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レポート概要
| 新型コロナウイルス感染症とロシア・ウクライナ戦争の影響により、無作為化/治験供給管理のグローバル市場は 2022にxxxドルと推定され、2028年までにxxxドルの規模に達し、2022年から2028年の予測期間中にxxx%のCAGRで成長すると予測されています。 無作為化/治験供給管理のアメリカ市場は、2023年から2028年の予測期間中にxxx%のCAGRで、2022年xxxドルから2028年xxxドルに達すると推定されています。 無作為化/治験供給管理の中国市場は、2023年から2028年の予測期間中にxxx%のCAGRで、2022年xxxドルから2028年xxxドルに達すると推定されています。 無作為化/治験供給管理のヨーロッパ市場は、2023年から2028年の予測期間中にxxx%のCAGRで、2022年xxxドルから2028年xxxドルに達すると推定されています。 生産面において、本レポートは2017年から2022年までの無作為化/治験供給管理の生産、成長率、メーカー別市場シェア、地域別市場シェア、および2028年までの予測を調査しています。販売面において、本レポートは2017年から2022年までの地域別、企業別、タイプ別、アプリケーション別の無作為化/治験供給管理の売上および2028年までの予測に焦点を当てています。 無作為化/治験供給管理のグローバル主要企業には、Calyx、Almac、ICON plc、Trialogics、IBM、Medpace CRO、Endpoint Clinical、Everest、Eclipse、PPD Inc、Statistics & Data Corporation、Cenduit、Clario、Bracket、Criterium、DSG、Suvoda、Oracle、Parexel、S-Clinica、Veeva Systems、Yprime、Rho, Inc、Medidata、Axiom Real-Time Metrics、Crucial Data Solutions、Clinion、Venn Life Sciences、Cloudbyz、Datatrakなどがあります。2021年、世界のトップ5プレイヤーは売上ベースで約xxx％の市場シェアを占めています。 無作為化/治験供給管理市場は、タイプとアプリケーションによって区分されます。世界の無作為化/治験供給管理市場のプレーヤー、利害関係者、およびその他の参加者は、当レポートを有益なリソースとして使用することで優位に立つことができます。セグメント分析は、2017年～2028年期間のタイプ別およびアプリケーション別の販売量、売上、予測に焦点を当てています。 【タイプ別セグメント】 クラウドベース、ウェブベース 【アプリケーション別セグメント】 製薬/バイオ医薬品、医療機器、その他 【掲載地域】 北米：アメリカ、カナダ ヨーロッパ：ドイツ、フランス、イギリス、イタリア、ロシア アジア太平洋：日本、中国、韓国、インド、オーストラリア、台湾、インドネシア、タイ、マレーシア 中南米：メキシコ、ブラジル、アルゼンチン 中東・アフリカ：トルコ、サウジアラビア、UAE 【目次（一部）】 ・調査の範囲 - 無作為化/治験供給管理製品概要 - タイプ別市場（クラウドベース、ウェブベース） - アプリケーション別市場（製薬/バイオ医薬品、医療機器、その他） - 調査の目的 ・エグゼクティブサマリー - 世界の無作為化/治験供給管理販売量予測2017-2028 - 世界の無作為化/治験供給管理売上予測2017-2028 - 無作為化/治験供給管理の地域別販売量 - 無作為化/治験供給管理の地域別売上 - 北米市場 - ヨーロッパ市場 - アジア太平洋市場 - 中南米市場 - 中東・アフリカ市場 ・メーカーの競争状況 - 主要メーカー別無作為化/治験供給管理販売量 - 主要メーカー別無作為化/治験供給管理売上 - 主要メーカー別無作為化/治験供給管理価格 - 競争状況の分析 - 企業M&A動向 ・タイプ別市場規模（クラウドベース、ウェブベース） - 無作為化/治験供給管理のタイプ別販売量 - 無作為化/治験供給管理のタイプ別売上 - 無作為化/治験供給管理のタイプ別価格 ・アプリケーション別市場規模（製薬/バイオ医薬品、医療機器、その他） - 無作為化/治験供給管理のアプリケーション別販売量 - 無作為化/治験供給管理のアプリケーション別売上 - 無作為化/治験供給管理のアプリケーション別価格 ・北米市場 - 北米の無作為化/治験供給管理市場規模（タイプ別、アプリケーション別） - 主要国別の無作為化/治験供給管理市場規模（アメリカ、カナダ） ・ヨーロッパ市場 - ヨーロッパの無作為化/治験供給管理市場規模（タイプ別、アプリケーション別） - 主要国別の無作為化/治験供給管理市場規模（ドイツ、フランス、イギリス、イタリア、ロシア） ・アジア太平洋市場 - アジア太平洋の無作為化/治験供給管理市場規模（タイプ別、アプリケーション別） - 主要国別の無作為化/治験供給管理市場規模（日本、中国、韓国、インド、オーストラリア、台湾、インドネシア、タイ、マレーシア） ・中南米市場 - 中南米の無作為化/治験供給管理市場規模（タイプ別、アプリケーション別） - 主要国別の無作為化/治験供給管理市場規模（メキシコ、ブラジル、アルゼンチン） ・中東・アフリカ市場 - 中東・アフリカの無作為化/治験供給管理市場規模（タイプ別、アプリケーション別） - 主要国別の無作為化/治験供給管理市場規模（トルコ、サウジアラビア） ・企業情報 Calyx、Almac、ICON plc、Trialogics、IBM、Medpace CRO、Endpoint Clinical、Everest、Eclipse、PPD