市場調査レポート
商品コード
1452740
会計照合ソフトウェアの世界市場規模、シェア、成長分析、コンポーネント別、企業別、照合別 - 産業予測(2024-2031年)Global Account Reconciliation Software Market Size, Share, Growth Analysis, By Component, By Enterprise(Large Enterprises, Small & Medium Enterprises ), By Reconciliation - Industry Forecast 2024-2031 |
会計照合ソフトウェアの世界市場規模、シェア、成長分析、コンポーネント別、企業別、照合別 - 産業予測(2024-2031年) |
出版日: 2024年03月10日
発行: SkyQuest
ページ情報: 英文 197 Pages
納期: 3~5営業日
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会計照合ソフトウェアの世界市場規模は、2022年に23億米ドルと評価され、2023年の26億5,000万米ドルから2031年には80億9,000万米ドルに成長し、予測期間(2024年~2031年)のCAGRは15%で成長する見通しです。
さまざまな分野でデジタル技術の利用が増加しているため、照合ソフトウェアの需要が高まっています。特に米国では、都市部への移住者の増加、政府の政策、オンラインショッピングの増加などの要因により、小売業界は急速に適応しています。また、米国はオンライン・ショッピングが急成長している国のひとつでもあり、これが照合ソフト市場の成長を後押ししています。大企業も中小企業も、銀行の照合という時間のかかる作業に苦労しています。照合ソフトを使用することで、このプロセスがより迅速かつ正確になり、市場における企業のプレゼンス拡大に貢献します。また、資金照合ソフトを使用することで、企業は資金量に関する情報を迅速かつ効率的に得ることができ、市場の成長に貢献します。しかし、課題もあります。オンライン取引を狙ったサイバー攻撃が増加していることは、このソフトウェアが必ずしも安全ではないことを示しています。また、このソフトウェアを使用している企業は、データ入力時にミスをしたり、データ入力に時間がかかりすぎたり、大きな不正を見抜けなかったりといった問題を抱えていることがあります。こうした問題は特に中小企業に多く、ミスを犯しやすく、サイバー犯罪者の攻撃を受けやすいため、市場の成長が鈍化します。製造業の場合、不正を発見するためには照合ソフトを使うことが重要です。これらのプロセスを十分に注意深く見なければ、損失を被る可能性があります。皮肉なことに、照合ソフトはサイバー攻撃に役立つはずであるにもかかわらず、それを発見するのが必ずしも得意ではないため、自社の成長に支障をきたしています。このような状況の中、照合ソフトメーカーは人工知能(AI)を使って自社のソフトをより良いものにしようとしています。Oracle Corporation、SAP SE、Fiservといった大手企業は、機械学習やAIを利用して照合ソフトを改良しており、市場のさらなる成長に貢献する可能性があります。
Global Account Reconciliation Software Market size was valued at USD 2.30 billion in 2022 and is poised to grow from USD 2.65 billion in 2023 to USD 8.09 billion by 2031, growing at a CAGR of 15% in the forecast period (2024- 2031).
The increasing use of digital technology in various areas has led to a growing demand for reconciliation software. Especially in the United States, the retail industry is adapting quickly due to factors like more people moving to cities, government policies, and more online shopping. The U.S. is also one of the fastest-growing countries for online shopping, which is helping the reconciliation software market grow. Both big companies and smaller ones struggle with the time-consuming task of bank reconciliation. Using reconciliation software makes this process faster and more accurate, helping businesses expand their presence in the market. Using reconciliation software also helps businesses get quick and efficient information about how much money they have, which helps the market grow. But there are challenges too. More cyberattacks targeting online transactions show that the software isn't always secure. Also, businesses using this software sometimes have problems like making mistakes when typing in data, taking too long to enter data, and not being able to spot big frauds. These problems are especially common in smaller businesses, which are more likely to make mistakes and get attacked by cybercriminals, slowing down market growth. For manufacturing companies, using reconciliation software is important for finding frauds. If they don't watch these processes closely enough, they could lose money. Ironically, even though reconciliation software is supposed to help with cyberattacks, it's not always good at spotting them, which hurts its own growth. In this situation, reconciliation software makers are using artificial intelligence (AI) to make their software better. Big companies like Oracle Corporation, SAP SE, and Fiserv are using machine learning and AI to improve their reconciliation software, which could help the market grow more.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Account Reconciliation Software 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 Account Reconciliation Software Market Segmental Analysis
Global Account Reconciliation Software Market is segmented on the basis of component, deployment model, enterprise size, reconciliation type, industry vertical, region. By component, the market is segmented software, service. By deployment model, the market is segmented into on-premise, cloud. By enterprise size, the market is segmented into large enterprises, small & medium enterprises (SMEs). By reconciliation type, the market is segmented into bank reconciliation, customer reconciliation, inter-company reconciliation, others. By industry vertical, the market is segmented into BFSI, manufacturing, retail & E-commerce, healthcare, IT & telecom, energy & utilities, government & public sector, and others. By region, the market is segmented into North America, Europe, Latin America, Asia- Pacific, Middle East and Africa.
Drivers of the Global Account Reconciliation Software Market
More and more people are shopping online, which means there's a lot more financial data to deal with. This calls for automated reconciliation solutions to help manage all this data more efficiently.
Restraints in the Global Account Reconciliation Software Market
Setting up account reconciliation software can be expensive at first. This includes buying the software, training people to use it, and possibly making changes to the way things are set up. These costs might stop some organizations from using it.
Market Trends of the Global Account Reconciliation Software Market
More and more businesses are choosing cloud-based solutions because they're flexible, scalable, and can be accessed remotely. This means they can share data in real-time and save money on infrastructure costs.