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市场调查报告书
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2021587

人工智慧专利格局市场预测至2034年—按组件、部署模式、企业规模、技术、应用、最终用户和地区分類的全球分析

AI Patent Landscape Market Forecasts to 2034- Global Analysis By Component (Software / Platforms, Hardware and Services), Deployment Mode, Enterprise Size, 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个工作天内

价格

根据 Stratistics MRC 的数据，预计到 2026 年，全球人工智慧专利市场规模将达到 3,095.3 亿美元，在预测期内以 29.8% 的复合年增长率增长，到 2034 年将达到 2.49405 兆美元。

人工智慧专利格局是指对人工智慧技术相关专利进行系统性分析，全面概述人工智慧领域的创新趋势、技术进步和智慧财产权分布。透过检视专利申请、权利人、管辖区和引用网络，它可以识别新兴的人工智慧领域、竞争对手的定位以及潜在的合作和授权机会。透过梳理机器学习、自然语言处理、电脑视觉和机器人等领域的创新，人工智慧专利格局研究能够帮助企业、研究人员和政策制定者做出明智的策略决策、预测市场变化，并有效地保护或利用智慧财产权。

人工智慧技术的快速发展

人工智慧专利格局的显着变化主要受人工智慧技术快速发展的影响。机器学习、自然语言处理、电脑视觉和机器人技术的持续创新，导致全球专利申请数量激增。各组织机构都在努力取得智慧财产权，以保持竞争优势、促进合作并推动商业化。这种技术发展的加速不仅拓展了人工智慧在各产业的应用范围，也活性化了研究活动和创新策略投资。

申请和维持专利的高昂成本

儘管人工智慧专利领域存在成长机会，但由于专利申请和维护成本高昂，该领域也面临严峻挑战。获得专利需要大量的资金投入、复杂的法律程序以及持续的管理费用，这可能构成准入壁垒，尤其对于Start-Ups和中小企业而言。这些成本会阻碍广泛的专利保护、延迟市场准入，并妨碍策略性智慧财产权管理。因此，企业必须谨慎规划专利申请的优先级，并寻求经济高效的方式来保护人工智慧技术的创新成果。

增加研发投资

加大研发投入为人工智慧专利领域带来了巨大机会。随着企业更加重视创新，取得专利以保护新兴人工智慧技术变得日益重要。研发资金的增加支持了对先进电脑视觉、预测分析和自主系统等新兴领域的探索，从而推动了创新进程。透过利用专利分析和策略性智慧财产权管理，企业可以识别新兴技术，促进合作，并利用智慧财产权获得全球竞争优势。

复杂的监理情势

人工智慧专利趋势日益受到复杂的法规环境影响。不同司法管辖区的专利法、申请程序和智慧财产权执法实务各不相同，这给寻求专利保护的企业带来了不确定性。监管壁垒、冗长的核准流程和合规要求可能会延缓创新成果的商业化进程，并限制其进入全球市场。企业必须应对这些挑战，降低潜在风险，并透过谨慎平衡创新和法律策略，确保合规性并策略性地保护人工智慧技术，从而保持市场竞争力。

新冠疫情的影响：

新冠疫情对市场产生了微妙的影响。儘管全球封锁和营运限制暂时中断了一些研发和专利申请活动，但这场危机加速了医疗保健、物流和自动化领域的数位转型和人工智慧应用。各组织越来越多地利用人工智慧来优化远距办公、预测分析和非接触式解决方案，从而活性化了关键领域的专利申请活动。整体而言，疫情凸显了人工智慧创新的战略价值，并再次强调了健全的智慧财产权管理的重要性。

在预测期内，电脑视觉领域预计将占据最大的市场份额。

在预测期内，电脑视觉领域预计将占据最大的市场份额。这主要归功于人工智慧驱动的影像处理、脸部辨识、自动驾驶汽车、医疗诊断和监控系统等领域的蓬勃发展。除了在各行业中不断扩展的应用范围外，影像处理演算法和深度学习模型的快​​速技术进步也推动了该领域的专利申请量。因此，企业和研究人员都将电脑视觉领域的创新放在首位，使其成为人工智慧专利领域最引人注目的领域。

