Report

Global Temperature Sensor Market Size study, by Product Type (Contact Temperature sensor, Non-contact Temperature sensors), by Output (Analog, digital), by connectivity (Wireless (Wi-fi) and wired), by Material Used (Polymer, Ceramic, Platinum Resistance Temperature Detectors, Nickel chromium/nickel aluminum (CODE K), Nickel chromium/constantan (code e), Iron/constantan (code j), Nickel molybdenum-nickel cobalt thermocouples (type m), Nicrosil/Nisil (code n), copper/constantan (code t), Others) and Regional Forecasts 2021-2027

  • Publish Date: Mar,2022
  • Report ID: QI037
  • Page : 250
  • Report Type : PDF (Email)
Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Recommendation Engine Market , by Region, 2019-2027 (USD Billion)
1.2.2. Recommendation Engine Market , by Product Type, 2019-2027 (USD Billion)
1.2.3. Recommendation Engine Market , by Deployment , 2019-2027 (USD Billion)
1.2.4. Recommendation Engine Market , by Application, 2019-2027 (USD Billion)
1.2.5. Recommendation Engine Market, by Organization, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Recommendation Engine Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Recommendation Engine Market Dynamics
3.1. Recommendation Engine Market Impact Analysis (2019-2027)
3.1.1. Market Drivers
3.1.1.1. Growing adoption of digital technologies among organizations
3.1.1.2. Increase in need to enhance customer experience
3.1.2. Market Restraint
3.1.2.1. Increase in concerns over the customers' personal information
3.1.3. Market Opportunities
3.1.3.1. Advancements in data analytics
Chapter 4. Global Recommendation Engine Market Industry Analysis
4.1. Porter's 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter's 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Recommendation Engine Market , by Product Type
5.1. Market Snapshot
5.2. Global Recommendation Engine Market by Product Type, Performance - Potential Analysis
5.3. Global Recommendation Engine Market Estimates & Forecasts by Product Type 2018-2027 (USD Billion)
5.4. Recommendation Engine Market , Sub Segment Analysis
5.4.1. Collaborative Filtering
5.4.2. Content-based Filtering
5.4.3. Hybrid Recommendation
Chapter 6. Global Recommendation Engine Market , by Deployment
a. Market Snapshot
6.1. Global Recommendation Engine Market by Deployment , Performance - Potential Analysis
6.2. Global Recommendation Engine Market Estimates & Forecasts by Deployment 2018-2027 (USD Billion)
6.3. Recommendation Engine Market , Sub Segment Analysis
6.3.1. On-premise
6.3.2. Cloud
Chapter 7. Global Recommendation Engine Market , by Application
b. Market Snapshot
7.1. Global Recommendation Engine Market by Application, Performance - Potential Analysis
7.2. Global Recommendation Engine Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
7.3. Recommendation Engine Market , Sub Segment Analysis
7.3.1. Personalized Campaigns and Customer Delivery
7.3.2. Strategy Operations and Planning
7.3.3. Product Planning and Proactive Asset Management
Chapter 8. Global Recommendation Engine Market , by Organization
c. Market Snapshot
8.1. Global Recommendation Engine Market by Deployment , Performance - Potential Analysis
8.2. Global Recommendation Engine Market Estimates & Forecasts by Deployment 2018-2027 (USD Billion)
8.3. Recommendation Engine Market , Sub Segment Analysis
8.3.1. SMEs
8.3.2. Large Enterprises
Chapter 9. Global Recommendation Engine Market , by End-use
d. Market Snapshot
9.1. Global Recommendation Engine Market by Deployment , Performance - Potential Analysis
9.2. Global Recommendation Engine Market Estimates & Forecasts by Deployment 2018-2027 (USD Billion)
9.3. Recommendation Engine Market , Sub Segment Analysis
9.3.1. Information Technology
9.3.2. Healthcare
9.3.3. Retail
9.3.4. BFSI
9.3.5. Media & Entertainment
9.3.6. Others
Chapter 10. Global Recommendation Engine Market , Regional Analysis
10.1. Recommendation Engine Market , Regional Market Snapshot
10.2. North America Recommendation Engine Market
10.2.1. U.S. Recommendation Engine Market
10.2.1.1. Product Type breakdown estimates & forecasts, 2018-2027
10.2.1.2. Deployment breakdown estimates & forecasts, 2018-2027
10.2.1.3. Application breakdown estimates & forecasts, 2018-2027
10.2.1.4. Organization breakdown estimates & forecasts, 2018-2027
10.2.1.5. End Use breakdown estimates & forecasts, 2018-2027
10.2.2. Canada Recommendation Engine Market
10.3. Europe Recommendation Engine Market Snapshot
10.3.1. U.K. Recommendation Engine Market
10.3.2. Germany Recommendation Engine Market
10.3.3. France Recommendation Engine Market
10.3.4. Spain Recommendation Engine Market
10.3.5. Italy Recommendation Engine Market
10.3.6. Rest of Europe Recommendation Engine Market
10.4. Asia-Pacific Recommendation Engine Market Snapshot
10.4.1. China Recommendation Engine Market
10.4.2. India Recommendation Engine Market
10.4.3. Japan Recommendation Engine Market
10.4.4. Australia Recommendation Engine Market
10.4.5. South Korea Recommendation Engine Market
10.4.6. Rest of Asia Pacific Recommendation Engine Market
10.5. Latin America Recommendation Engine Market Snapshot
10.5.1. Brazil Recommendation Engine Market
10.5.2. Mexico Recommendation Engine Market
10.6. Rest of The World Recommendation Engine Market
Chapter 11. Competitive Intelligence
11.1. Top Market Strategies
11.2. Company Profiles
11.2.1. IBM
11.2.1.1. Key Information
11.2.1.2. Overview
11.2.1.3. Financial (Subject to Data Availability)
11.2.1.4. Product Summary
11.2.1.5. Recent Developments
11.2.2. Google
11.2.3. AWS
11.2.4. Microsoft
11.2.5. Salesforce
11.2.6. Sentient Technologies
11.2.7. HPE
11.2.8. Oracle
11.2.9. Intel
11.2.10. SAP
Chapter 12. Research Process
12.1. Research Process
12.1.1. Data Mining
12.1.2. Analysis
12.1.3. Market Estimation
12.1.4. Validation
12.1.5. Publishing
12.2. Research Attributes
12.3. Research Assumption