查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1779618

全球無人機人工智慧市場（按部署方式、組件、最終用途產業和地區）：趨勢分析、競爭格局和預測（2019-2031年）

AI in Drones Market, By Deployment; By Component; By End Use Industry; By Region, Global Trend Analysis, Competitive Landscape & Forecast, 2019-2031
出版日期: | 出版商: Blueweave Consulting | 英文 385 Pages | 商品交期: 2-3個工作天內

價格
簡介目錄

2031年全球無人機AI市場規模將擴大4.9倍，超過32億美元

由於政府對無人機技術的支援不斷增加、無人機在國防和安全應用中的應用日益廣泛以及各行業之間的整合日益加強，全球無人機人工智慧市場蓬勃發展。

在最近的一項研究中，領先的策略諮詢和市場研究公司 BlueWeave Consulting 估計，到2024年全球無人機人工智慧市場的價值將達到 6.569億美元。 BlueWeave 預測，從2025年到2031年，全球無人機人工智慧市場將以 25.5%的年複合成長率強勁成長，到2031年將達到 32.2112億美元。全部區域無人機人工智慧市場的成長是由人工智慧日益融合所驅動的，以增強無人機操作的自主導航、即時資料處理和決策效率。由於對智慧、經濟高效的解決方案的需求不斷成長，人工智慧無人機在農業、物流和國防等不同領域的應用日益廣泛。DJI的Agras 系列提高了作物產量，配備人工智慧的無人機透過精準施肥提高了日本農民的收益，這些成功的應用凸顯了人工智慧無人機的實際效益。政府支持和新興市場舉措進一步推動了市場發展，例如美國聯邦航空管理局（FAA）已在美國為 40 多萬名商業無人機飛行員頒發了執照。中國和日本等國家正大力投資人工智慧和無人機技術，透過研發和技能發展計畫促進創新。這些進步不僅提高了業務效率，也產生了可觀的經濟回報。隨著監管環境的成熟，人工智慧無人機將徹底改變農業、監控和配送服務領域的傳統做法，實現更快、更準確和更自動化的營運。投資於人工智慧整合無人機解決方案的公司可以透過提高生產力、降低人事費用和滿足特定產業需求來獲得顯著的競爭優勢，鞏固人工智慧在未來無人機技術中的關鍵作用。

地緣政治緊張局勢加劇對全球無人機人工智慧市場的影響

不斷升級的地緣政治緊張局勢可能會擾亂全球無人機人工智慧市場的成長。不斷加劇的邊界糾紛、國防現代化建設以及日益成長的國家安全擔憂，正促使各國政府加快對用於監視、偵察和戰術行動的人工智慧無人機技術的投資，推動對自主智慧無人機系統的需求。然而，這種地緣政治不穩定因素造成的複雜性可能會擾亂全球供應鏈，減緩跨境技術轉移，並引發對無人機出口的監管限制。雖然這些緊張局勢在短期內刺激了國防應用的需求，但也對國際合作以及更廣泛的商用無人機市場的發展構成了長期挑戰。

北美主導全球無人機人工智慧市場

北美目前在全球無人機人工智慧市場佔據主要佔有率。這項發展得益於機器學習、電腦視覺和自然語言處理等領域的持續技術進步，使無人機能夠執行日益複雜和自主的功能，推動了面向未來、適用於各種應用的解決方案的開發。此外，該地區對工業自動化日益成長的需求加速人工智慧無人機的普及，提高業務效率、降低成本並最大限度地降低安全風險。這一趨勢顯著增加了無人機在資料收集、精細檢查和高效配送等關鍵任務中的使用。

競爭格局

全球無人機人工智慧市場的主要企業包括 Skycatch, Inc.、DRONE VOLT、Ambarella, Inc.、Airdronesoftware、FlytBase、Qualcomm Incorporated、Auterion、Intel Corporation、Scale、Skydio, Inc.、CEVA, Inc.、Folio3 AI、International Software DroneSense。公司數量的增加導致市場佔有率。這些公司採取各種策略，包括併購、夥伴關係、合資、授權合約和新產品發布，以進一步增加其市場佔有率。