Inc、Statistics & Data Corporation、Cenduit、Clario、Bracket、Criterium、DSG、Suvoda、Oracle、Parexel、S-Clinica、Veeva Systems、Yprime、Rho, Inc、Medidata、Axiom Real-Time Metrics、Crucial Data Solutions、Clinion、Venn Life Sciences、Cloudbyz、Datatrak ・産業チェーン及び販売チャネル分析 - 無作為化/治験供給管理の産業チェーン分析 - 無作為化/治験供給管理の原材料 - 無作為化/治験供給管理の生産プロセス - 無作為化/治験供給管理の販売及びマーケティング - 無作為化/治験供給管理の主要顧客 ・マーケットドライバー、機会、課題、リスク要因分析 - 無作為化/治験供給管理の産業動向 - 無作為化/治験供給管理のマーケットドライバー - 無作為化/治験供給管理の課題 - 無作為化/治験供給管理の阻害要因 ・主な調査結果 |
Report Overview
Due to the COVID-19 pandemic and Russia-Ukraine War Influence, the global market for Randomization and Trial Supply Management estimated at US$ million in the year 2022, is projected to reach a revised size of US$ million by 2028, growing at a CAGR of % during the forecast period 2022-2028.
The USA market for Randomization and Trial Supply Management is estimated to increase from $ million in 2022 to reach $ million by 2028, at a CAGR of % during the forecast period of 2023 through 2028.
The China market for Randomization and Trial Supply Management is estimated to increase from $ million in 2022 to reach $ million by 2028, at a CAGR of % during the forecast period of 2023 through 2028.
The Europe market for Randomization and Trial Supply Management is estimated to increase from $ million in 2022 to reach $ million by 2028, at a CAGR of % during the forecast period of 2023 through 2028.
The global key companies of Randomization and Trial Supply Management include Calyx, Almac, ICON plc, Trialogics, IBM, Medpace CRO, Endpoint Clinical, Everest and Eclipse, etc. In 2021, the global top five players had a share approximately % in terms of revenue.
Report Scope
This latest report researches the industry structure, revenue and gross margin. Major players’ headquarters, market shares, industry ranking and profiles are presented. The primary and secondary research is done in order to access up-to-date government regulations, market information and industry data. Data were collected from the Randomization and Trial Supply Management companies, distributors, end users, industry associations, governments’ industry bureaus, industry publications, industry experts, third party database, and our in-house databases.
This report also includes a discussion of the major players across each regional Randomization and Trial Supply Management market. Further, it explains the major drivers and regional dynamics of the global Randomization and Trial Supply Management market and current trends within the industry.
