Report Summary
Eternity Insights can provide a deep dive research report highlighting the market and competitive in-telligence across the key segments of the market. The report also considers the impact of COVID-19 on the global Personalization Engines market. The report considers 2018-2020 historic period, 2021 as base year, and 2022-2028 as forecast period. The report includes quantitative analysis of the market supported by the mar-ket drivers, challenges, and trends to accurately map the market scenario and competition.
Personalization Engines market report is based on robust research methodology designed using blend of research ap-proaches developed using secondary/desk research and validated through the primary research and expert insights. Eternity Insights also uses paid data bases such as FACIVA, Hoovers, and other bench-marking and forecasting tools to provide accurate statistical analysis of supply and demand trends.
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Key Research Highlights: Market Drivers
The Personalization Engines market is estimated to expand at a considerable growth rate during the forecast period ow-ing to increasing prevalence of venous diseases and increasing new product approvals to cater this demand. Rise in the awareness about the diseases, increasing importance of early diagnosis, and growing spending on chronic diseases are poised to boost the market growth. Moreover, the key players in the market are investing in research and development of technologically advanced products leading to increased utilization of the Personalization Engines products across developed and developing countries of the world.
Key Research Highlights: Market Restrains
Limited awareness about the diseases, high cost of products, low economical condition, and lack of favorable insurance systems restricts the adoption of Personalization Engines products across developing regions of the globe. However, launch of new products with low cost and increasing efforts for market penetration in these regions can offer lucrative growth opportunities for the players in the Personalization Engines market.
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Key Research Highlights: Trends
Increasing research and development spending on Personalization Engines development has been the leading industry trend of Personalization Engines market
The leading players in the market are focused on developing products which are cost effective and high quality to tap the huge unaddressed opportunities in the developing regions. This can be wit-nessed from the increasing spending on research and development and growing number of new product approvals.
Global Personalization Engines Market Size, 2018-2028 (USD MILLION)
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Market Segmentation
| Report Attributes |
Details |
| The market size value in 2021 |
USD XX.XX Million |
| CAGR (2021 - 2028) |
XX.XX % |
| The Revenue forecast in 2028 |
USD XX.XX Million |
| Base year for estimation |
2021 |
| Historical data |
2018-2019 |
| Forecast period |
2022-2028 |
| Quantitative units |
- Revenue in USD Million
- CAGR from 2021 to 2028
|
| Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments covered |
By Type Outlook, Application Outlook, Regional Outlook |
| By Type Outlook |
Collaborative filtering, Content-based filtering, Hybrid recommendation, Other |
| By Application Outlook |
Manufacturing, Healthcare, BFSI, Media and entertainment, Transportation, Others (telecom, energy and utilities, manufacturing, and education) |
| Regional scope |
North America, Europe, Asia Pacific, Latin America, Middle East & Africa |
| Country scope |
U.S., Canada, U.K., Germany, France, BENELUX, China, India, Japan, South Korea, Brazil, Saudi Arabia, UAE, Turkey |
| Key companies profiled |
