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市場調査レポート
商品コード
1688891
ニューロモルフィックコンピューティングの世界市場:オファリング別、展開別、用途別、業界別、地域別 - 2030年までの予測Neuromorphic Computing Market by Offering (Processor, Sensor, Memory, Software), Deployment (Edge, Cloud), Application (Image & Video Processing, Natural Language Processing (NLP), Sensor Fusion, Reinforcement Learning) - Global Forecast to 2030 |
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カスタマイズ可能
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ニューロモルフィックコンピューティングの世界市場:オファリング別、展開別、用途別、業界別、地域別 - 2030年までの予測 |
出版日: 2025年03月01日
発行: MarketsandMarkets
ページ情報: 英文 259 Pages
納期: 即納可能
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ニューロモルフィックコンピューティングの市場規模は、2024年に2,850万米ドルとなりました。
同市場は、2024年から2030年にかけて89.7%のCAGRで拡大し、2030年には13億2,520万米ドルに達すると予測されています。エッジコンピューティングにおけるリアルタイムのデータ処理と意思決定機能に対する需要が、ニューロモルフィックコンピューティングの採用を後押ししています。産業オートメーション、自律走行、瞬時の意思決定が可能なモニタリングに関連する用途のために、リアルタイムの膨大なデータを処理する要求が高まっていることが、ニューロモルフィックコンピューティングの需要をますます高めています。さらに半導体業界は、ICのトランジスタ数を倍増し続けるという課題に直面しています。ICの小型化は、電流漏れ、過熱、その他の量子力学的効果などの問題に直面しており、計算能力を強化するニューロモルフィック技術のような代替アプローチが急務となっています。
調査範囲 | |
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調査対象年 | 2020年~2029年 |
基準年 | 2023年 |
予測期間 | 2024年~2029年 |
検討単位 | 金額(10億米ドル) |
セグメント別 | オファリング別、展開別、用途別、業界別、地域別 |
対象地域 | 北米、欧州、アジア太平洋、その他の地域 |
ソフトウェア分野では、静的データではなくライブデータストリーミングが可能であり、ディープラーニングにとって魅力的な市場となっているため、ニューロモルフィックコンピューティング市場で最も高いCAGRを維持すると予測されています。ニューロモルフィックコンピューティングはデータを比較・分析し、新しいパターンが既存のパターンと一致すれば同様の結果を生成します。同様に、バイオメトリック・パターン認識においても、ニューロモルフィックコンピューティングを使用することで、高速、高精度、低消費電力でパターンのリアルタイム計算が可能になるという利点があります。エッジデバイスやロットセンサーに対する需要の高まりは、コンピューティングシステムにおけるエネルギー効率の重要性を強調しています。このような用途には多数のセンサーやデバイスが使用されることが多く、限られた電力資源とバッテリ寿命の延長の必要性から、最小限のエネルギー消費で効率的に動作する必要があります。IoT Analyticsの分析によると、様々なセクターで相互接続デバイスへの依存度が高まっているため、IoT接続数は2027年までに290億を超える可能性があります。これらの用途には多数のセンサーやデバイスが含まれ、電力リソースが限られているため、最小限のエネルギー消費で効率的に動作する必要があります。ニューロモルフィックコンピューティングは、従来のフォン・ノイマン・アーキテクチャの限界であった処理とメモリ間のエネルギー集約的なデータ移動を最小化するため、これらの要件を満たすことができ、ニューロモルフィック・ソフトウェアの需要増加につながります。
予測期間中、エッジセグメントが最も高いシェアを占めると予想されます。エッジでのニューロモルフィックコンピューティングは、様々な用途で利用できます。例えば、インターネットに接続するIoTデバイスは、クラウド上ではなくデバイス自体でコードを実行することで、より効率的なユーザーインタラクションを実現できます。同様に、サーバーからの指示を待たずにリアルタイムで反応する必要がある自律走行車も、エッジでのニューロモルフィックコンピューティングの恩恵を受けることができます。クラウドサーバーからの指示を待たずにリアルタイムで反応する必要がある医療用モニタリング機器も、エッジでのニューロモルフィックコンピューティングの迅速な応答時間の恩恵を受けると思われます。したがって、IoT、自律走行車、医療機器などの業界全体で、リアルタイム処理、低レイテンシ応答、エネルギー効率の高いソリューションに対する需要が高まっていることから、予測期間中、エッジセグメントがニューロモルフィックコンピューティング市場を独占する原動力になるとみられています。
当レポートでは、世界のニューロモルフィックコンピューティング市場について調査し、オファリング別、展開別、用途別、業界別、地域別動向、および市場に参入する企業のプロファイルなどをまとめています。
The neuromorphic computing market is expected to be worth USD 28.5 million in 2024 and is estimated to reach USD 1,325.2 million by 2030, growing at a CAGR of 89.7% between 2024 and 2030. The demand for real-time data processing and decision-making capabilities in edge computing drives the adoption of neuromorphic computing. The increasing requirements to process real-time massive data for applications related to industrial automation, autonomous driving, and monitoring with a capability to make instantaneous decisions are making neuromorphic computing increasingly in demand. Moreover, the semiconductor industry is facing challenges in continuing to double the transistor count on ICs. The miniaturization of ICs faces issues such as current leakage, overheating, and other quantum mechanical effects, driving the urgent need for alternative approaches like neuromorphic technology to enhance computational power.