Key Companies Covered
In this section of the report, the researchers have done a comprehensive analysis of the prominent players operating and the strategies they are focusing on to combat the intense competition. Company profiles and market share analysis of the prominent players are also provided in this section. Additionally, the specialists have done an all-encompassing analysis of each player. They have also provided reliable revenue, market share and rank data of the companies for the period 2017-2022. With the assistance of this report, key players, stakeholders, and other participants will be able to stay abreast of the recent and upcoming developments in the business, further enabling them to make efficient choices. Mentioned below are the prime players taken into account in this research report:
Calyx
Almac
ICON plc
Trialogics
IBM
Medpace CRO
Endpoint Clinical
Everest
Eclipse
PPD Inc
Statistics & Data Corporation
Cenduit
Clario
Bracket
Criterium
DSG
Suvoda
Oracle
Parexel
S-Clinica
Veeva Systems
Yprime
Rho, Inc
Medidata
Axiom Real-Time Metrics
Crucial Data Solutions
Clinion
Venn Life Sciences
Cloudbyz
Datatrak
Market Segments
This report has explored the key segments: by Type and by Application. The lucrativeness and growth potential have been looked into by the industry experts in this report. This report also provides revenue forecast data by type and by application segments based on value for the period 2017-2028.
Randomization and Trial Supply Management Segment by Type
Cloud Based
Web Based
Randomization and Trial Supply Management Segment by Application
Pharma and Biopharmaceutical
Medical Device
Others
Key Regions & Countries
This section of the report provides key insights regarding various regions and the key players operating in each region. Economic, social, environmental, technological, and political factors have been taken into consideration while assessing the growth of the particular region/country. The readers will also get their hands on the value data of each region and country for the period 2017-2028.
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Key Drivers & Barriers
High-impact rendering factors and drivers have been studied in this report to aid the readers to understand the general development. Moreover, the report includes restraints and challenges that may act as stumbling blocks on the way of the players. This will assist the users to be attentive and make informed decisions related to business. Specialists have also laid their focus on the upcoming business prospects.
COVID-19 and Russia-Ukraine War Influence Analysis
The readers in the section will understand how the Randomization and Trial Supply Management market scenario changed across the globe during the pandemic, post-pandemic and Russia-Ukraine War. The study is done keeping in view the changes in aspects such as demand, consumption, transportation, consumer behavior, supply chain management, export and import, and production. The industry experts have also highlighted the key factors that will help create opportunities for players and stabilize the overall industry in the years to come.
Report Includes:
This report presents an overview of global market for Randomization and Trial Supply Management market size. Analyses of the global market trends, with historic market revenue data for 2017 – 2021, estimates for 2022, and projections of CAGR through 2028.
This report researches the key producers of Randomization and Trial Supply Management, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Randomization and Trial Supply Management, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Randomization and Trial Supply Management revenue, market share and industry ranking of main companies, data from 2017 to 2022. Identification of the major stakeholders in the global Randomization and Trial Supply Management market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by type and by application, revenue, and growth rate, from 2017 to 2028. Evaluation and forecast the market size for Randomization and Trial Supply Management revenue, projected growth trends, production technology, application and end-user industry.
Descriptive company profiles of the major global players, including Calyx, Almac, ICON plc, Trialogics, IBM, Medpace CRO, Endpoint Clinical, Everest and Eclipse, etc.
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Revenue of Randomization and Trial Supply Management in global and regional level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world. This section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Randomization and Trial Supply Management companies’ competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments according to product types, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments according to application, covering the revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America by type, by application and by country, revenue for each segment.
Chapter 7: Europe by type, by application and by country, revenue for each segment.
Chapter 8: Asia Pacific by type, by application and by country/region, revenue for each segment.
Chapter 9: Latin America by type, by application and by country, revenue for each segment.
Chapter 10: Middle East and Africa by type, by application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Randomization and Trial Supply Management revenue, gross margin, and recent development, etc.
