首页 > 市场调查报告书 > 通讯

LBS

市场调查报告书

商品编码

1325347

全球位置分析工具市场 - 2023-2030

Global Location Analytics Tools Market - 2023-2030

出版日期: 2023年08月04日 | 出版商:

DataM Intelligence | 英文 210 Pages | 商品交期: 约2个工作天内

价格

※ 本网页内容可能与最新版本有所差异。详细情况请与我们联繫。

简介目录

市场概况

全球位置分析工具市场在 2022 年达到 185 亿美元，预计到 2030 年将达到 491 亿美元，2023-2030 年预测期间复合年增长率为 13.0%。

位置分析工具在各个行业中都有应用，并且正在进行的实时洞察研究预计将在未来提升市场的增长前景。例如，零售组织可以分析客流量和客户人口统计数据，以优化商店位置和营销策略。

运输和物流公司可以利用位置分析来优化路线、减少燃料消耗并提高交付效率。上述两个行业增长迅猛，预计在预测期内将贡献超过 1/3 的市场份额。此外，技术的进步、互联设备的激增以及空间数据源可用性的不断提高将进一步推动位置分析工具在各行业的采用。

市场动态

对实时洞察的需求不断增长

零售、物流、交通和城市规划等行业对实时洞察的需求不断增长，推动了位置分析工具的采用。实时洞察使组织能够做出更快、更明智的决策。借助位置分析工具，企业可以监控和分析实时数据，以立即了解客户行为、运营绩效和市场趋势。这使得决策者能够快速响应不断变化的情况并及时调整策略。

此外，实时洞察为组织提供了竞争优势。通过能够快速响应市场动态、不断变化的客户需求或新出现的机会，企业可以在竞争中保持领先地位。位置分析工具使组织能够实时了解其运营、市场状况和客户行为，从而使他们能够做出积极主动的决策，从而推动成功。

技术进步

人工智能和机器学习是最新的技术进步，推动了全球位置分析市场的发展。人工智能和机器学习正在彻底改变组织利用基于位置的数据的方式。这些技术可实现更准确的分析、预测性见解、实时监控和个性化体验。随着人工智能和机器学习技术的不断进步，全球位置分析工具市场预计将见证进一步的增长和创新。

此外，人工智能和机器学习算法可以实时分析基于位置的数据，为组织提供最新的见解。实时位置分析使企业能够及时监控动态情况并做出响应。例如，在运输和物流领域，机器学习算法可以根据交通状况实时优化路线规划，从而提高运营效率和客户满意度。

高成本和预算限制

与位置分析工具相关的高成本可能使许多组织难以承受，特别是中小型企业 (SME) 或预算有限的企业。软件许可证、硬件基础设施、数据集成和技术人员的前期成本可能是进入的重大障碍，阻止组织采用位置分析工具。

此外，除了初始投资之外，位置分析工具通常还需要持续维护、支持和定期软件升级。这些成本可能很高，并且可能会导致组织的预算紧张，特别是如果组织缺乏专用 IT 资源或分配给技术相关费用的资金有限。

COVID-19 影响分析

疫情促使消费者行为发生转变，网上购物、送货上门服务和远程互动显着增加。这种转变需要重新评估客户洞察和需求模式。虽然位置分析工具可以为不断变化的客户行为和偏好提供有价值的见解，但企业最初的重点是适应新常态，而不是投资于位置分析功能。

此外，疫情期间商业环境的不确定性和波动导致决策过程的推迟。由于不可预测的市场状况，许多组织推迟了投资决策，包括采用位置分析工具。重点转向短期生存和危机管理，而不是长期战略倡议。

Market Overview

Global Location Analytics Tools market reached US$ 18.5 billion in 2022 and is expected to reach US$ 49.1 billion by 2030 growing with a CAGR of 13.0% during the forecast period 2023-2030.

Location analytics tools find applications across various industries and ongoing research on real-time insights is expected to future escalate the growth prospects of the market. For instance, retail organizations can analyze foot traffic and customer demographics to optimize store locations and marketing strategies.

Transportation and logistics companies can utilize location analytics to optimize routes, reduce fuel consumption, and improve delivery efficiency. The above two sectors are growing tremendously and are expected to contribute more than 1/3rd of the market in the forecast period. Furthermore, advancements in technology, the proliferation of connected devices, and the increasing availability of spatial data sources will further fuel the adoption of location analytics tools across industries.

Market Dynamics

Rising Demand for Real-Time Insights

The rising demand for real-time insights across industries, such as retail, logistics, transportation, and urban planning, has fueled the adoption of location analytics tools. Real-time insights enable organizations to make faster and more informed decisions. With location analytics tools, businesses can monitor and analyze real-time data to gain immediate insights into customer behavior, operational performance, and market trends. This empowers decision-makers to respond quickly to changing circumstances and make timely adjustments to their strategies.

Furthermore, real-time insights provide organizations with a competitive edge. By being able to respond swiftly to market dynamics, changing customer needs, or emerging opportunities, businesses can stay ahead of the competition. Location analytics tools enable organizations to gain real-time visibility into their operations, market conditions, and customer behavior, empowering them to make proactive decisions that drive success.

