글로벌 증강 분석 시장 규모, 점유율 및 추세 분석 보고서 – 산업 개요 및 2031년까지의 예측

증강 분석 시장 분석

증강 분석 시장은 머신 러닝, 자연어 처리, 데이터 시각화 기술의 발전으로 인해 상당한 성장을 경험하고 있습니다. 이러한 혁신은 사용자가 방대한 데이터 세트를 보다 직관적으로 분석할 수 있도록 하여 데이터 과학자에 대한 의존도를 줄입니다. 주목할 만한 방법 중 하나는 자동화된 데이터 준비로, 데이터 정리 및 통합 프로세스를 간소화하여 조직이 더 빠르게 통찰력을 생성할 수 있도록 합니다.

또한 고급 시각화 도구는 대화형 대시보드를 만드는 데 도움이 되어 사용자가 데이터를 동적으로 탐색할 수 있습니다. 클라우드 기반 솔루션의 채택도 증가하고 있는데, 이는 확장성과 유연성을 제공하여 모든 규모의 기업이 증강 분석을 이용할 수 있게 하기 때문입니다.

의료, 금융, 소매와 같은 산업은 이러한 기술을 활용하여 의사 결정을 개선하고 있습니다. 예를 들어, 의료 서비스 제공자는 증강 분석을 활용하여 환자 추세를 파악하고 치료 품질을 개선하는 반면, 소매업체는 개인화된 마케팅 전략을 위해 소비자 행동을 분석합니다.

전반적으로 증강 분석의 성장은 데이터 중심 문화를 육성하여 조직이 데이터 자산의 잠재력을 최대한 활용하고 정보에 입각한 결정을 신속하게 내릴 수 있도록 합니다. 더 많은 기업이 전략적 이니셔티브를 추진하는 데 있어 데이터의 가치를 인식함에 따라 이러한 추세는 계속될 것으로 예상됩니다.

증강 분석 시장 규모

글로벌 증강 분석 시장 규모는 2023년에 179억 5천만 달러로 평가되었으며, 2031년까지 1,482억 7천만 달러에 도달할 것으로 예상되며, 2024년에서 2031년까지의 예측 기간 동안 CAGR은 30.20%입니다. Data Bridge Market Research 팀이 큐레이팅한 시장 보고서에는 시장 가치, 성장률, 시장 세그먼트, 지리적 범위, 시장 참여자, 시장 시나리오와 같은 시장 통찰력 외에도 심층적인 전문가 분석, 수입/수출 분석, 가격 분석, 생산 소비 분석, 페슬 분석이 포함되어 있습니다.

증강 분석 시장 동향

“셀프 서비스 분석의 확산”

증강 분석 시장의 성장을 주도하는 특정 추세 중 하나는 셀프 서비스 분석 도구의 확산입니다. 조직은 IT 부서에 의존하지 않고도 비기술 사용자가 통찰력을 얻을 수 있도록 이러한 솔루션을 점점 더 많이 채택하고 있습니다. 예를 들어, 2023년 9월, 영국의 스케일업 기업인 Hadean은 BAE Systems와 협력하여 군사 훈련을 위한 고급 디지털 기술을 개발했습니다. 이 협업은 BAE가 최첨단 AI와 대규모 언어 모델을 Hadean Platform for Defence에 통합할 수 있도록 하는 새로운 엔터프라이즈 라이선스를 활용합니다. 이 파트너십은 군인에게 몰입적이고 확장 가능하며 상호 운용 가능한 집단 훈련 솔루션을 제공하여 다양한 서비스와 도메인에서 준비성과 효과를 향상시키는 것을 목표로 합니다.

보고서 범위 및 증강 분석 시장 세분화         

증강 분석 시장 정의

Augmented analytics is an advanced data analysis technique that leverages machine learning, artificial intelligence, and natural language processing to enhance data preparation, analysis, and visualization. It automates complex processes, enabling users to uncover insights more quickly and intuitively, even without extensive data expertise. By simplifying data interactions, augmented analytics empowers business users to ask questions, receive answers in real-time, and make data-driven decisions efficiently. This approach is transforming how organizations handle data, fostering a culture of self-service analytics and democratizing access to insights across various levels of the enterprise.

Augmented Analytics Market Dynamics

Drivers

• Demand for Self-Service Analytics

The demand for self-service analytics is a significant driver of the augmented analytics market. Businesses are increasingly adopting tools that empower non-technical users to derive insights without heavy reliance on IT departments. Augmented analytics platforms, such as Tableau and Microsoft Power BI, offer intuitive interfaces and drag-and-drop functionalities, making data exploration accessible to all employees. For instance, in May 2024, Oracle and Accenture joined forces to accelerate the adoption of generative AI, focusing on innovative solutions that empower Chief Financial Officers (CFOs) with AI-driven financial planning and analysis tools. This collaboration aims to optimize operations, drive efficiency, and fuel growth within organizations. By integrating AI capabilities into financial strategies, Oracle and Accenture are enabling businesses to make more informed decisions based on real-time data insights.