Chapter 12: Analyst’s Viewpoints/Conclusions
1 Report Business Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Randomization and Trial Supply Management Market Size Growth Rate by Type, 2017 VS 2021 VS 2028
1.2.2 Cloud Based
1.2.3 Web Based
1.3 Market by Application
1.3.1 Global Randomization and Trial Supply Management Market Size Growth Rate by Application, 2017 VS 2021 VS 2028
1.3.2 Pharma and Biopharmaceutical
1.3.3 Medical Device
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
2 Global Growth Trends
2.1 Global Randomization and Trial Supply Management Market Perspective (2017-2028)
2.2 Randomization and Trial Supply Management Growth Trends by Region
2.2.1 Randomization and Trial Supply Management Market Size by Region: 2017 VS 2021 VS 2028
2.2.2 Randomization and Trial Supply Management Historic Market Size by Region (2017-2022)
2.2.3 Randomization and Trial Supply Management Forecasted Market Size by Region (2023-2028)
2.3 Randomization and Trial Supply Management Market Dynamics
2.3.1 Randomization and Trial Supply Management Industry Trends
2.3.2 Randomization and Trial Supply Management Market Drivers
2.3.3 Randomization and Trial Supply Management Market Challenges
2.3.4 Randomization and Trial Supply Management Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Randomization and Trial Supply Management Players by Revenue
3.1.1 Global Top Randomization and Trial Supply Management Players by Revenue (2017-2022)
3.1.2 Global Randomization and Trial Supply Management Revenue Market Share by Players (2017-2022)
3.2 Global Randomization and Trial Supply Management Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Randomization and Trial Supply Management Revenue
3.4 Global Randomization and Trial Supply Management Market Concentration Ratio
3.4.1 Global Randomization and Trial Supply Management Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Randomization and Trial Supply Management Revenue in 2021
3.5 Randomization and Trial Supply Management Key Players Head office and Area Served
3.6 Key Players Randomization and Trial Supply Management Product Solution and Service
3.7 Date of Enter into Randomization and Trial Supply Management Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Randomization and Trial Supply Management Breakdown Data by Type
4.1 Global Randomization and Trial Supply Management Historic Market Size by Type (2017-2022)
4.2 Global Randomization and Trial Supply Management Forecasted Market Size by Type (2023-2028)
5 Randomization and Trial Supply Management Breakdown Data by Application
5.1 Global Randomization and Trial Supply Management Historic Market Size by Application (2017-2022)
5.2 Global Randomization and Trial Supply Management Forecasted Market Size by Application (2023-2028)
6 North America
6.1 North America Randomization and Trial Supply Management Market Size (2017-2028)
6.2 North America Randomization and Trial Supply Management Market Size by Type
6.2.1 North America Randomization and Trial Supply Management Market Size by Type (2017-2022)
6.2.2 North America Randomization and Trial Supply Management Market Size by Type (2023-2028)
6.2.3 North America Randomization and Trial Supply Management Market Share by Type (2017-2028)
6.3 North America Randomization and Trial Supply Management Market Size by Application
6.3.1 North America Randomization and Trial Supply Management Market Size by Application (2017-2022)
6.3.2 North America Randomization and Trial Supply Management Market Size by Application (2023-2028)
6.3.3 North America Randomization and Trial Supply Management Market Share by Application (2017-2028)
6.4 North America Randomization and Trial Supply Management Market Size by Country
