ヒューマンセントリックライティング (HCL：Human Centric Lighting) の世界市場予測：2018-2028年
Human Centric Lighting Global Market Forecast 2018-2028
|ヒューマンセントリックライティング (HCL：Human Centric Lighting) の世界市場予測：2018-2028年|
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当レポートでは、世界におけるヒューマンセントリックライティング (HCL：Human Centric Lighting) 市場について調査し、地域別による市場予測、および主要企業のプロファイルなどを提供しています。
10-year global market forecast of modules/devices in LED-based Human Centric Lighting
Human Centric Lighting, also sometimes referred to as Biodynamic Light or Circadian Lighting, is the next development stage in the evolution of lighting and luminaire design; this report provides estimates and forecasts, based on market research study work performed by ElectroniCast Consultants.
Human Centric Lighting (HCL) is aimed to mimic (closely imitate) the natural color of daylight, which stimulates the production of melatonin and serotonin which control the physical, mental and behavioral changes that follow a roughly 24-hour cycle, responding primarily to light and darkness in a person, or their circadian rhythm.
The module/device hardware covered in this study are used for stationary/fixed locations (non-vehicle or non-portable) solid-state general lighting applications.
The market data are segmented into the following regions; separate data-sections are provided for the following regions:
ElectroniCast provides this market forecast for product hardware that are initially and primarily used with Human Centric Lighting as the primary objective and initial consideration, as detailed in Table 1.
Light Engines A light engine is the LED equivalent of a conventional lamp. It normally consists of a LED chip mounted on a circuit board that has electrical and mechanical fixings, meaning it is ready to be fixed in the luminaire. Note that the light engine may not consist of only one chip; it may be an array of several chips, sometimes with a phosphor coating. ElectroniCast includes the following in the Light Engine category: driver, array, and power supply; however, excludes external wiring harnesses.
Light Engine Driver segmentation -
DALI Driver Control Interface - Digital Addressable Lighting Interface (DALI) is a trademark for network-based systems that control lighting in building automation. The underlying technology was established by a consortium of lighting equipment manufacturers as a successor for 0-10 V lighting control systems, and as an open standard alternative to Digital Signal Interface (DSI), on which it is based. DALI is specified by technical standards.
DMX Driver Control Interface - (Digital Multiplex) is a standard for digital communication networks. It was originally intended as a standardized method for controlling light dimmers, which, prior to DMX512, had employed various incompatible proprietary protocols.
Other or Proprietary - Other control interface units, which are not DALI or DMX-based.
Sensors - Typically, lighting control sensors features include motion detection, light- level detection and IR receive (remote controlling). Each of these features can be operated at the same time, allowing automation scenarios such as turning on the lights after detecting motion and then dimming the lighting level once the available sunlight has been measured, thereby providing additional energy savings.
Color Control, Digital Dimming and Switches Control Units - These control capabilities are provided in separate stand-alone or combined units.
Note: Software is discussed in this report; however, software values are not counted in the market data
Market Forecast, By Function
This report provides the 2018-2028 market data review and forecast by the following functions:
The consumption (use) value is determined by multiplying the number of lighting units by the average selling price (ASP) in US Dollars. The average selling prices are not retail prices; the prices are based on the price of the product at the initial factory level. These are the original manufacturer's ("factory") prices invoiced to the first (original) customer, or transfer prices for internal (captive) production.
Market Forecast by Applications:
Market analysis and technology forecasting are complex tasks. Any predictions of the shape and trends of technology and economic movement start from the notion that the germ of what will be important tomorrow is present, although smaller or larger or in a different form, in our environment today. However, taking as a basis for a prediction the assumptions of current, conventional belief creates a set of preconceived notions that can lead to serious mistakes. ElectroniCast, instead, looks to the basic driving forces.
The future market for the use of a particular type of Human Centric Lighting solutions depends on a number of factors, including: User equipment demand, for example - applications: intelligent/smart buildings, retail store/shopping and hospitality, as well as schools/education and others to push market demand. Also, energy efficiency requirements and government regulations/laws/mandates/low carbon footprint, future-proofing (design and in technology), economy and investment community, product life cycles, competing technologies/solutions, cost/benefit ratios, requirements driven by Internet of Things (IoT), intelligent/digital building lighting controls, and others. Additionally, environment and awareness of health and alertness benefits in HCL, mood lighting, and other smart lighting solutions.
Information Base This study is based on analysis of information obtained continually since 2002 through our research regarding LED lighting solutions, but updated through the middle of January 2019 - specifically addressing the solid-state lighting (SSL) Human Centric Lighting (HCL) market attractiveness. During this period, ElectroniCast analysts performs interviews with authoritative and representative individuals in the LED manufacturing (materials, chips, packaging, devices, associated parts/pieces, fittings/ fixtures - luminaires) and building/facility management, local/state and federal government policy and management, LED driver IC and micro-controllers, product distributors, building management, import/export, and other. The interviews were conducted principally with:
The interviews covered issues of technology, R&D support, pricing, contract size, reliability, documentation, installation/maintenance crafts, standards, supplier competition and other topics.
