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市場調査レポート
商品コード
1112766
中小企業向け人工知能 (AI) の世界市場Artificial Intelligence in Small & Medium Business Market |
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中小企業向け人工知能 (AI) の世界市場 |
出版日: 2022年07月22日
発行: IndustryARC
ページ情報: 英文 124 Pages
納期: 2~3営業日
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中小企業向け人工知能 (AI) の市場規模は、2022年から2027年の予測期間中に22.10%のCAGRで成長し、2027年までに906億8,000万米ドルに達すると推定されます。中小企業セクターにおけるクラウドコンピューティング技術の採用の増加と、業界全体のモノのインターネット (IoT) 駆動ソリューションの展開が、主な市場促進要因となっています。
機械学習技術を用いた中小企業向け人工知能 (AI) の市場は、2021年に43.11%の最大シェアを占め、予測期間 (2022年~2027年) に大きく成長すると分析されています。機械学習は、中小企業の効率改善、製造不良の捕捉、機械故障の予測、計画外ダウンタイムの削減、生産性の向上を支援します。機械学習と人工知能の急速な強化は、中小規模の企業にとって、より適用範囲が広く、アクセスしやすい技術を生み出します。
銀行、金融サービス、保険 (BFSI) 分野における中小企業向け人工知能 (AI) 市場は、2022年から2027年にかけて25.12%のCAGRと最も速い速度で成長すると分析されています。BFSI業界における人工知能の成長は、中小企業の顧客体験を変革することができる革新的なデザイン中心でデータ駆動型の製品やサービスの導入が増加していることが主な要因となっています。
アジア太平洋地域の中小企業向け人工知能 (AI) 市場は、主にこの地域の中小企業におけるAI導入のための政府プログラムの増加によって、予測期間 (2022年~2027年) に26.34%のCAGRで最も速い速度で成長すると分析されています。
当レポートでは、世界の中小企業向け人工知能 (AI) の市場について分析し、市場の基本構造や主な促進・抑制要因、全体的な市場規模の動向見通し、セグメント別・地域別/主要国の詳細動向、資本取引/事業戦略の展開状況、主要企業のプロファイル、といった情報を取りまとめてお届けいたします。
The Artificial Intelligence in Small & Medium Business Market size is estimated to reach $90.68 Billion by 2027, growing at a CAGR of 22.10% during the forecast period 2022-2027 majorly due to the rising adoption of cloud computing technologies in small and medium enterprises sector coupled with the deployment of Internet of things (IoT) driven solution across the industry. Artificial intelligence plays a vital role in offering supreme customer relationship management solution, primarily in the BFSI sector which tend to propel the growth of Artificial Intelligence in the Small & Medium Business Market industry. For instance, as stated by Personetics, a leading global provider of data-driven personalization and customer engagement solutions for the Financial Services industry that 67% of small businesses want their bank to offer online cashflow management, data analysis, forecasting and budgeting tools to help businesses control their finances and simplify money management. This increasing demand of solutions tends to bring significant growth in the Artificial Intelligence in Small & Medium Business Market share during the forecast period. Moreover, the transformation of the education sector with the deployment of facial recognition technology to increase student engagement and interest increase security use is analyzed to drive Artificial Intelligence in the Small & Medium Business Market in coming years.
The "Artificial Intelligence in Small & Medium Business Market Report- Forecast (2022-2027)" by IndustryARC, covers an in-depth analysis of the following segments in the Artificial Intelligence in Small & Medium Business Market.
By Type: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI).
By Deployment: On-Premises, Cloud and Hybrid.
By Technology: Machine Learning, Deep Learning, Natural Language Processing and Others.
By Learning Model: Unsupervised Learning, Supervised Learning, Reinforced Learning, Semi-supervised Learning and Others.
By SME Market Type: Solo Proprietorship, Partnership, Closed Corporation and Limited Liability Partnership.
By Application: Customer Relationship Management, Fleet Management, Talent Management, Financial Reporting, Risk Assessment, Sales & Marketing Activity Handling, Improving Talent Acquisition, Visualization, Analysis & Reporting, Inventory Management, Security Application and Others.
By End-User Industry: BFSI, Retail & E-commerce, Healthcare, Media & Entertainment, Manufacturing, Automotive, Transportation & Logistics and Others.