Acquia, Adobe, BloomReach, Boxever, Certona, DynamicYield, Emarsys, Episerver, Evergage, IBM, IgnitionOne, Monetate, Oracle, Qubit, Reflektion, RichRelevance, SAS, Strands |
| Customization Available |
Yes, the report can be tailored to meet your specific requirements. |
Key Market Players
- Acquia
- Adobe
- BloomReach
- Boxever
- Certona
- DynamicYield
- Emarsys
- Episerver
- Evergage
- IBM
- IgnitionOne
- Monetate
- Oracle
- Qubit
- Reflektion
- RichRelevance
- SAS
- Strands
Personalization Engines Market, By Type
- Collaborative filtering
- Content-based filtering
- Hybrid recommendation
- Other
Personalization Engines Market, By Application
- Manufacturing
- Healthcare
- BFSI
- Media and entertainment
- Transportation
- Others (telecom
- energy and utilities
- manufacturing
- and education)
Key Benefits To The Stake Holders
- Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
- Provision of market value (USD Billion) and volume (Tons) data for each segment and sub-segment
- Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
- Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
- Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions and acquisitions in the past five years of companies profiled
- Extensive company profiles comprising of company overview, company insights, product benchmarking and SWOT analysis for the major market players
- The current as well as the future market outlook of the industry with respect to recent developments (which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
Table Of Contents
Table of Contents
Global Personalization Engines Market by Manufacturers, Regions, Type and Application, Forecast to 2026
1 Report Overview
1.1 Definition and Specification
1.2 Report Overview
1.2.1 Manufacturers Overview
1.2.2 Regions Overview
1.2.3 Type Overview
1.2.4 Application Overview
1.3 Industrial Chain
1.3.1 Personalization Engines Overall Industrial Chain
1.3.2 Upstream
1.3.3 Downstream
1.4 Industry Situation
1.4.1 Industrial Policy
1.4.2 Product Preference
1.4.3 Economic/Political Environment
1.5 SWOT Analysis
2 Market Assessment by Type
2.1 Collaborative filtering Sales (K Units), Revenue (M USD) and Growth Rate 2015-2020
2.2 Content-based filtering Sales (K Units), Revenue (M USD) and Growth Rate 2015-2020
2.3 Hybrid recommendation Sales (K Units), Revenue (M USD) and Growth Rate 2015-2020
3 Asia Pacific Personalization Engines Market Assessment by Type
3.1 Asia Pacific Market Performance (Sales, Revenue)
3.2 Key Players in Asia Pacific
4 North America Personalization Engines Market Assessment by Type
4.1 North America Market Performance (Sales, Revenue)
4.2 Key Players in North America
5 Europe Personalization Engines Market Assessment by Type
4.1 Europe Market Performance (Sales, Revenue)
4.2 Key Players in Europe
6 South America Personalization Engines Market Assessment by Type
4.1 South America Market Performance (Sales, Revenue)
4.2 Key Players in South America
7 Middle Easr and Africa Personalization Engines Market Assessment by Type
4.1 Middle Easr and Africa Market Performance (Sales, Revenue)
4.2 Key Players in Middle Easr and Africa
8 World Personalization Engines Market Assessment by Type
8.1 Asia Pacific Personalization Engines Market Assessment by Application (Consumption and Market Share)
8.2 North America Personalization Engines Market Assessment by Application (Consumption and Market Share)
8.3 Europe Personalization Engines Market Assessment by Application (Consumption and Market Share)
8.4 South America Personalization Engines Market Assessment by Application (Consumption and Market Share)
8.5 Middle East and Africa Personalization Engines Market Assessment by Application (Consumption and Market Share)
9 Company Profiles/Analysis
9.1 Acquia
9.1.1 Acquia Profiles
9.1.2 Acquia Product Portfolio
9.1.3 Acquia Personalization Engines Business Performance
9.1.4 Acquia Personalization Engines Business Development and Market Status
9.2 Adobe
9.2.1 Adobe Profiles
