創薬における人工知能（AI）の世界市場機会と2032年までの戦略Including：1）技術別1)技術別：コンテキストアウェア処理、自然言語処理、クエリ手法、ディープラーニング2)薬剤タイプ別：低分子、高分子3)治療薬タイプ別：低分子、高分子薬剤タイプ別：低分子、高分子3)治療タイプ別：代謝性疾患、心疾患：エンドユーザー別：製薬企業、バイオ製薬企業、学術・研究機関4)カバー範囲IBM Corporation; Microsoft Corporation; NVIDIA Corporation; Exscientia; Alphabet; Atomwise Inc.

Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2032Including: 1) By Technology: Context-Aware Processing; Natural Language Processing; Querying Method; Deep Learning2) By Drug Type: Small Molecules; Large Molecules3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Anti-Infective Diseases; Respiratory Diseases4) By End User: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research InstitutesCovering: IBM Corporation; Microsoft Corporation; NVIDIA Corporation; Exscientia; Alphabet; Atomwise Inc.

この調査レポートは、創薬における人工知能（AI）の世界市場のビジネスチャンスと2032年までの戦略を掲載し、戦略担当者、マーケティング担当者、上級管理職が創薬における人工知能（AI）の世界市場を評価するた... もっと見る

出版社	出版年月	電子版価格	ページ数	言語
The Business Research Company　(TBRC) ザ・ビジネスリサーチカンパニー	2023年6月28日	US$5,000 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	340	英語

サマリー

この調査レポートは、創薬における人工知能（AI）の世界市場のビジネスチャンスと2032年までの戦略を掲載し、戦略担当者、マーケティング担当者、上級管理職が創薬における人工知能（AI）の世界市場を評価するために必要な重要情報を提供しています。

購入の理由
- 12地域をカバーするこの市場に関する最も包括的なレポートにより、真にグローバルな視点を得ることができます。
- 市場がコロナウイルスによってどのような影響を受けているのか、また、ウイルスの影響が和らぐにつれて市場がどのように浮上し、成長していくのかを理解することができます。
- 現地のデータと分析に基づき、地域別および国別の戦略を策定します。
- 投資の対象となる成長セグメントを特定する。
- 予測データと市場を形成するドライバーとトレンドを活用し、競合他社を凌駕する。
- 最新の市場調査結果に基づいて顧客を理解する。
- 主要な競合他社とのパフォーマンスの比較
- 主要データセット間の関係を活用し、優れた戦略を立てる。
- 信頼性の高い高品質なデータと分析により、社内外のプレゼンテーションをサポートします。

説明
創薬における人工知能（AI）の最大かつ最速の成長市場はどこか？経済全体、人口動態、その他の類似市場との関連は？今後どのような力が市場を形成していくのか？The Business Research Companyの創薬における人工知能（AI）世界市場レポートでは、これらすべての疑問やその他多くの疑問にお答えします。

当レポートでは、市場の特徴、規模と成長、セグメンテーション、地域別および国別内訳、競合環境、市場シェア、市場の動向と戦略について記載しています。地域別に市場の過去および予測成長を追跡しています。また、同市場を創薬における人工知能（AI）市場全体の中で位置づけ、他市場との比較も行っています。

