另類資料市場分析及預測（至2035年）：依類型、產品類型、服務、技術、元件、應用、最終使用者、流程及部署類型分類

預計到2034年，另類數據市場規模將從2024年的86億美元成長至1,842億美元，複合年成長率約為35.9%。另類資料市場涵蓋社群媒體、衛星影像和交易資料等非傳統資料來源，提供超越傳統金融資料的洞察。該市場服務於金融、零售和保險等行業，協助企業最佳化決策和提升競爭策略。巨量資料分析和人工智慧技術的快速發展正在推動對另類數據的需求，使其成為預測分析和市場情報的關鍵工具。

另類數據市場正迅速發展，其驅動力在於對決策流程獨特洞察的需求日益成長。金融服務業引領市場，利用另類數據制定投資策略和進行風險管理。避險基金和資產管理公司是該領域的領導企業，它們利用社交媒體、衛星圖像和交易數據。零售業緊隨其後，利用消費行為和情緒分析來提升客戶參與並最佳化供應鏈。醫療產業是成長速度第二快的行業，它們利用另類數據進行預測分析和個人化醫療。製藥公司和保險公司是醫療保健領域的關鍵參與者，它們利用患者數據和臨床試驗資訊來推動創新並改善治療效果。機器學習和人工智慧技術的興起進一步促進了另類資料的應用，從而能夠實現更精準的預測和策略洞察。隨著資料隱私法規的不斷完善，合規性和倫理考量對於永續成長仍然至關重要。

另類資料市場以產品多樣化為特徵，創新平台和專有資料供應商佔據了相當大的市場佔有率。定價策略各不相同，反映了另類資料解決方案的客製化特性和競爭格局。近期發布的產品主要著重於增強資料細分和即時分析能力，以滿足日益成長的對可執行洞察的需求。策略夥伴關係和合作進一步推動了這個動態環境的發展，從而建構了一個支持持續創新的強大生態系統。另類數據市場的競爭異常激烈，現有企業和新興Start-Ups都在爭奪主導。基準研究表明，數據品質和整合能力正日益成為關鍵的差異化因素。監管的影響，尤其是在北美和歐洲，正在塑造資料隱私標準和合規要求。這些法規對於指導市場行為和建立相關人員之間的信任至關重要。隨著人工智慧和機器學習技術的進步提升了數據處理和預測分析能力，市場蓄勢待發，即將迎來成長。

主要趨勢和促進因素：

另類數據市場正經歷強勁成長，其主要驅動力是市場對更全面、更具預測性的洞察日益成長的需求。關鍵趨勢包括資料來源的多元化，例如衛星影像、社群媒體分析和網路流量數據，這些數據提供了超越傳統資料集的多元觀點。人工智慧 (AI) 和機器學習技術的整合提升了資料處理能力，從而實現更準確、更及時的分析。金融機構和投資公司正擴大採用另類數據來獲取競爭優勢並做出更明智的決策。數位平台和電子商務的興起增加了消費行為數據的可用性，為深入了解市場趨勢提供了豐富的見解。此外，不斷變化的監管法規正在塑造資料隱私和安全標準，影響另類資料的收集和使用方式。新興市場蘊藏著許多機遇，這些市場正加速數位轉型，數據可及性也不斷提高。能夠提供創新數據解決方案並確保符合不斷變化的監管法規的公司，將佔據有利地位，在這個快速成長的市場中獲利。隨著對可操作洞察的需求持續成長，在技術進步和對更深入市場理解的需求的推動下，另類數據市場預計將繼續擴張。

目錄

第1章執行摘要

第2章 市場亮點

第3章 市場動態

• 宏觀經濟分析
• 市場趨勢
• 市場促進因素
• 市場機遇
• 市場限制
• 複合年均成長率：成長分析
• 影響分析
• 新興市場
• 技術藍圖
• 戰略框架

