世界各国のリアルタイムなデータ・インテリジェンスで皆様をお手伝い

ベトナムの仮想化進化型パケットコア市場:コンポーネントタイプ別(ソリューション対サービス)、エンドユーザー別(通信事業者対企業)、用途別(モノのインターネット(IoT)とマシンツーマシン(M2M)、モバイルプライベートネットワーク(MPN)とモバイル仮想ネットワーク事業者(MVNO))、地域別、競争予測と機会:2018年~2028年


Vietnam Virtualized Evolved Packet Core Market, By Component Type (Solution Vs Services), By End User (Telecom Operator Vs Enterprise), By Use (Internet of Things (IoT) and Machine to Machine (M2M), Mobile Private Networks (MPNs) and Mobile Virtual Network Operators (MVNOs), By Region, Competition Forecast & Opportunities, 2018-2028

ベトナムの仮想化進化型パケットコア市場は予測期間2024〜2028年に堅調な成長が見込まれる。市場を牽引しているのは、ベトナム全土における仮想化進化型パケットコアの拡大、モバイルネットワークのデータトラフ... もっと見る

 

 

出版社 出版年月 電子版価格 ページ数 言語
TechSci Research
テックサイリサーチ
2023年9月5日 US$3,500
シングルユーザライセンス
ライセンス・価格情報・注文方法はこちら
78 英語

 

サマリー

ベトナムの仮想化進化型パケットコア市場は予測期間2024〜2028年に堅調な成長が見込まれる。市場を牽引しているのは、ベトナム全土における仮想化進化型パケットコアの拡大、モバイルネットワークのデータトラフィックの増加、スマートフォン契約数の増加、各契約で使用される平均データ量の増加、クラウドサービスへのビジネス利用のシフト、広帯域化である。セキュリティ上の懸念の高まり、脆弱なリンクを持つ複雑なネットワーク、セキュリティリスク、理解不足、仮想化へ移行するためのリソース不足などが、業界の成長を制限する課題となっている。市場拡大の機会は、IoT市場の成長率の上昇、手頃な価格で製品をカスタマイズできる能力、低遅延、マシン間通信ネットワークの改善、LTEから5G技術への移行からもたらされると予想される。
通信分野で人気を集めている最先端のモバイル・コア・ネットワーク技術は、仮想化進化型パケット・コア・ネットワーク・システムである。ユーザー基盤の拡大が続いても、業界の収益に影響を与えるとは限らない。全体的な運用コストを削減しながら容量とカバレッジを強化するため、通信会社は新たな戦略を模索している。進化型パケットコアは、安価なコストでサービス品質を向上させるため、ネットワーク事業者によって急速に仮想化が進んでいる。5G、IoT、M2M開発などの技術も、仮想化進化型パケットコアの採用を後押ししている。これらの技術が発展するにつれて、最先端のモバイルコアネットワークシステムを利用できる機会が増えるだろう。理論的には、モバイル通信事業者は高度なパケットコア機能を仮想化し、特定のネットワーク要素を組み合わせて再配置することで、さまざまな消費者の独自のニーズに対応するネットワークを設計できる。さらに、vEPCはCAPEXとOPEXを節約すると同時に、サービス提供を加速し、オンデマンドのスケーラビリティを可能にし、専門ハードウェアへの依存を減らすことでリアルタイムのネットワーク状況やユーザーニーズに対応することができる。
モバイルネットワークのデータトラフィックの拡大
仮想化進化型パケットコア市場の成長を後押しする主な要因は、5Gネットワークの商用化、IoT展開、アジャイル・ネットワークに対する需要の高まり、モバイル・ネットワーク経由のブロードバンド・サービスに対する需要の高まり、運用支出(OPEX)と資本支出(CAPEX)を削減するニーズの高まりである。しかし、景気減速やネットワークインフラ全体におけるセキュリティ懸念の増加などの要因が、市場の成長を妨げている。
また、スマートフォンの利用が増加し、低価格で高速なネットワーク接続が利用しやすくなったため、モバイル・データ・トラフィックはベトナム全土で増加している。例えば、GSMA Intelligenceによると、スマートフォンを所有する人の割合は2021年の65%から2025年末には80%に上昇すると予測されている。その結果、拡大するモバイル・データ・トラフィックを管理するために、仮想化された進化型パケットコア・ソリューションが求められるようになった。仮想化進化型パケットコアによるモバイルデータ・トラフィックの効率的な管理は、スループットを向上させ、ネットワークの輻輳問題を軽減し、リソース消費を最適化し、サービス品質を向上させる。
セルラーネットワークの技術開発
仮想化進化型パケットコアシステムの利用を促進するもう1つの重要な要因は、より高速なデータスループットと低遅延を提供するセルラーネットワーク技術の進歩です。動画に対する消費者の欲求や、クラウド・サービスを採用する企業や消費者の動きが、データ量の急増の主な要因となっている。現在、AR、VR、3D、超高解像度ビデオコンテンツなど、データ量の多いアプリケーションをテストまたは使用している家電機器や企業間(B2B)通信システムで、サービスやアプリケーションの利用が増加していることが、モバイルデータサービスの需要を促進する主な要因となっている。セルラーネットワークが大量のデータを伝送する結果、モバイルデータトラフィックが増加している。仮想化進化型パケットコアは、モバイルデータトラフィックの急増によって牽引されると予想される。
阻害要因
この市場の拡大は、仮想インフラへの切り替えに対する抵抗や従来のインフラとの競争によって阻害されている。さらに、M2M(Machine-to-Machine)やIoT(Internet of Things)通信機器の増加により、仮想化進化型パケットコア市場には多くの将来性がある。従来のインフラ(レガシーインフラ)から仮想化への移行は、今日の企業が直面する最大の難題の一つである。大半の企業では、仮想化への移行に必要な知識やリソースがまだ不足しており、これが市場の拡大を制限している。さらに、仮想化進化型パケットコアの市場は、仮想化への移行に伴う高コストによって制約を受けると予想される。
市場細分化
ベトナムの仮想化進化型パケットコア市場は、コンポーネントタイプ、エンドユーザー、用途に基づいて細分化される。コンポーネントタイプに基づき、市場はソリューションとサービスに分けられる。エンドユーザー別では、通信事業者と企業に分けられる。用途別では、モノのインターネット(IoT)と機械間通信(M2M)、モバイル・プライベート・ネットワーク(MPN)と仮想移動体通信事業者(MVNO)に区分される。
市場プレーヤー
ベトナムの仮想化進化型パケットコア市場の主要プレーヤーには、Affirmed Networks, Inc.、Ericsson AB、Huawei Technologies (Vietnam) Co.Ltd.、ZTE Corporation、NEC Vietnam Co.Ltd.、Nokia Vietnam Technology and Network Services Co.Ltd.、Cisco Systems Vietnam Co.Ltd.、Samsung Electronics Vietnam Company Limited、Mavenir Systems、Athonetなどがある。
レポートの範囲
本レポートでは、ベトナムの仮想化進化型パケットコア市場を、以下に詳述する業界動向に加えて、以下のカテゴリーに分類しています:
o ベトナム仮想化進化型パケットコア市場:コンポーネントタイプ別
o ソリューション
o サービス
o ベトナムの仮想化進化型パケットコア市場:エンドユーザー別
o 通信事業者
o 企業
o ベトナムの仮想化進化型パケットコア市場:用途別
o モノのインターネット(IoT)とマシンツーマシン(M2M)
o モバイル・プライベート・ネットワーク(MPN)とモバイル・バーチャル・ネットワーク・オペレーター(MVNO)
o ベトナムの仮想化進化型パケットコア市場:地域別
o ベトナム北部
o ベトナム南部
o ベトナム中部
競合状況
企業プロフィール:ベトナムの仮想化進化型パケットコア市場に参入している主要企業の詳細分析
利用可能なカスタマイズ:
Tech Sci Research社は、与えられた市場データをもとに、企業の特定のニーズに応じてカスタマイズを提供します。このレポートでは以下のカスタマイズが可能です:
企業情報
o 追加の市場参入企業(最大5社)の詳細分析とプロファイリング。