本レポートは以下の章をカバーしています：

-序論と市場の特徴
創薬市場における人工知能（AI）市場の定義と解説、市場の対象となるセグメンテーションの簡単な紹介。
-主要動向
世界の創薬分野における人工知能（AI）市場を形成している主要な動向をハイライトしています。また、今後の市場動向についても解説します。
-世界の市場規模と成長
世界の過去（2017年～2022年）、予測（2022年～2027年）、（2027年～2032年）市場価値、過去および予測期間における市場成長を支え、制御する推進要因と阻害要因。
-地域別分析
地域別の過去（2017-2022年）、予測（2022-2027年）、（2027-2032年）市場価値と成長率、市場シェア比較。
-市場セグメンテーション
市場の技術別、薬剤タイプ別、治療タイプ別、エンドユーザー別のセグメント別市場価値（2017-2032年）と分析を収録。
-地域別市場規模と成長
地域別の市場規模（2022年）、過去（2017年～2022年）と予測（2022年～2027年）、（2027年～2032年）の市場価値、地域内の国々の成長と市場シェア比較。本レポートには、アジア太平洋、西欧、東欧、北米、南米、中東、アフリカの全地域と各地域内の主要国に関する情報が含まれています。
-競争環境
市場の競争状況、推定市場占有率、主要企業の会社プロファイルの詳細を掲載しています。
-主要なM&A
本レポートでカバーしている市場における最近のM&Aに関する情報を掲載しています。本セクションでは、近年の市場を形成したM&Aに関する主要な財務情報を提供します。
-市場機会と戦略
調査結果に基づく市場機会と戦略について、国やセグメントごとの成長機会や、それらの市場で取るべき戦略に関する情報を記載しています。
-結論と提言
このセクションでは、製品/サービスの提供地域拡大、マーケティング戦略、ターゲットグループなどの観点から、創薬における人工知能（AI）プロバイダーへの推奨事項を記載しています。
-付録
このセクションには、本レポートで使用されているNAICSコード、略語、通貨コードの詳細が含まれています。

スコープ

対象市場
1) 技術別コンテキストアウェア処理、自然言語処理、クエリ手法、ディープラーニング
2) 薬剤タイプ別低分子、高分子
3) 治療タイプ別治療タイプ別：代謝性疾患、心血管疾患、がん、神経変性疾患、抗感染症疾患、呼吸器疾患、その他の治療薬
4) エンドユーザー別：製薬企業、バイオ製薬企業、学術・研究機関、その他のエンドユーザー

言及された企業IBM Corporation、Microsoft Corporation、NVIDIA Corporation、Exscientia、Alphabet、Atomwise Inc.

国中国、オーストラリア、インド、インドネシア、日本、韓国、米国、ブラジル、フランス、ドイツ、英国、ロシア

地域アジア太平洋; 西ヨーロッパ; 東ヨーロッパ; 北アメリカ; 南アメリカ; 中東; アフリカ.

時系列：過去5年間および過去10年間の予測。

データ：データ：市場規模と成長率の関連市場に対する比率、GDP比率、一人当たり支出、創薬指標における人工知能（AI）の比較。

データ区分：国別・地域別の過去データと予測データ、競合他社の市場シェア、市場セグメント。

ソーシングと参照：本レポート中のデータおよび分析は、エンドノートを使用しています。

当レポートでは、創薬における人工知能（AI）市場について解説し、歴史的期間と称する2017-2022年と予測期間と称する2022-2027年をカバーし、さらに2027-2032年の予測も掲載しています。本レポートでは、各地域および各地域内の主要経済圏における市場を評価しています。

創薬における世界の人工知能（AI）市場は、2017年以降30.5%の年平均成長率（CAGR）で成長し、2022年には約10億4,230万ドルの規模に達した。同市場は、2022年の10億4230万ドルから2027年には37億3920万ドルに29.1%の成長率で拡大すると予測される。その後、2027年からCAGR 25.7%で成長し、2032年には117億2910万ドルに達すると予想される。

歴史的期間の成長は、新興市場の成長、慢性疾患の有病率の上昇、コスト効率の高い創薬のための人工知能（AI）の採用増加、医薬品メーカーに対する厳格な品質規制の強化に起因する。歴史的期間の成長にマイナスの影響を与えた要因は、発展途上国における医療アクセスの低さ、熟練労働者の不足、AIプロジェクトの高い失敗率であった。

今後は、政府の支援、医療費の増加、クラウドベースのアプリケーションとサービスの採用増加が成長を促進するだろう。今後の創薬人工知能（AI）市場の成長を阻害する要因としては、多くの国で医療ITインフラに互換性がないことなどが挙げられる。

創薬における人工知能（AI）市場は、技術別にコンテキスト認識処理、自然言語処理、クエリ方式、ディープラーニングに区分される。ディープラーニング市場は、技術別に区分された創薬における人工知能（AI）市場において最大のセグメントであり、2022年には全体の33.9％を占めた。今後、ディープラーニング分野は、技術別にセグメント化された創薬における人工知能（AI）市場において、2022～2027年の年平均成長率29.12％で最も急成長する分野となる見込みである。