6.4.1 North America Randomization and Trial Supply Management Market Size by Country (2017-2022)
6.4.2 North America Randomization and Trial Supply Management Market Size by Country (2023-2028)
6.4.3 United States
6.4.4 Canada
7 Europe
7.1 Europe Randomization and Trial Supply Management Market Size (2017-2028)
7.2 Europe Randomization and Trial Supply Management Market Size by Type
7.2.1 Europe Randomization and Trial Supply Management Market Size by Type (2017-2022)
7.2.2 Europe Randomization and Trial Supply Management Market Size by Type (2023-2028)
7.2.3 Europe Randomization and Trial Supply Management Market Share by Type (2017-2028)
7.3 Europe Randomization and Trial Supply Management Market Size by Application
7.3.1 Europe Randomization and Trial Supply Management Market Size by Application (2017-2022)
7.3.2 Europe Randomization and Trial Supply Management Market Size by Application (2023-2028)
7.3.3 Europe Randomization and Trial Supply Management Market Share by Application (2017-2028)
7.4 Europe Randomization and Trial Supply Management Market Size by Country
7.4.1 Europe Randomization and Trial Supply Management Market Size by Country (2017-2022)
7.4.2 Europe Randomization and Trial Supply Management Market Size by Country (2023-2028)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Randomization and Trial Supply Management Market Size (2017-2028)
8.2 Asia-Pacific Randomization and Trial Supply Management Market Size by Type
8.2.1 Asia-Pacific Randomization and Trial Supply Management Market Size by Type (2017-2022)
8.2.2 Asia-Pacific Randomization and Trial Supply Management Market Size by Type (2023-2028)
8.2.3 Asia-Pacific Randomization and Trial Supply Management Market Share by Type (2017-2028)
8.3 Asia-Pacific Randomization and Trial Supply Management Market Size by Application
8.3.1 Asia-Pacific Randomization and Trial Supply Management Market Size by Application (2017-2022)
8.3.2 Asia-Pacific Randomization and Trial Supply Management Market Size by Application (2023-2028)
8.3.3 Asia-Pacific Randomization and Trial Supply Management Market Share by Application (2017-2028)
8.4 Asia-Pacific Randomization and Trial Supply Management Market Size by Region
8.4.1 Asia-Pacific Randomization and Trial Supply Management Market Size by Region (2017-2022)
8.4.2 Asia-Pacific Randomization and Trial Supply Management Market Size by Region (2023-2028)
8.4.3 China
8.4.4 Japan
8.4.5 South Korea
8.4.6 Southeast Asia
8.4.7 India
8.4.8 Australia
9 Latin America
9.1 Latin America Randomization and Trial Supply Management Market Size (2017-2028)
9.2 Latin America Randomization and Trial Supply Management Market Size by Type
9.2.1 Latin America Randomization and Trial Supply Management Market Size by Type (2017-2022)
9.2.2 Latin America Randomization and Trial Supply Management Market Size by Type (2023-2028)
9.2.3 Latin America Randomization and Trial Supply Management Market Share by Type (2017-2028)
9.3 Latin America Randomization and Trial Supply Management Market Size by Application
9.3.1 Latin America Randomization and Trial Supply Management Market Size by Application (2017-2022)
9.3.2 Latin America Randomization and Trial Supply Management Market Size by Application (2023-2028)
9.3.3 Latin America Randomization and Trial Supply Management Market Share by Application (2017-2028)
9.4 Latin America Randomization and Trial Supply Management Market Size by Country
9.4.1 Latin America Randomization and Trial Supply Management Market Size by Country (2017-2022)
9.4.2 Latin America Randomization and Trial Supply Management Market Size by Country (2023-2028)
9.4.3 Mexico
9.4.4 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Randomization and Trial Supply Management Market Size (2017-2028)
