Growing industrial automation and need for M2M communication
Growing adoption of wearable electronics.
Lack of awareness and slower penetration in developing economies.
In February 2019, IDEMIA and Kudelski Group launched a global partnership to simplify IoT connectivity and security by integrating Kudelski’s IoT security platform into IDEMIA’s DAKOTA IoT (eUICC) and TSM solutions.
In December 2018, Redtea Mobile unveiled their new eSIM+ platform, which is the first platform by the company to leverage eSIM-enabled Apple iPhones.
Major industry players profiled as part of the report STMicroelectronics, Sierra Wireless, Oasis Smart SIM, Avnet, Inc., Gemalto, and Infineon Technologies AG.
The eUICC market has been analyzed through following segments:
Smartphones, Tablets and Smartwatches
Middle East and Africa
1.1. Market Overview
1.2. Market Definition
1.3. Scope of the Study
1.6. Base, and Forecast Years Timeline
2. RESEARCH METHODOLOGY
2.1. Research Design
2.2. Secondary Sources
3. EXECUTIVE SUMMARY
4. MARKET DYNAMICS
4.1. Market Segmentation
4.2. Market Drivers
4.3. Market Restraints
4.4. Market Opportunities
4.5. Porter's Five Forces Analysis
4.5.1. Bargaining Power of Suppliers
4.5.2. Bargaining Power of Buyers
4.5.3. Threat of New Entrants
4.5.4. Threat of Substitutes
4.5.5. Competitive Rivalry in the Industry
4.6. Life Cycle Analysis - Regional Snapshot
4.7. Market Attractiveness
5. ELECTRONIC UNIVERSAL CIRCUIT CARD (EUICC) MARKET FORECAST BY END-USE
5.1. Smartphones, Tablets And Smartwatches
6. ELECTRONIC UNIVERSAL CIRCUIT CARD (EUICC) MARKET FORECAST BY GEOGRAPHY
6.1. North America
6.2. South America
6.4. Middle East And Africa
6.5. Asia Pacific
7. COMPETITIVE INTELLIGENCE
7.1. Competitive Benchmarking and Analysis
7.2. Recent Investments and Deals
7.3. Strategies of Key Players
8. COMPANY PROFILES
8.2. Sierra Wireless
8.3. Oasis Smart Sim
8.4. Avnet, Inc.
8.5. Gemalto NV
8.6. Infineon Technologies AG
The research study is based on the publisher's proprietary research model. The process involves sourcing of information from various industry experts, key professionals, decision-makers and various other stakeholders along with the validation of the responses received from the vast in-house database and premium paid databases. Publicly available sources were also taken into consideration for the final market estimates and forecast for the segments and sub-segments.
The first phase of the research process is the identification of key industry leaders, experts, decision-makers and C-level executives and then conducting interviews and surveys to gain vital insights about the market. Simultaneously, extensive secondary research is done, and key secondary data is collected as part of this process. This secondary data is collected from various databases, industry journals, whitepapers, company annual reports, research publications, and other paid data sources and relevant literature. Company profiles which include strategies, new product developments, recent investments, major products and services, financials and business plans are sourced from the annual reports, SEC filings, industry associations to preserve the quality of the information being displayed. The findings from both the primary and the secondary research process combined go under further processing for market breakdown and forecasting.
The last phase is providing intelligence in the form of presentation, charts, graphics and other different formats helping the clients in a faster and efficient understanding of the market. Under this phase complete market engineering is involved which includes analyzing the collected data from different sources and existing proprietary datasets while using various data triangulation methods for market breakdown and forecasting. The publisher has developed their market forecasting methodology that, in addition to the main market values, also takes into account other macroeconomic factors (global or local) that might have some bearing on the market under study. Taking all the necessary data, a robust forecast is developed using an algorithm that involves both static (multivariate) as well as dynamic (time-series) regression analysis. Special care is taken to make sure their algorithm passes the necessary statistical tests, and the mean prediction for future years obtained is reliable with a very high confidence level. Following data validation, the analysts begin to write the report presenting insights with the help of charts, graphs, and tables.