創薬における人工知能（AI）市場は、薬剤の種類によって低分子と高分子に区分される。創薬における人工知能（AI）市場を薬剤タイプ別に区分すると、低分子市場が最大のセグメントであり、2022年には全体の63.2%を占めた。今後、医薬品の種類別にセグメント化された創薬における人工知能（AI）市場において、2022～2027年のCAGRは31.7%で、高分子セグメントが最も急成長すると予想される。

創薬における人工知能（AI）市場は、治療薬タイプ別に代謝性疾患、心血管疾患、腫瘍、神経変性疾患、抗感染性疾患、呼吸器疾患、その他の治療薬に区分される。創薬における人工知能（AI）市場を治療タイプ別に分類すると、がん市場が最大のセグメントで、2022年には全体の23.2％を占めた。今後、その他の治療薬セグメントは、治療タイプ別にセグメント化された創薬における人工知能（AI）市場において、2022～2027年のCAGR29.9%で最も急成長するセグメントとなる見込みである。

創薬における人工知能（AI）市場は、エンドユーザー別に製薬企業、バイオ製薬企業、学術・研究機関、その他のエンドユーザーに区分される。エンドユーザー別に区分した創薬における人工知能（AI）市場では、製薬会社市場が最大のセグメントで、2022年には全体の50.2％を占めた。今後、エンドユーザー別にセグメント化された創薬における人工知能（AI）市場において、バイオ製薬企業セグメントが2022～2027年のCAGR32.4%で最も急成長する見込みである。

北米は、創薬における人工知能（AI）市場において最大の地域であり、2022年には全体の41.9%を占めた。次いで西欧、その他の地域と続く。今後、創薬における人工知能（AI）市場で最も成長率が高い地域は南米とアジア太平洋で、それぞれCAGR37.6%とX35.8%で成長する。これに続くのはアフリカと西欧で、それぞれCAGR 32.8％と31.4％の成長が見込まれる。

創薬における人工知能（AI）市場は、小規模なプレーヤーが多数存在し、非常に集中している。同市場における上位10社の競合企業は、2021年の市場全体の79.32%を占めている。IBM Corporationが市場シェア32.27%で最大、次いでMicrosoft Corporationが21.25%、NVIDIA Corporationが11.90%、Exscientiaが3.28%、Alphabetが2.85%、Atomwise Inc.が1.89%、Insilico Medicineが1.87%、Owkin Inc.が1.66%、Xtalpi Inc.が1.33%、Cloud Pharmaceuticalsが1.01%となっている。

創薬における人工知能（AI）市場を技術別にセグメント化すると、ディープラーニング（深層学習）分野で最大のビジネスチャンスが生まれ、2027年までに世界の年間売上高が9億1460万ドルに達するだろう。薬剤の種類別にセグメント化した創薬における人工知能（AI）市場における最大のビジネスチャンスは、低分子セグメントで発生し、2027年までに世界の年間売上高で15億5,980万ドルを獲得する。治療法のタイプ別に区分した創薬における人工知能（AI）市場における最大のビジネスチャンスは、2027年までに世界年間売上高6億4220万ドルを獲得する腫瘍学セグメントで発生する。エンドユーザー別にセグメント化された創薬における人工知能（AI）市場における最大のビジネスチャンスは、製薬会社のセグメントで発生し、2027年までに12億4,510万ドルの世界年間売上高を獲得する。創薬における人工知能（AI）市場規模は、米国で7億4,000万ドルと最も大きくなる。

創薬における人工知能（AI）市場の市場トレンドに基づく戦略には、マルチオミクスデータの統合、標的選択におけるAIの利用、薬剤スクリーニングにおけるAIの利用、AIイノベーションラボの導入、投資の増加、パートナーシップとコラボレーションなどが含まれる。

創薬における人工知能（AI）市場におけるプレーヤー採用戦略には、新ソリューションの投入による業務能力の強化、戦略的提携やパートナーシップによる事業運営の強化などが含まれる。

