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Emotion Detection and Recognition (EDR) Market worth $43.29 billion by 2031 | Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., June 30, 2026 /PRNewswire/ — According to MarketsandMarkets™, the Emotion Detection and Recognition (EDR) Market is projected to grow from USD 29.14 billion in 2026 to USD 43.29 billion by 2031 at a Compound Annual Growth Rate (CAGR) of 8.2% during the forecast period.

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Emotion Detection and Recognition (EDR) Market Size & Forecast:

Market Size Available for Years: 2020–20312025 Market Size: USD 26.76 billion2026 Market Size: USD 29.14 billion2031 Projected Market Size: USD 43.29 billionCAGR (2026–2031): 8.2%

Emotion Detection and Recognition (EDR) Market Trends & Insights:

The growing availability of pre-trained emotion recognition models is driving adoption in the emotional detection and recognition market, as it reduces development complexity and accelerates deployment.By offering, the solutions segment is expected to dominate the market, accounting for the largest market share of 76.6% in 2026.By deployment mode, the cloud segment is expected to have the highest growth rate of 10.3% during the forecast period.By data modality, the visual data segment is expected to dominate the market, accounting for the largest market share of 35.7% in 2026.By vertical, the automotive segment will grow the fastest during the forecast period, with the highest CAGR of 15.7%.The North American Emotion Detection and Recognition Market accounted for the largest market share of 36.9% in 2026.

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The growing availability of pre-trained emotion recognition models is driving adoption in the emotional detection and recognition market, as it reduces development complexity and accelerates deployment. Organizations can leverage ready-to-use models for facial, voice, and text-based emotion analysis, minimizing the need for extensive data collection and training. This enables faster integration into applications, lowers costs, and supports scalability across enterprise and consumer use cases.

By application, the consumer experience analytics segment is estimated to lead the market.

Consumer experience analytics accounts for the largest share of the EDR Market due to the widespread adoption of emotion AI across customer service, contact centers, digital engagement platforms, and customer journey management solutions. Organizations are increasingly leveraging emotion recognition technologies to analyze customer sentiment, measure satisfaction levels, and gain deeper behavioral insights across voice, text, video, and digital interactions. The growing use of conversational AI, speech analytics, and customer intelligence platforms, coupled with increasing investments in personalized customer engagement strategies, continues to drive adoption. Leading vendors such as NICE, Genesys, Verint, Qualtrics, and CallMiner have further strengthened the commercial adoption of emotion analytics, making consumer experience analytics the primary revenue-generating application area within the EDR Market.

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By solution, emotion recognition APIs & SDKs are expected to register the highest CAGR during the forecast period.

The emotion recognition APIs & SDKs segment is gaining momentum as organizations increasingly seek flexible and scalable ways to integrate emotion intelligence capabilities into existing applications and digital platforms. APIs and SDKs enable developers to embed speech emotion recognition, sentiment analysis, facial expression analysis, and multimodal emotion detection functionalities without investing in the development of proprietary emotion AI models. The growing adoption of conversational AI, virtual assistants, customer engagement platforms, healthcare applications, and intelligent automotive systems is further accelerating demand for these solutions. In addition, APIs and SDKs support faster deployment, easier customization, and seamless integration with cloud environments, making them particularly attractive for enterprises seeking to incorporate emotion-aware capabilities into customer-facing and operational workflows while reducing implementation complexity and development costs.

By region, Asia Pacific to register highest CAGR during forecast period.

Asia Pacific is expected to be the fastest-growing region in the Emotion Detection and Recognition (EDR) market, supported by the rapid commercialization of emotion-aware technologies across automotive, customer experience, and public safety applications. Countries such as Japan and South Korea are accelerating the deployment of driver monitoring and occupant sensing systems through strong automotive manufacturing ecosystems, while India’s large contact center and business process outsourcing industry is driving the adoption of speech emotion analytics and customer sentiment solutions. China continues to invest heavily in smart city initiatives, intelligent transportation systems, and AI-enabled public services, creating additional opportunities for emotion recognition technologies. The region also benefits from a large digital consumer base, increasing enterprise AI adoption, expanding cloud infrastructure, and growing investments in human-machine interaction technologies. Furthermore, the presence of major electronics manufacturers, automotive OEMs, and emerging AI startups is accelerating innovation and deployment across multiple end-use industries, positioning the Asia Pacific as a key growth engine for the global EDR Market.