ページTOPに戻る


目次

1. Service Overview
2. Research Methodology
3. Impact of COVID-19 on Global Natural Language Processing Market
4. Executive Summary
5. Voice of Customers
6. Global Natural Language Processing Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Service, Solution and Managed Services)
6.2.2. By Deployment (On-Premises and Cloud)
6.2.3. By Organization (Large Enterprises, Small & Medium Enterprises)
6.2.4. By Type (Statistical, Hybrid and Rule Based)
6.2.5. By Application (Automatic Text Summarization, Semantic Analysis, Text Extraction, Sentiment Analysis, Speech Recognition, Machine Translation, Others)
6.2.6. By Industry Vertical (BFSI, IT & Telecommunication, Healthcare & Life Science, Retail & E-Commerce, Government & Public Sector, Others)
6.2.7. By Region (North America, Europe, Asia-Pacific, South America, Middle East & Africa (MEA))
6.3. By Company (2022)
6.4. Market Map
7. North America Natural Language Processing Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Deployment
7.2.3. By Organization
7.2.4. By Type
7.2.5. By Application
7.2.6. By Industry Vertical
7.2.7. By Country
7.3. North America: Country Analysis
7.3.1. United States Natural Language Processing Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Deployment
7.3.1.2.3. By Organization
7.3.1.2.4. By Type
7.3.1.2.5. By Application
7.3.1.2.6. By Industry Vertical
7.3.2. Canada Natural Language Processing Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Deployment
7.3.2.2.3. By Organization
7.3.2.2.4. By Type
7.3.2.2.5. By Application
7.3.2.2.6. By Industry Vertical
7.3.3. Mexico Natural Language Processing Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Deployment
7.3.3.2.3. By Organization
7.3.3.2.4. By Type
7.3.3.2.5. By Application
7.3.3.2.6. By Industry Vertical
8. Asia-Pacific Natural Language Processing Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment
8.2.3. By Organization
8.2.4. By Type
8.2.5. By Application
8.2.6. By Industry Vertical
8.2.7. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Natural Language Processing Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Deployment
8.3.1.2.3. By Organization
8.3.1.2.4. By Type
8.3.1.2.5. By Application
8.3.1.2.6. By Industry Vertical
8.3.2. Japan Natural Language Processing Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Deployment
8.3.2.2.3. By Organization
8.3.2.2.4. By Type
8.3.2.2.5. By Application
8.3.2.2.6. By Industry Vertical
8.3.3. South Korea Natural Language Processing Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Deployment
8.3.3.2.3. By Organization
8.3.3.2.4. By Type
8.3.3.2.5. By Application
8.3.3.2.6. By Industry Vertical
8.3.4. India Natural Language Processing Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Deployment
8.3.4.2.3. By Organization
8.3.4.2.4. By Type
8.3.4.2.5. By Application
8.3.4.2.6. By Industry Vertical
8.3.5. Australia Natural Language Processing Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Deployment
8.3.5.2.3. By Organization
8.3.5.2.4. By Type
8.3.5.2.5. By Application
8.3.5.2.6. By Industry Vertical
9. Europe Natural Language Processing Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment
9.2.3. By Organization
9.2.4. By Type
9.2.5. By Application
9.2.6. By Industry Vertical
9.2.7. By Country
9.3. Europe: Country Analysis
9.3.1. United Kingdom Natural Language Processing Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Deployment
9.3.1.2.3. By Organization
9.3.1.2.4. By Type
9.3.1.2.5. By Application
9.3.1.2.6. By Industry Vertical
9.3.2. Germany Natural Language Processing Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Deployment
9.3.2.2.3. By Organization
9.3.2.2.4. By Type
9.3.2.2.5. By Application
9.3.2.2.6. By Industry Vertical
9.3.3. France Natural Language Processing Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Deployment
9.3.3.2.3. By Organization
9.3.3.2.4. By Type
9.3.3.2.5. By Application
9.3.3.2.6. By Industry Vertical
9.3.4. Italy Natural Language Processing Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Component
9.3.4.2.2. By Deployment
9.3.4.2.3. By Organization
9.3.4.2.4. By Type
9.3.4.2.5. By Application
9.3.4.2.6. By Industry Vertical
9.3.5. Spain Natural Language Processing Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Component
9.3.5.2.2. By Deployment