ビジネスリサーチカンパニーは、この機会を活用するために、創薬における人工知能（AI）企業に対して、創薬スクリーニングにおけるAIの活用に注力すること、標的選択におけるAIの活用に注力すること、マルチオミクスデータの統合に注力すること、新興市場での拡大を図ること、先進国市場に引き続き注力すること、パートナーシップとコラボレーションに注力すること、競争力のある価格の製品を提供すること、展示会やイベントに参加すること、B2Bプロモーションを引き続き活用すること、急成長している治療領域に注力すること、急成長しているエンドユーザーを引き続きターゲットにすることを推奨している。

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1. Executive Summary
2. Table Of Contents
3. List Of Figures
4. List Of Tables
5. Report Structure
6. Introduction And Market Characteristics
6.1. General Market Definition
6.2. Summary
6.3. Artificial Intelligence (AI) In Drug Discovery Market Definition And Segmentations
6.4. Market Segmentation By Technology
6.4.1. Context-Aware Processing
6.4.2. Natural Language Processing
6.4.3. Querying Method
6.4.4. Deep Learning
6.5. Market Segmentation By Drug Type
6.5.1. Small Molecules
6.5.2. Large Molecules
6.6. Market Segmentation By Therapeutic Type
6.6.1. Metabolic Diseases
6.6.2. Cardiovascular Disease
6.6.3. Oncology
6.6.4. Neurodegenerative Diseases
6.6.5. Respiratory Diseases
6.6.6. Anti-Infective Diseases
6.6.7. Other Therapeutics
6.7. Market Segmentation By End-User
6.7.1. Pharmaceutical Companies
6.7.2. Biopharmaceutical Companies
6.7.3. Academic And Research Institutes
6.7.4. Other End-Users
7. Major Market Trends
7.1. Integration of Multi-Omics Data
7.2. Increasing Investments
7.3. Use Of AI In Drug Screening
7.4. Use Of AI In Target Selection
7.5. Introduction Of AI Innovation Labs
7.6. Partnerships And Collaborations
8. Global Market Size And Growth
8.1. Market Size
8.2. Historic Market Growth, 2017 – 2022, Value ($ Million)
8.2.1. Market Drivers 2017 – 2022
8.2.2. Market Restraints 2017 – 2022
8.3. Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
8.3.1. Market Drivers 2022 – 2027
8.3.2. Market Restraints 2022 – 2027
9. Global Artificial Intelligence (AI) In Drug Discovery Market Segmentation
9.1. Global Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
9.2. Global Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
9.3. Global Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
9.4. Global Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By End User, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
10. Artificial Intelligence (AI) In Drug Discovery Market, Regional and Country Analysis
10.1. Global Artificial Intelligence (AI) In Drug Discovery Market, By Region, Historic and Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
10.2. Global Artificial Intelligence (AI) In Drug Discovery Market, By Country, Historic and Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11. Asia-Pacific Market
11.1. Summary
11.2. Market Overview
11.2.1. Region Information
11.2.2. Market Information
11.2.3. Background Information
11.2.4. Government Initiatives
11.2.5. Regulations
11.2.6. Regulatory Bodies
11.2.7. Major Associations
11.2.8. Taxes Levied
11.2.9. Corporate Tax Structure
11.2.10. Investments
11.2.11. Major Companies
11.3. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
11.4. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
11.5. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.6. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.7. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.8. Asia-Pacific Artificial Intelligence (AI) In Drug Discovery Market: Country Analysis
11.9. China Market
11.10. Summary
11.11. Market Overview
11.11.1. Country Information
11.11.2. Market Information
11.11.3. Background Information
11.11.4. Government Initiatives
11.11.5. Regulations
11.11.6. Regulatory Bodies
11.11.7. Major Associations
11.11.8. Taxes Levied
11.11.9. Corporate Tax Structure
11.11.10. Investments
11.11.11. Major Companies
11.12. China Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
11.13. China Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
11.14. China Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.15. China Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.16. China Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.17. India Market
11.18. India Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
11.19. India Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
11.20. India Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.21. India Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.22. India Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.23. Japan Market
11.24. Japan Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
11.25. Japan Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
11.26. Japan Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.27. Japan Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.28. Japan Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.29. Australia Market
11.30. Australia Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
11.31. Australia Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
11.32. Australia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.33. Australia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.34. Australia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.35. Indonesia Market
