Artificial Intelligence
Global Artificial Intelligence (AI) in Call Centers Market to Reach US$3.5 Billion by the Year 2026
New York, Jan. 14, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Artificial Intelligence (AI) in Call Centers Industry” – https://www.reportlinker.com/p06219592/?utm_source=GNW
Favored by increasing adoption of machine learning tools and cloud services, AI in call centers has gained notable traction in the recent years. The technology is being used by companies to leveraging and analyzing large data volumes for improving customer interactions and driving value. In the recent years, a large number of call centers have embraced AI and machine learning for turning leads into customers, driving product purchases, improving retention rates and enhancing customer experiences. While AI has been finding increasing penetration in the call center industry since the onset of digital transformation, the COVID-19 pandemic has considerably pushed the adoption rate. Companies are betting on AI and machine learning for replacing as well as supporting human representatives. AI holds notable relevance for the e-commerce industry that has exploded amid the pandemic and is increasingly leveraging AI-powered chatbots to serve customers. Conversational artificial intelligence (AI) is emerging as a prominent trend in the call center industry owing to its ability to automate customer services and improve productivity without compromising over the service quality. Conversational AI is bound to witness extensive adoption across the industry for automating customer services and boosting revenues for brands.
Amid the COVID-19 crisis, the global market for Artificial Intelligence (AI) in Call Centers estimated at US$1.1 Billion in the year 2020, is projected to reach a revised size of US$3.5 Billion by 2026, growing at a CAGR of 21.5% over the analysis period. Compute Platforms, one of the segments analyzed in the report, is projected to grow at a 20.3% CAGR to reach US$1.8 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Solutions segment is readjusted to a revised 21.9% CAGR for the next 7-year period. This segment currently accounts for a 33.4% share of the global Artificial Intelligence (AI) in Call Centers market. The growing need to analyze and interpret burgeoning volumes of data is boosting demand for advanced AI solutions to improve customer services. In corporate enterprises, the adoption of AI technology is reducing the time required for interpreting data and for reading algorithm patterns, which will in turn fuel demand for AI solutions in enterprises. Also driving demand for AI solutions is the growing use of speech recognition systems and intelligent customer assistance bots in rapidly expanding e-commerce sector.
The U.S. Market is Estimated at $399.6 Million in 2021, While China is Forecast to Reach $380.4 Million by 2026
The Artificial Intelligence (AI) in Call Centers market in the U.S. is estimated at US$399.6 Million in the year 2021. The country currently accounts for a 31.1% share in the global market. China, the world`s second largest economy, is forecast to reach an estimated market size of US$380.4 Million in the year 2026 trailing a CAGR of 24.7% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 18.3% and 19.2% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 20.6% CAGR while Rest of European market (as defined in the study) will reach US$480.8 Million by the end of the analysis period. Developed markets of North America and Europe are the leading regional markets. The dominant share of the US is mainly attributed to the widespread adoption of AI technology in several end-use industries including media, e-commerce and manufacturing. The US also benefits from being the early adopter of some of most advanced technologies and the considerably higher level of awareness about AI in the country. Increased funding for developing and advancing AI technology and applications, and a robust technical adoption base are also favoring growth. Growth in Asia-Pacific including China is propelled by the increasing adoption of natural language processing (NLP) and deep learning technologies in sectors such as marketing, finance, law, and agriculture. The market also benefits from the rapid pace of improvements being seen in computing power, data storage capacity and processing capabilities, which facilitate adoption of AI technology in sectors such as healthcare and automotive.
Services Segment to Reach $858.9 Million by 2026
Call centers are using AI to efficiently predict consumer behavior, find insights into customer journeys, and envisage their future behavior and response to specific actions. AI in call centers is also used for the self-service feature to address routine interactions and queries of customers. AI-powered chatbots are known to elevate customer services by helping customers with different types of requests and queries, right from gaining insights into products through to completing purchases. In the global Services segment, USA, Canada, Japan, China and Europe will drive the 22.1% CAGR estimated for this segment. These regional markets accounting for a combined market size of US$194.4 Million in the year 2020 will reach a projected size of US$799.1 Million by the close of the analysis period. China will remain among the fastest growing in this cluster of regional markets. Led by countries such as Australia, India, and South Korea, the market in Asia-Pacific is forecast to reach US$110.1 Million by the year 2026.