第4章 細分市場分析

• 市場規模及預測：依類型
  • 另類金融數據
  • 網路數據
  • 社群媒體數據
  • 感測器數據
  • 地理空間數據
  • 衛星數據
  • 行動應用使用數據
  • 電子商務數據
• 市場規模及預測：依產品分類
  • 資料饋送
  • 數據分析
  • 資料管理解決方案
  • 資料整合工具
• 市場規模及預測：依服務分類
  • 諮詢服務
  • 託管服務
  • 支援與維護
• 市場規模及預測：依技術分類
  • 人工智慧
  • 機器學習
  • 巨量資料分析
  • 區塊鏈
  • 雲端運算
  • 物聯網 (IoT)
• 市場規模及預測：依組件分類
  • 軟體
  • 硬體
• 市場規模及預測：依應用領域分類
  • 投資策略
  • 風險管理
  • 詐欺偵測
  • 市場研究
  • 供應鏈最佳化
  • 客戶洞察
• 市場規模及預測：依最終用戶分類
  • 金融機構
  • 零售公司
  • 醫療保健提供者
  • 溝通
  • 能源與公共產業
  • 政府機構
• 市場規模及預測：依製程分類
  • 數據收集
  • 資料處理
  • 數據分析
  • 數據視覺化
• 市場規模及預測：依發展狀況
  • 本地部署
  • 基於雲端的
  • 混合

第5章 區域分析

• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 拉丁美洲
  • 巴西
  • 阿根廷
  • 其他拉丁美洲地區
• 亞太地區
  • 中國
  • 印度
  • 韓國
  • 日本
  • 澳洲
  • 台灣
  • 亞太其他地區
• 歐洲
  • 德國
  • 法國
  • 英國
  • 西班牙
  • 義大利
  • 其他歐洲地區
• 中東和非洲
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非
  • 撒哈拉以南非洲
  • 其他中東和非洲地區

第6章 市場策略

• 需求與供給差距分析
• 貿易和物流限制
• 價格、成本和利潤率趨勢
• 市場滲透率
• 消費者分析
• 法規概述

第7章 競爭訊息

• 市場定位
• 市場占有率
• 競爭基準
• 主要企業的策略

第8章 公司簡介

• Quandl
• Thinknum
• Yipit Data
• Kensho
• Raven Pack
• Thinknum Alternative Data
• Advan Research
• Orbital Insight
• Preqin
• Second Measure
• Battle Fin
• Apptopia
• Owler
• Thinknum Media
• Visible Alpha
• Earnest Research
• M Science
• Tegus
• Thinknum Jobs
• Neudata

第9章：關於我們

Alternative Data Market is anticipated to expand from $8.6 billion in 2024 to $184.2 billion by 2034, growing at a CAGR of approximately 35.9%. The Alternative Data Market encompasses non-traditional data sources such as social media, satellite imagery, and transaction data, offering insights beyond conventional financial data. This market serves industries like finance, retail, and insurance, enhancing decision-making and competitive strategies. The surge in big data analytics and AI technologies propels the demand for alternative data, transforming it into a pivotal tool for predictive analytics and market intelligence.

The Alternative Data Market is rapidly evolving, driven by the increasing need for unique insights in decision-making processes. The financial services segment leads the market, leveraging alternative data for investment strategies and risk management. Within this segment, hedge funds and asset managers are top performers, utilizing data from social media, satellite imagery, and transaction data. The retail sector follows, capitalizing on consumer behavior analytics and sentiment analysis to enhance customer engagement and optimize supply chains. The healthcare industry is the second fastest-growing sector, employing alternative data for predictive analytics and personalized medicine. Within healthcare, pharmaceutical companies and insurers are key players, utilizing patient data and clinical trial information to drive innovation and improve outcomes. The rise of machine learning and AI technologies is further propelling the use of alternative data, enabling more accurate predictions and strategic insights. As data privacy regulations evolve, compliance and ethical considerations remain paramount for sustained growth.

The Alternative Data Market is characterized by a diverse range of offerings, with significant market share held by innovative platforms and proprietary data providers. Pricing strategies are varied, reflecting the bespoke nature of alternative data solutions and the competitive landscape. Recent product launches have focused on enhancing data granularity and real-time analytics capabilities, addressing the growing demand for actionable insights. This dynamic environment is further enriched by strategic partnerships and collaborations, fostering a robust ecosystem that supports continuous innovation. Competition within the Alternative Data Market is intense, with established firms and emerging startups vying for dominance. Benchmarking reveals a focus on data quality and integration capabilities as key differentiators. Regulatory influences, particularly in North America and Europe, are shaping data privacy standards and compliance requirements. These regulations are pivotal in guiding market practices and fostering trust among stakeholders. The market is poised for growth, driven by advancements in AI and machine learning, which are enhancing data processing and predictive analytics capabilities.

