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市場調查報告書
商品編碼
2081274

NeighborIQ 分析市場預測至 2034 年：按分析類型、部署模式、技術、應用、最終用戶和地區分類的全球分析

NeighborIQ Analytics Market Forecasts to 2034 - Global Analysis By Analytics Type, Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球 NeighborIQ 分析市場預計將在 2026 年達到 11 億美元，並在預測期內以 14.2% 的複合年成長率成長，到 2034 年達到 32 億美元。

NeighborIQ Analytics 是一個專業的數據分析平台，它從本地人口統計、行為和空間數據中提取可操作的洞察，為地方發展、公共安全和城市規劃方面的決策提供支援。該系統整合了多種資料來源，包括人口普查記錄、行動位置資料、社群媒體情緒分析和市政服務記錄，從而產生全面的本地情報概況。 NeighborIQ 的技術包括模式識別的機器學習演算法、地理空間視覺化工具和用於預測社群趨勢的預測建模引擎。政府機構、房地產公司、城市規劃師和尋求循證本地干預策略的地方發展組織都在使用此分析解決方案。

數據驅動型管治

實證決策的加速發展正顯著推動NeighborIQ分析市場解決方案需求的成長。各級政府機構都需要詳細的本地數據，以便有效分配資源並衡量干預措施的成效。開放資料舉措的蓬勃發展，使得人們能夠以前所未有的方式取得本地記錄，並豐富本地情報模型。地方發展組織正在利用分析技術識別高風險地區，並精準地將投資分配到社會服務領域。對透明且可衡量的管治成果的政治訴求，正在推動對地方層級分析能力的投資。

數據品質差異

資料品質的差異以及地方層級資料的分散性，對NeighborIQ分析市場的準確性和可靠性構成了重大挑戰。人口普查資料在十年一次的收集週期之間會逐漸過時，而其他資料來源則有抽樣偏差和覆蓋範圍不足的問題。各市政記錄系統的數位化進展和資料標準化程度也存在顯著差異。整合不同的資料格式和更新頻率會帶來巨大的資料工程負擔。這些品質問題限制了不同地理區域和時間段內區域分析結果的可比性。

房地產情報

社區分析在商業和住宅物業估值中的應用日益廣泛，正在為市場創造變革性的機會。房地產投資者和開發商擴大將社區趨勢數據納入其收購和開發決策中。房屋抵押貸款機構正在利用社區風險分析對其投資組合進行壓力測試，並完善其信貸標準。將預測性社區模型與物業管理平台結合，正在創造持續的商機。新興的房地產科技生態系統正在提供分銷管道，加速分析平台在整個房地產行業的普及應用。

演算法偏差帶來的風險

對本地分析中演算法偏見的審查日益嚴格，為NeighborIQ分析市場帶來了聲譽和監管方面的威脅。歷史資料模式往往包含內建的系統性歧視，而機器學習模型可能會延續並放大這種歧視。社區計劃者正在質疑那些對弱勢群體造成不成比例損害的分析主導決策。關於人工智慧公平性和課責的法律規範正在擴展到公共部門應用領域。潛在的訴訟風險和輿論反彈限制了在敏感政策領域積極採用預測性本地模型。

新型冠狀病毒（COVID-19）的影響：

新冠疫情大大加速了在地化分析技術的應用，因為各國政府需要詳細的數據來集中應對疫情。衛生部門利用社區情報來識別感染熱點地區並最佳化疫苗分發物流。這場危機凸顯了不同地區在寬頻接入和技術應用層面的差異所造成的數位落差。在後疫情時代，對韌性社區基礎設施和公平服務提供的日益重視，推動了對NeighborIQ分析市場能力的持續投資。

在預測期內，社區智慧分析領域預計將佔據最大的市場佔有率。

在地方政府和社區組織持續尋求全面了解當地人口結構、需求和服務利用模式的需求推動下，社區智慧分析領域預計將在預測期內佔據最大的市場佔有率。社群智慧平台整合各種資料來源，創造統一的區域概況，進而輔助資源分配與專案設計決策。社區智慧在公共衛生、教育、社會福利和經濟發展等廣泛領域的應用，正在創造多元化的收入來源。與現有行政客戶關係管理系統 (CRM) 和案例管理系統的整合，提高了平台的採用率。