Select Competitors (Total 110 Featured)
- Amazon Web Services
- Artificial Solutions International AB
- Avaamo Technologies Private Ltd.
- Avaya Inc.
- Conversica, Inc.
- Creative Virtual Ltd.
- EdgeVerve Systems Limited
- Five9 Inc.
- Google Inc
- IBM Corporation
- Inbenta Technologies Inc.
- Jio Haptik Technologies Limited
- Kore.ai Inc.
- NICE Incontact
- Nuance Communications
- Observe.AI
- Oracle Corporation
- Pypestream Inc.
- Rulai
- SAP SE
- Smart Action Company LLC
- Talkdesk
- Twilio Inc.
Read the full report: https://www.reportlinker.com/p06219592/?utm_source=GNW
I. METHODOLOGY
II. EXECUTIVE SUMMARY
1. MARKET OVERVIEW
What is AI, Why Is It Important & How Is It Transforming the
World?
Outlook for AI
EXHIBIT 1: Disrupting Eons-Old Human Industrial, Economic &
Social Activities, the Powerful Combination of Human &
Artificial Intelligence Will Define Humanity?s Future: Global
Opportunity for AI (In US$ Billion) for Years 2021, 2023,
2025 and 2027
2025 and 202
These are Times When Questions Abound & Answers Are Few
So How Fast Or Slow Are We Moving?
EXHIBIT 2: How Fast the World is Vaccinated Will Determine How
Soon the Pandemic Will End: Global Percentage (%) of
Population Administered With Vaccines in Advanced Economies,
Emerging Markets, and Low-Income Countries As of July 2021
EXHIBIT 3: How & When Will the World Be Vaccinated? Global
Number of Annual COVID-19 Vaccine Doses (In Million) for Years
2020 through 2025 by Geographic Region/Country
Split Scenarios Unfold: The Great Vaccine Divide Emerges
EXHIBIT 4: Time is of Essence! What We Know So Far – ?Vaccine
Efficiency Against New Strains is Decreasing
Progress on Vaccinations, Why Should Businesses Care?
With IMF?s Upward Revision of Global GDP Forecasts for 2021,
Most Companies Are Bullish About an Economic Comeback Despite
a Continuing Pandemic
EXHIBIT 5: A Strong Yet Exceedingly Patchy & Uncertain Recovery
Shaped by New Variants, Comes as a Relief for Suffering
Industries & Markets: World Economic Growth Projections (Real
GDP, Annual % Change) for 2020 through 2022
EXHIBIT 6: Easing Unemployment Levels in 2021 Although Moderate
Will Infuse Hope for Industries Reliant on Consumer
Discretionary Incomes: Global Number of Unemployed People (In
Million) for Years 2019, 2020, 2021, and 2022
Recent Market Activity
Innovations
2. FOCUS ON SELECT PLAYERS
3. MARKET TRENDS & DRIVERS
Focus on Building Robust Customer Relationships Provides the
Foundation for the Growing Adoption of AI in Call Centers
Here?s How AI Promises To Revolutionize the Call Center Industry
Call Centers: A Primer
AI & Call Centers: A Powerful Combo
Call Centers Step Up Investments in Conversational AI
The Age of Self Service Spearheads the Rise of AI in Call Centers
AI-Powered Call Centers Transform Patient Experience in the
Healthcare Industry
AI-Powered Call Centers Promote Uninterrupted Customer Service
in the Telecommunications Industry
Robust Rise of e-Commerce & m-Commerce to Support Market Growth
EXHIBIT 7: Global B2C E-Commerce Sales in US$ Trillion for the
Years 2019 through 2025
EXHIBIT 8: Retail M-Commerce Sales as % of Retail E-commerce
Sales Worldwide for the Years 2016, 2018, 2020 & 2022
Pandemic Fast Forwards eCommerce Growth
Against the Backdrop of Robust Online Sales & Competition,
eCommerce Call Centers Step Up Focus on AI Based Capabilities
4. GLOBAL MARKET PERSPECTIVE
Table 1: World Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Geographic Region – USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
Markets – Independent Analysis of Annual Revenues in US$
Thousand for Years 2020 through 2027 and % CAGR
Table 2: World 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Geographic Region – Percentage
Breakdown of Value Revenues for USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets for Years 2021 &
2027
Table 3: World Current & Future Analysis for Compute Platforms
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 4: World 7-Year Perspective for Compute Platforms by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
Table 5: World Current & Future Analysis for Solutions by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 6: World 7-Year Perspective for Solutions by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2021 & 2027
Table 7: World Current & Future Analysis for Services by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 8: World 7-Year Perspective for Services by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2021 & 2027
Table 9: World Current & Future Analysis for Cloud by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 10: World 7-Year Perspective for Cloud by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2021 & 2027
Table 11: World Current & Future Analysis for On-Premise by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 12: World 7-Year Perspective for On-Premise by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2021 & 2027
Table 13: World Current & Future Analysis for BFSI by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 14: World 7-Year Perspective for BFSI by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2021 & 2027
Table 15: World Current & Future Analysis for IT & Telecom by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 16: World 7-Year Perspective for IT & Telecom by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
Table 17: World Current & Future Analysis for Consumer Goods &
Retail by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Revenues in US$ Thousand for Years 2020
through 2027 and % CAGR
Table 18: World 7-Year Perspective for Consumer Goods & Retail