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Top Companies Emotion Detection and Recognition (EDR) Market:

The Top Companies in Emotion Detection and Recognition Market include Microsoft (US), AWS (US), Oracle (US), NiCE (Israel), Salesforce (US), Google (US), Qualtrics (US), Bosch (Germany), NEC (Japan), Genesys (US), IBM (US), Nemesysco (Israel), Smart Eye (Sweden), Uniphore (US), CallMiner (US), audEERING (Germany), Tobii (Sweden), Seeing Machines (Australia), Medallia (US), Sprinklr (US), Verint (US), Realeyes (UK), Observe.AI (US), Entropik (India), Behavioral Signals (US), Kairos (US), Noldus (Netherlands), Cognovi Labs (US), Cerence (US), MorphCast (Italy), Hume AI (US), and Vern AI (US).

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Mobile Communications America Introduces Managed Cellular DAS Solution for Hotels Impacted by Wireless Carrier Transition Notices

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MCA’s SecurePlan® + Signal Source combines monitoring, operational support, and new signal source management to help hospitality organizations maintain reliable cellular connectivity.

SPARTANBURG, S.C., June 30, 2026 /PRNewswire/ — Mobile Communications America, Inc. (MCA), a national leader in integrated communication, connectivity, and security solutions, today announced an expanded managed services offering that combines Signal Source as a Service (SSaaS) with its SecurePlan® support program to help hospitality organizations maintain reliable in-building cellular coverage as carrier support models continue to evolve across the country.

As wireless carriers increasingly shift away from supporting legacy 4G distributed antenna system (DAS) deployments, many hotels, resorts, convention centers, and other venues are left responsible for critical wireless infrastructure previously supported through carrier-led programs. Without a clear path forward, organizations risk loss of coverage, which impacts the guest experience, staff productivity, and day-to-day operations.

Hospitality leaders seeking to understand the impact of these industry changes and explore available options can learn more at https://info.callmc.com/hospitality-das.

To help organizations navigate these challenges, MCA combined SecurePlan®, a best-in-class managed service to keep existing DAS operational and optimized, with Signal Source-as-a-Service, delivering a fully managed approach to existing in-building wireless infrastructure, helping organizations maintain reliable cellular connectivity through:

Signal source management and ongoing system oversightProactive monitoring and issue resolutionMaintenance, spares, repairs, and operational support from wireless expertsReduced burden on internal IT and facilities teamsA predictable managed services model designed for long-term reliability

“As organizations navigate changing carrier support models, they need a dependable path forward,” said John Bramfeld, Sr. Director of In-Building Wireless Solutions at MCA. “SecurePlan® + Signal Source provides the management, monitoring, and support required to maintain reliable connectivity, protect existing DAS investments, and extend the useful life of critical in-building cellular infrastructure. Losing carrier signal sources isn’t the end of the world, but it can create a functionality gap in your DAS if not addressed quickly.”

Under the SecurePlan® + Signal Source model, MCA helps hospitality organizations respond to the loss of carrier support by providing a managed path for signal-source continuity, system monitoring, technical support, and lifecycle planning. Rather than requiring hotel owners and operators to manage complex DAS infrastructure on their own, MCA’s technical teams continuously monitor performance, support ongoing operations, and help organizations protect their investment and the remaining useful life of their existing DAS.   

Reliable cellular connectivity has become an essential component of the modern guest experience, supporting everything from mobile check-in and digital room access to staff communications, public safety, and day-to-day operations. As demand for seamless connectivity continues to grow, organizations are increasingly seeking partner-led solutions that provide greater visibility, flexibility, and operational control.

SecurePlan® + Signal Source reflects MCA’s continued investment in helping customers navigate complex connectivity challenges through managed services, technical expertise, and lifecycle support. By combining industry-leading network management solutions with nationwide service capabilities, MCA helps hospitality organizations maintain the connectivity experiences their operations and guests expect.

About Mobile Communications America

Mobile Communications America (MCA) is a national leader in wireless communication, data, and security solutions. MCA serves more than 65,000 customers nationwide across public safety, commercial, education, healthcare, utilities, and government sectors. From two-way radios and network infrastructure to access control and video surveillance, MCA delivers comprehensive systems that ensure safety and operational efficiency. Learn more at www.callmc.com.