By Geography: North America (U.S, Canada, Mexico), Europe (U.K, Germany, France, Italy, Spain, Netherlands and Others), APAC (China, Japan India, South Korea, Australia, Singapore, Others), South America (Brazil, Argentina, Chile, Colombia, Others), RoW (Middle East, Africa).
Rising adoption of cloud-based services by small and medium enterprises (SMEs) is analyzed to drive Artificial Intelligence in the Small & Medium Business Market during the forecast period 2022-2027.
Based on technology, the machine learning segment dominated the global Artificial Intelligence in the Small & Medium Business Market in 2021 owing to the extensive advantages it offers to the end-users which include improved efficiency, catch manufacturing defects, predicting machine failures, reducing unplanned downtime and increasing productivity.
Artificial Intelligence in the Small & Medium Business Market in the BFSI sector is expected to grow at the highest rate during the forecast period 2022-2027, owing to the increasing adoption of AI to leverage data from multiple sources to make faster as well as accurate decisions and provide individualized frictionless customer experiences in banking.
Asia-Pacific region is analysed to grow at the highest rate in the Artificial Intelligence in Small & Medium Business Market across the globe during the forecast period 2022-2027, owing to the increasing penetration of AI solutions across various SMEs coupled with rising government investments to boost the small and medium business organizations in this region.
Artificial Intelligence in Small & Medium Business Mrket Segment Analysis - by Technology
Artificial Intelligence in the Small & Medium Business Market with Machine Learning technology held the largest share of 43.11% in 2021 and is analyzed to witness significant growth during the forecast period 2022-2027. Machine learning helps small and medium enterprises to improve efficiency, catch manufacturing defects, predict machine failures, reduce unplanned downtime and increase productivity. Rapid enhancement of machine learning and artificial intelligence produces the technology more applicable and accessible to small and medium-scaled businesses. According to the report given by Forbes, AI and ML systems are being employed by enterprises to provide intelligence to their security systems. This can help Small & Medium Business in preventing cyberattacks and respond to suspicious behaviour, which can further aid cybersecurity teams to be more proactive in preventing threats and responding to active attacks in real-time. For instance, in 2020, the Indian government in a major initiative onboarded the latest IT tools of Artificial Intelligence (AI) and Machine Learning for providing assistance and solutions to Small & Medium businesses. This multi-modal system has a portal at the virtual level and technology-equipped physical control rooms at around 69 locations of the country which tend to contribute significantly to the growth of machine learning technology in the Artificial Intelligence in Small & Medium Business Market during the forecast period.
Artificial Intelligence in Small & Medium Business Market Segment Analysis - by End-user Industry
Artificial Intelligence in the Small & Medium Business Market in Banking, Financial Services and Insurance (BFSI) sector is analyzed to grow at the fastest rate with a CAGR of 25.12% between 2022 and 2027. The growth of artificial intelligence in BFSI industry is majorly driven by the increasing implementation of innovative design-centric and data-driven products and services that can transform the small & medium business customer experience. Artificial Intelligence spurs the digital experience and utilisation of data that will transform SME banking services. According to World Bank, small & medium businesses contribute to around 90% of businesses and more than 50% of employment worldwide. To ensure stability and protection of SMBs against exploitation, there is a growing demand to smoothen the credit process which leads to the emergence of fintech. It has emerged as the game-changers in the country's micro-credit scenario. This fintech is powered by emerging technologies such as AI, ML and Big Data and is bringing about a transitional shift in micro-lending for small & medium enterprises which is analyzed to contribute significantly to the growth of Artificial Intelligence in the Small & Medium Business Market in the BFSI industry during the forecast period.
Artificial Intelligence in Small & Medium Business Market Segment Analysis - by Geography
Artificial Intelligence in Small & Medium Business Market in Asia Pacific region is analysed to grow at the fastest rate, with a CAGR of 26.34% during the forecast period 2022-2027, majorly driven by the growing governmental programs for the implementation of AI in small and medium enterprises in this region. For instance, in March 2020, the Ministry of Industry and Information Technology (MIIT) in China issued a special action plan for the digital empowerment of SMBs. The Fudan-Ping, a Research Institute for Macroeconomy report confirms the necessity of this action plan and recommends that governments at all levels increase their support to large technology companies that are developing standardized digital services which meet the needs of SMEs and provide tax cuts and financing facilities for SMEs' digital transformation projects. Moreover, increasing government investments in the deployment of various AI technologies in this region tend to contribute significantly to the growth of Artificial Intelligence in the Small & Medium Business Market in Asia-Pacific region during the forecast period.