在預測期內，基於雲端的細分市場預計將呈現最高的複合年成長率。

在預測期內，基於雲端的細分市場預計將呈現最高的成長率，這主要得益於區域分析工作負載的運算密集特性以及雲端基礎設施在處理大規模地理空間資料集方面的擴充性優勢。基於雲端的 NeighborIQ 平台能夠對來自物聯網感測器和行動應用程式的串流數據進行即時分析，而無需大量的本地硬體投資。雲端環境的彈性運算資源可以滿足週期性分析需求，例如年度社區評估和緊急應變場景。多租戶雲端配置既能降低每個機構的成本，又能確保資料隔離。

市佔率最大的地區：

在整個預測期內，北美地區預計將保持最大的市場佔有率，這得益於其先進的數據基礎設施、成熟的政府分析項目以及對區域發展技術的巨額投資。美國憑藉其廣泛的聯邦數據收集項目和地方開放數據計劃，在社區分析領域主導地位，這些項目和舉措為社區分析提供了豐富的見解。加拿大憑藉其國家統計基礎設施和社區福利框架，在數據應用方面擁有良好的記錄。主要的分析供應商都將總部和研究中心設在北美。慈善機構對區域數據舉措的資助是政府技術預算的補充。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的都市化催生了需要進行分析表徵的新區域、政府智慧城市項目產生的大量數據，以及企業對基於位置的洞察日益成長的需求。中國和印度正在運行國家城市觀測項目，以前所未有的規模收集區域層面的指標。東南亞國家正在投資建置社區資料基礎設施，以支援災害防備和氣候變遷調適規劃。該地區不斷壯大的中產階級正在推動房地產和消費市場對區域高品質分析的需求。

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目錄

第1章：執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球 NeighborIQ 分析市場：依分析類型分類

  • 社區情報分析
  • 行為分析
  • 人口統計分析
  • 位置智慧分析
  • 預測分析
  • 社交情緒分析
  • 社區風險分析

第6章：全球 NeighborIQ 分析市場：依部署模式分類

  • 基於雲端的
  • 現場
  • 混合
  • 私有雲端
  • 公共雲端
  • 多重雲端

第7章：全球 NeighborIQ 分析市場：依技術分類

  • 人工智慧
  • 機器學習
  • 巨量資料分析
  • 地理空間分析
  • 自然語言處理
  • 雲端分析

第8章：全球 NeighborIQ 分析市場：按應用分類

  • 社區評分
  • 公共安全分析
  • 都市計畫
  • 房地產情報
  • 市場研究
  • 公民參與分析
  • 資源分配計劃

第9章：全球 NeighborIQ 分析市場：依最終使用者分類

  • 政府機構
  • 房地產公司
  • 都市計畫負責人
  • 研究機構
  • 區域發展組織
  • 零售公司
  • 公共服務機構

第10章：全球 NeighborIQ 分析市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • SAS Institute Inc.
  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • Google LLC
  • Tableau Software, LLC
  • QlikTech International AB
  • Alteryx, Inc.
  • TIBCO Software Inc.
  • Palantir Technologies Inc.
  • Esri, Inc.
  • SAP SE
  • Accenture plc
  • Deloitte Touche Tohmatsu Limited
  • Capgemini SE
  • Snowflake Inc.
Product Code: SMRC37756

According to Stratistics MRC, the Global NeighborIQ Analytics Market is accounted for $1.1 billion in 2026 and is expected to reach $3.2 billion by 2034 growing at a CAGR of 14.2% during the forecast period. NeighborIQ analytics refer to specialized data analysis platforms that extract actionable insights from neighborhood-level demographic, behavioral, and spatial data to support community development, public safety, and urban planning decisions. These systems integrate multiple data sources, including census records, mobile location signals, social media sentiment, and municipal service records, to generate comprehensive neighborhood intelligence profiles. NeighborIQ technology encompasses machine learning algorithms for pattern recognition, geospatial visualization tools, and predictive modeling engines that forecast community trends. The analytics serve government agencies, real estate firms, urban planners, and community development organizations seeking evidence-based neighborhood intervention strategies.

Market Dynamics:

Driver:

Data-driven governance

The accelerating shift toward evidence-based policy making is driving substantial demand for NeighborIQ Analytics Market solutions. Government agencies at all levels require granular neighborhood data to allocate resources effectively and measure intervention outcomes. The proliferation of open data initiatives provides unprecedented access to municipal records that enrich neighborhood intelligence models. Community development organizations leverage analytics to identify at-risk neighborhoods and target social service investments. The political imperative for transparent, measurable governance outcomes sustains investment in neighborhood-level analytical capabilities.