Tariff Impact:

The global tariff landscape, coupled with geopolitical tensions, is significantly influencing the Alternative Data Market. In Japan and South Korea, escalating tariffs are prompting a pivot towards self-sufficiency, with increased investment in domestic data analytics capabilities. China's strategic focus is on reducing dependency on foreign data sources, fostering indigenous data ecosystems under the specter of trade restrictions. Taiwan, while a pivotal data provider, navigates geopolitical risks, particularly with its proximity to China. The global parent market is robust, driven by the insatiable demand for data-driven insights, yet it faces headwinds from supply chain disruptions and geopolitical uncertainties. By 2035, the market is expected to be shaped by regional collaborations and technological advancements, while Middle East conflicts pose potential volatility in energy prices, influencing operational costs.

Geographical Overview:

The alternative data market is expanding across various regions, each presenting unique growth opportunities. North America leads, driven by the financial sector's demand for innovative data sources to gain competitive edges. The region's robust technological infrastructure and advanced analytics capabilities bolster this growth. Europe follows, with increasing adoption of alternative data in investment strategies, particularly in countries like the United Kingdom and Germany. These nations are leveraging diverse data sources to enhance predictive analytics and investment decisions. In Asia Pacific, emerging economies such as India and China are experiencing rapid growth. The proliferation of mobile technology and increased internet penetration are key factors. These countries are harnessing alternative data to drive business intelligence and strategic planning. Latin America and the Middle East & Africa are nascent markets with promising potential. Brazil in Latin America is witnessing increased interest in alternative data, while the Middle East is recognizing its benefits in economic diversification and innovation.

Key Trends and Drivers:

The alternative data market is experiencing robust growth, driven by the increasing demand for more comprehensive and predictive insights. Key trends include the proliferation of data sources, such as satellite imagery, social media analytics, and web traffic data, which provide diverse perspectives beyond traditional datasets. The integration of artificial intelligence and machine learning technologies is enhancing data processing capabilities, allowing for more accurate and timely analysis. Financial institutions and investment firms are increasingly adopting alternative data to gain competitive advantages and make informed decisions. The rise of digital platforms and e-commerce has expanded the availability of consumer behavior data, offering rich insights into market trends. Furthermore, regulatory developments are shaping data privacy and security standards, influencing how alternative data is collected and utilized. Opportunities abound in emerging markets where digital transformation is accelerating, and data accessibility is improving. Companies that can offer innovative data solutions and ensure compliance with evolving regulations are well-positioned to capitalize on this burgeoning market. As the demand for actionable insights continues to grow, the alternative data market is set to expand, driven by technological advancements and the quest for deeper market understanding.

Research Scope:

• Estimates and forecasts the overall market size across type, application, and region.
• Provides detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling.
• Identifies factors influencing market growth and challenges, opportunities, drivers, and restraints.
• Identifies factors that could limit company participation in international markets to help calibrate market share expectations and growth rates.
• Evaluates key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities.
• Analyzes smaller market segments strategically, focusing on their potential, growth patterns, and impact on the overall market.
• Outlines the competitive landscape, assessing business and corporate strategies to monitor and dissect competitive advancements.

Our research scope provides comprehensive market data, insights, and analysis across a variety of critical areas. We cover Local Market Analysis, assessing consumer demographics, purchasing behaviors, and market size within specific regions to identify growth opportunities. Our Local Competition Review offers a detailed evaluation of competitors, including their strengths, weaknesses, and market positioning. We also conduct Local Regulatory Reviews to ensure businesses comply with relevant laws and regulations. Industry Analysis provides an in-depth look at market dynamics, key players, and trends. Additionally, we offer Cross-Segmental Analysis to identify synergies between different market segments, as well as Production-Consumption and Demand-Supply Analysis to optimize supply chain efficiency. Our Import-Export Analysis helps businesses navigate global trade environments by evaluating trade flows and policies. These insights empower clients to make informed strategic decisions, mitigate risks, and capitalize on market opportunities.