9.3.5.2.3. By Organization
9.3.5.2.4. By Type
9.3.5.2.5. By Application
9.3.5.2.6. By Industry Vertical
10. South America Natural Language Processing Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment
10.2.3. By Organization
10.2.4. By Type
10.2.5. By Application
10.2.6. By Industry Vertical
10.2.7. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Natural Language Processing Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Deployment
10.3.1.2.3. By Organization
10.3.1.2.4. By Type
10.3.1.2.5. By Application
10.3.1.2.6. By Industry Vertical
10.3.2. Argentina Natural Language Processing Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Deployment
10.3.2.2.3. By Organization
10.3.2.2.4. By Type
10.3.2.2.5. By Application
10.3.2.2.6. By Industry Vertical
10.3.3. Colombia Natural Language Processing Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Deployment
10.3.3.2.3. By Organization
10.3.3.2.4. By Type
10.3.3.2.5. By Application
10.3.3.2.6. By Industry Vertical
11. Middle East & Africa Natural Language Processing Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Deployment
11.2.3. By Organization
11.2.4. By Type
11.2.5. By Application
11.2.6. By Industry Vertical
11.2.7. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. UAE Natural Language Processing Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Deployment
11.3.1.2.3. By Organization
11.3.1.2.4. By Type
11.3.1.2.5. By Application
11.3.1.2.6. By Industry Vertical
11.3.2. Kuwait Natural Language Processing Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Deployment
11.3.2.2.3. By Organization
11.3.2.2.4. By Type
11.3.2.2.5. By Application
11.3.2.2.6. By Industry Vertical
11.3.3. Saudi Arabia Natural Language Processing Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Deployment
11.3.3.2.3. By Organization
11.3.3.2.4. By Type
11.3.3.2.5. By Application
11.3.3.2.6. By Industry Vertical
11.3.4. South Africa Natural Language Processing Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Component
11.3.4.2.2. By Deployment
11.3.4.2.3. By Organization
11.3.4.2.4. By Type
11.3.4.2.5. By Application
11.3.4.2.6. By Industry Vertical
12. Market Dynamics
12.1. Drivers
12.1.1. Rising Demand and Adoption of Cloud-based Technologies
12.1.2. Increasing Adoption of Technology in the Healthcare Industry
12.1.3. Growing use of Smart Devices in the Industry
12.2. Challenges
12.2.1. Lack of Skilled Professional across the Industry
12.2.2. Operational Complexity from Traditional to Advanced Technology
13. Market Trends & Developments
13.1. Surge in Demand for Corporate Solutions to Optimize Business Operations for Better Client Experience
13.2. Increasing Adoption of Cognitive Technology in the Field of Artificial Intelligence (AI)
13.3. Increasing Government Initiatives
13.4. Changing Business needs due to Covid-19 Driving Adoption
13.5. Rising adoption of Cloud Computing services
14. Company Profiles
14.1. Microsoft Corporation
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel
14.1.5. Key Product/Services
14.2. IBM Corporation
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel
14.2.5. Key Product/Services
14.3. Apple Inc.
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel
14.3.5. Key Product/Services
14.4. 3M Company
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel
14.4.5. Key Product/Services
14.5. Amazon Inc.
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel
14.5.5. Key Product/Services
14.6. Google Inc.
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel
14.6.5. Key Product/Services
14.7. Dolbey Systems, Inc.
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel
14.7.5. Key Product/Services
14.8. Intel Corporation
14.8.1. Business Overview
14.8.2. Key Revenue and Financials
14.8.3. Recent Developments
14.8.4. Key Personnel
14.8.5. Key Product/Services
14.9. Baidu, Inc.
14.9.1. Business Overview
14.9.2. Key Revenue and Financials
14.9.3. Recent Developments
14.9.4. Key Personnel
14.9.5. Key Product/Services
14.10. Veritone Inc.
14.10.1. Business Overview
14.10.2. Key Revenue and Financials
14.10.3. Recent Developments
14.10.4. Key Personnel
14.10.5. Key Product/Services
15. Strategic Recommendations
16. About Us & Disclaimer
(Note: The companies list can be customized based on the client requirements.)

