感情検知・認識の世界市場：技術別 (特徴抽出／3Dモデリング、NLP、ML)、ソフトウェアツール別 (顔面表情認識、音声認識)・活用領域別・エンドユーザー別・地域別の将来予測 (2024年まで)
Emotion Detection and Recognition Market by Technology (Feature Extraction & 3D Modeling, NLP, ML), Software Tool (Facial Expression Recognition, Speech & Voice Recognition), Application Area, End User, and Region - Global Forecast to 2024
|感情検知・認識の世界市場：技術別 (特徴抽出／3Dモデリング、NLP、ML)、ソフトウェアツール別 (顔面表情認識、音声認識)・活用領域別・エンドユーザー別・地域別の将来予測 (2024年まで)|
ページ情報: 英文 178 Pages
世界の感情検出・認識市場は、2019年には216億米ドル、2024年には560億米ドルと、21.0%のCAGRで成長する見通しです。市場成長の主な要因として、社会的知能のある人工エージェントのニーズ拡大や、多要素認証向け音声ベース生体認証システムの需要増大、世界各地での技術進歩、運用効率の高いシステムのニーズなどが挙げられます。他方、生産コストの高さや、新しい感情検出システムと既存認識技術の統合といった問題が、市場の成長を抑制すると予想されます。ソフトウェアツール別では、バイオセンサー用ツール／アプリ (心電図 (ECG)、脳波 (EEG)、筋電図 (EMG)、アイトラッカー、ウェアラブルセンサーなど) が最大のシェアを占めており、またエンドユーザー別では産業施設向け需要が急速に拡大する見込みです。地域別では、アジア太平洋地域での急速な市場成長が期待されています。
"Rising need for socially intelligent artificial agents that offer assistance to human-computer interaction and growing presence of artificial agents in social environments to drive the overall growth of the emotion detection and recognition market."
The global emotion detection and recognition market size is projected to grow from USD 21.6 billion in 2019 to USD 56.0 billion by 2024, at a Compound Annual Growth Rate (CAGR) of 21.0% during the forecast period. Rising need for socially intelligent artificial agents, increasing demand for speech-based biometric systems to enable multifactor authentication, technological advancements across the globe, and the growing need for high operational excellence are expected to enhance the use of emotion detection and recognition solutions across the globe. However, high production costs and integration of new emotion detection and recognition technologies with existing legacy systems are expected to restrain the market growth.
Biosensing software tools and apps collect human gestures through sensors, such as Electrocardiography (ECG), Electroencephalography (EEG), Electromyography (EMG), eye tracking sensors, and wearables. These software tools convert the collected inputs into mathematical form and interpret them for various applications, which is used in online learning systems, law enforcement sectors (applications, such as lie-detection and other threat detection), and healthcare. The use of biosensing software tools and apps to analyze growing inputs from the increasing adoption of biosensors, such as wearables, can act as a game changer for this particular market.
The industrial end user includes big manufacturing giants and heavy industrial equipment manufacturers, such as automobile, chemical industry, real estate, renting and leasing, textile industry, brewing industry, and the energy industry, which consists of the electricity industry, natural gas industry, and the petroleum industry. These end users deploy emotion detection and recognition software to minimize or restrict fraudulent activities. Emotion detection and recognition software can also be integrated with devices and applications of other automotive industries to have an emotional connect with the users and track the data with emotion sensors to gain a deeper understanding and improve customer experiences.
Asia Pacific (APAC) has witnessed an advanced and dynamic adoption of new technologies and is expected to record the highest CAGR in the global emotion detection and recognition market during the forecast period. APAC constitutes major economies, such as China, Japan, and Australia, which are expected to register high growth rates in the emotion detection and recognition market.
End users, such as industrial, commercial, and enterprises are expected to adopt emotion detection and recognition solutions at the highest rate in the region. Companies operating in APAC would benefit from the flexible economic conditions, industrialization-motivated policies of the governments, as well as from the growing digitalization, which is expected to have a significant impact on the business community.
Major vendors offering emotion detection and recognition solutions include: Apple (US), Google (US), Microsoft (US), IBM (US), Affectiva (US), Beyond Verbal (Israel), Noldus Information Technology (Netherlands), Tobii (Sweden), NEC Corporation (Japan), Sentiance (Belgium), nViso (Switzerland), Eyesight Technologies (Israel), Ayonix (Japan), Cognitec Systems (Germany), SightCorp (Netherlands), CrowdEmotion (UK), Kairos (US), Eyeris (US), and SkyBiometry (Lithuania), and iMotions (Denmark). The emotion detection and recognition market study includes an in-depth competitive analysis of these key market players, along with their profiles, recent developments, and key market strategies.
The market study covers the emotion detection and recognition market size across segments. It aims at estimating the market size and the growth potential of this market across different segments by technology, software tool, application area, end user, and region. The study also includes an in-depth competitive analysis of the key market players, along with their company profiles, key observations related to product and business offerings, recent developments, and key market strategies.
The report will help the market leaders/new entrants with information on the closest approximations of the revenue numbers for the overall emotion detection and recognition market and its subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to better position their businesses and to plan suitable go-to-market strategies. The report will also help stakeholders understand the pulse of the market and provide them with information on key market drivers, restraints, challenges, and opportunities.
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