by Geographic Region – Percentage Breakdown of Value Revenues
for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
Table 19: World Current & Future Analysis for Government by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 20: World 7-Year Perspective for Government by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2021 & 2027
Table 21: World Current & Future Analysis for Healthcare by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 22: World 7-Year Perspective for Healthcare by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2021 & 2027
Table 23: World Current & Future Analysis for Travel &
Hospitality by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Revenues in US$ Thousand for Years 2020
through 2027 and % CAGR
Table 24: World 7-Year Perspective for Travel & Hospitality by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
Table 25: World Current & Future Analysis for Other End-Uses by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Thousand for Years 2020 through 2027
and % CAGR
Table 26: World 7-Year Perspective for Other End-Uses by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
III. MARKET ANALYSIS
UNITED STATES
Table 27: USA Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 28: USA 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 29: USA Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 30: USA 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 31: USA Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 32: USA 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
CANADA
Table 33: Canada Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 34: Canada 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 35: Canada Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 36: Canada 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 37: Canada Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 38: Canada 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
JAPAN
Table 39: Japan Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 40: Japan 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 41: Japan Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 42: Japan 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 43: Japan Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 44: Japan 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
CHINA
Table 45: China Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 46: China 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 47: China Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 48: China 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 49: China Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 50: China 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
EUROPE
Table 51: Europe Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Geographic Region –
France, Germany, Italy, UK and Rest of Europe Markets –
Independent Analysis of Annual Revenues in US$ Thousand for
Years 2020 through 2027 and % CAGR
Table 52: Europe 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Geographic Region – Percentage
Breakdown of Value Revenues for France, Germany, Italy, UK and
Rest of Europe Markets for Years 2021 & 2027
Table 53: Europe Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 54: Europe 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 55: Europe Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 56: Europe 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 57: Europe Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 58: Europe 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
FRANCE
Table 59: France Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 60: France 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 61: France Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 62: France 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 63: France Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 64: France 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
GERMANY
Table 65: Germany Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 66: Germany 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Component – Percentage
Breakdown of Value Revenues for Compute Platforms, Solutions
and Services for the Years 2021 & 2027
Table 67: Germany Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 68: Germany 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Deployment – Percentage
Breakdown of Value Revenues for Cloud and On-Premise for the
Years 2021 & 2027
Table 69: Germany Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 70: Germany 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by End-Use – Percentage
Breakdown of Value Revenues for Healthcare, Travel &
Hospitality, Other End-Uses, BFSI, IT & Telecom, Consumer Goods &
Retail and Government for the Years 2021 & 2027
ITALY
Table 71: Italy Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 72: Italy 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 73: Italy Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 74: Italy 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 75: Italy Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 76: Italy 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
UNITED KINGDOM
Table 77: UK Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 78: UK 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Component – Percentage Breakdown of
Value Revenues for Compute Platforms, Solutions and Services
for the Years 2021 & 2027
Table 79: UK Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 80: UK 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by Deployment – Percentage Breakdown of
