Abstract
The market for optical networking has been rising continuously and showing
signs of growing even in adverse market conditions. Ethernet is a major cause
behind the growing industry demand. In United States, the market has a
stronghold, as there are large number of mobile internet users and high
household internet penetration. China is a developing market and offers
potential opportunity for the optical networking equipment suppliers.
The current macroeconomic environment did not affect much of spending on WDM
and submarine demand. The submarine fiber optics systems market is being
driven by the record growth of the Internet, new devices and broadband
services. Regulatory interventions make this market highly sensitive as
barriers to entry are high. Also regional players make the competition
difficult for the outside suppliers.
The telecom bubble burst has given a further push to the optical networking
industry by making a strong market for metro WDM equipment. Another
significant driver of fundamental growth is the underlying technology shift
within the network. As a result, while overall growth may be stagnant, growth
within the next generation technologies is positive. Rising demand of IPTV and
increasing broadband connections are driving the industry demand.
The report discusses underlying opportunities for global optical networking
equipment industry with an overview of its market segments. It analyses
present metro WDM and SONET markets and future growth in reference to the
technological advancements. It talks about total addressable market for
optical components with compound growth rate of previous years. The report
also discusses factors driving industry growth. It also gives an overview of
major industry trends and profiles major industry players with an overview of
their business strategies.
The report also talks about the future outlook of the industry and its growth.
By combining SPSS Inc.' s data integration and analysis capabilities with our
relevant findings, we have predicted the future growth of the industry. We
employed various significant variables that have an impact on this industry
and created regression models with SPSS Base to determine the future direction
of the industry. Before deploying the regression model, the relationship
between several independent or predictor variables and the dependent variable
was analyzed using standard SPSS output, including charts, tables and tests.
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