在预测期内，专利分析领域预计将呈现最高的复合年增长率。

在预测期内，专利分析领域预计将呈现最高的成长率。这主要源自于企业日益增长的需求，即识别新兴人工智慧技术、监控竞争对手动态并制定明智的策略决策。利用人工智慧和巨量资料的先进分析工具能够有效洞察专利组合、引用网路和创新趋势。随着企业加大研发和智慧财产权管理的投入，专利分析领域对于发挥竞争优势、指导合作与授权策略至关重要。

市占率最大的地区：

在预测期内，亚太地区预计将占据最大的市场份额。中国、日本和韩国的快速数位转型、政府对人工智慧创新的支持以及不断增长的专利申请量，都促成了这一主导地位。人工智慧在医疗、汽车、製造和家用电子电器等领域的强劲应用成长，以及大量的研发投入，使亚太地区成为人工智慧智慧财产权开发和战略技术进步的关键中心。

复合年增长率最高的地区：

在预测期内，亚太地区预计将呈现最高的复合年增长率。这一成长主要得益于人工智慧研究投资的加速成长、有利的监管政策以及整体人工智慧技术专利申请的激增。该地区各国正致力于加强创新生态系统建设，促进产学合作，并利用人工智慧提升经济竞争力。这些因素共同提升了亚太地区在全球专利主导人工智慧创新领域引领潮流的潜力。

免费客製化服务：

所有购买此报告的客户均可享受以下免费自订选项之一：

  • 企业概况
    • 对其他市场参与者（最多 3 家公司）进行全面分析
    • 对主要企业进行SWOT分析（最多3家公司）
  • 区域细分
    • 应客户要求，我们提供主要国家和地区的市场估算和预测，以及复合年增长率（註：需进行可行性检查）。
  • 竞争性标竿分析
    • 根据产品系列、地理覆盖范围和策略联盟对主要企业进行基准分析。

目录

第一章执行摘要

  • 市场概览及主要亮点
  • 驱动因素、挑战与机会
  • 竞争格局概述
  • 战略洞察与建议

第二章：研究框架

  • 研究目标和范围
  • 相关人员分析
  • 研究假设和限制
  • 调查方法

第三章 市场动态与趋势分析

  • 市场定义与结构
  • 主要市场驱动因素
  • 市场限制与挑战
  • 投资成长机会和重点领域
  • 产业威胁与风险评估
  • 技术与创新展望
  • 新兴市场/高成长市场
  • 监管和政策环境
  • 新冠疫情的影响及復苏前景

第四章：竞争环境与策略评估

  • 波特五力分析
    • 供应商的议价能力
    • 买方的议价能力
    • 替代品的威胁
    • 新进入者的威胁
    • 竞争公司之间的竞争
  • 主要企业市占率分析
  • 产品基准评效和效能比较

第五章：全球人工智慧专利市场格局：按组件划分

  • 软体/平台
  • 硬体
  • 服务

第六章：全球人工智慧专利市场格局：依部署模式划分

  • 基于云端的
  • 现场

第七章：全球人工智慧专利市场格局：依公司规模划分

  • 大公司
  • 中小企业

第八章：全球人工智慧专利市场格局：依技术划分

  • 机器学习
  • 自然语言处理
  • 电脑视觉
  • 机器人与自动化
  • 深度学习

第九章 全球人工智慧专利市场格局：按应用领域划分

  • 专利分析
  • 领先技术检索及专利性
  • 竞争资讯
  • 技术调查
  • 投资组合管理
  • 法律法规及合规性

第十章：全球人工智慧专利市场格局：以最终用户划分

  • 公司/大型公司
  • 律师事务所和智慧财产权咨询公司
  • 研究机构和学术机构
  • 政府和监管机构

第十一章 全球人工智慧专利市场格局：按地区划分

  • 北美洲
    • 我们
    • 加拿大
    • 墨西哥
  • 欧洲
    • 英国
    • 德国
    • 法国
    • 义大利
    • 西班牙
    • 荷兰
    • 比利时
    • 瑞典
    • 瑞士
    • 波兰
    • 其他欧洲国家
  • 亚太地区
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 泰国
    • 马来西亚
    • 新加坡
    • 越南
    • 其他亚太国家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥伦比亚
    • 智利
    • 秘鲁
    • 其他南美国家
  • 世界其他地区（RoW）
    • 中东
      • 沙乌地阿拉伯
      • 阿拉伯聯合大公国
      • 卡达
      • 以色列
      • 其他中东国家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲国家

