市場調查報告書
商品編碼
1413823
化學和材料資訊學領域的人工智慧市場:按產品、技術、部署、應用和最終用途分類 - 2024-2030 年全球預測AI in Chemical & Material Informatics Market by Offering (Services, Software), Technology (Computer Vision, Machine Learning, Predictive Analytics), Deployment, Application, End-Use - Global Forecast 2024-2030 |
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化學和材料資訊學領域的人工智慧市場規模預計到2023年為86.9億美元,2024年達到120.8億美元,預計到2030年將達到892.9億美元,複合年成長率為39.46%。
化學和材料資訊學領域人工智慧的全球市場
主要市場統計 | |
---|---|
基準年[2023] | 86.9億美元 |
預測年份 [2024] | 120.8億美元 |
預測年份 [2030] | 892.9億美元 |
複合年成長率(%) | 39.46% |
化學和材料資訊學背景下的人工智慧(AI)涉及機器學習和預測建模的應用,以解決化學和材料科學行業中的複雜問題。這一趨勢融合了人工智慧下新穎而強大的計算方法來研究、理解和預測化學品和材料的特性。該市場的主要成長催化劑包括技術發展以及對業務效率日益成長的需求。來自化學和材料行業的大量資料有助於高效的資料管理並支持市場成長。然而,高昂的投資成本、缺乏熟練的專業人員、對人工智慧可靠性的懷疑以及對資料安全和隱私的擔憂是阻礙市場成長的明顯挑戰。其他市場機會包括在研究和製造中快速增加機器人和自主系統的使用,為人工智慧整合開闢了進一步的可能性。雲端基礎的解決方案的接受度也為化學和材料領域的人工智慧服務供應商和軟體公司開闢了新的視野。
區域洞察
由於該地區的技術進步和充滿活力的創新生態系統,美洲化學和材料資訊學領域的人工智慧市場正在經歷顯著的趨勢,其中美國對人工智慧技術的採用做出了重大貢獻並在研發方面進行了大量投資。此外,開始注重產業多元化的地區正在推動人工智慧在化學和材料行業的應用。 EMEA(歐洲、中東和非洲)地區人工智慧在化學和材料資訊學市場的應用呈現強勁成長。法國、德國和英國等歐洲主要國家處於推動化學產業數位轉型的前沿。中東正在利用人工智慧的潛力,特別是在石油和天然氣領域,而非洲市場雖然新興,但隨著數位素養的提高和基礎設施的發展,顯示出有希望的跡象。蓬勃發展的科技場景和人工智慧投資的增加正在推動亞太地區的強勁成長。隨著新興國家在包括化學工業在內的所有工業領域採用人工智慧,以及數位經濟的蓬勃發展,亞太地區有望大幅擴展人工智慧在化學和材料資訊學領域的應用。
FPNV定位矩陣
FPNV定位矩陣對於評估化學和材料資訊學市場的AI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個綜合工具,可以對化學品和材料資訊學市場中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-化學和材料資訊學領域AI市場的市場規模和預測是多少?
2-在化學品和材料資訊學市場的人工智慧預測期內,有哪些產品、細分市場、應用程式和領域需要考慮投資?
3-化學和材料資訊學領域AI市場的技術趨勢和法律規範是什麼?
4-化學和材料資訊學市場AI主要廠商的市場佔有率是多少?
5-進入化學和材料資訊學領域的AI市場合適的型態和策略手段是什麼?
[186 Pages Report] The AI in Chemical & Material Informatics Market size was estimated at USD 8.69 billion in 2023 and expected to reach USD 12.08 billion in 2024, at a CAGR 39.46% to reach USD 89.29 billion by 2030.
Global AI in Chemical & Material Informatics Market
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 8.69 billion |
Estimated Year [2024] | USD 12.08 billion |
Forecast Year [2030] | USD 89.29 billion |
CAGR (%) | 39.46% |
Artificial intelligence (AI) within the context of chemical and materials informatics pertains to the application of machine learning and predictive modeling to solve complex problems in the chemical and materials science industries. This stream converges the novel and powerful computational methodologies under AI to study, understand, and predict the properties of chemicals and materials. Main growth catalysts in this market encompass technological developments along with a heightened need for operational efficiency. The troves of data from the chemical and material industry instigates efficient data management practices, bolstering the market's growth. However, the high investment costs, a dearth of skilled professionals, AI reliability skepticism, alongside data security and privacy concerns are distinct challenges that impede market growth. Additional market opportunities include the burgeoning use of robotics and autonomous systems in research and manufacturing, opening doors for further AI integration. The acceptance of cloud-based solutions also fosters new prospects for AI service providers and software companies in the chemical and material sector.
Regional Insights
The Americas AI in chemical & material informatics market shows a remarkable trend owing to the region's technological advancements and dynamic innovation ecosystem, where the United States majorly contributing to adopting AI technologies and investing heavily in R&D. Additionally, regions's growing focus on industrial diversification is pushing for AI utilization across its chemical and materials industry. The EMEA region presents robust growth in the application of AI in chemical and material informatics market. Major European countries such as France, Germany, and the UK are spearheading the digital transformation drive in the chemical industry. The Middle East is leveraging AI potential, particularly in the oil and gas sector, while Africa's market, though nascent, is showing promising signs owing to growing digital literacy and infrastructure development. In the APAC region, a burgeoning tech scene and increased investments in AI are driving considerable growth. With emerging economies employing AI in every industrial sector, including the chemical industry, and booming digital economies, the APAC region is poised to significantly expand AI applications within Chemical and Material Informatics.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the AI in Chemical & Material Informatics 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 AI in Chemical & Material Informatics 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 AI in Chemical & Material Informatics Market, highlighting leading vendors and their innovative profiles. These include AI Materia, Ansatz AI, Bytelab Solutions SL. All, Chemical.AI, Citrine Informatics, Dassault Systemes SE, ENEOS Corporation, Enthought, Inc., Fujitsu Limited, Hitachi High-Tech Corporation, International Business Machines Corporation, Kebotix, Inc., Mat3ra, Materials.Zone Ltd., Mitsubishi Chemical Holdings Corporation, Noble Artificial Intelligence, Inc., PerkinElmer Inc, Phaseshift Technologies Inc., Polymerize Private Limited, Schrodinger, Inc., Sumitomo Chemical Co., Ltd., TDK Corporation, Tilde Materials Informatics, Toray Industries, Inc., and Uncountable 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 AI in Chemical & Material Informatics Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the AI in Chemical & Material Informatics Market?
3. What are the technology trends and regulatory frameworks in the AI in Chemical & Material Informatics Market?
4. What is the market share of the leading vendors in the AI in Chemical & Material Informatics Market?
5. Which modes and strategic moves are suitable for entering the AI in Chemical & Material Informatics Market?