Value Revenues for Cloud and On-Premise for the Years 2021 &
2027
Table 81: UK Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 82: UK 7-Year Perspective for Artificial Intelligence
(AI) in Call Centers by End-Use – Percentage Breakdown of Value
Revenues for Healthcare, Travel & Hospitality, Other End-Uses,
BFSI, IT & Telecom, Consumer Goods & Retail and Government for
the Years 2021 & 2027
REST OF EUROPE
Table 83: Rest of Europe Current & Future Analysis for
Artificial Intelligence (AI) in Call Centers by Component –
Compute Platforms, Solutions and Services – Independent
Analysis of Annual Revenues in US$ Thousand for the Years 2020
through 2027 and % CAGR
Table 84: Rest of Europe 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Component – Percentage
Breakdown of Value Revenues for Compute Platforms, Solutions
and Services for the Years 2021 & 2027
Table 85: Rest of Europe Current & Future Analysis for
Artificial Intelligence (AI) in Call Centers by Deployment –
Cloud and On-Premise – Independent Analysis of Annual Revenues
in US$ Thousand for the Years 2020 through 2027 and % CAGR
Table 86: Rest of Europe 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Deployment – Percentage
Breakdown of Value Revenues for Cloud and On-Premise for the
Years 2021 & 2027
Table 87: Rest of Europe Current & Future Analysis for
Artificial Intelligence (AI) in Call Centers by End-Use –
Healthcare, Travel & Hospitality, Other End-Uses, BFSI, IT &
Telecom, Consumer Goods & Retail and Government – Independent
Analysis of Annual Revenues in US$ Thousand for the Years 2020
through 2027 and % CAGR
Table 88: Rest of Europe 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by End-Use – Percentage
Breakdown of Value Revenues for Healthcare, Travel &
Hospitality, Other End-Uses, BFSI, IT & Telecom, Consumer Goods &
Retail and Government for the Years 2021 & 2027
ASIA-PACIFIC
Table 89: Asia-Pacific Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Component – Compute
Platforms, Solutions and Services – Independent Analysis of
Annual Revenues in US$ Thousand for the Years 2020 through 2027
and % CAGR
Table 90: Asia-Pacific 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Component – Percentage
Breakdown of Value Revenues for Compute Platforms, Solutions
and Services for the Years 2021 & 2027
Table 91: Asia-Pacific Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Revenues in US$
Thousand for the Years 2020 through 2027 and % CAGR
Table 92: Asia-Pacific 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Deployment – Percentage
Breakdown of Value Revenues for Cloud and On-Premise for the
Years 2021 & 2027
Table 93: Asia-Pacific Current & Future Analysis for Artificial
Intelligence (AI) in Call Centers by End-Use – Healthcare,
Travel & Hospitality, Other End-Uses, BFSI, IT & Telecom,
Consumer Goods & Retail and Government – Independent Analysis
of Annual Revenues in US$ Thousand for the Years 2020 through
2027 and % CAGR
Table 94: Asia-Pacific 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by End-Use – Percentage
Breakdown of Value Revenues for Healthcare, Travel &
Hospitality, Other End-Uses, BFSI, IT & Telecom, Consumer Goods &
Retail and Government for the Years 2021 & 2027
REST OF WORLD
Table 95: Rest of World Current & Future Analysis for
Artificial Intelligence (AI) in Call Centers by Component –
Compute Platforms, Solutions and Services – Independent
Analysis of Annual Revenues in US$ Thousand for the Years 2020
through 2027 and % CAGR
Table 96: Rest of World 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Component – Percentage
Breakdown of Value Revenues for Compute Platforms, Solutions
and Services for the Years 2021 & 2027
Table 97: Rest of World Current & Future Analysis for
Artificial Intelligence (AI) in Call Centers by Deployment –
Cloud and On-Premise – Independent Analysis of Annual Revenues
in US$ Thousand for the Years 2020 through 2027 and % CAGR
Table 98: Rest of World 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by Deployment – Percentage
Breakdown of Value Revenues for Cloud and On-Premise for the
Years 2021 & 2027
Table 99: Rest of World Current & Future Analysis for
Artificial Intelligence (AI) in Call Centers by End-Use –
Healthcare, Travel & Hospitality, Other End-Uses, BFSI, IT &
Telecom, Consumer Goods & Retail and Government – Independent
Analysis of Annual Revenues in US$ Thousand for the Years 2020
through 2027 and % CAGR
Table 100: Rest of World 7-Year Perspective for Artificial
Intelligence (AI) in Call Centers by End-Use – Percentage
Breakdown of Value Revenues for Healthcare, Travel &
Hospitality, Other End-Uses, BFSI, IT & Telecom, Consumer Goods &
Retail and Government for the Years 2021 & 2027
IV. COMPETITION
Total Companies Profiled: 110
Read the full report: https://www.reportlinker.com/p06219592/?utm_source=GNW
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Artificial Intelligence
J.P. Morgan Life Sciences Private Capital, Blue Horizon Advisors and United Al Saqer Announce Winner of Inaugural 2024 Life Sciences Innovation Summit
In conjunction with Abu Dhabi Global Healthcare Week 2024
ABU DHABI, UAE, May 17, 2024 /PRNewswire/ — J.P. Morgan Life Sciences Private Capital, Blue Horizon Advisors and United Al Saqer Group announced today Rayees Rahman of Harmonic Discovery as the winner of the inaugural J.P. Morgan Asset Management: Life Sciences Innovation Summit. Harmonic Discovery is a precision pharmacology company applying its generative chemistry platform to advance next-generation kinase inhibitors.
