Global Recommendation Engines Market to Reach $11.1 Billion by 2027 – Yahoo Finance

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Abstract: What’s New for 2022? Global competitiveness and key competitor percentage market shares. Market presence across multiple geographies – Strong/Active/Niche/Trivial.

New York, Nov. 21, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Recommendation Engines Industry” – https://www.reportlinker.com/p06361198/?utm_source=GNW
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Global Recommendation Engines Market to Reach $11.1 Billion by 2027

In the changed post COVID-19 business landscape, the global market for Recommendation Engines estimated at US$1.6 Billion in the year 2020, is projected to reach a revised size of US$11.1 Billion by 2027, growing at a CAGR of 31.4% over the analysis period 2020-2027. Collaborative Filtering, one of the segments analyzed in the report, is projected to record a 30.1% CAGR and reach US$4.6 Billion by the end of the analysis period. Taking into account the ongoing post pandemic recovery, growth in the Content-Based Filtering segment is readjusted to a revised 31.4% CAGR for the next 7-year period.

The U.S. Market is Estimated at $468 Million, While China is Forecast to Grow at 30.2% CAGR

The Recommendation Engines market in the U.S. is estimated at US$468 Million in the year 2020. China, the world`s second largest economy, is forecast to reach a projected market size of US$1.9 Billion by the year 2027 trailing a CAGR of 30.2% over the analysis period 2020 to 2027. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 28.4% and 27.1% respectively over the 2020-2027 period. Within Europe, Germany is forecast to grow at approximately 22.1% CAGR.

Hybrid Recommendation Segment to Record 33.3% CAGR

In the global Hybrid Recommendation segment, USA, Canada, Japan, China and Europe will drive the 33.3% CAGR estimated for this segment. These regional markets accounting for a combined market size of US$335.3 Million in the year 2020 will reach a projected size of US$2.5 Billion by the close of the analysis period. China will remain among the fastest growing in this cluster of regional markets.

Select Competitors (Total 53 Featured) –
500Menu
Appsaya
ARTO Gallery
Ascentspark Software
Bizzy
CardCruncher
CollegeAI, Inc.
CRE Matrix
Dirask
Driverbase Inc.

Read the full report: https://www.reportlinker.com/p06361198/?utm_source=GNW

I. METHODOLOGY

II. EXECUTIVE SUMMARY

1. MARKET OVERVIEW
Influencer Market Insights
World Market Trajectories
Impact of Covid-19 and a Looming Global Recession
Recommendation Engine – Global Key Competitors Percentage
Market Share in 2020 (E)
Competitive Market Presence – Strong/Active/Niche/Trivial for
Players Worldwide in 2020 (E)

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS

4. GLOBAL MARKET PERSPECTIVE
Table 1: World Recent Past, Current & Future Analysis for
Recommendation Engines by Geographic Region – USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2018 through 2027 and % CAGR

Table 2: World 9-Year Perspective for Recommendation Engines by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets for Years 2019 & 2027

Table 3: World Recent Past, Current & Future Analysis for
Collaborative Filtering by Geographic Region – USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2018 through 2027 and % CAGR

Table 4: World 9-Year Perspective for Collaborative Filtering
by Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2019 & 2027

Table 5: World Recent Past, Current & Future Analysis for
Content-Based Filtering by Geographic Region – USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2018 through 2027 and % CAGR

Table 6: World 9-Year Perspective for Content-Based Filtering
by Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2019 & 2027

Table 7: World Recent Past, Current & Future Analysis for
Hybrid Recommendation by Geographic Region – USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2018 through 2027 and % CAGR

Table 8: World 9-Year Perspective for Hybrid Recommendation by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2019 & 2027

Table 9: World Recent Past, Current & Future Analysis for Cloud
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2018 through 2027 and
% CAGR

Table 10: World 9-Year Perspective for Cloud by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2019 & 2027

Table 11: World Recommendation Engines Market Analysis of
Annual Sales in US$ Million for Years 2012 through 2027

Table 12: World Recent Past, 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 Sales in US$ Million for Years 2018 through
2027 and % CAGR

Table 13: World 9-Year Perspective for On-Premise by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2019 & 2027

Table 14: World Recent Past, Current & Future Analysis for
Personalized Campaigns & Customer Delivery by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets – Independent Analysis of Annual Sales in US$
Million for Years 2018 through 2027 and % CAGR

