市場調査レポート
商品コード
1134864
感情分析の世界市場:成長、将来展望、競合分析 (2022年~2030年)Emotional Analytics Market - Growth, Future Prospects and Competitive Analysis, 2022 - 2030 |
感情分析の世界市場:成長、将来展望、競合分析 (2022年~2030年) |
出版日: 2022年08月12日
発行: Acute Market Reports
ページ情報: 英文 115 Pages
納期: 即日から翌営業日
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世界の感情分析市場は、予測期間中 (2022年~2030年) に15.6%のCAGRで拡大すると予測されています。感情分析は次世代技術であり、各企業はこの技術の能力を活用して、顧客関係管理 (CRM) を改善しています。開発者は、ソフトウェアの効率性と機能性を常に改善し、幅広いソフトウェアやハードウェアのアプリケーションと互換性を持たせています。複数の組織による人工知能の普及浸透もまた、感情分析市場の成長を後押ししています。
技術別では、生体認証・神経科学分野が優位を占めています。その要因として、その幅広い用途と企業での膨大な需要などが挙げられます。次いで、人工知能 (AI) が組織の間で人気を集めており、予測期間中に最も速い成長を記録すると予想されています。
地域別では、北米が市場のリーダーとして登場し、アジア太平洋と欧州がそれぞれ追随しています。一方、アジア太平洋は、予測期間中に最も高い成長率を記録すると考えられています。
当レポートでは、世界の感情分析市場について分析し、市場の基本構造やマクロ的・ミクロ的環境要因、全体的な市場規模の動向見通し (2020年~2030年)、技術別・用途別・種類別・ソリューション別・最終用途別および地域別の詳細動向、主な市場促進・抑制要因、主要企業のプロファイルと成長戦略、といった情報を取りまとめてお届けいたします。
The global emotional analytics market expected to expand at a CAGR of 15.6% during the forecast period from 2022 to 2030. Emotional Analytics is a next-gen technology and with its futuristic implications it has come under the limelight in business world. This technology is useful for data collection, data classification, data visualization and data analytics. Organizations are leveraging the capabilities of this technology to improve their customer relationship management (CRM). Developers are constantly making improvements in the efficiency and functionality of the software to make it compatible with wide range of software and hardware applications. The propulsion in the demand for emotional analytics market can also be associated to rising adoption of artificial intelligence by multiple organizations. Thus, driving the growth of the emotional analytics market.
Biometrics and Artificial Intelligence to Dominate and Register Maximum Growth throughout the Forecast Period
Based on technology, the global emotional analytics market is categorized into Artificial Intelligence, Biometrics and Neuroscience, 3D Modelling, Pattern Recognition, Records management, and Others (Facial recognition). Biometric and Neuroscience segment dominates the technology segment. This is due to its wide application and huge demand by organizations in the current market scenario. Biometric and Neuroscience followed by Artificial Intelligence is gaining popularity among organizations and is expected to register fastest growth during the forecast period of 2022-2030. This popularity is fuelled by deployment of artificial intelligence technology in various organizations and thus garners huge market share in global emotional analytics market.
North America Dominates; Asia Pacific Touted to Register Significant Growth during the Forecast Period
North America appeared as the market leader of the global emotional analytics market trailed by Asia Pacific and Europe respectively. North America is the fastest growing region of the world with highest revenue contribution. This is due to emergence of lots of advanced technologies and its implementation by various organizations. North America is the world's largest region to implement cloud-based facial recognition technology and artificial intelligence. In contrast, Asia Pacific is set to register the highest growth rate during the forecast period of 2022-2030. The implementation of biometrics and facial recognition technologies by the government and defense & safety agencies are bolstering the market growth. Asia Pacific to be followed by Europe and Rest of the World.
Some of the leading manufacturers profiled in the study include Google, Inc., Apple, Inc., Facebook, Inc., Microsoft Corporation, IBM Corporation, Kairos AR, Inc., Affectiva Inc., Beyond Verbal, Eyris (Emovu), iMotions A/S, sensation.io, RealComm Global LLC, Neuromore Inc., Lightspeed LLC, Retinad Virtual Reality Inc. among others. Big players are such as Apple, Inc., Google, Inc. etc. are rapidly acquiring smaller players in order to gain a competitive edge. Despite the fact emotional analytics is a niche market, many players are investing in this technology in order to better understand the customers' emotions and to make strategies accordingly to satisfy them.
Historical & Forecast Period
This study report represents analysis of each segment from 2020 to 2030 considering 2021 as the base year. Compounded Annual Growth Rate (CAGR) for each of the respective segments estimated for the forecast period of 2022 to 2030.
The current report comprises of quantitative market estimations for each micro market for every geographical region and qualitative market analysis such as micro and macro environment analysis, market trends, competitive intelligence, segment analysis, porters five force model, top winning strategies, top investment markets, emerging trends and technological analysis, case studies, strategic conclusions and recommendations and other key market insights.
Research Methodology
The complete research study was conducted in three phases, namely: secondary research, primary research, and expert panel review. key data point that enables the estimation of Emotional Analytics market are as follows:
Research and development budgets of manufacturers and government spending
Revenues of key companies in the market segment
Number of end users and consumption volume, price and value.
Geographical revenues generate by countries considered in the report
Micro and macro environment factors that are currently influencing the Emotional Analytics market and their expected impact during the forecast period.
Market forecast was performed through proprietary software that analyzes various qualitative and quantitative factors. Growth rate and CAGR were estimated through intensive secondary and primary research. Data triangulation across various data points provides accuracy across various analyzed market segments in the report. Application of both top down and bottom-up approach for validation of market estimation assures logical, methodical and mathematical consistency of the quantitative data.
Market Segmentation
Technology
Artificial Intelligence
Biometrics and Neuroscience
3D Modelling
Pattern Recognition
Records management
Others (Facial Recognition)
Application
Customer Experience Management
Competitive Intelligence
Sales and Marketing Management
Type
Text
Facial
Speech
Video Analytics
Solutions
API & SDK
Mobile and Web Application
Cloud
End-use vertical
Enterprises
Defense and Security agencies
Commercial
Industrial
Others (personal users)
Region Segment (2020-2030; US$ Million)
North America
U.S.
Canada
Rest of North America
UK and European Union
UK
Germany
Spain
Italy
France
Rest of Europe
Asia Pacific
China
Japan
India
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East and Africa
GCC
Africa
Rest of Middle East and Africa
Global Impact of COVID-19 Segment (2020-2021; US$ Million )
Pre COVID-19 situation
Post COVID-19 situation
Key questions answered in this report:
What are the key micro and macro environmental factors that are impacting the growth of Emotional Analytics market?
What are the key investment pockets with respect to product segments and geographies currently and during the forecast period?
Estimated forecast and market projections up to 2030.
Which segment accounts for the fastest CAGR during the forecast period?
Which market segment holds a larger market share and why?
Are low and middle-income economies investing in the Emotional Analytics market?
Which is the largest regional market for Emotional Analytics market?
What are the market trends and dynamics in emerging markets such as Asia Pacific, Latin America, and Middle East & Africa?
Which are the key trends driving Emotional Analytics market growth?
Who are the key competitors and what are their key strategies to enhance their market presence in the Emotional Analytics market worldwide?