In partnership with the Department of Health – Abu Dhabi (DoH), the Summit took place on May 14-15, 2024 at Cleveland Clinic Abu Dhabi and showcased the 11 innovative finalists, as well as highlighted existing innovators and opportunities in the Emirate of Abu Dhabi. The event also featured keynote speeches from Dr. Laurie Glimcher of Dana-Farber Cancer Institute, Dr. Shahrukh Hashmi of the Department of Health – Abu Dhabi, and Dr. David Ho of Columbia University Medical Center and provided attendees networking opportunities to gain valuable insights into the future of life sciences innovation.
In addition, the jury designated Chun-Hao Huang of Algen Biotechnologies as honourable mention. Algen Biotechnologies is a platform therapeutics and drug discovery company using world-leading CRISPR and AI to find treatments for cancer, inflammation and metabolic diseases.
The winners were selected by an esteemed, international panel of judges, which included:Laurie Glimcher, MD, President and CEO at Dana-Farber Cancer InstituteJorge Guzman, MD, CEO at Cleveland Clinic Abu DhabiProf. Shahrukh Khurshid Hashmi, MD, Director of Research, Department of Health, Abu DhabiYasmine Hayek Kobeissi, PhD, CQF, BSc., Executive Director at Blue Horizon AdvisorsAnya Schiess, Managing Partner at J.P. Morgan Life Sciences Private CapitalWalid Zaher, PhD, Co-Founder and CEO, Carexso
Dr. Asma Al Mannaei, Executive Director of the Research and Innovation Centre at the Department of Health – Abu Dhabi said: “Under the directives of the UAE’s wise leadership, and renowned for its world-leading medical infrastructure, Abu Dhabi stands at the forefront of healthcare excellence, offering an unparalleled opportunity for advancement in healthcare for global partners. It was our utmost pleasure hosting the J.P. Morgan Asset Management Life Sciences Innovation Summit 2024 on the sidelines of Abu Dhabi Global Healthcare Week and we commend the winners for their pioneering efforts in driving impactful advancements in healthcare; their dedication to innovation not only transforms the landscape of medicine, but also holds the promise of improving lives worldwide.”
Stephen Squinto, PhD, Chief Investment Officer, J.P. Morgan Life Sciences Private Capital said: “We are thrilled with the level of biotech passion and innovation that we observed at this year’s Summit in Abu Dhabi. The energy was truly palpable we are thrilled to announce Rayees Rahman as the winner of our first Life Sciences Innovation Summit. Harmonic Discovery’s approach embodies the next generation of drug discovery and development. We appreciate the time and effort of all participants and cannot wait for our next event in the region.”
Nabil Kobeissi, Chief Executive Officer of Blue Horizon Advisors, said: “As the main sponsor, we are committed to nurturing and fostering the growth of all 11 finalists in this vibrant biotech ecosystem. This Summit marks the beginning of a transformative journey, and we are confident that it will pave the way for a flourishing hub in the region. We are also pleased to announce that we will commit to invest in and partner with the winner, Harmonic Discovery, to support its future growth in the region.”