 

ページTOPに戻る


 

Summary

Vietnam Virtualized Evolved Packet Core Market is anticipated to grow robustly during the forecast period, 2024-2028. The market is being driven by the expansion of Virtualized Evolved Packet Core throughout Vietnam, an increase in mobile network data traffic, an increase in smartphone subscriptions, an increase in the average amount of data used by each subscription, a shift in business usage toward cloud services, and high bandwidth. Rising security concerns, complicated networks with weak links, security risks, lack of understanding, and a lack of resources to move toward virtualization are the issues limiting industry growth. Opportunities for market expansion are anticipated to come from the IoT market's rising growth, the ability to customize products affordably, low latency, improvements in machine-to-machine communication networks, and the transition from LTE to 5G technology.
A cutting-edge mobile-core network technology gaining popularity in the telecommunications sector is the Virtualized Evolved Packet Core network system. The user base's ongoing expansion does not necessarily affect the industry's revenues. In order to enhance capacity and coverage while reducing overall operating costs, telecom companies are looking for new strategies. Evolved Packet Core is being quickly virtualized by network operators to increase service quality at a cheap cost. Technologies such as 5G, IoT, and M2M developments are also driving the adoption of Virtualized Evolved Packet Core. More opportunities for cutting-edge mobile-core network systems will become available as these technologies develop. Theoretically, mobile operators can design networks by virtualizing advanced Packet Core capabilities and combining and rearranging certain network elements to meet the unique needs of different consumers. Additionally, vEPC can save CAPEX and OPEX while accelerating service delivery, enabling on-demand scalability, and reacting to real-time network conditions and user needs by reducing reliance on specialist hardware.
Expanding Mobile Network Data Traffic
The key factors propelling the growth of the Virtualized Evolved Packet Core Market are rising demand for 5G network commercialization, IoT deployment, and agile networks; rising demand for broadband services over mobile networks; and growing need to reduce operational expenditure (OPEX) and capital expenditure (CAPEX). However, factors including the economic slow down and the increasing number of security concerns across the network infrastructure are hindering the market growth.
Additionally, due to the rising use of smartphones and the accessibility of low-cost, high-speed network connections, mobile data traffic is growing all across Vietnam. For instance, according to GSMA Intelligence, the percentage of people who own a smartphone is predicted to rise from 65% in 2021 to 80% by the end of 2025. As a result, virtualized evolving packet core solutions are now required to manage the expanding mobile data traffic. The efficient management of mobile data traffic by a virtualized evolving packet core increases throughput, reduces network congestion problems, optimizes resource consumption, and improves service quality.
Technology Development in Cellular Networks
Another key factors driving the use of virtualized evolved packet core systems is the advancement of cellular network technology, which offers faster data throughput and lower latency. Consumer desire for video as well as business and consumer move to adopt cloud services have been major drivers of the fast increasing data volume. The increasing use of services and applications in consumer electronics devices and business-to-business (B2B) communication systems, which are currently testing or using data-intensive applications such as AR, VR, 3D, and ultra-HD video content, is the main factor driving demand for mobile data services. Mobile data traffic has increased as a result of cellular networks carrying a significant amount of data. The virtualized evolving packet core is anticipated to be driven by a sharp growth in mobile data traffic.
Restraining factors
This market's expansion is hampered by resistance to switching to virtual infrastructure and competition from traditional infrastructure. Furthermore, the market for virtualized evolving packet cores has a lot of prospects due to the growth in machine-to-machine (M2M) and Internet of Things (IoT) communication devices. The transfer from traditional infrastructure, or legacy infrastructure, to virtualization is one of the biggest difficulties that enterprises today face. The majority of businesses still lack the knowledge and resources necessary to make the switch to virtualization, which limits the market's expansion. Additionally, the market for the virtualized evolved packet core is anticipated to be constrained by the high cost associated with the shift toward virtualization.
Market Segmentation
The Vietnam Virtualized Evolved Packet Core Market is segmented on the basis of component type, end user, and use. Based on component type, the market is divided into solution and services. On the basis of end user, the market is divided into telecom operator and enterprise. Based on use, the market is further segmented into Internet of Things (IoT) and Machine to Machine (M2M), Mobile Private Networks (MPN’s) and Mobile Virtual Network Operators (MVNO’s).
Market player
Some of the major players in the Vietnam Virtualized Evolved Packet Core Market include Affirmed Networks, Inc., Ericsson AB, Huawei Technologies (Vietnam) Co., Ltd, ZTE Corporation, NEC Vietnam Co., Ltd, Nokia Vietnam Technology and Network Services Co., Ltd, Cisco Systems Vietnam Co., Ltd., Samsung Electronics Vietnam Company Limited, Mavenir Systems, and Athonet.
Report Scope:
In this report, Vietnam Virtualized Evolved Packet Core Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
o Vietnam Virtualized Evolved Packet Core Market, By Component Type:
o Solution
o Services
o Vietnam Virtualized Evolved Packet Core Market, By End User:
o Telecom Operator
o Enterprise
o Vietnam Virtualized Evolved Packet Core Market, By Use:
o Internet of Things (IoT) and Machine to Machine (M2M)
o Mobile Private Networks (MPN’s) and Mobile Virtual Network Operators (MVNO’s)
o Vietnam Virtualized Evolved Packet Core Market, By Region:
o Northern Vietnam
o Southern Vietnam
o Central Vietnam
Competitive Landscape
Company Profiles: Detailed analysis of the major companies present in the Vietnam Virtualized Evolved Packet Core Market
Available Customizations:
With the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
o Detailed analysis and profiling of additional market players (up to five).



