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市場調查報告書
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2021587

人工智慧專利格局市場預測至2034年—按組件、部署模式、企業規模、技術、應用、最終用戶和地區分類的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧專利市場規模將達到 3,095.3 億美元，在預測期內以 29.8% 的複合年成長率成長，到 2034 年將達到 2.49405 兆美元。

人工智慧專利格局是指對人工智慧技術相關專利進行系統性分析，全面概述人工智慧領域的創新趨勢、技術進步和智慧財產權分佈。透過檢視專利申請、權利人、管轄區和引用網路，它可以識別新興的人工智慧領域、競爭對手的定位以及潛在的合作和授權機會。透過梳理機器學習、自然語言處理、電腦視覺和機器人等領域的創新，人工智慧專利格局研究能夠幫助企業、研究人員和政策制定者做出明智的策略決策、預測市場變化，並有效地保護或利用智慧財產權。

人工智慧技術的快速發展

人工智慧專利格局的顯著變化主要受人工智慧技術快速發展的影響。機器學習、自然語言處理、電腦視覺和機器人技術的持續創新，導致全球專利申請數量激增。各組織機構都在努力取得智慧財產權，以保持競爭優勢、促進合作並推動商業化。這種技術發展的加速不僅拓展了人工智慧在各產業的應用範圍，也活性化了研究活動和創新策略投資。

申請和維持專利的高昂成本

儘管人工智慧專利領域存在成長機會，但由於專利申請和維護成本高昂，該領域也面臨嚴峻挑戰。獲得專利需要大量的資金投入、複雜的法律程序以及持續的管理費用，這可能構成准入壁壘，尤其對於Start-Ups和中小企業而言。這些成本會阻礙廣泛的專利保護、延遲市場准入，並妨礙策略性智慧財產權管理。因此，企業必須謹慎規劃專利申請的優先級，並尋求經濟高效的方式來保護人工智慧技術的創新成果。

增加研發投資

加大研發投入為人工智慧專利領域帶來了巨大機會。隨著企業更加重視創新，取得專利以保護新興人工智慧技術變得日益重要。研發資金的增加支持了對先進電腦視覺、預測分析和自主系統等新興領域的探索，從而推動了創新進程。透過利用專利分析和策略性智慧財產權管理，企業可以識別新興技術，促進合作，並利用智慧財產權獲得全球競爭優勢。

複雜的監理情勢

人工智慧專利趨勢日益受到複雜的法規環境影響。不同司法管轄區的專利法、申請程序和智慧財產權執法實務各不相同，這給尋求專利保護的企業帶來了不確定性。監管壁壘、冗長的核准流程和合規要求可能會延緩創新成果的商業化進程，並限制其進入全球市場。企業必須應對這些挑戰，降低潛在風險，並透過謹慎平衡創新和法律策略，確保合規性並策略性地保護人工智慧技術，從而保持市場競爭力。

新冠疫情的影響：

新冠疫情對市場產生了微妙的影響。儘管全球封鎖和營運限制暫時中斷了一些研發和專利申請活動，但這場危機加速了醫療保健、物流和自動化領域的數位轉型和人工智慧應用。各組織擴大利用人工智慧來最佳化遠距辦公、預測分析和非接觸式解決方案，從而活性化了關鍵領域的專利申請活動。整體而言，疫情凸顯了人工智慧創新的戰略價值，並再次強調了健全的智慧財產權管理的重要性。

在預測期內，電腦視覺領域預計將佔據最大的市場佔有率。

在預測期內，電腦視覺領域預計將佔據最大的市場佔有率。這主要歸功於人工智慧驅動的影像處理、臉部辨識、自動駕駛汽車、醫療診斷和監控系統等領域的蓬勃發展。除了在各行業中不斷擴展的應用範圍外，影像處理演算法和深度學習模型的快​​速技術進步也推動了該領域的專利申請量。因此，企業和研究人員都將電腦視覺領域的創新放在首位，使其成為人工智慧專利領域最引人注目的領域。

在預測期內，專利分析領域預計將呈現最高的複合年成長率。

在預測期內，專利分析領域預計將呈現最高的成長率。這主要源自於企業日益成長的需求，即識別新興人工智慧技術、監控競爭對手動態並制定明智的策略決策。利用人工智慧和巨量資料的先進分析工具能夠有效洞察專利組合、引用網路和創新趨勢。隨著企業加大研發和智慧財產權管理的投入，專利分析領域對於發揮競爭優勢、指導合作與授權策略至關重要。

市佔率最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率。中國、日本和韓國的快速數位轉型、政府對人工智慧創新的支持以及不斷成長的專利申請量，都促成了這一主導地位。人工智慧在醫療、汽車、製造和家用電子電器等領域的強勁應用成長，以及大量的研發投入，使亞太地區成為人工智慧智慧財產權開發和戰略技術進步的關鍵中心。

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。這一成長主要得益於人工智慧研究投資的加速成長、有利的監管政策以及整體人工智慧技術專利申請的激增。該地區各國正致力於加強創新生態系統建設，促進產學合作，並利用人工智慧提升經濟競爭力。這些因素共同提升了亞太地區在全球專利主導人工智慧創新領域引領潮流的潛力。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域細分
    • 應客戶要求，我們提供主要國家和地區的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

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
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧專利市場格局：按組件分類

  • 軟體/平台
  • 硬體
  • 服務

第6章：全球人工智慧專利市場格局：依部署模式分類

  • 基於雲端的
  • 現場

第7章：全球人工智慧專利市場格局：依公司規模分類

  • 大公司
  • 中小企業

第8章：全球人工智慧專利市場格局：依技術分類

  • 機器學習
  • 自然語言處理
  • 電腦視覺
  • 機器人與自動化
  • 深度學習

第9章 全球人工智慧專利市場格局：按應用領域分類

  • 專利分析
  • 領先技術檢索及專利性
  • 競爭資訊
  • 技術調查
  • 投資組合管理
  • 法律法規及合規性

第10章：全球人工智慧專利市場格局：以最終用戶分類

  • 公司/大型公司
  • 律師事務所和智慧財產權諮詢公司
  • 研究機構和學術機構
  • 政府和監管機構

第11章 全球人工智慧專利市場格局：按地區分類

  • 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12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13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14章：公司簡介

  • 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.