TABLE OF CONTENTS

1 Executive Summary

• 1.1 Market Size and Forecast
• 1.2 Market Overview
• 1.3 Market Snapshot
• 1.4 Regional Snapshot
• 1.5 Strategic Recommendations
• 1.6 Analyst Notes

2 Market Highlights

• 2.1 Key Market Highlights by Type
• 2.2 Key Market Highlights by Product
• 2.3 Key Market Highlights by Services
• 2.4 Key Market Highlights by Technology
• 2.5 Key Market Highlights by Component
• 2.6 Key Market Highlights by Application
• 2.7 Key Market Highlights by End User
• 2.8 Key Market Highlights by Process
• 2.9 Key Market Highlights by Deployment

3 Market Dynamics

• 3.1 Macroeconomic Analysis
• 3.2 Market Trends
• 3.3 Market Drivers
• 3.4 Market Opportunities
• 3.5 Market Restraints
• 3.6 CAGR Growth Analysis
• 3.7 Impact Analysis
• 3.8 Emerging Markets
• 3.9 Technology Roadmap
• 3.10 Strategic Frameworks
  • 3.10.1 PORTER's 5 Forces Model
  • 3.10.2 ANSOFF Matrix
  • 3.10.3 4P's Model
  • 3.10.4 PESTEL Analysis

4 Segment Analysis

• 4.1 Market Size & Forecast by Type (2020-2035)
  • 4.1.1 Alternative Financial Data
  • 4.1.2 Web Data
  • 4.1.3 Social Media Data
  • 4.1.4 Sensor Data
  • 4.1.5 Geospatial Data
  • 4.1.6 Satellite Data
  • 4.1.7 Mobile Application Usage Data
  • 4.1.8 E-commerce Data
• 4.2 Market Size & Forecast by Product (2020-2035)
  • 4.2.1 Data Feeds
  • 4.2.2 Data Analytics
  • 4.2.3 Data Management Solutions
  • 4.2.4 Data Integration Tools
• 4.3 Market Size & Forecast by Services (2020-2035)
  • 4.3.1 Consulting Services
  • 4.3.2 Managed Services
  • 4.3.3 Support and Maintenance
• 4.4 Market Size & Forecast by Technology (2020-2035)
  • 4.4.1 Artificial Intelligence
  • 4.4.2 Machine Learning
  • 4.4.3 Big Data Analytics
  • 4.4.4 Blockchain
  • 4.4.5 Cloud Computing
  • 4.4.6 Internet of Things (IoT)
• 4.5 Market Size & Forecast by Component (2020-2035)
  • 4.5.1 Software
  • 4.5.2 Hardware
• 4.6 Market Size & Forecast by Application (2020-2035)
  • 4.6.1 Investment Strategy
  • 4.6.2 Risk Management
  • 4.6.3 Fraud Detection
  • 4.6.4 Market Research
  • 4.6.5 Supply Chain Optimization
  • 4.6.6 Customer Insights
• 4.7 Market Size & Forecast by End User (2020-2035)
  • 4.7.1 Financial Institutions
  • 4.7.2 Retail Companies
  • 4.7.3 Healthcare Providers
  • 4.7.4 Telecommunications
  • 4.7.5 Energy and Utilities
  • 4.7.6 Government Agencies
• 4.8 Market Size & Forecast by Process (2020-2035)
  • 4.8.1 Data Collection
  • 4.8.2 Data Processing
  • 4.8.3 Data Analysis
  • 4.8.4 Data Visualization
• 4.9 Market Size & Forecast by Deployment (2020-2035)
  • 4.9.1 On-Premises
  • 4.9.2 Cloud-Based
  • 4.9.3 Hybrid