本報告透過深入分析，提供了全球無人機人工智慧市場的成長潛力、未來趨勢和統計資料。報告也重點分析了影響市場總體規模預測的因素。本報告提供了全球無人機人工智慧市場的最新技術趨勢和業界考察，確保決策者能夠做出合理的策略決策。報告還分析了市場的成長動力、挑戰和競爭格局。

目錄

第1章 分析框架

第2章 執行摘要

第3章 全球無人機人工智慧市場考察

  • 最終用戶價值鏈分析
  • DROC分析
    • 成長動力
      • 加強政府支持
      • 國防和安全應用日益成長
      • 各行各業的採用率不斷提高
    • 抑制因素
      • 開發和營運成本高
      • 監管和空域挑戰
    • 機會
      • 擴大精密農業的應用
      • 物流配送需求快速成長
    • 課題
      • 熟練勞動力短缺
      • 對隱私和安全的擔憂日益加劇
  • 科技進步/最新趨勢
  • 法規結構
  • 波特五力分析

第4章 全球無人機人工智慧市場：行銷策略

第5章 全球無人機人工智慧市場：定價分析

第6章 全球無人機人工智慧市場：區域分析

  • 全球無人機人工智慧市場：區域分析（2024年）
  • 全球無人機人工智慧市場：市場魅力分析（2024-2031）

第7章 全球無人機人工智慧市場概況

  • 市場規模及預測（2019-2031）
    • 以金額為準
  • 市場佔有率和預測
    • 依部署方式
      • 基於人工智慧的導航
      • 基於人工智慧的成像
      • 雲端基礎的無人機
      • 人工智慧無人機
    • 依組件
      • 硬體
      • 軟體
      • 服務
    • 依最終用途行業
      • 軍事/國防
      • 農業
      • 物流/配送
      • 基礎設施檢查
      • 環境與防災管理
      • 媒體與娛樂
      • 繪圖和測量
    • 依地區
      • 北美洲
      • 歐洲
      • 亞太地區
      • 拉丁美洲
      • 中東和非洲

第8章 北美無人機人工智慧市場

  • 市場規模及預測（2019-2031）
    • 以金額為準
  • 市場佔有率和預測
    • 依部署方式
    • 依組件
    • 依最終用途行業
    • 依國家
      • 美國
      • 加拿大

第9章 歐洲無人機人工智慧市場

  • 市場規模及預測（2019-2031）
    • 以金額為準
  • 市場佔有率和預測
    • 依部署方式
    • 依組件
    • 依最終用途行業
    • 依國家
      • 德國
      • 英國
      • 義大利
      • 法國
      • 西班牙
      • 比利時
      • 俄羅斯
      • 荷蘭
      • 其他歐洲國家

第10章 亞太地區無人機人工智慧市場

  • 市場規模及預測（2019-2031）
    • 以金額為準
  • 市場佔有率和預測
    • 依部署方式
    • 依組件
    • 依最終用途行業
    • 依國家
      • 中國
      • 印度
      • 日本
      • 韓國
      • 澳洲和紐西蘭
      • 印尼
      • 馬來西亞
      • 新加坡
      • 越南
      • 其他亞太地區

第11章 拉丁美洲無人機人工智慧市場

  • 市場規模及預測（2019-2031）
    • 以金額為準
  • 市場佔有率和預測
    • 依部署方式
    • 依組件
    • 依最終用途行業
    • 依國家
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘魯
      • 其他拉丁美洲

第12章 中東和非洲的無人機人工智慧市場

  • 市場規模及預測（2019-2031）
    • 以金額為準
  • 市場佔有率和預測
    • 依部署方式
    • 依組件
    • 依最終用途行業
    • 依國家
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 科威特
      • 南非
      • 奈及利亞
      • 阿爾及利亞
      • 其他中東和非洲地區

第13章 競爭格局

  • 主要企業及其產品列表
  • 全球無人機人工智慧公司：市場佔有率分析（2024年）
  • 依業務參數進行競爭基準測試
  • 主要策略現狀（企業合併（M&A）、商業聯盟）