第十二章 策略市场资讯

  • 工业价值网络和供应链评估
  • 空白区域和机会地图
  • 产品演进与市场生命週期分析
  • 通路、经销商和打入市场策略的评估

第十三章 产业趋势与策略倡议

  • 併购
  • 伙伴关係、联盟和合资企业
  • 新产品发布和认证
  • 扩大生产能力和投资
  • 其他策略倡议

第十四章：公司简介

  • Alphabet Inc.（Google）
  • Microsoft Corporation
  • International Business Machines Corporation（IBM）
  • Samsung Electronics Co., Ltd.
  • Huawei Technologies Co., Ltd.
  • Tencent Holdings Ltd.
  • Baidu, Inc.
  • Qualcomm Incorporated
  • NVIDIA Corporation
  • Intel Corporation
  • Alibaba Group Holding Limited
  • Ping An Insurance（Group）Company of China, Ltd.
  • Sony Group Corporation
  • Siemens AG
  • Robert Bosch GmbH
Product Code: SMRC34927

According to Stratistics MRC, the Global AI Patent Landscape Market is accounted for $309.53 billion in 2026 and is expected to reach $2494.05 billion by 2034 growing at a CAGR of 29.8% during the forecast period. The AI Patent Landscape refers to a structured analysis of patents related to artificial intelligence technologies, providing a comprehensive overview of innovation trends, technological advancements, and intellectual property distribution within the AI sector. It examines patent filings, assignees, jurisdictions, and citation networks to identify emerging AI domains, competitive positioning, and potential collaboration or licensing opportunities. By mapping innovations across machine learning, natural language processing, computer vision, and robotics, AI patent landscape studies enable businesses, researchers, and policymakers to make informed strategic decisions, anticipate market shifts, and protect or leverage intellectual assets effectively.

Market Dynamics:

Driver:

Rapid Technological Advancements in AI

The AI patent landscape is being significantly propelled by rapid technological advancements in artificial intelligence. Continuous innovations in machine learning, natural language processing, computer vision, and robotics are generating a surge in patent filings globally. Organizations are striving to secure intellectual property to maintain competitive advantage, foster collaboration, and drive commercialization. This acceleration in technological development not only expands the scope of AI applications across industries but also intensifies research efforts and strategic investments in innovation.

Restraint:

High Cost of Patent Filing and Maintenance

Despite the growth opportunities, the AI patent landscape faces notable challenges due to the high cost of patent filing and maintenance. Securing patents involves substantial financial investment, legal complexities, and ongoing administrative expenses, which can limit participation, particularly for startups and smaller enterprises. These costs may discourage widespread patent protection, slow market entry, and hinder strategic IP management. Consequently, organizations must carefully prioritize filings and explore cost-effective approaches to safeguard innovations in AI technologies.

Opportunity:

Increasing R&D Investments

Rising investments in research and development present a significant opportunity in the AI patent landscape. As organizations expand their focus on innovation, there is a growing emphasis on securing patents to protect novel AI technologies. Enhanced R&D funding supports exploration of emerging areas, such as advanced computer vision, predictive analytics, and autonomous systems, driving innovation pipelines. By leveraging patent analytics and strategic IP management, businesses can identify emerging technologies, foster collaboration, and capitalize on intellectual property to gain competitive advantage globally.

Threat:

Complex Regulatory Landscape

The AI patent landscape is increasingly influenced by a complex regulatory environment. Variations in patent laws, filing procedures, and intellectual property enforcement across jurisdictions create uncertainty for organizations seeking protection. Regulatory hurdles, lengthy approval processes, and compliance requirements can slow innovation commercialization and limit access to global markets. Companies must navigate these challenges carefully, balancing innovation with legal strategy, while ensuring compliance and strategic protection of their AI technologies to mitigate potential risks and maintain market competitiveness.

Covid-19 Impact:

The Covid-19 pandemic had a nuanced impact on the market. While certain R&D and patent filing activities faced temporary disruptions due to global lockdowns and operational constraints, the crisis accelerated digital transformation and AI adoption across healthcare, logistics, and automation. Organizations increasingly leveraged AI to optimize remote operations, predictive analytics, and contactless solutions, leading to renewed patent activity in critical sectors. Overall, the pandemic highlighted the strategic value of AI innovations, reinforcing the importance of robust intellectual property management.