10.2 Middle East & Africa Randomization and Trial Supply Management Market Size by Type
10.2.1 Middle East & Africa Randomization and Trial Supply Management Market Size by Type (2017-2022)
10.2.2 Middle East & Africa Randomization and Trial Supply Management Market Size by Type (2023-2028)
10.2.3 Middle East & Africa Randomization and Trial Supply Management Market Share by Type (2017-2028)
10.3 Middle East & Africa Randomization and Trial Supply Management Market Size by Application
10.3.1 Middle East & Africa Randomization and Trial Supply Management Market Size by Application (2017-2022)
10.3.2 Middle East & Africa Randomization and Trial Supply Management Market Size by Application (2023-2028)
10.3.3 Middle East & Africa Randomization and Trial Supply Management Market Share by Application (2017-2028)
10.4 Middle East & Africa Randomization and Trial Supply Management Market Size by Country
10.4.1 Middle East & Africa Randomization and Trial Supply Management Market Size by Country (2017-2022)
10.4.2 Middle East & Africa Randomization and Trial Supply Management Market Size by Country (2023-2028)
10.4.3 Turkey
10.4.4 Saudi Arabia
10.4.5 UAE
11 Key Players Profiles
11.1 Calyx
11.1.1 Calyx Company Details
11.1.2 Calyx Business Overview
11.1.3 Calyx Randomization and Trial Supply Management Introduction
11.1.4 Calyx Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.1.5 Calyx Recent Developments
11.2 Almac
11.2.1 Almac Company Details
11.2.2 Almac Business Overview
11.2.3 Almac Randomization and Trial Supply Management Introduction
11.2.4 Almac Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.2.5 Almac Recent Developments
11.3 ICON plc
11.3.1 ICON plc Company Details
11.3.2 ICON plc Business Overview
11.3.3 ICON plc Randomization and Trial Supply Management Introduction
11.3.4 ICON plc Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.3.5 ICON plc Recent Developments
11.4 Trialogics
11.4.1 Trialogics Company Details
11.4.2 Trialogics Business Overview
11.4.3 Trialogics Randomization and Trial Supply Management Introduction
11.4.4 Trialogics Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.4.5 Trialogics Recent Developments
11.5 IBM
11.5.1 IBM Company Details
11.5.2 IBM Business Overview
11.5.3 IBM Randomization and Trial Supply Management Introduction
11.5.4 IBM Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.5.5 IBM Recent Developments
11.6 Medpace CRO
11.6.1 Medpace CRO Company Details
11.6.2 Medpace CRO Business Overview
11.6.3 Medpace CRO Randomization and Trial Supply Management Introduction
11.6.4 Medpace CRO Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.6.5 Medpace CRO Recent Developments
11.7 Endpoint Clinical
11.7.1 Endpoint Clinical Company Details
11.7.2 Endpoint Clinical Business Overview
11.7.3 Endpoint Clinical Randomization and Trial Supply Management Introduction
11.7.4 Endpoint Clinical Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.7.5 Endpoint Clinical Recent Developments
11.8 Everest
11.8.1 Everest Company Details
11.8.2 Everest Business Overview
11.8.3 Everest Randomization and Trial Supply Management Introduction
11.8.4 Everest Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.8.5 Everest Recent Developments
11.9 Eclipse
11.9.1 Eclipse Company Details
11.9.2 Eclipse Business Overview
11.9.3 Eclipse Randomization and Trial Supply Management Introduction
11.9.4 Eclipse Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.9.5 Eclipse Recent Developments
11.10 PPD Inc
11.10.1 PPD Inc Company Details
11.10.2 PPD Inc Business Overview
11.10.3 PPD Inc Randomization and Trial Supply Management Introduction
11.10.4 PPD Inc Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.10.5 PPD Inc Recent Developments