第14章 地緣政治緊張局勢加劇對全球無人機人工智慧市場的影響

第15章 公司簡介（公司概況、財務矩陣、競爭格局、公司負責人、主要競爭對手、聯絡資訊、策略展望、SWOT分析）

  • Skycatch, Inc.
  • DRONE VOLT
  • Ambarella, Inc.
  • Aidronesoftware
  • FlytBase
  • Qualcomm Incorporated
  • Auterion
  • Intel Corporation
  • Scale
  • Skydio, Inc.
  • CEVA, Inc.
  • Folio3 AI
  • International Business Machines Corporation（IBM）
  • NVIDIA Corporation
  • Folio3 Software Inc.
  • SZ DJI Technology Co., Ltd
  • DroneSense
  • 其他主要企業

第16章 主要策略建議

第17章 分析技術

簡介目錄
Product Code: BWC25384

Global AI in Drones Market Size Zooming 4.9X to Cross USD 3.2 Billion by 2031

Global AI in Drones Market is flourishing because of increasing government support for drone technology, the rising adoption of drones in defense and security applications, and their growing integration across various industries.

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated Global AI in Drones Market size at USD 656.9 million in 2024. During the forecast period between 2025 and 2031, BlueWeave expects Global AI in Drones Market size to boom at a robust CAGR of 25.5% reaching a value of USD 3,221.12 million by 2031. The growth of AI in Drones Market across the regions is propelled by the increasing integration of artificial intelligence to enhance autonomous navigation, real-time data processing, and decision-making efficiency in drone operations. AI-powered drones are seeing rising adoption across diverse sectors, including agriculture, logistics, and defense, due to the growing demand for intelligent, cost-effective solutions. Successful applications, such as DJI's Agras series improving crop yields and AI-enabled drones boosting farmer revenue in Japan through precise fertilizer application, highlight their tangible benefits. Market expansion is further propelled by supportive government initiatives and evolving regulatory frameworks, exemplified by the FAA's authorization of over 400,000 commercial drone operators in the United States Countries like China and Japan are making substantial investments in AI and drone technology, fostering innovation through R&D and skill development programs. These advancements not only enhance operational efficiency but also generate significant economic returns. As regulatory landscapes mature, AI-driven drones are poised to revolutionize traditional practices in agriculture, surveillance, and delivery services, enabling faster, more accurate, and automated operations. Businesses investing in AI-integrated drone solutions can gain significant competitive advantages by boosting productivity, reducing labor costs, and meeting specific industry demands, cementing AI's critical role in the future of drone technology.

Impact of Escalating Geopolitical Tensions on Global AI in Drones Market

Intensifying geopolitical tensions could disrupt the growth of Global AI in Drones Market. Heightened border conflicts, defense modernization efforts, and rising national security concerns are prompting governments to accelerate investments in AI-enabled drone technologies for surveillance, reconnaissance, and tactical operations, thereby driving demand for autonomous and intelligent drone systems. However, this geopolitical instability also introduces complexities by potentially disrupting global supply chains, delaying cross-border technology transfers, and triggering regulatory restrictions on drone exports. While these tensions fuel short-term demand in defense applications, they simultaneously pose long-term challenges to international collaboration and the broader commercial drone market development.

North America Dominates Global AI in Drones Market

North America currently holds a significant market share in Global AI in Drones Market. The expansion is fueled by continuous technological advancements in areas, such as machine learning, computer vision, and natural language processing, which empower drones to perform increasingly complex and autonomous functions, leading to the development of future-ready solutions across diverse applications. Furthermore, the rising demand for industrial automation within the region is accelerating the adoption of AI-powered drones, enabling enhanced operational efficiency, reduced costs, and minimized safety risks. This trend has significantly increased the utilization of drones for critical tasks including data collection, detailed inspections, and efficient deliveries.