Customers and distributors also were interviewed, to obtain their estimates of quantities received and average prices paid. Customer estimates of historical and expected near term future growth of their application are obtained. Their views of use of new technology products were obtained.
At ElectroniCast, analysts then considered customer expectations of near-term growth in their application, plus forecasted economic payback of investment, technology trends and changes in government regulations, to derive estimated growth rates of quantity and price of each product subset in each application. These forecasted growth rates are combined with the estimated baseline data to obtain the long-range forecasts at the lowest detailed level of each product and application.
A full review of published information was also performed to supplement information obtained through interviews. The following sources were reviewed:
In analyzing and forecasting the complexities of the regional markets for light emitting diode products, it is essential that the market research team have a good and a deep understanding of the technology and of the industry. ElectroniCast members who participated in this report were qualified.
Cross-Correlation Increases Accuracy The quantities of packaged LEDs, LED Driver ICs, LED materials/wafer/die/chips, LED Lamps and LED fixtures (luminaire) and other LED-based components, manufacturing processes/quality control/yields, and end-use products used in a particular application are interrelated. Since ElectroniCast conducts annual analysis and forecast updates in each LED component field, accurate current quantity estimates are part of the corporate database. These quantities are cross-correlated as a "sanity check".
ElectroniCast has conducted extensive research and updated their forecasts of several LED lighting categories. As technology and applications have advanced, the number of component subsets covered by the forecasts has expanded impressively.
The calculation and analysis data spreadsheet technique is based upon input/output analysis, leveraging the quantitative consumption quantity, price and value of each item in each application at all levels to achieve reasonable quantitative conclusions; this interactive analysis concept, first applied on a major scale by Leonteff, of the US Department of Commerce, in the mid-1950s, was then adopted successfully by analyst/forecasting firms Quantum Science, Gnostic Concepts and (in 1981) by ElectroniCast.
Nature of the Data This report provides the consumption value, quantity and prices of SSL-based modules/devices, which are used in various settings (end-user locations - applications) - worldwide. The following details are important in interpreting the data presented in the study results/report:
The quantitative forecasts and value calculations for the SSL (currently LEDs, but eventually OLEDs may play a role) lighting modules/devices, as well as studying average selling price market data and trends. Global Market Forecast proceeded as follows:
Consumption Value : The consumption value of Human Centric Lighting (HCL) modules/devices is determined by the final application ("end-use") and ownership of that product. For example, a standalone LED Driver is produced in Europe and is then shipped to the United States and then used in the United States, will be shown in the database as a LED Lamp consumed (used) in the U.S.A. (not Europe).
Inventory Change The change in the monetary value of the inventory between two different accounting periods. The forecasting models predict this change rather than the absolute magnitudes of the inventory levels. Normally, this is the most volatile of all of the adjustments, and has several components: parts, work-in-process, finished goods, pipeline, and imported subassembly.
R&D (Research and Development) Noncapitalized labor, which is used for research, design engineering, manufacturing development, and start-up, costs of new production lines. It does not include capital equipment and associated setup costs, marketing support, or normal production support. It does include expense incurred while prototyping and developing a new process or production line.
Forecast Lighting Demand Growth Based on primary research (interviews and evaluations) with engineers and product planners, ElectroniCast can see ideas and then (eventually) concepts about 3-7 years before innovation solutions (products) are announced in the public domain. Once we feel confident that these ideas and concepts will become innovative solutions (new products), we set anticipated usage into the market forecast. Therefore, as we are looking as several years, many of the future products may not even be at the idea-stage yet. It is also important to note that ElectroniCast, in effect, forecast lighting demand growth, which will drive demand for increased capability/capacity SSL-based (solid-state lighting) components, modules/devices, fixtures (luminaire), and systems; therefore, we have expertise of what to look for.
Yes, the forecast will most likely change over the 10-year forecast period, as "sure-bet" products "flop" and innovation solutions enter the arena. ElectroniCast analysts have extensive experience at searching for and finding-out about these ideas-concepts-innovations and evaluating them.
Bottom-up Methodology ElectroniCast forecasts, as illustrated in the forecast data structure, are developed initially at the lowest detail level, then summed to successively higher levels. The background market research focuses on the estimated quantity of each HCL module/device of product used in the base year (2018), and the prices paid at the first transaction from the manufacturer. This forms the base year data.
ElectroniCast analysts then forecast the growth rates in component quantity use in each application, along with price trends, based on competitive, economic and technology forecast trends, and apply these to derive long term forecasts at the lowest application levels. The usage growth rate forecasts depend heavily on analysis of overall end user trends toward equipment usage and economic payback. Figure 1 further illustrates the research methodology regarding this study.