5 Regional Analysis

• 5.1 Global Market Overview
• 5.2 North America Market Size (2020-2035)
  • 5.2.1 United States
    • 5.2.1.1 Type
    • 5.2.1.2 Product
    • 5.2.1.3 Services
    • 5.2.1.4 Technology
    • 5.2.1.5 Component
    • 5.2.1.6 Application
    • 5.2.1.7 End User
    • 5.2.1.8 Process
    • 5.2.1.9 Deployment
  • 5.2.2 Canada
    • 5.2.2.1 Type
    • 5.2.2.2 Product
    • 5.2.2.3 Services
    • 5.2.2.4 Technology
    • 5.2.2.5 Component
    • 5.2.2.6 Application
    • 5.2.2.7 End User
    • 5.2.2.8 Process
    • 5.2.2.9 Deployment
  • 5.2.3 Mexico
    • 5.2.3.1 Type
    • 5.2.3.2 Product
    • 5.2.3.3 Services
    • 5.2.3.4 Technology
    • 5.2.3.5 Component
    • 5.2.3.6 Application
    • 5.2.3.7 End User
    • 5.2.3.8 Process
    • 5.2.3.9 Deployment
• 5.3 Latin America Market Size (2020-2035)
  • 5.3.1 Brazil
    • 5.3.1.1 Type
    • 5.3.1.2 Product
    • 5.3.1.3 Services
    • 5.3.1.4 Technology
    • 5.3.1.5 Component
    • 5.3.1.6 Application
    • 5.3.1.7 End User
    • 5.3.1.8 Process
    • 5.3.1.9 Deployment
  • 5.3.2 Argentina
    • 5.3.2.1 Type
    • 5.3.2.2 Product
    • 5.3.2.3 Services
    • 5.3.2.4 Technology
    • 5.3.2.5 Component
    • 5.3.2.6 Application
    • 5.3.2.7 End User
    • 5.3.2.8 Process
    • 5.3.2.9 Deployment
  • 5.3.3 Rest of Latin America
    • 5.3.3.1 Type
    • 5.3.3.2 Product
    • 5.3.3.3 Services
    • 5.3.3.4 Technology
    • 5.3.3.5 Component
    • 5.3.3.6 Application
    • 5.3.3.7 End User
    • 5.3.3.8 Process
    • 5.3.3.9 Deployment
• 5.4 Asia-Pacific Market Size (2020-2035)
  • 5.4.1 China
    • 5.4.1.1 Type
    • 5.4.1.2 Product
    • 5.4.1.3 Services
    • 5.4.1.4 Technology
    • 5.4.1.5 Component
    • 5.4.1.6 Application
    • 5.4.1.7 End User
    • 5.4.1.8 Process
    • 5.4.1.9 Deployment
  • 5.4.2 India
    • 5.4.2.1 Type
    • 5.4.2.2 Product
    • 5.4.2.3 Services
    • 5.4.2.4 Technology
    • 5.4.2.5 Component
    • 5.4.2.6 Application
    • 5.4.2.7 End User
    • 5.4.2.8 Process
    • 5.4.2.9 Deployment
  • 5.4.3 South Korea
    • 5.4.3.1 Type
    • 5.4.3.2 Product
    • 5.4.3.3 Services
    • 5.4.3.4 Technology
    • 5.4.3.5 Component
    • 5.4.3.6 Application
    • 5.4.3.7 End User
    • 5.4.3.8 Process
    • 5.4.3.9 Deployment
  • 5.4.4 Japan
    • 5.4.4.1 Type
    • 5.4.4.2 Product
    • 5.4.4.3 Services
    • 5.4.4.4 Technology
    • 5.4.4.5 Component
    • 5.4.4.6 Application
    • 5.4.4.7 End User
    • 5.4.4.8 Process
    • 5.4.4.9 Deployment
  • 5.4.5 Australia
    • 5.4.5.1 Type
    • 5.4.5.2 Product
    • 5.4.5.3 Services
    • 5.4.5.4 Technology
    • 5.4.5.5 Component
    • 5.4.5.6 Application
    • 5.4.5.7 End User
    • 5.4.5.8 Process
    • 5.4.5.9 Deployment
  • 5.4.6 Taiwan
    • 5.4.6.1 Type
    • 5.4.6.2 Product
    • 5.4.6.3 Services
    • 5.4.6.4 Technology
    • 5.4.6.5 Component
    • 5.4.6.6 Application
    • 5.4.6.7 End User
    • 5.4.6.8 Process