Restraint:

Data quality fragmentation

The inconsistent quality and fragmented availability of neighborhood-level data presents significant challenges for NeighborIQ Analytics Market accuracy and reliability. Census data becomes outdated between decennial collection cycles, while alternative data sources introduce sampling biases and coverage gaps. Municipal record systems vary dramatically in digitization status and data standardization across jurisdictions. The integration of disparate data formats and update frequencies creates substantial data engineering overhead. These quality issues limit the comparability of neighborhood analytics across different geographic areas and time periods.

Opportunity:

Real estate intelligence

The expanding application of neighborhood analytics in commercial and residential real estate valuation presents transformative market opportunities. Property investors and developers increasingly incorporate neighborhood trend data into acquisition and development decisions. Mortgage lenders utilize neighborhood risk analytics for portfolio stress testing and underwriting criteria refinement. The integration of predictive neighborhood models with property management platforms creates recurring revenue opportunities. Emerging proptech ecosystems provide distribution channels that accelerate analytics platform adoption across the real estate industry.

Threat:

Algorithmic bias risks

Growing scrutiny of algorithmic bias in neighborhood-level analytics poses reputational and regulatory threats to the NeighborIQ Analytics Market. Historical data patterns often encode systemic discrimination that machine learning models perpetuate and amplify. Community advocates challenge analytics-driven decisions that disproportionately disadvantage marginalized neighborhoods. Regulatory frameworks for AI fairness and accountability are expanding to include public sector applications. The potential for litigation and public backlash constrains aggressive deployment of predictive neighborhood models in sensitive policy domains.

Covid-19 Impact:

The COVID-19 pandemic dramatically accelerated the adoption of neighborhood-level analytics as governments required granular data to target pandemic response measures. Health departments leveraged community intelligence to identify infection hotspots and optimize vaccine distribution logistics. The crisis highlighted digital divides between neighborhoods with varying broadband access and technology adoption. Post-pandemic, the emphasis on resilient community infrastructure and equitable service delivery supports continued investment in NeighborIQ Analytics Market capabilities.

The community intelligence analytics segment is expected to be the largest during the forecast period

The community intelligence analytics segment is expected to account for the largest market share during the forecast period, due to sustained demand from municipal governments and community organizations seeking a comprehensive understanding of neighborhood demographics, needs, and service utilization patterns. Community intelligence platforms aggregate disparate data sources into unified neighborhood profiles that inform resource allocation and program design decisions. The broad applicability of community intelligence across public health, education, social services, and economic development creates diverse revenue streams. Integration with existing government CRM and case management systems enhances platform stickiness.

The cloud-based segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud-based segment is predicted to witness the highest growth rate, driven by the computational intensity of neighborhood analytics workloads and the scalability advantages of cloud infrastructure for processing large geospatial datasets. Cloud-based NeighborIQ platforms enable real-time analytics on streaming data from IoT sensors and mobile applications without prohibitive on-premise hardware investments. The elastic compute resources of cloud environments accommodate periodic analytical demands such as annual community assessments and emergency response scenarios. Multi-tenant cloud configurations reduce per-agency costs while ensuring data segregation.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to advanced data infrastructure, mature government analytics programs, and significant investment in community development technology. The United States leads with extensive federal data collection programs and municipal open data initiatives that provide rich inputs for neighborhood analytics. Canada demonstrates strong adoption through national statistical infrastructure and community wellbeing frameworks. Major analytics vendors maintain North American headquarters and research operations. Philanthropic funding for community data initiatives supplements government technology budgets.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to rapid urbanization creating new neighborhoods requiring analytical characterization, government smart city programs generating massive data volumes, and increasing enterprise demand for location-based insights. China and India operate national urban observatory programs that collect neighborhood-level indicators at unprecedented scale. Southeast Asian nations invest in community data infrastructure to support disaster preparedness and climate adaptation planning. The region's expanding middle class drives demand for neighborhood quality analytics in real estate and consumer markets.