Technological Advancements

AI and machine learning are the recent technological advancements that have escalated the global location analytics market. AI and ML are revolutionizing the way organizations leverage location-based data. These technologies enable more accurate analysis, predictive insights, real-time monitoring, and personalized experiences. With the continuous advancements in AI and ML techniques, the global location analytics tools market is expected to witness further growth and innovation.

Furthermore, AI and ML algorithms enable real-time analysis of location-based data, providing organizations with up-to-date insights. Real-time location analytics allows businesses to monitor and respond to dynamic situations promptly. For example, in transportation and logistics, ML algorithms can optimize route planning in real time based on traffic conditions, leading to improved operational efficiency and customer satisfaction.

High Cost And Budget Constraints

The high costs associated with location analytics tools can make them less affordable for many organizations, particularly small and medium-sized enterprises (SMEs) or those with limited budgets. The upfront costs of software licenses, hardware infrastructure, data integration, and skilled personnel can be a significant barrier to entry, preventing organizations from adopting location analytics tools.

Furthermore, in addition to the initial investment, location analytics tools often require ongoing maintenance, support, and regular software upgrades. These costs can be significant and may strain the budgets of organizations, especially if they lack dedicated IT resources or have limited funds allocated for technology-related expenses.

COVID-19 Impact Analysis

The pandemic prompted a shift in consumer behavior, with a significant increase in online shopping, home delivery services, and remote interactions. This shift necessitated a reevaluation of customer insights and demand patterns. While location analytics tools can provide valuable insights into changing customer behaviors and preferences, the initial focus for businesses was on adapting to the new normal rather than investing in location analytics capabilities.

Furthermore, the uncertain and volatile business environment during the pandemic led to a postponement of decision-making processes. Many organizations delayed investment decisions, including the adoption of location analytics tools, due to unpredictable market conditions. The focus shifted towards short-term survival and crisis management rather than long-term strategic initiatives.

Segment Analysis

The global location analytics tools market is segmented based on component, location, deployment, application end-user and region.

Location Analytics Extensive Applications In Outdoor Environments, Such As Transportation And Logistics, Retail And Advertising

The outdoor location is expected to show significant growth in the global location analytics tools market. Location analytics plays a crucial role in optimizing transportation routes, tracking vehicles and assets, and improving logistics operations. From fleet management to supply chain optimization, outdoor location analytics tools are essential for enhancing efficiency, reducing costs, and ensuring timely deliveries.

Furthermore, outdoor location analytics tools are widely used in retail and advertising industries to understand consumer behavior, optimize store locations, and deliver targeted advertising campaigns. These tools provide valuable insights into footfall analysis, customer demographics, and market trends in outdoor spaces such as shopping centers, high streets, and public areas.

Geographical Analysis

North America's Rising Adoption Of Advanced Technologies, Mature Business Environment And Increasing Demand For Location-Based Insights Across Various Industries

North America has shown the fastest growth in the global location analytics tools market, U.S. being the highest shareholder covering nearly 88.9% of the region. The regional growth is driven by the high adoption of advanced technologies, mature business environment and increasing demand for location-based insights across various industries. North America is known for its technological advancements and innovation.

The region is home to several leading technology companies such as Esri, Google, Microsoft, IBM, and Oracle have a strong presence in the region and research institutions that are actively developing and implementing location analytics tools. This fosters a conducive environment for the growth and adoption of advanced location analytics solutions.

Competitive Landscape

The major global players include Pitney Bowes, Hexagon, Syncsort, Oracle Corporation, Google Llc, Esri, Sisense Inc, Microsoft Corporation, Alteryx and Here Technologies.

Why Purchase the Report?

To visualize the global location analytics tools market segmentation based on component, location, deployment, application end-user and region, as well as understand key commercial assets and players.
Identify commercial opportunities by analyzing trends and co-development.
Excel data sheet with numerous data points of Location Analytics Tools market-level with all segments.
PDF report consists of a comprehensive analysis after exhaustive qualitative interviews and an in-depth study.
Product mapping available as excel consisting of key products of all the major players.

The global location analytics tools market report would provide approximately 77 tables, 83 figures and 210 Pages.