11.36. Indonesia Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
11.37. Indonesia Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
11.38. Indonesia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.39. Indonesia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.40. Indonesia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.41. South Korea Market
11.42. South Korea Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
11.43. South Korea Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
11.44. South Korea Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.45. South Korea Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
11.46. South Korea Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12. Western Europe Market
12.1. Summary
12.2. Market Overview
12.2.1. Region Information
12.2.2. Market Information
12.2.3. Background Information
12.2.4. Government Initiatives
12.2.5. Regulations
12.2.6. Regulatory Bodies
12.2.7. Major Associations
12.2.8. Taxes Levied
12.2.9. Corporate Tax Structure
12.2.10. Investments
12.2.11. Major Companies
12.3. Western Europe Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
12.4. Western Europe Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
12.5. Western Europe Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.6. Western Europe Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.7. Western Europe Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.8. Western Europe Artificial Intelligence (AI) In Drug Discovery Market: Country Analysis
12.9. UK Market
12.10. UK Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
12.11. UK Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
12.12. UK Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.13. UK Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.14. UK Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.15. Germany Market
12.16. Germany Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
12.17. Germany Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
12.18. Germany Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.19. Germany Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.20. Germany Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.21. France Market
12.22. France Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
12.23. France Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
12.24. France Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.25. France Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
12.26. France Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
13. Eastern Europe Market
13.1. Summary
13.2. Market Overview
13.2.1. Region Information
13.2.2. Market Information
13.2.3. Background Information
13.2.4. Government Initiatives
13.2.5. Regulations
13.2.6. Regulatory Bodies
13.2.7. Major Associations
13.2.8. Taxes Levied
13.2.9. Corporate Tax Structure
13.2.10. Investments
13.2.11. Major Companies
13.3. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
13.4. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
13.5. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
13.6. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
13.7. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
13.8. Eastern Europe Artificial Intelligence (AI) In Drug Discovery Market: Country Analysis
13.9. Russia Market
13.10. Russia Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
13.11. Russia Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
13.12. Russia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
13.13. Russia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
13.14. Russia Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
14. North America Market
14.1. Summary
14.2. Market Overview
14.2.1. Region Information
14.2.2. Market Information
14.2.3. Background Information
14.2.4. Government Initiatives
14.2.5. Regulations
14.2.6. Regulatory Bodies
14.2.7. Major Associations
14.2.8. Taxes Levied
14.2.9. Corporate Tax Structure
14.2.10. Investments
14.2.11. Major Companies
14.3. North America Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
14.4. North America Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
14.5. North America Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
14.6. North America Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
14.7. North America Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
14.8. North America Artificial Intelligence (AI) In Drug Discovery Market: Country Analysis
14.9. USA Market
14.10. Summary
14.11. Market Overview
14.11.1. Country Information
14.11.2. Market Information
14.11.3. Background Information
14.11.4. Government Initiatives
14.11.5. Regulations
14.11.6. Regulatory Bodies
14.11.7. Major Associations
14.11.8. Taxes Levied
14.11.9. Corporate Tax Structure
14.11.10. Investments
14.11.11. Major Companies
14.12. USA Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
14.13. USA Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