The computer vision segment is expected to be the largest during the forecast period

The computer vision segment is expected to account for the largest market share during the forecast period, due to widespread adoption of AI-powered imaging, facial recognition, autonomous vehicles, medical diagnostics, and surveillance systems. Increasing applications across diverse industries, combined with rapid technological advancements in image processing algorithms and deep learning models, are fueling patent filings in this domain. Consequently, businesses and researchers are prioritizing innovation in computer vision, making it the most prominent area within the AI patent landscape.

The patent analytics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the patent analytics segment is predicted to witness the highest growth rate, due to growing need for organizations to identify emerging AI technologies, monitor competitor activity, and make informed strategic decisions is driving demand. Advanced analytics tools leveraging AI and big data enable effective mapping of patent portfolios, citation networks, and innovation trends. As companies increase investment in R&D and IP management, the patent analytics segment becomes crucial for unlocking competitive advantages and guiding collaboration or licensing strategies.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share, due to Rapid digital transformation, government support for AI innovation, and increasing patent filings in China, Japan, and South Korea contribute to this dominance. Strong growth in AI applications across healthcare, automotive, manufacturing, and consumer electronics, coupled with robust R&D investments, positions Asia Pacific as a key hub for AI intellectual property development and strategic technology advancement.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, owing to accelerating investments in AI research, favorable regulatory policies, and a surge in patent filings across emerging AI technologies drive this growth. Countries in the region are focusing on strengthening innovation ecosystems, fostering collaborations between academia and industry, and leveraging AI for economic competitiveness. These factors collectively enhance Asia Pacific's potential to lead patent-driven AI innovation globally.

Key players in the market

Some of the key players in AI Patent Landscape Market include Alphabet Inc. (Google), Microsoft Corporation, International Business Machines Corporation (IBM), Samsung Electronics Co., Ltd., Huawei Technologies Co., Ltd., Tencent Holdings Ltd., Baidu, Inc., Qualcomm Incorporated, NVIDIA Corporation, Intel Corporation, Alibaba Group Holding Limited, Ping An Insurance (Group) Company of China, Ltd., Sony Group Corporation, Siemens AG and Robert Bosch GmbH.

Key Developments:

In February 2026, Wesfarmers and Microsoft announced a multi-year strategic partnership to accelerate AI-powered innovation, focusing on expanding the adoption of Microsoft's AI, cloud, and data technologies across retail and industrial operations, enhancing customer experience, improving supply chain efficiency, and boosting employee productivity through AI-driven tools.

In February 2026, Microsoft and OpenAI reaffirmed their long-standing partnership, emphasizing that it remains strong and unchanged despite new collaborations and investments. Both companies will continue working closely across research, engineering, and product development, with Microsoft retaining access to OpenAI's intellectual property and Azure remaining central to delivering AI solutions, while maintaining flexibility for independent growth.

Components Covered:

  • Software / Platforms
  • Hardware
  • Services

Deployment Modes Covered:

  • Cloud Based
  • On Premises

Enterprise Sizes Covered:

  • Large Enterprises
  • Small & Medium Enterprises (SMEs)

Technologies Covered:

  • Machine Learning
  • Natural Language Processing
  • Computer Vision
  • Robotics & Automation
  • Deep Learning

Applications Covered:

  • Patent Analytics
  • Prior Art Search & Patentability
  • Competitive Intelligence
  • Technology Scouting
  • Portfolio Management
  • Legal & Compliance

End Users Covered:

  • Corporates / Enterprises
  • Law Firms & IP Consultancies
  • Research Institutes & Academia
  • Government & Regulatory Bodies

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 AI Patent Landscape Market, By Component

  • 5.1 Software / Platforms
  • 5.2 Hardware
  • 5.3 Services

6 Global AI Patent Landscape Market, By Deployment Mode

  • 6.1 Cloud Based
  • 6.2 On Premises

7 Global AI Patent Landscape Market, By Enterprise Size

  • 7.1 Large Enterprises
  • 7.2 Small & Medium Enterprises (SMEs)

8 Global AI Patent Landscape Market, By Technology

  • 8.1 Machine Learning
  • 8.2 Natural Language Processing
  • 8.3 Computer Vision
  • 8.4 Robotics & Automation
  • 8.5 Deep Learning