Table 15: World 9-Year Perspective for Personalized Campaigns &
Customer Delivery by Geographic Region – Percentage Breakdown
of Value Sales for USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World for Years 2019 & 2027

Table 16: World Recent Past, Current & Future Analysis for
Product Planning & Proactive Asset Management by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Sales in
US$ Million for Years 2018 through 2027 and % CAGR

Table 17: World 9-Year Perspective for Product Planning &
Proactive Asset Management by Geographic Region – Percentage
Breakdown of Value Sales for USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World for Years 2019 & 2027

Table 18: World Recent Past, Current & Future Analysis for
Strategy Operations & Planning by Geographic Region – USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
Markets – Independent Analysis of Annual Sales in US$ Million
for Years 2018 through 2027 and % CAGR

Table 19: World 9-Year Perspective for Strategy Operations &
Planning by Geographic Region – Percentage Breakdown of Value
Sales for USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World for Years 2019 & 2027

Table 20: World Recent Past, Current & Future Analysis for
Retail by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2018 through
2027 and % CAGR

Table 21: World 9-Year Perspective for Retail by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2019 & 2027

Table 22: World Recent Past, Current & Future Analysis for
Information Technology by Geographic Region – USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2018 through 2027 and % CAGR

Table 23: World 9-Year Perspective for Information Technology
by Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2019 & 2027

Table 24: World Recent Past, Current & Future Analysis for
Media & Entertainment by Geographic Region – USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2018 through 2027 and % CAGR

Table 25: World 9-Year Perspective for Media & Entertainment by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2019 & 2027

Table 26: World Recent Past, Current & Future Analysis for
Healthcare by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2018 through
2027 and % CAGR

Table 27: World 9-Year Perspective for Healthcare by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2019 & 2027

Table 28: World Recent Past, Current & Future Analysis for BFSI
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2018 through 2027 and
% CAGR

Table 29: World 9-Year Perspective for BFSI by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2019 & 2027

Table 30: World Recent Past, 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 Sales in US$ Million for Years
2018 through 2027 and % CAGR

Table 31: World 9-Year Perspective for Other End-Uses by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2019 & 2027

III. MARKET ANALYSIS

UNITED STATES
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in the United States for 2020 (E)
Table 32: USA Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 33: USA 9-Year Perspective for Recommendation Engines by
Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 34: USA Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 35: USA 9-Year Perspective for Recommendation Engines by
Deployment – Percentage Breakdown of Value Sales for Cloud and
On-Premise for the Years 2019 & 2027

Table 36: USA Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 37: USA 9-Year Perspective for Recommendation Engines by
Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 38: USA Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 39: USA 9-Year Perspective for Recommendation Engines by
End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

CANADA
Table 40: Canada Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 41: Canada 9-Year Perspective for Recommendation Engines
by Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 42: Canada Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 43: Canada 9-Year Perspective for Recommendation Engines
by Deployment – Percentage Breakdown of Value Sales for Cloud
and On-Premise for the Years 2019 & 2027

Table 44: Canada Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 45: Canada 9-Year Perspective for Recommendation Engines
by Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 46: Canada Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 47: Canada 9-Year Perspective for Recommendation Engines
by End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

JAPAN
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in Japan for 2020 (E)
Table 48: Japan Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 49: Japan 9-Year Perspective for Recommendation Engines
by Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 50: Japan Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 51: Japan 9-Year Perspective for Recommendation Engines
by Deployment – Percentage Breakdown of Value Sales for Cloud
and On-Premise for the Years 2019 & 2027

Table 52: Japan Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 53: Japan 9-Year Perspective for Recommendation Engines
by Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 54: Japan Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 55: Japan 9-Year Perspective for Recommendation Engines
by End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

CHINA
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in China for 2020 (E)
Table 56: China Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 57: China 9-Year Perspective for Recommendation Engines
by Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 58: China Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 59: China 9-Year Perspective for Recommendation Engines
by Deployment – Percentage Breakdown of Value Sales for Cloud
and On-Premise for the Years 2019 & 2027

Table 60: China Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 61: China 9-Year Perspective for Recommendation Engines
by Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 62: China Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 63: China 9-Year Perspective for Recommendation Engines
by End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