    • 5.4.6.9 Deployment
  • 5.4.7 Rest of APAC
    • 5.4.7.1 Type
    • 5.4.7.2 Product
    • 5.4.7.3 Services
    • 5.4.7.4 Technology
    • 5.4.7.5 Component
    • 5.4.7.6 Application
    • 5.4.7.7 End User
    • 5.4.7.8 Process
    • 5.4.7.9 Deployment
• 5.5 Europe Market Size (2020-2035)
  • 5.5.1 Germany
    • 5.5.1.1 Type
    • 5.5.1.2 Product
    • 5.5.1.3 Services
    • 5.5.1.4 Technology
    • 5.5.1.5 Component
    • 5.5.1.6 Application
    • 5.5.1.7 End User
    • 5.5.1.8 Process
    • 5.5.1.9 Deployment
  • 5.5.2 France
    • 5.5.2.1 Type
    • 5.5.2.2 Product
    • 5.5.2.3 Services
    • 5.5.2.4 Technology
    • 5.5.2.5 Component
    • 5.5.2.6 Application
    • 5.5.2.7 End User
    • 5.5.2.8 Process
    • 5.5.2.9 Deployment
  • 5.5.3 United Kingdom
    • 5.5.3.1 Type
    • 5.5.3.2 Product
    • 5.5.3.3 Services
    • 5.5.3.4 Technology
    • 5.5.3.5 Component
    • 5.5.3.6 Application
    • 5.5.3.7 End User
    • 5.5.3.8 Process
    • 5.5.3.9 Deployment
  • 5.5.4 Spain
    • 5.5.4.1 Type
    • 5.5.4.2 Product
    • 5.5.4.3 Services
    • 5.5.4.4 Technology
    • 5.5.4.5 Component
    • 5.5.4.6 Application
    • 5.5.4.7 End User
    • 5.5.4.8 Process
    • 5.5.4.9 Deployment
  • 5.5.5 Italy
    • 5.5.5.1 Type
    • 5.5.5.2 Product
    • 5.5.5.3 Services
    • 5.5.5.4 Technology
    • 5.5.5.5 Component
    • 5.5.5.6 Application
    • 5.5.5.7 End User
    • 5.5.5.8 Process
    • 5.5.5.9 Deployment
  • 5.5.6 Rest of Europe
    • 5.5.6.1 Type
    • 5.5.6.2 Product
    • 5.5.6.3 Services
    • 5.5.6.4 Technology
    • 5.5.6.5 Component
    • 5.5.6.6 Application
    • 5.5.6.7 End User
    • 5.5.6.8 Process
    • 5.5.6.9 Deployment
• 5.6 Middle East & Africa Market Size (2020-2035)
  • 5.6.1 Saudi Arabia
    • 5.6.1.1 Type
    • 5.6.1.2 Product
    • 5.6.1.3 Services
    • 5.6.1.4 Technology
    • 5.6.1.5 Component
    • 5.6.1.6 Application
    • 5.6.1.7 End User
    • 5.6.1.8 Process
    • 5.6.1.9 Deployment
  • 5.6.2 United Arab Emirates
    • 5.6.2.1 Type
    • 5.6.2.2 Product
    • 5.6.2.3 Services
    • 5.6.2.4 Technology
    • 5.6.2.5 Component
    • 5.6.2.6 Application
    • 5.6.2.7 End User
    • 5.6.2.8 Process
    • 5.6.2.9 Deployment
  • 5.6.3 South Africa
    • 5.6.3.1 Type
    • 5.6.3.2 Product
    • 5.6.3.3 Services
    • 5.6.3.4 Technology
    • 5.6.3.5 Component
    • 5.6.3.6 Application
    • 5.6.3.7 End User
    • 5.6.3.8 Process
    • 5.6.3.9 Deployment
  • 5.6.4 Sub-Saharan Africa
    • 5.6.4.1 Type
    • 5.6.4.2 Product
    • 5.6.4.3 Services
    • 5.6.4.4 Technology
    • 5.6.4.5 Component
    • 5.6.4.6 Application
    • 5.6.4.7 End User
    • 5.6.4.8 Process
    • 5.6.4.9 Deployment
  • 5.6.5 Rest of MEA
    • 5.6.5.1 Type
    • 5.6.5.2 Product
    • 5.6.5.3 Services
    • 5.6.5.4 Technology
    • 5.6.5.5 Component
    • 5.6.5.6 Application
    • 5.6.5.7 End User
    • 5.6.5.8 Process
    • 5.6.5.9 Deployment