Scope of the Report | |
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Years Considered for the Study | 2020-2029 |
Base Year | 2023 |
Forecast Period | 2024-2029 |
Units Considered | Value (USD Billion) |
Segments | By Offering, Deployment, Application, Sensor Fusion and Region. |
Regions covered | North America, Europe, APAC, RoW |
Software segment to exhibit highest CAGR of neuromorphic computing market during forecast period
Software segment is anticipated to hold the highest CAGR in the Neuromorphic computing market, as software allows live data streaming rather than static data, which makes them an attractive market for deep learning. Neuromorphic computing compares and analyses data and generates similar results if the new pattern matches the existing patterns. Similarly, for biometric pattern recognition, using neuromorphic computing has an advantage, as it gives real-time computation of patterns with high speed, accuracy, and low power consumption. The growing demand for edge devices and lot sensors underscores the importance of energy efficiency in computing systems. These applications often involve large numbers of sensors and devices that must operate efficiently with minimal energy consumption, due to their limited power resources and the need for prolonged battery life. According to analysis by IoT Analytics, the number of IoT connections could exceed 29 billion, by 2027, due to growing dependence of various sectors on interconnected devices. These applications involves large number of sensors and devices which needs to operate efficiently along with minimal energy consumption, as they have limited power resources. These requirements are met by neuromorphic computing as it minimizes the energy-intensive data movement between the processing and memory, which was a limitation in traditional von neuman architectures, leading to rise in demand for neuromorphic software.
"Edge segment in deployment is expected to have the highest share during the forecast period."
Edge segment is expected to hold highest share during the forecast period. Neuromorphic computing on edge can be used in various applications. For instance, IoT devices that connect to the Internet can benefit from running code on the device itself rather than on the cloud for more efficient user interactions. Similarly, autonomous vehicles that need to react in real time, without waiting for instructions from a server, can benefit from neuromorphic computing on edge. Medical monitoring devices that must respond in real time without waiting to hear from a cloud server would also benefit from the rapid response time of neuromorphic computing at the edge. Therefore, the increasing demand for real-time processing, low-latency responses, and energy-efficient solutions across industries like IoT, autonomous vehicles, and medical devices will drive the edge segment to dominate the neuromorphic computing market during the forecast period.
"Image and video processing/computer vision segment to hold the largest share during the forecast period.
Image and video processing/ computer vision holds major share in the neuromorphic computing malret. The rise of smart cities is propelling deployment of surveillance systems, thus increasing the need for real-time image analysis. According to the World Economic Forum, 1.3 million people are moving to cities every week around the globe, and by 2040, 65% of the world's population will live in cities. Today, 60% of the world's GDP comes from the 600 largest cities and these figures can be expected to expand as these cities grow and thrive. It is projected that up to 80% of further growth in developing regions will take place in urban centers. This rapid urbanization is going to lead to a force of requirement in neuromorphic computing concerning image and video processing because cities have no choice but to demand their sophisticated application for dealing with large amounts of visual data in the implementation of applications such as surveillance, traffic management, and infrastructure monitoring for safety and efficiency into crowded and complex environments.
"Market for Consumer electronics segment is projected to hold for largest share during the forecast timeline."
Consumer electronics will witness a higher share during the forecast period because of its high demand for smart, efficient, and high-performance devices. The Neuromorphic computing sector has immense advantage due to ultra-low power consumption and exceptional processing capabilities, critical to powering the next generation of consumer electronics. One such feature that is still being incorporated with consumer electronics is AI-driven features. The most effective of these are an image and a speech recognition tool. These chips enable devices to process complex tasks locally, reducing reliance on cloud computing and enhancing user privacy and real-time performance. For example, services such as Alexa and Siri that currently rely heavily on cloud computing will directly benefit from deployment of neuromorphic chips. That would make the latency low and make these AI assistants much more efficient.
"North America is expected to hold for largest share during the forecast timeline."
North America will occupy the largest share during the forecast period due to the presence of prominent technology providers, such as IBM (US) and Intel Corporation (US), Qualcomm
Technologies, Inc. (US), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), contributes to the market's growth in this region. These firms are researching and developing neuromorphic chips and AI solutions, leading the region into the innovation front in technology. Increased government spending over the years to address concerns over the security of critical infrastructures and sensitive data has resulted in the adoption of neuromorphic chipsets in security applications. High consumerization of personal care products, routine checkup medical tools, and wearable devices is boosting the adoption of neuromorphic computing devices in North America, thereby driving the growth of this market.
The report profiles key players in the neuromorphic computing market with their respective market ranking analysis. Prominent players profiled in this report are Intel Corporation (US), IBM (US), Qualcomm Technologies, Inc. (US), Samsung Electronics Co., Ltd. (South Korea), Sony Corporation (Japan), BrainChip, Inc. (Australia), SynSense (China), MediaTek Inc. (Taiwan), NXP Semiconductors (Netherlands), Advanced Micro Devices, Inc. (US), Hewlett Packard Enterprise Development LP (US), OMNIVISION (US), among others.
Apart from this, Innatera Nanosystems BV (Netherlands), General Vision Inc. (US), Applied Brain Research, Inc. (Canada), Numenta (US), Aspinity (US), Natural Intelligence (US), GrAI Matter Labs (France), Prophesee.ai (France), Microchip Technology Inc. (US), MemComputing, Inc. (US), Cognixion (US), Neuropixels (Belgium), SpiNNcloud Systems (Germany), POLYN Technology (Israel), are among a few emerging companies in the neuromorphic computing market.
Research Coverage: This research report categorizes the neuromorphic computing market based on offering, deployment, application, vertical, and region. The report describes the major drivers, restraints, challenges, and opportunities pertaining to the neuromorphic computing market and forecasts the same till 2030. Apart from these, the report also consists of leadership mapping and analysis of all the companies included in the neuromorphic computing ecosystem.
Key Benefits of Buying the Report The report will help the market leaders/new entrants in this market with information on the closest approximations of the revenue numbers for the overall neuromorphic computing market and the subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. The report also helps stakeholders understand the pulse of the market and provides them with information on key market drivers, restraints, challenges, and opportunities.