• Growth of Cloud-Based Solutions

The rise of cloud computing significantly drives the augmented analytics market by allowing organizations to adopt solutions with minimal upfront investments. Cloud-based platforms, such as Microsoft Azure and Google Cloud, provide scalable and flexible analytics tools that can be customized to meet varying business needs. For instance, in May 2024, IBM unveiled significant updates to its Watson X platform, enhancing its offerings with the release of a family of Granite models as open source. The launch also included InstructLab and new generative AI-powered data products, expanding the platform's capabilities. These updates aim to streamline AI development, allowing businesses to leverage advanced data analytics and artificial intelligence for improved decision-making and operational efficiency across various industries.

Opportunities

• Integration of AI and Machine Learning

The integration of AI and machine learning in augmented analytics presents significant market opportunities. These technologies automate data preparation, visualization, and insights generation, making analytics more efficient and accessible. For instance, in July 2024, Qlik announced the general availability of Qlik Talend Cloud, a robust solution that integrates advanced artificial intelligence with reliable data foundations. This comprehensive offering aims to facilitate seamless and secure adoption of AI technologies across organizations at scale. By combining data integration and AI capabilities, Qlik Talend Cloud empowers businesses to leverage data-driven insights, enhancing decision-making processes and operational efficiency.

• Integration with Existing Business Intelligence Tools

The integration of augmented analytics with existing business intelligence (BI) tools creates significant market opportunities. Many organizations utilize BI platforms such as Tableau, Power BI, or Qlik, and augmented analytics enhances these tools' capabilities by automating data preparation and analysis. For instance, in January 2023, Seerist Inc., a leader in augmented analytics for threat and security professionals, announced enhancements to its solution designed to elevate user experience. These new capabilities allow users to gain significant contextual intelligence, effectively filtering through data "noise" to extract meaningful insights. Furthermore, the updates enable organizations to customize the solution, targeting critical operational areas and enhancing their ability to respond to emerging threats and security challenges.

Restraints/Challenges

• High Implementation Costs

High implementation costs significantly restrain the augmented analytics market, particularly for small to medium enterprises (SMEs). These organizations often face budget constraints that make it difficult to invest in advanced analytics tools and technologies. The initial costs associated with purchasing software, integrating systems, and training personnel can be prohibitive, leading to reluctance in adopting these solutions. In addition, ongoing maintenance and subscription fees can further strain limited budgets, deterring SMEs from investing in augmented analytics. As a result, the high financial barriers restrict market growth, limiting the widespread adoption of augmented analytics and preventing potential competitive advantages that such tools could provide.

• Data Quality Issues

Data quality issues significantly hinder the augmented analytics market. The effectiveness of these tools relies heavily on the accuracy, completeness, and consistency of the underlying data. Poor data quality can lead to inaccurate insights, which may result in misguided business decisions and wasted resources. Consequently, organizations may become reluctant to adopt augmented analytics solutions, fearing that the potential risks outweigh the benefits. In addition, ongoing data maintenance and cleansing require substantial effort and resources, further complicating the implementation process. As businesses grapple with these challenges, the overall growth and adoption of the augmented analytics market may be severely impacted, limiting its potential benefits.

This market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.

Augmented Analytics Market Scope

The market is segmented on the basis of components, organization size, deployment type and vertical. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.

Component

• Software
• Services
  • Training and Consulting Services
  • Deployment and Integration
  •  Support and Maintenance

 Organization Size

• Large Enterprises
• Small and Medium-Sized Enterprises

 Deployment Type

• Cloud
• On-Premise

 Vertical

• Banking, Financial Services, and Insurance
• Telecom and IT
• Retail and Consumer Goods
• Healthcare and Life Sciences
• Manufacturing
• Government and Defense
• Energy and Utilities
• Transportation and Logistics
• Media and Entertainment
• Others

Augmented Analytics Market Regional Analysis

The market is analyzed and market size insights and trends are provided by components, organization size, deployment type and vertical as referenced above.

The countries covered in the market report are U.S., Canada, Mexico in North America, Germany, Sweden, Poland, Denmark, Italy, U.K., France, Spain, Netherland, Belgium, Switzerland, Turkey, Russia, Rest of Europe in Europe, Japan, China, India, South Korea, New Zealand, Vietnam, Australia, Singapore, Malaysia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in Asia-Pacific (APAC), Brazil, Argentina, Rest of South America as a part of South America, U.A.E, Saudi Arabia, Oman, Qatar, Kuwait, South Africa, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA).