14.14. USA Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
14.15. USA Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
14.16. USA Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
15. South America Market
15.1. Summary
15.2. Market Overview
15.2.1. Region Information
15.2.2. Market Information
15.2.3. Background Information
15.2.4. Government Initiatives
15.2.5. Regulations
15.2.6. Regulatory Bodies
15.2.7. Major Associations
15.2.8. Taxes And Duties
15.2.9. Corporate Tax Structure
15.2.10. Investments
15.2.11. Major Companies
15.3. South America Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
15.4. South America Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
15.5. South America Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
15.6. South America Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
15.7. South America Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
15.8. South America Artificial Intelligence (AI) In Drug Discovery Market: Country Analysis
15.9. Brazil Market
15.10. Brazil Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
15.11. Brazil Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
15.12. Brazil Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
15.13. Brazil Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
15.14. Brazil Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
16. Middle East Market
16.1. Summary
16.2. Market Overview
16.2.1. Region Information
16.2.2. Market Information
16.2.3. Background Information
16.2.4. Government Initiatives
16.2.5. Regulations
16.2.6. Regulatory Bodies
16.2.7. Major Associations
16.2.8. Taxes Levied
16.2.9. Corporate Tax Structure
16.2.10. Investments
16.2.11. Major Companies
16.3. Middle East Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
16.4. Middle East Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
16.5. Middle East Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
16.6. Middle East Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
16.7. Middle East Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
17. Africa Market
17.1. Summary
17.2. Market Overview
17.2.1. Region Information
17.2.2. Market Information
17.2.3. Background Information
17.2.4. Government Initiatives
17.2.5. Regulations
17.2.6. Regulatory Bodies
17.2.7. Major Associations
17.2.8. Taxes Levied
17.2.9. Corporate Tax Structure
17.2.10. Investments
17.2.11. Major Companies
17.3. Africa Artificial Intelligence (AI) In Drug Discovery Market, Historic Market Growth, 2017 – 2022, Value ($ Million)
17.4. Africa Artificial Intelligence (AI) In Drug Discovery Market, Forecast Market Growth, 2022 – 2027, 2032F Value ($ Million)
17.5. Africa Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Technology, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
17.6. Africa Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Drug Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
17.7. Africa Artificial Intelligence (AI) In Drug Discovery Market, Segmentation By Therapeutic Type, Historic And Forecast, 2017 – 2022, 2027F, 2032F, Value ($ Million)
18. Competitive Landscape And Company Profiles
18.1. Company Profiles
18.2. IBM Corporation
18.2.1. Company Overview
18.2.2. Products And Services
18.2.3. Business Strategy
18.2.4. Financial Overview
18.3. Microsoft Corporation
18.3.1. Company Overview
18.3.2. Products And Services
18.3.3. Business Strategy
18.3.4. Financial Overview
18.4. NVIDIA Corporation
18.4.1. Company Overview
18.4.2. Products And Services
18.4.3. Business Strategy
18.4.4. Financial Overview
18.5. Exscientia plc
18.5.1. Company Overview
18.5.2. Products And Services
18.5.3. Business Strategy
18.5.4. Financial Overview
18.6. Alphabet Inc
18.6.1. Company Overview
18.6.2. Products And Services
18.6.3. Business Strategy
18.6.4. Financial Overview
19. Key Mergers And Acquisitions
19.1. Recursion Pharmaceuticals Acquired Cyclica And Valence
19.2. BioNTech Acquired InstaDeep
19.3. Verseon Corporation Acquired Edammo
19.4. iBio Acquired Rubryc Therapeutics
19.5. Odyssey Therapeutics Acquired Rahko
19.6. Genentech Acquired Prescient Design
19.7. X-Chem Acquired Glamorous AI
19.8. Exscientia Acquired Austrian Company Allcyte
19.9. Relay Therapeutics Acquired ZebiAI
20. Opportunities And Strategies
20.1. Global Artificial Intelligence (AI) In Drug Discovery Market In 2027 – Countries Offering Most New Opportunities
20.2. Global Artificial Intelligence (AI) In Drug Discovery Market In 2027 – Segments Offering Most New Opportunities
20.3. Global Artificial Intelligence (AI) In Drug Discovery Market In 2027 – Growth Strategies
20.3.1. Market Trend Based Strategies
20.3.2. Competitor Strategies
21. Artificial Intelligence (AI) In Drug Discovery Market, Conclusions And Recommendations
21.1. Conclusions
21.2. Recommendations
21.2.1. Product
21.2.2. Place
21.2.3. Price
21.2.4. Promotion
21.2.5. People
22. Appendix
22.1. Market Data Sources
22.2. Research Methodology
22.3. Currencies
22.4. The Business Research Company
22.5. Copyright and Disclaimer