Competitive Landscape

Major companies in Global AI in Drones Market include Skycatch, Inc., DRONE VOLT, Ambarella, Inc., Aidronesoftware, FlytBase, Qualcomm Incorporated, Auterion, Intel Corporation, Scale, Skydio, Inc., CEVA, Inc., Folio3 AI, International Business Machines Corporation (IBM), NVIDIA Corporation, Folio3 Software Inc., SZ DJI Technology Co., Ltd, and DroneSense. The presence of high number of companies intensify the market competition as they compete to gain a significant market share. These companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches to further enhance their market share.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and Global AI in Drones Market statistics. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global AI in Drones Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global AI in Drones Market Insights

  • 3.1. End User Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Increasing Government Support
      • 3.2.1.2. Growing Defense & Security Applications
      • 3.2.1.3. Rising Cross-Industry Adoption
    • 3.2.2. Restraints
      • 3.2.2.1. High Development and Operational Costs
      • 3.2.2.2. Regulatory & Airspace Challenges
    • 3.2.3. Opportunities
      • 3.2.3.1. Growing Use in Precision Agriculture
      • 3.2.3.2. Soaring Demand in Logistics and Delivery
    • 3.2.4. Challenges
      • 3.2.4.1. Lack of Skilled Workforce
      • 3.2.4.2. Increasing Concerns Over Privacy & Security
  • 3.3. Technological Advancements/Recent Developments
  • 3.4. Regulatory Framework
  • 3.5. Porter's Five Forces Analysis
    • 3.5.1. Bargaining Power of Suppliers
    • 3.5.2. Bargaining Power of Buyers
    • 3.5.3. Threat of New Entrants
    • 3.5.4. Threat of Substitutes
    • 3.5.5. Intensity of Rivalry

4. Global AI in Drones Market: Marketing Strategies

5. Global AI in Drones Market: Pricing Analysis

6. Global AI in Drones Market: Geography Analysis

  • 6.1. Global AI in Drones Market, Geographical Analysis, 2024
  • 6.2. Global AI in Drones, Market Attractiveness Analysis, 2024-2031

7. Global AI in Drones Market Overview

  • 7.1. Market Size & Forecast, 2019-2031
    • 7.1.1. By Value (USD Million)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Deployment
      • 7.2.1.1. AI-based navigation
      • 7.2.1.2. AI-based Imaging
      • 7.2.1.3. Cloud-based Drones
      • 7.2.1.4. On-board Drones
    • 7.2.2. By Component
      • 7.2.2.1. Hardware
      • 7.2.2.2. Software
      • 7.2.2.3. Services
    • 7.2.3. By End Use Industry
      • 7.2.3.1. Military & Defense
      • 7.2.3.2. Agriculture
      • 7.2.3.3. Logistics & Delivery
      • 7.2.3.4. Infrastructure Inspection
      • 7.2.3.5. Environmental & Disaster Management
      • 7.2.3.6. Media & Entertainment
      • 7.2.3.7. Mapping & Surveying
    • 7.2.4. By Region
      • 7.2.4.1. North America
      • 7.2.4.2. Europe
      • 7.2.4.3. Asia Pacific (APAC)
      • 7.2.4.4. Latin America (LATAM)
      • 7.2.4.5. Middle East and Africa (MEA)

8. North America AI in Drones Market

  • 8.1. Market Size & Forecast, 2019-2031
    • 8.1.1. By Value (USD Million)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Deployment
    • 8.2.2. By Component
    • 8.2.3. By End Use Industry
    • 8.2.4. By Country
      • 8.2.4.1. United States
      • 8.2.4.1.1. By Deployment
      • 8.2.4.1.2. By Component
      • 8.2.4.1.3. By End Use Industry
      • 8.2.4.2. Canada
      • 8.2.4.2.1. By Deployment
      • 8.2.4.2.2. By Component
      • 8.2.4.2.3. By End Use Industry