11.11 Statistics & Data Corporation
11.11.1 Statistics & Data Corporation Company Details
11.11.2 Statistics & Data Corporation Business Overview
11.11.3 Statistics & Data Corporation Randomization and Trial Supply Management Introduction
11.11.4 Statistics & Data Corporation Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.11.5 Statistics & Data Corporation Recent Developments
11.12 Cenduit
11.12.1 Cenduit Company Details
11.12.2 Cenduit Business Overview
11.12.3 Cenduit Randomization and Trial Supply Management Introduction
11.12.4 Cenduit Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.12.5 Cenduit Recent Developments
11.13 Clario
11.13.1 Clario Company Details
11.13.2 Clario Business Overview
11.13.3 Clario Randomization and Trial Supply Management Introduction
11.13.4 Clario Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.13.5 Clario Recent Developments
11.14 Bracket
11.14.1 Bracket Company Details
11.14.2 Bracket Business Overview
11.14.3 Bracket Randomization and Trial Supply Management Introduction
11.14.4 Bracket Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.14.5 Bracket Recent Developments
11.15 Criterium
11.15.1 Criterium Company Details
11.15.2 Criterium Business Overview
11.15.3 Criterium Randomization and Trial Supply Management Introduction
11.15.4 Criterium Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.15.5 Criterium Recent Developments
11.16 DSG
11.16.1 DSG Company Details
11.16.2 DSG Business Overview
11.16.3 DSG Randomization and Trial Supply Management Introduction
11.16.4 DSG Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.16.5 DSG Recent Developments
11.17 Suvoda
11.17.1 Suvoda Company Details
11.17.2 Suvoda Business Overview
11.17.3 Suvoda Randomization and Trial Supply Management Introduction
11.17.4 Suvoda Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.17.5 Suvoda Recent Developments
11.18 Oracle
11.18.1 Oracle Company Details
11.18.2 Oracle Business Overview
11.18.3 Oracle Randomization and Trial Supply Management Introduction
11.18.4 Oracle Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.18.5 Oracle Recent Developments
11.19 Parexel
11.19.1 Parexel Company Details
11.19.2 Parexel Business Overview
11.19.3 Parexel Randomization and Trial Supply Management Introduction
11.19.4 Parexel Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.19.5 Parexel Recent Developments
11.20 S-Clinica
11.20.1 S-Clinica Company Details
11.20.2 S-Clinica Business Overview
11.20.3 S-Clinica Randomization and Trial Supply Management Introduction
11.20.4 S-Clinica Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.20.5 S-Clinica Recent Developments
11.21 Veeva Systems
11.21.1 Veeva Systems Company Details
11.21.2 Veeva Systems Business Overview
11.21.3 Veeva Systems Randomization and Trial Supply Management Introduction
11.21.4 Veeva Systems Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.21.5 Veeva Systems Recent Developments
11.22 Yprime
11.22.1 Yprime Company Details
11.22.2 Yprime Business Overview
11.22.3 Yprime Randomization and Trial Supply Management Introduction
11.22.4 Yprime Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.22.5 Yprime Recent Developments
11.23 Rho, Inc
11.23.1 Rho, Inc Company Details
11.23.2 Rho, Inc Business Overview
11.23.3 Rho, Inc Randomization and Trial Supply Management Introduction
11.23.4 Rho, Inc Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.23.5 Rho, Inc Recent Developments
11.24 Medidata
11.24.1 Medidata Company Details
11.24.2 Medidata Business Overview
11.24.3 Medidata Randomization and Trial Supply Management Introduction
11.24.4 Medidata Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.24.5 Medidata Recent Developments
11.25 Axiom Real-Time Metrics