ページTOPに戻る


Table of Contents

1. Service Overview
2. Research Methodology
3. Impact of COVID-19 on Global Natural Language Processing Market
4. Executive Summary
5. Voice of Customers
6. Global Natural Language Processing Market Outlook
6.1. Market Size & Forecast
6.1.1. By Value
6.2. Market Share & Forecast
6.2.1. By Component (Service, Solution and Managed Services)
6.2.2. By Deployment (On-Premises and Cloud)
6.2.3. By Organization (Large Enterprises, Small & Medium Enterprises)
6.2.4. By Type (Statistical, Hybrid and Rule Based)
6.2.5. By Application (Automatic Text Summarization, Semantic Analysis, Text Extraction, Sentiment Analysis, Speech Recognition, Machine Translation, Others)
6.2.6. By Industry Vertical (BFSI, IT & Telecommunication, Healthcare & Life Science, Retail & E-Commerce, Government & Public Sector, Others)
6.2.7. By Region (North America, Europe, Asia-Pacific, South America, Middle East & Africa (MEA))
6.3. By Company (2022)
6.4. Market Map
7. North America Natural Language Processing Market Outlook
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component
7.2.2. By Deployment
7.2.3. By Organization
7.2.4. By Type
7.2.5. By Application
7.2.6. By Industry Vertical
7.2.7. By Country
7.3. North America: Country Analysis
7.3.1. United States Natural Language Processing Market Outlook
7.3.1.1. Market Size & Forecast
7.3.1.1.1. By Value
7.3.1.2. Market Share & Forecast
7.3.1.2.1. By Component
7.3.1.2.2. By Deployment
7.3.1.2.3. By Organization
7.3.1.2.4. By Type
7.3.1.2.5. By Application
7.3.1.2.6. By Industry Vertical
7.3.2. Canada Natural Language Processing Market Outlook
7.3.2.1. Market Size & Forecast
7.3.2.1.1. By Value
7.3.2.2. Market Share & Forecast
7.3.2.2.1. By Component
7.3.2.2.2. By Deployment
7.3.2.2.3. By Organization
7.3.2.2.4. By Type
7.3.2.2.5. By Application
7.3.2.2.6. By Industry Vertical
7.3.3. Mexico Natural Language Processing Market Outlook
7.3.3.1. Market Size & Forecast
7.3.3.1.1. By Value
7.3.3.2. Market Share & Forecast
7.3.3.2.1. By Component
7.3.3.2.2. By Deployment
7.3.3.2.3. By Organization
7.3.3.2.4. By Type
7.3.3.2.5. By Application
7.3.3.2.6. By Industry Vertical
8. Asia-Pacific Natural Language Processing Market Outlook
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment
8.2.3. By Organization
8.2.4. By Type
8.2.5. By Application
8.2.6. By Industry Vertical
8.2.7. By Country
8.3. Asia-Pacific: Country Analysis
8.3.1. China Natural Language Processing Market Outlook
8.3.1.1. Market Size & Forecast
8.3.1.1.1. By Value
8.3.1.2. Market Share & Forecast
8.3.1.2.1. By Component
8.3.1.2.2. By Deployment
8.3.1.2.3. By Organization
8.3.1.2.4. By Type
8.3.1.2.5. By Application
8.3.1.2.6. By Industry Vertical
8.3.2. Japan Natural Language Processing Market Outlook
8.3.2.1. Market Size & Forecast
8.3.2.1.1. By Value
8.3.2.2. Market Share & Forecast
8.3.2.2.1. By Component
8.3.2.2.2. By Deployment
8.3.2.2.3. By Organization
8.3.2.2.4. By Type
8.3.2.2.5. By Application
8.3.2.2.6. By Industry Vertical
8.3.3. South Korea Natural Language Processing Market Outlook
8.3.3.1. Market Size & Forecast
8.3.3.1.1. By Value
8.3.3.2. Market Share & Forecast
8.3.3.2.1. By Component
8.3.3.2.2. By Deployment
8.3.3.2.3. By Organization
8.3.3.2.4. By Type
8.3.3.2.5. By Application
8.3.3.2.6. By Industry Vertical
8.3.4. India Natural Language Processing Market Outlook
8.3.4.1. Market Size & Forecast
8.3.4.1.1. By Value
8.3.4.2. Market Share & Forecast
8.3.4.2.1. By Component
8.3.4.2.2. By Deployment
8.3.4.2.3. By Organization
8.3.4.2.4. By Type
8.3.4.2.5. By Application
8.3.4.2.6. By Industry Vertical