Sponsors for the event included J.P. Morgan Life Sciences Private Capital, J.P. Morgan Commercial Bank, Blue Horizon Advisors, United Al Saqer Group, Thermo Fisher Scientific, and Salam Capital. The Summit organisation, logistics and finalist recruitment were facilitated by Lyfebulb.
Of importance, at the Summit, Mr. Mohamed Al Breiki, Executive Director of Sustainable Development at Masdar City, announced that Masdar City Free Zone would award all 11 Finalists complimentary business licenses to further support their establishment in the region. Masdar City is one of the world’s most sustainable urban developments and innovation hubs with a growing focus on life science entrepreneurship in Abu Dhabi.
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Artificial Intelligence
Congregating in the Lion City for a Win-Win Future of Intelligent Computing at the Global Data Center Facility Summit 2024
SINGAPORE, May 17, 2024 /PRNewswire/ — On May 17, 2024, the Global Data Center Facility Summit 2024 was held in Singapore with the theme of “Power the Digital Era Forward.” At the summit, over 600 data center industry leaders, technical experts, and ecosystem partners gathered to discuss new trends and opportunities of the global data center industry in the intelligent computing era. The attendees also got to experience all-scenario, all-ecosystem, and all-service end-to-end (E2E) solutions, share innovative practices of green data centers in the Asia Pacific and Europe, and experience the exhibition vehicle to unveil the mystery of Outdoor PowerPOD that features one power system per container. By fully embracing the intelligent computing era, Huawei strives to power the digital era forward.
Seizing Opportunities Brought by AI and Jointly Building Green & Reliable Computing Infrastructure
At the opening speech, Charles Yang, Senior Vice President of Huawei and President of Marketing, Sales and Services, Huawei Digital Power, noted that since ChatGPT ushered in the AI era, large models keep pushing the limits of computing power and the intelligent computing industry is witnessing an unprecedented construction boom. As predicted, 100 GW will be added to the global data center installed capacity and the market value will exceed US$600 billion in the next five years.
According to Charles, with opportunities come challenges. The primary challenge concerning the data center industry is reliability and electricity. Data centers are scaling up from the MW-level to the GW-level. E2E reliability of data centers is becoming even more important than ever. In response to the opportunities, Huawei will work with customers and partners to expand the industry space.
Steering Data Centers to the AI Era with Product + Service + Ecosystem
During the summit, Sun Xiaofeng, President of Huawei Data Center Facility & Critical Power Business, delivered a speech titled “Power the Digital Era Forward. ” He stated that as AI large models are penetrating, the surging compute demands drive the expansive growth in data center.
To address the challenges, Huawei strives to build product + service + ecosystem E2E data center solutions that feature fast deployment, flexible cooling, green energy, and ultimate reliability.
Fast deployment: Data centers are fully modularized and prefabricated to ensure high quality and efficient construction.Flexible cooling: Air-liquid fusion and integrated cooling source emerges as the optimal cooling architecture for intelligent computing.Green energy: New generation-grid-load-storage integrated solution is built to ensure the sound operations of intelligent computing centers.Ultimate reliability: Data centers are safeguarded through reliable products and preventive protection.Currently, Huawei’s global service network covers more than 170 countries with over 1800 professional engineers, providing 24/7 technical support. With N+ flagship service centers, Huawei has built a one-hour service radius for its customers.
The ecosystem is a key part for a win-win future of intelligent computing. Huawei works with partners to develop comprehensive E2E solutions and provide customers with one-stop data center services.
During the summit, Huawei and the ASEAN Centre for Energy released a white paper on “Building Next Generation Data Center Facility in ASEAN.” The document provides insights into the status quo, challenges, and trends of data centers in the ASEAN region, and emphasizes that efficient and energy-saving products and solutions should be applied. It also proposes future-oriented policy recommendations for data center markets.
In the ecosystem exhibition area, Huawei showcased scenario-based solutions for large-, medium-, and small-sized data centers, and demonstrated data center consulting, design, integrated development, and delivery capabilities with dozens of ecosystem partners including CIMC, Weichai, CSCEC, and Huashi.
