市場調查報告書
商品編碼
1554285
增強智慧市場規模、佔有率和成長分析:按組成部分、按企業規模、按部署模式、按地區 - 行業預測,2024-2031 年Augmented Intelligence Market Size, Share, Growth Analysis, By Component (Software, Services), By Enterprise Size (SMEs, Large Enterprises), By Deployment Mode (Cloud, On-Premises), By Region - Industry Forecast 2024-2031 |
2022年全球增強智慧市場規模將為178.4億美元,預測期內(2024-2031年)複合年成長率為19.6%,從2023年的213.4億美元增至2031年的893.3億美元,預計還會成長。
增強智慧市場旨在透過整合人工智慧技術和人類專業知識來提高人類生產力、效率和決策能力。這種方法將人工智慧的運算能力與人類操作員的細緻判斷相結合,幫助組織和個人獲得更好的結果,獲得更深入的見解,並做出更明智的決策。巨量資料可用性的增加是該市場的主要促進因素。隨著資料量呈指數級成長,企業渴望利用人工智慧來獲得有價值的見解並推動資料驅動的決策。由於對人工智慧驅動的解決方案的需求不斷增加,增強智慧市場預計將顯著成長。隨著公司意識到利用人工智慧改善業務和增強決策流程的好處,對先進人工智慧技術的需求不斷成長。增強智慧市場提供了巨大的商機,儘管它面臨道德考慮和實施困難等挑戰。採用這些技術的公司將看到生產力、效率和洞察力的顯著提高。
Global Augmented Intelligence Market size was valued at USD 17.84 Billion in 2022 and is poised to grow from USD 21.34 Billion in 2023 to USD 89.33 Billion by 2031, at a CAGR of 19.6% during the forecast period (2024-2031).
The Augmented Intelligence market aims to enhance human productivity, efficiency, and decision-making by integrating AI technologies with human expertise. This approach combines the computational power of AI with the nuanced judgment of human operators, enabling organizations and individuals to achieve superior outcomes, gain profound insights, and make more informed decisions. The increasing availability of big data is a major driver for this market. As data volumes grow exponentially, businesses are eager to harness AI to extract valuable insights and drive data-informed decisions. The market for Augmented Intelligence is poised for substantial growth, driven by the rising demand for AI-powered solutions. As organizations recognize the benefits of using AI to refine their operations and enhance decision-making processes, the need for advanced AI technologies continues to rise. Despite facing challenges such as ethical considerations and implementation difficulties, the Augmented Intelligence market presents considerable opportunities. Companies that embrace these technologies stand to gain significant improvements in productivity, efficiency, and insight.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Augmented Intelligence market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Augmented Intelligence Market Segmental Analysis
The global augmented intelligence market is segmented based on component, Deployment mode, enterprise size, technology, vertical and region. Based on component, the market is segmented into software and services. Based on Deployment Mode, the market is segmented into Cloud, and On-Premises. Based on enterprise size, the market is segmented into SMBs, and large enterprises. Based on technology, the market is segmented into Machine Learning, Natural Language Processing, Computer Vision, and Others. Based on vertical, the market can be segmented into BFSI, IT & Telecom, Retail & Consumer Goods, Healthcare & Life Sciences, Manufacturing, Government & Defense, Energy & Utilities, Transportation & Logistics, Media & Entertainment, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Augmented Intelligence Market
Across various sectors, businesses are increasingly acknowledging the value of data-driven decision-making and are actively pursuing advanced analytics solutions to extract crucial insights. Augmented intelligence plays a key role in this process by utilizing machine learning algorithms and natural language processing to sift through extensive data sets, uncovering significant patterns and insights. In 2023, the demand for augmented intelligence is anticipated to rise as companies aim to enhance operational efficiency, elevate customer experiences, and foster innovation. The ability of augmented intelligence to provide actionable insights and support informed decision-making is driving its growing adoption among businesses looking to stay competitive and adapt to evolving market demands.
Restraints in the Global Augmented Intelligence Market
Given that augmented intelligence depends on the analysis and processing of vast amounts of data, ensuring data privacy and security is of paramount importance. Organizations must safeguard sensitive and confidential information throughout the data analysis process to prevent breaches and unauthorized access. As regulations tighten and concerns about data breaches increase, businesses may encounter difficulties in adopting augmented intelligence solutions while simultaneously maintaining stringent data privacy and compliance standards. Balancing the benefits of advanced analytics with the need for robust data protection measures presents a significant challenge for organizations.
Market Trends of the Global Augmented Intelligence Market
As augmented intelligence systems advance in complexity, there is an increasing demand for transparency and interpretability in AI-driven decisions. Explainable AI, which seeks to shed light on the decision-making processes of AI models, is expected to be a key trend in 2022. Both organizations and regulatory bodies will emphasize the importance of providing clear and understandable explanations for AI outputs, particularly in critical fields like healthcare and finance. Ensuring that augmented intelligence solutions offer transparent justifications for their decisions will be crucial. This focus on explainability aims to build trust and ensure accountability in AI applications, addressing concerns about how AI-driven insights are derived and used in sensitive and high-stakes scenarios.