8.3.5. Australia Natural Language Processing Market Outlook
8.3.5.1. Market Size & Forecast
8.3.5.1.1. By Value
8.3.5.2. Market Share & Forecast
8.3.5.2.1. By Component
8.3.5.2.2. By Deployment
8.3.5.2.3. By Organization
8.3.5.2.4. By Type
8.3.5.2.5. By Application
8.3.5.2.6. By Industry Vertical
9. Europe Natural Language Processing Market Outlook
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment
9.2.3. By Organization
9.2.4. By Type
9.2.5. By Application
9.2.6. By Industry Vertical
9.2.7. By Country
9.3. Europe: Country Analysis
9.3.1. United Kingdom Natural Language Processing Market Outlook
9.3.1.1. Market Size & Forecast
9.3.1.1.1. By Value
9.3.1.2. Market Share & Forecast
9.3.1.2.1. By Component
9.3.1.2.2. By Deployment
9.3.1.2.3. By Organization
9.3.1.2.4. By Type
9.3.1.2.5. By Application
9.3.1.2.6. By Industry Vertical
9.3.2. Germany Natural Language Processing Market Outlook
9.3.2.1. Market Size & Forecast
9.3.2.1.1. By Value
9.3.2.2. Market Share & Forecast
9.3.2.2.1. By Component
9.3.2.2.2. By Deployment
9.3.2.2.3. By Organization
9.3.2.2.4. By Type
9.3.2.2.5. By Application
9.3.2.2.6. By Industry Vertical
9.3.3. France Natural Language Processing Market Outlook
9.3.3.1. Market Size & Forecast
9.3.3.1.1. By Value
9.3.3.2. Market Share & Forecast
9.3.3.2.1. By Component
9.3.3.2.2. By Deployment
9.3.3.2.3. By Organization
9.3.3.2.4. By Type
9.3.3.2.5. By Application
9.3.3.2.6. By Industry Vertical
9.3.4. Italy Natural Language Processing Market Outlook
9.3.4.1. Market Size & Forecast
9.3.4.1.1. By Value
9.3.4.2. Market Share & Forecast
9.3.4.2.1. By Component
9.3.4.2.2. By Deployment
9.3.4.2.3. By Organization
9.3.4.2.4. By Type
9.3.4.2.5. By Application
9.3.4.2.6. By Industry Vertical
9.3.5. Spain Natural Language Processing Market Outlook
9.3.5.1. Market Size & Forecast
9.3.5.1.1. By Value
9.3.5.2. Market Share & Forecast
9.3.5.2.1. By Component
9.3.5.2.2. By Deployment
9.3.5.2.3. By Organization
9.3.5.2.4. By Type
9.3.5.2.5. By Application
9.3.5.2.6. By Industry Vertical
10. South America Natural Language Processing Market Outlook
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment
10.2.3. By Organization
10.2.4. By Type
10.2.5. By Application
10.2.6. By Industry Vertical
10.2.7. By Country
10.3. South America: Country Analysis
10.3.1. Brazil Natural Language Processing Market Outlook
10.3.1.1. Market Size & Forecast
10.3.1.1.1. By Value
10.3.1.2. Market Share & Forecast
10.3.1.2.1. By Component
10.3.1.2.2. By Deployment
10.3.1.2.3. By Organization
10.3.1.2.4. By Type
10.3.1.2.5. By Application
10.3.1.2.6. By Industry Vertical
10.3.2. Argentina Natural Language Processing Market Outlook
10.3.2.1. Market Size & Forecast
10.3.2.1.1. By Value
10.3.2.2. Market Share & Forecast
10.3.2.2.1. By Component
10.3.2.2.2. By Deployment
10.3.2.2.3. By Organization
10.3.2.2.4. By Type
10.3.2.2.5. By Application
10.3.2.2.6. By Industry Vertical
10.3.3. Colombia Natural Language Processing Market Outlook
10.3.3.1. Market Size & Forecast
10.3.3.1.1. By Value
10.3.3.2. Market Share & Forecast
10.3.3.2.1. By Component
10.3.3.2.2. By Deployment
10.3.3.2.3. By Organization
10.3.3.2.4. By Type
10.3.3.2.5. By Application
10.3.3.2.6. By Industry Vertical
11. Middle East & Africa Natural Language Processing Market Outlook
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Deployment
11.2.3. By Organization
11.2.4. By Type
11.2.5. By Application
11.2.6. By Industry Vertical
11.2.7. By Country
11.3. Middle East & Africa: Country Analysis
11.3.1. UAE Natural Language Processing Market Outlook
11.3.1.1. Market Size & Forecast
11.3.1.1.1. By Value
11.3.1.2. Market Share & Forecast