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Table of Contents

Summary

Artificial Intelligence (AI) In Drug Discovery Global Market Opportunities And Strategies To 2032 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global artificial intelligence (AI) in drug discovery market as it emerges from the COVID-19 shut down.

Reasons to Purchase
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• Understand how the market is being affected by the coronavirus and how it is likely to emerge and grow as the impact of the virus abates.
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• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market research findings.
• Benchmark performance against key competitors.
• Utilize the relationships between key data sets for superior strategizing.
• Suitable for supporting your internal and external presentations with reliable high-quality data and analysis

Description:
Where is the largest and fastest growing market for artificial intelligence (AI) in drug discovery? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (AI) in drug discovery market global report from The Business Research Company answers all these questions and many more.

The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market’s historic and forecast market growth by geography. It places the market within the context of the wider artificial intelligence (AI) in drug discovery market; and compares it with other markets.

The report covers the following chapters:

•Introduction and Market Characteristics
Brief introduction to the segmentations covered in the market, definitions and explanations about the artificial intelligence (AI) in drug discovery market.
•Key Trends
Highlights the major trends shaping the global artificial intelligence (AI) in drug discovery market. This section also highlights likely future developments in the market.
•Global Market Size and Growth
Global historic (2017-2022) and forecast (2022-2027), and (2027-2032) market values, and drivers and restraints that support and control the growth of the market in the historic and forecast periods.
•Regional Analysis
Historic (2017-2022) and forecast (2022-2027), and (2027-2032) market values and growth and market share comparison by region.
•Market Segmentation
Contains the market values (2017-2032) and analysis for segment by technology, by drug type, by therapeutic type and by end-user in the market.
•Regional Market Size and Growth
Regional market size (2022), historic (2017-2022) and forecast (2022-2027), and (2027-2032) market values, and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
•Competitive Landscape
Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
•Key Mergers and Acquisitions
Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
•Market Opportunities And Strategies
Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
•Conclusions And Recommendations
This section includes recommendations for artificial intelligence (AI) in drug discovery providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
•Appendix
This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report.

Scope:

Markets Covered:
1) By Technology: Context-Aware Processing; Natural Language Processing; Querying Method; Deep Learning
2) By Drug Type: Small Molecules; Large Molecules
3) By Therapeutic Type: Metabolic Disease; Cardiovascular Disease; Oncology; Neurodegenerative Diseases; Anti-Infective Diseases; Respiratory Diseases; Other Therapeutics
4) By End User: Pharmaceutical Companies; Biopharmaceutical Companies; Academic And Research Institutes; Other End-Users

Companies Mentioned: IBM Corporation; Microsoft Corporation; NVIDIA Corporation; Exscientia; Alphabet; Atomwise Inc.

Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Brazil; France; Germany; UK; Russia.

Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa.

Time series: Five years historic and ten years forecast.

Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; artificial intelligence (AI) in drug discovery indicators comparison.

Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.

Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.

This report describes and explains the artificial intelligence (AI) in drug discovery market and covers 2017-2022, termed the historic period, and 2022-2027 termed the forecast period, along with further forecasts for the period 2027-2032. The report evaluates the market across each region and for the major economies within each region.

The global artificial intelligence (AI) in drug discovery market reached a value of nearly $1,042.3 million in 2022, having grown at a compound annual growth rate (CAGR) of 30.5% since 2017. The market is expected to grow from $1,042.3 million in 2022 to $3,739.2 million in 2027 at a rate of 29.1%. The market is then expected to grow at a CAGR of 25.7% from 2027 and reach $11,729.1 million in 2032.

Growth in the historic period resulted from growth in emerging markets, the rising prevalence of chronic diseases, the increased adoption of artificial intelligence (AI) for cost efficient drug discovery and the increasing strict quality regulations for drug manufacturers. Factors that negatively affected growth in the historic period were low healthcare access in developing countries, the shortage of skilled labor and the high failure rate of AI projects.

Going forward, the government support, the increasing healthcare expenditure and rising adoption of cloud-based applications and services will drive the growth. Factors that could hinder the growth of the artificial intelligence (AI) in drug discovery market in the future include the incompatible health IT infrastructure in many countries.

The artificial intelligence (AI) in drug discovery market is segmented by technology into context-aware processing, natural language processing, querying method and deep learning. The deep learning market was the largest segment of the artificial intelligence (AI) in drug discovery market segmented by technology, accounting for 33.9% of the total in 2022. Going forward, the deep learning segment is expected to be the fastest growing segment in the artificial intelligence (AI) in drug discovery market segmented by technology, at a CAGR of 29.12% during 2022-2027.

The artificial intelligence (AI) in drug discovery market is segmented by drug type into small molecules and large molecules. The small molecules market was the largest segment of the artificial intelligence (AI) in drug discovery market segmented by drug type, accounting for 63.2% of the total in 2022. Going forward, the large molecules segment is expected to be the fastest growing segment in the artificial intelligence (AI) in drug discovery market segmented by drug type, at a CAGR of 31.7% during 2022-2027.