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Atera Extends Enterprise Lead with Top G2 Rankings

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Ranked No. 1 across 15 G2 Summer 2026 reports, Atera outperforms platforms including ServiceNow, Salesforce, and Microsoft Copilot as enterprises increasingly prioritize outcome-driven AI

NEW YORK, June 30, 2026 /PRNewswire/ — Atera, the pioneer of the Autonomous IT platform for the modern enterprise, today announced a series of enterprise milestones with No. 1 rankings across 15 G2 Summer 2026 Index reports spanning five categories and evaluating customer preferences across Implementation, Usability, and Results. The G2 rankings place Atera ahead of other enterprise platforms such as ServiceNow, Salesforce Agentforce, Microsoft Copilot, and Jira, reflecting growing enterprise demand for its patented Autonomous IT agent, Robin.

Atera took the top spot in multiple Enterprise categories, including AI Agents, Agentic AI Software, AIOps Platforms, AI IT Agents, and Service Desk. Several of the reports evaluate highly competitive markets, with some covering more than 100 vendors. G2’s Index reports are widely used by enterprise software buyers. Atera’s No. 1 rankings highlight a shift in how organizations evaluate both AI-driven and enterprise IT platforms, with greater emphasis on customer-validated outcomes and verifiable ROI.

At the center of this momentum is Atera’s Autonomous IT agent, Robin, which ranked first across the three core AI Agents indices: Results, Implementation, and Usability. With scores of 9.55 in Implementation, 9.40 in Results, and 9.31 in Usability out of a possible 10, Atera achieved the highest overall performance in the category. Ranking No. 1 across all three indices demonstrates consistent strength from initial deployment through measurable business outcomes.

“These milestones reflect a broader shift in how enterprise teams adopt and evaluate AI,” said Gil Pekelman, co-founder and CEO of Atera. “Organizations are moving beyond the theoretical promise of AI and focusing on measurable impact in practice. Robin was designed to remove the everyday technology friction that gets in the way of work and help people stay focused on higher-value work that moves the needle for their organizations. That’s what these rankings ultimately reflect.”

Consistent performance across the full lifecycle

G2’s AI Agent Index reports evaluate platforms across three critical phases of adoption:

Implementation Index: Speed and ease of deploymentResults Index: ROI and business impactUsability Index: Ease of use and administration

Atera’s No. 1 ranking across all three phases reflects strength across the full AI agent lifecycle as enterprise buyers increasingly evaluate AI agents based on end-to-end performance rather than isolated capabilities.  

Autonomous execution that delivers results

Atera’s patented AI agent, Robin, is designed to detect, diagnose, and resolve technical issues end-to-end, without a technician needed in the loop. Unlike platforms that primarily route tickets or surface recommendations, Robin takes action to resolve IT incidents autonomously across devices, servers, mainframes, and networks, enabling IT teams to focus on higher-value work while employees continue working uninterrupted.

About Atera

Atera is defining the category of Autonomous IT, in which AI agents resolve technical incidents end-to-end, without a technician in the loop. Robin by Atera is the world’s only AI technician that detects, diagnoses, remediates, and verifies incidents by taking action directly on devices, servers, networks, and mainframes—resolving technical Tier 1 and complex Tier 2 incidents in full.

Built on a patented architecture, Robin operates as a system of action, working within existing enterprise environments and adhering to the highest enterprise-grade security and compliance standards. It is governed by configurable guardrails, complete audit trails, and approval workflows.

More than 13,000 organizations across 120+ countries rely on Atera to keep their people working, uninterrupted. To learn more, visit atera.com.

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Basecamp Research brings EDEN’s antibiotic and vaccine design models to Claude Science

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Scientists can now design potent antibiotics and rapidly prioritise vaccine targets through Claude Science, thanks to integration with Basecamp Research’s EDEN models.

LONDON and CAMBRIDGE, Mass., June 30, 2026 /PRNewswire/ — Basecamp Research today announced that its antibiotic design and vaccine target prediction EDEN models are now available through Claude, including Claude Science, Anthropic’s AI workbench for life sciences research. This allows researchers to generate and prioritise therapeutic candidates through a conversational interface in a matter of minutes.

