市場調查報告書
商品編碼
1413853
製藥業人工智慧市場:按產品、技術、應用和最終用戶分類 - 2024-2030 年全球預測Artificial Intelligence in Pharmaceutical Market by Offering (Hardware, Services, Software), Technology (Computer Vision, Context-Aware Computing, Machine Learning), Applications, End-users - Global Forecast 2024-2030 |
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人工智慧在製藥領域的市場規模預計2023年為162.1億美元,2024年達到207.6億美元,預計2030年將達到973.5億美元,複合年成長率為29.18%。
人工智慧在製藥領域的全球市場
主要市場統計 | |
---|---|
基準年[2023] | 162.1億美元 |
預測年份 [2024] | 207.6億美元 |
預測年份 [2030] | 973.5億美元 |
複合年成長率(%) | 29.18% |
製藥市場中的人工智慧(AI)是指將先進的機器學習演算法、自然語言處理和資料分析技術整合到全球製藥業的藥物研發、開發和製造流程中。為了改善治療效果而對個人化醫療的需求不斷成長,以及基因組學和高通量技術的進步產生了大量複雜的資料,需要先進的分析技術。然而,用於訓練機器學習模型的精選資料集的可得性有限,阻礙了人工智慧在醫學中的採用。然而,將巨量資料分析與人工智慧結合還可以提高我們對各種疾病分子機制的理解,並識別可能成為未來藥物標靶的新型生物標記。
區域洞察
在美國,由於先進技術的早期採用和政府的支援政策,醫藥人工智慧市場的環境正在改善。美國擁有多家領先的人工智慧新興企業,它們利用人工智慧進行藥物研發、分子建模、臨床試驗最佳化和個人化醫療。在美國,大型製藥企業正在與人工智慧主導的新興企業合作,並大力投資研究,以加速藥物研發發現和開發。在歐洲地區,法國、德國、英國等國紛紛推出國家戰略,推動人工智慧在醫藥等各產業的應用。儘管與其他地區相比進展緩慢,但中東國家正在透過人工智慧投資取得進展。非洲的潛力在於透過其不斷發展的製藥生態系統來應對其獨特的醫療保健挑戰。在亞太地區,以中國、日本和印度為首的人工智慧藥物領域正在取得顯著進展。此外,公共和私人對製藥基礎設施的投資不斷增加,為引入人工智慧創造了積極的環境。
FPNV定位矩陣
FPNV 定位矩陣對於評估製藥市場中的人工智慧至關重要。我們檢視與業務策略和產品滿意度相關的關鍵指標,以對供應商進行全面評估。這種深入的分析使用戶能夠根據自己的要求做出明智的決策。根據評估,供應商被分為四個成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對製藥市場人工智慧供應商的現狀進行深入而深入的研究。全面比較和分析供應商在整體收益、基本客群和其他關鍵指標方面的貢獻,以便更好地了解公司的績效及其在爭奪市場佔有率時面臨的挑戰。此外,該分析還提供了對該行業競爭特徵的寶貴考察,包括在研究基準年觀察到的累積、分散主導地位和合併特徵等因素。這種詳細程度的提高使供應商能夠做出更明智的決策並制定有效的策略,從而在市場上獲得競爭優勢。
1-市場滲透率:提供有關主要企業所服務的市場的全面資訊。
2-市場開拓:我們深入研究利潤豐厚的新興市場,並分析它們在成熟細分市場中的滲透率。
3- 市場多元化:提供有關新產品發布、開拓地區、最新發展和投資的詳細資訊。
4-競爭力評估與資訊:對主要企業的市場佔有率、策略、產品、認證、監管狀況、專利狀況、製造能力等進行全面評估。
5- 產品開發與創新:提供對未來技術、研發活動和突破性產品開發的見解。
1-人工智慧在醫藥領域的市場規模與預測是多少?
2-在人工智慧製藥市場的預測期內,有哪些產品、細分市場、應用和領域需要考慮投資?
3-人工智慧在製藥市場的技術趨勢和法律規範是什麼?
4-製藥市場人工智慧主要供應商的市場佔有率是多少?
5-進入醫藥人工智慧市場的合適型態和策略手段是什麼?
[199 Pages Report] The Artificial Intelligence in Pharmaceutical Market size was estimated at USD 16.21 billion in 2023 and expected to reach USD 20.76 billion in 2024, at a CAGR 29.18% to reach USD 97.35 billion by 2030.
Global Artificial Intelligence in Pharmaceutical Market
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 16.21 billion |
Estimated Year [2024] | USD 20.76 billion |
Forecast Year [2030] | USD 97.35 billion |
CAGR (%) | 29.18% |
Artificial intelligence (AI) in the pharmaceutical market refers to integrating advanced machine learning algorithms, natural language processing, and data analytics technologies into the drug discovery, development, and manufacturing processes of the global pharmaceutical industry. The growing demand for personalized medicine to improve treatment outcomes and advancements in genomics and high-throughput technologies generate large volumes of complex data requiring advanced analytical techniques. However, the limited availability of curated datasets for training machine learning models hinders the adoption of AI in pharmaceuticals. Nevertheless, integrating big data analytics with AI may also facilitate a better understanding of molecular mechanisms underlying various diseases or identify novel biomarkers that could be targets of future drugs; this further creates lucrative opportunities for the market.
Regional Insights
America provides an improved landscape for the AI in pharmaceutical market with an early adoption of advanced technologies and supportive government policies. The United States is home to several leading AI startups leveraging AI for drug discovery, molecular modeling, clinical trials optimization, and personalized medicine. In the U.S., major pharmaceutical firms are partnering with AI-driven startups and investing heavily in research to expedite drug discovery and development. In the European region, countries such as France, Germany, and the United Kingdom have introduced national strategies propelling AI applications across industries, including pharmaceuticals. Although slower in comparison to other regions, Middle Eastern countries are advancing through investment in AI. Africa's potential lies in addressing unique healthcare challenges through its developing pharma ecosystem. The Asia Pacific region showcases significant growth in AI-driven pharmaceutical advancements with China, Japan, and India at the forefront. In addition, increasing public-private investments in pharmaceutical manufacturing infrastructure provides a positive landscape for AI deployments.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Pharmaceutical Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Pharmaceutical Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Artificial Intelligence in Pharmaceutical Market, highlighting leading vendors and their innovative profiles. These include AiCure, LLC, Aspen Technology Inc, Atomwise Inc, BenevolentAI SA, BioSymetrics Inc., BPGbio Inc., Butterfly Network, Inc., Cloud Pharmaceuticals, Inc., CloudMedX Inc., Cyclica Inc, Deargen Inc, Deep Genomics Incorporated, Euretos Services BV, Exscientia plc, Google LLC, Insilico Medicine, Intel Corporation, International Business Machines Corporation, InveniAI LLC, Isomorphic Labs, Microsoft Corporation, Novo Nordisk A/S, Oracle Corporation, Sanofi SA, Turbine Ltd., Viseven Europe OU, and XtalPi Inc..
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Artificial Intelligence in Pharmaceutical Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Pharmaceutical Market?
3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Pharmaceutical Market?
4. What is the market share of the leading vendors in the Artificial Intelligence in Pharmaceutical Market?
5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Pharmaceutical Market?