9. Europe AI in Drones Market

  • 9.1. Market Size & Forecast, 2019-2031
    • 9.1.1. By Value (USD Million)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Deployment
    • 9.2.2. By Component
    • 9.2.3. By End Use Industry
    • 9.2.4. By Country
      • 9.2.4.1. Germany
      • 9.2.4.1.1. By Deployment
      • 9.2.4.1.2. By Component
      • 9.2.4.1.3. By End Use Industry
      • 9.2.4.2. United Kingdom
      • 9.2.4.2.1. By Deployment
      • 9.2.4.2.2. By Component
      • 9.2.4.2.3. By End Use Industry
      • 9.2.4.3. Italy
      • 9.2.4.3.1. By Deployment
      • 9.2.4.3.2. By Component
      • 9.2.4.3.3. By End Use Industry
      • 9.2.4.4. France
      • 9.2.4.4.1. By Deployment
      • 9.2.4.4.2. By Component
      • 9.2.4.4.3. By End Use Industry
      • 9.2.4.5. Spain
      • 9.2.4.5.1. By Deployment
      • 9.2.4.5.2. By Component
      • 9.2.4.5.3. By End Use Industry
      • 9.2.4.6. Belgium
      • 9.2.4.6.1. By Deployment
      • 9.2.4.6.2. By Component
      • 9.2.4.6.3. By End Use Industry
      • 9.2.4.7. Russia
      • 9.2.4.7.1. By Deployment
      • 9.2.4.7.2. By Component
      • 9.2.4.7.3. By End Use Industry
      • 9.2.4.8. The Netherlands
      • 9.2.4.8.1. By Deployment
      • 9.2.4.8.2. By Component
      • 9.2.4.8.3. By End Use Industry
      • 9.2.4.9. Rest of Europe
      • 9.2.4.9.1. By Deployment
      • 9.2.4.9.2. By Component
      • 9.2.4.9.3. By End Use Industry

10. Asia Pacific AI in Drones Market

  • 10.1. Market Size & Forecast, 2019-2031
    • 10.1.1. By Value (USD Million)
  • 10.2. Market Share & Forecast
    • 10.2.1. By Deployment
    • 10.2.2. By Component
    • 10.2.3. By End Use Industry
    • 10.2.4. By Country
      • 10.2.4.1. China
      • 10.2.4.1.1. By Deployment
      • 10.2.4.1.2. By Component
      • 10.2.4.1.3. By End Use Industry
      • 10.2.4.2. India
      • 10.2.4.2.1. By Deployment
      • 10.2.4.2.2. By Component
      • 10.2.4.2.3. By End Use Industry
      • 10.2.4.3. Japan
      • 10.2.4.3.1. By Deployment
      • 10.2.4.3.2. By Component
      • 10.2.4.3.3. By End Use Industry
      • 10.2.4.4. South Korea
      • 10.2.4.4.1. By Deployment
      • 10.2.4.4.2. By Component
      • 10.2.4.4.3. By End Use Industry
      • 10.2.4.5. Australia and New Zealand
      • 10.2.4.5.1. By Deployment
      • 10.2.4.5.2. By Component
      • 10.2.4.5.3. By End Use Industry
      • 10.2.4.6. Indonesia
      • 10.2.4.6.1. By Deployment
      • 10.2.4.6.2. By Component
      • 10.2.4.6.3. By End Use Industry
      • 10.2.4.7. Malaysia
      • 10.2.4.7.1. By Deployment
      • 10.2.4.7.2. By Component
      • 10.2.4.7.3. By End Use Industry
      • 10.2.4.8. Singapore
      • 10.2.4.8.1. By Deployment
      • 10.2.4.8.2. By Component
      • 10.2.4.8.3. By End Use Industry
      • 10.2.4.9. Vietnam
      • 10.2.4.9.1. By Deployment
      • 10.2.4.9.2. By Component
      • 10.2.4.9.3. By End Use Industry
      • 10.2.4.10. Rest of APAC
      • 10.2.4.10.1. By Deployment
      • 10.2.4.10.2. By Component
      • 10.2.4.10.3. By End Use Industry

11. Latin America AI in Drones Market

  • 11.1. Market Size & Forecast, 2019-2031
    • 11.1.1. By Value (USD Million)
  • 11.2. Market Share & Forecast
    • 11.2.1. By Deployment
    • 11.2.2. By Component
    • 11.2.3. By End Use Industry
    • 11.2.4. By Country
      • 11.2.4.1. Brazil
      • 11.2.4.1.1. By Deployment
      • 11.2.4.1.2. By Component
      • 11.2.4.1.3. By End Use Industry
      • 11.2.4.2. Mexico
      • 11.2.4.2.1. By Deployment
      • 11.2.4.2.2. By Component
      • 11.2.4.2.3. By End Use Industry
      • 11.2.4.3. Argentina
      • 11.2.4.3.1. By Deployment
      • 11.2.4.3.2. By Component
      • 11.2.4.3.3. By End Use Industry
      • 11.2.4.4. Peru
      • 11.2.4.4.1. By Deployment
      • 11.2.4.4.2. By Component
      • 11.2.4.4.3. By End Use Industry
      • 11.2.4.5. Rest of LATAM
      • 11.2.4.5.1. By Deployment
      • 11.2.4.5.2. By Component
      • 11.2.4.5.3. By End Use Industry