North America is expected to dominate the augmented analytics market due to the initial adoption and innovative initiatives for advanced analytics solutions and practices such as natural language processing (NLP), machine learning (ML), and smart data preparation and discovery. Furthermore, the growing augmented analytics market application in business intelligence will further boost the growth of the augmented analytics market in the region during the forecast period.

Asia-Pacific is projected to observe significant amount of growth in the augmented analytics market due to the application of data discovery. Moreover, the growing adoption of business intelligence tools is further anticipated to propel the growth of the augmented analytics market in the region in the coming years.

The country section of the report also provides individual market impacting factors and changes in market regulation that impact the current and future trends of the market. Data points such as down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.

Augmented Analytics Market Share

The market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to market.

Augmented Analytics Market Leaders Operating in the Market Are:

• Salesforce (U.S.)
• SAP SE (Germany)
• IBM Corporation (U.S.)
• Microsoft (U.S.)
• Oracle (U.S.)
• Tableau Software (U.S.)
• MicroStrategy Incorporated (U.S.)
• SAS Institute Inc. (U.S.)
• QlikTech (Qlik) (Sweden)
• TIBCO Software Inc. (U.S.)
• Sisense Inc. (U.S.)
• Yellowfin International (Australia)
• ThoughtSpot Inc. (U.S.)
• Domo, Inc. (U.S.)

Latest Developments in Augmented Analytics Market

• In April 2024, Cloud Software Group, Inc. and Microsoft entered into an eight-year strategic partnership, solidifying their collaboration with a commitment of USD 1.65 billion. This alliance is designed to enhance Microsoft's cloud and AI offerings, aiming to deliver innovative joint solutions that will positively impact over 100 million users. By focusing on generative AI, the partnership seeks to transform how organizations utilize cloud technology and data analytics
• In May 2024, Oracle and Accenture joined forces to accelerate the adoption of generative AI, focusing on innovative solutions that empower Chief Financial Officers (CFOs) with AI-driven financial planning and analysis tools. This collaboration aims to optimize operations, drive efficiency, and fuel growth within organizations. By integrating AI capabilities into financial strategies, Oracle and Accenture are enabling businesses to make more informed decisions based on real-time data insights
• In May 2024, IBM unveiled significant updates to its Watson X platform, enhancing its offerings with the release of a family of Granite models as open source. The launch also included InstructLab and new generative AI-powered data products, expanding the platform's capabilities. These updates aim to streamline AI development, allowing businesses to leverage advanced data analytics and artificial intelligence for improved decision-making and operational efficiency across various industries
• In March 2024, SAP and NVIDIA announced an expansion of their partnership to accelerate the integration of generative AI into SAP’s cloud solutions. This collaboration leverages NVIDIA’s expertise in delivering AI capabilities at scale, helping enterprise customers adopt transformative technologies. By enhancing SAP's cloud offerings with advanced AI functionalities, the partnership aims to drive innovation and improve business processes, enabling companies to harness the full potential of their data
• In August 2023, Qlik was recognized on two Constellation ShortLists for its innovative solutions: Qlik AutoML for Artificial Intelligence and Machine Learning and Qlik Sense for Augmented BI and Analytics. These accolades highlight Qlik’s commitment to enabling early adopters and fast-followers in their digital transformation journeys. By providing cutting-edge technology and services, Qlik empowers organizations to make data-driven decisions and enhance their analytics capabilities effectively
• In September 2023, Hadean, a British scale-up, partnered with BAE Systems to develop advanced digital technologies for military training. The collaboration utilizes a new enterprise license allowing BAE to integrate state-of-the-art AI and Large Language Models into the Hadean Platform for Defence. This partnership aims to provide military personnel with immersive, scalable, and interoperable collective training solutions, enhancing their readiness and effectiveness across various services and domains
• 2023년 5월, TrinityLife Sciences와 WhizAI는 생명 과학 기업을 위한 AI 기반 통찰력을 혁신하는 것을 목표로 하는 전략적 파트너십을 발표했습니다. 이 협업을 통해 조직은 증강 분석을 빠르고 효율적으로 생성하고 공유할 수 있습니다. WhizAI의 기술은 Trinity의 엔터프라이즈 보고 플랫폼과 원활하게 통합되어 이해 관계자에게 실행 가능한 통찰력을 제공할 수 있습니다. 이 파트너십은 궁극적으로 생명 과학 및 의료 부문 내에서 의사 결정 프로세스를 개선하고 운영 효율성을 개선하는 것을 목표로 합니다.

SKU-52750