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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ReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need – instantly, in one place.
__________________________
BOSTON, April 18, 2024 /PRNewswire/ — The RepTrak™ Company, the world’s leading reputation data and insights company, released its annual Global RepTrak 100 report. Utilizing its advanced reputation monitoring software, RepTrak gathered data from more than 243,000 survey responses across 14 major economies to rank the world’s 100 most reputable companies. They share that ranking alongside a full analysis of global corporate reputation trends and corresponding public sentiment in the 2024 report.
After two years of consecutive Reputation Score declines, this year’s Score is back up with an increase from 73.2 in 2023 to 73.8 in 2024. It’s a small increase after 2023’s full one-point drop. However, it’s an encouraging sign that companies have begun to recover from reputation falls driven by many challenges: macroeconomic issues, workplace difficulties, product problems, and corporate responsibility skepticism.
“This year’s report underscores a pivotal shift in the corporate landscape, spotlighting the remarkable adaptability and dedication of the Top 100 companies in responding to the dynamic needs of stakeholders,” states RepTrak CEO Mark Sonders. “The companies featured in our report are not just riding the wave of change; they are the ones steering it, proving that the best approach to business is one that embraces evolution and champions progress.”
RepTrak’s report explores how people thought, felt, and acted toward companies over the past year. Findings include notable increases in Conduct and Citizenship efforts, stakeholders’ rising willingness to invest, culturally resonant brand communications, and ESG Scores that soared despite skepticism around the acronym.
To read the full 2024 Global RepTrak 100 report, please visit: www.reptrak.com/globalreptrak
About RepTrak
The RepTrak™ Company is the world’s leading reputation data and insights company. We help companies by organizing and grading a variety of reputational elements, offering a real-world report card on their corporate reputation. Subscribers to the RepTrak program use our predictive insights to protect business value, improve return on investment, and increase their positive impact on society. RepTrak’s pairing of advanced metrics and dedicated reputation advisors offers clients an actionable analysis of their reputation data, aligning business objectives with stakeholder sentiment across different markets and sectors.
Established in 2004, The RepTrak Company owns the world’s largest reputation benchmarking database, gathering over 1 million company ratings per year used by CEOs, boards, and executives in more than 60 countries worldwide. For more information, please visit: www.reptrak.com
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Artificial Intelligence
Group-IB takes part in a global operation to cripple Canadian Phishing-as-a-Service provider LabHost
SINGAPORE, April 18, 2024 /PRNewswire/ — Group-IB, a leading cybersecurity company aimed at investigating, preventing, and fight digital crime announced today that it participated in a coordinated global takedown operation against prominent Canadian Phishing-as-a-Service (PhaaS) provider LabHost, which has led to the arrest of 37 suspects across the United Kingdom and around the world by law enforcement agencies. As part of the operation, Group-IB also conducted an extensive analysis of LabHost’s criminal history and infrastructure, including insights into LabHost’s administrative platform and the services it provides to its purported user base which exceeds 2,000 subscribers worldwide, who illegally obtained around 480,000 card numbers, 64,000 pin numbers, and over 1 million passwords from victims used for websites and other online services, according to law enforcement agencies.
“By leveraging our Threat Intelligence and Digital Risk Protection, we are able to identify and monitor phishing attacks and websites like those deployed by LabHost and its subscribers around the world, enabling us to actively alert and protect our customers, and in turn, their customers as well,” said Dmitry Volkov, Chief Executive Officer of Group-IB. “Today’s takedown operation demonstrates the agility and responsiveness of our decentralized Digital Crime Resistance Centers, and how quickly we can provide immediate and local assistance wherever our customers may be.”
First uncovered in late 2021, LabHost emerged as a fully automated Phishing-as-a-Service (PhaaS) platform, streamlining the creation of phishing websites meticulously mirroring the interface and functionality of prominent banking, postal, and financial entities, aimed at intercepting, seizing, and profiting from users’ personal, credit card, and online banking credentials. Users are prompted to select from various “membership plans,” tailored to target businesses and individuals in either the United States and Canada, or globally, akin to mobile subscription models. These plans encompass “standard,” “premium,” and “world membership” tiers, priced between US$179 and US$300 monthly, with options for monthly, quarterly, or annual billing cycles.
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Artificial Intelligence
Malaysia Data Center Market to Witness $3.97 Billion Investment Opportunities by 2029, Get Insights on 34 Existing Data Centers and 33 Upcoming Facilities across Malaysia – Arizton
CHICAGO, April 18, 2024 /PRNewswire/ — According to Arizton’s latest research report, the Malaysia data center market is growing at a CAGR of 13.92% during the forecast period.