Artificial Intelligence in Small & Medium Business Market Drivers
The rise in the adoption of cloud-based solutions is a key factor driving the growth of Artificial Intelligence in the Small & Medium Business Market. This cloud-based solution will help in lowering the adoption costs, facilitates co-creation and innovation thereby driving AI-powered transformation in Small & Medium Business. Moreover, the use of AI in the cloud helps in the better synthesis of constantly evolving data systems for identifying helpful information. Then, this information can be implemented for practical business use cases. Recently, SMEs have shown a great interest in including cloud computing in their overall Information technology (IT) strategies. A recent report by The Science and Information (SAI) on the adoption rate of cloud service by SMEs informed that, 70% of SMEs have formerly bought at least two cloud services and 40% have bought six or more cloud services. At the same time, Dell reports that companies that invest in cloud-based solutions have witnessed 53% faster revenue growth than their competitors which tend to promote the growth of Artificial Intelligence in the Small & Medium Business Market during the forecast period.
In the past few years, artificial intelligence (AI) has not only moved to the top of the agenda for large businesses, but also for small and medium enterprises across the globe. AI is expected to benefit SMEs, including fighting Covid-19, enabling resilience and improving green, sustainable growth. AI in Small and Medium businesses is dominated by various industries such as e-commerce, healthcare and Insurance. Using AI-powered chatbots, many small and medium businesses with fewer human resources can offer world-class customer service and support to their existing and new users and delight them at every point of interaction. In addition, the AI can also perform some mundane tasks like scheduling business meetings and many more. For instance, according to the report given by American Express on 2021, more than 40% of customers demand quicker customer support and Artificial Intelligence can be that tool that can enable small businesses to fulfill this demand. These advantages offered by AI in SMBs tend to contribute significantly in its market growth during the forecast period.
Artificial Intelligence in Small & Medium Business Market Challenge
With the growing adoption of the digital technologies, the risks of cyberattacks and data breaches have increased significantly. These cyberattacks may cause huge financial losses to organizations and consumers. Therefore, tackling this data privacy and cyberattack issue is a major threat to the global artificial intelligence market. Small & Medium businesses have become one of the biggest targets for cyber-attacks in the past few years. As a result of inadequate security and a lack of awareness and training for staff, they have become easy prey. According to The Identity Theft Center, data breaches have increased by 38% since 2021, costing $4.24 million and forcing 78% of companies to re-evaluate their cybersecurity practices. In the last four years, the financial impact of cybercrimes has increased heavily and the time it takes to resolve cyberattacks has doubled. The increase in data from various sources is cumbersome for several IT teams. The inefficiency of managing exabytes and petabytes of data has increased the chances of security breaches and data losses. These factors tend to be a major factor restraining the growth of Artificial Intelligence in Small & Medium Business Market across the globe.
Artificial Intelligence in Small & Medium Business Market Industry Outlook
Amazon
IBM Corporation
Microsoft Corporation
Google LLC
NVIDIA Corporation
SAP SE
Oracle Corporation
Hewlett Packard Enterprises Development LP
SAS Institute Inc.
Salesforce Inc.
In April 2022, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company announced that the company invested more than $30 million to early-stage start-ups, known as new AWS Impact Accelerator, led by Black, Latino, LGBTQIA+ and women founders. As per the investment plan, every qualifying start-up receives up to $225,000 from AWS Impact Accelerator for accelerating their technological endeavors, including optimizing cloud infrastructure.
In April 2022, Amazon Web Services, Inc. (AWS), an Amazon.com, Inc. company signed a collaboration agreement with Boeing to offer support to Boeing in terms of extending the aerospace's existing cloud operations. The collaboration also streamlines Boeing's approach to cloud computing with the help of AWS. In addition, AWS power the new and existing Boeing digital applications to denote valuable insights for driving more efficient operations, product innovation and enhanced customer support.
In November 2021, IBM Corporation signed the partnership agreement with NeuReality, a semiconductor company for the next generation of AI-Centric computing system. The business partnership was developed to design AI Interface Platform, resulting in providing software integration support as well as the system-level validation in terms of the NR1 service platform availability.