Key players in the market

Some of the key players in NeighborIQ Analytics Market include SAS Institute Inc., IBM Corporation, Oracle Corporation, Microsoft Corporation, Google LLC, Tableau Software, LLC, QlikTech International AB, Alteryx, Inc., TIBCO Software Inc., Palantir Technologies Inc., Esri, Inc., SAP SE, Accenture plc, Deloitte Touche Tohmatsu Limited, Capgemini SE and Snowflake Inc..

Key Developments:

In June 2026, SAS Institute Inc. launched an enhanced neighborhood risk scoring module integrating real-time social media sentiment with traditional demographic indicators for community assessment.

In May 2026, IBM Corporation expanded its community analytics platform to include AI-powered predictive models for neighborhood-level public health intervention outcomes.

In April 2026, Oracle Corporation introduced a cloud-native neighborhood intelligence data warehouse enabling cross-jurisdictional community data sharing with automated privacy controls.

In March 2026, Microsoft Corporation deployed an integrated geospatial analytics suite combining Azure Maps with Power BI for neighborhood-level visualization and reporting.

In February 2026, Google LLC launched a community mobility insights API providing aggregated neighborhood movement patterns for urban planning and retail site selection.

Analytics Types Covered:

  • Community Intelligence Analytics
  • Behavioral Analytics
  • Demographic Analytics
  • Location Intelligence Analytics
  • Predictive Analytics
  • Social Sentiment Analytics
  • Neighborhood Risk Analytics

Deployment Modes Covered:

  • Cloud-Based
  • On-Premise
  • Hybrid
  • Private Cloud
  • Public Cloud
  • Multi-Cloud

Technologies Covered:

  • Artificial Intelligence
  • Machine Learning
  • Big Data Analytics
  • Geospatial Analytics
  • Natural Language Processing
  • Cloud Analytics

Applications Covered:

  • Community Assessment
  • Public Safety Analysis
  • Urban Planning
  • Real Estate Intelligence
  • Market Research
  • Citizen Engagement Analysis
  • Resource Allocation Planning

End Users Covered:

  • Government Agencies
  • Real Estate Firms
  • Urban Planners
  • Research Organizations
  • Community Development Agencies
  • Retail Businesses
  • Public Service Authorities

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global NeighborIQ Analytics Market, By Analytics Type

  • 5.1 Community Intelligence Analytics
  • 5.2 Behavioral Analytics
  • 5.3 Demographic Analytics
  • 5.4 Location Intelligence Analytics
  • 5.5 Predictive Analytics
  • 5.6 Social Sentiment Analytics
  • 5.7 Neighborhood Risk Analytics

6 Global NeighborIQ Analytics Market, By Deployment Mode

  • 6.1 Cloud-Based
  • 6.2 On-Premise
  • 6.3 Hybrid
  • 6.4 Private Cloud
  • 6.5 Public Cloud
  • 6.6 Multi-Cloud

7 Global NeighborIQ Analytics Market, By Technology

  • 7.1 Artificial Intelligence
  • 7.2 Machine Learning
  • 7.3 Big Data Analytics
  • 7.4 Geospatial Analytics
  • 7.5 Natural Language Processing
  • 7.6 Cloud Analytics

8 Global NeighborIQ Analytics Market, By Application

  • 8.1 Community Assessment
  • 8.2 Public Safety Analysis
  • 8.3 Urban Planning
  • 8.4 Real Estate Intelligence
  • 8.5 Market Research
  • 8.6 Citizen Engagement Analysis
  • 8.7 Resource Allocation Planning

9 Global NeighborIQ Analytics Market, By End User

  • 9.1 Government Agencies
  • 9.2 Real Estate Firms
  • 9.3 Urban Planners
  • 9.4 Research Organizations
  • 9.5 Community Development Agencies
  • 9.6 Retail Businesses
  • 9.7 Public Service Authorities

10 Global NeighborIQ Analytics Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 SAS Institute Inc.
  • 13.2 IBM Corporation
  • 13.3 Oracle Corporation
  • 13.4 Microsoft Corporation
  • 13.5 Google LLC
  • 13.6 Tableau Software, LLC
  • 13.7 QlikTech International AB
  • 13.8 Alteryx, Inc.
  • 13.9 TIBCO Software Inc.
  • 13.10 Palantir Technologies Inc.
  • 13.11 Esri, Inc.
  • 13.12 SAP SE
  • 13.13 Accenture plc
  • 13.14 Deloitte Touche Tohmatsu Limited
  • 13.15 Capgemini SE
  • 13.16 Snowflake Inc.