9.2.2 Adobe Product Portfolio
9.2.3 Adobe Personalization Engines Business Performance
9.2.4 Adobe Personalization Engines Business Development and Market Status
9.3 BloomReach
9.3.1 BloomReach Profiles
9.3.2 BloomReach Product Portfolio
9.3.3 BloomReach Personalization Engines Business Performance
9.3.4 BloomReach Personalization Engines Business Development and Market Status
9.4 Boxever
9.4.1 Boxever Profiles
9.4.2 Boxever Product Portfolio
9.4.3 Boxever Personalization Engines Business Performance
9.4.4 Boxever Personalization Engines Business Development and Market Status
9.5 Certona
9.5.1 Certona Profiles
9.5.2 Certona Product Portfolio
9.5.3 Certona Personalization Engines Business Performance
9.5.4 Certona Personalization Engines Business Development and Market Status
9.6 DynamicYield
9.6.1 DynamicYield Profiles
9.6.2 DynamicYield Product Portfolio
9.6.3 DynamicYield Personalization Engines Business Performance
9.6.4 DynamicYield Personalization Engines Business Development and Market Status
9.7 Emarsys
9.7.1 Emarsys Profiles
9.7.2 Emarsys Product Portfolio
9.7.3 Emarsys Personalization Engines Business Performance
9.7.4 Emarsys Personalization Engines Business Development and Market Status
9.8 Episerver
9.8.1 Episerver Profiles
9.8.2 Episerver Product Portfolio
9.8.3 Episerver Personalization Engines Business Performance
9.8.4 Episerver Personalization Engines Business Development and Market Status
9.9 Evergage
9.9.1 Evergage Profiles
9.9.2 Evergage Product Portfolio
9.9.3 Evergage Personalization Engines Business Performance
9.9.4 Evergage Personalization Engines Business Development and Market Status
9.10 IBM
9.10.1 IBM Profiles
9.10.2 IBM Product Portfolio
9.10.3 IBM Personalization Engines Business Performance
9.10.4 IBM Personalization Engines Business Development and Market Status
9.11 IgnitionOne
9.12 Monetate
9.13 Oracle
9.14 Qubit
9.15 Reflektion
9.16 RichRelevance
9.17 SAS
9.18 Strands
10 World Personalization Engines Market Assessment by Players
10.1 Global Personalization Engines Sales (K Units) and Market Share by Players 2015-2020
10.2 Global Personalization Engines Revenue (M USD) and Market Share by Players 2015-2020
10.3 Global Personalization Engines Price (USD/Unit) of Players 2015-2020
10.4 Global Personalization Engines Gross Margin of Players 2015-2020
10.5 Market Concentration
11 Regional Market Performance by Segment of Players
11.1 North America
11.1.1 North America Personalization Engines Sales Assessment of Players 2015-2020
11.1.2 North America Personalization Engines Revenue Assessment of Players 2015-2020
11.1.3 North America Personalization Engines Price Assessment of Players 2015-2020
11.1.4 North America Personalization Engines Gross Margin Assessment of Players 2015-2020
11.1.5 Market Concentration
11.2 Europe
11.2.1 Europe Personalization Engines Sales Assessment of Players 2015-2020
11.2.2 Europe Personalization Engines Revenue Assessment of Players of Manufacturers 2015-2020
11.2.3 Europe Personalization Engines Price Assessment of Players 2015-2020
11.2.4 Europe Personalization Engines Gross Margin Assessment of Players 2015-2020
11.2.5 Market Concentration
11.3 Asia-Pacific Market Performance for Manufacturers
11.3.1 Asia-Pacific Personalization Engines Sales Assessment of Players 2015-2020
11.3.2 Asia-Pacific Personalization Engines Revenue Assessment of Players 2015-2020
11.3.3 Asia-Pacific Personalization Engines Price Assessment of Players 2015-2020
11.3.4 Asia-Pacific Personalization Engines Gross Margin Assessment of Players 2015-2020
11.3.5 Market Concentration
11.4 South America Market Performance for Players
11.4.1 South America Personalization Engines Sales Assessment of Players 2015-2020
11.4.2 South America Personalization Engines Revenue Assessment of Players 2015-2020
11.4.3 South America Personalization Engines Price Assessment of Players 2015-2020