To Know More, Download the Free Sample Report: https://www.arizton.com/market-reports/malaysia-data-center-market-size-analysis
Malaysia Data Center Market Report Scope
Report Attributes
Details
Market Size (Investment)
USD 3.97 Billion (2029)
Market Size (Area)
883 Thousand Sq. Feet (2029)
Market Size (Power Capacity)
163 MW (2029)
CAGR Investment (2023-2029)
13.92 %
Colocation Market Size (Revenue)
USD 1.23 Billion (2029)
Historic Year
2020-2022
Base Year
2023
Forecast Year
2024-2029
Over the next few years, Malaysia is poised to witness significant growth in data center investments, driven by the influx of operators like AirTrunk, Equinix, Princeton Digital Group, and other leading companies. Key hubs like Cyberjaya, Kuala Lumpur, and Johor Bahru are expected to see heightened activity, hosting most of the country’s data centers.
The wholesale colocation sector is projected to experience a revenue surge fueled by major cloud players like Microsoft, Google, and AWS. These companies have unveiled plans to establish dedicated cloud regions within Malaysia, with expected timelines for deployment within the next one to two years. This trend underscores Malaysia’s growing importance as a regional hub for data infrastructure and cloud services.
Malaysia is among the top expensive markets globally for developing data centers. Malaysia’s data center construction cost in 2023 stood at about $8.5-$10 million per MW, making it the costliest market in the APAC region after Singapore and Jakarta.
Investment Opportunities in the Malaysia Data Center Market
In November 2023, ST Telemedia Global Data Centres announced its plans to develop a new data center campus in Johor. The construction of the first building is likely to begin soon and become operational by 2025. The company formed a joint venture with Basis Bay to develop a new data center campus with two buildings, Cyberjaya DC.2 and STT Kuala Lumpur 1 in Cyberjaya, Selangor.In October 2023, EDGNEX Data Centres by DAMAC announced its plans to enter the APAC market for the first time; the company is considering a facility in Cyberjaya, Selangor. The expected investment can cross the $52 million mark.In October 2023, Infinaxis Data Centre Holdings, the joint venture between Gaw Capital Partners and A3 Capital, announced the construction of its first data center facility in Cyberjaya. The facility will have 10 data halls and will likely be operational by Q2 2025.In September 2023, EdgeConneX announced its plans to expand its footprint in Malaysia with the development of three data centers sites across Bukit Jalil, Kuala Lumpur, and Cyberjaya. The company plans to develop data centers in partnership with Cyberview.To Know More, Download the Free Sample Report: https://www.arizton.com/market-reports/malaysia-data-center-market-size-analysis
Market Trends
According to IRENA, in 2022, hydroenergy accounted for around 69% of the renewable energy capacity in Malaysia, followed by solar energy, which contributed about 21%, along with a 10% contribution by bioenergy.Malaysia aims to achieve the target of net-zero carbon emissions by 2050. To make this goal a reality, WWF-Malaysia is partnering with Boston Consulting Group to develop an independent joint study on the country’s optimal net zero pathway.The government of Malaysia has established a green tariff scheme to support its carbon-neutrality target. Under the scheme, subscribers can get electricity from solar or hydro sources instead of fossil fuel sources.Mergers, acquisitions, joint ventures, and partnerships are key strategies employed by operators to expand their portfolios and global footprint. For example:
In December 2023, Chindata Group merged with BCPE Chivalry Merger Sub, a wholly owned subsidiary of BCPE Chivalry Bidco, completing its transition to a private company from a public one.November 2023 saw ST Telemedia Global Data Centres, in a joint venture with Basis Bay, announcing plans to develop a new data center campus with two buildings in Cyberjaya, Selangor.A3 Capital and Gaw Capital Partners formed a joint venture in February 2023 to establish Infinaxis Data Centre Holdings to develop and operate data centers across Malaysia and Southeast Asia.MN Holdings, an engineering services and solutions company, signed a Memorandum of Understanding (MoU) in April 2023 with Shanghai DC-Science, outlining an investment of approximately $600 million to develop a data center site at the Sedenak Tech Park, Johor.Why Should You Buy This Research?