11.3.1.2.1. By Component
11.3.1.2.2. By Deployment
11.3.1.2.3. By Organization
11.3.1.2.4. By Type
11.3.1.2.5. By Application
11.3.1.2.6. By Industry Vertical
11.3.2. Kuwait Natural Language Processing Market Outlook
11.3.2.1. Market Size & Forecast
11.3.2.1.1. By Value
11.3.2.2. Market Share & Forecast
11.3.2.2.1. By Component
11.3.2.2.2. By Deployment
11.3.2.2.3. By Organization
11.3.2.2.4. By Type
11.3.2.2.5. By Application
11.3.2.2.6. By Industry Vertical
11.3.3. Saudi Arabia Natural Language Processing Market Outlook
11.3.3.1. Market Size & Forecast
11.3.3.1.1. By Value
11.3.3.2. Market Share & Forecast
11.3.3.2.1. By Component
11.3.3.2.2. By Deployment
11.3.3.2.3. By Organization
11.3.3.2.4. By Type
11.3.3.2.5. By Application
11.3.3.2.6. By Industry Vertical
11.3.4. South Africa Natural Language Processing Market Outlook
11.3.4.1. Market Size & Forecast
11.3.4.1.1. By Value
11.3.4.2. Market Share & Forecast
11.3.4.2.1. By Component
11.3.4.2.2. By Deployment
11.3.4.2.3. By Organization
11.3.4.2.4. By Type
11.3.4.2.5. By Application
11.3.4.2.6. By Industry Vertical
12. Market Dynamics
12.1. Drivers
12.1.1. Rising Demand and Adoption of Cloud-based Technologies
12.1.2. Increasing Adoption of Technology in the Healthcare Industry
12.1.3. Growing use of Smart Devices in the Industry
12.2. Challenges
12.2.1. Lack of Skilled Professional across the Industry
12.2.2. Operational Complexity from Traditional to Advanced Technology
13. Market Trends & Developments
13.1. Surge in Demand for Corporate Solutions to Optimize Business Operations for Better Client Experience
13.2. Increasing Adoption of Cognitive Technology in the Field of Artificial Intelligence (AI)
13.3. Increasing Government Initiatives
13.4. Changing Business needs due to Covid-19 Driving Adoption
13.5. Rising adoption of Cloud Computing services
14. Company Profiles
14.1. Microsoft Corporation
14.1.1. Business Overview
14.1.2. Key Revenue and Financials
14.1.3. Recent Developments
14.1.4. Key Personnel
14.1.5. Key Product/Services
14.2. IBM Corporation
14.2.1. Business Overview
14.2.2. Key Revenue and Financials
14.2.3. Recent Developments
14.2.4. Key Personnel
14.2.5. Key Product/Services
14.3. Apple Inc.
14.3.1. Business Overview
14.3.2. Key Revenue and Financials
14.3.3. Recent Developments
14.3.4. Key Personnel
14.3.5. Key Product/Services
14.4. 3M Company
14.4.1. Business Overview
14.4.2. Key Revenue and Financials
14.4.3. Recent Developments
14.4.4. Key Personnel
14.4.5. Key Product/Services
14.5. Amazon Inc.
14.5.1. Business Overview
14.5.2. Key Revenue and Financials
14.5.3. Recent Developments
14.5.4. Key Personnel
14.5.5. Key Product/Services
14.6. Google Inc.
14.6.1. Business Overview
14.6.2. Key Revenue and Financials
14.6.3. Recent Developments
14.6.4. Key Personnel
14.6.5. Key Product/Services
14.7. Dolbey Systems, Inc.
14.7.1. Business Overview
14.7.2. Key Revenue and Financials
14.7.3. Recent Developments
14.7.4. Key Personnel
14.7.5. Key Product/Services
14.8. Intel Corporation
14.8.1. Business Overview
14.8.2. Key Revenue and Financials
14.8.3. Recent Developments
14.8.4. Key Personnel
14.8.5. Key Product/Services
14.9. Baidu, Inc.
14.9.1. Business Overview
14.9.2. Key Revenue and Financials
14.9.3. Recent Developments
14.9.4. Key Personnel
14.9.5. Key Product/Services
14.10. Veritone Inc.
14.10.1. Business Overview
14.10.2. Key Revenue and Financials
14.10.3. Recent Developments
14.10.4. Key Personnel
14.10.5. Key Product/Services
15. Strategic Recommendations
16. About Us & Disclaimer
(Note: The companies list can be customized based on the client requirements.)