12. Middle East and Africa AI in Drones Market

  • 12.1. Market Size & Forecast, 2019-2031
    • 12.1.1. By Value (USD Million)
  • 12.2. Market Share & Forecast
    • 12.2.1. By Deployment
    • 12.2.2. By Component
    • 12.2.3. By End Use Industry
    • 12.2.4. By Country
      • 12.2.4.1. Saudi Arabia
      • 12.2.4.1.1. By Deployment
      • 12.2.4.1.2. By Component
      • 12.2.4.1.3. By End Use Industry
      • 12.2.4.2. UAE
      • 12.2.4.2.1. By Deployment
      • 12.2.4.2.2. By Component
      • 12.2.4.2.3. By End Use Industry
      • 12.2.4.3. Qatar
      • 12.2.4.3.1. By Deployment
      • 12.2.4.3.2. By Component
      • 12.2.4.3.3. By End Use Industry
      • 12.2.4.4. Kuwait
      • 12.2.4.4.1. By Deployment
      • 12.2.4.4.2. By Component
      • 12.2.4.4.3. By End Use Industry
      • 12.2.4.5. South Africa
      • 12.2.4.5.1. By Deployment
      • 12.2.4.5.2. By Component
      • 12.2.4.5.3. By End Use Industry
      • 12.2.4.6. Nigeria
      • 12.2.4.6.1. By Deployment
      • 12.2.4.6.2. By Component
      • 12.2.4.6.3. By End Use Industry
      • 12.2.4.7. Algeria
      • 12.2.4.7.1. By Deployment
      • 12.2.4.7.2. By Component
      • 12.2.4.7.3. By End Use Industry
      • 12.2.4.8. Rest of MEA
      • 12.2.4.8.1. By Deployment
      • 12.2.4.8.2. By Component
      • 12.2.4.8.3. By End Use Industry

13. Competitive Landscape

  • 13.1. List of Key Players and Their Offerings
  • 13.2. Global AI in Drones Company Market Share Analysis, 2024
  • 13.3. Competitive Benchmarking, By Operating Parameters
  • 13.4. Key Strategic Developments (Mergers, Acquisitions, Partnerships)

14. Impact of Escalating Geopolitical Tensions on Global AI in Drones Market

15. Company Profiles (Company Overview, Financial Matrix, Competitive Landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, SWOT Analysis)

  • 15.1. Skycatch, Inc.
  • 15.2. DRONE VOLT
  • 15.3. Ambarella, Inc.
  • 15.4. Aidronesoftware
  • 15.5. FlytBase
  • 15.6. Qualcomm Incorporated
  • 15.7. Auterion
  • 15.8. Intel Corporation
  • 15.9. Scale
  • 15.10. Skydio, Inc.
  • 15.11. CEVA, Inc.
  • 15.12. Folio3 AI
  • 15.13. International Business Machines Corporation (IBM)
  • 15.14. NVIDIA Corporation
  • 15.15. Folio3 Software Inc.
  • 15.16. SZ DJI Technology Co., Ltd
  • 15.17. DroneSense
  • 15.18. Other Prominent Players

16. Key Strategic Recommendations

17. Research Methodology

  • 17.1. Qualitative Research
    • 17.1.1. Primary & Secondary Research
  • 17.2. Quantitative Research
  • 17.3. Market Breakdown & Data Triangulation
    • 17.3.1. Secondary Research
    • 17.3.2. Primary Research
  • 17.4. Breakdown of Primary Research Respondents, By Region
  • 17.5. Assumptions & Limitations

*Financial information of non-listed companies can be provided as per availability.

**The segmentation and the companies are subject to modifications based on in-depth secondary research for the final deliverable