Market size is available regarding investment, area, power capacity, and Malaysia colocation market revenue.An assessment of the data center investment in Malaysia by colocation, hyperscale, and enterprise operators.Investments in the area (square feet) and power capacity (MW) across cities in the country.A detailed study of the existing Malaysia data center market landscape, an in-depth market analysis, and insightful predictions about market size during the forecast period.Snapshot of existing and upcoming third-party data center facilities in MalaysiaFacilities Covered (Existing): 34Facilities Identified (Upcoming): 33Coverage: 9 LocationsExisting vs. Upcoming (Area)Existing vs. Upcoming (IT Load Capacity)Data Center Colocation Market in MalaysiaColocation Market Revenue & Forecast (2023-2029)Wholesale vs. Retail Colocation Revenue (2023-2029)Retail Colocation PricingWholesale Colocation PricingThe Malaysia data center market investments are classified into IT, power, cooling, and general construction services with sizing and forecast.A comprehensive analysis of the latest trends, growth rate, potential opportunities, growth restraints, and prospects for the industry.Business overview and product offerings of prominent IT infrastructure providers, construction contractors, support infrastructure providers, and investors operating in the industry.A transparent research methodology and the analysis of the demand and supply aspects of the industry.Buy this Research @ https://www.arizton.com/market-reports/malaysia-data-center-market-size-analysis
Post-Purchase Benefit
1hr of free analyst discussion10% off on customizationThe Report Includes the Investment in the Following Areas:
IT InfrastructureServersStorage SystemsNetwork InfrastructureElectrical InfrastructureUPS SystemsGeneratorsSwitches & SwitchgearsPDUsOther Electrical InfrastructureMechanical InfrastructureCooling SystemsRack CabinetsOther Mechanical InfrastructureCooling SystemsCRAC and CRAHChillersCooling Tower and Dry CoolersOther Cooling UnitsGeneral ConstructionCore & Shell DevelopmentInstallation & Commissioning ServicesBuilding & Engineering DesignFire Detection & Suppression SystemsPhysical SecurityData Center Infrastructure Management (DCIM)Tier StandardTier I & Tier IITier IIITier IV GeographySelangorJohorOther StatesVendor Landscape
IT Infrastructure Providers
Cisco SystemsDell TechnologiesFujitsuHewlett Packard EnterpriseHuawei TechnologiesIBMInspurLenovoNetAppData Center Construction Contractors & Sub-Contractors
Advance Power EngineeringAsima ArchitectsAVO TechnologyB-Global TechCTC-GlobalCSF GroupCyclect GroupDSCO GroupGamudaGCM TechnologiesHSS EngineersISGKienta Engineering ConstructionLSK EngineeringMES GroupM+W Group (Exyte)MN HoldingsNakanoNTT FACILITIESPowerware SystemsS5 EngineeringShaw ArchitectSunway Construction GroupUnique CentralSupport Infrastructure Providers
ABBCaterpillarCumminsEatonFuji ElectricHITEC Power ProtectionKOHLER PowerLegrandMitsubishi ElectricNarada Power SourcePiller Power SystemsRittalRolls-RoyceSchneider ElectricSiemensSocomecSTULZTraneVertivData Center Investors
Bridge Data CentresEdge CentresGDS ServicesIRIX (PP TELECOMMUNICATION)Keppel Data CentresNTT DATAOpen DCTM OneVantage Data CentersYTL Data Center HoldingsNew Entrants
AirTrunkAmazon Web Services (AWS)EdgeConneXEquinixFutureData (Cyclect Group + TSG Group)Googlei-BerhadInfinaxis Data Centre HoldingsMN Holdings + Shanghai DC-ScienceMicrosoftNEXTDCPrinceton Digital GroupRegal OrionSingtelST Telemedia Global Data CentresYondrTo Know More, Download the Free Sample Report: https://www.arizton.com/market-reports/malaysia-data-center-market-size-analysis
Key Questions Answered in the Report:
What factors are driving the Malaysian data center industry?
How big is the Malaysia data center market?
How many MW of power capacity will be added across Malaysia during 2024 to 2029?
What is the growth rate of the Malaysia data center market?
Which states are included in the Malaysia data center market report?
Get the Detailed TOC @ https://www.arizton.com/market-reports/malaysia-data-center-market-size-analysis
Check Out Some of the Top-Selling Research Reports:
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We offer comprehensive market research reports on consumer goods & retail technology, automotive and mobility, smart tech, healthcare, life sciences, industrial machinery, chemicals, materials, I.T. and media, logistics, and packaging. These reports contain detailed industry analysis, market size, share, growth drivers, and trend forecasts.
Arizton comprises a team of exuberant and well-experienced analysts who have mastered generating incisive reports. Our specialist analysts possess exemplary skills in market research. We train our team in advanced research practices, techniques, and ethics to outperform in fabricating impregnable research reports.
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