List of Tables

  • Table 1 Global NeighborIQ Analytics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global NeighborIQ Analytics Market Outlook, By Analytics Type (2023-2034) ($MN)
  • Table 3 Global NeighborIQ Analytics Market Outlook, By Community Intelligence Analytics (2023-2034) ($MN)
  • Table 4 Global NeighborIQ Analytics Market Outlook, By Behavioral Analytics (2023-2034) ($MN)
  • Table 5 Global NeighborIQ Analytics Market Outlook, By Demographic Analytics (2023-2034) ($MN)
  • Table 6 Global NeighborIQ Analytics Market Outlook, By Location Intelligence Analytics (2023-2034) ($MN)
  • Table 7 Global NeighborIQ Analytics Market Outlook, By Predictive Analytics (2023-2034) ($MN)
  • Table 8 Global NeighborIQ Analytics Market Outlook, By Social Sentiment Analytics (2023-2034) ($MN)
  • Table 9 Global NeighborIQ Analytics Market Outlook, By Neighborhood Risk Analytics (2023-2034) ($MN)
  • Table 10 Global NeighborIQ Analytics Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 11 Global NeighborIQ Analytics Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 12 Global NeighborIQ Analytics Market Outlook, By On-Premise (2023-2034) ($MN)
  • Table 13 Global NeighborIQ Analytics Market Outlook, By Hybrid (2023-2034) ($MN)
  • Table 14 Global NeighborIQ Analytics Market Outlook, By Private Cloud (2023-2034) ($MN)
  • Table 15 Global NeighborIQ Analytics Market Outlook, By Public Cloud (2023-2034) ($MN)
  • Table 16 Global NeighborIQ Analytics Market Outlook, By Multi-Cloud (2023-2034) ($MN)
  • Table 17 Global NeighborIQ Analytics Market Outlook, By Technology (2023-2034) ($MN)
  • Table 18 Global NeighborIQ Analytics Market Outlook, By Artificial Intelligence (2023-2034) ($MN)
  • Table 19 Global NeighborIQ Analytics Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 20 Global NeighborIQ Analytics Market Outlook, By Big Data Analytics (2023-2034) ($MN)
  • Table 21 Global NeighborIQ Analytics Market Outlook, By Geospatial Analytics (2023-2034) ($MN)
  • Table 22 Global NeighborIQ Analytics Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 23 Global NeighborIQ Analytics Market Outlook, By Cloud Analytics (2023-2034) ($MN)
  • Table 24 Global NeighborIQ Analytics Market Outlook, By Application (2023-2034) ($MN)
  • Table 25 Global NeighborIQ Analytics Market Outlook, By Community Assessment (2023-2034) ($MN)
  • Table 26 Global NeighborIQ Analytics Market Outlook, By Public Safety Analysis (2023-2034) ($MN)
  • Table 27 Global NeighborIQ Analytics Market Outlook, By Urban Planning (2023-2034) ($MN)
  • Table 28 Global NeighborIQ Analytics Market Outlook, By Real Estate Intelligence (2023-2034) ($MN)
  • Table 29 Global NeighborIQ Analytics Market Outlook, By Market Research (2023-2034) ($MN)
  • Table 30 Global NeighborIQ Analytics Market Outlook, By Citizen Engagement Analysis (2023-2034) ($MN)
  • Table 31 Global NeighborIQ Analytics Market Outlook, By Resource Allocation Planning (2023-2034) ($MN)
  • Table 32 Global NeighborIQ Analytics Market Outlook, By End User (2023-2034) ($MN)
  • Table 33 Global NeighborIQ Analytics Market Outlook, By Government Agencies (2023-2034) ($MN)
  • Table 34 Global NeighborIQ Analytics Market Outlook, By Real Estate Firms (2023-2034) ($MN)
  • Table 35 Global NeighborIQ Analytics Market Outlook, By Urban Planners (2023-2034) ($MN)
  • Table 36 Global NeighborIQ Analytics Market Outlook, By Research Organizations (2023-2034) ($MN)
  • Table 37 Global NeighborIQ Analytics Market Outlook, By Community Development Agencies (2023-2034) ($MN)
  • Table 38 Global NeighborIQ Analytics Market Outlook, By Retail Businesses (2023-2034) ($MN)
  • Table 39 Global NeighborIQ Analytics Market Outlook, By Public Service Authorities (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.