EUROPE
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in Europe for 2020 (E)
Table 64: Europe Recent Past, Current & Future Analysis for
Recommendation Engines by Geographic Region – France, Germany,
Italy, UK and Rest of Europe Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2018 through 2027 and %
CAGR

Table 65: Europe 9-Year Perspective for Recommendation Engines
by Geographic Region – Percentage Breakdown of Value Sales for
France, Germany, Italy, UK and Rest of Europe Markets for Years
2019 & 2027

Table 66: Europe Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 67: Europe 9-Year Perspective for Recommendation Engines
by Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 68: Europe Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 69: Europe 9-Year Perspective for Recommendation Engines
by Deployment – Percentage Breakdown of Value Sales for Cloud
and On-Premise for the Years 2019 & 2027

Table 70: Europe Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 71: Europe 9-Year Perspective for Recommendation Engines
by Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 72: Europe Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 73: Europe 9-Year Perspective for Recommendation Engines
by End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

FRANCE
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in France for 2020 (E)
Table 74: France Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 75: France 9-Year Perspective for Recommendation Engines
by Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 76: France Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 77: France 9-Year Perspective for Recommendation Engines
by Deployment – Percentage Breakdown of Value Sales for Cloud
and On-Premise for the Years 2019 & 2027

Table 78: France Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 79: France 9-Year Perspective for Recommendation Engines
by Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 80: France Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 81: France 9-Year Perspective for Recommendation Engines
by End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

GERMANY
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in Germany for 2020 (E)
Table 82: Germany Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 83: Germany 9-Year Perspective for Recommendation Engines
by Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 84: Germany Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 85: Germany 9-Year Perspective for Recommendation Engines
by Deployment – Percentage Breakdown of Value Sales for Cloud
and On-Premise for the Years 2019 & 2027

Table 86: Germany Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 87: Germany 9-Year Perspective for Recommendation Engines
by Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 88: Germany Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 89: Germany 9-Year Perspective for Recommendation Engines
by End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

ITALY
Table 90: Italy Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 91: Italy 9-Year Perspective for Recommendation Engines
by Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 92: Italy Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 93: Italy 9-Year Perspective for Recommendation Engines
by Deployment – Percentage Breakdown of Value Sales for Cloud
and On-Premise for the Years 2019 & 2027

Table 94: Italy Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 95: Italy 9-Year Perspective for Recommendation Engines
by Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 96: Italy Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 97: Italy 9-Year Perspective for Recommendation Engines
by End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

UNITED KINGDOM
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in the United Kingdom for 2020 (E)
Table 98: UK Recent Past, Current & Future Analysis for
Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 99: UK 9-Year Perspective for Recommendation Engines by
Type – Percentage Breakdown of Value Sales for Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation
for the Years 2019 & 2027

Table 100: UK Recent Past, Current & Future Analysis for
Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 101: UK 9-Year Perspective for Recommendation Engines by
Deployment – Percentage Breakdown of Value Sales for Cloud and
On-Premise for the Years 2019 & 2027

Table 102: UK Recent Past, Current & Future Analysis for
Recommendation Engines by Application – Personalized Campaigns &
Customer Delivery, Product Planning & Proactive Asset
Management and Strategy Operations & Planning – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 103: UK 9-Year Perspective for Recommendation Engines by
Application – Percentage Breakdown of Value Sales for
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning
for the Years 2019 & 2027

Table 104: UK Recent Past, Current & Future Analysis for
Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 105: UK 9-Year Perspective for Recommendation Engines by
End-Use – Percentage Breakdown of Value Sales for Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses for the Years 2019 & 2027

REST OF EUROPE
Table 106: Rest of Europe Recent Past, Current & Future
Analysis for Recommendation Engines by Type – Collaborative
Filtering, Content-Based Filtering and Hybrid Recommendation –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 107: Rest of Europe 9-Year Perspective for Recommendation
Engines by Type – Percentage Breakdown of Value Sales for
Collaborative Filtering, Content-Based Filtering and Hybrid
Recommendation for the Years 2019 & 2027

Table 108: Rest of Europe Recent Past, Current & Future
Analysis for Recommendation Engines by Deployment – Cloud and
On-Premise – Independent Analysis of Annual Sales in US$
Million for the Years 2018 through 2027 and % CAGR

Table 109: Rest of Europe 9-Year Perspective for Recommendation
Engines by Deployment – Percentage Breakdown of Value Sales for
Cloud and On-Premise for the Years 2019 & 2027