Target Audience 2023

Manufacturers/ Buyers
Industry Investors/Investment Bankers
Research Professionals
Emerging Companies

1. Methodology and Scope

1.1. Research Methodology
1.2. Research Objective and Scope of the Report

2. Definition and Overview

3. Executive Summary

3.1. Snippet by Component
3.2. Snippet by Location
3.3. Snippet by Deployment
3.4. Snippet by Application
3.5. Snippet by End-User
3.6. Snippet by Region

4. Dynamics

4.1. Impacting Factors
- 4.1.1. Drivers
  - 4.1.1.1. Rising Demand for Real-Time Insights
  - 4.1.1.2. Technological Advancements
- 4.1.2. Restraints
  - 4.1.2.1. High Costs And Budget Constraints
- 4.1.3. Opportunity
- 4.1.4. Impact Analysis

5. Industry Analysis

5.1. Porter's Five Force Analysis
5.2. Supply Chain Analysis
5.3. Pricing Analysis
5.4. Regulatory Analysis

6. COVID-19 Analysis

6.1. Analysis of COVID-19
- 6.1.1. Scenario Before COVID
- 6.1.2. Scenario During COVID
- 6.1.3. Scenario Post COVID
6.2. Pricing Dynamics Amid COVID-19
6.3. Demand-Supply Spectrum
6.4. Government Initiatives Related to the Market During Pandemic
6.5. Manufacturers Strategic Initiatives
6.6. Conclusion

7. By Component

7.1. Introduction
- 7.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 7.1.2. Market Attractiveness Index, By Component
7.2. Software *
- 7.2.1. Introduction
- 7.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
7.3. Service

8. By Location

8.1. Introduction
- 8.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Location
- 8.1.2. Market Attractiveness Index, By Location
8.2. Indoor*
- 8.2.1. Introduction
- 8.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
8.3. Outdoor

9. By Deployment

9.1. Introduction
- 9.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 9.1.2. Market Attractiveness Index, By Deployment
9.2. Cloud*
- 9.2.1. Introduction
- 9.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
9.3. On-premise

10. By Application

10.1. Introduction
- 10.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 10.1.2. Market Attractiveness Index, By Application
10.2. Remote Monitoring *
- 10.2.1. Introduction
- 10.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
10.3. Sales & Marketing Optimization
10.4. Asset Management
10.5. Risk Management
10.6. Facility Management
10.7. Others

11. By End-User

11.1. Introduction
- 11.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 11.1.2. Market Attractiveness Index, By End-User
11.2. BFSI*
- 11.2.1. Introduction
- 11.2.2. Market Size Analysis and Y-o-Y Growth Analysis (%)
11.3. Retail & Consumer Goods
11.4. Healthcare
11.5. Hospitality
11.6. Transport & Logistic
11.7. Government
11.8. IT & Telecom
11.9. Media and entertainment
11.10. Others

12. By Region

12.1. Introduction
- 12.1.1. Market Size Analysis and Y-o-Y Growth Analysis (%), By Region
- 12.1.2. Market Attractiveness Index, By Region
12.2. North America
- 12.2.1. Introduction
- 12.2.2. Key Region-Specific Dynamics
- 12.2.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.2.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Location
- 12.2.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.2.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.2.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.2.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.2.8.1. U.S.
  - 12.2.8.2. Canada
  - 12.2.8.3. Mexico
12.3. Europe
- 12.3.1. Introduction
- 12.3.2. Key Region-Specific Dynamics
- 12.3.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.3.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Location
- 12.3.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.3.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.3.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.3.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.3.8.1. Germany
  - 12.3.8.2. UK
  - 12.3.8.3. France
  - 12.3.8.4. Italy
  - 12.3.8.5. Russia
  - 12.3.8.6. Rest of Europe
12.4. South America
- 12.4.1. Introduction
- 12.4.2. Key Region-Specific Dynamics
- 12.4.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.4.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Location
- 12.4.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.4.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.4.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.4.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.4.8.1. Brazil
  - 12.4.8.2. Argentina
  - 12.4.8.3. Rest of South America
12.5. Asia-Pacific
- 12.5.1. Introduction
- 12.5.2. Key Region-Specific Dynamics
- 12.5.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.5.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Location
- 12.5.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.5.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.5.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User
- 12.5.8. Market Size Analysis and Y-o-Y Growth Analysis (%), By Country
  - 12.5.8.1. China
  - 12.5.8.2. India
  - 12.5.8.3. Japan
  - 12.5.8.4. Australia
  - 12.5.8.5. Rest of Asia-Pacific
12.6. Middle East and Africa
- 12.6.1. Introduction
- 12.6.2. Key Region-Specific Dynamics
- 12.6.3. Market Size Analysis and Y-o-Y Growth Analysis (%), By Component
- 12.6.4. Market Size Analysis and Y-o-Y Growth Analysis (%), By Location
- 12.6.5. Market Size Analysis and Y-o-Y Growth Analysis (%), By Deployment
- 12.6.6. Market Size Analysis and Y-o-Y Growth Analysis (%), By Application
- 12.6.7. Market Size Analysis and Y-o-Y Growth Analysis (%), By End-User

13. Competitive Landscape

13.1. Competitive Scenario
13.2. Market Positioning/Share Analysis
13.3. Mergers and Acquisitions Analysis

14. Company Profiles

14.1. Pitney Bowes*
- 14.1.1. Company Overview
- 14.1.2. Product Portfolio and Description
- 14.1.3. Financial Overview
14.2. Hexagon
14.3. Syncsort
14.4. Oracle Corporation
14.5. Google Llc
14.6. Esri
14.7. Sisense Inc
14.8. Microsoft Corporation
14.9. Alteryx
14.10. Here Technologies

LIST NOT EXHAUSTIVE