9 Global AI Patent Landscape Market, By Application

  • 9.1 Patent Analytics
  • 9.2 Prior Art Search & Patentability
  • 9.3 Competitive Intelligence
  • 9.4 Technology Scouting
  • 9.5 Portfolio Management
  • 9.6 Legal & Compliance

10 Global AI Patent Landscape Market, By End User

  • 10.1 Corporates / Enterprises
  • 10.2 Law Firms & IP Consultancies
  • 10.3 Research Institutes & Academia
  • 10.4 Government & Regulatory Bodies

11 Global AI Patent Landscape Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 Alphabet Inc. (Google)
  • 14.2 Microsoft Corporation
  • 14.3 International Business Machines Corporation (IBM)
  • 14.4 Samsung Electronics Co., Ltd.
  • 14.5 Huawei Technologies Co., Ltd.
  • 14.6 Tencent Holdings Ltd.
  • 14.7 Baidu, Inc.
  • 14.8 Qualcomm Incorporated
  • 14.9 NVIDIA Corporation
  • 14.10 Intel Corporation
  • 14.11 Alibaba Group Holding Limited
  • 14.12 Ping An Insurance (Group) Company of China, Ltd.
  • 14.13 Sony Group Corporation
  • 14.14 Siemens AG
  • 14.15 Robert Bosch GmbH

List of Tables

  • Table 1 Global AI Patent Landscape Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Patent Landscape Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI Patent Landscape Market Outlook, By Software / Platforms (2023-2034) ($MN)
  • Table 4 Global AI Patent Landscape Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 5 Global AI Patent Landscape Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global AI Patent Landscape Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 7 Global AI Patent Landscape Market Outlook, By Cloud Based (2023-2034) ($MN)
  • Table 8 Global AI Patent Landscape Market Outlook, By On Premises (2023-2034) ($MN)
  • Table 9 Global AI Patent Landscape Market Outlook, By Enterprise Size (2023-2034) ($MN)
  • Table 10 Global AI Patent Landscape Market Outlook, By Large Enterprises (2023-2034) ($MN)
  • Table 11 Global AI Patent Landscape Market Outlook, By Small & Medium Enterprises (SMEs) (2023-2034) ($MN)
  • Table 12 Global AI Patent Landscape Market Outlook, By Technology (2023-2034) ($MN)
  • Table 13 Global AI Patent Landscape Market Outlook, By Machine Learning (2023-2034) ($MN)
  • Table 14 Global AI Patent Landscape Market Outlook, By Natural Language Processing (2023-2034) ($MN)
  • Table 15 Global AI Patent Landscape Market Outlook, By Computer Vision (2023-2034) ($MN)
  • Table 16 Global AI Patent Landscape Market Outlook, By Robotics & Automation (2023-2034) ($MN)
  • Table 17 Global AI Patent Landscape Market Outlook, By Deep Learning (2023-2034) ($MN)
  • Table 18 Global AI Patent Landscape Market Outlook, By Application (2023-2034) ($MN)
  • Table 19 Global AI Patent Landscape Market Outlook, By Patent Analytics (2023-2034) ($MN)
  • Table 20 Global AI Patent Landscape Market Outlook, By Prior Art Search & Patentability (2023-2034) ($MN)
  • Table 21 Global AI Patent Landscape Market Outlook, By Competitive Intelligence (2023-2034) ($MN)
  • Table 22 Global AI Patent Landscape Market Outlook, By Technology Scouting (2023-2034) ($MN)
  • Table 23 Global AI Patent Landscape Market Outlook, By Portfolio Management (2023-2034) ($MN)
  • Table 24 Global AI Patent Landscape Market Outlook, By Legal & Compliance (2023-2034) ($MN)
  • Table 25 Global AI Patent Landscape Market Outlook, By End User (2023-2034) ($MN)
  • Table 26 Global AI Patent Landscape Market Outlook, By Corporates / Enterprises (2023-2034) ($MN)
  • Table 27 Global AI Patent Landscape Market Outlook, By Law Firms & IP Consultancies (2023-2034) ($MN)
  • Table 28 Global AI Patent Landscape Market Outlook, By Research Institutes & Academia (2023-2034) ($MN)
  • Table 29 Global AI Patent Landscape Market Outlook, By Government & Regulatory Bodies (2023-2034) ($MN)

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