 

ページTOPに戻る

ご注文は、お電話またはWEBから承ります。お見積もりの作成もお気軽にご相談ください。

webからのご注文・お問合せはこちらのフォームから承ります

TechSci Research 社の最新刊レポート

本レポートと同じKEY WORD(iot)の最新刊レポート


よくあるご質問


TechSci Research社はどのような調査会社ですか?


テックサイリサーチ(TechSci Research)は、カナダ、英国、インドに拠点を持ち、化学、IT、環境、消費財と小売、自動車、エネルギーと発電の市場など、多様な産業や地域を対象とした調査・出版活... もっと見る


調査レポートの納品までの日数はどの程度ですか?


在庫のあるものは速納となりますが、平均的には 3-4日と見て下さい。
但し、一部の調査レポートでは、発注を受けた段階で内容更新をして納品をする場合もあります。
発注をする前のお問合せをお願いします。


注文の手続きはどのようになっていますか?


1)お客様からの御問い合わせをいただきます。
2)見積書やサンプルの提示をいたします。
3)お客様指定、もしくは弊社の発注書をメール添付にて発送してください。
4)データリソース社からレポート発行元の調査会社へ納品手配します。
5) 調査会社からお客様へ納品されます。最近は、pdfにてのメール納品が大半です。


お支払方法の方法はどのようになっていますか?


納品と同時にデータリソース社よりお客様へ請求書(必要に応じて納品書も)を発送いたします。
お客様よりデータリソース社へ(通常は円払い)の御振り込みをお願いします。
請求書は、納品日の日付で発行しますので、翌月最終営業日までの当社指定口座への振込みをお願いします。振込み手数料は御社負担にてお願いします。
お客様の御支払い条件が60日以上の場合は御相談ください。
尚、初めてのお取引先や個人の場合、前払いをお願いすることもあります。ご了承のほど、お願いします。


データリソース社はどのような会社ですか?


当社は、世界各国の主要調査会社・レポート出版社と提携し、世界各国の市場調査レポートや技術動向レポートなどを日本国内の企業・公官庁及び教育研究機関に提供しております。
世界各国の「市場・技術・法規制などの」実情を調査・収集される時には、データリソース社にご相談ください。
お客様の御要望にあったデータや情報を抽出する為のレポート紹介や調査のアドバイスも致します。



詳細検索

このレポートへのお問合せ

03-3582-2531

電話お問合せもお気軽に

 

2024/07/19 10:26

158.49 円

173.02 円

207.86 円

ページTOPに戻る