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全球雲端分析市場：預測（2023-2028）
市場調查報告書
商品編碼
1410255

全球雲端分析市場：預測（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個工作天內

價格
簡介目錄

預計2021年全球雲端分析市場規模將達5.8625億美元，2028年將達18.74051億美元，預測期內年複合成長率為18.06%。

雲端分析是分析技術領域的一個新興領域，主要關注雲端指標，包括雲端行為的解釋、異常檢測以及其他可改善設計領域和更好的雲端管理的參數。人工智慧在零售商店監控和相關領域等多個領域的日益採用，是推動全球雲端分析市場發展的主要潛在原因。

例如，根據卡內基國際和平基金會2019年9月發表的論文《人工智慧監控的全球擴張》顯示，人工智慧監控技術在全球快速成長，176個國家中至少有74個國家使用智慧技術/在多個國家積極採用城市平台、智慧警務和臉部辨識系統等用例。

人工智慧在監控領域的日益普及預計將為雲端分析技術創造豐富的機會，從而增加預測期內的市場潛力。此外，市場開拓和消費者聚集的增加預計也將推動市場的成長。

開拓人流和開發相關市場將推動市場成長

根據全球商業不動產服務供應商高力發表的《2023年6月全球快時尚擴張的客流量指標》顯示，歐洲等主要地區的全球時尚位置企業正呈現成長趨勢。例如，全球第三大服飾零售商優衣庫2022年客流量成長了14.4%。此外，Primark、Inditex 和 H&M 等其他時尚零售商 2023 年第一季的人流量也平均成長了 0.3%。

因此，Primark 在 2022 年 9 月的新聞稿中宣布，將在未來五年內擴大其美國門市，同期新增 60 家門市。

此外，自新冠肺炎疫情高峰以來，定位市場的資料客流量增加，一些零售連鎖店的客流量高於年度水準。例如，Target 2019 年的商店人流量發生了重大正面變化，預計這將在短期和中期擴大雲端分析市場的基礎。

此外，領先的雲端分析公司的策略市場舉措預計也將提高市場成長率。例如，根據數位分析公司 Raydiant 2022 年 1 月的BLOG，該公司宣布收購 Sightcorp，這是一家由人工智慧功能驅動的雲端監控和分析公司。

預計北美將佔據最大市場佔有率

雲端分析解決方案的使用是由日益成長的安全問題所推動的，重點是改善各種情況下的公共，預計這將推動該地區的市場。這些技術的使用是全部區域智慧城市計劃的首要任務，以最大限度地提高城市管理並提高各城市的效率。

在美國，公共和安保問題正在推動雲端分析業務的發展，應用程式用於追蹤各種環境中的雲端行為。雲端分析已整合到智慧城市計畫中，以實現有效的公共服務、交通管理和城市規劃。此外，零售商正在使用雲端分析來改善消費者體驗，活動產業也正在使用雲端分析來舉辦大型聚會。對資料主導決策和持續技術改進的需求正在推動雲端分析解決方案在各行業的廣泛採用。

此外，智慧城市計劃結合了物聯網和資料分析等最尖端科技，以實現更好的公共、更有效率的城市管理以及城市環境中更好的活動規劃，正在推動雲端分析市場的擴張。在智慧城市挑戰賽成功的基礎上，美國運輸部宣布了一項數百萬美元的承諾，為旨在減少交通、改善連接性和增加機會的尖端、社區主導的交通計劃提供資金。提供了補貼。根據美國發布的報告，最常見的 SC&C 活動是交通管理、資料管理、大眾交通工具以及自動化或連接。

人群分析使用最尖端科技即時追蹤和調查人群行為，顯著提高安全性。這些技術可以透過發現異常行為和潛在威脅來幫助及早檢測安全問題。透過提供即時監控功能並根據緊急情況下預測的雲端運動最佳化疏散計劃，支援緊急應變應變工作。此外，透過利用對雲端動態的洞察，雲端流量管理得到增強，以減少集郵和擁塞。臉部辨識和行為生物識別等監控和識別技術透過識別感興趣的人和潛在威脅來改善安全措施。

市場主要發展

  • 2023 年 1 月 Ouster Gemini 是一個用於雲端分析、安全和智慧型交通系統的雲端支援數位雷射雷達感知平台，是汽車、工業、機器人和智慧基礎設施行業高解析度數位雷射雷達感測器的領先供應商。奧斯特公司Ouster Gemini 讓消費者可以使用來自一個或多個融合 Ouster 雷射雷達感測器的 3D資料即時識別、分類和追蹤移動物體。

目錄

第1章簡介

  • 市場概況
  • 市場定義
  • 調查範圍
  • 市場區隔
  • 貨幣
  • 先決條件
  • 基準年和預測年時間表

第2章調查方法

  • 研究設計
  • 調查資料
  • 檢驗

第3章執行摘要

  • 主要發現

第4章市場動態

  • 市場促進因素
  • 市場抑制因素
  • 波特五力分析
  • 產業價值鏈分析

第5章雲端分析的全球市場：依部署分類

  • 介紹
  • 本地
  • 雲

第6章全球雲端分析市場：依組織規模

  • 介紹
  • 中小企業
  • 主要企業

第7章全球雲分析市場：依產業分類

  • 介紹
  • 旅遊/旅遊
  • 媒體娛樂
  • 零售
  • 款待
  • 其他

第8章全球雲端分析市場：按地區

  • 介紹
  • 北美洲
  • 南美洲
  • 歐洲
  • 中東/非洲
  • 亞太地區

第9章競爭環境及分析

  • 主要企業及策略分析
  • 市場佔有率分析
  • 合併、收購、協議和合作

第10章 公司簡介

  • AGT（Advanced German Technology）
  • CrowdANALYTIX
  • Sightcorp（Radiant）
  • Nokia
  • NEC Corporation
  • Wavestore
  • Walkbase（STRATACACHE）
  • Crowd Vision Limited
簡介目錄
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