On a special note, the Huawei Outdoor PowerPOD exhibition vehicle made its global debut. The Huawei Outdoor PowerPOD features one power system per container, outdoor deployment, plug-and-play, and high protection rating and reliability. It has become the preferred choice for decoupling the power supply architecture.
A single tree cannot make a forest.
AI is presenting great opportunities. By delving into the industry, aggregating partner ecosystems, and making innovations applicable to transformations, Huawei will continue to help customers build reliable computing infrastructure, accelerating the industry to embrace AI and powering the digital era forward.
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View original content:https://www.prnewswire.co.uk/news-releases/congregating-in-the-lion-city-for-a-win-win-future-of-intelligent-computing-at-the-global-data-center-facility-summit-2024-302148973.html
Artificial Intelligence
HOYA Group Company, PENTAX of America, Inc. and MAGENTIQ EYE Ltd. Announce their Intention to Form a Distribution Partnership for the U.S Market
WASHINGTON D.C., May 17, 2024 /PRNewswire/ — HOYA Group Company, PENTAX of America, Inc. (PENTAX Medical) and MAGENTIQ-EYE Ltd., an AI medical device company, announced today their intention to form a partnership in the field of AI in Gastroenterology and to examine further collaboration and strategic partnerships.
Pending field trials and customer demonstrations to be conducted over the next several months, the companies expect to formalize an agreement as a first step in this partnership, by which PENTAX Medical will distribute the MAGENTIQ-COLO™ AI-assisted lesion detection device in the U.S.A. beginning October 1st, 2024. The system will be demonstrated at the upcoming Digestive Disease Week (DDW) in Washington D.C., U.S.A.
MAGENTIQ-COLO™ is a cutting-edge system for the detection of gastrointestinal lesions in colonoscopies. Successfully validated in an international multicenter, randomized, controlled trial (RCT) with 950 enrolled patients at 10 hospitals in Europe, United States and Israel, its outstanding diagnostic capabilities are setting new standards in endoscopic AI.
“We are excited to bring the MAGENTIQ-COLO™ device to the GI community in the U.S. Together with PENTAX Medical’s product portfolio, we are confident to provide a smart solution in colonoscopy and contribute further to colorectal cancer prevention”, says David Harrison, President PENTAX of America, Inc.
“Partnering with PENTAX Medical is an important milestone for us, as it opens new opportunities to introduce our game changing product to the U.S. market, benefiting doctors and their patients and saving more lives”, says Dror Zur, Founder & CEO of MAGENTIQ-EYE.
About MAGENTIQ-EYE Ltd.Founded in 2014, MAGENTIQ-EYE offers a groundbreaking AI-aided colonoscopy solution that offers one of the best performances known today. With worldwide recognition from the gastroenterology community, and dozens of procedures performed every day with the assistance of MAGENTIQ-COLO™, we are setting the new standard of colonoscopy, and saving more and more lives. www.magentiq.com
About PENTAX Medical
PENTAX Medical is a division of HOYA Group. The company’s mission is to improve the standard of patient care and quality of healthcare delivery by providing the best endoscopic products and services with a focus on QUALITY, CLINICALLY RELEVANT INNOVATION, and SIMPLICITY. PENTAX Medical strives to align with the healthcare community’s Triple Aim goals through transparent partnerships with its customers and by providing the highest quality solutions to help them reach their goals, including enabling customers to improve patient outcomes by offering evidence-based solutions across the continuum of care; ensuring value by supporting the customers to improve their efficiency and minimize their healthcare costs; and enriching patient and provider’s experience by empowering every member of the care team to achieve optimal outcomes through products, education, and support. Focused on the outcome instead of technological features, PENTAX Medical listens to the healthcare community and their patients, understands their daily obstacles and helps improve endoscopy with smart innovations.
For more information: https://www.pentaxmedical.com
About HOYA
Founded in 1941 in Tokyo, Japan, HOYA Corporation is a global technology and med-tech company and a leading supplier of innovative high-tech and medical products. HOYA is active in the fields of lifecare and information technology, providing eyeglasses, medical endoscopes, intraocular lenses, optical lenses, as well as key components for semiconductor devices, LCD panels, and hard disk drives. With over 150 offices and subsidiaries worldwide, HOYA currently employs a multinational workforce of 36,000 people. For more information, please visit: https://www.hoya.com/en/
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