Table 110: Rest of Europe Recent Past, Current & Future
Analysis for Recommendation Engines by Application –
Personalized Campaigns & Customer Delivery, Product Planning &
Proactive Asset Management and Strategy Operations & Planning –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 111: Rest of Europe 9-Year Perspective for Recommendation
Engines by Application – Percentage Breakdown of Value Sales
for Personalized Campaigns & Customer Delivery, Product
Planning & Proactive Asset Management and Strategy Operations &
Planning for the Years 2019 & 2027

Table 112: Rest of Europe Recent Past, Current & Future
Analysis for Recommendation Engines by End-Use – Retail,
Information Technology, Media & Entertainment, Healthcare, BFSI
and Other End-Uses – Independent Analysis of Annual Sales in
US$ Million for the Years 2018 through 2027 and % CAGR

Table 113: Rest of Europe 9-Year Perspective for Recommendation
Engines by End-Use – Percentage Breakdown of Value Sales for
Retail, Information Technology, Media & Entertainment,
Healthcare, BFSI and Other End-Uses for the Years 2019 & 2027

ASIA-PACIFIC
Recommendation Engines Market Presence – Strong/Active/Niche/
Trivial – Key Competitors in Asia-Pacific for 2020 (E)
Table 114: Asia-Pacific Recent Past, Current & Future Analysis
for Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 115: Asia-Pacific 9-Year Perspective for Recommendation
Engines by Type – Percentage Breakdown of Value Sales for
Collaborative Filtering, Content-Based Filtering and Hybrid
Recommendation for the Years 2019 & 2027

Table 116: Asia-Pacific Recent Past, Current & Future Analysis
for Recommendation Engines by Deployment – Cloud and On-Premise –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 117: Asia-Pacific 9-Year Perspective for Recommendation
Engines by Deployment – Percentage Breakdown of Value Sales for
Cloud and On-Premise for the Years 2019 & 2027

Table 118: Asia-Pacific Recent Past, Current & Future Analysis
for Recommendation Engines by Application – Personalized
Campaigns & Customer Delivery, Product Planning & Proactive
Asset Management and Strategy Operations & Planning –
Independent Analysis of Annual Sales in US$ Million for the
Years 2018 through 2027 and % CAGR

Table 119: Asia-Pacific 9-Year Perspective for Recommendation
Engines by Application – Percentage Breakdown of Value Sales
for Personalized Campaigns & Customer Delivery, Product
Planning & Proactive Asset Management and Strategy Operations &
Planning for the Years 2019 & 2027

Table 120: Asia-Pacific Recent Past, Current & Future Analysis
for Recommendation Engines by End-Use – Retail, Information
Technology, Media & Entertainment, Healthcare, BFSI and Other
End-Uses – Independent Analysis of Annual Sales in US$ Million
for the Years 2018 through 2027 and % CAGR

Table 121: Asia-Pacific 9-Year Perspective for Recommendation
Engines by End-Use – Percentage Breakdown of Value Sales for
Retail, Information Technology, Media & Entertainment,
Healthcare, BFSI and Other End-Uses for the Years 2019 & 2027

REST OF WORLD
Table 122: Rest of World Recent Past, Current & Future Analysis
for Recommendation Engines by Type – Collaborative Filtering,
Content-Based Filtering and Hybrid Recommendation – Independent
Analysis of Annual Sales in US$ Million for the Years 2018
through 2027 and % CAGR

Table 123: Rest of World 9-Year Perspective for Recommendation
Engines by Type – Percentage Breakdown of Value Sales for
Collaborative Filtering, Content-Based Filtering and Hybrid

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Source: https://news.google.com/__i/rss/rd/articles/CBMiWGh0dHBzOi8vZmluYW5jZS55YWhvby5jb20vbmV3cy9nbG9iYWwtcmVjb21tZW5kYXRpb24tZW5naW5lcy1tYXJrZXQtcmVhY2gtMTY1MjAwNDQ0Lmh0bWzSAWBodHRwczovL2ZpbmFuY2UueWFob28uY29tL2FtcGh0bWwvbmV3cy9nbG9iYWwtcmVjb21tZW5kYXRpb24tZW5naW5lcy1tYXJrZXQtcmVhY2gtMTY1MjAwNDQ0Lmh0bWw?oc=5

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