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全球无人机人工智慧市场（按部署方式、组件、最终用途产业和地区）：趋势分析、竞争格局和预测（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个工作天内

价格
简介目录

2031年全球无人机AI市场规模将扩大4.9倍，超过32亿美元

由于政府对无人机技术的支援不断增加、无人机在国防和安全应用中的应用日益广泛以及各行业之间的整合日益加强，全球无人机人工智慧市场正在蓬勃发展。

在最近的一项研究中，领先的策略咨询和市场研究公司 BlueWeave Consulting 估计，到 2024 年全球无人机人工智慧市场的价值将达到 6.569 亿美元。 BlueWeave 预测，从 2025 年到 2031 年，全球无人机人工智慧市场将以 25.5% 的复合年增长率强劲成长，到 2031 年将达到 32.2112 亿美元。全部区域无人机人工智慧市场的成长是由人工智慧日益融合所驱动的，以增强无人机操作的自主导航、即时资料处理和决策效率。由于对智慧、经济高效的解决方案的需求不断增长，人工智慧无人机在农业、物流和国防等不同领域的应用日益广泛。大疆的 Agras 系列提高了作物产量，配备人工智慧的无人机透过精准施肥提高了日本农民的收益，这些成功的应用凸显了人工智慧无人机的实际效益。政府支持和新兴市场倡议进一步推动了市场发展，例如美国联邦航空管理局 (FAA) 已在美国为 40 多万名商业无人机飞行员颁发了执照。中国和日本等国家正大力投资人工智慧和无人机技术，透过研发和技能发展计画促进创新。这些进步不仅提高了业务效率，也产生了可观的经济回报。随着监管环境的成熟，人工智慧无人机将彻底改变农业、监控和配送服务领域的传统做法，实现更快、更准确和更自动化的营运。投资于人工智慧整合无人机解决方案的公司可以透过提高生产力、降低人事费用和满足特定产业需求来获得显着的竞争优势，巩固人工智慧在未来无人机技术中的关键作用。

地缘政治紧张局势加剧对全球无人机人工智慧市场的影响

不断升级的地缘政治紧张局势可能会扰乱全球无人机人工智慧市场的成长。不断加剧的边界纠纷、国防现代化建设以及日益增长的国家安全担忧，正促使各国政府加快对用于监视、侦察和战术行动的人工智慧无人机技术的投资，从而推动对自主智慧无人机系统的需求。然而，这种地缘政治不稳定因素造成的复杂性可能会扰乱全球供应链，减缓跨境技术转移，并引发对无人机出口的监管限制。虽然这些紧张局势在短期内刺激了国防应用的需求，但也对国际合作以及更广泛的商用无人机市场的发展构成了长期挑战。

北美主导全球无人机人工智慧市场

北美目前在全球无人机人工智慧市场占据主要份额。这项发展得益于机器学习、电脑视觉和自然语言处理等领域的持续技术进步，使无人机能够执行日益复杂和自主的功能，从而推动了面向未来、适用于各种应用的解决方案的开发。此外，该地区对工业自动化日益增长的需求正在加速人工智慧无人机的普及，从而提高业务效率、降低成本并最大限度地降低安全风险。这一趋势显着增加了无人机在数据收集、精细检查和高效配送等关键任务中的使用。

竞争格局

全球无人机人工智慧市场的主要企业包括 Skycatch, Inc.、DRONE VOLT、Ambarella, Inc.、Airdronesoftware、FlytBase、Qualcomm Incorporated、Auterion、Intel Corporation、Scale、Skydio, Inc.、CEVA, Inc.、Folio3 AI、International Software DroneSense。公司数量的增加导致市场占有率。这些公司正在采取各种策略，包括併购、伙伴关係、合资、授权合约和新产品发布，以进一步增加其市场占有率。

本报告透过深入分析，提供了全球无人机人工智慧市场的成长潜力、未来趋势和统计数据。报告也重点分析了影响市场总体规模预测的因素。本报告提供了全球无人机人工智慧市场的最新技术趋势和业界考察，确保决策者能够做出合理的策略决策。报告还分析了市场的成长动力、挑战和竞争格局。

