premise
  • Cloud

By Organization Size

  • Small and Medium
  • Large

By Industrial Vertical

  • Travel and Tourism
  • Media and Entertainment
  • Retail
  • Hospitality
  • Others

By Geography

  • North America
  • United States
  • Canada
  • Mexico
  • South America
  • Brazil
  • Argentina
  • Others
  • Europe
  • United Kingdom
  • Germany
  • France
  • Spain
  • Others
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • Israel
  • Others
  • Asia Pacific
  • Japan
  • China
  • India
  • South Korea
  • Indonesia
  • Thailand
  • Others

TABLE OF CONTENTS

1. INTRODUCTION

  • 1.1. Market Overview
  • 1.2. Market Definition
  • 1.3. Scope of the Study
  • 1.4. Market Segmentation
  • 1.5. Currency
  • 1.6. Assumptions
  • 1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY

  • 2.1. Research Design
  • 2.2. Research Data
  • 2.3. Validation

3. EXECUTIVE SUMMARY

  • 3.1. Key Findings

4. MARKET DYNAMICS

  • 4.1. Market Drivers
  • 4.2. Market Restraints
  • 4.3. Porter's Five Forces Analysis
    • 4.3.1. Bargaining Power of Suppliers
    • 4.3.2. Bargaining Power of Buyers
    • 4.3.3. Threat of New Entrants
    • 4.3.4. Threat of Substitutes
    • 4.3.5. Competitive Rivalry in the Industry
  • 4.4. Industry Value Chain Analysis

5. GLOBAL CROWD ANALYTICS MARKET BY DEPLOYMENT

  • 5.1. Introduction
  • 5.2. On-premise
  • 5.3. Cloud

6. GLOBAL CROWD ANALYTICS MARKET BY ORGANIZATION SIZE

  • 6.1. Introduction
  • 6.2. Small and Medium
  • 6.3. Large

7. GLOBAL CROWD ANALYTICS MARKET BY INDUSTRY VERTICAL

  • 7.1. Introduction
  • 7.2. Travel and Tourism
  • 7.3. Media and Entertainment
  • 7.4. Retail
  • 7.5. Hospitality
  • 7.6. Others

8. GLOBAL CROWD ANALYTICS MARKET BY GEOGRAPHY

  • 8.1. Introduction
  • 8.2. North America
    • 8.2.1. By Deployment
    • 8.2.2. By Organization Size
    • 8.2.3. By Industry Vertical
    • 8.2.4. By Country
    • 8.2.4.1. USA
    • 8.2.4.2. Canada
    • 8.2.4.3. Mexico
  • 8.3. South America
    • 8.3.1. By Deployment
    • 8.3.2. By Organization Size
    • 8.3.3. By Industry Vertical
    • 8.3.4. By Country
    • 8.3.4.1. Brazil
    • 8.3.4.2. Argentina
    • 8.3.4.3. Others
  • 8.4. Europe
    • 8.4.1. By Deployment
    • 8.4.2. By Organization Size
    • 8.4.3. By Industry Vertical
    • 8.4.4. By Country
    • 8.4.4.1. Germany
    • 8.4.4.2. France
    • 8.4.4.3. United Kingdom
    • 8.4.4.4. Spain
    • 8.4.4.5. Italy
    • 8.4.4.6. Others
  • 8.5. Middle East and Africa
    • 8.5.1. By Deployment
    • 8.5.2. By Organization Size
    • 8.5.3. By Industry Vertical
    • 8.5.4. By Country
    • 8.5.4.1. Saudi Arabia
    • 8.5.4.2. UAE
    • 8.5.4.3. Israel
    • 8.5.4.4. Others
  • 8.6. Asia Pacific
    • 8.6.1. By Deployment
    • 8.6.2. By Organization Size
    • 8.6.3. By Industry Vertical
    • 8.6.4. By Country
    • 8.6.4.1. China
    • 8.6.4.2. Japan
    • 8.6.4.3. India
    • 8.6.4.4. South Korea
    • 8.6.4.5. Indonesia
    • 8.6.4.6. Taiwan
    • 8.6.4.7. Thailand
    • 8.6.4.8. Others

9. COMPETITIVE ENVIRONMENT AND ANALYSIS

  • 9.1. Major Players and Strategy Analysis
  • 9.2. Market Share Analysis
  • 9.3. Mergers, Acquisition, Agreements, and Collaborations

10. COMPANY PROFILES

  • 10.1. AGT (Advanced German Technology)
  • 10.2. CrowdANALYTIX
  • 10.3. Sightcorp (Radiant)
  • 10.4. Nokia
  • 10.5. NEC Corporation
  • 10.6. Wavestore
  • 10.7. Walkbase (STRATACACHE)
  • 10.8. Crowd Vision Limited