Press release
Structure of the Artificial Intelligence (AI) Patent Search Market, Key Trends, and Analysis of Top Players
Artificial Intelligence (AI) Patent Search Market
Market Size and Growth Outlook for the Artificial Intelligence Patent Search Market
The AI patent search market is projected to witness significant growth, reaching a value of $4.19 billion by 2030. This expansion corresponds to a compound annual growth rate (CAGR) of 19.0% during the forecast period. Several factors contribute to this robust growth, including the urgent need to reduce the time and cost associated with manual patent searches and the increasing incorporation of natural language processing (NLP) technologies. Additionally, the rising importance of competitive intelligence, wider adoption of machine learning techniques for identifying duplicate or conflicting patents, and the ongoing digitalization of patent databases worldwide further fuel market development. Key future trends also include the rise of generative AI for automated patent drafting and summarization, improvements in semantic search algorithms for deeper patent analysis, and the use of multimodal AI to evaluate text, diagrams, and claims together. Predictive analytics advancements and conversational AI interfaces are also expected to enhance interactive patent querying capabilities.
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Key Factors Propelling Growth in the Artificial Intelligence Patent Search Market
A significant driver of this market is the demand to minimize the manual effort required in patent searching, which often involves sifting through vast amounts of data. By automating these processes, AI solutions considerably reduce both the time and financial resources required.
Furthermore, integrating natural language processing technologies enhances the accuracy and relevance of search results. This allows for a more intuitive understanding of complex patent documents, improving the quality of prior art detection and competitive intelligence insights.
Leading Corporations Shaping the Artificial Intelligence Patent Search Industry
The AI patent search space features several prominent companies actively shaping market dynamics. These include Ambercite Pty Ltd., Gridlogics Technologies Pvt. Ltd., Questel SAS, PatSnap Pte. Ltd., Clarivate plc, Anaqua Inc., IFI CLAIMS Patent Services, GreyB Services India Private Limited, IP.com Inc., IPRally Technologies Oy, WIPS Global Co. Ltd., Cypris Inc., Iplytics GmbH, PatentScan Technologies, PatentSight GmbH, Relecura Inc., XLPAT Labs Private Limited, PatentPal Inc., and Aistemos Ltd.
In a strategic move in July 2024, UK-based Clarivate Plc acquired Rowan Tels, a US-based patent research firm specializing in AI-driven patent search and IP support. This acquisition aims to strengthen Clarivate's AI-enabled patent search offerings by adding Rowan Tels' expertise in analytics and examiner insights, thereby improving efficiency and accuracy in patent research workflows for both patent practitioners and corporate IP teams.
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Innovative Trends Influencing the Artificial Intelligence Patent Search Market
A major trend in this sector is the adoption of advanced AI techniques, including language transformer models. These models enable AI systems to comprehend the context and semantics within natural language patent queries and texts, retrieving inventions based on conceptual relevance rather than simple keyword matching.
For example, in December 2024, Clarivate Plc launched AI Search in Derwent, an AI-powered patent search feature within the Derwent Innovation platform. Utilizing a transformer-based model, this solution analyzes over 160 million patent records in the Derwent World Patents Index (DWPI) database. It helps patent professionals perform thorough patentability searches, verify that crucial prior art has not been missed, and swiftly explore new technology domains by highlighting the most relevant patent families at the top of search results.
Detailed Segmentation of the Artificial Intelligence Patent Search Market
This market can be broken down by component into software or platform and services. Deployment types include cloud-based and on-premises solutions.
Applications of AI patent search tools cover prior art search and patentability analysis, freedom-to-operate (FTO) and clearance searches, invalidity searches, competitive intelligence and landscape analysis, patent portfolio management and benchmarking, as well as other specialized uses.
End-users span a wide range of sectors, including corporates, law firms and IP consultancies, research and academic institutions, along with government and regulatory bodies.
Further subsegment details for software or platform encompass AI-powered patent search engines, patent analytics and visualization platforms, machine learning-based prior art detection tools, natural language processing classification systems, and patent database integration platforms. Service offerings include AI-driven patent research and prior art search services, patent landscape and competitive intelligence services, patent portfolio analysis and optimization, AI model training and customization, implementation and integration support, as well as technical maintenance and consulting.
In summary, the artificial intelligence patent search market is poised for rapid advancement, driven by a blend of cutting-edge technology adoption and growing demand for efficiency in patent research. With major players investing in AI capabilities and evolving user needs, this industry is set to transform how intellectual property professionals approach patent data analysis and decision-making.
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