目录

第一章 分析框架

第二章执行摘要

第三章：全球无人机人工智慧市场考察

  • 最终用户价值链分析
  • DROC分析
    • 成长动力
      • 加强政府支持
      • 国防和安全应用日益增长
      • 各行各业的采用率不断提高
    • 抑制因素
      • 开发和营运成本高
      • 监管和空域挑战
    • 机会
      • 扩大精密农业的应用
      • 物流配送需求快速成长
    • 任务
      • 熟练劳动力短缺
      • 对隐私和安全的担忧日益加剧
  • 科技进步/最新趋势
  • 法规结构
  • 波特五力分析

第四章 全球无人机人工智慧市场：行销策略

第五章：全球无人机人工智慧市场：定价分析

6. 全球无人机人工智慧市场：区域分析

  • 全球无人机人工智慧市场：区域分析（2024 年）
  • 全球无人机人工智慧市场：市场魅力分析（2024-2031）

7. 全球无人机人工智慧市场概况

  • 市场规模及预测（2019-2031）
    • 以金额为准
  • 市场占有率和预测
    • 依部署方式
      • 基于人工智慧的导航
      • 基于人工智慧的成像
      • 云端基础的无人机
      • 人工智慧无人机
    • 按组件
      • 硬体
      • 软体
      • 服务
    • 按最终用途行业
      • 军事/国防
      • 农业
      • 物流/配送
      • 基础设施检查
      • 环境与防灾管理
      • 媒体与娱乐
      • 绘图和测量
    • 按地区
      • 北美洲
      • 欧洲
      • 亚太地区
      • 拉丁美洲
      • 中东和非洲

第 8 章：北美无人机人工智慧市场

  • 市场规模及预测（2019-2031）
    • 以金额为准
  • 市场占有率和预测
    • 依部署方式
    • 按组件
    • 按最终用途行业
    • 按国家
      • 美国
      • 加拿大

第九章：欧洲无人机人工智慧市场

  • 市场规模及预测（2019-2031）
    • 以金额为准
  • 市场占有率和预测
    • 依部署方式
    • 按组件
    • 按最终用途行业
    • 按国家
      • 德国
      • 英国
      • 义大利
      • 法国
      • 西班牙
      • 比利时
      • 俄罗斯
      • 荷兰
      • 其他欧洲国家

第 10 章：亚太地区无人机人工智慧市场

  • 市场规模及预测（2019-2031）
    • 以金额为准
  • 市场占有率和预测
    • 依部署方式
    • 按组件
    • 按最终用途行业
    • 按国家
      • 中国
      • 印度
      • 日本
      • 韩国
      • 澳洲和纽西兰
      • 印尼
      • 马来西亚
      • 新加坡
      • 越南
      • 其他亚太地区

第 11 章：拉丁美洲无人机人工智慧市场

  • 市场规模及预测（2019-2031）
    • 以金额为准
  • 市场占有率和预测
    • 依部署方式
    • 按组件
    • 按最终用途行业
    • 按国家
      • 巴西
      • 墨西哥
      • 阿根廷
      • 秘鲁
      • 其他拉丁美洲

第 12 章：中东和非洲的无人机人工智慧市场

  • 市场规模及预测（2019-2031）
    • 以金额为准
  • 市场占有率和预测
    • 依部署方式
    • 按组件
    • 按最终用途行业
    • 按国家
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 科威特
      • 南非
      • 奈及利亚
      • 阿尔及利亚
      • 其他中东和非洲地区

第十三章竞争格局

  • 主要企业及其产品列表
  • 全球无人机人工智慧公司：市场占有率分析（2024年）
  • 依业务参数进行竞争基准测试
  • 主要策略现状（企业合併（M&A）、商业联盟）

第十四章地缘政治紧张局势加剧对全球无人机人工智慧市场的影响

第15章公司简介（公司概况、财务矩阵、竞争格局、公司负责人、主要竞争对手、联络资讯、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
  • 其他主要企业

第十六章：关键策略建议

第17章 分析技术

简介目录
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