By combining Claude’s reasoning with EDEN’s biological design capabilities, researchers can now go straight from a target to a shortlist of high-performing antibiotic or vaccine candidates. This capability is available in Claude.ai, Claude Desktop, Claude Mobile, Claude Code, Cowork, and Claude Science through Anthropic’s connectors directory.

The world needs new antibiotics

Drug-resistant infections play a role in nearly 5 million deaths per year, but the pharmaceutical industry has largely retreated from antibiotic development. New antibiotics are badly needed, particularly for the pathogens spreading fastest in lower-income countries where last-resort drugs are hardest to access.

“Microbes have been producing antibiotics and evolving resistance to each other for billions of years,” said Glen Gowers, Co-founder and CEO of Basecamp Research. “EDEN learned from that history, and now, through Claude, researchers all over the world can design successful new antibiotics in minutes, not years.”

In collaboration with University of Pennsylvania researchers, Basecamp Research demonstrated that 97% of the antibiotic peptides designed by EDEN are active against World Health Organisation (WHO)  priority pathogens when tested in the lab. Fleming Prize winner and Presidential Associate Professor César de la Fuente led the work by UPenn’s Machine Biology Group.

One candidate, EDEN-7, was tested in mice infected with multidrug-resistant Acinetobacter baumannii – a pathogen associated with hospital outbreaks worldwide – and showed efficacy in the same range as a last-line antibiotic, despite being generated zero-shot, meaning the model produced it without subsequent optimization or iterative engineering.

“This collaboration shows how frontier biological foundation models can be paired with rigorous experimental validation to accelerate antibiotic discovery,” de la Fuente said. “Antimicrobial resistance is one of the greatest existential threats facing humanity and collaborations like this between academia and industry are critical.”

Finding vaccine targets in minutes

Developing a vaccine against an emerging pathogen is a race against time. Which part of the pathogen to target is often determined empirically, which can take months of laboratory work.  This delay often costs lives.

EDEN’s vaccine design model identifies which proteins are most likely to trigger a protective immune response, outperforming comparable genomic foundation models. By integrating it into Claude, researchers can describe a problem in plain language and have Claude run a prioritisation workflow against the pathogen’s genetic sequence. This can reduce several weeks of research per pathogen into a single conversation.

A growing collaboration

“The antibiotic crisis and the need for new vaccines are two of the most important public health challenges of our time,” said Jonah Cool, Head of Life Sciences Partnerships and Deployment at Anthropic. “Making EDEN available through Claude Science gives researchers a new way to explore and prioritise treatments for some of the most dangerous pathogens on Earth.”

Built on the world’s largest biological dataset

Most biological AI models are trained on a narrow set of well-studied organisms – the ones scientists have already catalogued. In contrast, EDEN is trained on BaseData, the largest, fastest-growing and most information-rich biological database on Earth.

To build it, Basecamp Research has run expeditions to over 200 locations across more than 30 countries, sampling the places life is strangest and least understood, including thermal springs, deep-sea sediment, polar ice, remote high-altitude plateaus. In the process, it has documented more than a million species new to science. The result is over 10 billion new genes and roughly ten times the content of every public database combined.

Basecamp Research aims to scale BaseData 100-fold over the next two years through the Trillion Gene Atlas, a partnership with Anthropic, NVIDIA, PacBio and Ultima Genomics designed to generate genomic data at the trillion-gene scale for AI-driven drug discovery.

Diversity is what drives EDEN’s performance across a wide range of tasks. Every sample is collected under informed-consent and benefit-sharing agreements so that the countries and communities who steward this biodiversity share in the value it creates, with each sequence traceable to one of hundreds of country-specific permits. This allows a portion of revenue to be fed back to the country and community where the data was originally sourced, setting a standard of data provenance that the rest of the field has yet to match.

About Basecamp Research
Basecamp Research is dedicated to solving major challenges in healthcare and life sciences by exploring Beyond Known Biology™. The company trains frontier AI models on BaseData, the world’s largest biological dataset, collected through partnerships with more than 200 organisations across more than 30 countries. Basecamp Research is developing a pipeline of therapeutics and works with commercial and academic partners worldwide to accelerate therapeutic discovery and development.

BaseData™, Beyond Known Biology™, EDEN-GLM™ and aiPGI™ are trademarks and technologies of Basecamp Research.

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