6 Market Strategy

• 6.1 Demand-Supply Gap Analysis
• 6.2 Trade & Logistics Constraints
• 6.3 Price-Cost-Margin Trends
• 6.4 Market Penetration
• 6.5 Consumer Analysis
• 6.6 Regulatory Snapshot

7 Competitive Intelligence

• 7.1 Market Positioning
• 7.2 Market Share
• 7.3 Competition Benchmarking
• 7.4 Top Company Strategies

8 Company Profiles

• 8.1 Quandl
  • 8.1.1 Overview
  • 8.1.2 Product Summary
  • 8.1.3 Financial Performance
  • 8.1.4 SWOT Analysis
• 8.2 Thinknum
  • 8.2.1 Overview
  • 8.2.2 Product Summary
  • 8.2.3 Financial Performance
  • 8.2.4 SWOT Analysis
• 8.3 Yipit Data
  • 8.3.1 Overview
  • 8.3.2 Product Summary
  • 8.3.3 Financial Performance
  • 8.3.4 SWOT Analysis
• 8.4 Kensho
  • 8.4.1 Overview
  • 8.4.2 Product Summary
  • 8.4.3 Financial Performance
  • 8.4.4 SWOT Analysis
• 8.5 Raven Pack
  • 8.5.1 Overview
  • 8.5.2 Product Summary
  • 8.5.3 Financial Performance
  • 8.5.4 SWOT Analysis
• 8.6 Thinknum Alternative Data
  • 8.6.1 Overview
  • 8.6.2 Product Summary
  • 8.6.3 Financial Performance
  • 8.6.4 SWOT Analysis
• 8.7 Advan Research
  • 8.7.1 Overview
  • 8.7.2 Product Summary
  • 8.7.3 Financial Performance
  • 8.7.4 SWOT Analysis
• 8.8 Orbital Insight
  • 8.8.1 Overview
  • 8.8.2 Product Summary
  • 8.8.3 Financial Performance
  • 8.8.4 SWOT Analysis
• 8.9 Preqin
  • 8.9.1 Overview
  • 8.9.2 Product Summary
  • 8.9.3 Financial Performance
  • 8.9.4 SWOT Analysis
• 8.10 Second Measure
  • 8.10.1 Overview
  • 8.10.2 Product Summary
  • 8.10.3 Financial Performance
  • 8.10.4 SWOT Analysis
• 8.11 Battle Fin
  • 8.11.1 Overview
  • 8.11.2 Product Summary
  • 8.11.3 Financial Performance
  • 8.11.4 SWOT Analysis
• 8.12 Apptopia
  • 8.12.1 Overview
  • 8.12.2 Product Summary
  • 8.12.3 Financial Performance
  • 8.12.4 SWOT Analysis
• 8.13 Owler
  • 8.13.1 Overview
  • 8.13.2 Product Summary
  • 8.13.3 Financial Performance
  • 8.13.4 SWOT Analysis
• 8.14 Thinknum Media
  • 8.14.1 Overview
  • 8.14.2 Product Summary
  • 8.14.3 Financial Performance
  • 8.14.4 SWOT Analysis
• 8.15 Visible Alpha
  • 8.15.1 Overview
  • 8.15.2 Product Summary
  • 8.15.3 Financial Performance
  • 8.15.4 SWOT Analysis
• 8.16 Earnest Research
  • 8.16.1 Overview
  • 8.16.2 Product Summary
  • 8.16.3 Financial Performance
  • 8.16.4 SWOT Analysis
• 8.17 M Science
  • 8.17.1 Overview
  • 8.17.2 Product Summary
  • 8.17.3 Financial Performance
  • 8.17.4 SWOT Analysis
• 8.18 Tegus
  • 8.18.1 Overview
  • 8.18.2 Product Summary
  • 8.18.3 Financial Performance
  • 8.18.4 SWOT Analysis
• 8.19 Thinknum Jobs
  • 8.19.1 Overview
  • 8.19.2 Product Summary
  • 8.19.3 Financial Performance
  • 8.19.4 SWOT Analysis
• 8.20 Neudata
  • 8.20.1 Overview
  • 8.20.2 Product Summary
  • 8.20.3 Financial Performance
  • 8.20.4 SWOT Analysis

9 About Us

• 9.1 About Us
• 9.2 Research Methodology
• 9.3 Research Workflow
• 9.4 Consulting Services
• 9.5 Our Clients
• 9.6 Client Testimonials
• 9.7 Contact Us