11.25.1 Axiom Real-Time Metrics Company Details
11.25.2 Axiom Real-Time Metrics Business Overview
11.25.3 Axiom Real-Time Metrics Randomization and Trial Supply Management Introduction
11.25.4 Axiom Real-Time Metrics Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.25.5 Axiom Real-Time Metrics Recent Developments
11.26 Crucial Data Solutions
11.26.1 Crucial Data Solutions Company Details
11.26.2 Crucial Data Solutions Business Overview
11.26.3 Crucial Data Solutions Randomization and Trial Supply Management Introduction
11.26.4 Crucial Data Solutions Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.26.5 Crucial Data Solutions Recent Developments
11.27 Clinion
11.27.1 Clinion Company Details
11.27.2 Clinion Business Overview
11.27.3 Clinion Randomization and Trial Supply Management Introduction
11.27.4 Clinion Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.27.5 Clinion Recent Developments
11.28 Venn Life Sciences
11.28.1 Venn Life Sciences Company Details
11.28.2 Venn Life Sciences Business Overview
11.28.3 Venn Life Sciences Randomization and Trial Supply Management Introduction
11.28.4 Venn Life Sciences Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.28.5 Venn Life Sciences Recent Developments
11.29 Cloudbyz
11.29.1 Cloudbyz Company Details
11.29.2 Cloudbyz Business Overview
11.29.3 Cloudbyz Randomization and Trial Supply Management Introduction
11.29.4 Cloudbyz Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.29.5 Cloudbyz Recent Developments
11.30 Datatrak
11.30.1 Datatrak Company Details
11.30.2 Datatrak Business Overview
11.30.3 Datatrak Randomization and Trial Supply Management Introduction
11.30.4 Datatrak Revenue in Randomization and Trial Supply Management Business (2017-2022)
11.30.5 Datatrak Recent Developments
12 Analyst’s Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Author Details
13.3 Disclaimer
| 【無作為化/治験供給管理について】 無作為化と治験供給管理は、臨床試験において非常に重要なプロセスであり、これらは新しい医薬品や治療法の効果を正確に評価するために必要不可欠な要素です。以下では、これらの概念について詳しく説明いたします。 無作為化は、臨床試験の参加者をグループに割り当てる際に使用される手法であり、これにより無作為な選択が提供されます。具体的には、対象とする患者やボランティアが偶然によって異なる治療群に分配されることで、バイアスを排除し、治療の効果をより正確に評価することが可能になります。無作為化は、治療が患者に与える影響を正確に比較するための基本的な手法であり、これにより得られるデータは、後の医薬品の承認や臨床的使用において重要な役割を果たします。 無作為化の特徴としては、まず第一に客観性があります。無作為化により、研究者や参加者の意図的な介入を防止することができ、より純粋な結果が得られます。第二に、統計的な有効性が高まります。無作為に選択されたグループは、治療群間での交互の影響が最小限に抑えられ、治療効果の差異をより明確に示すことができます。第三に、患者の特性や背景による偏りを減少させ、治療効果を一般化できるステータスを提供します。 無作為化にはいくつかの種類があり、代表的なものには単純無作為化、層別無作為化、そして適応的無作為化があります。単純無作為化は、すべての参加者が平等な確率で治療群に配分される方法です。一方、層別無作為化は、特定の特性（年齢、性別、病歴など）に基づいて参加者を層に分け、その層内で無作為にグループ分けを行います。この方法により、ある特性が治療効果に与える影響をより明確に分析することができます。また、適応的無作為化は、試験の進行中に得られたデータに基づいて、治療群の配分を動的に変更することを可能にする手法です。これにより、効果的な治療法をより早く特定することができ、リソースの最適化にもつながります。 治験供給管理は、治験における試験薬や placebo の供給を効率的に管理するためのシステムやプロセスを網羅する概念です。治験供給管理は、必要な数の試験薬を適切なタイミングで、正しい場所に供給することを目的としています。このプロセスは、治験の進行をスムーズにするだけでなく、治験が倫理的かつ科学的に実施されるために必要な要素でもあります。 治験供給管理の具体的な特徴としては、まず、在庫管理の精度が求められます。試験薬の数量や有効期限、保存条件などを的確に把握し、適時適所に供給できるようにしなければなりません。また、患者のリクエストや病院のニーズに応じた柔軟な供給体制も構築する必要があります。さらに、品質管理も重要な要素であり、試験薬が適切な方法で保管され、輸送されることを保証する必要があります。 治験供給管理にはいくつかの主要なアプローチがあります。まず、中央供給管理と呼ばれる手法があり、これは治験を運営する企業や組織が一元的に供給を管理する方式です。地域の参加施設に直接供給を行うことで、効率性を高めることが期待できます。次に、分散型供給管理があり、これは複数の供給元がそれぞれの役割を果たす方法です。この方法は、大規模な治験でよく利用され、地域ごとのニーズに応じた供給が可能です。また、供給チェーンの最適化を図るためのテクノロジーの導入も進んでいます。特に、在庫管理システムやトラッキング技術の導入により、リアルタイムで供給状況を把握することが可能になり、治験運営の透明性と効率が向上します。 これらのプロセスは、臨床試験が煩雑で時間がかかる作業であることを踏まえ、技術革新の利用が重要です。最近では、クラウドベースのプラットフォーム、モバイルアプリケーション、データ分析ツールなどが導入され、リアルタイムでの情報取得や参加者の管理がより簡便かつ迅速になっています。また、ビッグデータ解析や人工知能（AI）の技術が進化することで、治験のデザインや実施の段階での意思決定がサポートされ、無作為化や供給管理の精度も向上しています。 結論として、無作為化と治験供給管理は、臨床試験を成功に導くための重要な要素です。正確な無作為化により得られるデータは、新しい治療法の承認に直結し、治験供給管理が円滑に行われることにより、治験そのものの品質が保証されます。今後も、これらのシステムは科学技術の進展とともに進化し、より効率的かつ信頼性の高い臨床試験の実施が求められます。 |