11.4.4 South America Personalization Engines Gross Margin Assessment of Players 2015-2020
11.4.5 Market Concentration
11.5 Middle East and Africa Market Performance for Players
11.5.1 Middle East and Africa Personalization Engines Sales Assessment of Players 2015-2020
11.5.2 Middle East and Africa Personalization Engines Revenue Assessment of Players 2015-2020
11.5.3 Middle East and Africa Personalization Engines Price Assessment of Players 2015-2020
11.5.4 Middle East and Africa Personalization Engines Gross Margin Assessment of Players 2015-2020
11.5.5 Market Concentration
12 Regional Market Performance by Segment of Countries
12.1 Asia Pacific
12.1.1 Asia Pacific Personalization Engines Sales by Countries/Regions 2015-2020
12.1.2 Asia Pacific Personalization Engines Revenue by Countries/Regions 2015-2020
12.1.3 Asia Pacific Personalization Engines Average Price by Countries/Regions 2015-2020
12.2 North America
12.2.1 North America Personalization Engines Sales by Countries/Regions 2015-2020
12.2.2 North America Personalization Engines Revenue by Countries/Regions 2015-2020
12.2.3 North America Personalization Engines Average Price by Countries/Regions 2015-2020
12.3 Europe
12.3.1 Europe Personalization Engines Sales by Countries/Regions 2015-2020
12.3.2 Europe Personalization Engines Revenue by Countries/Regions 2015-2020
12.3.3 Europe Personalization Engines Average Price by Countries/Regions 2015-2020
12.4 South America
12.4.1 South America Personalization Engines Sales by Countries/Regions 2015-2020
12.4.2 South America Personalization Engines Revenue by Countries/Regions 2015-2020
12.4.3 South America Personalization Engines Average Price by Countries/Regions 2015-2020
12.5 Middle East and Africa
12.5.1 Middle East and Africa Personalization Engines Sales by Countries/Regions 2015-2020
12.5.2 Middle East and Africa Personalization Engines Revenue by Countries/Regions 2015-2020
12.5.3 Middle East and Africa Personalization Engines Average Price by Countries/Regions 2015-2020
13 Technology and Opportunity
13.1 Technology
13.2 Market Opportunity
14 World Personalization Engines Sales & Revenue Forecast 2021-2026
14.1 World Personalization Engines Sales and Revenue Forecast by Regions 2021-2026
14.1.1 World Personalization EnginesSales and Market Share by Regions
14.1.2 World Personalization EnginesRevenue and Market Share by Regions
15 Asia Personalization Engines Market Forecast 2021-2026
15.1 Sales and Revenue (M USD) Forecast by Type, 2021-2026
15.1.1 Collaborative filtering
15.1.2 Content-based filtering
15.1.3 Hybrid recommendation
15.2 Consumption Forecast by Application, 2021-2026
16 North America Personalization Engines Market Forecast 2021-2026
16.1 Sales and Revenue (M USD) Forecast by Type, 2021-2026
16.1.1 Collaborative filtering
16.1.2 Content-based filtering
16.1.3 Hybrid recommendation
16.2 Consumption Forecast by Application, 2021-2026
17 Europe Personalization Engines Market Forecast 2021-2026
17.1 Sales and Revenue (M USD) Forecast by Type, 2021-2026
17.1.1 Collaborative filtering
17.1.2 Content-based filtering
17.1.3 Hybrid recommendation
17.2 Consumption Forecast by Application, 2021-2026
18 South America Personalization Engines Market Forecast 2021-2026
18.1 Sales and Revenue (M USD) Forecast by Type, 2021-2026
18.1.1 Collaborative filtering
18.1.2 Content-based filtering
18.1.3 Hybrid recommendation
18.2 Consumption Forecast by Application, 2021-2026
19 Middle East and Africa Personalization Engines Market Forecast 2021-2026
19.1 Sales and Revenue (M USD) Forecast by Type, 2021-2026
19.1.1 Collaborative filtering
19.1.2 Content-based filtering
19.1.3 Hybrid recommendation
19.2 Consumption Forecast by Application, 2021-2026
20 Price (USD/Unit) and Gross Profit Forecast
20.1 Global Personalization Engines Price (USD/Unit) Trend 2021-2026
20.2 Global Personalization Engines Gross Profit Trend 2021-2026
21 Conclusion