The artificial intelligence (AI) in drug discovery market is segmented by therapeutic type into metabolic disease, cardiovascular disease, oncology, neurodegenerative diseases, anti-infective diseases, respiratory diseases and other therapeutics. The oncology market was the largest segment of the artificial intelligence (AI) in drug discovery market segmented by therapeutic type, accounting for 23.2% of the total in 2022. Going forward, the other therapeutics segment is expected to be the fastest growing segment in the artificial intelligence (AI) in drug discovery market segmented by therapeutic type, at a CAGR of 29.9% during 2022-2027.

The artificial intelligence (AI) in drug discovery market is segmented by end user into pharmaceutical companies, biopharmaceutical companies, academic and research institutes and other end-users. The pharmaceutical companies market was the largest segment of the artificial intelligence (AI) in drug discovery market segmented by end user, accounting for 50.2% of the total in 2022. Going forward, the biopharmaceutical companies segment is expected to be the fastest growing segment in the artificial intelligence (AI) in drug discovery market segmented by end user, at a CAGR of 32.4% during 2022-2027.

North America was the largest region in the artificial intelligence (AI) in drug discovery market, accounting for 41.9% of the total in 2022. It was followed by Western Europe, and then the other regions. Going forward, the fastest-growing regions in the artificial intelligence (AI) in drug discovery market will be South America and Asia-Pacific where growth will be at CAGRs of 37.6% and X35.8% respectively. These will be followed by Africa and Western Europe where the markets are expected to grow at CAGRs of 32.8% and 31.4% respectively.

The artificial intelligence (AI) in drug discovery market is highly concentrated, with a large number of small players. The top ten competitors in the market made up to 79.32% of the total market in 2021. IBM Corporation was the largest competitor with 32.27% share of the market, followed by Microsoft Corporation with 21.25%, NVIDIA Corporation with 11.90%, Exscientia with 3.28%, Alphabet with 2.85%, Atomwise Inc. with 1.89%, Insilico Medicine with 1.87%, Owkin Inc. with 1.66%, Xtalpi Inc with 1.33%, and Cloud Pharmaceuticals with 1.01%.

The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by technology will arise in the deep learning segment, which will gain $914.6 million of global annual sales by 2027. The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by drug type will arise in the small molecules segment, which will gain $1,559.8 million of global annual sales by 2027. The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by therapeutic type will arise in the oncology segment, which will gain $642.2 million of global annual sales by 2027. The top opportunities in the artificial intelligence (AI) in drug discovery market segmented by end user will arise in the pharmaceutical company’s segment, which will gain $1,245.1 million of global annual sales by 2027. The artificial intelligence (AI) in drug discovery market size will gain the most in the USA at $700.4 million.

Market-trend-based strategies for the artificial intelligence (AI) in drug discovery market include integration of multi-omics data, use of AI in target selection, use of AI in drug screening, introduction of AI innovation labs, increasing investments and partnerships and collaborations.

Player-adopted strategies in the artificial intelligence (AI) in drug discovery market include enhancing operational capabilities through the launch of new solutions and strengthening business operations through strategic collaborations and partnerships.

To take advantage of the opportunities, The Business Research Company recommends the artificial intelligence (AI) in drug discovery companies to focus on use of AI in drug screening, focus on use of ai in target selection, focus on integration of multi-omics data, expand in emerging markets, continue to focus on developed markets, focus on partnerships and collaborations, provide competitively priced offerings, participate in trade shows and events, continue to use B2B promotions, focus on fast-growing therapeutic areas and continue to target fast-growing end-users.

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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。

サマリー

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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。

本レポートと同分野（通信・IT）の最新刊レポート

The Business Research Company (TBRC)社のIT分野での最新刊レポート

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よくあるご質問

The Business Research Company (TBRC)社はどのような調査会社ですか?

調査レポートの納品までの日数はどの程度ですか?

注文の手続きはどのようになっていますか?

お支払方法の方法はどのようになっていますか?

データリソース社はどのような会社ですか?

The Business Research Company　(TBRC)社のIT分野での最新刊レポート

The Business Research Company　(TBRC)社はどのような調査会社ですか?